Datasets:

Sujithanumala

/

code_parrot_tokenized

like 0

hbhdytf/mac2

build/lib.linux-x86_64-2.7/swift/common/middleware/account_quotas.py

39

5676

# Copyright (c) 2013 OpenStack Foundation. # # 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. """ ``account_quotas`` is a middleware which blocks write requests (PUT, POST) if a given account quota (in bytes) is exceeded while DELETE requests are still allowed. ``account_quotas`` uses the ``x-account-meta-quota-bytes`` metadata entry to store the quota. Write requests to this metadata entry are only permitted for resellers. There is no quota limit if ``x-account-meta-quota-bytes`` is not set. The ``account_quotas`` middleware should be added to the pipeline in your ``/etc/swift/proxy-server.conf`` file just after any auth middleware. For example:: [pipeline:main] pipeline = catch_errors cache tempauth account_quotas proxy-server [filter:account_quotas] use = egg:swift#account_quotas To set the quota on an account:: swift -A http://127.0.0.1:8080/auth/v1.0 -U account:reseller -K secret \ post -m quota-bytes:10000 Remove the quota:: swift -A http://127.0.0.1:8080/auth/v1.0 -U account:reseller -K secret \ post -m quota-bytes: The same limitations apply for the account quotas as for the container quotas. For example, when uploading an object without a content-length header the proxy server doesn't know the final size of the currently uploaded object and the upload will be allowed if the current account size is within the quota. Due to the eventual consistency further uploads might be possible until the account size has been updated. """ from swift.common.constraints import check_copy_from_header from swift.common.swob import HTTPForbidden, HTTPBadRequest, \ HTTPRequestEntityTooLarge, wsgify from swift.common.utils import register_swift_info from swift.proxy.controllers.base import get_account_info, get_object_info class AccountQuotaMiddleware(object): """Account quota middleware See above for a full description. """ def __init__(self, app, *args, **kwargs): self.app = app @wsgify def __call__(self, request): if request.method not in ("POST", "PUT", "COPY"): return self.app try: ver, account, container, obj = request.split_path( 2, 4, rest_with_last=True) except ValueError: return self.app if not container: # account request, so we pay attention to the quotas new_quota = request.headers.get( 'X-Account-Meta-Quota-Bytes') remove_quota = request.headers.get( 'X-Remove-Account-Meta-Quota-Bytes') else: # container or object request; even if the quota headers are set # in the request, they're meaningless new_quota = remove_quota = None if remove_quota: new_quota = 0 # X-Remove dominates if both are present if request.environ.get('reseller_request') is True: if new_quota and not new_quota.isdigit(): return HTTPBadRequest() return self.app # deny quota set for non-reseller if new_quota is not None: return HTTPForbidden() if request.method == "POST" or not obj: return self.app if request.method == 'COPY': copy_from = container + '/' + obj else: if 'x-copy-from' in request.headers: src_cont, src_obj = check_copy_from_header(request) copy_from = "%s/%s" % (src_cont, src_obj) else: copy_from = None content_length = (request.content_length or 0) account_info = get_account_info(request.environ, self.app) if not account_info or not account_info['bytes']: return self.app try: quota = int(account_info['meta'].get('quota-bytes', -1)) except ValueError: return self.app if quota < 0: return self.app if copy_from: path = '/' + ver + '/' + account + '/' + copy_from object_info = get_object_info(request.environ, self.app, path) if not object_info or not object_info['length']: content_length = 0 else: content_length = int(object_info['length']) new_size = int(account_info['bytes']) + content_length if quota < new_size: resp = HTTPRequestEntityTooLarge(body='Upload exceeds quota.') if 'swift.authorize' in request.environ: orig_authorize = request.environ['swift.authorize'] def reject_authorize(*args, **kwargs): aresp = orig_authorize(*args, **kwargs) if aresp: return aresp return resp request.environ['swift.authorize'] = reject_authorize else: return resp return self.app def filter_factory(global_conf, **local_conf): """Returns a WSGI filter app for use with paste.deploy.""" register_swift_info('account_quotas') def account_quota_filter(app): return AccountQuotaMiddleware(app) return account_quota_filter

apache-2.0

druuu/django

django/contrib/flatpages/templatetags/flatpages.py

472

3632

from django import template from django.conf import settings from django.contrib.flatpages.models import FlatPage from django.contrib.sites.shortcuts import get_current_site register = template.Library() class FlatpageNode(template.Node): def __init__(self, context_name, starts_with=None, user=None): self.context_name = context_name if starts_with: self.starts_with = template.Variable(starts_with) else: self.starts_with = None if user: self.user = template.Variable(user) else: self.user = None def render(self, context): if 'request' in context: site_pk = get_current_site(context['request']).pk else: site_pk = settings.SITE_ID flatpages = FlatPage.objects.filter(sites__id=site_pk) # If a prefix was specified, add a filter if self.starts_with: flatpages = flatpages.filter( url__startswith=self.starts_with.resolve(context)) # If the provided user is not authenticated, or no user # was provided, filter the list to only public flatpages. if self.user: user = self.user.resolve(context) if not user.is_authenticated(): flatpages = flatpages.filter(registration_required=False) else: flatpages = flatpages.filter(registration_required=False) context[self.context_name] = flatpages return '' @register.tag def get_flatpages(parser, token): """ Retrieves all flatpage objects available for the current site and visible to the specific user (or visible to all users if no user is specified). Populates the template context with them in a variable whose name is defined by the ``as`` clause. An optional ``for`` clause can be used to control the user whose permissions are to be used in determining which flatpages are visible. An optional argument, ``starts_with``, can be applied to limit the returned flatpages to those beginning with a particular base URL. This argument can be passed as a variable or a string, as it resolves from the template context. Syntax:: {% get_flatpages ['url_starts_with'] [for user] as context_name %} Example usage:: {% get_flatpages as flatpages %} {% get_flatpages for someuser as flatpages %} {% get_flatpages '/about/' as about_pages %} {% get_flatpages prefix as about_pages %} {% get_flatpages '/about/' for someuser as about_pages %} """ bits = token.split_contents() syntax_message = ("%(tag_name)s expects a syntax of %(tag_name)s " "['url_starts_with'] [for user] as context_name" % dict(tag_name=bits[0])) # Must have at 3-6 bits in the tag if len(bits) >= 3 and len(bits) <= 6: # If there's an even number of bits, there's no prefix if len(bits) % 2 == 0: prefix = bits[1] else: prefix = None # The very last bit must be the context name if bits[-2] != 'as': raise template.TemplateSyntaxError(syntax_message) context_name = bits[-1] # If there are 5 or 6 bits, there is a user defined if len(bits) >= 5: if bits[-4] != 'for': raise template.TemplateSyntaxError(syntax_message) user = bits[-3] else: user = None return FlatpageNode(context_name, starts_with=prefix, user=user) else: raise template.TemplateSyntaxError(syntax_message)

bsd-3-clause

oaklen/Shelf

node_modules/npm/node_modules/node-gyp/gyp/pylib/gyp/easy_xml.py

1558

4945

# Copyright (c) 2011 Google Inc. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import re import os def XmlToString(content, encoding='utf-8', pretty=False): """ Writes the XML content to disk, touching the file only if it has changed. Visual Studio files have a lot of pre-defined structures. This function makes it easy to represent these structures as Python data structures, instead of having to create a lot of function calls. Each XML element of the content is represented as a list composed of: 1. The name of the element, a string, 2. The attributes of the element, a dictionary (optional), and 3+. The content of the element, if any. Strings are simple text nodes and lists are child elements. Example 1: <test/> becomes ['test'] Example 2: <myelement a='value1' b='value2'> <childtype>This is</childtype> <childtype>it!</childtype> </myelement> becomes ['myelement', {'a':'value1', 'b':'value2'}, ['childtype', 'This is'], ['childtype', 'it!'], ] Args: content: The structured content to be converted. encoding: The encoding to report on the first XML line. pretty: True if we want pretty printing with indents and new lines. Returns: The XML content as a string. """ # We create a huge list of all the elements of the file. xml_parts = ['<?xml version="1.0" encoding="%s"?>' % encoding] if pretty: xml_parts.append('\n') _ConstructContentList(xml_parts, content, pretty) # Convert it to a string return ''.join(xml_parts) def _ConstructContentList(xml_parts, specification, pretty, level=0): """ Appends the XML parts corresponding to the specification. Args: xml_parts: A list of XML parts to be appended to. specification: The specification of the element. See EasyXml docs. pretty: True if we want pretty printing with indents and new lines. level: Indentation level. """ # The first item in a specification is the name of the element. if pretty: indentation = ' ' * level new_line = '\n' else: indentation = '' new_line = '' name = specification[0] if not isinstance(name, str): raise Exception('The first item of an EasyXml specification should be ' 'a string. Specification was ' + str(specification)) xml_parts.append(indentation + '<' + name) # Optionally in second position is a dictionary of the attributes. rest = specification[1:] if rest and isinstance(rest[0], dict): for at, val in sorted(rest[0].iteritems()): xml_parts.append(' %s="%s"' % (at, _XmlEscape(val, attr=True))) rest = rest[1:] if rest: xml_parts.append('>') all_strings = reduce(lambda x, y: x and isinstance(y, str), rest, True) multi_line = not all_strings if multi_line and new_line: xml_parts.append(new_line) for child_spec in rest: # If it's a string, append a text node. # Otherwise recurse over that child definition if isinstance(child_spec, str): xml_parts.append(_XmlEscape(child_spec)) else: _ConstructContentList(xml_parts, child_spec, pretty, level + 1) if multi_line and indentation: xml_parts.append(indentation) xml_parts.append('</%s>%s' % (name, new_line)) else: xml_parts.append('/>%s' % new_line) def WriteXmlIfChanged(content, path, encoding='utf-8', pretty=False, win32=False): """ Writes the XML content to disk, touching the file only if it has changed. Args: content: The structured content to be written. path: Location of the file. encoding: The encoding to report on the first line of the XML file. pretty: True if we want pretty printing with indents and new lines. """ xml_string = XmlToString(content, encoding, pretty) if win32 and os.linesep != '\r\n': xml_string = xml_string.replace('\n', '\r\n') try: xml_string = xml_string.encode(encoding) except Exception: xml_string = unicode(xml_string, 'latin-1').encode(encoding) # Get the old content try: f = open(path, 'r') existing = f.read() f.close() except: existing = None # It has changed, write it if existing != xml_string: f = open(path, 'w') f.write(xml_string) f.close() _xml_escape_map = { '"': '&quot;', "'": '&apos;', '<': '&lt;', '>': '&gt;', '&': '&amp;', '\n': '&#xA;', '\r': '&#xD;', } _xml_escape_re = re.compile( "(%s)" % "|".join(map(re.escape, _xml_escape_map.keys()))) def _XmlEscape(value, attr=False): """ Escape a string for inclusion in XML.""" def replace(match): m = match.string[match.start() : match.end()] # don't replace single quotes in attrs if attr and m == "'": return m return _xml_escape_map[m] return _xml_escape_re.sub(replace, value)

mit

macosforge/ccs-calendarserver

txdav/caldav/datastore/scheduling/ischedule/remoteservers.py

1

6936

## # Copyright (c) 2006-2017 Apple 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. ## from twext.python.filepath import CachingFilePath as FilePath from twext.python.log import Logger from twistedcaldav.config import config, fullServerPath from twistedcaldav import xmlutil """ XML based iSchedule configuration file handling. This is for handling of remote servers. The localservers.py module handles servers that are local (podded). """ __all__ = [ "IScheduleServers", ] log = Logger() class IScheduleServers(object): _fileInfo = None _xmlFile = None _servers = None _domainMap = None def __init__(self): if IScheduleServers._servers is None: self._loadConfig() def _loadConfig(self): if config.Scheduling.iSchedule.RemoteServers: if IScheduleServers._servers is None: IScheduleServers._xmlFile = FilePath( fullServerPath( config.ConfigRoot, config.Scheduling.iSchedule.RemoteServers, ) ) if IScheduleServers._xmlFile.exists(): IScheduleServers._xmlFile.restat() fileInfo = (IScheduleServers._xmlFile.getmtime(), IScheduleServers._xmlFile.getsize()) if fileInfo != IScheduleServers._fileInfo: parser = IScheduleServersParser(IScheduleServers._xmlFile) IScheduleServers._servers = parser.servers self._mapDomains() IScheduleServers._fileInfo = fileInfo else: IScheduleServers._servers = () IScheduleServers._domainMap = {} else: IScheduleServers._servers = () IScheduleServers._domainMap = {} def _mapDomains(self): IScheduleServers._domainMap = {} for server in IScheduleServers._servers: for domain in server.domains: IScheduleServers._domainMap[domain] = server def mapDomain(self, domain): """ Map a calendar user address domain to a suitable server that can handle server-to-server requests for that user. """ return IScheduleServers._domainMap.get(domain) ELEMENT_SERVERS = "servers" ELEMENT_SERVER = "server" ELEMENT_URI = "uri" ELEMENT_AUTHENTICATION = "authentication" ATTRIBUTE_TYPE = "type" ATTRIBUTE_BASICAUTH = "basic" ELEMENT_USER = "user" ELEMENT_PASSWORD = "password" ELEMENT_ALLOW_REQUESTS_FROM = "allow-requests-from" ELEMENT_ALLOW_REQUESTS_TO = "allow-requests-to" ELEMENT_DOMAINS = "domains" ELEMENT_DOMAIN = "domain" ELEMENT_CLIENT_HOSTS = "hosts" ELEMENT_HOST = "host" class IScheduleServersParser(object): """ Server-to-server configuration file parser. """ def __repr__(self): return "<{} {}>".format(self.__class__.__name__, self.xmlFile) def __init__(self, xmlFile): self.servers = [] # Read in XML _ignore_etree, servers_node = xmlutil.readXML(xmlFile.path, ELEMENT_SERVERS) self._parseXML(servers_node) def _parseXML(self, node): """ Parse the XML root node from the server-to-server configuration document. @param node: the L{Node} to parse. """ for child in node: if child.tag == ELEMENT_SERVER: self.servers.append(IScheduleServerRecord()) self.servers[-1].parseXML(child) class IScheduleServerRecord (object): """ Contains server-to-server details. """ def __init__(self, uri=None, rewriteCUAddresses=True, moreHeaders=[], podding=False): """ @param recordType: record type for directory entry. """ self.uri = "" self.authentication = None self.allow_from = False self.allow_to = True self.domains = [] self.client_hosts = [] self.rewriteCUAddresses = rewriteCUAddresses self.moreHeaders = moreHeaders self._podding = podding if uri: self.uri = uri self._parseDetails() def details(self): return (self.ssl, self.host, self.port, self.path,) def podding(self): return self._podding def redirect(self, location): """ Permanent redirect for the lifetime of this record. """ self.uri = location self._parseDetails() def parseXML(self, node): for child in node: if child.tag == ELEMENT_URI: self.uri = child.text elif child.tag == ELEMENT_AUTHENTICATION: self._parseAuthentication(child) elif child.tag == ELEMENT_ALLOW_REQUESTS_FROM: self.allow_from = True elif child.tag == ELEMENT_ALLOW_REQUESTS_TO: self.allow_to = True elif child.tag == ELEMENT_DOMAINS: self._parseList(child, ELEMENT_DOMAIN, self.domains) elif child.tag == ELEMENT_CLIENT_HOSTS: self._parseList(child, ELEMENT_HOST, self.client_hosts) else: raise RuntimeError("[{}] Unknown attribute: {}".format(self.__class__, child.tag,)) self._parseDetails() def _parseList(self, node, element_name, appendto): for child in node: if child.tag == element_name: appendto.append(child.text) def _parseAuthentication(self, node): if node.get(ATTRIBUTE_TYPE) != ATTRIBUTE_BASICAUTH: return for child in node: if child.tag == ELEMENT_USER: user = child.text elif child.tag == ELEMENT_PASSWORD: password = child.text self.authentication = ("basic", user, password,) def _parseDetails(self): # Extract scheme, host, port and path if self.uri.startswith("http://"): self.ssl = False rest = self.uri[7:] elif self.uri.startswith("https://"): self.ssl = True rest = self.uri[8:] splits = rest.split("/", 1) hostport = splits[0].split(":") self.host = hostport[0] if len(hostport) > 1: self.port = int(hostport[1]) else: self.port = {False: 80, True: 443}[self.ssl] self.path = "/" if len(splits) > 1: self.path += splits[1]

apache-2.0

rocky/python3-trepan

test/unit/test-cmdfns.py

1

2471

#!/usr/bin/env python3 'Unit test for trepan.processor.command.cmdfns' import unittest from trepan.processor import cmdfns as Mcmdfns class TestCommandHelper(unittest.TestCase): def setUp(self): self.errors = [] return def errmsg(self, msg): self.errors.append(msg) return def test_get_an_int(self): self.assertEqual(0, Mcmdfns.get_an_int(self.errmsg, '0', 'foo', 0)) self.assertEqual(0, len(self.errors)) self.assertEqual(6, Mcmdfns.get_an_int(self.errmsg, '6*1', 'foo', 5)) self.assertEqual(0, len(self.errors)) self.assertEqual(None, Mcmdfns.get_an_int(self.errmsg, '0', '0 is too small', 5)) self.assertEqual(1, len(self.errors)) self.assertEqual(None, Mcmdfns.get_an_int(self.errmsg, '4+a', '4+a is invalid', 5)) self.assertEqual('4+a is invalid', self.errors[-1]) return def test_get_int(self): self.assertEqual(1, Mcmdfns.get_int(self.errmsg, '1', 5)) self.assertEqual(3, Mcmdfns.get_int(self.errmsg, '1+2', 5)) self.assertEqual(5, Mcmdfns.get_int(self.errmsg, None, 5)) self.assertEqual(1, Mcmdfns.get_int(self.errmsg, None)) self.assertRaises(ValueError, Mcmdfns.get_int, *(self.errmsg, 'Foo', 5)) return def test_get_onoff(self): for arg in ('1', 'on'): self.assertEqual(True, Mcmdfns.get_onoff(self.errmsg, arg)) pass for arg in ('0', 'off'): self.assertEqual(False, Mcmdfns.get_onoff(self.errmsg, arg)) pass for result in (True, False): self.assertEqual(result, Mcmdfns.get_onoff(self.errmsg, None, result)) pass self.assertRaises(ValueError, Mcmdfns.get_onoff, *(self.errmsg, 'Foo')) return def test_want_different_line(self): for cmd, default, expected in [ ('s+', False, True), ('s-', True, False), ('s', False, False), ('n', True, True) ]: self.assertEqual(expected, Mcmdfns.want_different_line(cmd, default), cmd) pass return pass if __name__ == '__main__': unittest.main()

gpl-3.0

BrandonY/python-docs-samples

appengine/standard/multitenancy/datastore_test.py

9

1124

# Copyright 2015 Google Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import webtest import datastore def test_datastore(testbed): app = webtest.TestApp(datastore.app) response = app.get('/datastore') assert response.status_int == 200 assert 'Global: 1' in response.body response = app.get('/datastore/a') assert response.status_int == 200 assert 'Global: 2' in response.body assert 'a: 1' in response.body response = app.get('/datastore/b') assert response.status_int == 200 assert 'Global: 3' in response.body assert 'b: 1' in response.body

apache-2.0

darmaa/odoo

addons/edi/models/edi.py

44

31991

# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Business Applications # Copyright (c) 2011-2012 OpenERP S.A. <http://openerp.com> # # 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/>. # ############################################################################## import base64 import hashlib import simplejson as json import logging import re import time import urllib2 import openerp import openerp.release as release from openerp.osv import osv, fields from openerp.tools.translate import _ from openerp.tools.safe_eval import safe_eval as eval _logger = logging.getLogger(__name__) EXTERNAL_ID_PATTERN = re.compile(r'^([^.:]+)(?::([^.]+))?\.(\S+)$') EDI_VIEW_WEB_URL = '%s/edi/view?db=%s&token=%s' EDI_PROTOCOL_VERSION = 1 # arbitrary ever-increasing version number EDI_GENERATOR = 'OpenERP ' + release.major_version EDI_GENERATOR_VERSION = release.version_info def split_external_id(ext_id): match = EXTERNAL_ID_PATTERN.match(ext_id) assert match, \ _("'%s' is an invalid external ID") % (ext_id) return {'module': match.group(1), 'db_uuid': match.group(2), 'id': match.group(3), 'full': match.group(0)} def safe_unique_id(database_id, model, record_id): """Generate a unique string to represent a (database_uuid,model,record_id) pair without being too long, and with a very low probability of collisions. """ msg = "%s-%s-%s-%s" % (time.time(), database_id, model, record_id) digest = hashlib.sha1(msg).digest() # fold the sha1 20 bytes digest to 9 bytes digest = ''.join(chr(ord(x) ^ ord(y)) for (x,y) in zip(digest[:9], digest[9:-2])) # b64-encode the 9-bytes folded digest to a reasonable 12 chars ASCII ID digest = base64.urlsafe_b64encode(digest) return '%s-%s' % (model.replace('.','_'), digest) def last_update_for(record): """Returns the last update timestamp for the given record, if available, otherwise False """ if record._model._log_access: record_log = record.perm_read()[0] return record_log.get('write_date') or record_log.get('create_date') or False return False class edi(osv.AbstractModel): _name = 'edi.edi' _description = 'EDI Subsystem' def new_edi_token(self, cr, uid, record): """Return a new, random unique token to identify this model record, and to be used as token when exporting it as an EDI document. :param browse_record record: model record for which a token is needed """ db_uuid = self.pool.get('ir.config_parameter').get_param(cr, uid, 'database.uuid') edi_token = hashlib.sha256('%s-%s-%s-%s' % (time.time(), db_uuid, record._name, record.id)).hexdigest() return edi_token def serialize(self, edi_documents): """Serialize the given EDI document structures (Python dicts holding EDI data), using JSON serialization. :param [dict] edi_documents: list of EDI document structures to serialize :return: UTF-8 encoded string containing the serialized document """ serialized_list = json.dumps(edi_documents) return serialized_list def generate_edi(self, cr, uid, records, context=None): """Generates a final EDI document containing the EDI serialization of the given records, which should all be instances of a Model that has the :meth:`~.edi` mixin. The document is not saved in the database. :param list(browse_record) records: records to export as EDI :return: UTF-8 encoded string containing the serialized records """ edi_list = [] for record in records: record_model = record._model edi_list += record_model.edi_export(cr, uid, [record], context=context) return self.serialize(edi_list) def load_edi(self, cr, uid, edi_documents, context=None): """Import the given EDI document structures into the system, using :meth:`~.import_edi`. :param edi_documents: list of Python dicts containing the deserialized version of EDI documents :return: list of (model, id, action) tuple containing the model and database ID of all records that were imported in the system, plus a suggested action definition dict for displaying each document. """ ir_module = self.pool.get('ir.module.module') res = [] for edi_document in edi_documents: module = edi_document.get('__import_module') or edi_document.get('__module') assert module, 'a `__module` or `__import_module` attribute is required in each EDI document.' if module != 'base' and not ir_module.search(cr, uid, [('name','=',module),('state','=','installed')]): raise osv.except_osv(_('Missing Application.'), _("The document you are trying to import requires the OpenERP `%s` application. " "You can install it by connecting as the administrator and opening the configuration assistant.")%(module,)) model = edi_document.get('__import_model') or edi_document.get('__model') assert model, 'a `__model` or `__import_model` attribute is required in each EDI document.' assert model in self.pool, 'model `%s` cannot be found, despite module `%s` being available - '\ 'this EDI document seems invalid or unsupported.' % (model,module) model_obj = self.pool[model] record_id = model_obj.edi_import(cr, uid, edi_document, context=context) record_action = model_obj._edi_record_display_action(cr, uid, record_id, context=context) res.append((model, record_id, record_action)) return res def deserialize(self, edi_documents_string): """Return deserialized version of the given EDI Document string. :param str|unicode edi_documents_string: UTF-8 string (or unicode) containing JSON-serialized EDI document(s) :return: Python object representing the EDI document(s) (usually a list of dicts) """ return json.loads(edi_documents_string) def import_edi(self, cr, uid, edi_document=None, edi_url=None, context=None): """Import a JSON serialized EDI Document string into the system, first retrieving it from the given ``edi_url`` if provided. :param str|unicode edi: UTF-8 string or unicode containing JSON-serialized EDI Document to import. Must not be provided if ``edi_url`` is given. :param str|unicode edi_url: URL where the EDI document (same format as ``edi``) may be retrieved, without authentication. """ if edi_url: assert not edi_document, 'edi must not be provided if edi_url is given.' edi_document = urllib2.urlopen(edi_url).read() assert edi_document, 'EDI Document is empty!' edi_documents = self.deserialize(edi_document) return self.load_edi(cr, uid, edi_documents, context=context) class EDIMixin(object): """Mixin class for Model objects that want be exposed as EDI documents. Classes that inherit from this mixin class should override the ``edi_import()`` and ``edi_export()`` methods to implement their specific behavior, based on the primitives provided by this mixin.""" def _edi_requires_attributes(self, attributes, edi): model_name = edi.get('__imported_model') or edi.get('__model') or self._name for attribute in attributes: assert edi.get(attribute),\ 'Attribute `%s` is required in %s EDI documents.' % (attribute, model_name) # private method, not RPC-exposed as it creates ir.model.data entries as # SUPERUSER based on its parameters def _edi_external_id(self, cr, uid, record, existing_id=None, existing_module=None, context=None): """Generate/Retrieve unique external ID for ``record``. Each EDI record and each relationship attribute in it is identified by a unique external ID, which includes the database's UUID, as a way to refer to any record within any OpenERP instance, without conflict. For OpenERP records that have an existing "External ID" (i.e. an entry in ir.model.data), the EDI unique identifier for this record will be made of "%s:%s:%s" % (module, database UUID, ir.model.data ID). The database's UUID MUST NOT contain a colon characters (this is guaranteed by the UUID algorithm). For records that have no existing ir.model.data entry, a new one will be created during the EDI export. It is recommended that the generated external ID contains a readable reference to the record model, plus a unique value that hides the database ID. If ``existing_id`` is provided (because it came from an import), it will be used instead of generating a new one. If ``existing_module`` is provided (because it came from an import), it will be used instead of using local values. :param browse_record record: any browse_record needing an EDI external ID :param string existing_id: optional existing external ID value, usually coming from a just-imported EDI record, to be used instead of generating a new one :param string existing_module: optional existing module name, usually in the format ``module:db_uuid`` and coming from a just-imported EDI record, to be used instead of local values :return: the full unique External ID to use for record """ ir_model_data = self.pool.get('ir.model.data') db_uuid = self.pool.get('ir.config_parameter').get_param(cr, uid, 'database.uuid') ext_id = record.get_external_id()[record.id] if not ext_id: ext_id = existing_id or safe_unique_id(db_uuid, record._name, record.id) # ID is unique cross-db thanks to db_uuid (already included in existing_module) module = existing_module or "%s:%s" % (record._original_module, db_uuid) _logger.debug("%s: Generating new external ID `%s.%s` for %r.", self._name, module, ext_id, record) ir_model_data.create(cr, openerp.SUPERUSER_ID, {'name': ext_id, 'model': record._name, 'module': module, 'res_id': record.id}) else: module, ext_id = ext_id.split('.') if not ':' in module: # this record was not previously EDI-imported if not module == record._original_module: # this could happen for data records defined in a module that depends # on the module that owns the model, e.g. purchase defines # product.pricelist records. _logger.debug('Mismatching module: expected %s, got %s, for %s.', module, record._original_module, record) # ID is unique cross-db thanks to db_uuid module = "%s:%s" % (module, db_uuid) return '%s.%s' % (module, ext_id) def _edi_record_display_action(self, cr, uid, id, context=None): """Returns an appropriate action definition dict for displaying the record with ID ``rec_id``. :param int id: database ID of record to display :return: action definition dict """ return {'type': 'ir.actions.act_window', 'view_mode': 'form,tree', 'view_type': 'form', 'res_model': self._name, 'res_id': id} def edi_metadata(self, cr, uid, records, context=None): """Return a list containing the boilerplate EDI structures for exporting ``records`` as EDI, including the metadata fields The metadata fields always include:: { '__model': 'some.model', # record model '__module': 'module', # require module '__id': 'module:db-uuid:model.id', # unique global external ID for the record '__last_update': '2011-01-01 10:00:00', # last update date in UTC! '__version': 1, # EDI spec version '__generator' : 'OpenERP', # EDI generator '__generator_version' : [6,1,0], # server version, to check compatibility. '__attachments_': } :param list(browse_record) records: records to export :return: list of dicts containing boilerplate EDI metadata for each record, at the corresponding index from ``records``. """ ir_attachment = self.pool.get('ir.attachment') results = [] for record in records: ext_id = self._edi_external_id(cr, uid, record, context=context) edi_dict = { '__id': ext_id, '__last_update': last_update_for(record), '__model' : record._name, '__module' : record._original_module, '__version': EDI_PROTOCOL_VERSION, '__generator': EDI_GENERATOR, '__generator_version': EDI_GENERATOR_VERSION, } attachment_ids = ir_attachment.search(cr, uid, [('res_model','=', record._name), ('res_id', '=', record.id)]) if attachment_ids: attachments = [] for attachment in ir_attachment.browse(cr, uid, attachment_ids, context=context): attachments.append({ 'name' : attachment.name, 'content': attachment.datas, # already base64 encoded! 'file_name': attachment.datas_fname, }) edi_dict.update(__attachments=attachments) results.append(edi_dict) return results def edi_m2o(self, cr, uid, record, context=None): """Return a m2o EDI representation for the given record. The EDI format for a many2one is:: ['unique_external_id', 'Document Name'] """ edi_ext_id = self._edi_external_id(cr, uid, record, context=context) relation_model = record._model name = relation_model.name_get(cr, uid, [record.id], context=context) name = name and name[0][1] or False return [edi_ext_id, name] def edi_o2m(self, cr, uid, records, edi_struct=None, context=None): """Return a list representing a O2M EDI relationship containing all the given records, according to the given ``edi_struct``. This is basically the same as exporting all the record using :meth:`~.edi_export` with the given ``edi_struct``, and wrapping the results in a list. Example:: [ # O2M fields would be a list of dicts, with their { '__id': 'module:db-uuid.id', # own __id. '__last_update': 'iso date', # update date 'name': 'some name', #... }, # ... ], """ result = [] for record in records: result += record._model.edi_export(cr, uid, [record], edi_struct=edi_struct, context=context) return result def edi_m2m(self, cr, uid, records, context=None): """Return a list representing a M2M EDI relationship directed towards all the given records. This is basically the same as exporting all the record using :meth:`~.edi_m2o` and wrapping the results in a list. Example:: # M2M fields are exported as a list of pairs, like a list of M2O values [ ['module:db-uuid.id1', 'Task 01: bla bla'], ['module:db-uuid.id2', 'Task 02: bla bla'] ] """ return [self.edi_m2o(cr, uid, r, context=context) for r in records] def edi_export(self, cr, uid, records, edi_struct=None, context=None): """Returns a list of dicts representing EDI documents containing the records, and matching the given ``edi_struct``, if provided. :param edi_struct: if provided, edi_struct should be a dictionary with a skeleton of the fields to export. Basic fields can have any key as value, but o2m values should have a sample skeleton dict as value, to act like a recursive export. For example, for a res.partner record:: edi_struct: { 'name': True, 'company_id': True, 'address': { 'name': True, 'street': True, } } Any field not specified in the edi_struct will not be included in the exported data. Fields with no value (False) will be omitted in the EDI struct. If edi_struct is omitted, no fields will be exported """ if edi_struct is None: edi_struct = {} fields_to_export = edi_struct.keys() results = [] for record in records: edi_dict = self.edi_metadata(cr, uid, [record], context=context)[0] for field in fields_to_export: column = self._all_columns[field].column value = getattr(record, field) if not value and value not in ('', 0): continue elif column._type == 'many2one': value = self.edi_m2o(cr, uid, value, context=context) elif column._type == 'many2many': value = self.edi_m2m(cr, uid, value, context=context) elif column._type == 'one2many': value = self.edi_o2m(cr, uid, value, edi_struct=edi_struct.get(field, {}), context=context) edi_dict[field] = value results.append(edi_dict) return results def _edi_get_object_by_name(self, cr, uid, name, model_name, context=None): model = self.pool[model_name] search_results = model.name_search(cr, uid, name, operator='=', context=context) if len(search_results) == 1: return model.browse(cr, uid, search_results[0][0], context=context) return False def _edi_generate_report_attachment(self, cr, uid, record, context=None): """Utility method to generate the first PDF-type report declared for the current model with ``usage`` attribute set to ``default``. This must be called explicitly by models that need it, usually at the beginning of ``edi_export``, before the call to ``super()``.""" ir_actions_report = self.pool.get('ir.actions.report.xml') matching_reports = ir_actions_report.search(cr, uid, [('model','=',self._name), ('report_type','=','pdf'), ('usage','=','default')]) if matching_reports: report = ir_actions_report.browse(cr, uid, matching_reports[0]) result, format = openerp.report.render_report(cr, uid, [record.id], report.report_name, {'model': self._name}, context=context) eval_context = {'time': time, 'object': record} if not report.attachment or not eval(report.attachment, eval_context): # no auto-saving of report as attachment, need to do it manually result = base64.b64encode(result) file_name = record.name_get()[0][1] file_name = re.sub(r'[^a-zA-Z0-9_-]', '_', file_name) file_name += ".pdf" self.pool.get('ir.attachment').create(cr, uid, { 'name': file_name, 'datas': result, 'datas_fname': file_name, 'res_model': self._name, 'res_id': record.id, 'type': 'binary' }, context=context) def _edi_import_attachments(self, cr, uid, record_id, edi, context=None): ir_attachment = self.pool.get('ir.attachment') for attachment in edi.get('__attachments', []): # check attachment data is non-empty and valid file_data = None try: file_data = base64.b64decode(attachment.get('content')) except TypeError: pass assert file_data, 'Incorrect/Missing attachment file content.' assert attachment.get('name'), 'Incorrect/Missing attachment name.' assert attachment.get('file_name'), 'Incorrect/Missing attachment file name.' assert attachment.get('file_name'), 'Incorrect/Missing attachment file name.' ir_attachment.create(cr, uid, {'name': attachment['name'], 'datas_fname': attachment['file_name'], 'res_model': self._name, 'res_id': record_id, # should be pure 7bit ASCII 'datas': str(attachment['content']), }, context=context) def _edi_get_object_by_external_id(self, cr, uid, external_id, model, context=None): """Returns browse_record representing object identified by the model and external_id, or None if no record was found with this external id. :param external_id: fully qualified external id, in the EDI form ``module:db_uuid:identifier``. :param model: model name the record belongs to. """ ir_model_data = self.pool.get('ir.model.data') # external_id is expected to have the form: ``module:db_uuid:model.random_name`` ext_id_members = split_external_id(external_id) db_uuid = self.pool.get('ir.config_parameter').get_param(cr, uid, 'database.uuid') module = ext_id_members['module'] ext_id = ext_id_members['id'] modules = [] ext_db_uuid = ext_id_members['db_uuid'] if ext_db_uuid: modules.append('%s:%s' % (module, ext_id_members['db_uuid'])) if ext_db_uuid is None or ext_db_uuid == db_uuid: # local records may also be registered without the db_uuid modules.append(module) data_ids = ir_model_data.search(cr, uid, [('model','=',model), ('name','=',ext_id), ('module','in',modules)]) if data_ids: model = self.pool[model] data = ir_model_data.browse(cr, uid, data_ids[0], context=context) if model.exists(cr, uid, [data.res_id]): return model.browse(cr, uid, data.res_id, context=context) # stale external-id, cleanup to allow re-import, as the corresponding record is gone ir_model_data.unlink(cr, 1, [data_ids[0]]) def edi_import_relation(self, cr, uid, model, value, external_id, context=None): """Imports a M2O/M2M relation EDI specification ``[external_id,value]`` for the given model, returning the corresponding database ID: * First, checks if the ``external_id`` is already known, in which case the corresponding database ID is directly returned, without doing anything else; * If the ``external_id`` is unknown, attempts to locate an existing record with the same ``value`` via name_search(). If found, the given external_id will be assigned to this local record (in addition to any existing one) * If previous steps gave no result, create a new record with the given value in the target model, assign it the given external_id, and return the new database ID :param str value: display name of the record to import :param str external_id: fully-qualified external ID of the record :return: database id of newly-imported or pre-existing record """ _logger.debug("%s: Importing EDI relationship [%r,%r]", model, external_id, value) target = self._edi_get_object_by_external_id(cr, uid, external_id, model, context=context) need_new_ext_id = False if not target: _logger.debug("%s: Importing EDI relationship [%r,%r] - ID not found, trying name_get.", self._name, external_id, value) target = self._edi_get_object_by_name(cr, uid, value, model, context=context) need_new_ext_id = True if not target: _logger.debug("%s: Importing EDI relationship [%r,%r] - name not found, creating it.", self._name, external_id, value) # also need_new_ext_id here, but already been set above model = self.pool[model] res_id, _ = model.name_create(cr, uid, value, context=context) target = model.browse(cr, uid, res_id, context=context) else: _logger.debug("%s: Importing EDI relationship [%r,%r] - record already exists with ID %s, using it", self._name, external_id, value, target.id) if need_new_ext_id: ext_id_members = split_external_id(external_id) # module name is never used bare when creating ir.model.data entries, in order # to avoid being taken as part of the module's data, and cleanup up at next update module = "%s:%s" % (ext_id_members['module'], ext_id_members['db_uuid']) # create a new ir.model.data entry for this value self._edi_external_id(cr, uid, target, existing_id=ext_id_members['id'], existing_module=module, context=context) return target.id def edi_import(self, cr, uid, edi, context=None): """Imports a dict representing an EDI document into the system. :param dict edi: EDI document to import :return: the database ID of the imported record """ assert self._name == edi.get('__import_model') or \ ('__import_model' not in edi and self._name == edi.get('__model')), \ "EDI Document Model and current model do not match: '%s' (EDI) vs '%s' (current)." % \ (edi.get('__model'), self._name) # First check the record is now already known in the database, in which case it is ignored ext_id_members = split_external_id(edi['__id']) existing = self._edi_get_object_by_external_id(cr, uid, ext_id_members['full'], self._name, context=context) if existing: _logger.info("'%s' EDI Document with ID '%s' is already known, skipping import!", self._name, ext_id_members['full']) return existing.id record_values = {} o2m_todo = {} # o2m values are processed after their parent already exists for field_name, field_value in edi.iteritems(): # skip metadata and empty fields if field_name.startswith('__') or field_value is None or field_value is False: continue field_info = self._all_columns.get(field_name) if not field_info: _logger.warning('Ignoring unknown field `%s` when importing `%s` EDI document.', field_name, self._name) continue field = field_info.column # skip function/related fields if isinstance(field, fields.function): _logger.warning("Unexpected function field value is found in '%s' EDI document: '%s'." % (self._name, field_name)) continue relation_model = field._obj if field._type == 'many2one': record_values[field_name] = self.edi_import_relation(cr, uid, relation_model, field_value[1], field_value[0], context=context) elif field._type == 'many2many': record_values[field_name] = [self.edi_import_relation(cr, uid, relation_model, m2m_value[1], m2m_value[0], context=context) for m2m_value in field_value] elif field._type == 'one2many': # must wait until parent report is imported, as the parent relationship # is often required in o2m child records o2m_todo[field_name] = field_value else: record_values[field_name] = field_value module_ref = "%s:%s" % (ext_id_members['module'], ext_id_members['db_uuid']) record_id = self.pool.get('ir.model.data')._update(cr, uid, self._name, module_ref, record_values, xml_id=ext_id_members['id'], context=context) record_display, = self.name_get(cr, uid, [record_id], context=context) # process o2m values, connecting them to their parent on-the-fly for o2m_field, o2m_value in o2m_todo.iteritems(): field = self._all_columns[o2m_field].column dest_model = self.pool[field._obj] for o2m_line in o2m_value: # link to parent record: expects an (ext_id, name) pair o2m_line[field._fields_id] = (ext_id_members['full'], record_display[1]) dest_model.edi_import(cr, uid, o2m_line, context=context) # process the attachments, if any self._edi_import_attachments(cr, uid, record_id, edi, context=context) return record_id # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

agpl-3.0

matthiasrichter/AliceO2

Analysis/Scripts/update_ccdb.py

3

6042

#!/usr/bin/env python3 # Copyright 2019-2020 CERN and copyright holders of ALICE O2. # See https://alice-o2.web.cern.ch/copyright for details of the copyright holders. # All rights not expressly granted are reserved. # # This software is distributed under the terms of the GNU General Public # License v3 (GPL Version 3), copied verbatim in the file "COPYING". # # In applying this license CERN does not waive the privileges and immunities # granted to it by virtue of its status as an Intergovernmental Organization # or submit itself to any jurisdiction. """ Script to update the CCDB with timestamp non-overlapping objects. If an object is found in the range specified, the object is split into two. If the requested range was overlapping three objects are uploaded on CCDB: 1) latest object with requested timestamp validity 2) old object with validity [old_lower_validity-requested_lower_bound] 3) old object with validity [requested_upper_bound, old_upper_validity] Author: Nicolo' Jacazio on 2020-06-22 TODO add support for 3 files update """ import subprocess from datetime import datetime import matplotlib.pyplot as plt import argparse def convert_timestamp(ts): """ Converts the timestamp in milliseconds in human readable format """ return datetime.utcfromtimestamp(ts/1000).strftime('%Y-%m-%d %H:%M:%S') def get_ccdb_obj(path, timestamp, dest="/tmp/", verbose=0): """ Gets the ccdb object from 'path' and 'timestamp' and downloads it into 'dest' """ if verbose: print("Getting obj", path, "with timestamp", timestamp, convert_timestamp(timestamp)) cmd = f"o2-ccdb-downloadccdbfile --path {path} --dest {dest} --timestamp {timestamp}" subprocess.run(cmd.split()) def get_ccdb_obj_validity(path, dest="/tmp/", verbose=0): """ Gets the timestamp validity for an object downloaded from CCDB. Returns a list with the initial and end timestamps. """ cmd = f"o2-ccdb-inspectccdbfile {dest}{path}/snapshot.root" process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE) output, error = process.communicate() output = output.decode("utf-8").split("\n") error = error.decode("utf-8").split("\n") if error is not None else error if verbose: print("out:") print(*output, "\n") print("err:") print(error) result = list(filter(lambda x: x.startswith('Valid-'), output)) ValidFrom = result[0].split() ValidUntil = result[1].split() return [int(ValidFrom[-1]), int(ValidUntil[-1])] def upload_ccdb_obj(path, timestamp_from, timestamp_until, dest="/tmp/", meta=""): """ Uploads a new object to CCDB in the 'path' using the validity timestamp specified """ print("Uploading obj", path, "with timestamp", [timestamp_from, timestamp_until], convert_timestamp(timestamp_from), convert_timestamp(timestamp_until)) key = path.split("/")[-1] cmd = f"o2-ccdb-upload -f {dest}{path}/snapshot.root " cmd += f"--key {key} --path {path} " cmd += f"--starttimestamp {timestamp_from} --endtimestamp {timestamp_until} --meta \"{meta}\"" subprocess.run(cmd.split()) def main(path, timestamp_from, timestamp_until, verbose=0, show=False): """ Used to upload a new object to CCDB in 'path' valid from 'timestamp_from' to 'timestamp_until' Gets the object from CCDB specified in 'path' and for 'timestamp_from-1' Gets the object from CCDB specified in 'path' and for 'timestamp_until+1' If required plots the situation before and after the update """ get_ccdb_obj(path, timestamp_from-1) val_before = get_ccdb_obj_validity(path, verbose=verbose) get_ccdb_obj(path, timestamp_until+1) val_after = get_ccdb_obj_validity(path, verbose=verbose) overlap_before = val_before[1] > timestamp_from overlap_after = val_after[0] < timestamp_until if verbose: if overlap_before: print("Previous objects overalps") if overlap_after: print("Next objects overalps") trimmed_before = val_before if not overlap_before else [ val_before[0], timestamp_from - 1] trimmed_after = val_after if not overlap_after else [ timestamp_until+1, val_after[1]] if show: fig, ax = plt.subplots() fig def bef_af(v, y): return [v[0] - 1] + v + [v[1] + 1], [0, y, y, 0] if True: ax.plot(*bef_af(val_before, 0.95), label='before') ax.plot(*bef_af(val_after, 1.05), label='after') if False: ax.plot(*bef_af(trimmed_before, 0.9), label='trimmed before') ax.plot(*bef_af(trimmed_after, 1.1), label='trimmed after') ax.plot(*bef_af([timestamp_from, timestamp_until], 1), label='object') xlim = 10000000 plt.xlim([timestamp_from-xlim, timestamp_until+xlim]) plt.ylim(0, 2) plt.xlabel('Timestamp') plt.ylabel('Validity') plt.legend() plt.show() if __name__ == "__main__": parser = argparse.ArgumentParser( description="Uploads timestamp non overlapping objects to CCDB." "Basic example: `./update_ccdb.py qc/TOF/TOFTaskCompressed/hDiagnostic 1588956517161 1588986517161 --show --verbose`") parser.add_argument('path', metavar='path_to_object', type=str, help='Path of the object in the CCDB repository') parser.add_argument('timestamp_from', metavar='from_timestamp', type=int, help='Timestamp of start for the new object to use') parser.add_argument('timestamp_until', metavar='until_timestamp', type=int, help='Timestamp of stop for the new object to use') parser.add_argument('--verbose', '-v', action='count', default=0) parser.add_argument('--show', '-s', action='count', default=0) args = parser.parse_args() main(path=args.path, timestamp_from=args.timestamp_from, timestamp_until=args.timestamp_until, verbose=args.verbose, show=args.show)

gpl-3.0

Aravinthu/odoo

addons/website_event_sale/models/sale_order.py

16

4747

# -*- coding: utf-8 -*- from odoo import api, models, _ from odoo.exceptions import UserError class SaleOrder(models.Model): _inherit = "sale.order" @api.multi def _cart_find_product_line(self, product_id=None, line_id=None, **kwargs): self.ensure_one() lines = super(SaleOrder, self)._cart_find_product_line(product_id, line_id) if line_id: return lines domain = [('id', 'in', lines.ids)] if self.env.context.get("event_ticket_id"): domain.append(('event_ticket_id', '=', self.env.context.get("event_ticket_id"))) return self.env['sale.order.line'].sudo().search(domain) @api.multi def _website_product_id_change(self, order_id, product_id, qty=0): order = self.env['sale.order'].sudo().browse(order_id) if self._context.get('pricelist') != order.pricelist_id.id: self = self.with_context(pricelist=order.pricelist_id.id) values = super(SaleOrder, self)._website_product_id_change(order_id, product_id, qty=qty) event_ticket_id = None if self.env.context.get("event_ticket_id"): event_ticket_id = self.env.context.get("event_ticket_id") else: product = self.env['product.product'].browse(product_id) if product.event_ticket_ids: event_ticket_id = product.event_ticket_ids[0].id if event_ticket_id: ticket = self.env['event.event.ticket'].browse(event_ticket_id) if product_id != ticket.product_id.id: raise UserError(_("The ticket doesn't match with this product.")) values['product_id'] = ticket.product_id.id values['event_id'] = ticket.event_id.id values['event_ticket_id'] = ticket.id values['price_unit'] = ticket.price_reduce or ticket.price values['name'] = "%s\n%s" % (ticket.event_id.display_name, ticket.name) # avoid writing related values that end up locking the product record values.pop('event_ok', None) return values @api.multi def _cart_update(self, product_id=None, line_id=None, add_qty=0, set_qty=0, **kwargs): OrderLine = self.env['sale.order.line'] if line_id: line = OrderLine.browse(line_id) ticket = line.event_ticket_id old_qty = int(line.product_uom_qty) if ticket.id: self = self.with_context(event_ticket_id=ticket.id, fixed_price=1) else: line = None ticket = self.env['event.event.ticket'].search([('product_id', '=', product_id)], limit=1) old_qty = 0 new_qty = set_qty if set_qty else (add_qty or 0 + old_qty) # case: buying tickets for a sold out ticket values = {} if ticket and ticket.seats_availability == 'limited' and ticket.seats_available <= 0: values['warning'] = _('Sorry, The %(ticket)s tickets for the %(event)s event are sold out.') % { 'ticket': ticket.name, 'event': ticket.event_id.name} new_qty, set_qty, add_qty = 0, 0, 0 # case: buying tickets, too much attendees elif ticket and ticket.seats_availability == 'limited' and new_qty > ticket.seats_available: values['warning'] = _('Sorry, only %(remaining_seats)d seats are still available for the %(ticket)s ticket for the %(event)s event.') % { 'remaining_seats': ticket.seats_available, 'ticket': ticket.name, 'event': ticket.event_id.name} new_qty, set_qty, add_qty = ticket.seats_available, ticket.seats_available, 0 values.update(super(SaleOrder, self)._cart_update(product_id, line_id, add_qty, set_qty, **kwargs)) # removing attendees if ticket and new_qty < old_qty: attendees = self.env['event.registration'].search([ ('state', '!=', 'cancel'), ('sale_order_id', 'in', self.ids), # To avoid break on multi record set ('event_ticket_id', '=', ticket.id), ], offset=new_qty, limit=(old_qty - new_qty), order='create_date asc') attendees.button_reg_cancel() # adding attendees elif ticket and new_qty > old_qty: line = OrderLine.browse(values['line_id']) line._update_registrations(confirm=False, cancel_to_draft=True, registration_data=kwargs.get('registration_data', [])) # add in return values the registrations, to display them on website (or not) values['attendee_ids'] = self.env['event.registration'].search([('sale_order_line_id', '=', line.id), ('state', '!=', 'cancel')]).ids return values

agpl-3.0

CGATOxford/bioconda-recipes

recipes/topas/topas.py

38

2648

#!/usr/bin/env python # # Wrapper script for Java Conda packages that ensures that the java runtime # is invoked with the right options. Adapted from the bash script (http://stackoverflow.com/questions/59895/can-a-bash-script-tell-what-directory-its-stored-in/246128#246128). # # # Program Parameters # import os import sys import subprocess from os import access, getenv, X_OK jar_file = 'TOPAS.jar' default_jvm_mem_opts = ['-Xms512m', '-Xmx1g'] # !!! End of parameter section. No user-serviceable code below this line !!! def real_dirname(path): """Return the symlink-resolved, canonicalized directory-portion of path.""" return os.path.dirname(os.path.realpath(path)) def java_executable(): """Return the executable name of the Java interpreter.""" java_home = getenv('JAVA_HOME') java_bin = os.path.join('bin', 'java') if java_home and access(os.path.join(java_home, java_bin), X_OK): return os.path.join(java_home, java_bin) else: return 'java' def jvm_opts(argv): """Construct list of Java arguments based on our argument list. The argument list passed in argv must not include the script name. The return value is a 3-tuple lists of strings of the form: (memory_options, prop_options, passthrough_options) """ mem_opts = [] prop_opts = [] pass_args = [] for arg in argv: if arg.startswith('-D'): prop_opts.append(arg) elif arg.startswith('-XX'): prop_opts.append(arg) elif arg.startswith('-Xm'): mem_opts.append(arg) else: pass_args.append(arg) # In the original shell script the test coded below read: # if [ "$jvm_mem_opts" == "" ] && [ -z ${_JAVA_OPTIONS+x} ] # To reproduce the behaviour of the above shell code fragment # it is important to explictly check for equality with None # in the second condition, so a null envar value counts as True! if mem_opts == [] and getenv('_JAVA_OPTIONS') == None: mem_opts = default_jvm_mem_opts return (mem_opts, prop_opts, pass_args) def main(): java = java_executable() jar_dir = real_dirname(sys.argv[0]) (mem_opts, prop_opts, pass_args) = jvm_opts(sys.argv[1:]) if pass_args != [] and pass_args[0].startswith('eu'): jar_arg = '-cp' else: jar_arg = '-jar' jar_path = os.path.join(jar_dir, jar_file) java_args = [java]+ mem_opts + prop_opts + [jar_arg] + [jar_path] + pass_args if '--jar_dir' in sys.argv[1:]: print(jar_path) else: sys.exit(subprocess.call(java_args)) if __name__ == '__main__': main()

mit

jaxkodex/odoo

addons/point_of_sale/report/pos_order_report.py

283

4297

# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>). # # 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/>. # ############################################################################## from openerp import tools from openerp.osv import fields,osv class pos_order_report(osv.osv): _name = "report.pos.order" _description = "Point of Sale Orders Statistics" _auto = False _columns = { 'date': fields.datetime('Date Order', readonly=True), 'partner_id':fields.many2one('res.partner', 'Partner', readonly=True), 'product_id':fields.many2one('product.product', 'Product', readonly=True), 'state': fields.selection([('draft', 'New'), ('paid', 'Closed'), ('done', 'Synchronized'), ('invoiced', 'Invoiced'), ('cancel', 'Cancelled')], 'Status'), 'user_id':fields.many2one('res.users', 'Salesperson', readonly=True), 'price_total':fields.float('Total Price', readonly=True), 'total_discount':fields.float('Total Discount', readonly=True), 'average_price': fields.float('Average Price', readonly=True,group_operator="avg"), 'location_id':fields.many2one('stock.location', 'Location', readonly=True), 'company_id':fields.many2one('res.company', 'Company', readonly=True), 'nbr':fields.integer('# of Lines', readonly=True), # TDE FIXME master: rename into nbr_lines 'product_qty':fields.integer('Product Quantity', readonly=True), 'journal_id': fields.many2one('account.journal', 'Journal'), 'delay_validation': fields.integer('Delay Validation'), 'product_categ_id': fields.many2one('product.category', 'Product Category', readonly=True), } _order = 'date desc' def init(self, cr): tools.drop_view_if_exists(cr, 'report_pos_order') cr.execute(""" create or replace view report_pos_order as ( select min(l.id) as id, count(*) as nbr, s.date_order as date, sum(l.qty * u.factor) as product_qty, sum(l.qty * l.price_unit) as price_total, sum((l.qty * l.price_unit) * (l.discount / 100)) as total_discount, (sum(l.qty*l.price_unit)/sum(l.qty * u.factor))::decimal as average_price, sum(cast(to_char(date_trunc('day',s.date_order) - date_trunc('day',s.create_date),'DD') as int)) as delay_validation, s.partner_id as partner_id, s.state as state, s.user_id as user_id, s.location_id as location_id, s.company_id as company_id, s.sale_journal as journal_id, l.product_id as product_id, pt.categ_id as product_categ_id from pos_order_line as l left join pos_order s on (s.id=l.order_id) left join product_product p on (p.id=l.product_id) left join product_template pt on (pt.id=p.product_tmpl_id) left join product_uom u on (u.id=pt.uom_id) group by s.date_order, s.partner_id,s.state, pt.categ_id, s.user_id,s.location_id,s.company_id,s.sale_journal,l.product_id,s.create_date having sum(l.qty * u.factor) != 0)""") # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

agpl-3.0

fabianrost84/cython

Cython/Plex/Errors.py

33

1169

#======================================================================= # # Python Lexical Analyser # # Exception classes # #======================================================================= class PlexError(Exception): message = "" class PlexTypeError(PlexError, TypeError): pass class PlexValueError(PlexError, ValueError): pass class InvalidRegex(PlexError): pass class InvalidToken(PlexError): def __init__(self, token_number, message): PlexError.__init__(self, "Token number %d: %s" % (token_number, message)) class InvalidScanner(PlexError): pass class AmbiguousAction(PlexError): message = "Two tokens with different actions can match the same string" def __init__(self): pass class UnrecognizedInput(PlexError): scanner = None position = None state_name = None def __init__(self, scanner, state_name): self.scanner = scanner self.position = scanner.get_position() self.state_name = state_name def __str__(self): return ("'%s', line %d, char %d: Token not recognised in state %r" % ( self.position + (self.state_name,)))

apache-2.0

analurandis/Tur

backend/venv/Lib/site-packages/sphinx/builders/qthelp.py

11

10819

# -*- coding: utf-8 -*- """ sphinx.builders.qthelp ~~~~~~~~~~~~~~~~~~~~~~ Build input files for the Qt collection generator. :copyright: Copyright 2007-2014 by the Sphinx team, see AUTHORS. :license: BSD, see LICENSE for details. """ import os import re import codecs import posixpath from os import path from docutils import nodes from sphinx import addnodes from sphinx.builders.html import StandaloneHTMLBuilder from sphinx.util import force_decode from sphinx.util.pycompat import htmlescape _idpattern = re.compile( r'(?P<title>.+) (\((class in )?(?P<id>[\w\.]+)( (?P<descr>\w+))?\))$') # Qt Help Collection Project (.qhcp). # Is the input file for the help collection generator. # It contains references to compressed help files which should be # included in the collection. # It may contain various other information for customizing Qt Assistant. collection_template = u'''\ <?xml version="1.0" encoding="utf-8" ?> <QHelpCollectionProject version="1.0"> <assistant> <title>%(title)s</title> <homePage>%(homepage)s</homePage> <startPage>%(startpage)s</startPage> </assistant> <docFiles> <generate> <file> <input>%(outname)s.qhp</input> <output>%(outname)s.qch</output> </file> </generate> <register> <file>%(outname)s.qch</file> </register> </docFiles> </QHelpCollectionProject> ''' # Qt Help Project (.qhp) # This is the input file for the help generator. # It contains the table of contents, indices and references to the # actual documentation files (*.html). # In addition it defines a unique namespace for the documentation. project_template = u'''\ <?xml version="1.0" encoding="utf-8" ?> <QtHelpProject version="1.0"> <namespace>%(namespace)s</namespace> <virtualFolder>doc</virtualFolder> <customFilter name="%(project)s %(version)s"> <filterAttribute>%(outname)s</filterAttribute> <filterAttribute>%(version)s</filterAttribute> </customFilter> <filterSection> <filterAttribute>%(outname)s</filterAttribute> <filterAttribute>%(version)s</filterAttribute> <toc> <section title="%(title)s" ref="%(masterdoc)s.html"> %(sections)s </section> </toc> <keywords> %(keywords)s </keywords> <files> %(files)s </files> </filterSection> </QtHelpProject> ''' section_template = '<section title="%(title)s" ref="%(ref)s"/>' file_template = ' '*12 + '<file>%(filename)s</file>' class QtHelpBuilder(StandaloneHTMLBuilder): """ Builder that also outputs Qt help project, contents and index files. """ name = 'qthelp' # don't copy the reST source copysource = False supported_image_types = ['image/svg+xml', 'image/png', 'image/gif', 'image/jpeg'] # don't add links add_permalinks = False # don't add sidebar etc. embedded = True def init(self): StandaloneHTMLBuilder.init(self) # the output files for HTML help must be .html only self.out_suffix = '.html' #self.config.html_style = 'traditional.css' def handle_finish(self): self.build_qhp(self.outdir, self.config.qthelp_basename) def build_qhp(self, outdir, outname): self.info('writing project file...') # sections tocdoc = self.env.get_and_resolve_doctree(self.config.master_doc, self, prune_toctrees=False) istoctree = lambda node: ( isinstance(node, addnodes.compact_paragraph) and node.has_key('toctree')) sections = [] for node in tocdoc.traverse(istoctree): sections.extend(self.write_toc(node)) for indexname, indexcls, content, collapse in self.domain_indices: item = section_template % {'title': indexcls.localname, 'ref': '%s.html' % indexname} sections.append(' ' * 4 * 4 + item) # sections may be unicode strings or byte strings, we have to make sure # they are all unicode strings before joining them new_sections = [] for section in sections: if not isinstance(section, unicode): new_sections.append(force_decode(section, None)) else: new_sections.append(section) sections = u'\n'.join(new_sections) # keywords keywords = [] index = self.env.create_index(self, group_entries=False) for (key, group) in index: for title, (refs, subitems) in group: keywords.extend(self.build_keywords(title, refs, subitems)) keywords = u'\n'.join(keywords) # files if not outdir.endswith(os.sep): outdir += os.sep olen = len(outdir) projectfiles = [] staticdir = path.join(outdir, '_static') imagesdir = path.join(outdir, '_images') for root, dirs, files in os.walk(outdir): resourcedir = root.startswith(staticdir) or \ root.startswith(imagesdir) for fn in files: if (resourcedir and not fn.endswith('.js')) or \ fn.endswith('.html'): filename = path.join(root, fn)[olen:] projectfiles.append(file_template % {'filename': htmlescape(filename)}) projectfiles = '\n'.join(projectfiles) # it seems that the "namespace" may not contain non-alphanumeric # characters, and more than one successive dot, or leading/trailing # dots, are also forbidden nspace = 'org.sphinx.%s.%s' % (outname, self.config.version) nspace = re.sub('[^a-zA-Z0-9.]', '', nspace) nspace = re.sub(r'\.+', '.', nspace).strip('.') nspace = nspace.lower() # write the project file f = codecs.open(path.join(outdir, outname+'.qhp'), 'w', 'utf-8') try: f.write(project_template % { 'outname': htmlescape(outname), 'title': htmlescape(self.config.html_title), 'version': htmlescape(self.config.version), 'project': htmlescape(self.config.project), 'namespace': htmlescape(nspace), 'masterdoc': htmlescape(self.config.master_doc), 'sections': sections, 'keywords': keywords, 'files': projectfiles}) finally: f.close() homepage = 'qthelp://' + posixpath.join( nspace, 'doc', self.get_target_uri(self.config.master_doc)) startpage = 'qthelp://' + posixpath.join(nspace, 'doc', 'index.html') self.info('writing collection project file...') f = codecs.open(path.join(outdir, outname+'.qhcp'), 'w', 'utf-8') try: f.write(collection_template % { 'outname': htmlescape(outname), 'title': htmlescape(self.config.html_short_title), 'homepage': htmlescape(homepage), 'startpage': htmlescape(startpage)}) finally: f.close() def isdocnode(self, node): if not isinstance(node, nodes.list_item): return False if len(node.children) != 2: return False if not isinstance(node.children[0], addnodes.compact_paragraph): return False if not isinstance(node.children[0][0], nodes.reference): return False if not isinstance(node.children[1], nodes.bullet_list): return False return True def write_toc(self, node, indentlevel=4): # XXX this should return a Unicode string, not a bytestring parts = [] if self.isdocnode(node): refnode = node.children[0][0] link = refnode['refuri'] title = htmlescape(refnode.astext()).replace('"', '&quot;') item = '<section title="%(title)s" ref="%(ref)s">' % \ {'title': title, 'ref': link} parts.append(' '*4*indentlevel + item) for subnode in node.children[1]: parts.extend(self.write_toc(subnode, indentlevel+1)) parts.append(' '*4*indentlevel + '</section>') elif isinstance(node, nodes.list_item): for subnode in node: parts.extend(self.write_toc(subnode, indentlevel)) elif isinstance(node, nodes.reference): link = node['refuri'] title = htmlescape(node.astext()).replace('"','&quot;') item = section_template % {'title': title, 'ref': link} item = u' ' * 4 * indentlevel + item parts.append(item.encode('ascii', 'xmlcharrefreplace')) elif isinstance(node, nodes.bullet_list): for subnode in node: parts.extend(self.write_toc(subnode, indentlevel)) elif isinstance(node, addnodes.compact_paragraph): for subnode in node: parts.extend(self.write_toc(subnode, indentlevel)) return parts def keyword_item(self, name, ref): matchobj = _idpattern.match(name) if matchobj: groupdict = matchobj.groupdict() shortname = groupdict['title'] id = groupdict.get('id') #descr = groupdict.get('descr') if shortname.endswith('()'): shortname = shortname[:-2] id = '%s.%s' % (id, shortname) else: id = None if id: item = ' '*12 + '<keyword name="%s" id="%s" ref="%s"/>' % ( name, id, ref[1]) else: item = ' '*12 + '<keyword name="%s" ref="%s"/>' % (name, ref[1]) item.encode('ascii', 'xmlcharrefreplace') return item def build_keywords(self, title, refs, subitems): keywords = [] title = htmlescape(title) # if len(refs) == 0: # XXX # write_param('See Also', title) if len(refs) == 1: keywords.append(self.keyword_item(title, refs[0])) elif len(refs) > 1: for i, ref in enumerate(refs): # XXX # item = (' '*12 + # '<keyword name="%s [%d]" ref="%s"/>' % ( # title, i, ref)) # item.encode('ascii', 'xmlcharrefreplace') # keywords.append(item) keywords.append(self.keyword_item(title, ref)) if subitems: for subitem in subitems: keywords.extend(self.build_keywords(subitem[0], subitem[1], [])) return keywords

mit

jaingaurav/Diamond

src/diamond/handler/test/teststatsdhandler.py

20

3122

#!/usr/bin/python # coding=utf-8 ########################################################################## from test import unittest from test import run_only from mock import patch import configobj from diamond.handler.stats_d import StatsdHandler from diamond.metric import Metric def run_only_if_statsd_is_available(func): try: import statsd except ImportError: statsd = None pred = lambda: statsd is not None return run_only(func, pred) class TestStatsdHandler(unittest.TestCase): @run_only_if_statsd_is_available @patch('statsd.StatsClient') def test_single_gauge(self, mock_client): config = configobj.ConfigObj() config['host'] = 'localhost' config['port'] = '9999' config['batch'] = 1 metric = Metric('servers.com.example.www.cpu.total.idle', 123, raw_value=123, timestamp=1234567, host='will-be-ignored', metric_type='GAUGE') expected_data = ('servers.com.example.www.cpu.total.idle', 123) handler = StatsdHandler(config) handler.process(metric) handler.connection.gauge.assert_called_with(*expected_data) handler.connection.send.assert_called_with() @run_only_if_statsd_is_available @patch('statsd.StatsClient') def test_single_counter(self, mock_client): config = configobj.ConfigObj() config['host'] = 'localhost' config['port'] = '9999' config['batch'] = 1 metric = Metric('servers.com.example.www.cpu.total.idle', 5, raw_value=123, timestamp=1234567, host='will-be-ignored', metric_type='COUNTER') expected_data = ('servers.com.example.www.cpu.total.idle', 123) handler = StatsdHandler(config) handler.process(metric) handler.connection.incr.assert_called_with(*expected_data) handler.connection.send.assert_called_with() @run_only_if_statsd_is_available @patch('statsd.StatsClient') def test_multiple_counter(self, mock_client): config = configobj.ConfigObj() config['host'] = 'localhost' config['port'] = '9999' config['batch'] = 1 metric1 = Metric('servers.com.example.www.cpu.total.idle', 5, raw_value=123, timestamp=1234567, host='will-be-ignored', metric_type='COUNTER') metric2 = Metric('servers.com.example.www.cpu.total.idle', 7, raw_value=128, timestamp=1234567, host='will-be-ignored', metric_type='COUNTER') expected_data1 = ('servers.com.example.www.cpu.total.idle', 123) expected_data2 = ('servers.com.example.www.cpu.total.idle', 5) handler = StatsdHandler(config) handler.process(metric1) handler.connection.incr.assert_called_with(*expected_data1) handler.connection.send.assert_called_with() handler.process(metric2) handler.connection.incr.assert_called_with(*expected_data2) handler.connection.send.assert_called_with()

mit

ckjoshi9/Auto-Mate-for-Tinder

Django App/tinderapp/src/Pixel.py

2

1491

from __future__ import division from colorsys import * class Pixel: def __init__(self, x, y, red, green, blue): self.x = x self.y = y self.red = red self.green = green self.blue = blue self.region = None @property def region(self): return self.region @region.setter def region(self, value): self.region = value @property def x(self): return self.x @property def y(self): return self.y def in_region(self): if self.region == None: return False else: return True def is_skin(self): r = self.red g = self.green b = self.blue rgbClassifier = ((r > 95) and (g > 40 and g < 100) and (b > 20) and ((max(r, g, b) - min(r, g, b)) > 15) and (abs(r-g) > 15) and (r > g) and (r > b)) normalizedRGBClassifier = False if r != 0 and g != 0 and b != 0: normR = (r/(r + g + b)) normG = (g/(r + g + b)) normB = (b/(r + g + b)) normalizedRGBClassifier = (((normR/normG) > 1.185) and (((r * b)/(pow(r + g + b, 2))) > 0.107) and (((r * g)/(pow(r + g + b,2))) > 0.112)) hsv = rgb_to_hsv(r, g, b) hsvClassifier = (hsv[0] > 0 and hsv[0] < 35 and hsv[1] > 0.23 and hsv[1] < 0.68) return (rgbClassifier or normalizedRGBClassifier or hsvClassifier) def intensity(self): return (self.red + self.green + self.blue)/3

mit

pquentin/libcloud

libcloud/storage/drivers/s3.py

3

42505

# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import base64 import hmac import time from hashlib import sha1 import libcloud.utils.py3 try: if libcloud.utils.py3.DEFAULT_LXML: from lxml.etree import Element, SubElement else: from xml.etree.ElementTree import Element, SubElement except ImportError: from xml.etree.ElementTree import Element, SubElement from libcloud.utils.py3 import httplib from libcloud.utils.py3 import urlquote from libcloud.utils.py3 import b from libcloud.utils.py3 import tostring from libcloud.utils.xml import fixxpath, findtext from libcloud.utils.files import read_in_chunks from libcloud.common.types import InvalidCredsError, LibcloudError from libcloud.common.base import ConnectionUserAndKey, RawResponse from libcloud.common.aws import AWSBaseResponse, AWSDriver, \ AWSTokenConnection, SignedAWSConnection from libcloud.storage.base import Object, Container, StorageDriver from libcloud.storage.types import ContainerError from libcloud.storage.types import ContainerIsNotEmptyError from libcloud.storage.types import InvalidContainerNameError from libcloud.storage.types import ContainerDoesNotExistError from libcloud.storage.types import ObjectDoesNotExistError from libcloud.storage.types import ObjectHashMismatchError # How long before the token expires EXPIRATION_SECONDS = 15 * 60 S3_US_STANDARD_HOST = 's3.amazonaws.com' S3_US_EAST2_HOST = 's3-us-east-2.amazonaws.com' S3_US_WEST_HOST = 's3-us-west-1.amazonaws.com' S3_US_WEST_OREGON_HOST = 's3-us-west-2.amazonaws.com' S3_US_GOV_WEST_HOST = 's3-us-gov-west-1.amazonaws.com' S3_CN_NORTH_HOST = 's3.cn-north-1.amazonaws.com.cn' S3_EU_WEST_HOST = 's3-eu-west-1.amazonaws.com' S3_EU_WEST2_HOST = 's3-eu-west-2.amazonaws.com' S3_EU_CENTRAL_HOST = 's3-eu-central-1.amazonaws.com' S3_AP_SOUTH_HOST = 's3-ap-south-1.amazonaws.com' S3_AP_SOUTHEAST_HOST = 's3-ap-southeast-1.amazonaws.com' S3_AP_SOUTHEAST2_HOST = 's3-ap-southeast-2.amazonaws.com' S3_AP_NORTHEAST1_HOST = 's3-ap-northeast-1.amazonaws.com' S3_AP_NORTHEAST2_HOST = 's3-ap-northeast-2.amazonaws.com' S3_AP_NORTHEAST_HOST = S3_AP_NORTHEAST1_HOST S3_SA_EAST_HOST = 's3-sa-east-1.amazonaws.com' S3_SA_SOUTHEAST2_HOST = 's3-sa-east-2.amazonaws.com' S3_CA_CENTRAL_HOST = 's3-ca-central-1.amazonaws.com' API_VERSION = '2006-03-01' NAMESPACE = 'http://s3.amazonaws.com/doc/%s/' % (API_VERSION) # AWS multi-part chunks must be minimum 5MB CHUNK_SIZE = 5 * 1024 * 1024 # Desired number of items in each response inside a paginated request in # ex_iterate_multipart_uploads. RESPONSES_PER_REQUEST = 100 class S3Response(AWSBaseResponse): namespace = None valid_response_codes = [httplib.NOT_FOUND, httplib.CONFLICT, httplib.BAD_REQUEST] def success(self): i = int(self.status) return i >= 200 and i <= 299 or i in self.valid_response_codes def parse_error(self): if self.status in [httplib.UNAUTHORIZED, httplib.FORBIDDEN]: raise InvalidCredsError(self.body) elif self.status == httplib.MOVED_PERMANENTLY: raise LibcloudError('This bucket is located in a different ' + 'region. Please use the correct driver.', driver=S3StorageDriver) raise LibcloudError('Unknown error. Status code: %d' % (self.status), driver=S3StorageDriver) class S3RawResponse(S3Response, RawResponse): pass class BaseS3Connection(ConnectionUserAndKey): """ Represents a single connection to the S3 Endpoint """ host = 's3.amazonaws.com' responseCls = S3Response rawResponseCls = S3RawResponse @staticmethod def get_auth_signature(method, headers, params, expires, secret_key, path, vendor_prefix): """ Signature = URL-Encode( Base64( HMAC-SHA1( YourSecretAccessKeyID, UTF-8-Encoding-Of( StringToSign ) ) ) ); StringToSign = HTTP-VERB + "\n" + Content-MD5 + "\n" + Content-Type + "\n" + Expires + "\n" + CanonicalizedVendorHeaders + CanonicalizedResource; """ special_headers = {'content-md5': '', 'content-type': '', 'date': ''} vendor_headers = {} for key, value in list(headers.items()): key_lower = key.lower() if key_lower in special_headers: special_headers[key_lower] = value.strip() elif key_lower.startswith(vendor_prefix): vendor_headers[key_lower] = value.strip() if expires: special_headers['date'] = str(expires) buf = [method] for _, value in sorted(special_headers.items()): buf.append(value) string_to_sign = '\n'.join(buf) buf = [] for key, value in sorted(vendor_headers.items()): buf.append('%s:%s' % (key, value)) header_string = '\n'.join(buf) values_to_sign = [] for value in [string_to_sign, header_string, path]: if value: values_to_sign.append(value) string_to_sign = '\n'.join(values_to_sign) b64_hmac = base64.b64encode( hmac.new(b(secret_key), b(string_to_sign), digestmod=sha1).digest() ) return b64_hmac.decode('utf-8') def add_default_params(self, params): expires = str(int(time.time()) + EXPIRATION_SECONDS) params['AWSAccessKeyId'] = self.user_id params['Expires'] = expires return params def pre_connect_hook(self, params, headers): params['Signature'] = self.get_auth_signature( method=self.method, headers=headers, params=params, expires=params['Expires'], secret_key=self.key, path=self.action, vendor_prefix=self.driver.http_vendor_prefix) return params, headers class S3Connection(AWSTokenConnection, BaseS3Connection): """ Represents a single connection to the S3 endpoint, with AWS-specific features. """ pass class S3SignatureV4Connection(SignedAWSConnection, BaseS3Connection): service_name = 's3' version = API_VERSION def __init__(self, user_id, key, secure=True, host=None, port=None, url=None, timeout=None, proxy_url=None, token=None, retry_delay=None, backoff=None): super(S3SignatureV4Connection, self).__init__( user_id, key, secure, host, port, url, timeout, proxy_url, token, retry_delay, backoff, 4) # force version 4 class S3MultipartUpload(object): """ Class representing an amazon s3 multipart upload """ def __init__(self, key, id, created_at, initiator, owner): """ Class representing an amazon s3 multipart upload :param key: The object/key that was being uploaded :type key: ``str`` :param id: The upload id assigned by amazon :type id: ``str`` :param created_at: The date/time at which the upload was started :type created_at: ``str`` :param initiator: The AWS owner/IAM user who initiated this :type initiator: ``str`` :param owner: The AWS owner/IAM who will own this object :type owner: ``str`` """ self.key = key self.id = id self.created_at = created_at self.initiator = initiator self.owner = owner def __repr__(self): return ('<S3MultipartUpload: key=%s>' % (self.key)) class BaseS3StorageDriver(StorageDriver): name = 'Amazon S3 (standard)' website = 'http://aws.amazon.com/s3/' connectionCls = BaseS3Connection hash_type = 'md5' supports_chunked_encoding = False supports_s3_multipart_upload = True ex_location_name = '' namespace = NAMESPACE http_vendor_prefix = 'x-amz' def iterate_containers(self): response = self.connection.request('/') if response.status == httplib.OK: containers = self._to_containers(obj=response.object, xpath='Buckets/Bucket') return containers raise LibcloudError('Unexpected status code: %s' % (response.status), driver=self) def list_container_objects(self, container, ex_prefix=None): """ Return a list of objects for the given container. :param container: Container instance. :type container: :class:`Container` :param ex_prefix: Only return objects starting with ex_prefix :type ex_prefix: ``str`` :return: A list of Object instances. :rtype: ``list`` of :class:`Object` """ return list(self.iterate_container_objects(container, ex_prefix=ex_prefix)) def iterate_container_objects(self, container, ex_prefix=None): """ Return a generator of objects for the given container. :param container: Container instance :type container: :class:`Container` :param ex_prefix: Only return objects starting with ex_prefix :type ex_prefix: ``str`` :return: A generator of Object instances. :rtype: ``generator`` of :class:`Object` """ params = {} if ex_prefix: params['prefix'] = ex_prefix last_key = None exhausted = False container_path = self._get_container_path(container) while not exhausted: if last_key: params['marker'] = last_key response = self.connection.request(container_path, params=params) if response.status != httplib.OK: raise LibcloudError('Unexpected status code: %s' % (response.status), driver=self) objects = self._to_objs(obj=response.object, xpath='Contents', container=container) is_truncated = response.object.findtext(fixxpath( xpath='IsTruncated', namespace=self.namespace)).lower() exhausted = (is_truncated == 'false') last_key = None for obj in objects: last_key = obj.name yield obj def get_container(self, container_name): try: response = self.connection.request('/%s' % container_name, method='HEAD') if response.status == httplib.NOT_FOUND: raise ContainerDoesNotExistError(value=None, driver=self, container_name=container_name) except InvalidCredsError: # This just means the user doesn't have IAM permissions to do a # HEAD request but other requests might work. pass return Container(name=container_name, extra=None, driver=self) def get_object(self, container_name, object_name): container = self.get_container(container_name=container_name) object_path = self._get_object_path(container, object_name) response = self.connection.request(object_path, method='HEAD') if response.status == httplib.OK: obj = self._headers_to_object(object_name=object_name, container=container, headers=response.headers) return obj raise ObjectDoesNotExistError(value=None, driver=self, object_name=object_name) def _get_container_path(self, container): """ Return a container path :param container: Container instance :type container: :class:`Container` :return: A path for this container. :rtype: ``str`` """ return '/%s' % (container.name) def _get_object_path(self, container, object_name): """ Return an object's CDN path. :param container: Container instance :type container: :class:`Container` :param object_name: Object name :type object_name: :class:`str` :return: A path for this object. :rtype: ``str`` """ container_url = self._get_container_path(container) object_name_cleaned = self._clean_object_name(object_name) object_path = '%s/%s' % (container_url, object_name_cleaned) return object_path def create_container(self, container_name): if self.ex_location_name: root = Element('CreateBucketConfiguration') child = SubElement(root, 'LocationConstraint') child.text = self.ex_location_name data = tostring(root) else: data = '' response = self.connection.request('/%s' % (container_name), data=data, method='PUT') if response.status == httplib.OK: container = Container(name=container_name, extra=None, driver=self) return container elif response.status == httplib.CONFLICT: raise InvalidContainerNameError( value='Container with this name already exists. The name must ' 'be unique among all the containers in the system', container_name=container_name, driver=self) elif response.status == httplib.BAD_REQUEST: raise ContainerError( value='Bad request when creating container: %s' % response.body, container_name=container_name, driver=self) raise LibcloudError('Unexpected status code: %s' % (response.status), driver=self) def delete_container(self, container): # Note: All the objects in the container must be deleted first response = self.connection.request('/%s' % (container.name), method='DELETE') if response.status == httplib.NO_CONTENT: return True elif response.status == httplib.CONFLICT: raise ContainerIsNotEmptyError( value='Container must be empty before it can be deleted.', container_name=container.name, driver=self) elif response.status == httplib.NOT_FOUND: raise ContainerDoesNotExistError(value=None, driver=self, container_name=container.name) return False def download_object(self, obj, destination_path, overwrite_existing=False, delete_on_failure=True): obj_path = self._get_object_path(obj.container, obj.name) response = self.connection.request(obj_path, method='GET', raw=True) return self._get_object(obj=obj, callback=self._save_object, response=response, callback_kwargs={ 'obj': obj, 'response': response.response, 'destination_path': destination_path, 'overwrite_existing': overwrite_existing, 'delete_on_failure': delete_on_failure}, success_status_code=httplib.OK) def download_object_as_stream(self, obj, chunk_size=None): obj_path = self._get_object_path(obj.container, obj.name) response = self.connection.request(obj_path, method='GET', stream=True, raw=True) return self._get_object( obj=obj, callback=read_in_chunks, response=response, callback_kwargs={'iterator': response.iter_content(CHUNK_SIZE), 'chunk_size': chunk_size}, success_status_code=httplib.OK) def upload_object(self, file_path, container, object_name, extra=None, verify_hash=True, ex_storage_class=None): """ @inherits: :class:`StorageDriver.upload_object` :param ex_storage_class: Storage class :type ex_storage_class: ``str`` """ return self._put_object(container=container, object_name=object_name, extra=extra, file_path=file_path, verify_hash=verify_hash, storage_class=ex_storage_class) def _initiate_multipart(self, container, object_name, headers=None): """ Initiates a multipart upload to S3 :param container: The destination container :type container: :class:`Container` :param object_name: The name of the object which we are uploading :type object_name: ``str`` :keyword headers: Additional headers to send with the request :type headers: ``dict`` :return: The id of the newly created multipart upload :rtype: ``str`` """ headers = headers or {} request_path = self._get_object_path(container, object_name) params = {'uploads': ''} response = self.connection.request(request_path, method='POST', headers=headers, params=params) if response.status != httplib.OK: raise LibcloudError('Error initiating multipart upload', driver=self) return findtext(element=response.object, xpath='UploadId', namespace=self.namespace) def _upload_multipart_chunks(self, container, object_name, upload_id, stream, calculate_hash=True): """ Uploads data from an iterator in fixed sized chunks to S3 :param container: The destination container :type container: :class:`Container` :param object_name: The name of the object which we are uploading :type object_name: ``str`` :param upload_id: The upload id allocated for this multipart upload :type upload_id: ``str`` :param stream: The generator for fetching the upload data :type stream: ``generator`` :keyword calculate_hash: Indicates if we must calculate the data hash :type calculate_hash: ``bool`` :return: A tuple of (chunk info, checksum, bytes transferred) :rtype: ``tuple`` """ data_hash = None if calculate_hash: data_hash = self._get_hash_function() bytes_transferred = 0 count = 1 chunks = [] params = {'uploadId': upload_id} request_path = self._get_object_path(container, object_name) # Read the input data in chunk sizes suitable for AWS for data in read_in_chunks(stream, chunk_size=CHUNK_SIZE, fill_size=True, yield_empty=True): bytes_transferred += len(data) if calculate_hash: data_hash.update(data) chunk_hash = self._get_hash_function() chunk_hash.update(data) chunk_hash = base64.b64encode(chunk_hash.digest()).decode('utf-8') # The Content-MD5 header provides an extra level of data check and # is recommended by amazon headers = { 'Content-Length': len(data), 'Content-MD5': chunk_hash, } params['partNumber'] = count resp = self.connection.request(request_path, method='PUT', data=data, headers=headers, params=params) if resp.status != httplib.OK: raise LibcloudError('Error uploading chunk', driver=self) server_hash = resp.headers['etag'].replace('"', '') # Keep this data for a later commit chunks.append((count, server_hash)) count += 1 if calculate_hash: data_hash = data_hash.hexdigest() return (chunks, data_hash, bytes_transferred) def _commit_multipart(self, container, object_name, upload_id, chunks): """ Makes a final commit of the data. :param container: The destination container :type container: :class:`Container` :param object_name: The name of the object which we are uploading :type object_name: ``str`` :param upload_id: The upload id allocated for this multipart upload :type upload_id: ``str`` :param chunks: A list of (chunk_number, chunk_hash) tuples. :type chunks: ``list`` :return: The server side hash of the uploaded data :rtype: ``str`` """ root = Element('CompleteMultipartUpload') for (count, etag) in chunks: part = SubElement(root, 'Part') part_no = SubElement(part, 'PartNumber') part_no.text = str(count) etag_id = SubElement(part, 'ETag') etag_id.text = str(etag) data = tostring(root) headers = {'Content-Length': len(data)} params = {'uploadId': upload_id} request_path = self._get_object_path(container, object_name) response = self.connection.request(request_path, headers=headers, params=params, data=data, method='POST') if response.status != httplib.OK: element = response.object # pylint: disable=maybe-no-member code, message = response._parse_error_details(element=element) msg = 'Error in multipart commit: %s (%s)' % (message, code) raise LibcloudError(msg, driver=self) # Get the server's etag to be passed back to the caller body = response.parse_body() server_hash = body.find(fixxpath(xpath='ETag', namespace=self.namespace)).text return server_hash def _abort_multipart(self, container, object_name, upload_id): """ Aborts an already initiated multipart upload :param container: The destination container :type container: :class:`Container` :param object_name: The name of the object which we are uploading :type object_name: ``str`` :param upload_id: The upload id allocated for this multipart upload :type upload_id: ``str`` """ params = {'uploadId': upload_id} request_path = self._get_object_path(container, object_name) resp = self.connection.request(request_path, method='DELETE', params=params) if resp.status != httplib.NO_CONTENT: raise LibcloudError('Error in multipart abort. status_code=%d' % (resp.status), driver=self) def upload_object_via_stream(self, iterator, container, object_name, extra=None, ex_storage_class=None): """ @inherits: :class:`StorageDriver.upload_object_via_stream` :param ex_storage_class: Storage class :type ex_storage_class: ``str`` """ method = 'PUT' params = None # This driver is used by other S3 API compatible drivers also. # Amazon provides a different (complex?) mechanism to do multipart # uploads if self.supports_s3_multipart_upload: return self._put_object_multipart(container=container, object_name=object_name, extra=extra, stream=iterator, verify_hash=False, storage_class=ex_storage_class) return self._put_object(container=container, object_name=object_name, extra=extra, method=method, query_args=params, stream=iterator, verify_hash=False, storage_class=ex_storage_class) def delete_object(self, obj): object_path = self._get_object_path(obj.container, obj.name) response = self.connection.request(object_path, method='DELETE') if response.status == httplib.NO_CONTENT: return True elif response.status == httplib.NOT_FOUND: raise ObjectDoesNotExistError(value=None, driver=self, object_name=obj.name) return False def ex_iterate_multipart_uploads(self, container, prefix=None, delimiter=None): """ Extension method for listing all in-progress S3 multipart uploads. Each multipart upload which has not been committed or aborted is considered in-progress. :param container: The container holding the uploads :type container: :class:`Container` :keyword prefix: Print only uploads of objects with this prefix :type prefix: ``str`` :keyword delimiter: The object/key names are grouped based on being split by this delimiter :type delimiter: ``str`` :return: A generator of S3MultipartUpload instances. :rtype: ``generator`` of :class:`S3MultipartUpload` """ if not self.supports_s3_multipart_upload: raise LibcloudError('Feature not supported', driver=self) # Get the data for a specific container request_path = self._get_container_path(container) params = {'max-uploads': RESPONSES_PER_REQUEST, 'uploads': ''} if prefix: params['prefix'] = prefix if delimiter: params['delimiter'] = delimiter def finder(node, text): return node.findtext(fixxpath(xpath=text, namespace=self.namespace)) while True: response = self.connection.request(request_path, params=params) if response.status != httplib.OK: raise LibcloudError('Error fetching multipart uploads. ' 'Got code: %s' % response.status, driver=self) body = response.parse_body() # pylint: disable=maybe-no-member for node in body.findall(fixxpath(xpath='Upload', namespace=self.namespace)): initiator = node.find(fixxpath(xpath='Initiator', namespace=self.namespace)) owner = node.find(fixxpath(xpath='Owner', namespace=self.namespace)) key = finder(node, 'Key') upload_id = finder(node, 'UploadId') created_at = finder(node, 'Initiated') initiator = finder(initiator, 'DisplayName') owner = finder(owner, 'DisplayName') yield S3MultipartUpload(key, upload_id, created_at, initiator, owner) # Check if this is the last entry in the listing # pylint: disable=maybe-no-member is_truncated = body.findtext(fixxpath(xpath='IsTruncated', namespace=self.namespace)) if is_truncated.lower() == 'false': break # Provide params for the next request upload_marker = body.findtext(fixxpath(xpath='NextUploadIdMarker', namespace=self.namespace)) key_marker = body.findtext(fixxpath(xpath='NextKeyMarker', namespace=self.namespace)) params['key-marker'] = key_marker params['upload-id-marker'] = upload_marker def ex_cleanup_all_multipart_uploads(self, container, prefix=None): """ Extension method for removing all partially completed S3 multipart uploads. :param container: The container holding the uploads :type container: :class:`Container` :keyword prefix: Delete only uploads of objects with this prefix :type prefix: ``str`` """ # Iterate through the container and delete the upload ids for upload in self.ex_iterate_multipart_uploads(container, prefix, delimiter=None): self._abort_multipart(container, upload.key, upload.id) def _clean_object_name(self, name): name = urlquote(name) return name def _put_object(self, container, object_name, method='PUT', query_args=None, extra=None, file_path=None, stream=None, verify_hash=True, storage_class=None): headers = {} extra = extra or {} headers.update(self._to_storage_class_headers(storage_class)) content_type = extra.get('content_type', None) meta_data = extra.get('meta_data', None) acl = extra.get('acl', None) if meta_data: for key, value in list(meta_data.items()): key = self.http_vendor_prefix + '-meta-%s' % (key) headers[key] = value if acl: headers[self.http_vendor_prefix + '-acl'] = acl request_path = self._get_object_path(container, object_name) if query_args: request_path = '?'.join((request_path, query_args)) result_dict = self._upload_object( object_name=object_name, content_type=content_type, request_path=request_path, request_method=method, headers=headers, file_path=file_path, stream=stream) response = result_dict['response'] bytes_transferred = result_dict['bytes_transferred'] headers = response.headers response = response server_hash = headers.get('etag', '').replace('"', '') if (verify_hash and result_dict['data_hash'] != server_hash): raise ObjectHashMismatchError( value='MD5 hash {0} checksum does not match {1}'.format( server_hash, result_dict['data_hash']), object_name=object_name, driver=self) elif response.status == httplib.OK: obj = Object( name=object_name, size=bytes_transferred, hash=server_hash, extra={'acl': acl}, meta_data=meta_data, container=container, driver=self) return obj else: raise LibcloudError( 'Unexpected status code, status_code=%s' % (response.status), driver=self) def _put_object_multipart(self, container, object_name, stream, extra=None, verify_hash=False, storage_class=None): """ Uploads an object using the S3 multipart algorithm. :param container: The destination container :type container: :class:`Container` :param object_name: The name of the object which we are uploading :type object_name: ``str`` :param stream: The generator for fetching the upload data :type stream: ``generator`` :keyword verify_hash: Indicates if we must calculate the data hash :type verify_hash: ``bool`` :keyword extra: Additional options :type extra: ``dict`` :keyword storage_class: The name of the S3 object's storage class :type extra: ``str`` :return: The uploaded object :rtype: :class:`Object` """ headers = {} extra = extra or {} headers.update(self._to_storage_class_headers(storage_class)) content_type = extra.get('content_type', None) meta_data = extra.get('meta_data', None) acl = extra.get('acl', None) if content_type: headers['Content-Type'] = content_type if meta_data: for key, value in list(meta_data.items()): key = self.http_vendor_prefix + '-meta-%s' % (key) headers[key] = value if acl: headers[self.http_vendor_prefix + '-acl'] = acl upload_id = self._initiate_multipart(container, object_name, headers=headers) try: result = self._upload_multipart_chunks(container, object_name, upload_id, stream, calculate_hash=verify_hash) chunks, data_hash, bytes_transferred = result # Commit the chunk info and complete the upload etag = self._commit_multipart(container, object_name, upload_id, chunks) except Exception: # Amazon provides a mechanism for aborting an upload. self._abort_multipart(container, object_name, upload_id) raise return Object( name=object_name, size=bytes_transferred, hash=etag, extra={'acl': acl}, meta_data=meta_data, container=container, driver=self) def _to_storage_class_headers(self, storage_class): """ Generates request headers given a storage class name. :keyword storage_class: The name of the S3 object's storage class :type extra: ``str`` :return: Headers to include in a request :rtype: :dict: """ headers = {} storage_class = storage_class or 'standard' if storage_class not in ['standard', 'reduced_redundancy']: raise ValueError( 'Invalid storage class value: %s' % (storage_class)) key = self.http_vendor_prefix + '-storage-class' headers[key] = storage_class.upper() return headers def _to_containers(self, obj, xpath): for element in obj.findall(fixxpath(xpath=xpath, namespace=self.namespace)): yield self._to_container(element) def _to_objs(self, obj, xpath, container): return [self._to_obj(element, container) for element in obj.findall(fixxpath(xpath=xpath, namespace=self.namespace))] def _to_container(self, element): extra = { 'creation_date': findtext(element=element, xpath='CreationDate', namespace=self.namespace) } container = Container(name=findtext(element=element, xpath='Name', namespace=self.namespace), extra=extra, driver=self ) return container def _headers_to_object(self, object_name, container, headers): hash = headers['etag'].replace('"', '') extra = {'content_type': headers['content-type'], 'etag': headers['etag']} meta_data = {} if 'last-modified' in headers: extra['last_modified'] = headers['last-modified'] for key, value in headers.items(): if not key.lower().startswith(self.http_vendor_prefix + '-meta-'): continue key = key.replace(self.http_vendor_prefix + '-meta-', '') meta_data[key] = value obj = Object(name=object_name, size=headers['content-length'], hash=hash, extra=extra, meta_data=meta_data, container=container, driver=self) return obj def _to_obj(self, element, container): owner_id = findtext(element=element, xpath='Owner/ID', namespace=self.namespace) owner_display_name = findtext(element=element, xpath='Owner/DisplayName', namespace=self.namespace) meta_data = {'owner': {'id': owner_id, 'display_name': owner_display_name}} last_modified = findtext(element=element, xpath='LastModified', namespace=self.namespace) extra = {'last_modified': last_modified} obj = Object(name=findtext(element=element, xpath='Key', namespace=self.namespace), size=int(findtext(element=element, xpath='Size', namespace=self.namespace)), hash=findtext(element=element, xpath='ETag', namespace=self.namespace).replace('"', ''), extra=extra, meta_data=meta_data, container=container, driver=self ) return obj class S3StorageDriver(AWSDriver, BaseS3StorageDriver): name = 'Amazon S3 (us-east-1)' connectionCls = S3SignatureV4Connection region_name = 'us-east-1' class S3USEast2Connection(S3SignatureV4Connection): host = S3_US_EAST2_HOST class S3USEast2StorageDriver(S3StorageDriver): name = 'Amazon S3 (us-east-2)' connectionCls = S3USEast2Connection ex_location_name = 'us-east-2' region_name = 'us-east-2' class S3USWestConnection(S3SignatureV4Connection): host = S3_US_WEST_HOST class S3USWestStorageDriver(S3StorageDriver): name = 'Amazon S3 (us-west-1)' connectionCls = S3USWestConnection ex_location_name = 'us-west-1' region_name = 'us-west-1' class S3USWestOregonConnection(S3SignatureV4Connection): host = S3_US_WEST_OREGON_HOST class S3USWestOregonStorageDriver(S3StorageDriver): name = 'Amazon S3 (us-west-2)' connectionCls = S3USWestOregonConnection ex_location_name = 'us-west-2' region_name = 'us-west-2' class S3USGovWestConnection(S3SignatureV4Connection): host = S3_US_GOV_WEST_HOST class S3USGovWestStorageDriver(S3StorageDriver): name = 'Amazon S3 (us-gov-west-1)' connectionCls = S3USGovWestConnection ex_location_name = 'us-gov-west-1' region_name = 'us-gov-west-1' class S3CNNorthConnection(S3SignatureV4Connection): host = S3_CN_NORTH_HOST class S3CNNorthStorageDriver(S3StorageDriver): name = 'Amazon S3 (cn-north-1)' connectionCls = S3CNNorthConnection ex_location_name = 'cn-north-1' region_name = 'cn-north-1' class S3EUWestConnection(S3SignatureV4Connection): host = S3_EU_WEST_HOST class S3EUWestStorageDriver(S3StorageDriver): name = 'Amazon S3 (eu-west-1)' connectionCls = S3EUWestConnection ex_location_name = 'EU' region_name = 'eu-west-1' class S3EUWest2Connection(S3SignatureV4Connection): host = S3_EU_WEST2_HOST class S3EUWest2StorageDriver(S3StorageDriver): name = 'Amazon S3 (eu-west-2)' connectionCls = S3EUWest2Connection ex_location_name = 'eu-west-2' region_name = 'eu-west-2' class S3EUCentralConnection(S3SignatureV4Connection): host = S3_EU_CENTRAL_HOST class S3EUCentralStorageDriver(S3StorageDriver): name = 'Amazon S3 (eu-central-1)' connectionCls = S3EUCentralConnection ex_location_name = 'eu-central-1' region_name = 'eu-central-1' class S3APSEConnection(S3SignatureV4Connection): host = S3_AP_SOUTHEAST_HOST class S3APSEStorageDriver(S3StorageDriver): name = 'Amazon S3 (ap-southeast-1)' connectionCls = S3APSEConnection ex_location_name = 'ap-southeast-1' region_name = 'ap-southeast-1' class S3APSE2Connection(S3SignatureV4Connection): host = S3_AP_SOUTHEAST2_HOST class S3APSE2StorageDriver(S3StorageDriver): name = 'Amazon S3 (ap-southeast-2)' connectionCls = S3APSE2Connection ex_location_name = 'ap-southeast-2' region_name = 'ap-southeast-2' class S3APNE1Connection(S3SignatureV4Connection): host = S3_AP_NORTHEAST1_HOST S3APNEConnection = S3APNE1Connection class S3APNE1StorageDriver(S3StorageDriver): name = 'Amazon S3 (ap-northeast-1)' connectionCls = S3APNEConnection ex_location_name = 'ap-northeast-1' region_name = 'ap-northeast-1' S3APNEStorageDriver = S3APNE1StorageDriver class S3APNE2Connection(S3SignatureV4Connection): host = S3_AP_NORTHEAST2_HOST class S3APNE2StorageDriver(S3StorageDriver): name = 'Amazon S3 (ap-northeast-2)' connectionCls = S3APNE2Connection ex_location_name = 'ap-northeast-2' region_name = 'ap-northeast-2' class S3APSouthConnection(S3SignatureV4Connection): host = S3_AP_SOUTH_HOST class S3APSouthStorageDriver(S3StorageDriver): name = 'Amazon S3 (ap-south-1)' connectionCls = S3APSouthConnection ex_location_name = 'ap-south-1' region_name = 'ap-south-1' class S3SAEastConnection(S3SignatureV4Connection): host = S3_SA_EAST_HOST class S3SAEastStorageDriver(S3StorageDriver): name = 'Amazon S3 (sa-east-1)' connectionCls = S3SAEastConnection ex_location_name = 'sa-east-1' region_name = 'sa-east-1' class S3CACentralConnection(S3SignatureV4Connection): host = S3_CA_CENTRAL_HOST class S3CACentralStorageDriver(S3StorageDriver): name = 'Amazon S3 (ca-central-1)' connectionCls = S3CACentralConnection ex_location_name = 'ca-central-1' region_name = 'ca-central-1'

apache-2.0

dims/nova

nova/scheduler/filters/trusted_filter.py

14

9323

# Copyright (c) 2012 Intel, Inc. # Copyright (c) 2011-2012 OpenStack Foundation # 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. """ Filter to add support for Trusted Computing Pools (EXPERIMENTAL). Filter that only schedules tasks on a host if the integrity (trust) of that host matches the trust requested in the ``extra_specs`` for the flavor. The ``extra_specs`` will contain a key/value pair where the key is ``trust``. The value of this pair (``trusted``/``untrusted``) must match the integrity of that host (obtained from the Attestation service) before the task can be scheduled on that host. Note that the parameters to control access to the Attestation Service are in the ``nova.conf`` file in a separate ``trust`` section. For example, the config file will look something like: [DEFAULT] verbose=True ... [trust] server=attester.mynetwork.com Details on the specific parameters can be found in the file ``trust_attest.py``. Details on setting up and using an Attestation Service can be found at the Open Attestation project at: https://github.com/OpenAttestation/OpenAttestation """ from oslo_log import log as logging from oslo_serialization import jsonutils from oslo_utils import timeutils import requests import nova.conf from nova import context from nova.i18n import _LW from nova import objects from nova.scheduler import filters LOG = logging.getLogger(__name__) CONF = nova.conf.CONF class AttestationService(object): # Provide access wrapper to attestation server to get integrity report. def __init__(self): self.api_url = CONF.trusted_computing.attestation_api_url self.host = CONF.trusted_computing.attestation_server self.port = CONF.trusted_computing.attestation_port self.auth_blob = CONF.trusted_computing.attestation_auth_blob self.key_file = None self.cert_file = None self.ca_file = CONF.trusted_computing.attestation_server_ca_file self.request_count = 100 # If the CA file is not provided, let's check the cert if verification # asked self.verify = (not CONF.trusted_computing.attestation_insecure_ssl and self.ca_file or True) self.cert = (self.cert_file, self.key_file) def _do_request(self, method, action_url, body, headers): # Connects to the server and issues a request. # :returns: result data # :raises: IOError if the request fails action_url = "https://%s:%s%s/%s" % (self.host, self.port, self.api_url, action_url) try: res = requests.request(method, action_url, data=body, headers=headers, cert=self.cert, verify=self.verify) status_code = res.status_code if status_code in (requests.codes.OK, requests.codes.CREATED, requests.codes.ACCEPTED, requests.codes.NO_CONTENT): try: return requests.codes.OK, jsonutils.loads(res.text) except (TypeError, ValueError): return requests.codes.OK, res.text return status_code, None except requests.exceptions.RequestException: return IOError, None def _request(self, cmd, subcmd, hosts): body = {} body['count'] = len(hosts) body['hosts'] = hosts cooked = jsonutils.dumps(body) headers = {} headers['content-type'] = 'application/json' headers['Accept'] = 'application/json' if self.auth_blob: headers['x-auth-blob'] = self.auth_blob status, res = self._do_request(cmd, subcmd, cooked, headers) return status, res def do_attestation(self, hosts): """Attests compute nodes through OAT service. :param hosts: hosts list to be attested :returns: dictionary for trust level and validate time """ result = None status, data = self._request("POST", "PollHosts", hosts) if data is not None: result = data.get('hosts') return result class ComputeAttestationCache(object): """Cache for compute node attestation Cache compute node's trust level for sometime, if the cache is out of date, poll OAT service to flush the cache. OAT service may have cache also. OAT service's cache valid time should be set shorter than trusted filter's cache valid time. """ def __init__(self): self.attestservice = AttestationService() self.compute_nodes = {} admin = context.get_admin_context() # Fetch compute node list to initialize the compute_nodes, # so that we don't need poll OAT service one by one for each # host in the first round that scheduler invokes us. computes = objects.ComputeNodeList.get_all(admin) for compute in computes: host = compute.hypervisor_hostname self._init_cache_entry(host) def _cache_valid(self, host): cachevalid = False if host in self.compute_nodes: node_stats = self.compute_nodes.get(host) if not timeutils.is_older_than( node_stats['vtime'], CONF.trusted_computing.attestation_auth_timeout): cachevalid = True return cachevalid def _init_cache_entry(self, host): self.compute_nodes[host] = { 'trust_lvl': 'unknown', 'vtime': timeutils.normalize_time( timeutils.parse_isotime("1970-01-01T00:00:00Z"))} def _invalidate_caches(self): for host in self.compute_nodes: self._init_cache_entry(host) def _update_cache_entry(self, state): entry = {} host = state['host_name'] entry['trust_lvl'] = state['trust_lvl'] try: # Normalize as naive object to interoperate with utcnow(). entry['vtime'] = timeutils.normalize_time( timeutils.parse_isotime(state['vtime'])) except ValueError: try: # Mt. Wilson does not necessarily return an ISO8601 formatted # `vtime`, so we should try to parse it as a string formatted # datetime. vtime = timeutils.parse_strtime(state['vtime'], fmt="%c") entry['vtime'] = timeutils.normalize_time(vtime) except ValueError: # Mark the system as un-trusted if get invalid vtime. entry['trust_lvl'] = 'unknown' entry['vtime'] = timeutils.utcnow() self.compute_nodes[host] = entry def _update_cache(self): self._invalidate_caches() states = self.attestservice.do_attestation( list(self.compute_nodes.keys())) if states is None: return for state in states: self._update_cache_entry(state) def get_host_attestation(self, host): """Check host's trust level.""" if host not in self.compute_nodes: self._init_cache_entry(host) if not self._cache_valid(host): self._update_cache() level = self.compute_nodes.get(host).get('trust_lvl') return level class ComputeAttestation(object): def __init__(self): self.caches = ComputeAttestationCache() def is_trusted(self, host, trust): level = self.caches.get_host_attestation(host) return trust == level class TrustedFilter(filters.BaseHostFilter): """Trusted filter to support Trusted Compute Pools.""" def __init__(self): self.compute_attestation = ComputeAttestation() LOG.warning(_LW('The TrustedFilter is considered experimental ' 'by the OpenStack project because it receives much ' 'less testing than the rest of Nova. This may change ' 'in the future, but current deployers should be aware ' 'that the use of it in production right now may be ' 'risky.')) # The hosts the instances are running on doesn't change within a request run_filter_once_per_request = True def host_passes(self, host_state, spec_obj): instance_type = spec_obj.flavor extra = (instance_type.extra_specs if 'extra_specs' in instance_type else {}) trust = extra.get('trust:trusted_host') host = host_state.nodename if trust: return self.compute_attestation.is_trusted(host, trust) return True

apache-2.0

liu602348184/django

django/contrib/postgres/fields/ranges.py

172

5636

import json from psycopg2.extras import DateRange, DateTimeTZRange, NumericRange, Range from django.contrib.postgres import forms, lookups from django.db import models from django.utils import six from .utils import AttributeSetter __all__ = [ 'RangeField', 'IntegerRangeField', 'BigIntegerRangeField', 'FloatRangeField', 'DateTimeRangeField', 'DateRangeField', ] class RangeField(models.Field): empty_strings_allowed = False def get_prep_value(self, value): if value is None: return None elif isinstance(value, Range): return value elif isinstance(value, (list, tuple)): return self.range_type(value[0], value[1]) return value def to_python(self, value): if isinstance(value, six.string_types): # Assume we're deserializing vals = json.loads(value) for end in ('lower', 'upper'): if end in vals: vals[end] = self.base_field.to_python(vals[end]) value = self.range_type(**vals) elif isinstance(value, (list, tuple)): value = self.range_type(value[0], value[1]) return value def set_attributes_from_name(self, name): super(RangeField, self).set_attributes_from_name(name) self.base_field.set_attributes_from_name(name) def value_to_string(self, obj): value = self.value_from_object(obj) if value is None: return None if value.isempty: return json.dumps({"empty": True}) base_field = self.base_field result = {"bounds": value._bounds} for end in ('lower', 'upper'): obj = AttributeSetter(base_field.attname, getattr(value, end)) result[end] = base_field.value_to_string(obj) return json.dumps(result) def formfield(self, **kwargs): kwargs.setdefault('form_class', self.form_field) return super(RangeField, self).formfield(**kwargs) class IntegerRangeField(RangeField): base_field = models.IntegerField() range_type = NumericRange form_field = forms.IntegerRangeField def db_type(self, connection): return 'int4range' class BigIntegerRangeField(RangeField): base_field = models.BigIntegerField() range_type = NumericRange form_field = forms.IntegerRangeField def db_type(self, connection): return 'int8range' class FloatRangeField(RangeField): base_field = models.FloatField() range_type = NumericRange form_field = forms.FloatRangeField def db_type(self, connection): return 'numrange' class DateTimeRangeField(RangeField): base_field = models.DateTimeField() range_type = DateTimeTZRange form_field = forms.DateTimeRangeField def db_type(self, connection): return 'tstzrange' class DateRangeField(RangeField): base_field = models.DateField() range_type = DateRange form_field = forms.DateRangeField def db_type(self, connection): return 'daterange' RangeField.register_lookup(lookups.DataContains) RangeField.register_lookup(lookups.ContainedBy) RangeField.register_lookup(lookups.Overlap) class RangeContainedBy(models.Lookup): lookup_name = 'contained_by' type_mapping = { 'integer': 'int4range', 'bigint': 'int8range', 'double precision': 'numrange', 'date': 'daterange', 'timestamp with time zone': 'tstzrange', } def as_sql(self, qn, connection): field = self.lhs.output_field if isinstance(field, models.FloatField): sql = '%s::numeric <@ %s::{}'.format(self.type_mapping[field.db_type(connection)]) else: sql = '%s <@ %s::{}'.format(self.type_mapping[field.db_type(connection)]) lhs, lhs_params = self.process_lhs(qn, connection) rhs, rhs_params = self.process_rhs(qn, connection) params = lhs_params + rhs_params return sql % (lhs, rhs), params def get_prep_lookup(self): return RangeField().get_prep_lookup(self.lookup_name, self.rhs) models.DateField.register_lookup(RangeContainedBy) models.DateTimeField.register_lookup(RangeContainedBy) models.IntegerField.register_lookup(RangeContainedBy) models.BigIntegerField.register_lookup(RangeContainedBy) models.FloatField.register_lookup(RangeContainedBy) @RangeField.register_lookup class FullyLessThan(lookups.PostgresSimpleLookup): lookup_name = 'fully_lt' operator = '<<' @RangeField.register_lookup class FullGreaterThan(lookups.PostgresSimpleLookup): lookup_name = 'fully_gt' operator = '>>' @RangeField.register_lookup class NotLessThan(lookups.PostgresSimpleLookup): lookup_name = 'not_lt' operator = '&>' @RangeField.register_lookup class NotGreaterThan(lookups.PostgresSimpleLookup): lookup_name = 'not_gt' operator = '&<' @RangeField.register_lookup class AdjacentToLookup(lookups.PostgresSimpleLookup): lookup_name = 'adjacent_to' operator = '-|-' @RangeField.register_lookup class RangeStartsWith(lookups.FunctionTransform): lookup_name = 'startswith' function = 'lower' @property def output_field(self): return self.lhs.output_field.base_field @RangeField.register_lookup class RangeEndsWith(lookups.FunctionTransform): lookup_name = 'endswith' function = 'upper' @property def output_field(self): return self.lhs.output_field.base_field @RangeField.register_lookup class IsEmpty(lookups.FunctionTransform): lookup_name = 'isempty' function = 'isempty' output_field = models.BooleanField()

bsd-3-clause

spencerlyon2/pygments

pygments/lexers/data.py

2

17895

# -*- coding: utf-8 -*- """ pygments.lexers.data ~~~~~~~~~~~~~~~~~~~~ Lexers for data file format. :copyright: Copyright 2006-2014 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ import re from pygments.lexer import RegexLexer, ExtendedRegexLexer, LexerContext, \ include, bygroups from pygments.token import Text, Comment, Keyword, Name, String, Number, \ Punctuation, Literal __all__ = ['YamlLexer', 'JsonLexer'] class YamlLexerContext(LexerContext): """Indentation context for the YAML lexer.""" def __init__(self, *args, **kwds): super(YamlLexerContext, self).__init__(*args, **kwds) self.indent_stack = [] self.indent = -1 self.next_indent = 0 self.block_scalar_indent = None class YamlLexer(ExtendedRegexLexer): """ Lexer for `YAML <http://yaml.org/>`_, a human-friendly data serialization language. .. versionadded:: 0.11 """ name = 'YAML' aliases = ['yaml'] filenames = ['*.yaml', '*.yml'] mimetypes = ['text/x-yaml'] def something(token_class): """Do not produce empty tokens.""" def callback(lexer, match, context): text = match.group() if not text: return yield match.start(), token_class, text context.pos = match.end() return callback def reset_indent(token_class): """Reset the indentation levels.""" def callback(lexer, match, context): text = match.group() context.indent_stack = [] context.indent = -1 context.next_indent = 0 context.block_scalar_indent = None yield match.start(), token_class, text context.pos = match.end() return callback def save_indent(token_class, start=False): """Save a possible indentation level.""" def callback(lexer, match, context): text = match.group() extra = '' if start: context.next_indent = len(text) if context.next_indent < context.indent: while context.next_indent < context.indent: context.indent = context.indent_stack.pop() if context.next_indent > context.indent: extra = text[context.indent:] text = text[:context.indent] else: context.next_indent += len(text) if text: yield match.start(), token_class, text if extra: yield match.start()+len(text), token_class.Error, extra context.pos = match.end() return callback def set_indent(token_class, implicit=False): """Set the previously saved indentation level.""" def callback(lexer, match, context): text = match.group() if context.indent < context.next_indent: context.indent_stack.append(context.indent) context.indent = context.next_indent if not implicit: context.next_indent += len(text) yield match.start(), token_class, text context.pos = match.end() return callback def set_block_scalar_indent(token_class): """Set an explicit indentation level for a block scalar.""" def callback(lexer, match, context): text = match.group() context.block_scalar_indent = None if not text: return increment = match.group(1) if increment: current_indent = max(context.indent, 0) increment = int(increment) context.block_scalar_indent = current_indent + increment if text: yield match.start(), token_class, text context.pos = match.end() return callback def parse_block_scalar_empty_line(indent_token_class, content_token_class): """Process an empty line in a block scalar.""" def callback(lexer, match, context): text = match.group() if (context.block_scalar_indent is None or len(text) <= context.block_scalar_indent): if text: yield match.start(), indent_token_class, text else: indentation = text[:context.block_scalar_indent] content = text[context.block_scalar_indent:] yield match.start(), indent_token_class, indentation yield (match.start()+context.block_scalar_indent, content_token_class, content) context.pos = match.end() return callback def parse_block_scalar_indent(token_class): """Process indentation spaces in a block scalar.""" def callback(lexer, match, context): text = match.group() if context.block_scalar_indent is None: if len(text) <= max(context.indent, 0): context.stack.pop() context.stack.pop() return context.block_scalar_indent = len(text) else: if len(text) < context.block_scalar_indent: context.stack.pop() context.stack.pop() return if text: yield match.start(), token_class, text context.pos = match.end() return callback def parse_plain_scalar_indent(token_class): """Process indentation spaces in a plain scalar.""" def callback(lexer, match, context): text = match.group() if len(text) <= context.indent: context.stack.pop() context.stack.pop() return if text: yield match.start(), token_class, text context.pos = match.end() return callback tokens = { # the root rules 'root': [ # ignored whitespaces (r'[ ]+(?=#|$)', Text), # line breaks (r'\n+', Text), # a comment (r'#[^\n]*', Comment.Single), # the '%YAML' directive (r'^%YAML(?=[ ]|$)', reset_indent(Name.Tag), 'yaml-directive'), # the %TAG directive (r'^%TAG(?=[ ]|$)', reset_indent(Name.Tag), 'tag-directive'), # document start and document end indicators (r'^(?:---|\.\.\.)(?=[ ]|$)', reset_indent(Name.Namespace), 'block-line'), # indentation spaces (r'[ ]*(?![ \t\n\r\f\v]|$)', save_indent(Text, start=True), ('block-line', 'indentation')), ], # trailing whitespaces after directives or a block scalar indicator 'ignored-line': [ # ignored whitespaces (r'[ ]+(?=#|$)', Text), # a comment (r'#[^\n]*', Comment.Single), # line break (r'\n', Text, '#pop:2'), ], # the %YAML directive 'yaml-directive': [ # the version number (r'([ ]+)([0-9]+\.[0-9]+)', bygroups(Text, Number), 'ignored-line'), ], # the %YAG directive 'tag-directive': [ # a tag handle and the corresponding prefix (r'([ ]+)(!|![0-9A-Za-z_-]*!)' r'([ ]+)(!|!?[0-9A-Za-z;/?:@&=+$,_.!~*\'()\[\]%-]+)', bygroups(Text, Keyword.Type, Text, Keyword.Type), 'ignored-line'), ], # block scalar indicators and indentation spaces 'indentation': [ # trailing whitespaces are ignored (r'[ ]*$', something(Text), '#pop:2'), # whitespaces preceeding block collection indicators (r'[ ]+(?=[?:-](?:[ ]|$))', save_indent(Text)), # block collection indicators (r'[?:-](?=[ ]|$)', set_indent(Punctuation.Indicator)), # the beginning a block line (r'[ ]*', save_indent(Text), '#pop'), ], # an indented line in the block context 'block-line': [ # the line end (r'[ ]*(?=#|$)', something(Text), '#pop'), # whitespaces separating tokens (r'[ ]+', Text), # tags, anchors and aliases, include('descriptors'), # block collections and scalars include('block-nodes'), # flow collections and quoted scalars include('flow-nodes'), # a plain scalar (r'(?=[^ \t\n\r\f\v?:,\[\]{}#&*!|>\'"%@`-]|[?:-][^ \t\n\r\f\v])', something(Name.Variable), 'plain-scalar-in-block-context'), ], # tags, anchors, aliases 'descriptors': [ # a full-form tag (r'!<[0-9A-Za-z;/?:@&=+$,_.!~*\'()\[\]%-]+>', Keyword.Type), # a tag in the form '!', '!suffix' or '!handle!suffix' (r'!(?:[0-9A-Za-z_-]+)?' r'(?:![0-9A-Za-z;/?:@&=+$,_.!~*\'()\[\]%-]+)?', Keyword.Type), # an anchor (r'&[0-9A-Za-z_-]+', Name.Label), # an alias (r'\*[0-9A-Za-z_-]+', Name.Variable), ], # block collections and scalars 'block-nodes': [ # implicit key (r':(?=[ ]|$)', set_indent(Punctuation.Indicator, implicit=True)), # literal and folded scalars (r'[|>]', Punctuation.Indicator, ('block-scalar-content', 'block-scalar-header')), ], # flow collections and quoted scalars 'flow-nodes': [ # a flow sequence (r'\[', Punctuation.Indicator, 'flow-sequence'), # a flow mapping (r'\{', Punctuation.Indicator, 'flow-mapping'), # a single-quoted scalar (r'\'', String, 'single-quoted-scalar'), # a double-quoted scalar (r'\"', String, 'double-quoted-scalar'), ], # the content of a flow collection 'flow-collection': [ # whitespaces (r'[ ]+', Text), # line breaks (r'\n+', Text), # a comment (r'#[^\n]*', Comment.Single), # simple indicators (r'[?:,]', Punctuation.Indicator), # tags, anchors and aliases include('descriptors'), # nested collections and quoted scalars include('flow-nodes'), # a plain scalar (r'(?=[^ \t\n\r\f\v?:,\[\]{}#&*!|>\'"%@`])', something(Name.Variable), 'plain-scalar-in-flow-context'), ], # a flow sequence indicated by '[' and ']' 'flow-sequence': [ # include flow collection rules include('flow-collection'), # the closing indicator (r'\]', Punctuation.Indicator, '#pop'), ], # a flow mapping indicated by '{' and '}' 'flow-mapping': [ # include flow collection rules include('flow-collection'), # the closing indicator (r'\}', Punctuation.Indicator, '#pop'), ], # block scalar lines 'block-scalar-content': [ # line break (r'\n', Text), # empty line (r'^[ ]+$', parse_block_scalar_empty_line(Text, Name.Constant)), # indentation spaces (we may leave the state here) (r'^[ ]*', parse_block_scalar_indent(Text)), # line content (r'[^\n\r\f\v]+', Name.Constant), ], # the content of a literal or folded scalar 'block-scalar-header': [ # indentation indicator followed by chomping flag (r'([1-9])?[+-]?(?=[ ]|$)', set_block_scalar_indent(Punctuation.Indicator), 'ignored-line'), # chomping flag followed by indentation indicator (r'[+-]?([1-9])?(?=[ ]|$)', set_block_scalar_indent(Punctuation.Indicator), 'ignored-line'), ], # ignored and regular whitespaces in quoted scalars 'quoted-scalar-whitespaces': [ # leading and trailing whitespaces are ignored (r'^[ ]+', Text), (r'[ ]+$', Text), # line breaks are ignored (r'\n+', Text), # other whitespaces are a part of the value (r'[ ]+', Name.Variable), ], # single-quoted scalars 'single-quoted-scalar': [ # include whitespace and line break rules include('quoted-scalar-whitespaces'), # escaping of the quote character (r'\'\'', String.Escape), # regular non-whitespace characters (r'[^ \t\n\r\f\v\']+', String), # the closing quote (r'\'', String, '#pop'), ], # double-quoted scalars 'double-quoted-scalar': [ # include whitespace and line break rules include('quoted-scalar-whitespaces'), # escaping of special characters (r'\\[0abt\tn\nvfre "\\N_LP]', String), # escape codes (r'\\(?:x[0-9A-Fa-f]{2}|u[0-9A-Fa-f]{4}|U[0-9A-Fa-f]{8})', String.Escape), # regular non-whitespace characters (r'[^ \t\n\r\f\v\"\\]+', String), # the closing quote (r'"', String, '#pop'), ], # the beginning of a new line while scanning a plain scalar 'plain-scalar-in-block-context-new-line': [ # empty lines (r'^[ ]+$', Text), # line breaks (r'\n+', Text), # document start and document end indicators (r'^(?=---|\.\.\.)', something(Name.Namespace), '#pop:3'), # indentation spaces (we may leave the block line state here) (r'^[ ]*', parse_plain_scalar_indent(Text), '#pop'), ], # a plain scalar in the block context 'plain-scalar-in-block-context': [ # the scalar ends with the ':' indicator (r'[ ]*(?=:[ ]|:$)', something(Text), '#pop'), # the scalar ends with whitespaces followed by a comment (r'[ ]+(?=#)', Text, '#pop'), # trailing whitespaces are ignored (r'[ ]+$', Text), # line breaks are ignored (r'\n+', Text, 'plain-scalar-in-block-context-new-line'), # other whitespaces are a part of the value (r'[ ]+', Literal.Scalar.Plain), # regular non-whitespace characters (r'(?::(?![ \t\n\r\f\v])|[^ \t\n\r\f\v:])+', Literal.Scalar.Plain), ], # a plain scalar is the flow context 'plain-scalar-in-flow-context': [ # the scalar ends with an indicator character (r'[ ]*(?=[,:?\[\]{}])', something(Text), '#pop'), # the scalar ends with a comment (r'[ ]+(?=#)', Text, '#pop'), # leading and trailing whitespaces are ignored (r'^[ ]+', Text), (r'[ ]+$', Text), # line breaks are ignored (r'\n+', Text), # other whitespaces are a part of the value (r'[ ]+', Name.Variable), # regular non-whitespace characters (r'[^ \t\n\r\f\v,:?\[\]{}]+', Name.Variable), ], } def get_tokens_unprocessed(self, text=None, context=None): if context is None: context = YamlLexerContext(text, 0) return super(YamlLexer, self).get_tokens_unprocessed(text, context) class JsonLexer(RegexLexer): """ For JSON data structures. .. versionadded:: 1.5 """ name = 'JSON' aliases = ['json'] filenames = ['*.json'] mimetypes = ['application/json'] flags = re.DOTALL # integer part of a number int_part = r'-?(0|[1-9]\d*)' # fractional part of a number frac_part = r'\.\d+' # exponential part of a number exp_part = r'[eE](\+|-)?\d+' tokens = { 'whitespace': [ (r'\s+', Text), ], # represents a simple terminal value 'simplevalue': [ (r'(true|false|null)\b', Keyword.Constant), (('%(int_part)s(%(frac_part)s%(exp_part)s|' '%(exp_part)s|%(frac_part)s)') % vars(), Number.Float), (int_part, Number.Integer), (r'"(\\\\|\\"|[^"])*"', String.Double), ], # the right hand side of an object, after the attribute name 'objectattribute': [ include('value'), (r':', Punctuation), # comma terminates the attribute but expects more (r',', Punctuation, '#pop'), # a closing bracket terminates the entire object, so pop twice (r'}', Punctuation, ('#pop', '#pop')), ], # a json object - { attr, attr, ... } 'objectvalue': [ include('whitespace'), (r'"(\\\\|\\"|[^"])*"', Name.Tag, 'objectattribute'), (r'}', Punctuation, '#pop'), ], # json array - [ value, value, ... } 'arrayvalue': [ include('whitespace'), include('value'), (r',', Punctuation), (r']', Punctuation, '#pop'), ], # a json value - either a simple value or a complex value (object or array) 'value': [ include('whitespace'), include('simplevalue'), (r'{', Punctuation, 'objectvalue'), (r'\[', Punctuation, 'arrayvalue'), ], # the root of a json document whould be a value 'root': [ include('value'), ], }

bsd-2-clause

MQQiang/kbengine

kbe/src/lib/python/Lib/threading.py

61

48900

"""Thread module emulating a subset of Java's threading model.""" import sys as _sys import _thread try: from time import monotonic as _time except ImportError: from time import time as _time from traceback import format_exc as _format_exc from _weakrefset import WeakSet from itertools import islice as _islice try: from _collections import deque as _deque except ImportError: from collections import deque as _deque # Note regarding PEP 8 compliant names # This threading model was originally inspired by Java, and inherited # the convention of camelCase function and method names from that # language. Those original names are not in any imminent danger of # being deprecated (even for Py3k),so this module provides them as an # alias for the PEP 8 compliant names # Note that using the new PEP 8 compliant names facilitates substitution # with the multiprocessing module, which doesn't provide the old # Java inspired names. __all__ = ['active_count', 'Condition', 'current_thread', 'enumerate', 'Event', 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Thread', 'Barrier', 'Timer', 'ThreadError', 'setprofile', 'settrace', 'local', 'stack_size'] # Rename some stuff so "from threading import *" is safe _start_new_thread = _thread.start_new_thread _allocate_lock = _thread.allocate_lock _set_sentinel = _thread._set_sentinel get_ident = _thread.get_ident ThreadError = _thread.error try: _CRLock = _thread.RLock except AttributeError: _CRLock = None TIMEOUT_MAX = _thread.TIMEOUT_MAX del _thread # Support for profile and trace hooks _profile_hook = None _trace_hook = None def setprofile(func): """Set a profile function for all threads started from the threading module. The func will be passed to sys.setprofile() for each thread, before its run() method is called. """ global _profile_hook _profile_hook = func def settrace(func): """Set a trace function for all threads started from the threading module. The func will be passed to sys.settrace() for each thread, before its run() method is called. """ global _trace_hook _trace_hook = func # Synchronization classes Lock = _allocate_lock def RLock(*args, **kwargs): """Factory function that returns a new reentrant lock. A reentrant lock must be released by the thread that acquired it. Once a thread has acquired a reentrant lock, the same thread may acquire it again without blocking; the thread must release it once for each time it has acquired it. """ if _CRLock is None: return _PyRLock(*args, **kwargs) return _CRLock(*args, **kwargs) class _RLock: """This class implements reentrant lock objects. A reentrant lock must be released by the thread that acquired it. Once a thread has acquired a reentrant lock, the same thread may acquire it again without blocking; the thread must release it once for each time it has acquired it. """ def __init__(self): self._block = _allocate_lock() self._owner = None self._count = 0 def __repr__(self): owner = self._owner try: owner = _active[owner].name except KeyError: pass return "<%s owner=%r count=%d>" % ( self.__class__.__name__, owner, self._count) def acquire(self, blocking=True, timeout=-1): """Acquire a lock, blocking or non-blocking. When invoked without arguments: if this thread already owns the lock, increment the recursion level by one, and return immediately. Otherwise, if another thread owns the lock, block until the lock is unlocked. Once the lock is unlocked (not owned by any thread), then grab ownership, set the recursion level to one, and return. If more than one thread is blocked waiting until the lock is unlocked, only one at a time will be able to grab ownership of the lock. There is no return value in this case. When invoked with the blocking argument set to true, do the same thing as when called without arguments, and return true. When invoked with the blocking argument set to false, do not block. If a call without an argument would block, return false immediately; otherwise, do the same thing as when called without arguments, and return true. When invoked with the floating-point timeout argument set to a positive value, block for at most the number of seconds specified by timeout and as long as the lock cannot be acquired. Return true if the lock has been acquired, false if the timeout has elapsed. """ me = get_ident() if self._owner == me: self._count += 1 return 1 rc = self._block.acquire(blocking, timeout) if rc: self._owner = me self._count = 1 return rc __enter__ = acquire def release(self): """Release a lock, decrementing the recursion level. If after the decrement it is zero, reset the lock to unlocked (not owned by any thread), and if any other threads are blocked waiting for the lock to become unlocked, allow exactly one of them to proceed. If after the decrement the recursion level is still nonzero, the lock remains locked and owned by the calling thread. Only call this method when the calling thread owns the lock. A RuntimeError is raised if this method is called when the lock is unlocked. There is no return value. """ if self._owner != get_ident(): raise RuntimeError("cannot release un-acquired lock") self._count = count = self._count - 1 if not count: self._owner = None self._block.release() def __exit__(self, t, v, tb): self.release() # Internal methods used by condition variables def _acquire_restore(self, state): self._block.acquire() self._count, self._owner = state def _release_save(self): if self._count == 0: raise RuntimeError("cannot release un-acquired lock") count = self._count self._count = 0 owner = self._owner self._owner = None self._block.release() return (count, owner) def _is_owned(self): return self._owner == get_ident() _PyRLock = _RLock class Condition: """Class that implements a condition variable. A condition variable allows one or more threads to wait until they are notified by another thread. If the lock argument is given and not None, it must be a Lock or RLock object, and it is used as the underlying lock. Otherwise, a new RLock object is created and used as the underlying lock. """ def __init__(self, lock=None): if lock is None: lock = RLock() self._lock = lock # Export the lock's acquire() and release() methods self.acquire = lock.acquire self.release = lock.release # If the lock defines _release_save() and/or _acquire_restore(), # these override the default implementations (which just call # release() and acquire() on the lock). Ditto for _is_owned(). try: self._release_save = lock._release_save except AttributeError: pass try: self._acquire_restore = lock._acquire_restore except AttributeError: pass try: self._is_owned = lock._is_owned except AttributeError: pass self._waiters = _deque() def __enter__(self): return self._lock.__enter__() def __exit__(self, *args): return self._lock.__exit__(*args) def __repr__(self): return "<Condition(%s, %d)>" % (self._lock, len(self._waiters)) def _release_save(self): self._lock.release() # No state to save def _acquire_restore(self, x): self._lock.acquire() # Ignore saved state def _is_owned(self): # Return True if lock is owned by current_thread. # This method is called only if __lock doesn't have _is_owned(). if self._lock.acquire(0): self._lock.release() return False else: return True def wait(self, timeout=None): """Wait until notified or until a timeout occurs. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. This method releases the underlying lock, and then blocks until it is awakened by a notify() or notify_all() call for the same condition variable in another thread, or until the optional timeout occurs. Once awakened or timed out, it re-acquires the lock and returns. When the timeout argument is present and not None, it should be a floating point number specifying a timeout for the operation in seconds (or fractions thereof). When the underlying lock is an RLock, it is not released using its release() method, since this may not actually unlock the lock when it was acquired multiple times recursively. Instead, an internal interface of the RLock class is used, which really unlocks it even when it has been recursively acquired several times. Another internal interface is then used to restore the recursion level when the lock is reacquired. """ if not self._is_owned(): raise RuntimeError("cannot wait on un-acquired lock") waiter = _allocate_lock() waiter.acquire() self._waiters.append(waiter) saved_state = self._release_save() gotit = False try: # restore state no matter what (e.g., KeyboardInterrupt) if timeout is None: waiter.acquire() gotit = True else: if timeout > 0: gotit = waiter.acquire(True, timeout) else: gotit = waiter.acquire(False) return gotit finally: self._acquire_restore(saved_state) if not gotit: try: self._waiters.remove(waiter) except ValueError: pass def wait_for(self, predicate, timeout=None): """Wait until a condition evaluates to True. predicate should be a callable which result will be interpreted as a boolean value. A timeout may be provided giving the maximum time to wait. """ endtime = None waittime = timeout result = predicate() while not result: if waittime is not None: if endtime is None: endtime = _time() + waittime else: waittime = endtime - _time() if waittime <= 0: break self.wait(waittime) result = predicate() return result def notify(self, n=1): """Wake up one or more threads waiting on this condition, if any. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. This method wakes up at most n of the threads waiting for the condition variable; it is a no-op if no threads are waiting. """ if not self._is_owned(): raise RuntimeError("cannot notify on un-acquired lock") all_waiters = self._waiters waiters_to_notify = _deque(_islice(all_waiters, n)) if not waiters_to_notify: return for waiter in waiters_to_notify: waiter.release() try: all_waiters.remove(waiter) except ValueError: pass def notify_all(self): """Wake up all threads waiting on this condition. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. """ self.notify(len(self._waiters)) notifyAll = notify_all class Semaphore: """This class implements semaphore objects. Semaphores manage a counter representing the number of release() calls minus the number of acquire() calls, plus an initial value. The acquire() method blocks if necessary until it can return without making the counter negative. If not given, value defaults to 1. """ # After Tim Peters' semaphore class, but not quite the same (no maximum) def __init__(self, value=1): if value < 0: raise ValueError("semaphore initial value must be >= 0") self._cond = Condition(Lock()) self._value = value def acquire(self, blocking=True, timeout=None): """Acquire a semaphore, decrementing the internal counter by one. When invoked without arguments: if the internal counter is larger than zero on entry, decrement it by one and return immediately. If it is zero on entry, block, waiting until some other thread has called release() to make it larger than zero. This is done with proper interlocking so that if multiple acquire() calls are blocked, release() will wake exactly one of them up. The implementation may pick one at random, so the order in which blocked threads are awakened should not be relied on. There is no return value in this case. When invoked with blocking set to true, do the same thing as when called without arguments, and return true. When invoked with blocking set to false, do not block. If a call without an argument would block, return false immediately; otherwise, do the same thing as when called without arguments, and return true. When invoked with a timeout other than None, it will block for at most timeout seconds. If acquire does not complete successfully in that interval, return false. Return true otherwise. """ if not blocking and timeout is not None: raise ValueError("can't specify timeout for non-blocking acquire") rc = False endtime = None with self._cond: while self._value == 0: if not blocking: break if timeout is not None: if endtime is None: endtime = _time() + timeout else: timeout = endtime - _time() if timeout <= 0: break self._cond.wait(timeout) else: self._value -= 1 rc = True return rc __enter__ = acquire def release(self): """Release a semaphore, incrementing the internal counter by one. When the counter is zero on entry and another thread is waiting for it to become larger than zero again, wake up that thread. """ with self._cond: self._value += 1 self._cond.notify() def __exit__(self, t, v, tb): self.release() class BoundedSemaphore(Semaphore): """Implements a bounded semaphore. A bounded semaphore checks to make sure its current value doesn't exceed its initial value. If it does, ValueError is raised. In most situations semaphores are used to guard resources with limited capacity. If the semaphore is released too many times it's a sign of a bug. If not given, value defaults to 1. Like regular semaphores, bounded semaphores manage a counter representing the number of release() calls minus the number of acquire() calls, plus an initial value. The acquire() method blocks if necessary until it can return without making the counter negative. If not given, value defaults to 1. """ def __init__(self, value=1): Semaphore.__init__(self, value) self._initial_value = value def release(self): """Release a semaphore, incrementing the internal counter by one. When the counter is zero on entry and another thread is waiting for it to become larger than zero again, wake up that thread. If the number of releases exceeds the number of acquires, raise a ValueError. """ with self._cond: if self._value >= self._initial_value: raise ValueError("Semaphore released too many times") self._value += 1 self._cond.notify() class Event: """Class implementing event objects. Events manage a flag that can be set to true with the set() method and reset to false with the clear() method. The wait() method blocks until the flag is true. The flag is initially false. """ # After Tim Peters' event class (without is_posted()) def __init__(self): self._cond = Condition(Lock()) self._flag = False def _reset_internal_locks(self): # private! called by Thread._reset_internal_locks by _after_fork() self._cond.__init__() def is_set(self): """Return true if and only if the internal flag is true.""" return self._flag isSet = is_set def set(self): """Set the internal flag to true. All threads waiting for it to become true are awakened. Threads that call wait() once the flag is true will not block at all. """ self._cond.acquire() try: self._flag = True self._cond.notify_all() finally: self._cond.release() def clear(self): """Reset the internal flag to false. Subsequently, threads calling wait() will block until set() is called to set the internal flag to true again. """ self._cond.acquire() try: self._flag = False finally: self._cond.release() def wait(self, timeout=None): """Block until the internal flag is true. If the internal flag is true on entry, return immediately. Otherwise, block until another thread calls set() to set the flag to true, or until the optional timeout occurs. When the timeout argument is present and not None, it should be a floating point number specifying a timeout for the operation in seconds (or fractions thereof). This method returns the internal flag on exit, so it will always return True except if a timeout is given and the operation times out. """ self._cond.acquire() try: signaled = self._flag if not signaled: signaled = self._cond.wait(timeout) return signaled finally: self._cond.release() # A barrier class. Inspired in part by the pthread_barrier_* api and # the CyclicBarrier class from Java. See # http://sourceware.org/pthreads-win32/manual/pthread_barrier_init.html and # http://java.sun.com/j2se/1.5.0/docs/api/java/util/concurrent/ # CyclicBarrier.html # for information. # We maintain two main states, 'filling' and 'draining' enabling the barrier # to be cyclic. Threads are not allowed into it until it has fully drained # since the previous cycle. In addition, a 'resetting' state exists which is # similar to 'draining' except that threads leave with a BrokenBarrierError, # and a 'broken' state in which all threads get the exception. class Barrier: """Implements a Barrier. Useful for synchronizing a fixed number of threads at known synchronization points. Threads block on 'wait()' and are simultaneously once they have all made that call. """ def __init__(self, parties, action=None, timeout=None): """Create a barrier, initialised to 'parties' threads. 'action' is a callable which, when supplied, will be called by one of the threads after they have all entered the barrier and just prior to releasing them all. If a 'timeout' is provided, it is uses as the default for all subsequent 'wait()' calls. """ self._cond = Condition(Lock()) self._action = action self._timeout = timeout self._parties = parties self._state = 0 #0 filling, 1, draining, -1 resetting, -2 broken self._count = 0 def wait(self, timeout=None): """Wait for the barrier. When the specified number of threads have started waiting, they are all simultaneously awoken. If an 'action' was provided for the barrier, one of the threads will have executed that callback prior to returning. Returns an individual index number from 0 to 'parties-1'. """ if timeout is None: timeout = self._timeout with self._cond: self._enter() # Block while the barrier drains. index = self._count self._count += 1 try: if index + 1 == self._parties: # We release the barrier self._release() else: # We wait until someone releases us self._wait(timeout) return index finally: self._count -= 1 # Wake up any threads waiting for barrier to drain. self._exit() # Block until the barrier is ready for us, or raise an exception # if it is broken. def _enter(self): while self._state in (-1, 1): # It is draining or resetting, wait until done self._cond.wait() #see if the barrier is in a broken state if self._state < 0: raise BrokenBarrierError assert self._state == 0 # Optionally run the 'action' and release the threads waiting # in the barrier. def _release(self): try: if self._action: self._action() # enter draining state self._state = 1 self._cond.notify_all() except: #an exception during the _action handler. Break and reraise self._break() raise # Wait in the barrier until we are relased. Raise an exception # if the barrier is reset or broken. def _wait(self, timeout): if not self._cond.wait_for(lambda : self._state != 0, timeout): #timed out. Break the barrier self._break() raise BrokenBarrierError if self._state < 0: raise BrokenBarrierError assert self._state == 1 # If we are the last thread to exit the barrier, signal any threads # waiting for the barrier to drain. def _exit(self): if self._count == 0: if self._state in (-1, 1): #resetting or draining self._state = 0 self._cond.notify_all() def reset(self): """Reset the barrier to the initial state. Any threads currently waiting will get the BrokenBarrier exception raised. """ with self._cond: if self._count > 0: if self._state == 0: #reset the barrier, waking up threads self._state = -1 elif self._state == -2: #was broken, set it to reset state #which clears when the last thread exits self._state = -1 else: self._state = 0 self._cond.notify_all() def abort(self): """Place the barrier into a 'broken' state. Useful in case of error. Any currently waiting threads and threads attempting to 'wait()' will have BrokenBarrierError raised. """ with self._cond: self._break() def _break(self): # An internal error was detected. The barrier is set to # a broken state all parties awakened. self._state = -2 self._cond.notify_all() @property def parties(self): """Return the number of threads required to trip the barrier.""" return self._parties @property def n_waiting(self): """Return the number of threads currently waiting at the barrier.""" # We don't need synchronization here since this is an ephemeral result # anyway. It returns the correct value in the steady state. if self._state == 0: return self._count return 0 @property def broken(self): """Return True if the barrier is in a broken state.""" return self._state == -2 # exception raised by the Barrier class class BrokenBarrierError(RuntimeError): pass # Helper to generate new thread names _counter = 0 def _newname(template="Thread-%d"): global _counter _counter += 1 return template % _counter # Active thread administration _active_limbo_lock = _allocate_lock() _active = {} # maps thread id to Thread object _limbo = {} _dangling = WeakSet() # Main class for threads class Thread: """A class that represents a thread of control. This class can be safely subclassed in a limited fashion. There are two ways to specify the activity: by passing a callable object to the constructor, or by overriding the run() method in a subclass. """ __initialized = False # Need to store a reference to sys.exc_info for printing # out exceptions when a thread tries to use a global var. during interp. # shutdown and thus raises an exception about trying to perform some # operation on/with a NoneType __exc_info = _sys.exc_info # Keep sys.exc_clear too to clear the exception just before # allowing .join() to return. #XXX __exc_clear = _sys.exc_clear def __init__(self, group=None, target=None, name=None, args=(), kwargs=None, *, daemon=None): """This constructor should always be called with keyword arguments. Arguments are: *group* should be None; reserved for future extension when a ThreadGroup class is implemented. *target* is the callable object to be invoked by the run() method. Defaults to None, meaning nothing is called. *name* is the thread name. By default, a unique name is constructed of the form "Thread-N" where N is a small decimal number. *args* is the argument tuple for the target invocation. Defaults to (). *kwargs* is a dictionary of keyword arguments for the target invocation. Defaults to {}. If a subclass overrides the constructor, it must make sure to invoke the base class constructor (Thread.__init__()) before doing anything else to the thread. """ assert group is None, "group argument must be None for now" if kwargs is None: kwargs = {} self._target = target self._name = str(name or _newname()) self._args = args self._kwargs = kwargs if daemon is not None: self._daemonic = daemon else: self._daemonic = current_thread().daemon self._ident = None self._tstate_lock = None self._started = Event() self._is_stopped = False self._initialized = True # sys.stderr is not stored in the class like # sys.exc_info since it can be changed between instances self._stderr = _sys.stderr # For debugging and _after_fork() _dangling.add(self) def _reset_internal_locks(self, is_alive): # private! Called by _after_fork() to reset our internal locks as # they may be in an invalid state leading to a deadlock or crash. self._started._reset_internal_locks() if is_alive: self._set_tstate_lock() else: # The thread isn't alive after fork: it doesn't have a tstate # anymore. self._is_stopped = True self._tstate_lock = None def __repr__(self): assert self._initialized, "Thread.__init__() was not called" status = "initial" if self._started.is_set(): status = "started" self.is_alive() # easy way to get ._is_stopped set when appropriate if self._is_stopped: status = "stopped" if self._daemonic: status += " daemon" if self._ident is not None: status += " %s" % self._ident return "<%s(%s, %s)>" % (self.__class__.__name__, self._name, status) def start(self): """Start the thread's activity. It must be called at most once per thread object. It arranges for the object's run() method to be invoked in a separate thread of control. This method will raise a RuntimeError if called more than once on the same thread object. """ if not self._initialized: raise RuntimeError("thread.__init__() not called") if self._started.is_set(): raise RuntimeError("threads can only be started once") with _active_limbo_lock: _limbo[self] = self try: _start_new_thread(self._bootstrap, ()) except Exception: with _active_limbo_lock: del _limbo[self] raise self._started.wait() def run(self): """Method representing the thread's activity. You may override this method in a subclass. The standard run() method invokes the callable object passed to the object's constructor as the target argument, if any, with sequential and keyword arguments taken from the args and kwargs arguments, respectively. """ try: if self._target: self._target(*self._args, **self._kwargs) finally: # Avoid a refcycle if the thread is running a function with # an argument that has a member that points to the thread. del self._target, self._args, self._kwargs def _bootstrap(self): # Wrapper around the real bootstrap code that ignores # exceptions during interpreter cleanup. Those typically # happen when a daemon thread wakes up at an unfortunate # moment, finds the world around it destroyed, and raises some # random exception *** while trying to report the exception in # _bootstrap_inner() below ***. Those random exceptions # don't help anybody, and they confuse users, so we suppress # them. We suppress them only when it appears that the world # indeed has already been destroyed, so that exceptions in # _bootstrap_inner() during normal business hours are properly # reported. Also, we only suppress them for daemonic threads; # if a non-daemonic encounters this, something else is wrong. try: self._bootstrap_inner() except: if self._daemonic and _sys is None: return raise def _set_ident(self): self._ident = get_ident() def _set_tstate_lock(self): """ Set a lock object which will be released by the interpreter when the underlying thread state (see pystate.h) gets deleted. """ self._tstate_lock = _set_sentinel() self._tstate_lock.acquire() def _bootstrap_inner(self): try: self._set_ident() self._set_tstate_lock() self._started.set() with _active_limbo_lock: _active[self._ident] = self del _limbo[self] if _trace_hook: _sys.settrace(_trace_hook) if _profile_hook: _sys.setprofile(_profile_hook) try: self.run() except SystemExit: pass except: # If sys.stderr is no more (most likely from interpreter # shutdown) use self._stderr. Otherwise still use sys (as in # _sys) in case sys.stderr was redefined since the creation of # self. if _sys: _sys.stderr.write("Exception in thread %s:\n%s\n" % (self.name, _format_exc())) else: # Do the best job possible w/o a huge amt. of code to # approximate a traceback (code ideas from # Lib/traceback.py) exc_type, exc_value, exc_tb = self._exc_info() try: print(( "Exception in thread " + self.name + " (most likely raised during interpreter shutdown):"), file=self._stderr) print(( "Traceback (most recent call last):"), file=self._stderr) while exc_tb: print(( ' File "%s", line %s, in %s' % (exc_tb.tb_frame.f_code.co_filename, exc_tb.tb_lineno, exc_tb.tb_frame.f_code.co_name)), file=self._stderr) exc_tb = exc_tb.tb_next print(("%s: %s" % (exc_type, exc_value)), file=self._stderr) # Make sure that exc_tb gets deleted since it is a memory # hog; deleting everything else is just for thoroughness finally: del exc_type, exc_value, exc_tb finally: # Prevent a race in # test_threading.test_no_refcycle_through_target when # the exception keeps the target alive past when we # assert that it's dead. #XXX self.__exc_clear() pass finally: with _active_limbo_lock: try: # We don't call self._delete() because it also # grabs _active_limbo_lock. del _active[get_ident()] except: pass def _stop(self): # After calling ._stop(), .is_alive() returns False and .join() returns # immediately. ._tstate_lock must be released before calling ._stop(). # # Normal case: C code at the end of the thread's life # (release_sentinel in _threadmodule.c) releases ._tstate_lock, and # that's detected by our ._wait_for_tstate_lock(), called by .join() # and .is_alive(). Any number of threads _may_ call ._stop() # simultaneously (for example, if multiple threads are blocked in # .join() calls), and they're not serialized. That's harmless - # they'll just make redundant rebindings of ._is_stopped and # ._tstate_lock. Obscure: we rebind ._tstate_lock last so that the # "assert self._is_stopped" in ._wait_for_tstate_lock() always works # (the assert is executed only if ._tstate_lock is None). # # Special case: _main_thread releases ._tstate_lock via this # module's _shutdown() function. lock = self._tstate_lock if lock is not None: assert not lock.locked() self._is_stopped = True self._tstate_lock = None def _delete(self): "Remove current thread from the dict of currently running threads." # Notes about running with _dummy_thread: # # Must take care to not raise an exception if _dummy_thread is being # used (and thus this module is being used as an instance of # dummy_threading). _dummy_thread.get_ident() always returns -1 since # there is only one thread if _dummy_thread is being used. Thus # len(_active) is always <= 1 here, and any Thread instance created # overwrites the (if any) thread currently registered in _active. # # An instance of _MainThread is always created by 'threading'. This # gets overwritten the instant an instance of Thread is created; both # threads return -1 from _dummy_thread.get_ident() and thus have the # same key in the dict. So when the _MainThread instance created by # 'threading' tries to clean itself up when atexit calls this method # it gets a KeyError if another Thread instance was created. # # This all means that KeyError from trying to delete something from # _active if dummy_threading is being used is a red herring. But # since it isn't if dummy_threading is *not* being used then don't # hide the exception. try: with _active_limbo_lock: del _active[get_ident()] # There must not be any python code between the previous line # and after the lock is released. Otherwise a tracing function # could try to acquire the lock again in the same thread, (in # current_thread()), and would block. except KeyError: if 'dummy_threading' not in _sys.modules: raise def join(self, timeout=None): """Wait until the thread terminates. This blocks the calling thread until the thread whose join() method is called terminates -- either normally or through an unhandled exception or until the optional timeout occurs. When the timeout argument is present and not None, it should be a floating point number specifying a timeout for the operation in seconds (or fractions thereof). As join() always returns None, you must call isAlive() after join() to decide whether a timeout happened -- if the thread is still alive, the join() call timed out. When the timeout argument is not present or None, the operation will block until the thread terminates. A thread can be join()ed many times. join() raises a RuntimeError if an attempt is made to join the current thread as that would cause a deadlock. It is also an error to join() a thread before it has been started and attempts to do so raises the same exception. """ if not self._initialized: raise RuntimeError("Thread.__init__() not called") if not self._started.is_set(): raise RuntimeError("cannot join thread before it is started") if self is current_thread(): raise RuntimeError("cannot join current thread") if timeout is None: self._wait_for_tstate_lock() else: # the behavior of a negative timeout isn't documented, but # historically .join(timeout=x) for x<0 has acted as if timeout=0 self._wait_for_tstate_lock(timeout=max(timeout, 0)) def _wait_for_tstate_lock(self, block=True, timeout=-1): # Issue #18808: wait for the thread state to be gone. # At the end of the thread's life, after all knowledge of the thread # is removed from C data structures, C code releases our _tstate_lock. # This method passes its arguments to _tstate_lock.aquire(). # If the lock is acquired, the C code is done, and self._stop() is # called. That sets ._is_stopped to True, and ._tstate_lock to None. lock = self._tstate_lock if lock is None: # already determined that the C code is done assert self._is_stopped elif lock.acquire(block, timeout): lock.release() self._stop() @property def name(self): """A string used for identification purposes only. It has no semantics. Multiple threads may be given the same name. The initial name is set by the constructor. """ assert self._initialized, "Thread.__init__() not called" return self._name @name.setter def name(self, name): assert self._initialized, "Thread.__init__() not called" self._name = str(name) @property def ident(self): """Thread identifier of this thread or None if it has not been started. This is a nonzero integer. See the thread.get_ident() function. Thread identifiers may be recycled when a thread exits and another thread is created. The identifier is available even after the thread has exited. """ assert self._initialized, "Thread.__init__() not called" return self._ident def is_alive(self): """Return whether the thread is alive. This method returns True just before the run() method starts until just after the run() method terminates. The module function enumerate() returns a list of all alive threads. """ assert self._initialized, "Thread.__init__() not called" if self._is_stopped or not self._started.is_set(): return False self._wait_for_tstate_lock(False) return not self._is_stopped isAlive = is_alive @property def daemon(self): """A boolean value indicating whether this thread is a daemon thread. This must be set before start() is called, otherwise RuntimeError is raised. Its initial value is inherited from the creating thread; the main thread is not a daemon thread and therefore all threads created in the main thread default to daemon = False. The entire Python program exits when no alive non-daemon threads are left. """ assert self._initialized, "Thread.__init__() not called" return self._daemonic @daemon.setter def daemon(self, daemonic): if not self._initialized: raise RuntimeError("Thread.__init__() not called") if self._started.is_set(): raise RuntimeError("cannot set daemon status of active thread") self._daemonic = daemonic def isDaemon(self): return self.daemon def setDaemon(self, daemonic): self.daemon = daemonic def getName(self): return self.name def setName(self, name): self.name = name # The timer class was contributed by Itamar Shtull-Trauring class Timer(Thread): """Call a function after a specified number of seconds: t = Timer(30.0, f, args=None, kwargs=None) t.start() t.cancel() # stop the timer's action if it's still waiting """ def __init__(self, interval, function, args=None, kwargs=None): Thread.__init__(self) self.interval = interval self.function = function self.args = args if args is not None else [] self.kwargs = kwargs if kwargs is not None else {} self.finished = Event() def cancel(self): """Stop the timer if it hasn't finished yet.""" self.finished.set() def run(self): self.finished.wait(self.interval) if not self.finished.is_set(): self.function(*self.args, **self.kwargs) self.finished.set() # Special thread class to represent the main thread # This is garbage collected through an exit handler class _MainThread(Thread): def __init__(self): Thread.__init__(self, name="MainThread", daemon=False) self._set_tstate_lock() self._started.set() self._set_ident() with _active_limbo_lock: _active[self._ident] = self # Dummy thread class to represent threads not started here. # These aren't garbage collected when they die, nor can they be waited for. # If they invoke anything in threading.py that calls current_thread(), they # leave an entry in the _active dict forever after. # Their purpose is to return *something* from current_thread(). # They are marked as daemon threads so we won't wait for them # when we exit (conform previous semantics). class _DummyThread(Thread): def __init__(self): Thread.__init__(self, name=_newname("Dummy-%d"), daemon=True) self._started.set() self._set_ident() with _active_limbo_lock: _active[self._ident] = self def _stop(self): pass def join(self, timeout=None): assert False, "cannot join a dummy thread" # Global API functions def current_thread(): """Return the current Thread object, corresponding to the caller's thread of control. If the caller's thread of control was not created through the threading module, a dummy thread object with limited functionality is returned. """ try: return _active[get_ident()] except KeyError: return _DummyThread() currentThread = current_thread def active_count(): """Return the number of Thread objects currently alive. The returned count is equal to the length of the list returned by enumerate(). """ with _active_limbo_lock: return len(_active) + len(_limbo) activeCount = active_count def _enumerate(): # Same as enumerate(), but without the lock. Internal use only. return list(_active.values()) + list(_limbo.values()) def enumerate(): """Return a list of all Thread objects currently alive. The list includes daemonic threads, dummy thread objects created by current_thread(), and the main thread. It excludes terminated threads and threads that have not yet been started. """ with _active_limbo_lock: return list(_active.values()) + list(_limbo.values()) from _thread import stack_size # Create the main thread object, # and make it available for the interpreter # (Py_Main) as threading._shutdown. _main_thread = _MainThread() def _shutdown(): # Obscure: other threads may be waiting to join _main_thread. That's # dubious, but some code does it. We can't wait for C code to release # the main thread's tstate_lock - that won't happen until the interpreter # is nearly dead. So we release it here. Note that just calling _stop() # isn't enough: other threads may already be waiting on _tstate_lock. tlock = _main_thread._tstate_lock # The main thread isn't finished yet, so its thread state lock can't have # been released. assert tlock is not None assert tlock.locked() tlock.release() _main_thread._stop() t = _pickSomeNonDaemonThread() while t: t.join() t = _pickSomeNonDaemonThread() _main_thread._delete() def _pickSomeNonDaemonThread(): for t in enumerate(): if not t.daemon and t.is_alive(): return t return None def main_thread(): """Return the main thread object. In normal conditions, the main thread is the thread from which the Python interpreter was started. """ return _main_thread # get thread-local implementation, either from the thread # module, or from the python fallback try: from _thread import _local as local except ImportError: from _threading_local import local def _after_fork(): # This function is called by Python/ceval.c:PyEval_ReInitThreads which # is called from PyOS_AfterFork. Here we cleanup threading module state # that should not exist after a fork. # Reset _active_limbo_lock, in case we forked while the lock was held # by another (non-forked) thread. http://bugs.python.org/issue874900 global _active_limbo_lock, _main_thread _active_limbo_lock = _allocate_lock() # fork() only copied the current thread; clear references to others. new_active = {} current = current_thread() _main_thread = current with _active_limbo_lock: # Dangling thread instances must still have their locks reset, # because someone may join() them. threads = set(_enumerate()) threads.update(_dangling) for thread in threads: # Any lock/condition variable may be currently locked or in an # invalid state, so we reinitialize them. if thread is current: # There is only one active thread. We reset the ident to # its new value since it can have changed. thread._reset_internal_locks(True) ident = get_ident() thread._ident = ident new_active[ident] = thread else: # All the others are already stopped. thread._reset_internal_locks(False) thread._stop() _limbo.clear() _active.clear() _active.update(new_active) assert len(_active) == 1

lgpl-3.0

zzragida/PythonExamples

MemberShip/deploy/qa-taiwan/web/db/__init__.py

4

1563

# -*- coding:utf-8 -*- from SQLRelay import PySQLRClient from SQLRelay import PySQLRDB from config import SQLRELAYS INSTANCES = [] for sqlrelay in SQLRELAYS: INSTANCES.append([0, sqlrelay]) def sqlrelay_cursor(): ''' Connect sqlrelay rdb ''' info = sorted(INSTANCES, key=lambda x: x[0])[0] try: con = PySQLRDB.connect( info[1]['host'], info[1]['port'], '', info[1]['user'], info[1]['pass'], 0, 1) cur = con.cursor() except PySQLRDB.DatabaseError, e: raise info[0] += 1 return con, cur def sqlrelay_close(cur, con): ''' Close sqlrelay rdb ''' if cur: cur.close() del cur if con: con.close() del con import gc; gc.collect() def sqlrelay_client_cursor(debug=False): ''' Connect sqlrelay client ''' info = sorted(INSTANCES, key=lambda x: x[0])[0] try: con = PySQLRClient.sqlrconnection( info[1]['host'], info[1]['port'], '', info[1]['user'], info[1]['pass'], 0, 1) cur = PySQLRClient.sqlrcursor(con) if debug: con.debugOn() except Exception, e: raise info[0] += 1 return con, cur def sqlrelay_client_close(cur, con): ''' Close sqlrelay client ''' if cur: del cur if con: con.debugOff() con.endSession() del con import gc; gc.collect()

mit

algorythmic/bash-completion

test/t/unit/test_unit_count_args.py

2

2035

import pytest from conftest import TestUnitBase, assert_bash_exec @pytest.mark.bashcomp( cmd=None, ignore_env=r"^[+-](args|COMP_(WORDS|CWORD|LINE|POINT))=" ) class TestUnitCountArgs(TestUnitBase): def _test(self, *args, **kwargs): return self._test_unit("_count_args %s; echo $args", *args, **kwargs) def test_1(self, bash): assert_bash_exec(bash, "COMP_CWORD= _count_args >/dev/null") def test_2(self, bash): """a b| should set args to 1""" output = self._test(bash, "(a b)", 1, "a b", 3) assert output == "1" def test_3(self, bash): """a b|c should set args to 1""" output = self._test(bash, "(a bc)", 1, "a bc", 3) assert output == "1" def test_4(self, bash): """a b c| should set args to 2""" output = self._test(bash, "(a b c)", 2, "a b c", 4) assert output == "2" def test_5(self, bash): """a b| c should set args to 1""" output = self._test(bash, "(a b c)", 1, "a b c", 3) assert output == "1" def test_6(self, bash): """a b -c| d should set args to 2""" output = self._test(bash, "(a b -c d)", 2, "a b -c d", 6) assert output == "2" def test_7(self, bash): """a b -c d e| with -c arg excluded should set args to 2""" output = self._test( bash, "(a b -c d e)", 4, "a b -c d e", 10, arg='"" "@(-c|--foo)"' ) assert output == "2" def test_8(self, bash): """a -b -c d e| with -c arg excluded and -b included should set args to 1""" output = self._test( bash, "(a -b -c d e)", 4, "a -b -c d e", 11, arg='"" "@(-c|--foo)" "-[b]"', ) assert output == "2" def test_9(self, bash): """a -b -c d e| with -b included should set args to 3""" output = self._test( bash, "(a -b -c d e)", 4, "a -b -c d e", 11, arg='"" "" "-b"' ) assert output == "3"

gpl-2.0

gioman/QGIS

python/plugins/processing/gui/MultipleInputDialog.py

2

4243

# -*- coding: utf-8 -*- """ *************************************************************************** MultipleInputDialog.py --------------------- Date : August 2012 Copyright : (C) 2012 by Victor Olaya Email : volayaf at gmail dot com *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * *************************************************************************** """ from builtins import range from builtins import basestring __author__ = 'Victor Olaya' __date__ = 'August 2012' __copyright__ = '(C) 2012, Victor Olaya' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import os from qgis.PyQt import uic from qgis.PyQt.QtCore import Qt from qgis.PyQt.QtWidgets import QDialog, QAbstractItemView, QPushButton, QDialogButtonBox from qgis.PyQt.QtGui import QStandardItemModel, QStandardItem pluginPath = os.path.split(os.path.dirname(__file__))[0] WIDGET, BASE = uic.loadUiType( os.path.join(pluginPath, 'ui', 'DlgMultipleSelection.ui')) class MultipleInputDialog(BASE, WIDGET): def __init__(self, options, selectedoptions=None): super(MultipleInputDialog, self).__init__(None) self.setupUi(self) self.lstLayers.setSelectionMode(QAbstractItemView.NoSelection) self.options = [] for i, option in enumerate(options): if option is None or isinstance(option, basestring): self.options.append((i, option)) else: self.options.append((option[0], option[1])) self.selectedoptions = selectedoptions or [] # Additional buttons self.btnSelectAll = QPushButton(self.tr('Select all')) self.buttonBox.addButton(self.btnSelectAll, QDialogButtonBox.ActionRole) self.btnClearSelection = QPushButton(self.tr('Clear selection')) self.buttonBox.addButton(self.btnClearSelection, QDialogButtonBox.ActionRole) self.btnToggleSelection = QPushButton(self.tr('Toggle selection')) self.buttonBox.addButton(self.btnToggleSelection, QDialogButtonBox.ActionRole) self.btnSelectAll.clicked.connect(lambda: self.selectAll(True)) self.btnClearSelection.clicked.connect(lambda: self.selectAll(False)) self.btnToggleSelection.clicked.connect(self.toggleSelection) self.populateList() def populateList(self): model = QStandardItemModel() for value, text in self.options: item = QStandardItem(text) item.setData(value, Qt.UserRole) item.setCheckState(Qt.Checked if value in self.selectedoptions else Qt.Unchecked) item.setCheckable(True) model.appendRow(item) self.lstLayers.setModel(model) def accept(self): self.selectedoptions = [] model = self.lstLayers.model() for i in range(model.rowCount()): item = model.item(i) if item.checkState() == Qt.Checked: self.selectedoptions.append(item.data(Qt.UserRole)) QDialog.accept(self) def reject(self): self.selectedoptions = None QDialog.reject(self) def selectAll(self, value): model = self.lstLayers.model() for i in range(model.rowCount()): item = model.item(i) item.setCheckState(Qt.Checked if value else Qt.Unchecked) def toggleSelection(self): model = self.lstLayers.model() for i in range(model.rowCount()): item = model.item(i) checked = item.checkState() == Qt.Checked item.setCheckState(Qt.Unchecked if checked else Qt.Checked)

gpl-2.0

en0/Supybot_sasl

plugins/String/config.py

8

2799

### # Copyright (c) 2003-2005, Jeremiah Fincher # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this list of conditions, and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions, and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the author of this software nor the name of # contributors to this software may be used to endorse or promote products # derived from this software without specific prior written consent. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. ### import supybot.conf as conf import supybot.registry as registry def configure(advanced): # This will be called by supybot to configure this module. advanced is # a bool that specifies whether the user identified himself as an advanced # user or not. You should effect your configuration by manipulating the # registry as appropriate. from supybot.questions import expect, anything, something, yn conf.registerPlugin('String', True) String = conf.registerPlugin('String') conf.registerGroup(String, 'levenshtein') conf.registerGlobalValue(String.levenshtein, 'max', registry.PositiveInteger(256, """Determines the maximum size of a string given to the levenshtein command. The levenshtein command uses an O(m*n) algorithm, which means that with strings of length 256, it can take 1.5 seconds to finish; with strings of length 384, though, it can take 4 seconds to finish, and with strings of much larger lengths, it takes more and more time. Using nested commands, strings can get quite large, hence this variable, to limit the size of arguments passed to the levenshtein command.""")) # vim:set shiftwidth=4 softtabstop=4 expandtab textwidth=79:

bsd-3-clause

Xeralux/tensorflow

tensorflow/python/keras/_impl/keras/engine/training.py

1

72917

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Training-related part of the Keras engine. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from tensorflow.python.eager import context from tensorflow.python.framework import ops from tensorflow.python.framework import tensor_util from tensorflow.python.keras._impl.keras import backend as K from tensorflow.python.keras._impl.keras import losses from tensorflow.python.keras._impl.keras import metrics as metrics_module from tensorflow.python.keras._impl.keras import optimizers from tensorflow.python.keras._impl.keras.engine import training_arrays from tensorflow.python.keras._impl.keras.engine import training_eager from tensorflow.python.keras._impl.keras.engine import training_generator from tensorflow.python.keras._impl.keras.engine import training_utils from tensorflow.python.keras._impl.keras.engine.base_layer import Layer from tensorflow.python.keras._impl.keras.engine.network import Network from tensorflow.python.keras._impl.keras.utils.generic_utils import slice_arrays from tensorflow.python.layers.base import _DeferredTensor from tensorflow.python.ops import array_ops from tensorflow.python.platform import tf_logging as logging from tensorflow.python.training import optimizer as tf_optimizer_module from tensorflow.python.util.tf_export import tf_export @tf_export('keras.models.Model', 'keras.Model') class Model(Network): """`Model` groups layers into an object with training and inference features. There are two ways to instantiate a `Model`: 1 - With the "functional API", where you start from `Input`, you chain layer calls to specify the model's forward pass, and finally you create your model from inputs and outputs: ```python import tensorflow as tf inputs = tf.keras.Input(shape=(3,)) x = tf.keras.layers.Dense(4, activation=tf.nn.relu)(inputs) outputs = tf.keras.layers.Dense(5, activation=tf.nn.softmax)(x) model = tf.keras.Model(inputs=inputs, outputs=outputs) ``` 2 - By subclassing the `Model` class: in that case, you should define your layers in `__init__` and you should implement the model's forward pass in `call`. ```python import tensorflow as tf class MyModel(tf.keras.Model): def __init__(self): self.dense1 = tf.keras.layers.Dense(4, activation=tf.nn.relu) self.dense2 = tf.keras.layers.Dense(5, activation=tf.nn.softmax) def call(self, inputs): x = self.dense1(inputs) return self.dense2(x) model = MyModel() ``` If you subclass `Model`, you can optionally have a `training` argument (boolean) in `call`, which you can use to specify a different behavior in training and inference: ```python import tensorflow as tf class MyModel(tf.keras.Model): def __init__(self): self.dense1 = tf.keras.layers.Dense(4, activation=tf.nn.relu) self.dense2 = tf.keras.layers.Dense(5, activation=tf.nn.softmax) self.dropout = tf.keras.layers.Dropout(0.5) def call(self, inputs, training=False): x = self.dense1(inputs) if training: x = self.dropout(x, training=training) return self.dense2(x) model = MyModel() ``` """ def compile(self, optimizer, loss=None, metrics=None, loss_weights=None, sample_weight_mode=None, weighted_metrics=None, target_tensors=None, **kwargs): """Configures the model for training. Arguments: optimizer: String (name of optimizer) or optimizer instance. See [optimizers](/optimizers). loss: String (name of objective function) or objective function. See [losses](/losses). If the model has multiple outputs, you can use a different loss on each output by passing a dictionary or a list of losses. The loss value that will be minimized by the model will then be the sum of all individual losses. metrics: List of metrics to be evaluated by the model during training and testing. Typically you will use `metrics=['accuracy']`. To specify different metrics for different outputs of a multi-output model, you could also pass a dictionary, such as `metrics={'output_a': 'accuracy'}`. loss_weights: Optional list or dictionary specifying scalar coefficients (Python floats) to weight the loss contributions of different model outputs. The loss value that will be minimized by the model will then be the *weighted sum* of all individual losses, weighted by the `loss_weights` coefficients. If a list, it is expected to have a 1:1 mapping to the model's outputs. If a tensor, it is expected to map output names (strings) to scalar coefficients. sample_weight_mode: If you need to do timestep-wise sample weighting (2D weights), set this to `"temporal"`. `None` defaults to sample-wise weights (1D). If the model has multiple outputs, you can use a different `sample_weight_mode` on each output by passing a dictionary or a list of modes. weighted_metrics: List of metrics to be evaluated and weighted by sample_weight or class_weight during training and testing. target_tensors: By default, Keras will create placeholders for the model's target, which will be fed with the target data during training. If instead you would like to use your own target tensors (in turn, Keras will not expect external Numpy data for these targets at training time), you can specify them via the `target_tensors` argument. It can be a single tensor (for a single-output model), a list of tensors, or a dict mapping output names to target tensors. **kwargs: These arguments are passed to `tf.Session.run`. Raises: ValueError: In case of invalid arguments for `optimizer`, `loss`, `metrics` or `sample_weight_mode`. """ loss = loss or {} if context.executing_eagerly() and not isinstance( optimizer, (tf_optimizer_module.Optimizer, optimizers.TFOptimizer)): raise ValueError('Only TF native optimizers are supported in Eager mode.') self.optimizer = optimizers.get(optimizer) self.loss = loss self.metrics = metrics or [] self.loss_weights = loss_weights if context.executing_eagerly() and sample_weight_mode is not None: raise ValueError('sample_weight_mode is not supported in Eager mode.') self.sample_weight_mode = sample_weight_mode if context.executing_eagerly() and weighted_metrics is not None: raise ValueError('weighted_metrics is not supported in Eager mode.') self.weighted_metrics = weighted_metrics if context.executing_eagerly() and target_tensors is not None: raise ValueError('target_tensors is not supported in Eager mode.') self.target_tensors = target_tensors if not self.built: # Model is not compilable because it does not know its number of inputs # and outputs, nor their shapes and names. We will compile after the first # time the model gets called on training data. return self._is_compiled = True # Prepare loss functions. if isinstance(loss, dict): for name in loss: if name not in self.output_names: raise ValueError( 'Unknown entry in loss ' 'dictionary: "' + name + '". ' 'Only expected the following keys: ' + str(self.output_names)) loss_functions = [] for name in self.output_names: if name not in loss: logging.warning( 'Output "' + name + '" missing from loss dictionary. ' 'We assume this was done on purpose, ' 'and we will not be expecting ' 'any data to be passed to "' + name + '" during training.') loss_functions.append(losses.get(loss.get(name))) elif isinstance(loss, list): if len(loss) != len(self.outputs): raise ValueError('When passing a list as loss, ' 'it should have one entry per model outputs. ' 'The model has ' + str(len(self.outputs)) + ' outputs, but you passed loss=' + str(loss)) loss_functions = [losses.get(l) for l in loss] else: loss_function = losses.get(loss) loss_functions = [loss_function for _ in range(len(self.outputs))] self.loss_functions = loss_functions weighted_losses = [training_utils.weighted_masked_objective(fn) for fn in loss_functions] skip_target_indices = [] skip_target_weighing_indices = [] self._feed_outputs = [] self._feed_output_names = [] self._feed_output_shapes = [] self._feed_loss_fns = [] for i in range(len(weighted_losses)): if weighted_losses[i] is None: skip_target_indices.append(i) skip_target_weighing_indices.append(i) # Prepare output masks. if not context.executing_eagerly(): masks = self.compute_mask(self.inputs, mask=None) if masks is None: masks = [None for _ in self.outputs] if not isinstance(masks, list): masks = [masks] # Prepare loss weights. if loss_weights is None: loss_weights_list = [1. for _ in range(len(self.outputs))] elif isinstance(loss_weights, dict): for name in loss_weights: if name not in self.output_names: raise ValueError( 'Unknown entry in loss_weights ' 'dictionary: "' + name + '". ' 'Only expected the following keys: ' + str(self.output_names)) loss_weights_list = [] for name in self.output_names: loss_weights_list.append(loss_weights.get(name, 1.)) elif isinstance(loss_weights, list): if len(loss_weights) != len(self.outputs): raise ValueError( 'When passing a list as loss_weights, ' 'it should have one entry per model output. ' 'The model has ' + str(len(self.outputs)) + ' outputs, but you passed loss_weights=' + str(loss_weights)) loss_weights_list = loss_weights else: raise TypeError('Could not interpret loss_weights argument: ' + str(loss_weights) + ' - expected a list of dicts.') self.loss_weights_list = loss_weights_list # initialization for Eager mode execution if context.executing_eagerly(): if target_tensors is not None: raise ValueError('target_tensors are not currently supported in Eager ' 'mode.') self.total_loss = None self.metrics_tensors = [] self.metrics_names = ['loss'] for i in range(len(self.outputs)): if len(self.outputs) > 1: self.metrics_names.append(self.output_names[i] + '_loss') self.nested_metrics = training_utils.collect_metrics(metrics, self.output_names) self._feed_sample_weight_modes = [] for i in range(len(self.outputs)): self._feed_sample_weight_modes.append(None) self.sample_weights = [] self.targets = [] for i in range(len(self.outputs)): self._feed_output_names.append(self.output_names[i]) self._collected_trainable_weights = self.trainable_weights return # Prepare targets of model. self.targets = [] self._feed_targets = [] if target_tensors not in (None, []): if isinstance(target_tensors, list): if len(target_tensors) != len(self.outputs): raise ValueError( 'When passing a list as `target_tensors`, ' 'it should have one entry per model output. ' 'The model has ' + str(len(self.outputs)) + ' outputs, but you passed target_tensors=' + str(target_tensors)) elif isinstance(target_tensors, dict): for name in target_tensors: if name not in self.output_names: raise ValueError( 'Unknown entry in `target_tensors` ' 'dictionary: "' + name + '". ' 'Only expected the following keys: ' + str(self.output_names)) tmp_target_tensors = [] for name in self.output_names: tmp_target_tensors.append(target_tensors.get(name, None)) target_tensors = tmp_target_tensors else: raise TypeError('Expected `target_tensors` to be ' 'a list or dict, but got:', target_tensors) for i in range(len(self.outputs)): if i in skip_target_indices: self.targets.append(None) else: shape = K.int_shape(self.outputs[i]) name = self.output_names[i] if target_tensors not in (None, []): target = target_tensors[i] else: target = None if target is None or K.is_placeholder(target): if target is None: target = K.placeholder( ndim=len(shape), name=name + '_target', sparse=K.is_sparse(self.outputs[i]), dtype=K.dtype(self.outputs[i])) self._feed_targets.append(target) self._feed_outputs.append(self.outputs[i]) self._feed_output_names.append(name) self._feed_output_shapes.append(shape) self._feed_loss_fns.append(self.loss_functions[i]) else: skip_target_weighing_indices.append(i) self.targets.append(target) # Prepare sample weights. sample_weights = [] sample_weight_modes = [] if isinstance(sample_weight_mode, dict): for name in sample_weight_mode: if name not in self.output_names: raise ValueError( 'Unknown entry in ' 'sample_weight_mode dictionary: "' + name + '". ' 'Only expected the following keys: ' + str(self.output_names)) for i, name in enumerate(self.output_names): if i in skip_target_weighing_indices: weight = None sample_weight_modes.append(None) else: if name not in sample_weight_mode: raise ValueError( 'Output "' + name + '" missing from sample_weight_modes ' 'dictionary') if sample_weight_mode.get(name) == 'temporal': weight = K.placeholder(ndim=2, name=name + '_sample_weights') sample_weight_modes.append('temporal') else: weight = K.placeholder(ndim=1, name=name + 'sample_weights') sample_weight_modes.append(None) sample_weights.append(weight) elif isinstance(sample_weight_mode, list): if len(sample_weight_mode) != len(self.outputs): raise ValueError('When passing a list as sample_weight_mode, ' 'it should have one entry per model output. ' 'The model has ' + str(len(self.outputs)) + ' outputs, but you passed ' 'sample_weight_mode=' + str(sample_weight_mode)) for i in range(len(self.output_names)): if i in skip_target_weighing_indices: weight = None sample_weight_modes.append(None) else: mode = sample_weight_mode[i] name = self.output_names[i] if mode == 'temporal': weight = K.placeholder(ndim=2, name=name + '_sample_weights') sample_weight_modes.append('temporal') else: weight = K.placeholder(ndim=1, name=name + '_sample_weights') sample_weight_modes.append(None) sample_weights.append(weight) else: for i, name in enumerate(self.output_names): if i in skip_target_weighing_indices: sample_weight_modes.append(None) sample_weights.append(None) else: if sample_weight_mode == 'temporal': sample_weights.append(array_ops.placeholder_with_default( [[1.]], shape=[None, None], name=name + '_sample_weights')) sample_weight_modes.append('temporal') else: sample_weights.append(array_ops.placeholder_with_default( [1.], shape=[None], name=name + '_sample_weights')) sample_weight_modes.append(None) self.sample_weight_modes = sample_weight_modes self._feed_sample_weight_modes = [] for i in range(len(self.outputs)): if i not in skip_target_weighing_indices: self._feed_sample_weight_modes.append(self.sample_weight_modes[i]) # Prepare metrics. self.weighted_metrics = weighted_metrics self.metrics_names = ['loss'] self.metrics_tensors = [] # Compute total loss. total_loss = None with K.name_scope('loss'): for i in range(len(self.outputs)): if i in skip_target_indices: continue y_true = self.targets[i] y_pred = self.outputs[i] weighted_loss = weighted_losses[i] sample_weight = sample_weights[i] mask = masks[i] loss_weight = loss_weights_list[i] with K.name_scope(self.output_names[i] + '_loss'): output_loss = weighted_loss(y_true, y_pred, sample_weight, mask) if len(self.outputs) > 1: self.metrics_tensors.append(output_loss) self.metrics_names.append(self.output_names[i] + '_loss') if total_loss is None: total_loss = loss_weight * output_loss else: total_loss += loss_weight * output_loss if total_loss is None: if not self.losses: raise ValueError('The model cannot be compiled ' 'because it has no loss to optimize.') else: total_loss = 0. # Add regularization penalties # and other layer-specific losses. for loss_tensor in self.losses: total_loss += loss_tensor # List of same size as output_names. # contains tuples (metrics for output, names of metrics). nested_metrics = training_utils.collect_metrics(metrics, self.output_names) nested_weighted_metrics = training_utils.collect_metrics(weighted_metrics, self.output_names) self.metrics_updates = [] self.stateful_metric_names = [] with K.name_scope('metrics'): for i in range(len(self.outputs)): if i in skip_target_indices: continue y_true = self.targets[i] y_pred = self.outputs[i] weights = sample_weights[i] output_metrics = nested_metrics[i] output_weighted_metrics = nested_weighted_metrics[i] def handle_metrics(metrics, weights=None): metric_name_prefix = 'weighted_' if weights is not None else '' for metric in metrics: if metric in ('accuracy', 'acc', 'crossentropy', 'ce'): # custom handling of accuracy/crossentropy # (because of class mode duality) output_shape = self.outputs[i].get_shape().as_list() if (output_shape[-1] == 1 or self.loss_functions[i] == losses.binary_crossentropy): # case: binary accuracy/crossentropy if metric in ('accuracy', 'acc'): metric_fn = metrics_module.binary_accuracy elif metric in ('crossentropy', 'ce'): metric_fn = metrics_module.binary_crossentropy elif self.loss_functions[ i] == losses.sparse_categorical_crossentropy: # case: categorical accuracy/crossentropy with sparse targets if metric in ('accuracy', 'acc'): metric_fn = metrics_module.sparse_categorical_accuracy elif metric in ('crossentropy', 'ce'): metric_fn = metrics_module.sparse_categorical_crossentropy else: # case: categorical accuracy/crossentropy if metric in ('accuracy', 'acc'): metric_fn = metrics_module.categorical_accuracy elif metric in ('crossentropy', 'ce'): metric_fn = metrics_module.categorical_crossentropy if metric in ('accuracy', 'acc'): suffix = 'acc' elif metric in ('crossentropy', 'ce'): suffix = 'ce' weighted_metric_fn = training_utils.weighted_masked_objective( metric_fn) metric_name = metric_name_prefix + suffix else: metric_fn = metrics_module.get(metric) weighted_metric_fn = training_utils.weighted_masked_objective( metric_fn) # Get metric name as string if hasattr(metric_fn, 'name'): metric_name = metric_fn.name else: metric_name = metric_fn.__name__ metric_name = metric_name_prefix + metric_name with K.name_scope(metric_name): metric_result = weighted_metric_fn( y_true, y_pred, weights=weights, mask=masks[i]) # Append to self.metrics_names, self.metric_tensors, # self.stateful_metric_names if len(self.output_names) > 1: metric_name = '%s_%s' % (self.output_names[i], metric_name) # Dedupe name j = 1 base_metric_name = metric_name while metric_name in self.metrics_names: metric_name = '%s_%d' % (base_metric_name, j) j += 1 self.metrics_names.append(metric_name) self.metrics_tensors.append(metric_result) # Keep track of state updates created by # stateful metrics (i.e. metrics layers). if isinstance(metric_fn, Layer): self.stateful_metric_names.append(metric_name) self.metrics_updates += metric_fn.updates handle_metrics(output_metrics) handle_metrics(output_weighted_metrics, weights=weights) # Prepare gradient updates and state updates. self.total_loss = total_loss self.sample_weights = sample_weights self._feed_sample_weights = [] for i in range(len(self.sample_weights)): if i not in skip_target_weighing_indices: self._feed_sample_weights.append(self.sample_weights[i]) # Functions for train, test and predict will # be compiled lazily when required. # This saves time when the user is not using all functions. self._function_kwargs = kwargs self.train_function = None self.test_function = None self.predict_function = None # Collected trainable weights, sorted in topological order. trainable_weights = self.trainable_weights self._collected_trainable_weights = trainable_weights def _check_trainable_weights_consistency(self): """Check trainable weights count consistency. This will raise a warning if `trainable_weights` and `_collected_trainable_weights` are inconsistent (i.e. have different number of parameters). Inconsistency will typically arise when one modifies `model.trainable` without calling `model.compile` again. """ if not hasattr(self, '_collected_trainable_weights'): return if len(self.trainable_weights) != len(self._collected_trainable_weights): logging.warning( UserWarning( 'Discrepancy between trainable weights and collected trainable' ' weights, did you set `model.trainable` without calling' ' `model.compile` after ?')) def _make_train_function(self): if not hasattr(self, 'train_function'): raise RuntimeError('You must compile your model before using it.') self._check_trainable_weights_consistency() if self.train_function is None: inputs = (self._feed_inputs + self._feed_targets + self._feed_sample_weights) if self.uses_learning_phase and not isinstance(K.learning_phase(), int): inputs += [K.learning_phase()] with K.name_scope('training'): with K.name_scope(self.optimizer.__class__.__name__): # Training updates updates = self.optimizer.get_updates( params=self._collected_trainable_weights, loss=self.total_loss) # Unconditional updates updates += self.get_updates_for(None) # Conditional updates relevant to this model updates += self.get_updates_for(self._feed_inputs) # Stateful metrics updates updates += self.metrics_updates # Gets loss and metrics. Updates weights at each call. self.train_function = K.function( inputs, [self.total_loss] + self.metrics_tensors, updates=updates, name='train_function', **self._function_kwargs) def _make_test_function(self): if not hasattr(self, 'test_function'): raise RuntimeError('You must compile your model before using it.') if self.test_function is None: inputs = (self._feed_inputs + self._feed_targets + self._feed_sample_weights) if self.uses_learning_phase and not isinstance(K.learning_phase(), int): inputs += [K.learning_phase()] # Return loss and metrics, no gradient updates. # Does update the network states. self.test_function = K.function( inputs, [self.total_loss] + self.metrics_tensors, updates=self.state_updates + self.metrics_updates, name='test_function', **self._function_kwargs) def _make_predict_function(self): if not hasattr(self, 'predict_function'): self.predict_function = None if self.predict_function is None: if self.uses_learning_phase and not isinstance(K.learning_phase(), int): inputs = self._feed_inputs + [K.learning_phase()] else: inputs = self._feed_inputs # Gets network outputs. Does not update weights. # Does update the network states. kwargs = getattr(self, '_function_kwargs', {}) self.predict_function = K.function( inputs, self.outputs, updates=self.state_updates, name='predict_function', **kwargs) def _standardize_user_data(self, x, y=None, sample_weight=None, class_weight=None, batch_size=None): """Runs validation checks on input and target data passed by the user. Also standardizes the data to lists of arrays, in order. Also builds and compiles the model on the fly if it is a subclassed model that has never been called before (and thus has no inputs/outputs). This is a purely internal method, subject to refactoring at any time. Args: x: An array or list of arrays, to be used as input data. If the model has known, named inputs, this could also be a dict mapping input names to the corresponding array. y: An array or list of arrays, to be used as target data. If the model has known, named outputs, this could also be a dict mapping output names to the corresponding array. sample_weight: An optional sample-weight array passed by the user to weight the importance of each sample in `x`. class_weight: An optional class-weight array by the user to weight the importance of samples in `x` based on the class they belong to, as conveyed by `y`. batch_size: Integer batch size. If provided, it is used to run additional validation checks on stateful models. Returns: A tuple of 3 lists: input arrays, target arrays, sample-weight arrays. If the model's input and targets are symbolic, these lists are empty (since the model takes no user-provided data, instead the data comes from the symbolic inputs/targets). Raises: ValueError: In case of invalid user-provided data. RuntimeError: If the model was never compiled. """ # First, we build/compile the model on the fly if necessary. all_inputs = [] if not self.built: # We need to use `x` to set the model inputs. # We type-check that `x` and `y` are either single arrays # or lists of arrays. if isinstance(x, (list, tuple)): if not all(isinstance(v, np.ndarray) or tensor_util.is_tensor(v) for v in x): raise ValueError('Please provide as model inputs either a single ' 'array or a list of arrays. You passed: x=' + str(x)) all_inputs += list(x) elif isinstance(x, dict): raise ValueError('Please do not pass a dictionary as model inputs.') else: if not isinstance(x, np.ndarray) and not tensor_util.is_tensor(x): raise ValueError('Please provide as model inputs either a single ' 'array or a list of arrays. You passed: x=' + str(x)) all_inputs.append(x) # Build the model using the retrieved inputs (value or symbolic). # If values, then in symbolic-mode placeholders will be created # to match the value shapes. if not self.inputs: self._set_inputs(x) if y is not None: if not self.optimizer: raise RuntimeError('You must compile a model before ' 'training/testing. ' 'Use `model.compile(optimizer, loss)`.') if not self._is_compiled: # On-the-fly compilation of the model. # We need to use `y` to set the model targets. if isinstance(y, (list, tuple)): if not all(isinstance(v, np.ndarray) or tensor_util.is_tensor(v) for v in y): raise ValueError('Please provide as model targets either a single ' 'array or a list of arrays. ' 'You passed: y=' + str(y)) elif isinstance(y, dict): raise ValueError('Please do not pass a dictionary as model targets.') else: if not isinstance(y, np.ndarray) and not tensor_util.is_tensor(y): raise ValueError('Please provide as model targets either a single ' 'array or a list of arrays. ' 'You passed: y=' + str(y)) # Typecheck that all inputs are *either* value *or* symbolic. # TODO(fchollet): this check could be removed in Eager mode? if y is not None: if isinstance(y, (list, tuple)): all_inputs += list(y) else: all_inputs.append(y) if any(tensor_util.is_tensor(v) for v in all_inputs): if not all(tensor_util.is_tensor(v) for v in all_inputs): raise ValueError('Do not pass inputs that mix Numpy arrays and ' 'TensorFlow tensors. ' 'You passed: x=' + str(x) + '; y=' + str(y)) if context.executing_eagerly(): target_tensors = None else: # Handle target tensors if any passed. if not isinstance(y, (list, tuple)): y = [y] target_tensors = [v for v in y if tensor_util.is_tensor(v)] self.compile(optimizer=self.optimizer, loss=self.loss, metrics=self.metrics, loss_weights=self.loss_weights, target_tensors=target_tensors) # If `x` and `y` were all symbolic, then no model should not be fed any # inputs and targets. # Note: in this case, `any` and `all` are equivalent since we disallow # mixed symbolic/value inputs. if any(tensor_util.is_tensor(v) for v in all_inputs): return [], [], [] # What follows is input validation and standardization to list format, # in the case where all inputs are value arrays. if context.executing_eagerly(): # In eager mode, do not do shape validation. feed_input_names = self.input_names feed_input_shapes = None elif not self._is_graph_network: # Case: symbolic-mode subclassed network. Do not do shape validation. feed_input_names = self._feed_input_names feed_input_shapes = None else: # Case: symbolic-mode graph network. # In this case, we run extensive shape validation checks. feed_input_names = self._feed_input_names feed_input_shapes = self._feed_input_shapes # Standardize the inputs. x = training_utils.standardize_input_data( x, feed_input_names, feed_input_shapes, check_batch_axis=False, # Don't enforce the batch size. exception_prefix='input') if y is not None: if context.executing_eagerly(): feed_output_names = self.output_names feed_output_shapes = None # Sample weighting not supported in this case. # TODO(fchollet): consider supporting it. feed_sample_weight_modes = [None for _ in self.outputs] elif not self._is_graph_network: feed_output_names = self._feed_output_names feed_output_shapes = None # Sample weighting not supported in this case. # TODO(fchollet): consider supporting it. feed_sample_weight_modes = [None for _ in self.outputs] else: feed_output_names = self._feed_output_names feed_sample_weight_modes = self._feed_sample_weight_modes feed_output_shapes = [] for output_shape, loss_fn in zip(self._feed_output_shapes, self._feed_loss_fns): if loss_fn is losses.sparse_categorical_crossentropy: feed_output_shapes.append(output_shape[:-1] + (1,)) elif (not hasattr(loss_fn, '__name__') or getattr(losses, loss_fn.__name__, None) is None): # If `loss_fn` is not a function (e.g. callable class) # or if it not in the `losses` module, then # it is a user-defined loss and we make no assumptions # about it. feed_output_shapes.append(None) else: feed_output_shapes.append(output_shape) # Standardize the outputs. y = training_utils.standardize_input_data( y, feed_output_names, feed_output_shapes, check_batch_axis=False, # Don't enforce the batch size. exception_prefix='target') # Generate sample-wise weight values given the `sample_weight` and # `class_weight` arguments. sample_weights = training_utils.standardize_sample_weights( sample_weight, feed_output_names) class_weights = training_utils.standardize_class_weights( class_weight, feed_output_names) sample_weights = [ training_utils.standardize_weights(ref, sw, cw, mode) for (ref, sw, cw, mode) in zip(y, sample_weights, class_weights, feed_sample_weight_modes) ] # Check that all arrays have the same length. training_utils.check_array_lengths(x, y, sample_weights) if self._is_graph_network and not context.executing_eagerly(): # Additional checks to avoid users mistakenly using improper loss fns. training_utils.check_loss_and_target_compatibility( y, self._feed_loss_fns, feed_output_shapes) else: y = [] sample_weights = [] if self.stateful and batch_size: # Check that for stateful networks, number of samples is a multiple # of the static batch size. if x[0].shape[0] % batch_size != 0: raise ValueError('In a stateful network, ' 'you should only pass inputs with ' 'a number of samples that can be ' 'divided by the batch size. Found: ' + str(x[0].shape[0]) + ' samples') return x, y, sample_weights def _set_inputs(self, inputs, training=None): """Set model's input and output specs based on the input data received. This is to be used for Model subclasses, which do not know at instantiation time what their inputs look like. Args: inputs: Single array, or list of arrays. The arrays could be placeholders, Numpy arrays, or data tensors. - if placeholders: the model is built on top of these placeholders, and we expect Numpy data to be fed for them when calling `fit`/etc. - if Numpy data: we create placeholders matching the shape of the Numpy arrays. We expect Numpy data to be fed for these placeholders when calling `fit`/etc. - if data tensors: the model is built on top of these tensors. We do not expect any Numpy data to be provided when calling `fit`/etc. training: Boolean or None. Only relevant in symbolic mode. Specifies whether to build the model's graph in inference mode (False), training mode (True), or using the Keras learning phase (None). """ if self.__class__.__name__ == 'Sequential': # Note: we can't test whether the model is `Sequential` via `isinstance` # since `Sequential` depends on `Model`. if isinstance(inputs, list): assert len(inputs) == 1 inputs = inputs[0] self.build(input_shape=(None,) + inputs.shape[1:]) elif context.executing_eagerly(): self._eager_set_inputs(inputs) else: self._symbolic_set_inputs(inputs, training=training) def _set_scope(self, scope=None): """Modify the Layer scope creation logic to create ResourceVariables.""" super(Model, self)._set_scope(scope=scope) # Subclassed Models create ResourceVariables by default. This makes it # easier to use Models in an eager/graph agnostic way (since eager execution # always uses ResourceVariables). if not self._is_graph_network: self._scope.set_use_resource(True) def _eager_set_inputs(self, inputs): """Set model's input and output specs based on the input data received. This is to be used for Model subclasses, which do not know at instantiation time what their inputs look like. We assume the number and ndim of outputs does not change over different calls. Args: inputs: Argument `x` (input data) passed by the user upon first model use. Raises: ValueError: If the model's inputs are already set. """ assert context.executing_eagerly() if self.inputs: raise ValueError('Model inputs are already set.') # On-the-fly setting of model inputs/outputs as DeferredTensors, # to keep track of number of inputs and outputs and their ndim. if isinstance(inputs, (list, tuple)): dummy_output_values = self.call( [ops.convert_to_tensor(v, dtype=K.floatx()) for v in inputs]) dummy_input_values = list(inputs) else: dummy_output_values = self.call( ops.convert_to_tensor(inputs, dtype=K.floatx())) dummy_input_values = [inputs] if isinstance(dummy_output_values, (list, tuple)): dummy_output_values = list(dummy_output_values) else: dummy_output_values = [dummy_output_values] self.outputs = [ _DeferredTensor(shape=(None for _ in v.shape), dtype=v.dtype) for v in dummy_output_values] self.inputs = [ _DeferredTensor(shape=(None for _ in v.shape), dtype=v.dtype) for v in dummy_input_values] self.input_names = [ 'input_%d' % (i + 1) for i in range(len(dummy_input_values))] self.output_names = [ 'output_%d' % (i + 1) for i in range(len(dummy_output_values))] self.built = True def _symbolic_set_inputs(self, inputs, outputs=None, training=None): """Set model's inputs and output specs based. This is to be used for Model subclasses, which do not know at instantiation time what their inputs look like. Args: inputs: Argument `x` (input data) passed by the user upon first model use. outputs: None, a data tensor, or a list of data tensors. If None, the outputs will be determined by invoking self.call(), otherwise the provided value will be used. training: Boolean or None. Only relevant in symbolic mode. Specifies whether to build the model's graph in inference mode (False), training mode (True), or using the Keras learning phase (None). Raises: ValueError: If the model's inputs are already set. """ assert not context.executing_eagerly() if self.inputs: raise ValueError('Model inputs are already set.') # On-the-fly setting of symbolic model inputs (either by using the tensor # provided, or by creating a placeholder if Numpy data was provided). self.inputs = [] self.input_names = [] self._feed_inputs = [] self._feed_input_names = [] self._feed_input_shapes = [] if isinstance(inputs, (list, tuple)): inputs = list(inputs) else: inputs = [inputs] for i, v in enumerate(inputs): name = 'input_%d' % (i + 1) self.input_names.append(name) if isinstance(v, list): v = np.asarray(v) if v.ndim == 1: v = np.expand_dims(v, 1) if isinstance(v, (np.ndarray)): # We fix the placeholder shape except the batch size. # This is suboptimal, but it is the best we can do with the info # we have. The user should call `model._set_inputs(placeholders)` # to specify custom placeholders if the need arises. shape = (None,) + v.shape[1:] placeholder = K.placeholder(shape=shape, name=name) self.inputs.append(placeholder) self._feed_inputs.append(placeholder) self._feed_input_names.append(name) self._feed_input_shapes.append(shape) else: # Assumed tensor - TODO(fchollet) additional type check? self.inputs.append(v) if K.is_placeholder(v): self._feed_inputs.append(v) self._feed_input_names.append(name) self._feed_input_shapes.append(K.int_shape(v)) if outputs is None: # Obtain symbolic outputs by calling the model. if len(self.inputs) == 1: if self._expects_training_arg: outputs = self.call(self.inputs[0], training=training) else: outputs = self.call(self.inputs[0]) else: if self._expects_training_arg: outputs = self.call(self.inputs, training=training) else: outputs = self.call(self.inputs) if isinstance(outputs, (list, tuple)): outputs = list(outputs) else: outputs = [outputs] self.outputs = outputs self.output_names = [ 'output_%d' % (i + 1) for i in range(len(self.outputs))] self.built = True def fit(self, x=None, y=None, batch_size=None, epochs=1, verbose=1, callbacks=None, validation_split=0., validation_data=None, shuffle=True, class_weight=None, sample_weight=None, initial_epoch=0, steps_per_epoch=None, validation_steps=None, **kwargs): """Trains the model for a fixed number of epochs (iterations on a dataset). Arguments: x: Numpy array of training data (if the model has a single input), or list of Numpy arrays (if the model has multiple inputs). If input layers in the model are named, you can also pass a dictionary mapping input names to Numpy arrays. `x` can be `None` (default) if feeding from TensorFlow data tensors. y: Numpy array of target (label) data (if the model has a single output), or list of Numpy arrays (if the model has multiple outputs). If output layers in the model are named, you can also pass a dictionary mapping output names to Numpy arrays. `y` can be `None` (default) if feeding from TensorFlow data tensors. batch_size: Integer or `None`. Number of samples per gradient update. If unspecified, `batch_size` will default to 32. epochs: Integer. Number of epochs to train the model. An epoch is an iteration over the entire `x` and `y` data provided. Note that in conjunction with `initial_epoch`, `epochs` is to be understood as "final epoch". The model is not trained for a number of iterations given by `epochs`, but merely until the epoch of index `epochs` is reached. verbose: Integer. 0, 1, or 2. Verbosity mode. 0 = silent, 1 = progress bar, 2 = one line per epoch. callbacks: List of `keras.callbacks.Callback` instances. List of callbacks to apply during training. See [callbacks](/callbacks). validation_split: Float between 0 and 1. Fraction of the training data to be used as validation data. The model will set apart this fraction of the training data, will not train on it, and will evaluate the loss and any model metrics on this data at the end of each epoch. The validation data is selected from the last samples in the `x` and `y` data provided, before shuffling. validation_data: tuple `(x_val, y_val)` or tuple `(x_val, y_val, val_sample_weights)` on which to evaluate the loss and any model metrics at the end of each epoch. The model will not be trained on this data. `validation_data` will override `validation_split`. shuffle: Boolean (whether to shuffle the training data before each epoch) or str (for 'batch'). 'batch' is a special option for dealing with the limitations of HDF5 data; it shuffles in batch-sized chunks. Has no effect when `steps_per_epoch` is not `None`. class_weight: Optional dictionary mapping class indices (integers) to a weight (float) value, used for weighting the loss function (during training only). This can be useful to tell the model to "pay more attention" to samples from an under-represented class. sample_weight: Optional Numpy array of weights for the training samples, used for weighting the loss function (during training only). You can either pass a flat (1D) Numpy array with the same length as the input samples (1:1 mapping between weights and samples), or in the case of temporal data, you can pass a 2D array with shape `(samples, sequence_length)`, to apply a different weight to every timestep of every sample. In this case you should make sure to specify `sample_weight_mode="temporal"` in `compile()`. initial_epoch: Integer. Epoch at which to start training (useful for resuming a previous training run). steps_per_epoch: Integer or `None`. Total number of steps (batches of samples) before declaring one epoch finished and starting the next epoch. When training with input tensors such as TensorFlow data tensors, the default `None` is equal to the number of samples in your dataset divided by the batch size, or 1 if that cannot be determined. validation_steps: Only relevant if `steps_per_epoch` is specified. Total number of steps (batches of samples) to validate before stopping. **kwargs: Used for backwards compatibility. Returns: A `History` object. Its `History.history` attribute is a record of training loss values and metrics values at successive epochs, as well as validation loss values and validation metrics values (if applicable). Raises: RuntimeError: If the model was never compiled. ValueError: In case of mismatch between the provided input data and what the model expects. """ # TODO(fchollet): this method may be creating reference cycles, which would # lead to accumulating garbage in memory when called in a loop. Investigate. # Backwards compatibility if batch_size is None and steps_per_epoch is None: batch_size = 32 # Legacy support if 'nb_epoch' in kwargs: logging.warning( 'The `nb_epoch` argument in `fit` ' 'has been renamed `epochs`.') epochs = kwargs.pop('nb_epoch') if kwargs: raise TypeError('Unrecognized keyword arguments: ' + str(kwargs)) if x is None and y is None and steps_per_epoch is None: raise ValueError('If fitting from data tensors, ' 'you should specify the `steps_per_epoch` ' 'argument.') # Validate user data. x, y, sample_weights = self._standardize_user_data( x, y, sample_weight=sample_weight, class_weight=class_weight, batch_size=batch_size) # Prepare validation data. if validation_data: if len(validation_data) == 2: val_x, val_y = validation_data # pylint: disable=unpacking-non-sequence val_sample_weight = None elif len(validation_data) == 3: val_x, val_y, val_sample_weight = validation_data # pylint: disable=unpacking-non-sequence else: raise ValueError( 'When passing validation_data, ' 'it must contain 2 (x_val, y_val) ' 'or 3 (x_val, y_val, val_sample_weights) ' 'items, however it contains %d items' % len(validation_data)) val_x, val_y, val_sample_weights = self._standardize_user_data( val_x, val_y, sample_weight=val_sample_weight, batch_size=batch_size) elif validation_split and 0. < validation_split < 1.: if hasattr(x[0], 'shape'): split_at = int(x[0].shape[0] * (1. - validation_split)) else: split_at = int(len(x[0]) * (1. - validation_split)) x, val_x = (slice_arrays(x, 0, split_at), slice_arrays(x, split_at)) y, val_y = (slice_arrays(y, 0, split_at), slice_arrays(y, split_at)) sample_weights, val_sample_weights = (slice_arrays( sample_weights, 0, split_at), slice_arrays(sample_weights, split_at)) elif validation_steps: val_x = [] val_y = [] val_sample_weights = [] else: val_x = None val_y = None val_sample_weights = None if context.executing_eagerly(): return training_eager.fit_loop( self, inputs=x, targets=y, sample_weights=sample_weights, batch_size=batch_size, epochs=epochs, verbose=verbose, callbacks=callbacks, val_inputs=val_x, val_targets=val_y, val_sample_weights=val_sample_weights, shuffle=shuffle, initial_epoch=initial_epoch, steps_per_epoch=steps_per_epoch, validation_steps=validation_steps) else: return training_arrays.fit_loop( self, x, y, sample_weights=sample_weights, batch_size=batch_size, epochs=epochs, verbose=verbose, callbacks=callbacks, val_inputs=val_x, val_targets=val_y, val_sample_weights=val_sample_weights, shuffle=shuffle, initial_epoch=initial_epoch, steps_per_epoch=steps_per_epoch, validation_steps=validation_steps) def evaluate(self, x=None, y=None, batch_size=None, verbose=1, sample_weight=None, steps=None): """Returns the loss value & metrics values for the model in test mode. Computation is done in batches. Arguments: x: Numpy array of test data (if the model has a single input), or list of Numpy arrays (if the model has multiple inputs). If input layers in the model are named, you can also pass a dictionary mapping input names to Numpy arrays. `x` can be `None` (default) if feeding from TensorFlow data tensors. y: Numpy array of target (label) data (if the model has a single output), or list of Numpy arrays (if the model has multiple outputs). If output layers in the model are named, you can also pass a dictionary mapping output names to Numpy arrays. `y` can be `None` (default) if feeding from TensorFlow data tensors. batch_size: Integer or `None`. Number of samples per evaluation step. If unspecified, `batch_size` will default to 32. verbose: 0 or 1. Verbosity mode. 0 = silent, 1 = progress bar. sample_weight: Optional Numpy array of weights for the test samples, used for weighting the loss function. You can either pass a flat (1D) Numpy array with the same length as the input samples (1:1 mapping between weights and samples), or in the case of temporal data, you can pass a 2D array with shape `(samples, sequence_length)`, to apply a different weight to every timestep of every sample. In this case you should make sure to specify `sample_weight_mode="temporal"` in `compile()`. steps: Integer or `None`. Total number of steps (batches of samples) before declaring the evaluation round finished. Ignored with the default value of `None`. Returns: Scalar test loss (if the model has a single output and no metrics) or list of scalars (if the model has multiple outputs and/or metrics). The attribute `model.metrics_names` will give you the display labels for the scalar outputs. Raises: ValueError: in case of invalid arguments. """ # Backwards compatibility. if batch_size is None and steps is None: batch_size = 32 if x is None and y is None and steps is None: raise ValueError('If evaluating from data tensors, ' 'you should specify the `steps` ' 'argument.') # Validate user data. x, y, sample_weights = self._standardize_user_data( x, y, sample_weight=sample_weight, batch_size=batch_size) if context.executing_eagerly(): return training_eager.test_loop( self, inputs=x, targets=y, sample_weights=sample_weights, batch_size=batch_size, verbose=verbose, steps=steps) else: return training_arrays.test_loop( self, inputs=x, targets=y, sample_weights=sample_weights, batch_size=batch_size, verbose=verbose, steps=steps) def predict(self, x, batch_size=None, verbose=0, steps=None): """Generates output predictions for the input samples. Computation is done in batches. Arguments: x: The input data, as a Numpy array (or list of Numpy arrays if the model has multiple outputs). batch_size: Integer. If unspecified, it will default to 32. verbose: Verbosity mode, 0 or 1. steps: Total number of steps (batches of samples) before declaring the prediction round finished. Ignored with the default value of `None`. Returns: Numpy array(s) of predictions. Raises: ValueError: In case of mismatch between the provided input data and the model's expectations, or in case a stateful model receives a number of samples that is not a multiple of the batch size. """ # Backwards compatibility. if batch_size is None and steps is None: batch_size = 32 if x is None and steps is None: raise ValueError('If predicting from data tensors, ' 'you should specify the `steps` ' 'argument.') x, _, _ = self._standardize_user_data(x) if context.executing_eagerly(): return training_eager.predict_loop( self, x, batch_size=batch_size, verbose=verbose, steps=steps) else: return training_arrays.predict_loop( self, x, batch_size=batch_size, verbose=verbose, steps=steps) def train_on_batch(self, x, y, sample_weight=None, class_weight=None): """Runs a single gradient update on a single batch of data. Arguments: x: Numpy array of training data, or list of Numpy arrays if the model has multiple inputs. If all inputs in the model are named, you can also pass a dictionary mapping input names to Numpy arrays. y: Numpy array of target data, or list of Numpy arrays if the model has multiple outputs. If all outputs in the model are named, you can also pass a dictionary mapping output names to Numpy arrays. sample_weight: Optional array of the same length as x, containing weights to apply to the model's loss for each sample. In the case of temporal data, you can pass a 2D array with shape (samples, sequence_length), to apply a different weight to every timestep of every sample. In this case you should make sure to specify sample_weight_mode="temporal" in compile(). class_weight: Optional dictionary mapping class indices (integers) to a weight (float) to apply to the model's loss for the samples from this class during training. This can be useful to tell the model to "pay more attention" to samples from an under-represented class. Returns: Scalar training loss (if the model has a single output and no metrics) or list of scalars (if the model has multiple outputs and/or metrics). The attribute `model.metrics_names` will give you the display labels for the scalar outputs. Raises: ValueError: In case of invalid user-provided arguments. """ x, y, sample_weights = self._standardize_user_data( x, y, sample_weight=sample_weight, class_weight=class_weight) if context.executing_eagerly(): outputs = training_eager.train_on_batch( self, x, y, sample_weights=sample_weights) else: if self.uses_learning_phase and not isinstance(K.learning_phase(), int): ins = x + y + sample_weights + [1] else: ins = x + y + sample_weights self._make_train_function() outputs = self.train_function(ins) if len(outputs) == 1: return outputs[0] return outputs def test_on_batch(self, x, y, sample_weight=None): """Test the model on a single batch of samples. Arguments: x: Numpy array of test data, or list of Numpy arrays if the model has multiple inputs. If all inputs in the model are named, you can also pass a dictionary mapping input names to Numpy arrays. y: Numpy array of target data, or list of Numpy arrays if the model has multiple outputs. If all outputs in the model are named, you can also pass a dictionary mapping output names to Numpy arrays. sample_weight: Optional array of the same length as x, containing weights to apply to the model's loss for each sample. In the case of temporal data, you can pass a 2D array with shape (samples, sequence_length), to apply a different weight to every timestep of every sample. In this case you should make sure to specify sample_weight_mode="temporal" in compile(). Returns: Scalar test loss (if the model has a single output and no metrics) or list of scalars (if the model has multiple outputs and/or metrics). The attribute `model.metrics_names` will give you the display labels for the scalar outputs. Raises: ValueError: In case of invalid user-provided arguments. """ x, y, sample_weights = self._standardize_user_data( x, y, sample_weight=sample_weight) if context.executing_eagerly(): outputs = training_eager.test_on_batch( self, x, y, sample_weights=sample_weights) else: if self.uses_learning_phase and not isinstance(K.learning_phase(), int): ins = x + y + sample_weights + [0] else: ins = x + y + sample_weights self._make_test_function() outputs = self.test_function(ins) if len(outputs) == 1: return outputs[0] return outputs def predict_on_batch(self, x): """Returns predictions for a single batch of samples. Arguments: x: Input samples, as a Numpy array. Returns: Numpy array(s) of predictions. """ x, _, _ = self._standardize_user_data(x) if context.executing_eagerly(): inputs = [ops.convert_to_tensor(val, dtype=K.floatx()) for val in x] return self(inputs) # pylint: disable=not-callable if not context.executing_eagerly(): if self.uses_learning_phase and not isinstance(K.learning_phase(), int): ins = x + [0] else: ins = x self._make_predict_function() outputs = self.predict_function(ins) if len(outputs) == 1: return outputs[0] return outputs def fit_generator(self, generator, steps_per_epoch=None, epochs=1, verbose=1, callbacks=None, validation_data=None, validation_steps=None, class_weight=None, max_queue_size=10, workers=1, use_multiprocessing=False, shuffle=True, initial_epoch=0): """Fits the model on data yielded batch-by-batch by a Python generator. The generator is run in parallel to the model, for efficiency. For instance, this allows you to do real-time data augmentation on images on CPU in parallel to training your model on GPU. The use of `keras.utils.Sequence` guarantees the ordering and guarantees the single use of every input per epoch when using `use_multiprocessing=True`. Arguments: generator: A generator or an instance of `Sequence` (`keras.utils.Sequence`) object in order to avoid duplicate data when using multiprocessing. The output of the generator must be either - a tuple `(inputs, targets)` - a tuple `(inputs, targets, sample_weights)`. This tuple (a single output of the generator) makes a single batch. Therefore, all arrays in this tuple must have the same length (equal to the size of this batch). Different batches may have different sizes. For example, the last batch of the epoch is commonly smaller than the others, if the size of the dataset is not divisible by the batch size. The generator is expected to loop over its data indefinitely. An epoch finishes when `steps_per_epoch` batches have been seen by the model. steps_per_epoch: Total number of steps (batches of samples) to yield from `generator` before declaring one epoch finished and starting the next epoch. It should typically be equal to the number of samples of your dataset divided by the batch size. Optional for `Sequence`: if unspecified, will use the `len(generator)` as a number of steps. epochs: Integer, total number of iterations on the data. verbose: Verbosity mode, 0, 1, or 2. callbacks: List of callbacks to be called during training. validation_data: This can be either - a generator for the validation data - a tuple (inputs, targets) - a tuple (inputs, targets, sample_weights). validation_steps: Only relevant if `validation_data` is a generator. Total number of steps (batches of samples) to yield from `generator` before stopping. Optional for `Sequence`: if unspecified, will use the `len(validation_data)` as a number of steps. class_weight: Dictionary mapping class indices to a weight for the class. max_queue_size: Integer. Maximum size for the generator queue. If unspecified, `max_queue_size` will default to 10. workers: Integer. Maximum number of processes to spin up when using process-based threading. If unspecified, `workers` will default to 1. If 0, will execute the generator on the main thread. use_multiprocessing: Boolean. If `True`, use process-based threading. If unspecified, `use_multiprocessing` will default to `False`. Note that because this implementation relies on multiprocessing, you should not pass non-picklable arguments to the generator as they can't be passed easily to children processes. shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of `Sequence` (`keras.utils.Sequence`). Has no effect when `steps_per_epoch` is not `None`. initial_epoch: Epoch at which to start training (useful for resuming a previous training run) Returns: A `History` object. Example: ```python def generate_arrays_from_file(path): while 1: f = open(path) for line in f: # create numpy arrays of input data # and labels, from each line in the file x1, x2, y = process_line(line) yield ({'input_1': x1, 'input_2': x2}, {'output': y}) f.close() model.fit_generator(generate_arrays_from_file('/my_file.txt'), steps_per_epoch=10000, epochs=10) ``` Raises: ValueError: In case the generator yields data in an invalid format. """ if not self.built and not self._is_graph_network: raise NotImplementedError( '`fit_generator` is not yet enabled for unbuilt Model subclasses') return training_generator.fit_generator( self, generator, steps_per_epoch=steps_per_epoch, epochs=epochs, verbose=verbose, callbacks=callbacks, validation_data=validation_data, validation_steps=validation_steps, class_weight=class_weight, max_queue_size=max_queue_size, workers=workers, use_multiprocessing=use_multiprocessing, shuffle=shuffle, initial_epoch=initial_epoch) def evaluate_generator(self, generator, steps=None, max_queue_size=10, workers=1, use_multiprocessing=False): """Evaluates the model on a data generator. The generator should return the same kind of data as accepted by `test_on_batch`. Arguments: generator: Generator yielding tuples (inputs, targets) or (inputs, targets, sample_weights) or an instance of Sequence (keras.utils.Sequence) object in order to avoid duplicate data when using multiprocessing. steps: Total number of steps (batches of samples) to yield from `generator` before stopping. Optional for `Sequence`: if unspecified, will use the `len(generator)` as a number of steps. max_queue_size: maximum size for the generator queue workers: Integer. Maximum number of processes to spin up when using process-based threading. If unspecified, `workers` will default to 1. If 0, will execute the generator on the main thread. use_multiprocessing: Boolean. If `True`, use process-based threading. If unspecified, `use_multiprocessing` will default to `False`. Note that because this implementation relies on multiprocessing, you should not pass non-picklable arguments to the generator as they can't be passed easily to children processes. Returns: Scalar test loss (if the model has a single output and no metrics) or list of scalars (if the model has multiple outputs and/or metrics). The attribute `model.metrics_names` will give you the display labels for the scalar outputs. Raises: ValueError: in case of invalid arguments. Raises: ValueError: In case the generator yields data in an invalid format. """ if not self.built and not self._is_graph_network: raise NotImplementedError( '`evaluate_generator` is not yet enabled for ' 'unbuilt Model subclasses') return training_generator.evaluate_generator( self, generator, steps=steps, max_queue_size=max_queue_size, workers=workers, use_multiprocessing=use_multiprocessing) def predict_generator(self, generator, steps=None, max_queue_size=10, workers=1, use_multiprocessing=False, verbose=0): """Generates predictions for the input samples from a data generator. The generator should return the same kind of data as accepted by `predict_on_batch`. Arguments: generator: Generator yielding batches of input samples or an instance of Sequence (keras.utils.Sequence) object in order to avoid duplicate data when using multiprocessing. steps: Total number of steps (batches of samples) to yield from `generator` before stopping. Optional for `Sequence`: if unspecified, will use the `len(generator)` as a number of steps. max_queue_size: Maximum size for the generator queue. workers: Integer. Maximum number of processes to spin up when using process-based threading. If unspecified, `workers` will default to 1. If 0, will execute the generator on the main thread. use_multiprocessing: Boolean. If `True`, use process-based threading. If unspecified, `use_multiprocessing` will default to `False`. Note that because this implementation relies on multiprocessing, you should not pass non-picklable arguments to the generator as they can't be passed easily to children processes. verbose: verbosity mode, 0 or 1. Returns: Numpy array(s) of predictions. Raises: ValueError: In case the generator yields data in an invalid format. """ if not self.built and not self._is_graph_network: raise NotImplementedError( '`predict_generator` is not yet enabled for unbuilt Model subclasses') return training_generator.predict_generator( self, generator, steps=steps, max_queue_size=max_queue_size, workers=workers, use_multiprocessing=use_multiprocessing, verbose=verbose)

apache-2.0

awkspace/ansible

lib/ansible/plugins/callback/slack.py

40

8260

# (C) 2014-2015, Matt Martz <matt@sivel.net> # (C) 2017 Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type DOCUMENTATION = ''' callback: slack callback_type: notification requirements: - whitelist in configuration - prettytable (python library) short_description: Sends play events to a Slack channel version_added: "2.1" description: - This is an ansible callback plugin that sends status updates to a Slack channel during playbook execution. - Before 2.4 only environment variables were available for configuring this plugin options: webhook_url: required: True description: Slack Webhook URL env: - name: SLACK_WEBHOOK_URL ini: - section: callback_slack key: webhook_url channel: default: "#ansible" description: Slack room to post in. env: - name: SLACK_CHANNEL ini: - section: callback_slack key: channel username: description: Username to post as. env: - name: SLACK_USERNAME default: ansible ini: - section: callback_slack key: username validate_certs: description: validate the SSL certificate of the Slack server. (For HTTPS URLs) version_added: "2.8" env: - name: SLACK_VALIDATE_CERTS ini: - section: callback_slack key: validate_certs default: True type: bool ''' import json import os import uuid from ansible import context from ansible.module_utils._text import to_text from ansible.module_utils.urls import open_url from ansible.plugins.callback import CallbackBase try: import prettytable HAS_PRETTYTABLE = True except ImportError: HAS_PRETTYTABLE = False class CallbackModule(CallbackBase): """This is an ansible callback plugin that sends status updates to a Slack channel during playbook execution. """ CALLBACK_VERSION = 2.0 CALLBACK_TYPE = 'notification' CALLBACK_NAME = 'slack' CALLBACK_NEEDS_WHITELIST = True def __init__(self, display=None): super(CallbackModule, self).__init__(display=display) if not HAS_PRETTYTABLE: self.disabled = True self._display.warning('The `prettytable` python module is not ' 'installed. Disabling the Slack callback ' 'plugin.') self.playbook_name = None # This is a 6 character identifier provided with each message # This makes it easier to correlate messages when there are more # than 1 simultaneous playbooks running self.guid = uuid.uuid4().hex[:6] def set_options(self, task_keys=None, var_options=None, direct=None): super(CallbackModule, self).set_options(task_keys=task_keys, var_options=var_options, direct=direct) self.webhook_url = self.get_option('webhook_url') self.channel = self.get_option('channel') self.username = self.get_option('username') self.show_invocation = (self._display.verbosity > 1) self.validate_certs = self.get_option('validate_certs') if self.webhook_url is None: self.disabled = True self._display.warning('Slack Webhook URL was not provided. The ' 'Slack Webhook URL can be provided using ' 'the `SLACK_WEBHOOK_URL` environment ' 'variable.') def send_msg(self, attachments): headers = { 'Content-type': 'application/json', } payload = { 'channel': self.channel, 'username': self.username, 'attachments': attachments, 'parse': 'none', 'icon_url': ('http://cdn2.hubspot.net/hub/330046/' 'file-449187601-png/ansible_badge.png'), } data = json.dumps(payload) self._display.debug(data) self._display.debug(self.webhook_url) try: response = open_url(self.webhook_url, data=data, validate_certs=self.validate_certs, headers=headers) return response.read() except Exception as e: self._display.warning(u'Could not submit message to Slack: %s' % to_text(e)) def v2_playbook_on_start(self, playbook): self.playbook_name = os.path.basename(playbook._file_name) title = [ '*Playbook initiated* (_%s_)' % self.guid ] invocation_items = [] if context.CLIARGS and self.show_invocation: tags = context.CLIARGS['tags'] skip_tags = context.CLIARGS['skip_tags'] extra_vars = context.CLIARGS['extra_vars'] subset = context.CLIARGS['subset'] inventory = [os.path.abspath(i) for i in context.CLIARGS['inventory']] invocation_items.append('Inventory: %s' % ', '.join(inventory)) if tags and tags != ['all']: invocation_items.append('Tags: %s' % ', '.join(tags)) if skip_tags: invocation_items.append('Skip Tags: %s' % ', '.join(skip_tags)) if subset: invocation_items.append('Limit: %s' % subset) if extra_vars: invocation_items.append('Extra Vars: %s' % ' '.join(extra_vars)) title.append('by *%s*' % context.CLIARGS['remote_user']) title.append('\n\n*%s*' % self.playbook_name) msg_items = [' '.join(title)] if invocation_items: msg_items.append('```\n%s\n```' % '\n'.join(invocation_items)) msg = '\n'.join(msg_items) attachments = [{ 'fallback': msg, 'fields': [ { 'value': msg } ], 'color': 'warning', 'mrkdwn_in': ['text', 'fallback', 'fields'], }] self.send_msg(attachments=attachments) def v2_playbook_on_play_start(self, play): """Display Play start messages""" name = play.name or 'Play name not specified (%s)' % play._uuid msg = '*Starting play* (_%s_)\n\n*%s*' % (self.guid, name) attachments = [ { 'fallback': msg, 'text': msg, 'color': 'warning', 'mrkdwn_in': ['text', 'fallback', 'fields'], } ] self.send_msg(attachments=attachments) def v2_playbook_on_stats(self, stats): """Display info about playbook statistics""" hosts = sorted(stats.processed.keys()) t = prettytable.PrettyTable(['Host', 'Ok', 'Changed', 'Unreachable', 'Failures', 'Rescued', 'Ignored']) failures = False unreachable = False for h in hosts: s = stats.summarize(h) if s['failures'] > 0: failures = True if s['unreachable'] > 0: unreachable = True t.add_row([h] + [s[k] for k in ['ok', 'changed', 'unreachable', 'failures', 'rescued', 'ignored']]) attachments = [] msg_items = [ '*Playbook Complete* (_%s_)' % self.guid ] if failures or unreachable: color = 'danger' msg_items.append('\n*Failed!*') else: color = 'good' msg_items.append('\n*Success!*') msg_items.append('```\n%s\n```' % t) msg = '\n'.join(msg_items) attachments.append({ 'fallback': msg, 'fields': [ { 'value': msg } ], 'color': color, 'mrkdwn_in': ['text', 'fallback', 'fields'] }) self.send_msg(attachments=attachments)

gpl-3.0

annahs/atmos_research

WHI_long_term_2min_data_to_db.py

1

8596

import sys import os import numpy as np from pprint import pprint from datetime import datetime from datetime import timedelta import mysql.connector import math import calendar import matplotlib.pyplot as plt import matplotlib.cm as cm from matplotlib import dates start = datetime(2009,7,15,4) #2009 - 20090628 2010 - 20100610 2012 - 20100405 end = datetime(2009,8,17) #2009 - 20090816 2010 - 20100726 2012 - 20100601 timestep = 6.#1./30 #hours sample_min = 117 #117 for all 2009-2012 sample_max = 123 #123 for all 2009-2012 yag_min = 3.8 #3.8 for all 2009-2012 yag_max = 6 #6 for all 2009-2012 BC_VED_min = 70 BC_VED_max = 220 min_scat_pkht = 20 mass_min = ((BC_VED_min/(10.**7))**3)*(math.pi/6.)*1.8*(10.**15) mass_max = ((BC_VED_max/(10.**7))**3)*(math.pi/6.)*1.8*(10.**15) lag_threshold_2009 = 0.1 lag_threshold_2010 = 0.25 lag_threshold_2012 = 1.5 print 'mass limits', mass_min, mass_max cnx = mysql.connector.connect(user='root', password='Suresh15', host='localhost', database='black_carbon') cursor = cnx.cursor() def check_spike_times(particle_start_time,particle_end_time): cursor.execute('''SELECT count(*) FROM whi_spike_times_2009to2012 WHERE (spike_start_UTC <= %s AND spike_end_UTC > %s) OR (spike_start_UTC <= %s AND spike_end_UTC > %s) ''', (particle_start_time,particle_start_time,particle_end_time,particle_end_time)) spike_count = cursor.fetchall()[0][0] return spike_count def get_hysplit_id(particle_start_time): cursor.execute('''SELECT id FROM whi_hysplit_hourly_data WHERE (UNIX_UTC_start_time <= %s AND UNIX_UTC_end_time > %s) ''', (particle_start_time,particle_start_time)) hy_id_list = cursor.fetchall() if hy_id_list == []: hy_id = None else: hy_id = hy_id_list[0][0] return hy_id def get_met_info(particle_start_time): cursor.execute('''SELECT id,pressure_Pa,room_temp_C FROM whi_sampling_conditions WHERE (UNIX_UTC_start_time <= %s AND UNIX_UTC_end_time > %s) ''', (particle_start_time,particle_start_time)) met_list = cursor.fetchall() if met_list == []: met_list = [[np.nan,np.nan,np.nan]] return met_list[0] def get_gc_id(particle_start_time): cursor.execute('''SELECT id FROM whi_gc_hourly_bc_data WHERE (UNIX_UTC_start_time <= %s AND UNIX_UTC_end_time > %s) ''', (particle_start_time,particle_start_time)) gc_id_list = cursor.fetchall() if gc_id_list == []: gc_id = None else: gc_id = gc_id_list[0][0] return gc_id def get_sample_factor(UNIX_start): date_time = datetime.utcfromtimestamp(UNIX_start) sample_factors_2012 = [ [datetime(2012,4,4,19,43,4), datetime(2012,4,5,13,47,9), 3.0], [datetime(2012,4,5,13,47,9), datetime(2012,4,10,3,3,25), 1.0], [datetime(2012,4,10,3,3,25), datetime(2012,5,16,6,9,13), 3.0], [datetime(2012,5,16,6,9,13), datetime(2012,6,7,18,14,39), 10.0], ] if date_time.year in [2009,2010]: sample_factor = 1.0 if date_time.year == 2012: for date_range in sample_factors_2012: start_date = date_range[0] end_date = date_range[1] range_sample_factor = date_range[2] if start_date<= date_time < end_date: sample_factor = range_sample_factor return sample_factor def lag_time_calc(BB_incand_pk_pos,BB_scat_pk_pos): long_lags = 0 short_lags = 0 lag_time = np.nan if (-10 < lag_time < 10): lag_time = (BB_incand_pk_pos-BB_scat_pk_pos)*0.2 #us if start_dt.year == 2009 and lag_time > lag_threshold_2009: long_lags = 1 elif start_dt.year == 2010 and lag_time > lag_threshold_2010: long_lags = 1 elif start_dt.year == 2012 and lag_time > lag_threshold_2012: long_lags = 1 else: short_lags = 1 return [lag_time,long_lags,short_lags] #query to add 1h mass conc data add_data = ('''INSERT INTO whi_sp2_2min_data (UNIX_UTC_start_time,UNIX_UTC_end_time,number_particles,rBC_mass_conc,rBC_mass_conc_err,volume_air_sampled,sampling_duration,mean_lag_time,sample_factor,hysplit_hourly_id,whi_sampling_cond_id,gc_hourly_id) VALUES (%(UNIX_UTC_start_time)s,%(UNIX_UTC_end_time)s,%(number_particles)s,%(rBC_mass_conc)s,%(rBC_mass_conc_err)s,%(volume_air_sampled)s,%(sampling_duration)s,%(mean_lag_time)s,%(sample_factor)s,%(hysplit_hourly_id)s,%(whi_sampling_cond_id)s,%(gc_hourly_id)s)''' ) # multiple_records = [] i=1 while start <= end: long_lags = 0 short_lags = 0 if (4 <= start.hour < 16): UNIX_start = calendar.timegm(start.utctimetuple()) UNIX_end = UNIX_start + timestep*3600.0 print start, UNIX_start+60 print datetime.utcfromtimestamp(UNIX_end) #filter on hk data here cursor.execute('''(SELECT mn.UNIX_UTC_ts_int_start, mn.UNIX_UTC_ts_int_end, mn.rBC_mass_fg_BBHG, mn.rBC_mass_fg_BBHG_err, mn.BB_incand_pk_pos, mn.BB_scat_pk_pos, mn.BB_scat_pkht, hk.sample_flow, mn.BB_incand_HG FROM whi_sp2_particle_data mn FORCE INDEX (hourly_binning) JOIN whi_hk_data hk on mn.HK_id = hk.id WHERE mn.UNIX_UTC_ts_int_start >= %s AND mn.UNIX_UTC_ts_int_end < %s AND hk.sample_flow >= %s AND hk.sample_flow < %s AND hk.yag_power >= %s AND hk.yag_power < %s)''', (UNIX_start,UNIX_end,sample_min,sample_max,yag_min,yag_max)) ind_data = cursor.fetchall() data={ 'rBC_mass_fg':[], 'rBC_mass_fg_err':[], 'lag_time':[] } total_sample_vol = 0 for row in ind_data: ind_start_time = float(row[0]) ind_end_time = float(row[1]) bbhg_mass_corr11 = float(row[2]) bbhg_mass_corr_err = float(row[3]) BB_incand_pk_pos = float(row[4]) BB_scat_pk_pos = float(row[5]) BB_scat_pk_ht = float(row[6]) sample_flow = float(row[7]) #in vccm incand_pkht = float(row[8]) #filter spike times here if check_spike_times(ind_start_time,ind_end_time): print 'spike' continue #skip the long interval if (ind_end_time - ind_start_time) > 540: print 'long interval' continue #skip if no sample flow if sample_flow == None: print 'no flow' continue #get sampling conditions id and met conditions met_data = get_met_info(UNIX_start) met_id = met_data[0] pressure = met_data[1] temperature = met_data[2]+273.15 correction_factor_for_STP = (273*pressure)/(101325*temperature) sample_vol = (sample_flow*(ind_end_time-ind_start_time)/60)*correction_factor_for_STP #/60 b/c sccm and time in secs total_sample_vol = total_sample_vol + sample_vol bbhg_mass_corr = 0.01244+0.0172*incand_pkht if (mass_min <= bbhg_mass_corr < mass_max): #get sample factor sample_factor = get_sample_factor(UNIX_start) data['rBC_mass_fg'].append(bbhg_mass_corr*sample_factor) data['rBC_mass_fg_err'].append(bbhg_mass_corr_err) #only calc lag time if there is a scattering signal if BB_scat_pk_ht > min_scat_pkht: lags = lag_time_calc(BB_incand_pk_pos,BB_scat_pk_pos) data['lag_time'].append(lags[0]) long_lags += lags[1] short_lags += lags[2] tot_rBC_mass_fg = sum(data['rBC_mass_fg']) tot_rBC_mass_uncer = sum(data['rBC_mass_fg_err']) rBC_number = len(data['rBC_mass_fg']) mean_lag = float(np.mean(data['lag_time'])) if np.isnan(mean_lag): mean_lag = None #get hysplit_id hysplit_id = None #get_hysplit_id(UNIX_start) #get GC id gc_id = None #get_gc_id(UNIX_start) if total_sample_vol != 0: mass_conc = (tot_rBC_mass_fg/total_sample_vol) mass_conc_uncer = (tot_rBC_mass_uncer/total_sample_vol) #add to db single_record = { 'UNIX_UTC_start_time' :UNIX_start, 'UNIX_UTC_end_time' :UNIX_end, 'number_particles' :rBC_number, 'rBC_mass_conc' :mass_conc, 'rBC_mass_conc_err' :mass_conc_uncer, 'volume_air_sampled' :total_sample_vol, 'sampling_duration' :(total_sample_vol/2), 'mean_lag_time' :mean_lag, 'number_long_lag' :long_lags, 'number_short_lag' :short_lags, 'sample_factor' :sample_factor, 'hysplit_hourly_id' :hysplit_id, 'whi_sampling_cond_id' :met_id, 'gc_hourly_id' :gc_id, } multiple_records.append((single_record)) #bulk insert to db table if i%1 == 0: cursor.executemany(add_data, multiple_records) cnx.commit() multiple_records = [] #increment count i+= 1 start += timedelta(hours = timestep) #bulk insert of remaining records to db if multiple_records != []: cursor.executemany(add_data, multiple_records) cnx.commit() multiple_records = [] cnx.close()

mit

turicas/outputty

tests/test_Table_html.py

2

5790

#!/usr/bin/env python # coding: utf-8 # Copyright 2011 Álvaro Justen # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 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 General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. import unittest import tempfile import os from textwrap import dedent from outputty import Table class TestTableHtml(unittest.TestCase): def test_to_html_should_without_parameters_should_return_string(self): my_table = Table(headers=['ham', 'spam', 'eggs']) self.assertTrue(isinstance(my_table.write('html'), str)) def test_to_html_with_only_headers(self): my_table = Table(headers=['ham', 'spam', 'eggs', 'blah']) output = my_table.write('html', css_classes=False) expected = dedent(''' <table> <thead> <tr> <th>ham</th> <th>spam</th> <th>eggs</th> <th>blah</th> </tr> </thead> </table> ''').strip() self.assertEquals(output, expected) def test_to_html_with_headers_and_some_rows(self): my_table = Table(headers=['ham', 'spam', 'eggs']) my_table.append(['python', 'rules', '!']) my_table.append({'ham': 'spam', 'spam': 'eggs', 'eggs': 'ham'}) output = my_table.write('html', css_classes=False) expected = dedent(''' <table> <thead> <tr> <th>ham</th> <th>spam</th> <th>eggs</th> </tr> </thead> <tbody> <tr> <td>python</td> <td>rules</td> <td>!</td> </tr> <tr> <td>spam</td> <td>eggs</td> <td>ham</td> </tr> </tbody> </table> ''').strip() self.assertEquals(output, expected) def test_to_html_with_headers_and_rows_with_some_columns_empty(self): my_table = Table(headers=['ham', 'spam', 'eggs']) my_table.append({'ham': 'spam'}) my_table.append({'spam': 'eggs'}) my_table.append({'eggs': 'ham'}) output = my_table.write('html', css_classes=False) expected = dedent(''' <table> <thead> <tr> <th>ham</th> <th>spam</th> <th>eggs</th> </tr> </thead> <tbody> <tr> <td>spam</td> <td></td> <td></td> </tr> <tr> <td></td> <td>eggs</td> <td></td> </tr> <tr> <td></td> <td></td> <td>ham</td> </tr> </tbody> </table> ''').strip() self.assertEquals(output, expected) def test_to_html_with_a_parameter_should_save_a_file(self): temp_fp = tempfile.NamedTemporaryFile(delete=False) temp_fp.close() my_table = Table(headers=['ham', 'spam', 'eggs']) my_table.append(['python', 'rules', '!']) my_table.append({'ham': 'spam', 'spam': 'eggs', 'eggs': 'ham'}) my_table.write('html', temp_fp.name, css_classes=False) temp_fp = open(temp_fp.name) output = temp_fp.read() temp_fp.close() os.remove(temp_fp.name) expected = dedent(''' <table> <thead> <tr> <th>ham</th> <th>spam</th> <th>eggs</th> </tr> </thead> <tbody> <tr> <td>python</td> <td>rules</td> <td>!</td> </tr> <tr> <td>spam</td> <td>eggs</td> <td>ham</td> </tr> </tbody> </table> ''').strip() self.assertEquals(output, expected) def test_to_html_should_create_CSS_classes_for_odd_and_even_rows(self): my_table = Table(headers=['ham', 'spam', 'eggs']) my_table.append(['python', 'rules', '!']) my_table.append({'ham': 'spam', 'spam': 'eggs', 'eggs': 'ham'}) my_table.append(['python', 'rules', '!']) my_table.append({'ham': 'spam', 'spam': 'eggs', 'eggs': 'ham'}) output = my_table.write('html', css_classes=True) expected = dedent(''' <table> <thead> <tr class="header"> <th>ham</th> <th>spam</th> <th>eggs</th> </tr> </thead> <tbody> <tr class="odd"> <td>python</td> <td>rules</td> <td>!</td> </tr> <tr class="even"> <td>spam</td> <td>eggs</td> <td>ham</td> </tr> <tr class="odd"> <td>python</td> <td>rules</td> <td>!</td> </tr> <tr class="even"> <td>spam</td> <td>eggs</td> <td>ham</td> </tr> </tbody> </table> ''').strip() self.assertEquals(output, expected) #TODO: test input and output encoding

gpl-3.0

varunarya10/tempest

tempest/tests/fake_http.py

42

2411

# Copyright 2013 IBM Corp. # # 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 copy import httplib2 class fake_httplib2(object): def __init__(self, return_type=None, *args, **kwargs): self.return_type = return_type def request(self, uri, method="GET", body=None, headers=None, redirections=5, connection_type=None): if not self.return_type: fake_headers = httplib2.Response(headers) return_obj = { 'uri': uri, 'method': method, 'body': body, 'headers': headers } return (fake_headers, return_obj) elif isinstance(self.return_type, int): body = "fake_body" header_info = { 'content-type': 'text/plain', 'status': str(self.return_type), 'content-length': len(body) } resp_header = httplib2.Response(header_info) return (resp_header, body) else: msg = "unsupported return type %s" % self.return_type raise TypeError(msg) class fake_httplib(object): def __init__(self, headers, body=None, version=1.0, status=200, reason="Ok"): """ :param headers: dict representing HTTP response headers :param body: file-like object :param version: HTTP Version :param status: Response status code :param reason: Status code related message. """ self.body = body self.status = status self.reason = reason self.version = version self.headers = headers def getheaders(self): return copy.deepcopy(self.headers).items() def getheader(self, key, default): return self.headers.get(key, default) def read(self, amt): return self.body.read(amt)

apache-2.0

Saicheg/omim

3party/Alohalytics/tests/googletest/xcode/Scripts/versiongenerate.py

3088

4536

#!/usr/bin/env python # # Copyright 2008, Google Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """A script to prepare version informtion for use the gtest Info.plist file. This script extracts the version information from the configure.ac file and uses it to generate a header file containing the same information. The #defines in this header file will be included in during the generation of the Info.plist of the framework, giving the correct value to the version shown in the Finder. This script makes the following assumptions (these are faults of the script, not problems with the Autoconf): 1. The AC_INIT macro will be contained within the first 1024 characters of configure.ac 2. The version string will be 3 integers separated by periods and will be surrounded by squre brackets, "[" and "]" (e.g. [1.0.1]). The first segment represents the major version, the second represents the minor version and the third represents the fix version. 3. No ")" character exists between the opening "(" and closing ")" of AC_INIT, including in comments and character strings. """ import sys import re # Read the command line argument (the output directory for Version.h) if (len(sys.argv) < 3): print "Usage: versiongenerate.py input_dir output_dir" sys.exit(1) else: input_dir = sys.argv[1] output_dir = sys.argv[2] # Read the first 1024 characters of the configure.ac file config_file = open("%s/configure.ac" % input_dir, 'r') buffer_size = 1024 opening_string = config_file.read(buffer_size) config_file.close() # Extract the version string from the AC_INIT macro # The following init_expression means: # Extract three integers separated by periods and surrounded by squre # brackets(e.g. "[1.0.1]") between "AC_INIT(" and ")". Do not be greedy # (*? is the non-greedy flag) since that would pull in everything between # the first "(" and the last ")" in the file. version_expression = re.compile(r"AC_INIT\(.*?\[(\d+)\.(\d+)\.(\d+)\].*?\)", re.DOTALL) version_values = version_expression.search(opening_string) major_version = version_values.group(1) minor_version = version_values.group(2) fix_version = version_values.group(3) # Write the version information to a header file to be included in the # Info.plist file. file_data = """// // DO NOT MODIFY THIS FILE (but you can delete it) // // This file is autogenerated by the versiongenerate.py script. This script // is executed in a "Run Script" build phase when creating gtest.framework. This // header file is not used during compilation of C-source. Rather, it simply // defines some version strings for substitution in the Info.plist. Because of // this, we are not not restricted to C-syntax nor are we using include guards. // #define GTEST_VERSIONINFO_SHORT %s.%s #define GTEST_VERSIONINFO_LONG %s.%s.%s """ % (major_version, minor_version, major_version, minor_version, fix_version) version_file = open("%s/Version.h" % output_dir, 'w') version_file.write(file_data) version_file.close()

apache-2.0

inviwo/inviwo

data/scripts/matplotlib_create_transferfunction.py

2

1270

# Inviwo Python script import matplotlib.cm as cm import matplotlib.pyplot as plt import inviwopy from inviwopy.glm import vec2,vec3,vec4 #http://matplotlib.org/examples/color/colormaps_reference.html #Perceptually Uniform Sequential : #['viridis', 'inferno', 'plasma', 'magma'] #Sequential : #['Blues', 'BuGn', 'BuPu','GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd', 'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu','Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd'] #Diverging : #['afmhot', 'autumn', 'bone', 'cool','copper', 'gist_heat', 'gray', 'hot','pink', 'spring', 'summer', 'winter'] #Qualitative : #['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr', 'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral', 'seismic'] #Miscellaneous : #['Accent', 'Dark2', 'Paired', 'Pastel1', 'Pastel2', 'Set1', 'Set2', 'Set3'] #Sequential : #['gist_earth', 'terrain', 'ocean', 'gist_stern','brg', 'CMRmap', 'cubehelix','gnuplot', 'gnuplot2', 'gist_ncar', 'nipy_spectral', 'jet', 'rainbow', 'gist_rainbow', 'hsv', 'flag', 'prism'] tf = inviwopy.app.network.VolumeRaycaster.transferFunction tf.clear() cmapName = "viridis" cmap=plt.get_cmap(cmapName) N = 128 for i in range(0,N,1): x = i / (N-1) a = 1.0 color = cmap(x) tf.add(x, vec4(color[0],color[1],color[2], a))

bsd-2-clause

Codefans-fan/odoo

openerp/addons/base/tests/test_orm.py

20

17911

from collections import defaultdict from openerp.tools import mute_logger from openerp.tests import common UID = common.ADMIN_USER_ID DB = common.DB class TestORM(common.TransactionCase): """ test special behaviors of ORM CRUD functions TODO: use real Exceptions types instead of Exception """ def setUp(self): super(TestORM, self).setUp() cr, uid = self.cr, self.uid self.partner = self.registry('res.partner') self.users = self.registry('res.users') self.p1 = self.partner.name_create(cr, uid, 'W')[0] self.p2 = self.partner.name_create(cr, uid, 'Y')[0] self.ir_rule = self.registry('ir.rule') # sample unprivileged user employee_gid = self.ref('base.group_user') self.uid2 = self.users.create(cr, uid, {'name': 'test user', 'login': 'test', 'groups_id': [4,employee_gid]}) @mute_logger('openerp.models') def testAccessDeletedRecords(self): """ Verify that accessing deleted records works as expected """ cr, uid, uid2, p1, p2 = self.cr, self.uid, self.uid2, self.p1, self.p2 self.partner.unlink(cr, uid, [p1]) # read() is expected to skip deleted records because our API is not # transactional for a sequence of search()->read() performed from the # client-side... a concurrent deletion could therefore cause spurious # exceptions even when simply opening a list view! # /!\ Using unprileged user to detect former side effects of ir.rules! self.assertEqual([{'id': p2, 'name': 'Y'}], self.partner.read(cr, uid2, [p1,p2], ['name']), "read() should skip deleted records") self.assertEqual([], self.partner.read(cr, uid2, [p1], ['name']), "read() should skip deleted records") # Deleting an already deleted record should be simply ignored self.assertTrue(self.partner.unlink(cr, uid, [p1]), "Re-deleting should be a no-op") # Updating an already deleted record should raise, even as admin with self.assertRaises(Exception): self.partner.write(cr, uid, [p1], {'name': 'foo'}) @mute_logger('openerp.models') def testAccessFilteredRecords(self): """ Verify that accessing filtered records works as expected for non-admin user """ cr, uid, uid2, p1, p2 = self.cr, self.uid, self.uid2, self.p1, self.p2 partner_model = self.registry('ir.model').search(cr, uid, [('model','=','res.partner')])[0] self.ir_rule.create(cr, uid, {'name': 'Y is invisible', 'domain_force': [('id', '!=', p1)], 'model_id': partner_model}) # search as unprivileged user partners = self.partner.search(cr, uid2, []) self.assertFalse(p1 in partners, "W should not be visible...") self.assertTrue(p2 in partners, "... but Y should be visible") # read as unprivileged user with self.assertRaises(Exception): self.partner.read(cr, uid2, [p1], ['name']) # write as unprivileged user with self.assertRaises(Exception): self.partner.write(cr, uid2, [p1], {'name': 'foo'}) # unlink as unprivileged user with self.assertRaises(Exception): self.partner.unlink(cr, uid2, [p1]) # Prepare mixed case self.partner.unlink(cr, uid, [p2]) # read mixed records: some deleted and some filtered with self.assertRaises(Exception): self.partner.read(cr, uid2, [p1,p2], ['name']) # delete mixed records: some deleted and some filtered with self.assertRaises(Exception): self.partner.unlink(cr, uid2, [p1,p2]) def test_multi_read(self): record_id = self.partner.create(self.cr, UID, {'name': 'MyPartner1'}) records = self.partner.read(self.cr, UID, [record_id]) self.assertIsInstance(records, list) def test_one_read(self): record_id = self.partner.create(self.cr, UID, {'name': 'MyPartner1'}) record = self.partner.read(self.cr, UID, record_id) self.assertIsInstance(record, dict) @mute_logger('openerp.models') def test_search_read(self): # simple search_read self.partner.create(self.cr, UID, {'name': 'MyPartner1'}) found = self.partner.search_read(self.cr, UID, [['name', '=', 'MyPartner1']], ['name']) self.assertEqual(len(found), 1) self.assertEqual(found[0]['name'], 'MyPartner1') self.assertTrue('id' in found[0]) # search_read correct order self.partner.create(self.cr, UID, {'name': 'MyPartner2'}) found = self.partner.search_read(self.cr, UID, [['name', 'like', 'MyPartner']], ['name'], order="name") self.assertEqual(len(found), 2) self.assertEqual(found[0]['name'], 'MyPartner1') self.assertEqual(found[1]['name'], 'MyPartner2') found = self.partner.search_read(self.cr, UID, [['name', 'like', 'MyPartner']], ['name'], order="name desc") self.assertEqual(len(found), 2) self.assertEqual(found[0]['name'], 'MyPartner2') self.assertEqual(found[1]['name'], 'MyPartner1') # search_read that finds nothing found = self.partner.search_read(self.cr, UID, [['name', '=', 'Does not exists']], ['name']) self.assertEqual(len(found), 0) def test_exists(self): partner = self.partner.browse(self.cr, UID, []) # check that records obtained from search exist recs = partner.search([]) self.assertTrue(recs) self.assertEqual(recs.exists(), recs) # check that there is no record with id 0 recs = partner.browse([0]) self.assertFalse(recs.exists()) def test_groupby_date(self): partners = dict( A='2012-11-19', B='2012-12-17', C='2012-12-31', D='2013-01-07', E='2013-01-14', F='2013-01-28', G='2013-02-11', ) all_partners = [] partners_by_day = defaultdict(set) partners_by_month = defaultdict(set) partners_by_year = defaultdict(set) for name, date in partners.items(): p = self.partner.create(self.cr, UID, dict(name=name, date=date)) all_partners.append(p) partners_by_day[date].add(p) partners_by_month[date.rsplit('-', 1)[0]].add(p) partners_by_year[date.split('-', 1)[0]].add(p) def read_group(interval, domain=None): main_domain = [('id', 'in', all_partners)] if domain: domain = ['&'] + main_domain + domain else: domain = main_domain rg = self.partner.read_group(self.cr, self.uid, domain, ['date'], 'date' + ':' + interval) result = {} for r in rg: result[r['date:' + interval]] = set(self.partner.search(self.cr, self.uid, r['__domain'])) return result self.assertEqual(len(read_group('day')), len(partners_by_day)) self.assertEqual(len(read_group('month')), len(partners_by_month)) self.assertEqual(len(read_group('year')), len(partners_by_year)) rg = self.partner.read_group(self.cr, self.uid, [('id', 'in', all_partners)], ['date'], ['date:month', 'date:day'], lazy=False) self.assertEqual(len(rg), len(all_partners)) class TestInherits(common.TransactionCase): """ test the behavior of the orm for models that use _inherits; specifically: res.users, that inherits from res.partner """ def setUp(self): super(TestInherits, self).setUp() self.partner = self.registry('res.partner') self.user = self.registry('res.users') def test_default(self): """ `default_get` cannot return a dictionary or a new id """ defaults = self.user.default_get(self.cr, UID, ['partner_id']) if 'partner_id' in defaults: self.assertIsInstance(defaults['partner_id'], (bool, int, long)) def test_create(self): """ creating a user should automatically create a new partner """ partners_before = self.partner.search(self.cr, UID, []) foo_id = self.user.create(self.cr, UID, {'name': 'Foo', 'login': 'foo', 'password': 'foo'}) foo = self.user.browse(self.cr, UID, foo_id) self.assertNotIn(foo.partner_id.id, partners_before) def test_create_with_ancestor(self): """ creating a user with a specific 'partner_id' should not create a new partner """ par_id = self.partner.create(self.cr, UID, {'name': 'Foo'}) partners_before = self.partner.search(self.cr, UID, []) foo_id = self.user.create(self.cr, UID, {'partner_id': par_id, 'login': 'foo', 'password': 'foo'}) partners_after = self.partner.search(self.cr, UID, []) self.assertEqual(set(partners_before), set(partners_after)) foo = self.user.browse(self.cr, UID, foo_id) self.assertEqual(foo.name, 'Foo') self.assertEqual(foo.partner_id.id, par_id) @mute_logger('openerp.models') def test_read(self): """ inherited fields should be read without any indirection """ foo_id = self.user.create(self.cr, UID, {'name': 'Foo', 'login': 'foo', 'password': 'foo'}) foo_values, = self.user.read(self.cr, UID, [foo_id]) partner_id = foo_values['partner_id'][0] partner_values, = self.partner.read(self.cr, UID, [partner_id]) self.assertEqual(foo_values['name'], partner_values['name']) foo = self.user.browse(self.cr, UID, foo_id) self.assertEqual(foo.name, foo.partner_id.name) @mute_logger('openerp.models') def test_copy(self): """ copying a user should automatically copy its partner, too """ foo_id = self.user.create(self.cr, UID, {'name': 'Foo', 'login': 'foo', 'password': 'foo'}) foo_before, = self.user.read(self.cr, UID, [foo_id]) del foo_before['__last_update'] bar_id = self.user.copy(self.cr, UID, foo_id, {'login': 'bar', 'password': 'bar'}) foo_after, = self.user.read(self.cr, UID, [foo_id]) del foo_after['__last_update'] self.assertEqual(foo_before, foo_after) foo, bar = self.user.browse(self.cr, UID, [foo_id, bar_id]) self.assertEqual(bar.login, 'bar') self.assertNotEqual(foo.id, bar.id) self.assertNotEqual(foo.partner_id.id, bar.partner_id.id) @mute_logger('openerp.models') def test_copy_with_ancestor(self): """ copying a user with 'parent_id' in defaults should not duplicate the partner """ foo_id = self.user.create(self.cr, UID, {'name': 'Foo', 'login': 'foo', 'password': 'foo', 'login_date': '2016-01-01', 'signature': 'XXX'}) par_id = self.partner.create(self.cr, UID, {'name': 'Bar'}) foo_before, = self.user.read(self.cr, UID, [foo_id]) del foo_before['__last_update'] partners_before = self.partner.search(self.cr, UID, []) bar_id = self.user.copy(self.cr, UID, foo_id, {'partner_id': par_id, 'login': 'bar'}) foo_after, = self.user.read(self.cr, UID, [foo_id]) del foo_after['__last_update'] partners_after = self.partner.search(self.cr, UID, []) self.assertEqual(foo_before, foo_after) self.assertEqual(set(partners_before), set(partners_after)) foo, bar = self.user.browse(self.cr, UID, [foo_id, bar_id]) self.assertNotEqual(foo.id, bar.id) self.assertEqual(bar.partner_id.id, par_id) self.assertEqual(bar.login, 'bar', "login is given from copy parameters") self.assertFalse(bar.login_date, "login_date should not be copied from original record") self.assertEqual(bar.name, 'Bar', "name is given from specific partner") self.assertEqual(bar.signature, foo.signature, "signature should be copied") CREATE = lambda values: (0, False, values) UPDATE = lambda id, values: (1, id, values) DELETE = lambda id: (2, id, False) FORGET = lambda id: (3, id, False) LINK_TO = lambda id: (4, id, False) DELETE_ALL = lambda: (5, False, False) REPLACE_WITH = lambda ids: (6, False, ids) def sorted_by_id(list_of_dicts): "sort dictionaries by their 'id' field; useful for comparisons" return sorted(list_of_dicts, key=lambda d: d.get('id')) class TestO2MSerialization(common.TransactionCase): """ test the orm method 'write' on one2many fields """ def setUp(self): super(TestO2MSerialization, self).setUp() self.partner = self.registry('res.partner') def test_no_command(self): " empty list of commands yields an empty list of records " results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', []) self.assertEqual(results, []) def test_CREATE_commands(self): " returns the VALUES dict as-is " values = [{'foo': 'bar'}, {'foo': 'baz'}, {'foo': 'baq'}] results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', map(CREATE, values)) self.assertEqual(results, values) def test_LINK_TO_command(self): " reads the records from the database, records are returned with their ids. " ids = [ self.partner.create(self.cr, UID, {'name': 'foo'}), self.partner.create(self.cr, UID, {'name': 'bar'}), self.partner.create(self.cr, UID, {'name': 'baz'}) ] commands = map(LINK_TO, ids) results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', commands, ['name']) self.assertEqual(sorted_by_id(results), sorted_by_id([ {'id': ids[0], 'name': 'foo'}, {'id': ids[1], 'name': 'bar'}, {'id': ids[2], 'name': 'baz'} ])) def test_bare_ids_command(self): " same as the equivalent LINK_TO commands " ids = [ self.partner.create(self.cr, UID, {'name': 'foo'}), self.partner.create(self.cr, UID, {'name': 'bar'}), self.partner.create(self.cr, UID, {'name': 'baz'}) ] results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', ids, ['name']) self.assertEqual(sorted_by_id(results), sorted_by_id([ {'id': ids[0], 'name': 'foo'}, {'id': ids[1], 'name': 'bar'}, {'id': ids[2], 'name': 'baz'} ])) def test_UPDATE_command(self): " take the in-db records and merge the provided information in " id_foo = self.partner.create(self.cr, UID, {'name': 'foo'}) id_bar = self.partner.create(self.cr, UID, {'name': 'bar'}) id_baz = self.partner.create(self.cr, UID, {'name': 'baz', 'city': 'tag'}) results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', [ LINK_TO(id_foo), UPDATE(id_bar, {'name': 'qux', 'city': 'tagtag'}), UPDATE(id_baz, {'name': 'quux'}) ], ['name', 'city']) self.assertEqual(sorted_by_id(results), sorted_by_id([ {'id': id_foo, 'name': 'foo', 'city': False}, {'id': id_bar, 'name': 'qux', 'city': 'tagtag'}, {'id': id_baz, 'name': 'quux', 'city': 'tag'} ])) def test_DELETE_command(self): " deleted records are not returned at all. " ids = [ self.partner.create(self.cr, UID, {'name': 'foo'}), self.partner.create(self.cr, UID, {'name': 'bar'}), self.partner.create(self.cr, UID, {'name': 'baz'}) ] commands = [DELETE(ids[0]), DELETE(ids[1]), DELETE(ids[2])] results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', commands, ['name']) self.assertEqual(results, []) def test_mixed_commands(self): ids = [ self.partner.create(self.cr, UID, {'name': name}) for name in ['NObar', 'baz', 'qux', 'NOquux', 'NOcorge', 'garply'] ] results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', [ CREATE({'name': 'foo'}), UPDATE(ids[0], {'name': 'bar'}), LINK_TO(ids[1]), DELETE(ids[2]), UPDATE(ids[3], {'name': 'quux',}), UPDATE(ids[4], {'name': 'corge'}), CREATE({'name': 'grault'}), LINK_TO(ids[5]) ], ['name']) self.assertEqual(sorted_by_id(results), sorted_by_id([ {'name': 'foo'}, {'id': ids[0], 'name': 'bar'}, {'id': ids[1], 'name': 'baz'}, {'id': ids[3], 'name': 'quux'}, {'id': ids[4], 'name': 'corge'}, {'name': 'grault'}, {'id': ids[5], 'name': 'garply'} ])) def test_LINK_TO_pairs(self): "LINK_TO commands can be written as pairs, instead of triplets" ids = [ self.partner.create(self.cr, UID, {'name': 'foo'}), self.partner.create(self.cr, UID, {'name': 'bar'}), self.partner.create(self.cr, UID, {'name': 'baz'}) ] commands = map(lambda id: (4, id), ids) results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', commands, ['name']) self.assertEqual(sorted_by_id(results), sorted_by_id([ {'id': ids[0], 'name': 'foo'}, {'id': ids[1], 'name': 'bar'}, {'id': ids[2], 'name': 'baz'} ])) def test_singleton_commands(self): "DELETE_ALL can appear as a singleton" results = self.partner.resolve_2many_commands( self.cr, UID, 'child_ids', [DELETE_ALL()], ['name']) self.assertEqual(results, []) # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

agpl-3.0

alirizakeles/memopol-core

memopol/reps/api.py

2

2647

from tastypie import fields from tastypie.resources import ModelResource from memopol.reps.models import Party,\ Opinion,\ Representative,\ PartyRepresentative,\ Email,\ CV,\ WebSite,\ OpinionREP class REPPartyResource(ModelResource): partyrepresentative_set = fields.ToManyField("memopol.reps.api.REPPartyRepresentativeResource", "partyrepresentative_set") class Meta: queryset = Party.objects.all() class REPOpinionResource(ModelResource): opinionrep_set = fields.ToManyField("memopol.reps.api.REPOpinionREPResource", "opinionrep_set") class Meta: queryset = Opinion.objects.all() class REPRepresentativeResource(ModelResource): opinionrep_set = fields.ToManyField("memopol.reps.api.REPOpinionREPResource", "opinionrep_set") email_set = fields.ToManyField("memopol.reps.api.REPEmailResource", "email_set") website_set = fields.ToManyField("memopol.reps.api.REPWebSiteResource", "website_set") cv_set = fields.ToManyField("memopol.reps.api.REPCVResource", "cv_set") partyrepresentative_set = fields.ToManyField("memopol.reps.api.REPPartyRepresentativeResource", "partyrepresentative_set") score_set = fields.ToManyField("votes.api.ScoreResource", "score_set") vote_set = fields.ToManyField("votes.api.VoteResource", "vote_set") class Meta: queryset = Representative.objects.all() class REPPartyRepresentativeResource(ModelResource): representative = fields.ForeignKey(REPRepresentativeResource, "representative") party = fields.ForeignKey(REPPartyResource, "party") class Meta: queryset = PartyRepresentative.objects.all() class REPEmailResource(ModelResource): representative = fields.ForeignKey(REPRepresentativeResource, "representative") class Meta: queryset = Email.objects.all() class REPCVResource(ModelResource): representative = fields.ForeignKey(REPRepresentativeResource, "representative") class Meta: queryset = CV.objects.all() class REPWebSiteResource(ModelResource): representative = fields.ForeignKey(REPRepresentativeResource, "representative") class Meta: queryset = WebSite.objects.all() class REPOpinionREPResource(ModelResource): representative = fields.ForeignKey(REPRepresentativeResource, "representative") opinion = fields.ForeignKey(REPOpinionResource, "opinion") class Meta: queryset = OpinionREP.objects.all()

gpl-3.0

ndtran/compassion-switzerland

sponsorship_switzerland/__openerp__.py

2

1853

# -*- encoding: utf-8 -*- ############################################################################## # # ______ Releasing children from poverty _ # / ____/___ ____ ___ ____ ____ ___________(_)___ ____ # / / / __ \/ __ `__ \/ __ \/ __ `/ ___/ ___/ / __ \/ __ \ # / /___/ /_/ / / / / / / /_/ / /_/ (__ |__ ) / /_/ / / / / # \____/\____/_/ /_/ /_/ .___/\__,_/____/____/_/\____/_/ /_/ # /_/ # in Jesus' name # # Copyright (C) 2015 Compassion CH (http://www.compassion.ch) # @author: Emanuel Cino <ecino@compassion.ch> # # 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': 'Tailor Sponsorships to Compassion CH needs', 'version': '1.0', 'category': 'Other', 'author': 'Compassion CH', 'website': 'http://www.compassion.ch', 'depends': ['sponsorship_tracking'], 'data': [ 'view/contracts_view.xml', 'data/install.xml'], 'js': ['static/src/js/sponsorship_tracking_kanban.js'], 'demo': [], 'installable': True, 'auto_install': False, }

agpl-3.0

redhat-openstack/swift

swift/common/middleware/cname_lookup.py

29

6766

# Copyright (c) 2010-2012 OpenStack Foundation # # 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. """ CNAME Lookup Middleware Middleware that translates an unknown domain in the host header to something that ends with the configured storage_domain by looking up the given domain's CNAME record in DNS. This middleware will continue to follow a CNAME chain in DNS until it finds a record ending in the configured storage domain or it reaches the configured maximum lookup depth. If a match is found, the environment's Host header is rewritten and the request is passed further down the WSGI chain. """ from six.moves import range import socket from swift import gettext_ as _ try: import dns.resolver from dns.exception import DNSException from dns.resolver import NXDOMAIN, NoAnswer except ImportError: # catch this to allow docs to be built without the dependency MODULE_DEPENDENCY_MET = False else: # executed if the try block finishes with no errors MODULE_DEPENDENCY_MET = True from swift.common.swob import Request, HTTPBadRequest from swift.common.utils import cache_from_env, get_logger, list_from_csv def lookup_cname(domain): # pragma: no cover """ Given a domain, returns its DNS CNAME mapping and DNS ttl. :param domain: domain to query on :returns: (ttl, result) """ try: answer = dns.resolver.query(domain, 'CNAME').rrset ttl = answer.ttl result = answer.items[0].to_text() result = result.rstrip('.') return ttl, result except (DNSException, NXDOMAIN, NoAnswer): return 0, None def is_ip(domain): try: socket.inet_pton(socket.AF_INET, domain) return True except socket.error: try: socket.inet_pton(socket.AF_INET6, domain) return True except socket.error: return False class CNAMELookupMiddleware(object): """ CNAME Lookup Middleware See above for a full description. :param app: The next WSGI filter or app in the paste.deploy chain. :param conf: The configuration dict for the middleware. """ def __init__(self, app, conf): if not MODULE_DEPENDENCY_MET: # reraise the exception if the dependency wasn't met raise ImportError('dnspython is required for this module') self.app = app storage_domain = conf.get('storage_domain', 'example.com') self.storage_domain = ['.' + s for s in list_from_csv(storage_domain) if not s.startswith('.')] self.storage_domain += [s for s in list_from_csv(storage_domain) if s.startswith('.')] self.lookup_depth = int(conf.get('lookup_depth', '1')) self.memcache = None self.logger = get_logger(conf, log_route='cname-lookup') def _domain_endswith_in_storage_domain(self, a_domain): for domain in self.storage_domain: if a_domain.endswith(domain): return True return False def __call__(self, env, start_response): if not self.storage_domain: return self.app(env, start_response) if 'HTTP_HOST' in env: given_domain = env['HTTP_HOST'] else: given_domain = env['SERVER_NAME'] port = '' if ':' in given_domain: given_domain, port = given_domain.rsplit(':', 1) if is_ip(given_domain): return self.app(env, start_response) a_domain = given_domain if not self._domain_endswith_in_storage_domain(a_domain): if self.memcache is None: self.memcache = cache_from_env(env) error = True for tries in range(self.lookup_depth): found_domain = None if self.memcache: memcache_key = ''.join(['cname-', a_domain]) found_domain = self.memcache.get(memcache_key) if not found_domain: ttl, found_domain = lookup_cname(a_domain) if self.memcache: memcache_key = ''.join(['cname-', given_domain]) self.memcache.set(memcache_key, found_domain, time=ttl) if found_domain is None or found_domain == a_domain: # no CNAME records or we're at the last lookup error = True found_domain = None break elif self._domain_endswith_in_storage_domain(found_domain): # Found it! self.logger.info( _('Mapped %(given_domain)s to %(found_domain)s') % {'given_domain': given_domain, 'found_domain': found_domain}) if port: env['HTTP_HOST'] = ':'.join([found_domain, port]) else: env['HTTP_HOST'] = found_domain error = False break else: # try one more deep in the chain self.logger.debug( _('Following CNAME chain for ' '%(given_domain)s to %(found_domain)s') % {'given_domain': given_domain, 'found_domain': found_domain}) a_domain = found_domain if error: if found_domain: msg = 'CNAME lookup failed after %d tries' % \ self.lookup_depth else: msg = 'CNAME lookup failed to resolve to a valid domain' resp = HTTPBadRequest(request=Request(env), body=msg, content_type='text/plain') return resp(env, start_response) return self.app(env, start_response) def filter_factory(global_conf, **local_conf): # pragma: no cover conf = global_conf.copy() conf.update(local_conf) def cname_filter(app): return CNAMELookupMiddleware(app, conf) return cname_filter

apache-2.0

tzewangdorje/SIPserv

Twisted-13.1.0/twisted/test/test_hook.py

41

4250

# Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ Test cases for twisted.hook module. """ from twisted.python import hook from twisted.trial import unittest class BaseClass: """ dummy class to help in testing. """ def __init__(self): """ dummy initializer """ self.calledBasePre = 0 self.calledBasePost = 0 self.calledBase = 0 def func(self, a, b): """ dummy method """ assert a == 1 assert b == 2 self.calledBase = self.calledBase + 1 class SubClass(BaseClass): """ another dummy class """ def __init__(self): """ another dummy initializer """ BaseClass.__init__(self) self.calledSubPre = 0 self.calledSubPost = 0 self.calledSub = 0 def func(self, a, b): """ another dummy function """ assert a == 1 assert b == 2 BaseClass.func(self, a, b) self.calledSub = self.calledSub + 1 _clean_BaseClass = BaseClass.__dict__.copy() _clean_SubClass = SubClass.__dict__.copy() def basePre(base, a, b): """ a pre-hook for the base class """ base.calledBasePre = base.calledBasePre + 1 def basePost(base, a, b): """ a post-hook for the base class """ base.calledBasePost = base.calledBasePost + 1 def subPre(sub, a, b): """ a pre-hook for the subclass """ sub.calledSubPre = sub.calledSubPre + 1 def subPost(sub, a, b): """ a post-hook for the subclass """ sub.calledSubPost = sub.calledSubPost + 1 class HookTestCase(unittest.TestCase): """ test case to make sure hooks are called """ def setUp(self): """Make sure we have clean versions of our classes.""" BaseClass.__dict__.clear() BaseClass.__dict__.update(_clean_BaseClass) SubClass.__dict__.clear() SubClass.__dict__.update(_clean_SubClass) def testBaseHook(self): """make sure that the base class's hook is called reliably """ base = BaseClass() self.assertEqual(base.calledBase, 0) self.assertEqual(base.calledBasePre, 0) base.func(1,2) self.assertEqual(base.calledBase, 1) self.assertEqual(base.calledBasePre, 0) hook.addPre(BaseClass, "func", basePre) base.func(1, b=2) self.assertEqual(base.calledBase, 2) self.assertEqual(base.calledBasePre, 1) hook.addPost(BaseClass, "func", basePost) base.func(1, b=2) self.assertEqual(base.calledBasePost, 1) self.assertEqual(base.calledBase, 3) self.assertEqual(base.calledBasePre, 2) hook.removePre(BaseClass, "func", basePre) hook.removePost(BaseClass, "func", basePost) base.func(1, b=2) self.assertEqual(base.calledBasePost, 1) self.assertEqual(base.calledBase, 4) self.assertEqual(base.calledBasePre, 2) def testSubHook(self): """test interactions between base-class hooks and subclass hooks """ sub = SubClass() self.assertEqual(sub.calledSub, 0) self.assertEqual(sub.calledBase, 0) sub.func(1, b=2) self.assertEqual(sub.calledSub, 1) self.assertEqual(sub.calledBase, 1) hook.addPre(SubClass, 'func', subPre) self.assertEqual(sub.calledSub, 1) self.assertEqual(sub.calledBase, 1) self.assertEqual(sub.calledSubPre, 0) self.assertEqual(sub.calledBasePre, 0) sub.func(1, b=2) self.assertEqual(sub.calledSub, 2) self.assertEqual(sub.calledBase, 2) self.assertEqual(sub.calledSubPre, 1) self.assertEqual(sub.calledBasePre, 0) # let the pain begin hook.addPre(BaseClass, 'func', basePre) BaseClass.func(sub, 1, b=2) # sub.func(1, b=2) self.assertEqual(sub.calledBase, 3) self.assertEqual(sub.calledBasePre, 1, str(sub.calledBasePre)) sub.func(1, b=2) self.assertEqual(sub.calledBasePre, 2) self.assertEqual(sub.calledBase, 4) self.assertEqual(sub.calledSubPre, 2) self.assertEqual(sub.calledSub, 3) testCases = [HookTestCase]

gpl-3.0

cursesun/scrapy

tests/test_commands.py

105

8613

import os import sys import subprocess import tempfile from time import sleep from os.path import exists, join, abspath from shutil import rmtree from tempfile import mkdtemp from twisted.trial import unittest from twisted.internet import defer from scrapy.utils.python import retry_on_eintr from scrapy.utils.test import get_testenv from scrapy.utils.testsite import SiteTest from scrapy.utils.testproc import ProcessTest class ProjectTest(unittest.TestCase): project_name = 'testproject' def setUp(self): self.temp_path = mkdtemp() self.cwd = self.temp_path self.proj_path = join(self.temp_path, self.project_name) self.proj_mod_path = join(self.proj_path, self.project_name) self.env = get_testenv() def tearDown(self): rmtree(self.temp_path) def call(self, *new_args, **kwargs): with tempfile.TemporaryFile() as out: args = (sys.executable, '-m', 'scrapy.cmdline') + new_args return subprocess.call(args, stdout=out, stderr=out, cwd=self.cwd, env=self.env, **kwargs) def proc(self, *new_args, **kwargs): args = (sys.executable, '-m', 'scrapy.cmdline') + new_args p = subprocess.Popen(args, cwd=self.cwd, env=self.env, stdout=subprocess.PIPE, stderr=subprocess.PIPE, **kwargs) waited = 0 interval = 0.2 while p.poll() is None: sleep(interval) waited += interval if waited > 15: p.kill() assert False, 'Command took too much time to complete' return p class StartprojectTest(ProjectTest): def test_startproject(self): self.assertEqual(0, self.call('startproject', self.project_name)) assert exists(join(self.proj_path, 'scrapy.cfg')) assert exists(join(self.proj_path, 'testproject')) assert exists(join(self.proj_mod_path, '__init__.py')) assert exists(join(self.proj_mod_path, 'items.py')) assert exists(join(self.proj_mod_path, 'pipelines.py')) assert exists(join(self.proj_mod_path, 'settings.py')) assert exists(join(self.proj_mod_path, 'spiders', '__init__.py')) self.assertEqual(1, self.call('startproject', self.project_name)) self.assertEqual(1, self.call('startproject', 'wrong---project---name')) self.assertEqual(1, self.call('startproject', 'sys')) class CommandTest(ProjectTest): def setUp(self): super(CommandTest, self).setUp() self.call('startproject', self.project_name) self.cwd = join(self.temp_path, self.project_name) self.env['SCRAPY_SETTINGS_MODULE'] = '%s.settings' % self.project_name class GenspiderCommandTest(CommandTest): def test_arguments(self): # only pass one argument. spider script shouldn't be created self.assertEqual(2, self.call('genspider', 'test_name')) assert not exists(join(self.proj_mod_path, 'spiders', 'test_name.py')) # pass two arguments <name> <domain>. spider script should be created self.assertEqual(0, self.call('genspider', 'test_name', 'test.com')) assert exists(join(self.proj_mod_path, 'spiders', 'test_name.py')) def test_template(self, tplname='crawl'): args = ['--template=%s' % tplname] if tplname else [] spname = 'test_spider' p = self.proc('genspider', spname, 'test.com', *args) out = retry_on_eintr(p.stdout.read) self.assertIn("Created spider %r using template %r in module" % (spname, tplname), out) self.assertTrue(exists(join(self.proj_mod_path, 'spiders', 'test_spider.py'))) p = self.proc('genspider', spname, 'test.com', *args) out = retry_on_eintr(p.stdout.read) self.assertIn("Spider %r already exists in module" % spname, out) def test_template_basic(self): self.test_template('basic') def test_template_csvfeed(self): self.test_template('csvfeed') def test_template_xmlfeed(self): self.test_template('xmlfeed') def test_list(self): self.assertEqual(0, self.call('genspider', '--list')) def test_dump(self): self.assertEqual(0, self.call('genspider', '--dump=basic')) self.assertEqual(0, self.call('genspider', '-d', 'basic')) def test_same_name_as_project(self): self.assertEqual(2, self.call('genspider', self.project_name)) assert not exists(join(self.proj_mod_path, 'spiders', '%s.py' % self.project_name)) class MiscCommandsTest(CommandTest): def test_list(self): self.assertEqual(0, self.call('list')) class RunSpiderCommandTest(CommandTest): def test_runspider(self): tmpdir = self.mktemp() os.mkdir(tmpdir) fname = abspath(join(tmpdir, 'myspider.py')) with open(fname, 'w') as f: f.write(""" import scrapy class MySpider(scrapy.Spider): name = 'myspider' def start_requests(self): self.logger.debug("It Works!") return [] """) p = self.proc('runspider', fname) log = p.stderr.read() self.assertIn("DEBUG: It Works!", log) self.assertIn("INFO: Spider opened", log) self.assertIn("INFO: Closing spider (finished)", log) self.assertIn("INFO: Spider closed (finished)", log) def test_runspider_no_spider_found(self): tmpdir = self.mktemp() os.mkdir(tmpdir) fname = abspath(join(tmpdir, 'myspider.py')) with open(fname, 'w') as f: f.write(""" from scrapy.spiders import Spider """) p = self.proc('runspider', fname) log = p.stderr.read() self.assertIn("No spider found in file", log) def test_runspider_file_not_found(self): p = self.proc('runspider', 'some_non_existent_file') log = p.stderr.read() self.assertIn("File not found: some_non_existent_file", log) def test_runspider_unable_to_load(self): tmpdir = self.mktemp() os.mkdir(tmpdir) fname = abspath(join(tmpdir, 'myspider.txt')) with open(fname, 'w') as f: f.write("") p = self.proc('runspider', fname) log = p.stderr.read() self.assertIn("Unable to load", log) class ParseCommandTest(ProcessTest, SiteTest, CommandTest): command = 'parse' def setUp(self): super(ParseCommandTest, self).setUp() self.spider_name = 'parse_spider' fname = abspath(join(self.proj_mod_path, 'spiders', 'myspider.py')) with open(fname, 'w') as f: f.write(""" import scrapy class MySpider(scrapy.Spider): name = '{0}' def parse(self, response): if getattr(self, 'test_arg', None): self.logger.debug('It Works!') return [scrapy.Item(), dict(foo='bar')] """.format(self.spider_name)) fname = abspath(join(self.proj_mod_path, 'pipelines.py')) with open(fname, 'w') as f: f.write(""" import logging class MyPipeline(object): component_name = 'my_pipeline' def process_item(self, item, spider): logging.info('It Works!') return item """) fname = abspath(join(self.proj_mod_path, 'settings.py')) with open(fname, 'a') as f: f.write(""" ITEM_PIPELINES = {'%s.pipelines.MyPipeline': 1} """ % self.project_name) @defer.inlineCallbacks def test_spider_arguments(self): _, _, stderr = yield self.execute(['--spider', self.spider_name, '-a', 'test_arg=1', '-c', 'parse', self.url('/html')]) self.assertIn("DEBUG: It Works!", stderr) @defer.inlineCallbacks def test_pipelines(self): _, _, stderr = yield self.execute(['--spider', self.spider_name, '--pipelines', '-c', 'parse', self.url('/html')]) self.assertIn("INFO: It Works!", stderr) @defer.inlineCallbacks def test_parse_items(self): status, out, stderr = yield self.execute( ['--spider', self.spider_name, '-c', 'parse', self.url('/html')] ) self.assertIn("""[{}, {'foo': 'bar'}]""", out) class BenchCommandTest(CommandTest): def test_run(self): p = self.proc('bench', '-s', 'LOGSTATS_INTERVAL=0.001', '-s', 'CLOSESPIDER_TIMEOUT=0.01') log = p.stderr.read() self.assertIn('INFO: Crawled', log)

bsd-3-clause

xyguo/scikit-learn

examples/svm/plot_svm_nonlinear.py

268

1091

""" ============== Non-linear SVM ============== Perform binary classification using non-linear SVC with RBF kernel. The target to predict is a XOR of the inputs. The color map illustrates the decision function learned by the SVC. """ print(__doc__) import numpy as np import matplotlib.pyplot as plt from sklearn import svm xx, yy = np.meshgrid(np.linspace(-3, 3, 500), np.linspace(-3, 3, 500)) np.random.seed(0) X = np.random.randn(300, 2) Y = np.logical_xor(X[:, 0] > 0, X[:, 1] > 0) # fit the model clf = svm.NuSVC() clf.fit(X, Y) # plot the decision function for each datapoint on the grid Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()]) Z = Z.reshape(xx.shape) plt.imshow(Z, interpolation='nearest', extent=(xx.min(), xx.max(), yy.min(), yy.max()), aspect='auto', origin='lower', cmap=plt.cm.PuOr_r) contours = plt.contour(xx, yy, Z, levels=[0], linewidths=2, linetypes='--') plt.scatter(X[:, 0], X[:, 1], s=30, c=Y, cmap=plt.cm.Paired) plt.xticks(()) plt.yticks(()) plt.axis([-3, 3, -3, 3]) plt.show()

bsd-3-clause

dbremner/bite-project

deps/gdata-python-client/src/gdata/blogger/data.py

61

4551

#!/usr/bin/env python # # Copyright (C) 2009 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Data model classes for parsing and generating XML for the Blogger API.""" __author__ = 'j.s@google.com (Jeff Scudder)' import re import urlparse import atom.core import gdata.data LABEL_SCHEME = 'http://www.blogger.com/atom/ns#' THR_TEMPLATE = '{http://purl.org/syndication/thread/1.0}%s' BLOG_NAME_PATTERN = re.compile('(http://)(\w*)') BLOG_ID_PATTERN = re.compile('(tag:blogger.com,1999:blog-)(\w*)') BLOG_ID2_PATTERN = re.compile('tag:blogger.com,1999:user-(\d+)\.blog-(\d+)') POST_ID_PATTERN = re.compile( '(tag:blogger.com,1999:blog-)(\w*)(.post-)(\w*)') PAGE_ID_PATTERN = re.compile( '(tag:blogger.com,1999:blog-)(\w*)(.page-)(\w*)') COMMENT_ID_PATTERN = re.compile('.*-(\w*)$') class BloggerEntry(gdata.data.GDEntry): """Adds convenience methods inherited by all Blogger entries.""" def get_blog_id(self): """Extracts the Blogger id of this blog. This method is useful when contructing URLs by hand. The blog id is often used in blogger operation URLs. This should not be confused with the id member of a BloggerBlog. The id element is the Atom id XML element. The blog id which this method returns is a part of the Atom id. Returns: The blog's unique id as a string. """ if self.id.text: match = BLOG_ID_PATTERN.match(self.id.text) if match: return match.group(2) else: return BLOG_ID2_PATTERN.match(self.id.text).group(2) return None GetBlogId = get_blog_id def get_blog_name(self): """Finds the name of this blog as used in the 'alternate' URL. An alternate URL is in the form 'http://blogName.blogspot.com/'. For an entry representing the above example, this method would return 'blogName'. Returns: The blog's URL name component as a string. """ for link in self.link: if link.rel == 'alternate': return urlparse.urlparse(link.href)[1].split(".", 1)[0] return None GetBlogName = get_blog_name class Blog(BloggerEntry): """Represents a blog which belongs to the user.""" class BlogFeed(gdata.data.GDFeed): entry = [Blog] class BlogPost(BloggerEntry): """Represents a single post on a blog.""" def add_label(self, label): """Adds a label to the blog post. The label is represented by an Atom category element, so this method is shorthand for appending a new atom.Category object. Args: label: str """ self.category.append(atom.data.Category(scheme=LABEL_SCHEME, term=label)) AddLabel = add_label def get_post_id(self): """Extracts the postID string from the entry's Atom id. Returns: A string of digits which identify this post within the blog. """ if self.id.text: return POST_ID_PATTERN.match(self.id.text).group(4) return None GetPostId = get_post_id class BlogPostFeed(gdata.data.GDFeed): entry = [BlogPost] class BlogPage(BloggerEntry): """Represents a single page on a blog.""" def get_page_id(self): """Extracts the pageID string from entry's Atom id. Returns: A string of digits which identify this post within the blog. """ if self.id.text: return PAGE_ID_PATTERN.match(self.id.text).group(4) return None GetPageId = get_page_id class BlogPageFeed(gdata.data.GDFeed): entry = [BlogPage] class InReplyTo(atom.core.XmlElement): _qname = THR_TEMPLATE % 'in-reply-to' href = 'href' ref = 'ref' source = 'source' type = 'type' class Comment(BloggerEntry): """Blog post comment entry in a feed listing comments on a post or blog.""" in_reply_to = InReplyTo def get_comment_id(self): """Extracts the commentID string from the entry's Atom id. Returns: A string of digits which identify this post within the blog. """ if self.id.text: return COMMENT_ID_PATTERN.match(self.id.text).group(1) return None GetCommentId = get_comment_id class CommentFeed(gdata.data.GDFeed): entry = [Comment]

apache-2.0

qenter/vlc-android

toolchains/arm/lib/python2.7/test/test_descrtut.py

75

12052

# This contains most of the executable examples from Guido's descr # tutorial, once at # # http://www.python.org/2.2/descrintro.html # # A few examples left implicit in the writeup were fleshed out, a few were # skipped due to lack of interest (e.g., faking super() by hand isn't # of much interest anymore), and a few were fiddled to make the output # deterministic. from test.test_support import sortdict import pprint class defaultdict(dict): def __init__(self, default=None): dict.__init__(self) self.default = default def __getitem__(self, key): try: return dict.__getitem__(self, key) except KeyError: return self.default def get(self, key, *args): if not args: args = (self.default,) return dict.get(self, key, *args) def merge(self, other): for key in other: if key not in self: self[key] = other[key] test_1 = """ Here's the new type at work: >>> print defaultdict # show our type <class 'test.test_descrtut.defaultdict'> >>> print type(defaultdict) # its metatype <type 'type'> >>> a = defaultdict(default=0.0) # create an instance >>> print a # show the instance {} >>> print type(a) # show its type <class 'test.test_descrtut.defaultdict'> >>> print a.__class__ # show its class <class 'test.test_descrtut.defaultdict'> >>> print type(a) is a.__class__ # its type is its class True >>> a[1] = 3.25 # modify the instance >>> print a # show the new value {1: 3.25} >>> print a[1] # show the new item 3.25 >>> print a[0] # a non-existent item 0.0 >>> a.merge({1:100, 2:200}) # use a dict method >>> print sortdict(a) # show the result {1: 3.25, 2: 200} >>> We can also use the new type in contexts where classic only allows "real" dictionaries, such as the locals/globals dictionaries for the exec statement or the built-in function eval(): >>> def sorted(seq): ... seq.sort(key=str) ... return seq >>> print sorted(a.keys()) [1, 2] >>> exec "x = 3; print x" in a 3 >>> print sorted(a.keys()) [1, 2, '__builtins__', 'x'] >>> print a['x'] 3 >>> Now I'll show that defaultdict instances have dynamic instance variables, just like classic classes: >>> a.default = -1 >>> print a["noway"] -1 >>> a.default = -1000 >>> print a["noway"] -1000 >>> 'default' in dir(a) True >>> a.x1 = 100 >>> a.x2 = 200 >>> print a.x1 100 >>> d = dir(a) >>> 'default' in d and 'x1' in d and 'x2' in d True >>> print sortdict(a.__dict__) {'default': -1000, 'x1': 100, 'x2': 200} >>> """ class defaultdict2(dict): __slots__ = ['default'] def __init__(self, default=None): dict.__init__(self) self.default = default def __getitem__(self, key): try: return dict.__getitem__(self, key) except KeyError: return self.default def get(self, key, *args): if not args: args = (self.default,) return dict.get(self, key, *args) def merge(self, other): for key in other: if key not in self: self[key] = other[key] test_2 = """ The __slots__ declaration takes a list of instance variables, and reserves space for exactly these in the instance. When __slots__ is used, other instance variables cannot be assigned to: >>> a = defaultdict2(default=0.0) >>> a[1] 0.0 >>> a.default = -1 >>> a[1] -1 >>> a.x1 = 1 Traceback (most recent call last): File "<stdin>", line 1, in ? AttributeError: 'defaultdict2' object has no attribute 'x1' >>> """ test_3 = """ Introspecting instances of built-in types For instance of built-in types, x.__class__ is now the same as type(x): >>> type([]) <type 'list'> >>> [].__class__ <type 'list'> >>> list <type 'list'> >>> isinstance([], list) True >>> isinstance([], dict) False >>> isinstance([], object) True >>> Under the new proposal, the __methods__ attribute no longer exists: >>> [].__methods__ Traceback (most recent call last): File "<stdin>", line 1, in ? AttributeError: 'list' object has no attribute '__methods__' >>> Instead, you can get the same information from the list type: >>> pprint.pprint(dir(list)) # like list.__dict__.keys(), but sorted ['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', '__delslice__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getslice__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__setslice__', '__sizeof__', '__str__', '__subclasshook__', 'append', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse', 'sort'] The new introspection API gives more information than the old one: in addition to the regular methods, it also shows the methods that are normally invoked through special notations, e.g. __iadd__ (+=), __len__ (len), __ne__ (!=). You can invoke any method from this list directly: >>> a = ['tic', 'tac'] >>> list.__len__(a) # same as len(a) 2 >>> a.__len__() # ditto 2 >>> list.append(a, 'toe') # same as a.append('toe') >>> a ['tic', 'tac', 'toe'] >>> This is just like it is for user-defined classes. """ test_4 = """ Static methods and class methods The new introspection API makes it possible to add static methods and class methods. Static methods are easy to describe: they behave pretty much like static methods in C++ or Java. Here's an example: >>> class C: ... ... @staticmethod ... def foo(x, y): ... print "staticmethod", x, y >>> C.foo(1, 2) staticmethod 1 2 >>> c = C() >>> c.foo(1, 2) staticmethod 1 2 Class methods use a similar pattern to declare methods that receive an implicit first argument that is the *class* for which they are invoked. >>> class C: ... @classmethod ... def foo(cls, y): ... print "classmethod", cls, y >>> C.foo(1) classmethod test.test_descrtut.C 1 >>> c = C() >>> c.foo(1) classmethod test.test_descrtut.C 1 >>> class D(C): ... pass >>> D.foo(1) classmethod test.test_descrtut.D 1 >>> d = D() >>> d.foo(1) classmethod test.test_descrtut.D 1 This prints "classmethod __main__.D 1" both times; in other words, the class passed as the first argument of foo() is the class involved in the call, not the class involved in the definition of foo(). But notice this: >>> class E(C): ... @classmethod ... def foo(cls, y): # override C.foo ... print "E.foo() called" ... C.foo(y) >>> E.foo(1) E.foo() called classmethod test.test_descrtut.C 1 >>> e = E() >>> e.foo(1) E.foo() called classmethod test.test_descrtut.C 1 In this example, the call to C.foo() from E.foo() will see class C as its first argument, not class E. This is to be expected, since the call specifies the class C. But it stresses the difference between these class methods and methods defined in metaclasses (where an upcall to a metamethod would pass the target class as an explicit first argument). """ test_5 = """ Attributes defined by get/set methods >>> class property(object): ... ... def __init__(self, get, set=None): ... self.__get = get ... self.__set = set ... ... def __get__(self, inst, type=None): ... return self.__get(inst) ... ... def __set__(self, inst, value): ... if self.__set is None: ... raise AttributeError, "this attribute is read-only" ... return self.__set(inst, value) Now let's define a class with an attribute x defined by a pair of methods, getx() and setx(): >>> class C(object): ... ... def __init__(self): ... self.__x = 0 ... ... def getx(self): ... return self.__x ... ... def setx(self, x): ... if x < 0: x = 0 ... self.__x = x ... ... x = property(getx, setx) Here's a small demonstration: >>> a = C() >>> a.x = 10 >>> print a.x 10 >>> a.x = -10 >>> print a.x 0 >>> Hmm -- property is builtin now, so let's try it that way too. >>> del property # unmask the builtin >>> property <type 'property'> >>> class C(object): ... def __init__(self): ... self.__x = 0 ... def getx(self): ... return self.__x ... def setx(self, x): ... if x < 0: x = 0 ... self.__x = x ... x = property(getx, setx) >>> a = C() >>> a.x = 10 >>> print a.x 10 >>> a.x = -10 >>> print a.x 0 >>> """ test_6 = """ Method resolution order This example is implicit in the writeup. >>> class A: # classic class ... def save(self): ... print "called A.save()" >>> class B(A): ... pass >>> class C(A): ... def save(self): ... print "called C.save()" >>> class D(B, C): ... pass >>> D().save() called A.save() >>> class A(object): # new class ... def save(self): ... print "called A.save()" >>> class B(A): ... pass >>> class C(A): ... def save(self): ... print "called C.save()" >>> class D(B, C): ... pass >>> D().save() called C.save() """ class A(object): def m(self): return "A" class B(A): def m(self): return "B" + super(B, self).m() class C(A): def m(self): return "C" + super(C, self).m() class D(C, B): def m(self): return "D" + super(D, self).m() test_7 = """ Cooperative methods and "super" >>> print D().m() # "DCBA" DCBA """ test_8 = """ Backwards incompatibilities >>> class A: ... def foo(self): ... print "called A.foo()" >>> class B(A): ... pass >>> class C(A): ... def foo(self): ... B.foo(self) >>> C().foo() Traceback (most recent call last): ... TypeError: unbound method foo() must be called with B instance as first argument (got C instance instead) >>> class C(A): ... def foo(self): ... A.foo(self) >>> C().foo() called A.foo() """ __test__ = {"tut1": test_1, "tut2": test_2, "tut3": test_3, "tut4": test_4, "tut5": test_5, "tut6": test_6, "tut7": test_7, "tut8": test_8} # Magic test name that regrtest.py invokes *after* importing this module. # This worms around a bootstrap problem. # Note that doctest and regrtest both look in sys.argv for a "-v" argument, # so this works as expected in both ways of running regrtest. def test_main(verbose=None): # Obscure: import this module as test.test_descrtut instead of as # plain test_descrtut because the name of this module works its way # into the doctest examples, and unless the full test.test_descrtut # business is used the name can change depending on how the test is # invoked. from test import test_support, test_descrtut test_support.run_doctest(test_descrtut, verbose) # This part isn't needed for regrtest, but for running the test directly. if __name__ == "__main__": test_main(1)

gpl-2.0

xxhank/namebench

nb_third_party/jinja2/meta.py

406

4144

# -*- coding: utf-8 -*- """ jinja2.meta ~~~~~~~~~~~ This module implements various functions that exposes information about templates that might be interesting for various kinds of applications. :copyright: (c) 2010 by the Jinja Team, see AUTHORS for more details. :license: BSD, see LICENSE for more details. """ from jinja2 import nodes from jinja2.compiler import CodeGenerator class TrackingCodeGenerator(CodeGenerator): """We abuse the code generator for introspection.""" def __init__(self, environment): CodeGenerator.__init__(self, environment, '<introspection>', '<introspection>') self.undeclared_identifiers = set() def write(self, x): """Don't write.""" def pull_locals(self, frame): """Remember all undeclared identifiers.""" self.undeclared_identifiers.update(frame.identifiers.undeclared) def find_undeclared_variables(ast): """Returns a set of all variables in the AST that will be looked up from the context at runtime. Because at compile time it's not known which variables will be used depending on the path the execution takes at runtime, all variables are returned. >>> from jinja2 import Environment, meta >>> env = Environment() >>> ast = env.parse('{% set foo = 42 %}{{ bar + foo }}') >>> meta.find_undeclared_variables(ast) set(['bar']) .. admonition:: Implementation Internally the code generator is used for finding undeclared variables. This is good to know because the code generator might raise a :exc:`TemplateAssertionError` during compilation and as a matter of fact this function can currently raise that exception as well. """ codegen = TrackingCodeGenerator(ast.environment) codegen.visit(ast) return codegen.undeclared_identifiers def find_referenced_templates(ast): """Finds all the referenced templates from the AST. This will return an iterator over all the hardcoded template extensions, inclusions and imports. If dynamic inheritance or inclusion is used, `None` will be yielded. >>> from jinja2 import Environment, meta >>> env = Environment() >>> ast = env.parse('{% extends "layout.html" %}{% include helper %}') >>> list(meta.find_referenced_templates(ast)) ['layout.html', None] This function is useful for dependency tracking. For example if you want to rebuild parts of the website after a layout template has changed. """ for node in ast.find_all((nodes.Extends, nodes.FromImport, nodes.Import, nodes.Include)): if not isinstance(node.template, nodes.Const): # a tuple with some non consts in there if isinstance(node.template, (nodes.Tuple, nodes.List)): for template_name in node.template.items: # something const, only yield the strings and ignore # non-string consts that really just make no sense if isinstance(template_name, nodes.Const): if isinstance(template_name.value, basestring): yield template_name.value # something dynamic in there else: yield None # something dynamic we don't know about here else: yield None continue # constant is a basestring, direct template name if isinstance(node.template.value, basestring): yield node.template.value # a tuple or list (latter *should* not happen) made of consts, # yield the consts that are strings. We could warn here for # non string values elif isinstance(node, nodes.Include) and \ isinstance(node.template.value, (tuple, list)): for template_name in node.template.value: if isinstance(template_name, basestring): yield template_name # something else we don't care about, we could warn here else: yield None

apache-2.0

Luxoft/Twister

binaries/GitPlugin/Git/GITPlugin.py

3

9694

# version: 2.006 import os, sys import shutil import time import pexpect from BasePlugin import BasePlugin # class Plugin(BasePlugin): """ GIT Plugin has a few parameters: - server complete path - branch used for clone - user and password to connect to server - snapshot folder, where all data is cloned If command is Snapshot, execute a GIT clone; if the Snapshot folder is already present, delete it, then GIT clone. If command is Update and Overwrite is false, execute a GIT checkout and GIT pull on the specified branch; if Overwrite is true, delete the folder, then GIT clone for the specified branch. """ def run(self, args): src = self.data.get('server') dst = self.data.get('snapshot') if not args.get('command'): return '*ERROR* Must specify a command like `snapshot` or `update` !' if args['command'] == ['snapshot']: return self.execCheckout(src, dst, 'clone', overwrite=True) elif args['command'] == ['update'] and args['overwrite'] == ['false']: return self.execCheckout(src, dst, 'pull', overwrite=False) elif args['command'] == ['update'] and args['overwrite'] == ['true']: return self.execCheckout(src, dst, 'pull', overwrite=True) elif args['command'] == ['delete']: return self.execCheckout('', '', '', overwrite=True) else: return 'Invalid command: `{} & {}`!'.format(args['command'], args['overwrite']) def execCheckout(self, src, dst, command, overwrite=False): usr = self.data['username'] pwd = self.data['password'] child = pexpect.spawn(['bash']) child.logfile = sys.stdout child.sendline('su {}'.format(self.user)) try: child.expect('.*$') except Exception as e: print 'Error: Unable to switch to user {}'.format(self.user) return 'Error on switching to user {usr}'.format(usr=self.user) time.sleep(1) child.sendline('cd') try: child.expect('.*') except Exception as e: print 'Error: Unable to navigate to the user\'s {} home folder.'.format(self.user) return 'Error on navigating to user\'s {usr} home folder.'.format(usr=self.user) time.sleep(1) if not src: return '*ERROR* Git source folder is NULL !' if '//' not in src: return '*ERROR* Git source folder `{}` is invalid !'.format(src) if not dst: return '*ERROR* Git destination folder is NULL !' src = src.replace('//', '//{}@'.format(usr)) branch = self.data['branch'] if not branch: return 'You must specify a branch for snapshot/update!' # Normal Git clone operation if command == 'clone' or (command == 'pull' and overwrite): if overwrite and os.path.exists(dst): print 'GIT Plugin: Deleting folder `{}` ...'.format(dst) shutil.rmtree(dst, ignore_errors=True) to_exec = 'git clone -b {branch} {src} {dst}'.format(branch=branch, src=src, dst=dst) print('GIT Plugin: Exec `{}` .'.format(to_exec.strip())) child.sendline(to_exec.strip()) try: i = child.expect(['.*password:','Are you sure.*','Permission denied'], 10) if i == 0 and pwd: child.sendline(pwd) elif i == 1 and pwd: child.sendline('yes') time.sleep(1) try: child.expect('.*password:') except Exception as e: return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format( cmd=command, src=src, dst=dst, e=e) time.sleep(1) child.sendline(pwd) elif i == 2: print 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format( cmd=command, src=src, dst=dst, e='Permission denied!') return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format( cmd=command, src=src, dst=dst, e='Permission denied!') except Exception as e: return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format( cmd=command, src=src, dst=dst, e=e) time.sleep(1) try: i = child.expect(['Resolving deltas.*done\.', 'fatal: The remote end hung up unexpectedly', 'Permission denied', 'Could not read from remote repository'], None) if i == 1: # fatal: Remote branch branch_name not found in upstream origin print 'Error on calling GIT clone: {} do not exist.'.format(branch) return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)! Branch {br} do not exist!'.format( cmd=command, src=src, dst=dst,br=branch) elif i == 2: # that password is incorrect print 'Error on calling GIT clone: Incorrect username or password for GIT repository.' return 'Error on calling GIT clone: Incorrect username or password for GIT repository.' elif i == 3: # the path to the repository is incorrect print 'Error on calling GIT clone: Incorrect path for GIT repository.' return 'Error on calling GIT clone: Incorrect path for GIT repository.' except Exception as e: return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e) child.sendline('\n\n') time.sleep(1) print('-'*40) # Git pull operation elif command == 'pull': if not os.path.exists(dst): return 'Error: path `{}` does not exist!'.format(dst) child.sendline('cd {}'.format(dst)) try: i = child.expect(['Permission denied', 'No such file or directory', '{}'.format(dst)]) if i == 0: return 'Error: cannot enter in directory: {}. Permission denied!'.format(dst) elif i == 1: return 'Error: cannot enter in directory: {}. No such file or directory!'.format(dst) except Exception as e: print 'Error: cannot enter in directory: {}'.format(dst) return 'Error: cannot enter indirectory: `{dst}`!\n{e}'.format(dst=dst, e=e) time.sleep(1) to_exec = 'git checkout {}'.format(branch) print('GIT Plugin: Exec `{}` .'.format(to_exec.strip())) child.sendline(to_exec.strip()) time.sleep(1) try: i = child.expect(['Switched to.*', 'Your branch is up-to-date with', 'error', 'Not a git repository', 'Already on.*'], 30) if i == 2: # error: pathspec branch_name did not match any file(s) known to git. # the specified branch does not exist on the repository print 'Error on calling GIT checkout: branch {} do not exist.'.format(branch) return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)!\n\ Branch `{br}` does not exist!'.format(cmd=command, src=src, dst=dst, br=branch) elif i == 3: # fatal: Not a git repository (or any of the parent directories): .git # Trying to make a checkout without making a clone first print 'Error on calling GIT checkout: repository {} does not exist.'.format(branch) return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`)!\n\ Make a snapshot before doing an update!'.format(cmd=command, src=src, dst=dst, br=branch) except Exception as e: print 'Error on calling {}. Got unexpected response from GIT.'.format(to_exec) return 'Error on calling GIT {cmd} (from `{src}` to `{dst}`): `{e}`!'.format( cmd=command, src=src, dst=dst, e=e) time.sleep(1) child.sendline('git pull -f') try: child.expect('.*password:') except Exception as e: print 'Error after calling GIT pull -f' return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e) time.sleep(1) child.sendline(pwd) time.sleep(1) try: i = child.expect(['up-to-date', 'files changed', 'Permission denied'], 120) if i == 2: print 'Error on calling GIT pull: Incorrect password' return 'Error on calling GIT pull: Incorrect password' except Exception as e: return 'Error after calling GIT {cmd}: `{e}`!'.format(cmd=command, e=e) child.sendline('\n\n') time.sleep(1) print('-'*40) else: return '*ERROR* Unknown plugin command `{}`!'.format(command) return 'true' #

apache-2.0

topix-hackademy/social-listener

application/twitter/tweets/collector.py

1

3236

from application.mongo import Connection from application.twitter.interface import TwitterInterface from application.twitter.tweets.fetcher import TweetsFetcher from application.processmanager import ProcessManager from application.utils.helpers import what_time_is_it import logging class TweetCollector(TwitterInterface): def __init__(self, user, *args, **kwargs): """ Twitter Collector. This class is used for retrieve tweets from a specific user """ super(TweetCollector, self).__init__(*args, **kwargs) self.user = user self.process_name = "Tweets Collector: <%s>" % user self.fetcherInstance = TweetsFetcher(self.auth, self.user, self.process_name) def __str__(self): """ String representation :return: """ return "Tweet Collector for user <{user}>".format(user=self.user) def start(self, process_manager): """ Start async job for user's tweets :param process_manager: Process manager instance :return: """ try: process_manager.create_process(target=self.fetcher, name=self.process_name, ptype='twitter_collector') except Exception: raise Exception('Error Creating new Process') def fetcher(self): """ Tweets loader :return: """ for page in self.fetcherInstance.get_tweets(): for tweet in page: try: if not Connection.Instance().db.twitter.find_one({'user': tweet.user.screen_name, 'source': 'collector', 'data.id': tweet.id}): Connection.Instance().db.twitter.insert_one({ 'source': 'collector', 'data': { 'created_at': tweet.created_at, 'favorite_count': tweet.favorite_count, 'geo': tweet.geo, 'id': tweet.id, 'source': tweet.source, 'in_reply_to_screen_name': tweet.in_reply_to_screen_name, 'in_reply_to_status_id': tweet.in_reply_to_status_id, 'in_reply_to_user_id': tweet.in_reply_to_user_id, 'retweet_count': tweet.retweet_count, 'retweeted': tweet.retweeted, 'text': tweet.text, 'entities': tweet.entities }, 'user': tweet.user.screen_name, 'created': what_time_is_it() }) except Exception as genericException: logging.error("MongoDB Insert Error in collector: %s" % genericException) import multiprocessing ProcessManager.terminate_process(multiprocessing.current_process().pid, True)

mit

bristy/login_app_flask

env/lib/python2.7/site-packages/pip/pep425tags.py

469

2969

"""Generate and work with PEP 425 Compatibility Tags.""" import sys import warnings try: import sysconfig except ImportError: # pragma nocover # Python < 2.7 import distutils.sysconfig as sysconfig import distutils.util def get_abbr_impl(): """Return abbreviated implementation name.""" if hasattr(sys, 'pypy_version_info'): pyimpl = 'pp' elif sys.platform.startswith('java'): pyimpl = 'jy' elif sys.platform == 'cli': pyimpl = 'ip' else: pyimpl = 'cp' return pyimpl def get_impl_ver(): """Return implementation version.""" return ''.join(map(str, sys.version_info[:2])) def get_platform(): """Return our platform name 'win32', 'linux_x86_64'""" # XXX remove distutils dependency return distutils.util.get_platform().replace('.', '_').replace('-', '_') def get_supported(versions=None, noarch=False): """Return a list of supported tags for each version specified in `versions`. :param versions: a list of string versions, of the form ["33", "32"], or None. The first version will be assumed to support our ABI. """ supported = [] # Versions must be given with respect to the preference if versions is None: versions = [] major = sys.version_info[0] # Support all previous minor Python versions. for minor in range(sys.version_info[1], -1, -1): versions.append(''.join(map(str, (major, minor)))) impl = get_abbr_impl() abis = [] try: soabi = sysconfig.get_config_var('SOABI') except IOError as e: # Issue #1074 warnings.warn("{0}".format(e), RuntimeWarning) soabi = None if soabi and soabi.startswith('cpython-'): abis[0:0] = ['cp' + soabi.split('-', 1)[-1]] abi3s = set() import imp for suffix in imp.get_suffixes(): if suffix[0].startswith('.abi'): abi3s.add(suffix[0].split('.', 2)[1]) abis.extend(sorted(list(abi3s))) abis.append('none') if not noarch: arch = get_platform() # Current version, current API (built specifically for our Python): for abi in abis: supported.append(('%s%s' % (impl, versions[0]), abi, arch)) # No abi / arch, but requires our implementation: for i, version in enumerate(versions): supported.append(('%s%s' % (impl, version), 'none', 'any')) if i == 0: # Tagged specifically as being cross-version compatible # (with just the major version specified) supported.append(('%s%s' % (impl, versions[0][0]), 'none', 'any')) # No abi / arch, generic Python for i, version in enumerate(versions): supported.append(('py%s' % (version,), 'none', 'any')) if i == 0: supported.append(('py%s' % (version[0]), 'none', 'any')) return supported supported_tags = get_supported() supported_tags_noarch = get_supported(noarch=True)

mit

Manuel4131/swampdragon

swampdragon/serializers/serializer_tools.py

9

3428

from collections import namedtuple from django.db.models.fields.related import ForeignKey, ReverseSingleRelatedObjectDescriptor, \ ManyRelatedObjectsDescriptor, ReverseManyRelatedObjectsDescriptor, ForeignRelatedObjectsDescriptor, \ SingleRelatedObjectDescriptor # from django.db.models.related import RelatedObject from django.db.models.fields.related import ForeignObjectRel from django.db.models.fields.related import ManyToManyField class FieldType(namedtuple('FieldType', 'field, model, fk, m2m')): ''' Determine if a field is an m2m, reverse m2m, fk or reverse fk ''' @property def is_m2m(self): return self.fk is False and self.m2m is True and isinstance(self.field, ForeignObjectRel) @property def is_reverse_m2m(self): return self.fk is True and self.m2m is True and isinstance(self.field, ManyToManyField) @property def is_fk(self): return self.fk is True and self.m2m is False and isinstance(self.field, ForeignKey) @property def is_reverse_fk(self): return self.fk is False and self.m2m is False and isinstance(self.field, ForeignObjectRel) def get_serializer_relationship_field(serializer, related_serializer): if isinstance(serializer, type): model = serializer().opts.model else: model = serializer.opts.model if isinstance(related_serializer, type): related_model = related_serializer().opts.model else: related_model = related_serializer.opts.model for field_name in related_model._meta.get_all_field_names(): field_type = FieldType(*related_model._meta.get_field_by_name(field_name)) field = field_type.field # Foreign key if field_type.is_fk and field.rel.to is model: return field.verbose_name # Reverse foreign key if field_type.is_reverse_fk and field.model is model: return field.var_name # M2m fields if field_type.is_m2m and field.model is model: return field.var_name # Reverse m2m field if field_type.is_reverse_m2m and field.rel.to is model: return field.attname def get_id_mappings(serializer): if not serializer.instance: return {} data = {} for field_name in serializer.opts.publish_fields: if not hasattr(serializer, field_name): continue serializable_field = serializer._get_related_serializer(field_name) if not hasattr(serializable_field, 'serialize'): continue field_type = getattr(serializer.opts.model, field_name) is_fk = isinstance(field_type, ReverseSingleRelatedObjectDescriptor) is_o2o = isinstance(field_type, SingleRelatedObjectDescriptor) is_reverse_fk = isinstance(field_type, ForeignRelatedObjectsDescriptor) is_m2m = isinstance(field_type, ManyRelatedObjectsDescriptor) is_reverse_m2m = isinstance(field_type, ReverseManyRelatedObjectsDescriptor) try: val = getattr(serializer.instance, field_name) except: continue if not val: continue if is_fk or is_o2o: data['{}'.format(field_name)] = val.pk continue if is_reverse_fk or is_m2m or is_reverse_m2m: data['{}'.format(field_name)] = list(val.all().values_list('pk', flat=True)) continue return data

bsd-3-clause

crakensio/django_training

lib/python2.7/site-packages/pygments/lexers/_mapping.py

68

36995

# -*- coding: utf-8 -*- """ pygments.lexers._mapping ~~~~~~~~~~~~~~~~~~~~~~~~ Lexer mapping defintions. This file is generated by itself. Everytime you change something on a builtin lexer defintion, run this script from the lexers folder to update it. Do not alter the LEXERS dictionary by hand. :copyright: Copyright 2006-2013 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ LEXERS = { 'ABAPLexer': ('pygments.lexers.other', 'ABAP', ('abap',), ('*.abap',), ('text/x-abap',)), 'ActionScript3Lexer': ('pygments.lexers.web', 'ActionScript 3', ('as3', 'actionscript3'), ('*.as',), ('application/x-actionscript', 'text/x-actionscript', 'text/actionscript')), 'ActionScriptLexer': ('pygments.lexers.web', 'ActionScript', ('as', 'actionscript'), ('*.as',), ('application/x-actionscript3', 'text/x-actionscript3', 'text/actionscript3')), 'AdaLexer': ('pygments.lexers.compiled', 'Ada', ('ada', 'ada95ada2005'), ('*.adb', '*.ads', '*.ada'), ('text/x-ada',)), 'AntlrActionScriptLexer': ('pygments.lexers.parsers', 'ANTLR With ActionScript Target', ('antlr-as', 'antlr-actionscript'), ('*.G', '*.g'), ()), 'AntlrCSharpLexer': ('pygments.lexers.parsers', 'ANTLR With C# Target', ('antlr-csharp', 'antlr-c#'), ('*.G', '*.g'), ()), 'AntlrCppLexer': ('pygments.lexers.parsers', 'ANTLR With CPP Target', ('antlr-cpp',), ('*.G', '*.g'), ()), 'AntlrJavaLexer': ('pygments.lexers.parsers', 'ANTLR With Java Target', ('antlr-java',), ('*.G', '*.g'), ()), 'AntlrLexer': ('pygments.lexers.parsers', 'ANTLR', ('antlr',), (), ()), 'AntlrObjectiveCLexer': ('pygments.lexers.parsers', 'ANTLR With ObjectiveC Target', ('antlr-objc',), ('*.G', '*.g'), ()), 'AntlrPerlLexer': ('pygments.lexers.parsers', 'ANTLR With Perl Target', ('antlr-perl',), ('*.G', '*.g'), ()), 'AntlrPythonLexer': ('pygments.lexers.parsers', 'ANTLR With Python Target', ('antlr-python',), ('*.G', '*.g'), ()), 'AntlrRubyLexer': ('pygments.lexers.parsers', 'ANTLR With Ruby Target', ('antlr-ruby', 'antlr-rb'), ('*.G', '*.g'), ()), 'ApacheConfLexer': ('pygments.lexers.text', 'ApacheConf', ('apacheconf', 'aconf', 'apache'), ('.htaccess', 'apache.conf', 'apache2.conf'), ('text/x-apacheconf',)), 'AppleScriptLexer': ('pygments.lexers.other', 'AppleScript', ('applescript',), ('*.applescript',), ()), 'AspectJLexer': ('pygments.lexers.jvm', 'AspectJ', ('aspectj',), ('*.aj',), ('text/x-aspectj',)), 'AsymptoteLexer': ('pygments.lexers.other', 'Asymptote', ('asy', 'asymptote'), ('*.asy',), ('text/x-asymptote',)), 'AutoItLexer': ('pygments.lexers.other', 'AutoIt', ('autoit', 'Autoit'), ('*.au3',), ('text/x-autoit',)), 'AutohotkeyLexer': ('pygments.lexers.other', 'autohotkey', ('ahk',), ('*.ahk', '*.ahkl'), ('text/x-autohotkey',)), 'AwkLexer': ('pygments.lexers.other', 'Awk', ('awk', 'gawk', 'mawk', 'nawk'), ('*.awk',), ('application/x-awk',)), 'BBCodeLexer': ('pygments.lexers.text', 'BBCode', ('bbcode',), (), ('text/x-bbcode',)), 'BaseMakefileLexer': ('pygments.lexers.text', 'Base Makefile', ('basemake',), (), ()), 'BashLexer': ('pygments.lexers.shell', 'Bash', ('bash', 'sh', 'ksh'), ('*.sh', '*.ksh', '*.bash', '*.ebuild', '*.eclass', '.bashrc', 'bashrc', '.bash_*', 'bash_*'), ('application/x-sh', 'application/x-shellscript')), 'BashSessionLexer': ('pygments.lexers.shell', 'Bash Session', ('console',), ('*.sh-session',), ('application/x-shell-session',)), 'BatchLexer': ('pygments.lexers.shell', 'Batchfile', ('bat',), ('*.bat', '*.cmd'), ('application/x-dos-batch',)), 'BefungeLexer': ('pygments.lexers.other', 'Befunge', ('befunge',), ('*.befunge',), ('application/x-befunge',)), 'BlitzMaxLexer': ('pygments.lexers.compiled', 'BlitzMax', ('blitzmax', 'bmax'), ('*.bmx',), ('text/x-bmx',)), 'BooLexer': ('pygments.lexers.dotnet', 'Boo', ('boo',), ('*.boo',), ('text/x-boo',)), 'BrainfuckLexer': ('pygments.lexers.other', 'Brainfuck', ('brainfuck', 'bf'), ('*.bf', '*.b'), ('application/x-brainfuck',)), 'BroLexer': ('pygments.lexers.other', 'Bro', ('bro',), ('*.bro',), ()), 'BugsLexer': ('pygments.lexers.math', 'BUGS', ('bugs', 'winbugs', 'openbugs'), ('*.bug',), ()), 'CLexer': ('pygments.lexers.compiled', 'C', ('c',), ('*.c', '*.h', '*.idc'), ('text/x-chdr', 'text/x-csrc')), 'CMakeLexer': ('pygments.lexers.text', 'CMake', ('cmake',), ('*.cmake', 'CMakeLists.txt'), ('text/x-cmake',)), 'CObjdumpLexer': ('pygments.lexers.asm', 'c-objdump', ('c-objdump',), ('*.c-objdump',), ('text/x-c-objdump',)), 'CSharpAspxLexer': ('pygments.lexers.dotnet', 'aspx-cs', ('aspx-cs',), ('*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'), ()), 'CSharpLexer': ('pygments.lexers.dotnet', 'C#', ('csharp', 'c#'), ('*.cs',), ('text/x-csharp',)), 'Ca65Lexer': ('pygments.lexers.asm', 'ca65', ('ca65',), ('*.s',), ()), 'CbmBasicV2Lexer': ('pygments.lexers.other', 'CBM BASIC V2', ('cbmbas',), ('*.bas',), ()), 'CeylonLexer': ('pygments.lexers.jvm', 'Ceylon', ('ceylon',), ('*.ceylon',), ('text/x-ceylon',)), 'Cfengine3Lexer': ('pygments.lexers.other', 'CFEngine3', ('cfengine3', 'cf3'), ('*.cf',), ()), 'CheetahHtmlLexer': ('pygments.lexers.templates', 'HTML+Cheetah', ('html+cheetah', 'html+spitfire'), (), ('text/html+cheetah', 'text/html+spitfire')), 'CheetahJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Cheetah', ('js+cheetah', 'javascript+cheetah', 'js+spitfire', 'javascript+spitfire'), (), ('application/x-javascript+cheetah', 'text/x-javascript+cheetah', 'text/javascript+cheetah', 'application/x-javascript+spitfire', 'text/x-javascript+spitfire', 'text/javascript+spitfire')), 'CheetahLexer': ('pygments.lexers.templates', 'Cheetah', ('cheetah', 'spitfire'), ('*.tmpl', '*.spt'), ('application/x-cheetah', 'application/x-spitfire')), 'CheetahXmlLexer': ('pygments.lexers.templates', 'XML+Cheetah', ('xml+cheetah', 'xml+spitfire'), (), ('application/xml+cheetah', 'application/xml+spitfire')), 'ClojureLexer': ('pygments.lexers.jvm', 'Clojure', ('clojure', 'clj'), ('*.clj',), ('text/x-clojure', 'application/x-clojure')), 'CobolFreeformatLexer': ('pygments.lexers.compiled', 'COBOLFree', ('cobolfree',), ('*.cbl', '*.CBL'), ()), 'CobolLexer': ('pygments.lexers.compiled', 'COBOL', ('cobol',), ('*.cob', '*.COB', '*.cpy', '*.CPY'), ('text/x-cobol',)), 'CoffeeScriptLexer': ('pygments.lexers.web', 'CoffeeScript', ('coffee-script', 'coffeescript'), ('*.coffee',), ('text/coffeescript',)), 'ColdfusionHtmlLexer': ('pygments.lexers.templates', 'Coldfusion HTML', ('cfm',), ('*.cfm', '*.cfml', '*.cfc'), ('application/x-coldfusion',)), 'ColdfusionLexer': ('pygments.lexers.templates', 'cfstatement', ('cfs',), (), ()), 'CommonLispLexer': ('pygments.lexers.functional', 'Common Lisp', ('common-lisp', 'cl'), ('*.cl', '*.lisp', '*.el'), ('text/x-common-lisp',)), 'CoqLexer': ('pygments.lexers.functional', 'Coq', ('coq',), ('*.v',), ('text/x-coq',)), 'CppLexer': ('pygments.lexers.compiled', 'C++', ('cpp', 'c++'), ('*.cpp', '*.hpp', '*.c++', '*.h++', '*.cc', '*.hh', '*.cxx', '*.hxx', '*.C', '*.H', '*.cp', '*.CPP'), ('text/x-c++hdr', 'text/x-c++src')), 'CppObjdumpLexer': ('pygments.lexers.asm', 'cpp-objdump', ('cpp-objdump', 'c++-objdumb', 'cxx-objdump'), ('*.cpp-objdump', '*.c++-objdump', '*.cxx-objdump'), ('text/x-cpp-objdump',)), 'CrocLexer': ('pygments.lexers.agile', 'Croc', ('croc',), ('*.croc',), ('text/x-crocsrc',)), 'CssDjangoLexer': ('pygments.lexers.templates', 'CSS+Django/Jinja', ('css+django', 'css+jinja'), (), ('text/css+django', 'text/css+jinja')), 'CssErbLexer': ('pygments.lexers.templates', 'CSS+Ruby', ('css+erb', 'css+ruby'), (), ('text/css+ruby',)), 'CssGenshiLexer': ('pygments.lexers.templates', 'CSS+Genshi Text', ('css+genshitext', 'css+genshi'), (), ('text/css+genshi',)), 'CssLexer': ('pygments.lexers.web', 'CSS', ('css',), ('*.css',), ('text/css',)), 'CssPhpLexer': ('pygments.lexers.templates', 'CSS+PHP', ('css+php',), (), ('text/css+php',)), 'CssSmartyLexer': ('pygments.lexers.templates', 'CSS+Smarty', ('css+smarty',), (), ('text/css+smarty',)), 'CudaLexer': ('pygments.lexers.compiled', 'CUDA', ('cuda', 'cu'), ('*.cu', '*.cuh'), ('text/x-cuda',)), 'CythonLexer': ('pygments.lexers.compiled', 'Cython', ('cython', 'pyx'), ('*.pyx', '*.pxd', '*.pxi'), ('text/x-cython', 'application/x-cython')), 'DLexer': ('pygments.lexers.compiled', 'D', ('d',), ('*.d', '*.di'), ('text/x-dsrc',)), 'DObjdumpLexer': ('pygments.lexers.asm', 'd-objdump', ('d-objdump',), ('*.d-objdump',), ('text/x-d-objdump',)), 'DarcsPatchLexer': ('pygments.lexers.text', 'Darcs Patch', ('dpatch',), ('*.dpatch', '*.darcspatch'), ()), 'DartLexer': ('pygments.lexers.web', 'Dart', ('dart',), ('*.dart',), ('text/x-dart',)), 'DebianControlLexer': ('pygments.lexers.text', 'Debian Control file', ('control',), ('control',), ()), 'DelphiLexer': ('pygments.lexers.compiled', 'Delphi', ('delphi', 'pas', 'pascal', 'objectpascal'), ('*.pas',), ('text/x-pascal',)), 'DgLexer': ('pygments.lexers.agile', 'dg', ('dg',), ('*.dg',), ('text/x-dg',)), 'DiffLexer': ('pygments.lexers.text', 'Diff', ('diff', 'udiff'), ('*.diff', '*.patch'), ('text/x-diff', 'text/x-patch')), 'DjangoLexer': ('pygments.lexers.templates', 'Django/Jinja', ('django', 'jinja'), (), ('application/x-django-templating', 'application/x-jinja')), 'DtdLexer': ('pygments.lexers.web', 'DTD', ('dtd',), ('*.dtd',), ('application/xml-dtd',)), 'DuelLexer': ('pygments.lexers.web', 'Duel', ('duel', 'Duel Engine', 'Duel View', 'JBST', 'jbst', 'JsonML+BST'), ('*.duel', '*.jbst'), ('text/x-duel', 'text/x-jbst')), 'DylanConsoleLexer': ('pygments.lexers.compiled', 'Dylan session', ('dylan-console', 'dylan-repl'), ('*.dylan-console',), ('text/x-dylan-console',)), 'DylanLexer': ('pygments.lexers.compiled', 'Dylan', ('dylan',), ('*.dylan', '*.dyl', '*.intr'), ('text/x-dylan',)), 'DylanLidLexer': ('pygments.lexers.compiled', 'DylanLID', ('dylan-lid', 'lid'), ('*.lid', '*.hdp'), ('text/x-dylan-lid',)), 'ECLLexer': ('pygments.lexers.other', 'ECL', ('ecl',), ('*.ecl',), ('application/x-ecl',)), 'ECLexer': ('pygments.lexers.compiled', 'eC', ('ec',), ('*.ec', '*.eh'), ('text/x-echdr', 'text/x-ecsrc')), 'ElixirConsoleLexer': ('pygments.lexers.functional', 'Elixir iex session', ('iex',), (), ('text/x-elixir-shellsession',)), 'ElixirLexer': ('pygments.lexers.functional', 'Elixir', ('elixir', 'ex', 'exs'), ('*.ex', '*.exs'), ('text/x-elixir',)), 'ErbLexer': ('pygments.lexers.templates', 'ERB', ('erb',), (), ('application/x-ruby-templating',)), 'ErlangLexer': ('pygments.lexers.functional', 'Erlang', ('erlang',), ('*.erl', '*.hrl', '*.es', '*.escript'), ('text/x-erlang',)), 'ErlangShellLexer': ('pygments.lexers.functional', 'Erlang erl session', ('erl',), ('*.erl-sh',), ('text/x-erl-shellsession',)), 'EvoqueHtmlLexer': ('pygments.lexers.templates', 'HTML+Evoque', ('html+evoque',), ('*.html',), ('text/html+evoque',)), 'EvoqueLexer': ('pygments.lexers.templates', 'Evoque', ('evoque',), ('*.evoque',), ('application/x-evoque',)), 'EvoqueXmlLexer': ('pygments.lexers.templates', 'XML+Evoque', ('xml+evoque',), ('*.xml',), ('application/xml+evoque',)), 'FSharpLexer': ('pygments.lexers.dotnet', 'FSharp', ('fsharp',), ('*.fs', '*.fsi'), ('text/x-fsharp',)), 'FactorLexer': ('pygments.lexers.agile', 'Factor', ('factor',), ('*.factor',), ('text/x-factor',)), 'FancyLexer': ('pygments.lexers.agile', 'Fancy', ('fancy', 'fy'), ('*.fy', '*.fancypack'), ('text/x-fancysrc',)), 'FantomLexer': ('pygments.lexers.compiled', 'Fantom', ('fan',), ('*.fan',), ('application/x-fantom',)), 'FelixLexer': ('pygments.lexers.compiled', 'Felix', ('felix', 'flx'), ('*.flx', '*.flxh'), ('text/x-felix',)), 'FortranLexer': ('pygments.lexers.compiled', 'Fortran', ('fortran',), ('*.f', '*.f90', '*.F', '*.F90'), ('text/x-fortran',)), 'FoxProLexer': ('pygments.lexers.foxpro', 'FoxPro', ('Clipper', 'XBase'), ('*.PRG', '*.prg'), ()), 'GLShaderLexer': ('pygments.lexers.compiled', 'GLSL', ('glsl',), ('*.vert', '*.frag', '*.geo'), ('text/x-glslsrc',)), 'GasLexer': ('pygments.lexers.asm', 'GAS', ('gas',), ('*.s', '*.S'), ('text/x-gas',)), 'GenshiLexer': ('pygments.lexers.templates', 'Genshi', ('genshi', 'kid', 'xml+genshi', 'xml+kid'), ('*.kid',), ('application/x-genshi', 'application/x-kid')), 'GenshiTextLexer': ('pygments.lexers.templates', 'Genshi Text', ('genshitext',), (), ('application/x-genshi-text', 'text/x-genshi')), 'GettextLexer': ('pygments.lexers.text', 'Gettext Catalog', ('pot', 'po'), ('*.pot', '*.po'), ('application/x-gettext', 'text/x-gettext', 'text/gettext')), 'GherkinLexer': ('pygments.lexers.other', 'Gherkin', ('Cucumber', 'cucumber', 'Gherkin', 'gherkin'), ('*.feature',), ('text/x-gherkin',)), 'GnuplotLexer': ('pygments.lexers.other', 'Gnuplot', ('gnuplot',), ('*.plot', '*.plt'), ('text/x-gnuplot',)), 'GoLexer': ('pygments.lexers.compiled', 'Go', ('go',), ('*.go',), ('text/x-gosrc',)), 'GoodDataCLLexer': ('pygments.lexers.other', 'GoodData-CL', ('gooddata-cl',), ('*.gdc',), ('text/x-gooddata-cl',)), 'GosuLexer': ('pygments.lexers.jvm', 'Gosu', ('gosu',), ('*.gs', '*.gsx', '*.gsp', '*.vark'), ('text/x-gosu',)), 'GosuTemplateLexer': ('pygments.lexers.jvm', 'Gosu Template', ('gst',), ('*.gst',), ('text/x-gosu-template',)), 'GroffLexer': ('pygments.lexers.text', 'Groff', ('groff', 'nroff', 'man'), ('*.[1234567]', '*.man'), ('application/x-troff', 'text/troff')), 'GroovyLexer': ('pygments.lexers.jvm', 'Groovy', ('groovy',), ('*.groovy',), ('text/x-groovy',)), 'HamlLexer': ('pygments.lexers.web', 'Haml', ('haml', 'HAML'), ('*.haml',), ('text/x-haml',)), 'HaskellLexer': ('pygments.lexers.functional', 'Haskell', ('haskell', 'hs'), ('*.hs',), ('text/x-haskell',)), 'HaxeLexer': ('pygments.lexers.web', 'haXe', ('hx', 'haXe'), ('*.hx',), ('text/haxe',)), 'HtmlDjangoLexer': ('pygments.lexers.templates', 'HTML+Django/Jinja', ('html+django', 'html+jinja'), (), ('text/html+django', 'text/html+jinja')), 'HtmlGenshiLexer': ('pygments.lexers.templates', 'HTML+Genshi', ('html+genshi', 'html+kid'), (), ('text/html+genshi',)), 'HtmlLexer': ('pygments.lexers.web', 'HTML', ('html',), ('*.html', '*.htm', '*.xhtml', '*.xslt'), ('text/html', 'application/xhtml+xml')), 'HtmlPhpLexer': ('pygments.lexers.templates', 'HTML+PHP', ('html+php',), ('*.phtml',), ('application/x-php', 'application/x-httpd-php', 'application/x-httpd-php3', 'application/x-httpd-php4', 'application/x-httpd-php5')), 'HtmlSmartyLexer': ('pygments.lexers.templates', 'HTML+Smarty', ('html+smarty',), (), ('text/html+smarty',)), 'HttpLexer': ('pygments.lexers.text', 'HTTP', ('http',), (), ()), 'HxmlLexer': ('pygments.lexers.text', 'Hxml', ('haxeml', 'hxml'), ('*.hxml',), ()), 'HybrisLexer': ('pygments.lexers.other', 'Hybris', ('hybris', 'hy'), ('*.hy', '*.hyb'), ('text/x-hybris', 'application/x-hybris')), 'IDLLexer': ('pygments.lexers.math', 'IDL', ('idl',), ('*.pro',), ('text/idl',)), 'IniLexer': ('pygments.lexers.text', 'INI', ('ini', 'cfg'), ('*.ini', '*.cfg'), ('text/x-ini',)), 'IoLexer': ('pygments.lexers.agile', 'Io', ('io',), ('*.io',), ('text/x-iosrc',)), 'IokeLexer': ('pygments.lexers.jvm', 'Ioke', ('ioke', 'ik'), ('*.ik',), ('text/x-iokesrc',)), 'IrcLogsLexer': ('pygments.lexers.text', 'IRC logs', ('irc',), ('*.weechatlog',), ('text/x-irclog',)), 'JadeLexer': ('pygments.lexers.web', 'Jade', ('jade', 'JADE'), ('*.jade',), ('text/x-jade',)), 'JagsLexer': ('pygments.lexers.math', 'JAGS', ('jags',), ('*.jag', '*.bug'), ()), 'JavaLexer': ('pygments.lexers.jvm', 'Java', ('java',), ('*.java',), ('text/x-java',)), 'JavascriptDjangoLexer': ('pygments.lexers.templates', 'JavaScript+Django/Jinja', ('js+django', 'javascript+django', 'js+jinja', 'javascript+jinja'), (), ('application/x-javascript+django', 'application/x-javascript+jinja', 'text/x-javascript+django', 'text/x-javascript+jinja', 'text/javascript+django', 'text/javascript+jinja')), 'JavascriptErbLexer': ('pygments.lexers.templates', 'JavaScript+Ruby', ('js+erb', 'javascript+erb', 'js+ruby', 'javascript+ruby'), (), ('application/x-javascript+ruby', 'text/x-javascript+ruby', 'text/javascript+ruby')), 'JavascriptGenshiLexer': ('pygments.lexers.templates', 'JavaScript+Genshi Text', ('js+genshitext', 'js+genshi', 'javascript+genshitext', 'javascript+genshi'), (), ('application/x-javascript+genshi', 'text/x-javascript+genshi', 'text/javascript+genshi')), 'JavascriptLexer': ('pygments.lexers.web', 'JavaScript', ('js', 'javascript'), ('*.js',), ('application/javascript', 'application/x-javascript', 'text/x-javascript', 'text/javascript')), 'JavascriptPhpLexer': ('pygments.lexers.templates', 'JavaScript+PHP', ('js+php', 'javascript+php'), (), ('application/x-javascript+php', 'text/x-javascript+php', 'text/javascript+php')), 'JavascriptSmartyLexer': ('pygments.lexers.templates', 'JavaScript+Smarty', ('js+smarty', 'javascript+smarty'), (), ('application/x-javascript+smarty', 'text/x-javascript+smarty', 'text/javascript+smarty')), 'JsonLexer': ('pygments.lexers.web', 'JSON', ('json',), ('*.json',), ('application/json',)), 'JspLexer': ('pygments.lexers.templates', 'Java Server Page', ('jsp',), ('*.jsp',), ('application/x-jsp',)), 'JuliaConsoleLexer': ('pygments.lexers.math', 'Julia console', ('jlcon',), (), ()), 'JuliaLexer': ('pygments.lexers.math', 'Julia', ('julia', 'jl'), ('*.jl',), ('text/x-julia', 'application/x-julia')), 'KconfigLexer': ('pygments.lexers.other', 'Kconfig', ('kconfig', 'menuconfig', 'linux-config', 'kernel-config'), ('Kconfig', '*Config.in*', 'external.in*', 'standard-modules.in'), ('text/x-kconfig',)), 'KokaLexer': ('pygments.lexers.functional', 'Koka', ('koka',), ('*.kk', '*.kki'), ('text/x-koka',)), 'KotlinLexer': ('pygments.lexers.jvm', 'Kotlin', ('kotlin',), ('*.kt',), ('text/x-kotlin',)), 'LassoCssLexer': ('pygments.lexers.templates', 'CSS+Lasso', ('css+lasso',), (), ('text/css+lasso',)), 'LassoHtmlLexer': ('pygments.lexers.templates', 'HTML+Lasso', ('html+lasso',), (), ('text/html+lasso', 'application/x-httpd-lasso', 'application/x-httpd-lasso[89]')), 'LassoJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Lasso', ('js+lasso', 'javascript+lasso'), (), ('application/x-javascript+lasso', 'text/x-javascript+lasso', 'text/javascript+lasso')), 'LassoLexer': ('pygments.lexers.web', 'Lasso', ('lasso', 'lassoscript'), ('*.lasso', '*.lasso[89]'), ('text/x-lasso',)), 'LassoXmlLexer': ('pygments.lexers.templates', 'XML+Lasso', ('xml+lasso',), (), ('application/xml+lasso',)), 'LighttpdConfLexer': ('pygments.lexers.text', 'Lighttpd configuration file', ('lighty', 'lighttpd'), (), ('text/x-lighttpd-conf',)), 'LiterateHaskellLexer': ('pygments.lexers.functional', 'Literate Haskell', ('lhs', 'literate-haskell'), ('*.lhs',), ('text/x-literate-haskell',)), 'LiveScriptLexer': ('pygments.lexers.web', 'LiveScript', ('live-script', 'livescript'), ('*.ls',), ('text/livescript',)), 'LlvmLexer': ('pygments.lexers.asm', 'LLVM', ('llvm',), ('*.ll',), ('text/x-llvm',)), 'LogosLexer': ('pygments.lexers.compiled', 'Logos', ('logos',), ('*.x', '*.xi', '*.xm', '*.xmi'), ('text/x-logos',)), 'LogtalkLexer': ('pygments.lexers.other', 'Logtalk', ('logtalk',), ('*.lgt',), ('text/x-logtalk',)), 'LuaLexer': ('pygments.lexers.agile', 'Lua', ('lua',), ('*.lua', '*.wlua'), ('text/x-lua', 'application/x-lua')), 'MOOCodeLexer': ('pygments.lexers.other', 'MOOCode', ('moocode',), ('*.moo',), ('text/x-moocode',)), 'MakefileLexer': ('pygments.lexers.text', 'Makefile', ('make', 'makefile', 'mf', 'bsdmake'), ('*.mak', 'Makefile', 'makefile', 'Makefile.*', 'GNUmakefile'), ('text/x-makefile',)), 'MakoCssLexer': ('pygments.lexers.templates', 'CSS+Mako', ('css+mako',), (), ('text/css+mako',)), 'MakoHtmlLexer': ('pygments.lexers.templates', 'HTML+Mako', ('html+mako',), (), ('text/html+mako',)), 'MakoJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Mako', ('js+mako', 'javascript+mako'), (), ('application/x-javascript+mako', 'text/x-javascript+mako', 'text/javascript+mako')), 'MakoLexer': ('pygments.lexers.templates', 'Mako', ('mako',), ('*.mao',), ('application/x-mako',)), 'MakoXmlLexer': ('pygments.lexers.templates', 'XML+Mako', ('xml+mako',), (), ('application/xml+mako',)), 'MaqlLexer': ('pygments.lexers.other', 'MAQL', ('maql',), ('*.maql',), ('text/x-gooddata-maql', 'application/x-gooddata-maql')), 'MasonLexer': ('pygments.lexers.templates', 'Mason', ('mason',), ('*.m', '*.mhtml', '*.mc', '*.mi', 'autohandler', 'dhandler'), ('application/x-mason',)), 'MatlabLexer': ('pygments.lexers.math', 'Matlab', ('matlab',), ('*.m',), ('text/matlab',)), 'MatlabSessionLexer': ('pygments.lexers.math', 'Matlab session', ('matlabsession',), (), ()), 'MiniDLexer': ('pygments.lexers.agile', 'MiniD', ('minid',), ('*.md',), ('text/x-minidsrc',)), 'ModelicaLexer': ('pygments.lexers.other', 'Modelica', ('modelica',), ('*.mo',), ('text/x-modelica',)), 'Modula2Lexer': ('pygments.lexers.compiled', 'Modula-2', ('modula2', 'm2'), ('*.def', '*.mod'), ('text/x-modula2',)), 'MoinWikiLexer': ('pygments.lexers.text', 'MoinMoin/Trac Wiki markup', ('trac-wiki', 'moin'), (), ('text/x-trac-wiki',)), 'MonkeyLexer': ('pygments.lexers.compiled', 'Monkey', ('monkey',), ('*.monkey',), ('text/x-monkey',)), 'MoonScriptLexer': ('pygments.lexers.agile', 'MoonScript', ('moon', 'moonscript'), ('*.moon',), ('text/x-moonscript', 'application/x-moonscript')), 'MscgenLexer': ('pygments.lexers.other', 'Mscgen', ('mscgen', 'msc'), ('*.msc',), ()), 'MuPADLexer': ('pygments.lexers.math', 'MuPAD', ('mupad',), ('*.mu',), ()), 'MxmlLexer': ('pygments.lexers.web', 'MXML', ('mxml',), ('*.mxml',), ()), 'MySqlLexer': ('pygments.lexers.sql', 'MySQL', ('mysql',), (), ('text/x-mysql',)), 'MyghtyCssLexer': ('pygments.lexers.templates', 'CSS+Myghty', ('css+myghty',), (), ('text/css+myghty',)), 'MyghtyHtmlLexer': ('pygments.lexers.templates', 'HTML+Myghty', ('html+myghty',), (), ('text/html+myghty',)), 'MyghtyJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Myghty', ('js+myghty', 'javascript+myghty'), (), ('application/x-javascript+myghty', 'text/x-javascript+myghty', 'text/javascript+mygthy')), 'MyghtyLexer': ('pygments.lexers.templates', 'Myghty', ('myghty',), ('*.myt', 'autodelegate'), ('application/x-myghty',)), 'MyghtyXmlLexer': ('pygments.lexers.templates', 'XML+Myghty', ('xml+myghty',), (), ('application/xml+myghty',)), 'NSISLexer': ('pygments.lexers.other', 'NSIS', ('nsis', 'nsi', 'nsh'), ('*.nsi', '*.nsh'), ('text/x-nsis',)), 'NasmLexer': ('pygments.lexers.asm', 'NASM', ('nasm',), ('*.asm', '*.ASM'), ('text/x-nasm',)), 'NemerleLexer': ('pygments.lexers.dotnet', 'Nemerle', ('nemerle',), ('*.n',), ('text/x-nemerle',)), 'NewLispLexer': ('pygments.lexers.functional', 'NewLisp', ('newlisp',), ('*.lsp', '*.nl'), ('text/x-newlisp', 'application/x-newlisp')), 'NewspeakLexer': ('pygments.lexers.other', 'Newspeak', ('newspeak',), ('*.ns2',), ('text/x-newspeak',)), 'NginxConfLexer': ('pygments.lexers.text', 'Nginx configuration file', ('nginx',), (), ('text/x-nginx-conf',)), 'NimrodLexer': ('pygments.lexers.compiled', 'Nimrod', ('nimrod', 'nim'), ('*.nim', '*.nimrod'), ('text/x-nimrod',)), 'NumPyLexer': ('pygments.lexers.math', 'NumPy', ('numpy',), (), ()), 'ObjdumpLexer': ('pygments.lexers.asm', 'objdump', ('objdump',), ('*.objdump',), ('text/x-objdump',)), 'ObjectiveCLexer': ('pygments.lexers.compiled', 'Objective-C', ('objective-c', 'objectivec', 'obj-c', 'objc'), ('*.m', '*.h'), ('text/x-objective-c',)), 'ObjectiveCppLexer': ('pygments.lexers.compiled', 'Objective-C++', ('objective-c++', 'objectivec++', 'obj-c++', 'objc++'), ('*.mm', '*.hh'), ('text/x-objective-c++',)), 'ObjectiveJLexer': ('pygments.lexers.web', 'Objective-J', ('objective-j', 'objectivej', 'obj-j', 'objj'), ('*.j',), ('text/x-objective-j',)), 'OcamlLexer': ('pygments.lexers.functional', 'OCaml', ('ocaml',), ('*.ml', '*.mli', '*.mll', '*.mly'), ('text/x-ocaml',)), 'OctaveLexer': ('pygments.lexers.math', 'Octave', ('octave',), ('*.m',), ('text/octave',)), 'OocLexer': ('pygments.lexers.compiled', 'Ooc', ('ooc',), ('*.ooc',), ('text/x-ooc',)), 'OpaLexer': ('pygments.lexers.functional', 'Opa', ('opa',), ('*.opa',), ('text/x-opa',)), 'OpenEdgeLexer': ('pygments.lexers.other', 'OpenEdge ABL', ('openedge', 'abl', 'progress'), ('*.p', '*.cls'), ('text/x-openedge', 'application/x-openedge')), 'PerlLexer': ('pygments.lexers.agile', 'Perl', ('perl', 'pl'), ('*.pl', '*.pm'), ('text/x-perl', 'application/x-perl')), 'PhpLexer': ('pygments.lexers.web', 'PHP', ('php', 'php3', 'php4', 'php5'), ('*.php', '*.php[345]', '*.inc'), ('text/x-php',)), 'PlPgsqlLexer': ('pygments.lexers.sql', 'PL/pgSQL', ('plpgsql',), (), ('text/x-plpgsql',)), 'PostScriptLexer': ('pygments.lexers.other', 'PostScript', ('postscript',), ('*.ps', '*.eps'), ('application/postscript',)), 'PostgresConsoleLexer': ('pygments.lexers.sql', 'PostgreSQL console (psql)', ('psql', 'postgresql-console', 'postgres-console'), (), ('text/x-postgresql-psql',)), 'PostgresLexer': ('pygments.lexers.sql', 'PostgreSQL SQL dialect', ('postgresql', 'postgres'), (), ('text/x-postgresql',)), 'PovrayLexer': ('pygments.lexers.other', 'POVRay', ('pov',), ('*.pov', '*.inc'), ('text/x-povray',)), 'PowerShellLexer': ('pygments.lexers.shell', 'PowerShell', ('powershell', 'posh', 'ps1'), ('*.ps1',), ('text/x-powershell',)), 'PrologLexer': ('pygments.lexers.compiled', 'Prolog', ('prolog',), ('*.prolog', '*.pro', '*.pl'), ('text/x-prolog',)), 'PropertiesLexer': ('pygments.lexers.text', 'Properties', ('properties',), ('*.properties',), ('text/x-java-properties',)), 'ProtoBufLexer': ('pygments.lexers.other', 'Protocol Buffer', ('protobuf',), ('*.proto',), ()), 'PuppetLexer': ('pygments.lexers.other', 'Puppet', ('puppet',), ('*.pp',), ()), 'PyPyLogLexer': ('pygments.lexers.text', 'PyPy Log', ('pypylog', 'pypy'), ('*.pypylog',), ('application/x-pypylog',)), 'Python3Lexer': ('pygments.lexers.agile', 'Python 3', ('python3', 'py3'), (), ('text/x-python3', 'application/x-python3')), 'Python3TracebackLexer': ('pygments.lexers.agile', 'Python 3.0 Traceback', ('py3tb',), ('*.py3tb',), ('text/x-python3-traceback',)), 'PythonConsoleLexer': ('pygments.lexers.agile', 'Python console session', ('pycon',), (), ('text/x-python-doctest',)), 'PythonLexer': ('pygments.lexers.agile', 'Python', ('python', 'py', 'sage'), ('*.py', '*.pyw', '*.sc', 'SConstruct', 'SConscript', '*.tac', '*.sage'), ('text/x-python', 'application/x-python')), 'PythonTracebackLexer': ('pygments.lexers.agile', 'Python Traceback', ('pytb',), ('*.pytb',), ('text/x-python-traceback',)), 'QmlLexer': ('pygments.lexers.web', 'QML', ('qml', 'Qt Meta Language', 'Qt modeling Language'), ('*.qml',), ('application/x-qml',)), 'RConsoleLexer': ('pygments.lexers.math', 'RConsole', ('rconsole', 'rout'), ('*.Rout',), ()), 'RPMSpecLexer': ('pygments.lexers.other', 'RPMSpec', ('spec',), ('*.spec',), ('text/x-rpm-spec',)), 'RacketLexer': ('pygments.lexers.functional', 'Racket', ('racket', 'rkt'), ('*.rkt', '*.rktl'), ('text/x-racket', 'application/x-racket')), 'RagelCLexer': ('pygments.lexers.parsers', 'Ragel in C Host', ('ragel-c',), ('*.rl',), ()), 'RagelCppLexer': ('pygments.lexers.parsers', 'Ragel in CPP Host', ('ragel-cpp',), ('*.rl',), ()), 'RagelDLexer': ('pygments.lexers.parsers', 'Ragel in D Host', ('ragel-d',), ('*.rl',), ()), 'RagelEmbeddedLexer': ('pygments.lexers.parsers', 'Embedded Ragel', ('ragel-em',), ('*.rl',), ()), 'RagelJavaLexer': ('pygments.lexers.parsers', 'Ragel in Java Host', ('ragel-java',), ('*.rl',), ()), 'RagelLexer': ('pygments.lexers.parsers', 'Ragel', ('ragel',), (), ()), 'RagelObjectiveCLexer': ('pygments.lexers.parsers', 'Ragel in Objective C Host', ('ragel-objc',), ('*.rl',), ()), 'RagelRubyLexer': ('pygments.lexers.parsers', 'Ragel in Ruby Host', ('ragel-ruby', 'ragel-rb'), ('*.rl',), ()), 'RawTokenLexer': ('pygments.lexers.special', 'Raw token data', ('raw',), (), ('application/x-pygments-tokens',)), 'RdLexer': ('pygments.lexers.math', 'Rd', ('rd',), ('*.Rd',), ('text/x-r-doc',)), 'RebolLexer': ('pygments.lexers.other', 'REBOL', ('rebol',), ('*.r', '*.r3'), ('text/x-rebol',)), 'RedcodeLexer': ('pygments.lexers.other', 'Redcode', ('redcode',), ('*.cw',), ()), 'RegeditLexer': ('pygments.lexers.text', 'reg', ('registry',), ('*.reg',), ('text/x-windows-registry',)), 'RhtmlLexer': ('pygments.lexers.templates', 'RHTML', ('rhtml', 'html+erb', 'html+ruby'), ('*.rhtml',), ('text/html+ruby',)), 'RobotFrameworkLexer': ('pygments.lexers.other', 'RobotFramework', ('RobotFramework', 'robotframework'), ('*.txt', '*.robot'), ('text/x-robotframework',)), 'RstLexer': ('pygments.lexers.text', 'reStructuredText', ('rst', 'rest', 'restructuredtext'), ('*.rst', '*.rest'), ('text/x-rst', 'text/prs.fallenstein.rst')), 'RubyConsoleLexer': ('pygments.lexers.agile', 'Ruby irb session', ('rbcon', 'irb'), (), ('text/x-ruby-shellsession',)), 'RubyLexer': ('pygments.lexers.agile', 'Ruby', ('rb', 'ruby', 'duby'), ('*.rb', '*.rbw', 'Rakefile', '*.rake', '*.gemspec', '*.rbx', '*.duby'), ('text/x-ruby', 'application/x-ruby')), 'RustLexer': ('pygments.lexers.compiled', 'Rust', ('rust',), ('*.rs', '*.rc'), ('text/x-rustsrc',)), 'SLexer': ('pygments.lexers.math', 'S', ('splus', 's', 'r'), ('*.S', '*.R', '.Rhistory', '.Rprofile'), ('text/S-plus', 'text/S', 'text/x-r-source', 'text/x-r', 'text/x-R', 'text/x-r-history', 'text/x-r-profile')), 'SMLLexer': ('pygments.lexers.functional', 'Standard ML', ('sml',), ('*.sml', '*.sig', '*.fun'), ('text/x-standardml', 'application/x-standardml')), 'SassLexer': ('pygments.lexers.web', 'Sass', ('sass', 'SASS'), ('*.sass',), ('text/x-sass',)), 'ScalaLexer': ('pygments.lexers.jvm', 'Scala', ('scala',), ('*.scala',), ('text/x-scala',)), 'ScamlLexer': ('pygments.lexers.web', 'Scaml', ('scaml', 'SCAML'), ('*.scaml',), ('text/x-scaml',)), 'SchemeLexer': ('pygments.lexers.functional', 'Scheme', ('scheme', 'scm'), ('*.scm', '*.ss'), ('text/x-scheme', 'application/x-scheme')), 'ScilabLexer': ('pygments.lexers.math', 'Scilab', ('scilab',), ('*.sci', '*.sce', '*.tst'), ('text/scilab',)), 'ScssLexer': ('pygments.lexers.web', 'SCSS', ('scss',), ('*.scss',), ('text/x-scss',)), 'ShellSessionLexer': ('pygments.lexers.shell', 'Shell Session', ('shell-session',), ('*.shell-session',), ('application/x-sh-session',)), 'SmaliLexer': ('pygments.lexers.dalvik', 'Smali', ('smali',), ('*.smali',), ('text/smali',)), 'SmalltalkLexer': ('pygments.lexers.other', 'Smalltalk', ('smalltalk', 'squeak'), ('*.st',), ('text/x-smalltalk',)), 'SmartyLexer': ('pygments.lexers.templates', 'Smarty', ('smarty',), ('*.tpl',), ('application/x-smarty',)), 'SnobolLexer': ('pygments.lexers.other', 'Snobol', ('snobol',), ('*.snobol',), ('text/x-snobol',)), 'SourcePawnLexer': ('pygments.lexers.other', 'SourcePawn', ('sp',), ('*.sp',), ('text/x-sourcepawn',)), 'SourcesListLexer': ('pygments.lexers.text', 'Debian Sourcelist', ('sourceslist', 'sources.list'), ('sources.list',), ()), 'SqlLexer': ('pygments.lexers.sql', 'SQL', ('sql',), ('*.sql',), ('text/x-sql',)), 'SqliteConsoleLexer': ('pygments.lexers.sql', 'sqlite3con', ('sqlite3',), ('*.sqlite3-console',), ('text/x-sqlite3-console',)), 'SquidConfLexer': ('pygments.lexers.text', 'SquidConf', ('squidconf', 'squid.conf', 'squid'), ('squid.conf',), ('text/x-squidconf',)), 'SspLexer': ('pygments.lexers.templates', 'Scalate Server Page', ('ssp',), ('*.ssp',), ('application/x-ssp',)), 'StanLexer': ('pygments.lexers.math', 'Stan', ('stan',), ('*.stan',), ()), 'SystemVerilogLexer': ('pygments.lexers.hdl', 'systemverilog', ('systemverilog', 'sv'), ('*.sv', '*.svh'), ('text/x-systemverilog',)), 'TclLexer': ('pygments.lexers.agile', 'Tcl', ('tcl',), ('*.tcl',), ('text/x-tcl', 'text/x-script.tcl', 'application/x-tcl')), 'TcshLexer': ('pygments.lexers.shell', 'Tcsh', ('tcsh', 'csh'), ('*.tcsh', '*.csh'), ('application/x-csh',)), 'TeaTemplateLexer': ('pygments.lexers.templates', 'Tea', ('tea',), ('*.tea',), ('text/x-tea',)), 'TexLexer': ('pygments.lexers.text', 'TeX', ('tex', 'latex'), ('*.tex', '*.aux', '*.toc'), ('text/x-tex', 'text/x-latex')), 'TextLexer': ('pygments.lexers.special', 'Text only', ('text',), ('*.txt',), ('text/plain',)), 'TreetopLexer': ('pygments.lexers.parsers', 'Treetop', ('treetop',), ('*.treetop', '*.tt'), ()), 'TypeScriptLexer': ('pygments.lexers.web', 'TypeScript', ('ts',), ('*.ts',), ('text/x-typescript',)), 'UrbiscriptLexer': ('pygments.lexers.other', 'UrbiScript', ('urbiscript',), ('*.u',), ('application/x-urbiscript',)), 'VGLLexer': ('pygments.lexers.other', 'VGL', ('vgl',), ('*.rpf',), ()), 'ValaLexer': ('pygments.lexers.compiled', 'Vala', ('vala', 'vapi'), ('*.vala', '*.vapi'), ('text/x-vala',)), 'VbNetAspxLexer': ('pygments.lexers.dotnet', 'aspx-vb', ('aspx-vb',), ('*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'), ()), 'VbNetLexer': ('pygments.lexers.dotnet', 'VB.net', ('vb.net', 'vbnet'), ('*.vb', '*.bas'), ('text/x-vbnet', 'text/x-vba')), 'VelocityHtmlLexer': ('pygments.lexers.templates', 'HTML+Velocity', ('html+velocity',), (), ('text/html+velocity',)), 'VelocityLexer': ('pygments.lexers.templates', 'Velocity', ('velocity',), ('*.vm', '*.fhtml'), ()), 'VelocityXmlLexer': ('pygments.lexers.templates', 'XML+Velocity', ('xml+velocity',), (), ('application/xml+velocity',)), 'VerilogLexer': ('pygments.lexers.hdl', 'verilog', ('verilog', 'v'), ('*.v',), ('text/x-verilog',)), 'VhdlLexer': ('pygments.lexers.hdl', 'vhdl', ('vhdl',), ('*.vhdl', '*.vhd'), ('text/x-vhdl',)), 'VimLexer': ('pygments.lexers.text', 'VimL', ('vim',), ('*.vim', '.vimrc', '.exrc', '.gvimrc', '_vimrc', '_exrc', '_gvimrc', 'vimrc', 'gvimrc'), ('text/x-vim',)), 'XQueryLexer': ('pygments.lexers.web', 'XQuery', ('xquery', 'xqy', 'xq', 'xql', 'xqm'), ('*.xqy', '*.xquery', '*.xq', '*.xql', '*.xqm'), ('text/xquery', 'application/xquery')), 'XmlDjangoLexer': ('pygments.lexers.templates', 'XML+Django/Jinja', ('xml+django', 'xml+jinja'), (), ('application/xml+django', 'application/xml+jinja')), 'XmlErbLexer': ('pygments.lexers.templates', 'XML+Ruby', ('xml+erb', 'xml+ruby'), (), ('application/xml+ruby',)), 'XmlLexer': ('pygments.lexers.web', 'XML', ('xml',), ('*.xml', '*.xsl', '*.rss', '*.xslt', '*.xsd', '*.wsdl'), ('text/xml', 'application/xml', 'image/svg+xml', 'application/rss+xml', 'application/atom+xml')), 'XmlPhpLexer': ('pygments.lexers.templates', 'XML+PHP', ('xml+php',), (), ('application/xml+php',)), 'XmlSmartyLexer': ('pygments.lexers.templates', 'XML+Smarty', ('xml+smarty',), (), ('application/xml+smarty',)), 'XsltLexer': ('pygments.lexers.web', 'XSLT', ('xslt',), ('*.xsl', '*.xslt', '*.xpl'), ('application/xsl+xml', 'application/xslt+xml')), 'XtendLexer': ('pygments.lexers.jvm', 'Xtend', ('xtend',), ('*.xtend',), ('text/x-xtend',)), 'YamlLexer': ('pygments.lexers.text', 'YAML', ('yaml',), ('*.yaml', '*.yml'), ('text/x-yaml',)), } if __name__ == '__main__': import sys import os # lookup lexers found_lexers = [] sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..')) for filename in os.listdir('.'): if filename.endswith('.py') and not filename.startswith('_'): module_name = 'pygments.lexers.%s' % filename[:-3] print module_name module = __import__(module_name, None, None, ['']) for lexer_name in module.__all__: lexer = getattr(module, lexer_name) found_lexers.append( '%r: %r' % (lexer_name, (module_name, lexer.name, tuple(lexer.aliases), tuple(lexer.filenames), tuple(lexer.mimetypes)))) # sort them, that should make the diff files for svn smaller found_lexers.sort() # extract useful sourcecode from this file f = open(__file__) try: content = f.read() finally: f.close() header = content[:content.find('LEXERS = {')] footer = content[content.find("if __name__ == '__main__':"):] # write new file f = open(__file__, 'wb') f.write(header) f.write('LEXERS = {\n %s,\n}\n\n' % ',\n '.join(found_lexers)) f.write(footer) f.close()

cc0-1.0

Mistobaan/tensorflow

tensorflow/contrib/layers/python/layers/regularizers.py

82

7339

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Regularizers for use with layers.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numbers from tensorflow.python.framework import constant_op from tensorflow.python.framework import ops from tensorflow.python.ops import math_ops from tensorflow.python.ops import nn from tensorflow.python.ops import standard_ops from tensorflow.python.platform import tf_logging as logging __all__ = ['l1_regularizer', 'l2_regularizer', 'l1_l2_regularizer', 'sum_regularizer', 'apply_regularization'] def l1_regularizer(scale, scope=None): """Returns a function that can be used to apply L1 regularization to weights. L1 regularization encourages sparsity. Args: scale: A scalar multiplier `Tensor`. 0.0 disables the regularizer. scope: An optional scope name. Returns: A function with signature `l1(weights)` that apply L1 regularization. Raises: ValueError: If scale is negative or if scale is not a float. """ if isinstance(scale, numbers.Integral): raise ValueError('scale cannot be an integer: %s' % scale) if isinstance(scale, numbers.Real): if scale < 0.: raise ValueError('Setting a scale less than 0 on a regularizer: %g' % scale) if scale == 0.: logging.info('Scale of 0 disables regularizer.') return lambda _: None def l1(weights, name=None): """Applies L1 regularization to weights.""" with ops.name_scope(scope, 'l1_regularizer', [weights]) as name: my_scale = ops.convert_to_tensor(scale, dtype=weights.dtype.base_dtype, name='scale') return standard_ops.multiply( my_scale, standard_ops.reduce_sum(standard_ops.abs(weights)), name=name) return l1 def l2_regularizer(scale, scope=None): """Returns a function that can be used to apply L2 regularization to weights. Small values of L2 can help prevent overfitting the training data. Args: scale: A scalar multiplier `Tensor`. 0.0 disables the regularizer. scope: An optional scope name. Returns: A function with signature `l2(weights)` that applies L2 regularization. Raises: ValueError: If scale is negative or if scale is not a float. """ if isinstance(scale, numbers.Integral): raise ValueError('scale cannot be an integer: %s' % (scale,)) if isinstance(scale, numbers.Real): if scale < 0.: raise ValueError('Setting a scale less than 0 on a regularizer: %g.' % scale) if scale == 0.: logging.info('Scale of 0 disables regularizer.') return lambda _: None def l2(weights): """Applies l2 regularization to weights.""" with ops.name_scope(scope, 'l2_regularizer', [weights]) as name: my_scale = ops.convert_to_tensor(scale, dtype=weights.dtype.base_dtype, name='scale') return standard_ops.multiply(my_scale, nn.l2_loss(weights), name=name) return l2 def l1_l2_regularizer(scale_l1=1.0, scale_l2=1.0, scope=None): """Returns a function that can be used to apply L1 L2 regularizations. Args: scale_l1: A scalar multiplier `Tensor` for L1 regularization. scale_l2: A scalar multiplier `Tensor` for L2 regularization. scope: An optional scope name. Returns: A function with signature `l1_l2(weights)` that applies a weighted sum of L1 L2 regularization. Raises: ValueError: If scale is negative or if scale is not a float. """ if isinstance(scale_l1, numbers.Integral): raise ValueError('scale_l1 cannot be an integer: %s' % (scale_l1,)) if isinstance(scale_l2, numbers.Integral): raise ValueError('scale_l2 cannot be an integer: %s' % (scale_l2,)) scope = scope or 'l1_l2_regularizer' if scale_l1 == 0.: return l2_regularizer(scale_l2, scope) if scale_l2 == 0.: return l1_regularizer(scale_l1, scope) return sum_regularizer([l1_regularizer(scale_l1), l2_regularizer(scale_l2)], scope=scope) def sum_regularizer(regularizer_list, scope=None): """Returns a function that applies the sum of multiple regularizers. Args: regularizer_list: A list of regularizers to apply. scope: An optional scope name Returns: A function with signature `sum_reg(weights)` that applies the sum of all the input regularizers. """ regularizer_list = [reg for reg in regularizer_list if reg is not None] if not regularizer_list: return None def sum_reg(weights): """Applies the sum of all the input regularizers.""" with ops.name_scope(scope, 'sum_regularizer', [weights]) as name: regularizer_tensors = [reg(weights) for reg in regularizer_list] return math_ops.add_n(regularizer_tensors, name=name) return sum_reg def apply_regularization(regularizer, weights_list=None): """Returns the summed penalty by applying `regularizer` to the `weights_list`. Adding a regularization penalty over the layer weights and embedding weights can help prevent overfitting the training data. Regularization over layer biases is less common/useful, but assuming proper data preprocessing/mean subtraction, it usually shouldn't hurt much either. Args: regularizer: A function that takes a single `Tensor` argument and returns a scalar `Tensor` output. weights_list: List of weights `Tensors` or `Variables` to apply `regularizer` over. Defaults to the `GraphKeys.WEIGHTS` collection if `None`. Returns: A scalar representing the overall regularization penalty. Raises: ValueError: If `regularizer` does not return a scalar output, or if we find no weights. """ if not weights_list: weights_list = ops.get_collection(ops.GraphKeys.WEIGHTS) if not weights_list: raise ValueError('No weights to regularize.') with ops.name_scope('get_regularization_penalty', values=weights_list) as scope: penalties = [regularizer(w) for w in weights_list] penalties = [ p if p is not None else constant_op.constant(0.0) for p in penalties ] for p in penalties: if p.get_shape().ndims != 0: raise ValueError('regularizer must return a scalar Tensor instead of a ' 'Tensor with rank %d.' % p.get_shape().ndims) summed_penalty = math_ops.add_n(penalties, name=scope) ops.add_to_collection(ops.GraphKeys.REGULARIZATION_LOSSES, summed_penalty) return summed_penalty

apache-2.0

baris/pushmanager

testing/testdb.py

1

4248

#!/usr/bin/python from datetime import datetime, timedelta import os import sqlite3 import tempfile import time from core import db def create_temp_db_file(): fd, db_file_path = tempfile.mkstemp(suffix="pushmanager.db") os.close(fd) return db_file_path def get_temp_db_uri(dbfile=None): if not dbfile: dbfile = create_temp_db_file() return "sqlite:///" + dbfile def make_test_db(dbfile=None): if not dbfile: dbfile = create_temp_db_file() testsql = open( os.path.join( os.path.dirname(__file__), "testdb.sql" ) ).read() test_db = sqlite3.connect(dbfile) test_db.cursor().executescript(testsql) test_db.commit() test_db.close() return dbfile class FakeDataMixin(object): now = time.time() yesterday = time.mktime((datetime.now() - timedelta(days=1)).timetuple()) push_data = [ [10, 'OnePush', 'bmetin', 'deploy-1', 'abc', 'live', yesterday, now, 'regular', ''], [11, 'TwoPush', 'troscoe', 'deploy-2', 'def', 'accepting', now, now, 'regular', ''], [12, 'RedPush', 'heyjoe', 'deploy-3', 'ghi', 'accepting', now, now, 'regular', ''], [13, 'BluePush', 'humpty', 'deploy-4', 'jkl', 'accepting', now, now, 'regular', ''], ] push_keys = [ 'id', 'title', 'user', 'branch', 'revision', 'state', 'created', 'modified', 'pushtype', 'extra_pings' ] fake_revision = "0"*40 request_data = [ [10, 'keysersoze', 'requested', 'keysersoze', 'usual_fix', '', now, now, 'Fix stuff', 'no comment', 12345, '', fake_revision], [11, 'bmetin', 'requested', 'bmetin', 'fix1', '', now, now, 'Fixing more stuff', 'yes comment', 234, '', fake_revision], [12, 'testuser1', 'requested', 'testuser2', 'fix1', 'search', now, now, 'Fixing1', 'no comment', 123, '', fake_revision], [13, 'testuser2', 'requested', 'testuser2', 'fix2', 'search', now, now, 'Fixing2', 'yes comment', 456, '', fake_revision], ] request_keys = [ 'id', 'user', 'state', 'repo', 'branch', 'tags', 'created', 'modified', 'title', 'comments', 'reviewid', 'description', 'revision' ] def on_db_return(self, success, db_results): assert success def make_push_dict(self, data): return dict(zip(self.push_keys, data)) def make_request_dict(self, data): return dict(zip(self.request_keys, data)) def insert_pushes(self): push_queries = [] for pd in self.push_data: push_queries.append(db.push_pushes.insert(self.make_push_dict(pd))) db.execute_transaction_cb(push_queries, self.on_db_return) def insert_requests(self): request_queries = [] for rd in self.request_data: request_queries.append(db.push_requests.insert(self.make_request_dict(rd))) db.execute_transaction_cb(request_queries, self.on_db_return) def insert_pushcontent(self, requestid, pushid): db.execute_cb( db.push_pushcontents.insert({'request': requestid, 'push': pushid}), self.on_db_return ) def get_push_for_request(self, requestid): pushid = [None] def on_select_return(success, db_results): assert success _, pushid[0] = db_results.fetchone() # check if we have a push in with request first_pushcontent_query = db.push_pushcontents.select( db.push_pushcontents.c.request == requestid ) db.execute_cb(first_pushcontent_query, on_select_return) return pushid[0] def get_pushes(self): pushes = [None] def on_select_return(success, db_results): assert success pushes[0] = db_results.fetchall() db.execute_cb(db.push_pushes.select(), on_select_return) return pushes[0] def get_requests(self): requests = [None] def on_select_return(success, db_results): assert success requests[0] = db_results.fetchall() db.execute_cb(db.push_requests.select(), on_select_return) return requests[0] def get_requests_by_user(self, user): return [req for req in self.get_requests() if req['user'] == user]

apache-2.0

c2theg/DDoS_Information_Sharing

libraries/suds-jurko-0.6/suds/properties.py

18

15900

# This program is free software; you can redistribute it and/or modify # it under the terms of the (LGPL) GNU Lesser 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 Library Lesser General Public License for more details at # ( http://www.gnu.org/licenses/lgpl.html ). # # You should have received a copy of the GNU Lesser General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. # written by: Jeff Ortel ( jortel@redhat.com ) """ Properties classes. """ class AutoLinker(object): """ Base class, provides interface for I{automatic} link management between a L{Properties} object and the L{Properties} contained within I{values}. """ def updated(self, properties, prev, next): """ Notification that a values was updated and the linkage between the I{properties} contained with I{prev} need to be relinked to the L{Properties} contained within the I{next} value. """ pass class Link(object): """ Property link object. @ivar endpoints: A tuple of the (2) endpoints of the link. @type endpoints: tuple(2) """ def __init__(self, a, b): """ @param a: Property (A) to link. @type a: L{Property} @param b: Property (B) to link. @type b: L{Property} """ pA = Endpoint(self, a) pB = Endpoint(self, b) self.endpoints = (pA, pB) self.validate(a, b) a.links.append(pB) b.links.append(pA) def validate(self, pA, pB): """ Validate that the two properties may be linked. @param pA: Endpoint (A) to link. @type pA: L{Endpoint} @param pB: Endpoint (B) to link. @type pB: L{Endpoint} @return: self @rtype: L{Link} """ if pA in pB.links or \ pB in pA.links: raise Exception, 'Already linked' dA = pA.domains() dB = pB.domains() for d in dA: if d in dB: raise Exception, 'Duplicate domain "%s" found' % d for d in dB: if d in dA: raise Exception, 'Duplicate domain "%s" found' % d kA = pA.keys() kB = pB.keys() for k in kA: if k in kB: raise Exception, 'Duplicate key %s found' % k for k in kB: if k in kA: raise Exception, 'Duplicate key %s found' % k return self def teardown(self): """ Teardown the link. Removes endpoints from properties I{links} collection. @return: self @rtype: L{Link} """ pA, pB = self.endpoints if pA in pB.links: pB.links.remove(pA) if pB in pA.links: pA.links.remove(pB) return self class Endpoint(object): """ Link endpoint (wrapper). @ivar link: The associated link. @type link: L{Link} @ivar target: The properties object. @type target: L{Property} """ def __init__(self, link, target): self.link = link self.target = target def teardown(self): return self.link.teardown() def __eq__(self, rhs): return ( self.target == rhs ) def __hash__(self): return hash(self.target) def __getattr__(self, name): return getattr(self.target, name) class Definition: """ Property definition. @ivar name: The property name. @type name: str @ivar classes: The (class) list of permitted values @type classes: tuple @ivar default: The default value. @ivar type: any """ def __init__(self, name, classes, default, linker=AutoLinker()): """ @param name: The property name. @type name: str @param classes: The (class) list of permitted values @type classes: tuple @param default: The default value. @type default: any """ if not isinstance(classes, (list, tuple)): classes = (classes,) self.name = name self.classes = classes self.default = default self.linker = linker def nvl(self, value=None): """ Convert the I{value} into the default when I{None}. @param value: The proposed value. @type value: any @return: The I{default} when I{value} is I{None}, else I{value}. @rtype: any """ if value is None: return self.default else: return value def validate(self, value): """ Validate the I{value} is of the correct class. @param value: The value to validate. @type value: any @raise AttributeError: When I{value} is invalid. """ if value is None: return if len(self.classes) and \ not isinstance(value, self.classes): msg = '"%s" must be: %s' % (self.name, self.classes) raise AttributeError,msg def __repr__(self): return '%s: %s' % (self.name, str(self)) def __str__(self): s = [] if len(self.classes): s.append('classes=%s' % str(self.classes)) else: s.append('classes=*') s.append("default=%s" % str(self.default)) return ', '.join(s) class Properties: """ Represents basic application properties. Provides basic type validation, default values and link/synchronization behavior. @ivar domain: The domain name. @type domain: str @ivar definitions: A table of property definitions. @type definitions: {name: L{Definition}} @ivar links: A list of linked property objects used to create a network of properties. @type links: [L{Property},..] @ivar defined: A dict of property values. @type defined: dict """ def __init__(self, domain, definitions, kwargs): """ @param domain: The property domain name. @type domain: str @param definitions: A table of property definitions. @type definitions: {name: L{Definition}} @param kwargs: A list of property name/values to set. @type kwargs: dict """ self.definitions = {} for d in definitions: self.definitions[d.name] = d self.domain = domain self.links = [] self.defined = {} self.modified = set() self.prime() self.update(kwargs) def definition(self, name): """ Get the definition for the property I{name}. @param name: The property I{name} to find the definition for. @type name: str @return: The property definition @rtype: L{Definition} @raise AttributeError: On not found. """ d = self.definitions.get(name) if d is None: raise AttributeError(name) return d def update(self, other): """ Update the property values as specified by keyword/value. @param other: An object to update from. @type other: (dict|L{Properties}) @return: self @rtype: L{Properties} """ if isinstance(other, Properties): other = other.defined for n,v in other.items(): self.set(n, v) return self def notset(self, name): """ Get whether a property has never been set by I{name}. @param name: A property name. @type name: str @return: True if never been set. @rtype: bool """ self.provider(name).__notset(name) def set(self, name, value): """ Set the I{value} of a property by I{name}. The value is validated against the definition and set to the default when I{value} is None. @param name: The property name. @type name: str @param value: The new property value. @type value: any @return: self @rtype: L{Properties} """ self.provider(name).__set(name, value) return self def unset(self, name): """ Unset a property by I{name}. @param name: A property name. @type name: str @return: self @rtype: L{Properties} """ self.provider(name).__set(name, None) return self def get(self, name, *df): """ Get the value of a property by I{name}. @param name: The property name. @type name: str @param df: An optional value to be returned when the value is not set @type df: [1]. @return: The stored value, or I{df[0]} if not set. @rtype: any """ return self.provider(name).__get(name, *df) def link(self, other): """ Link (associate) this object with anI{other} properties object to create a network of properties. Links are bidirectional. @param other: The object to link. @type other: L{Properties} @return: self @rtype: L{Properties} """ Link(self, other) return self def unlink(self, *others): """ Unlink (disassociate) the specified properties object. @param others: The list object to unlink. Unspecified means unlink all. @type others: [L{Properties},..] @return: self @rtype: L{Properties} """ if not len(others): others = self.links[:] for p in self.links[:]: if p in others: p.teardown() return self def provider(self, name, history=None): """ Find the provider of the property by I{name}. @param name: The property name. @type name: str @param history: A history of nodes checked to prevent circular hunting. @type history: [L{Properties},..] @return: The provider when found. Otherwise, None (when nested) and I{self} when not nested. @rtype: L{Properties} """ if history is None: history = [] history.append(self) if name in self.definitions: return self for x in self.links: if x in history: continue provider = x.provider(name, history) if provider is not None: return provider history.remove(self) if len(history): return None return self def keys(self, history=None): """ Get the set of I{all} property names. @param history: A history of nodes checked to prevent circular hunting. @type history: [L{Properties},..] @return: A set of property names. @rtype: list """ if history is None: history = [] history.append(self) keys = set() keys.update(self.definitions.keys()) for x in self.links: if x in history: continue keys.update(x.keys(history)) history.remove(self) return keys def domains(self, history=None): """ Get the set of I{all} domain names. @param history: A history of nodes checked to prevent circular hunting. @type history: [L{Properties},..] @return: A set of domain names. @rtype: list """ if history is None: history = [] history.append(self) domains = set() domains.add(self.domain) for x in self.links: if x in history: continue domains.update(x.domains(history)) history.remove(self) return domains def prime(self): """ Prime the stored values based on default values found in property definitions. @return: self @rtype: L{Properties} """ for d in self.definitions.values(): self.defined[d.name] = d.default return self def __notset(self, name): return not (name in self.modified) def __set(self, name, value): d = self.definition(name) d.validate(value) value = d.nvl(value) prev = self.defined[name] self.defined[name] = value self.modified.add(name) d.linker.updated(self, prev, value) def __get(self, name, *df): d = self.definition(name) value = self.defined.get(name) if value == d.default and len(df): value = df[0] return value def str(self, history): s = [] s.append('Definitions:') for d in self.definitions.values(): s.append('\t%s' % repr(d)) s.append('Content:') for d in self.defined.items(): s.append('\t%s' % str(d)) if self not in history: history.append(self) s.append('Linked:') for x in self.links: s.append(x.str(history)) history.remove(self) return '\n'.join(s) def __repr__(self): return str(self) def __str__(self): return self.str([]) class Skin(object): """ The meta-programming I{skin} around the L{Properties} object. @ivar __pts__: The wrapped object. @type __pts__: L{Properties}. """ def __init__(self, domain, definitions, kwargs): self.__pts__ = Properties(domain, definitions, kwargs) def __setattr__(self, name, value): builtin = name.startswith('__') and name.endswith('__') if builtin: self.__dict__[name] = value return self.__pts__.set(name, value) def __getattr__(self, name): return self.__pts__.get(name) def __repr__(self): return str(self) def __str__(self): return str(self.__pts__) class Unskin(object): def __new__(self, *args, **kwargs): return args[0].__pts__ class Inspector: """ Wrapper inspector. """ def __init__(self, options): self.properties = options.__pts__ def get(self, name, *df): """ Get the value of a property by I{name}. @param name: The property name. @type name: str @param df: An optional value to be returned when the value is not set @type df: [1]. @return: The stored value, or I{df[0]} if not set. @rtype: any """ return self.properties.get(name, *df) def update(self, **kwargs): """ Update the property values as specified by keyword/value. @param kwargs: A list of property name/values to set. @type kwargs: dict @return: self @rtype: L{Properties} """ return self.properties.update(**kwargs) def link(self, other): """ Link (associate) this object with anI{other} properties object to create a network of properties. Links are bidirectional. @param other: The object to link. @type other: L{Properties} @return: self @rtype: L{Properties} """ p = other.__pts__ return self.properties.link(p) def unlink(self, other): """ Unlink (disassociate) the specified properties object. @param other: The object to unlink. @type other: L{Properties} @return: self @rtype: L{Properties} """ p = other.__pts__ return self.properties.unlink(p)

mit

andreashorn/lead_dbs

ext_libs/SlicerNetstim/WarpDrive/WarpDriveLib/Effects/Effect.py

1

4254

import vtk, qt, slicer class AbstractEffect(): """ One instance of this will be created per-view when the effect is selected. It is responsible for implementing feedback and label map changes in response to user input. This class observes the editor parameter node to configure itself and queries the current view for background and label volume nodes to operate on. """ def __init__(self,sliceWidget): # sliceWidget to operate on and convenience variables # to access the internals self.sliceWidget = sliceWidget self.sliceLogic = sliceWidget.sliceLogic() self.sliceView = self.sliceWidget.sliceView() self.interactor = self.sliceView.interactorStyle().GetInteractor() self.renderWindow = self.sliceWidget.sliceView().renderWindow() self.renderer = self.renderWindow.GetRenderers().GetItemAsObject(0) #self.editUtil = EditUtil.EditUtil() # optionally set by users of the class self.undoRedo = None # actors in the renderer that need to be cleaned up on destruction self.actors = [] # the current operation self.actionState = None # set up observers on the interactor # - keep track of tags so these can be removed later # - currently all editor effects are restricted to these events # - make the observers high priority so they can override other # event processors self.interactorObserverTags = [] events = ( vtk.vtkCommand.LeftButtonPressEvent, vtk.vtkCommand.LeftButtonReleaseEvent, vtk.vtkCommand.MiddleButtonPressEvent, vtk.vtkCommand.MiddleButtonReleaseEvent, vtk.vtkCommand.RightButtonPressEvent, vtk.vtkCommand.RightButtonReleaseEvent, vtk.vtkCommand.LeftButtonDoubleClickEvent, vtk.vtkCommand.MouseMoveEvent, vtk.vtkCommand.KeyPressEvent, vtk.vtkCommand.KeyReleaseEvent, vtk.vtkCommand.EnterEvent, vtk.vtkCommand.LeaveEvent, vtk.vtkCommand.MouseWheelForwardEvent, vtk.vtkCommand.MouseWheelBackwardEvent) for e in events: tag = self.interactor.AddObserver(e, self.processEvent, 1.0) self.interactorObserverTags.append(tag) self.sliceNodeTags = [] sliceNode = self.sliceLogic.GetSliceNode() tag = sliceNode.AddObserver(vtk.vtkCommand.ModifiedEvent, self.processEvent, 1.0) self.sliceNodeTags.append(tag) # spot for tracking the current cursor while it is turned off for paining self.savedCursor = None def processEvent(self, caller=None, event=None): """Event filter that lisens for certain key events that should be responded to by all events. Currently: '\\' - pick up paint color from current location (eyedropper) """ if event == "KeyPressEvent": key = self.interactor.GetKeySym() if key.lower() == 's': return True return False def cursorOff(self): """Turn off and save the current cursor so the user can see the background image during editing""" qt.QApplication.setOverrideCursor(qt.QCursor(10)) #self.savedCursor = self.sliceWidget.cursor #qt_BlankCursor = 10 #self.sliceWidget.setCursor(qt.QCursor(qt_BlankCursor)) def cursorOn(self): """Restore the saved cursor if it exists, otherwise just restore the default cursor""" qt.QApplication.restoreOverrideCursor() #if self.savedCursor: # self.sliceWidget.setCursor(self.savedCursor) #else: # self.sliceWidget.unsetCursor() def abortEvent(self,event): """Set the AbortFlag on the vtkCommand associated with the event - causes other things listening to the interactor not to receive the events""" # TODO: make interactorObserverTags a map to we can # explicitly abort just the event we handled - it will # be slightly more efficient for tag in self.interactorObserverTags: cmd = self.interactor.GetCommand(tag) cmd.SetAbortFlag(1) def cleanup(self): """clean up actors and observers""" for a in self.actors: self.renderer.RemoveActor2D(a) self.sliceView.scheduleRender() for tag in self.interactorObserverTags: self.interactor.RemoveObserver(tag) sliceNode = self.sliceLogic.GetSliceNode() for tag in self.sliceNodeTags: sliceNode.RemoveObserver(tag)

gpl-3.0

quattor/aquilon

lib/aquilon/worker/commands/add_service.py

2

1676

# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*- # ex: set expandtab softtabstop=4 shiftwidth=4: # # Copyright (C) 2008,2009,2010,2011,2012,2013,2016 Contributor # # 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. """Contains the logic for `aq add service`.""" from aquilon.exceptions_ import AuthorizationException from aquilon.aqdb.model import Service from aquilon.worker.broker import BrokerCommand class CommandAddService(BrokerCommand): requires_plenaries = True required_parameters = ["service"] def render(self, session, plenaries, dbuser, service, need_client_list, allow_alias_bindings, comments, **_): Service.get_unique(session, service, preclude=True) if dbuser.role.name != 'aqd_admin' and allow_alias_bindings is not None: raise AuthorizationException("Only AQD admin can set allowing alias bindings") dbservice = Service(name=service, comments=comments, need_client_list=need_client_list, allow_alias_bindings=allow_alias_bindings) session.add(dbservice) plenaries.add(dbservice) session.flush() plenaries.write() return

apache-2.0

bertucho/epic-movie-quotes-quiz

dialogos/build/Twisted/twisted/internet/test/test_glibbase.py

39

2284

# Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ Tests for twisted.internet.glibbase. """ from __future__ import division, absolute_import import sys from twisted.trial.unittest import TestCase from twisted.internet._glibbase import ensureNotImported class EnsureNotImportedTests(TestCase): """ L{ensureNotImported} protects against unwanted past and future imports. """ def test_ensureWhenNotImported(self): """ If the specified modules have never been imported, and import prevention is requested, L{ensureNotImported} makes sure they will not be imported in the future. """ modules = {} self.patch(sys, "modules", modules) ensureNotImported(["m1", "m2"], "A message.", preventImports=["m1", "m2", "m3"]) self.assertEqual(modules, {"m1": None, "m2": None, "m3": None}) def test_ensureWhenNotImportedDontPrevent(self): """ If the specified modules have never been imported, and import prevention is not requested, L{ensureNotImported} has no effect. """ modules = {} self.patch(sys, "modules", modules) ensureNotImported(["m1", "m2"], "A message.") self.assertEqual(modules, {}) def test_ensureWhenFailedToImport(self): """ If the specified modules have been set to C{None} in C{sys.modules}, L{ensureNotImported} does not complain. """ modules = {"m2": None} self.patch(sys, "modules", modules) ensureNotImported(["m1", "m2"], "A message.", preventImports=["m1", "m2"]) self.assertEqual(modules, {"m1": None, "m2": None}) def test_ensureFailsWhenImported(self): """ If one of the specified modules has been previously imported, L{ensureNotImported} raises an exception. """ module = object() modules = {"m2": module} self.patch(sys, "modules", modules) e = self.assertRaises(ImportError, ensureNotImported, ["m1", "m2"], "A message.", preventImports=["m1", "m2"]) self.assertEqual(modules, {"m2": module}) self.assertEqual(e.args, ("A message.",))

mit

marcoantoniooliveira/labweb

oscar/apps/order/south_migrations/0027_no_null_in_charfields.py

8

47820

# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import DataMigration from django.db import models from oscar.core.compat import AUTH_USER_MODEL, AUTH_USER_MODEL_NAME class Migration(DataMigration): def forwards(self, orm): orm.Line.objects.filter(partner_name__isnull=True).update(partner_name='') orm.Line.objects.filter(status__isnull=True).update(status='') orm.Line.objects.filter(partner_line_reference__isnull=True).update(partner_line_reference='') orm.Line.objects.filter(partner_line_notes__isnull=True).update(partner_line_notes='') orm.OrderDiscount.objects.filter(offer_name__isnull=True).update(offer_name='') orm.OrderDiscount.objects.filter(voucher_code__isnull=True).update(voucher_code='') orm.OrderDiscount.objects.filter(message__isnull=True).update(message='') orm.OrderNote.objects.filter(note_type__isnull=True).update(note_type='') orm.Order.objects.filter(status__isnull=True).update(status='') orm.Order.objects.filter(shipping_method__isnull=True).update(shipping_method='') orm.Order.objects.filter(guest_email__isnull=True).update(guest_email='') orm.BillingAddress.objects.filter(first_name__isnull=True).update(first_name='') orm.BillingAddress.objects.filter(title__isnull=True).update(title='') orm.BillingAddress.objects.filter(line4__isnull=True).update(line4='') orm.BillingAddress.objects.filter(line3__isnull=True).update(line3='') orm.BillingAddress.objects.filter(line2__isnull=True).update(line2='') orm.BillingAddress.objects.filter(state__isnull=True).update(state='') orm.BillingAddress.objects.filter(postcode__isnull=True).update(postcode='') orm.ShippingEvent.objects.filter(notes__isnull=True).update(notes='') orm.ShippingAddress.objects.filter(first_name__isnull=True).update(first_name='') orm.ShippingAddress.objects.filter(title__isnull=True).update(title='') orm.ShippingAddress.objects.filter(notes__isnull=True).update(notes='') orm.ShippingAddress.objects.filter(line4__isnull=True).update(line4='') orm.ShippingAddress.objects.filter(line3__isnull=True).update(line3='') orm.ShippingAddress.objects.filter(line2__isnull=True).update(line2='') orm.ShippingAddress.objects.filter(state__isnull=True).update(state='') orm.ShippingAddress.objects.filter(postcode__isnull=True).update(postcode='') def backwards(self, orm): raise RuntimeError("Cannot reverse this migration.") models = { u'address.country': { 'Meta': {'ordering': "('-display_order', 'name')", 'object_name': 'Country'}, 'display_order': ('django.db.models.fields.PositiveSmallIntegerField', [], {'default': '0', 'db_index': 'True'}), 'is_shipping_country': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'db_index': 'True'}), 'iso_3166_1_a2': ('django.db.models.fields.CharField', [], {'max_length': '2', 'primary_key': 'True'}), 'iso_3166_1_a3': ('django.db.models.fields.CharField', [], {'max_length': '3', 'null': 'True', 'db_index': 'True'}), 'iso_3166_1_numeric': ('django.db.models.fields.PositiveSmallIntegerField', [], {'null': 'True', 'db_index': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'printable_name': ('django.db.models.fields.CharField', [], {'max_length': '128'}) }, u'auth.group': { 'Meta': {'object_name': 'Group'}, u'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': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, u'auth.permission': { 'Meta': {'ordering': "(u'content_type__app_label', u'content_type__model', u'codename')", 'unique_together': "((u'content_type', u'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['contenttypes.ContentType']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, AUTH_USER_MODEL: { 'Meta': {'object_name': AUTH_USER_MODEL_NAME}, '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', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Group']"}), u'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', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Permission']"}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, u'basket.basket': { 'Meta': {'object_name': 'Basket'}, 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_merged': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'date_submitted': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'owner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'baskets'", 'null': 'True', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)}), 'status': ('django.db.models.fields.CharField', [], {'default': "'Open'", 'max_length': '128'}), 'vouchers': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': u"orm['voucher.Voucher']", 'null': 'True', 'blank': 'True'}) }, u'catalogue.attributeentity': { 'Meta': {'object_name': 'AttributeEntity'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255', 'blank': 'True'}), 'type': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'entities'", 'to': u"orm['catalogue.AttributeEntityType']"}) }, u'catalogue.attributeentitytype': { 'Meta': {'object_name': 'AttributeEntityType'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255', 'blank': 'True'}) }, u'catalogue.attributeoption': { 'Meta': {'object_name': 'AttributeOption'}, 'group': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'options'", 'to': u"orm['catalogue.AttributeOptionGroup']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'option': ('django.db.models.fields.CharField', [], {'max_length': '255'}) }, u'catalogue.attributeoptiongroup': { 'Meta': {'object_name': 'AttributeOptionGroup'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}) }, u'catalogue.category': { 'Meta': {'ordering': "['full_name']", 'object_name': 'Category'}, 'depth': ('django.db.models.fields.PositiveIntegerField', [], {}), 'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'full_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'numchild': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'path': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255'}) }, u'catalogue.option': { 'Meta': {'object_name': 'Option'}, 'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'type': ('django.db.models.fields.CharField', [], {'default': "'Required'", 'max_length': '128'}) }, u'catalogue.product': { 'Meta': {'ordering': "['-date_created']", 'object_name': 'Product'}, 'attributes': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.ProductAttribute']", 'through': u"orm['catalogue.ProductAttributeValue']", 'symmetrical': 'False'}), 'categories': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Category']", 'through': u"orm['catalogue.ProductCategory']", 'symmetrical': 'False'}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}), 'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_discountable': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'parent': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'variants'", 'null': 'True', 'to': u"orm['catalogue.Product']"}), 'product_class': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'products'", 'null': 'True', 'on_delete': 'models.PROTECT', 'to': u"orm['catalogue.ProductClass']"}), 'product_options': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Option']", 'symmetrical': 'False', 'blank': 'True'}), 'rating': ('django.db.models.fields.FloatField', [], {'null': 'True'}), 'recommended_products': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Product']", 'symmetrical': 'False', 'through': u"orm['catalogue.ProductRecommendation']", 'blank': 'True'}), 'related_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'relations'", 'blank': 'True', 'to': u"orm['catalogue.Product']"}), 'score': ('django.db.models.fields.FloatField', [], {'default': '0.0', 'db_index': 'True'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '255'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'upc': ('oscar.models.fields.NullCharField', [], {'max_length': '64', 'unique': 'True', 'null': 'True', 'blank': 'True'}) }, u'catalogue.productattribute': { 'Meta': {'ordering': "['code']", 'object_name': 'ProductAttribute'}, 'code': ('django.db.models.fields.SlugField', [], {'max_length': '128'}), 'entity_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeEntityType']", 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'option_group': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeOptionGroup']", 'null': 'True', 'blank': 'True'}), 'product_class': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'attributes'", 'null': 'True', 'to': u"orm['catalogue.ProductClass']"}), 'required': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'type': ('django.db.models.fields.CharField', [], {'default': "'text'", 'max_length': '20'}) }, u'catalogue.productattributevalue': { 'Meta': {'object_name': 'ProductAttributeValue'}, 'attribute': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.ProductAttribute']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'product': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'attribute_values'", 'to': u"orm['catalogue.Product']"}), 'value_boolean': ('django.db.models.fields.NullBooleanField', [], {'null': 'True', 'blank': 'True'}), 'value_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'value_entity': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeEntity']", 'null': 'True', 'blank': 'True'}), 'value_file': ('django.db.models.fields.files.FileField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'value_float': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}), 'value_image': ('django.db.models.fields.files.ImageField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'value_integer': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'value_option': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.AttributeOption']", 'null': 'True', 'blank': 'True'}), 'value_richtext': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'value_text': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}) }, u'catalogue.productcategory': { 'Meta': {'ordering': "['product', 'category']", 'object_name': 'ProductCategory'}, 'category': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Category']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"}) }, u'catalogue.productclass': { 'Meta': {'ordering': "['name']", 'object_name': 'ProductClass'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'options': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['catalogue.Option']", 'symmetrical': 'False', 'blank': 'True'}), 'requires_shipping': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'slug': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), 'track_stock': ('django.db.models.fields.BooleanField', [], {'default': 'True'}) }, u'catalogue.productrecommendation': { 'Meta': {'object_name': 'ProductRecommendation'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'primary': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'primary_recommendations'", 'to': u"orm['catalogue.Product']"}), 'ranking': ('django.db.models.fields.PositiveSmallIntegerField', [], {'default': '0'}), 'recommendation': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"}) }, u'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'}), u'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'}) }, u'customer.communicationeventtype': { 'Meta': {'object_name': 'CommunicationEventType'}, 'category': ('django.db.models.fields.CharField', [], {'default': "u'Order related'", 'max_length': '255'}), 'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), 'email_body_html_template': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'email_body_template': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'email_subject_template': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'sms_template': ('django.db.models.fields.CharField', [], {'max_length': '170', 'null': 'True', 'blank': 'True'}) }, u'offer.benefit': { 'Meta': {'object_name': 'Benefit'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'max_affected_items': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']", 'null': 'True', 'blank': 'True'}), 'type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'blank': 'True'}), 'value': ('oscar.models.fields.PositiveDecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}) }, u'offer.condition': { 'Meta': {'object_name': 'Condition'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']", 'null': 'True', 'blank': 'True'}), 'type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}), 'value': ('oscar.models.fields.PositiveDecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}) }, u'offer.conditionaloffer': { 'Meta': {'ordering': "['-priority']", 'object_name': 'ConditionalOffer'}, 'benefit': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Benefit']"}), 'condition': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Condition']"}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'end_datetime': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'max_basket_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'max_discount': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'max_global_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'max_user_applications': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'}), 'num_applications': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'num_orders': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'offer_type': ('django.db.models.fields.CharField', [], {'default': "'Site'", 'max_length': '128'}), 'priority': ('django.db.models.fields.IntegerField', [], {'default': '0'}), 'redirect_url': ('oscar.models.fields.ExtendedURLField', [], {'max_length': '200', 'blank': 'True'}), 'slug': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), 'start_datetime': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'status': ('django.db.models.fields.CharField', [], {'default': "'Open'", 'max_length': '64'}), 'total_discount': ('django.db.models.fields.DecimalField', [], {'default': "'0.00'", 'max_digits': '12', 'decimal_places': '2'}) }, u'offer.range': { 'Meta': {'object_name': 'Range'}, 'classes': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'classes'", 'blank': 'True', 'to': u"orm['catalogue.ProductClass']"}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'excluded_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'excludes'", 'blank': 'True', 'to': u"orm['catalogue.Product']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'included_categories': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'includes'", 'blank': 'True', 'to': u"orm['catalogue.Category']"}), 'included_products': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "'includes'", 'blank': 'True', 'through': u"orm['offer.RangeProduct']", 'to': u"orm['catalogue.Product']"}), 'includes_all_products': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_public': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'}), 'proxy_class': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '255', 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '128', 'unique': 'True', 'null': 'True'}) }, u'offer.rangeproduct': { 'Meta': {'unique_together': "(('range', 'product'),)", 'object_name': 'RangeProduct'}, 'display_order': ('django.db.models.fields.IntegerField', [], {'default': '0'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']"}), 'range': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['offer.Range']"}) }, u'order.billingaddress': { 'Meta': {'object_name': 'BillingAddress'}, 'country': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['address.Country']"}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}), 'line1': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'line2': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'line3': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'line4': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'postcode': ('oscar.models.fields.UppercaseCharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}), 'search_text': ('django.db.models.fields.CharField', [], {'max_length': '1000'}), 'state': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}) }, u'order.communicationevent': { 'Meta': {'ordering': "['-date_created']", 'object_name': 'CommunicationEvent'}, 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['customer.CommunicationEventType']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'communication_events'", 'to': u"orm['order.Order']"}) }, u'order.line': { 'Meta': {'object_name': 'Line'}, 'est_dispatch_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'line_price_before_discounts_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'line_price_before_discounts_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'line_price_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'line_price_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'lines'", 'to': u"orm['order.Order']"}), 'partner': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'order_lines'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['partner.Partner']"}), 'partner_line_notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'partner_line_reference': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}), 'partner_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}), 'partner_sku': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'product': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['catalogue.Product']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}), 'quantity': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}), 'status': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'stockrecord': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['partner.StockRecord']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'unit_cost_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'unit_price_excl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'unit_price_incl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'unit_retail_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'upc': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}) }, u'order.lineattribute': { 'Meta': {'object_name': 'LineAttribute'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'attributes'", 'to': u"orm['order.Line']"}), 'option': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_attributes'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['catalogue.Option']"}), 'type': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'value': ('django.db.models.fields.CharField', [], {'max_length': '255'}) }, u'order.lineprice': { 'Meta': {'ordering': "('id',)", 'object_name': 'LinePrice'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'prices'", 'to': u"orm['order.Line']"}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_prices'", 'to': u"orm['order.Order']"}), 'price_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'price_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'quantity': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}), 'shipping_excl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}), 'shipping_incl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}) }, u'order.order': { 'Meta': {'ordering': "['-date_placed']", 'object_name': 'Order'}, 'basket': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['basket.Basket']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}), 'billing_address': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.BillingAddress']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}), 'currency': ('django.db.models.fields.CharField', [], {'default': "'GBP'", 'max_length': '12'}), 'date_placed': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'db_index': 'True', 'blank': 'True'}), 'guest_email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'number': ('django.db.models.fields.CharField', [], {'max_length': '128', 'db_index': 'True'}), 'shipping_address': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.ShippingAddress']", 'null': 'True', 'on_delete': 'models.SET_NULL', 'blank': 'True'}), 'shipping_code': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '128', 'blank': 'True'}), 'shipping_excl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}), 'shipping_incl_tax': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}), 'shipping_method': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}), 'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']", 'null': 'True', 'on_delete': 'models.SET_NULL'}), 'status': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'total_excl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'total_incl_tax': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'orders'", 'null': 'True', 'on_delete': 'models.SET_NULL', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)}) }, u'order.orderdiscount': { 'Meta': {'object_name': 'OrderDiscount'}, 'amount': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '12', 'decimal_places': '2'}), 'category': ('django.db.models.fields.CharField', [], {'default': "'Basket'", 'max_length': '64'}), 'frequency': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'message': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'offer_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'offer_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'discounts'", 'to': u"orm['order.Order']"}), 'voucher_code': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}), 'voucher_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}) }, u'order.ordernote': { 'Meta': {'object_name': 'OrderNote'}, 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'message': ('django.db.models.fields.TextField', [], {}), 'note_type': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'notes'", 'to': u"orm['order.Order']"}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['{0}']".format(AUTH_USER_MODEL), 'null': 'True'}) }, u'order.paymentevent': { 'Meta': {'ordering': "['-date_created']", 'object_name': 'PaymentEvent'}, 'amount': ('django.db.models.fields.DecimalField', [], {'max_digits': '12', 'decimal_places': '2'}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.PaymentEventType']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'lines': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['order.Line']", 'through': u"orm['order.PaymentEventQuantity']", 'symmetrical': 'False'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_events'", 'to': u"orm['order.Order']"}), 'reference': ('django.db.models.fields.CharField', [], {'max_length': '128', 'blank': 'True'}), 'shipping_event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_events'", 'null': 'True', 'to': u"orm['order.ShippingEvent']"}) }, u'order.paymenteventquantity': { 'Meta': {'object_name': 'PaymentEventQuantity'}, 'event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_quantities'", 'to': u"orm['order.PaymentEvent']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'payment_event_quantities'", 'to': u"orm['order.Line']"}), 'quantity': ('django.db.models.fields.PositiveIntegerField', [], {}) }, u'order.paymenteventtype': { 'Meta': {'ordering': "('name',)", 'object_name': 'PaymentEventType'}, 'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128'}) }, u'order.shippingaddress': { 'Meta': {'object_name': 'ShippingAddress'}, 'country': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['address.Country']"}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}), 'line1': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'line2': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'line3': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'line4': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'phone_number': ('oscar.models.fields.PhoneNumberField', [], {'max_length': '128', 'blank': 'True'}), 'postcode': ('oscar.models.fields.UppercaseCharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}), 'search_text': ('django.db.models.fields.CharField', [], {'max_length': '1000'}), 'state': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '64', 'null': 'True', 'blank': 'True'}) }, u'order.shippingevent': { 'Meta': {'ordering': "['-date_created']", 'object_name': 'ShippingEvent'}, 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'event_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['order.ShippingEventType']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'lines': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'shipping_events'", 'symmetrical': 'False', 'through': u"orm['order.ShippingEventQuantity']", 'to': u"orm['order.Line']"}), 'notes': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'order': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'shipping_events'", 'to': u"orm['order.Order']"}) }, u'order.shippingeventquantity': { 'Meta': {'object_name': 'ShippingEventQuantity'}, 'event': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'line_quantities'", 'to': u"orm['order.ShippingEvent']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'line': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'shipping_event_quantities'", 'to': u"orm['order.Line']"}), 'quantity': ('django.db.models.fields.PositiveIntegerField', [], {}) }, u'order.shippingeventtype': { 'Meta': {'ordering': "('name',)", 'object_name': 'ShippingEventType'}, 'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'}) }, u'partner.partner': { 'Meta': {'object_name': 'Partner'}, 'code': ('oscar.models.fields.autoslugfield.AutoSlugField', [], {'allow_duplicates': 'False', 'max_length': '128', 'separator': "u'-'", 'blank': 'True', 'unique': 'True', 'populate_from': "'name'", 'overwrite': 'False'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'blank': 'True'}), 'users': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'partners'", 'null': 'True', 'symmetrical': 'False', 'to': u"orm['{0}']".format(AUTH_USER_MODEL)}) }, u'partner.stockrecord': { 'Meta': {'unique_together': "(('partner', 'partner_sku'),)", 'object_name': 'StockRecord'}, 'cost_price': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'date_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'low_stock_threshold': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'num_allocated': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}), 'num_in_stock': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}), 'partner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'stockrecords'", 'to': u"orm['partner.Partner']"}), 'partner_sku': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'price_currency': ('django.db.models.fields.CharField', [], {'default': "'GBP'", 'max_length': '12'}), 'price_excl_tax': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'price_retail': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '12', 'decimal_places': '2', 'blank': 'True'}), 'product': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'stockrecords'", 'to': u"orm['catalogue.Product']"}) }, u'sites.site': { 'Meta': {'ordering': "(u'domain',)", 'object_name': 'Site', 'db_table': "u'django_site'"}, 'domain': ('django.db.models.fields.CharField', [], {'max_length': '100'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, u'voucher.voucher': { 'Meta': {'object_name': 'Voucher'}, 'code': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '128', 'db_index': 'True'}), 'date_created': ('django.db.models.fields.DateField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'end_datetime': ('django.db.models.fields.DateTimeField', [], {}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'num_basket_additions': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'num_orders': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'offers': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'vouchers'", 'symmetrical': 'False', 'to': u"orm['offer.ConditionalOffer']"}), 'start_datetime': ('django.db.models.fields.DateTimeField', [], {}), 'total_discount': ('django.db.models.fields.DecimalField', [], {'default': "'0.00'", 'max_digits': '12', 'decimal_places': '2'}), 'usage': ('django.db.models.fields.CharField', [], {'default': "'Multi-use'", 'max_length': '128'}) } } complete_apps = ['order'] symmetrical = True

bsd-3-clause

dhruvsrivastava/OJ

flask/lib/python2.7/site-packages/requests/packages/chardet/big5freq.py

3133

82594

######################## BEGIN LICENSE BLOCK ######################## # The Original Code is Mozilla Communicator client code. # # The Initial Developer of the Original Code is # Netscape Communications Corporation. # Portions created by the Initial Developer are Copyright (C) 1998 # the Initial Developer. All Rights Reserved. # # Contributor(s): # Mark Pilgrim - port to Python # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library 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 # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA # 02110-1301 USA ######################### END LICENSE BLOCK ######################### # Big5 frequency table # by Taiwan's Mandarin Promotion Council # <http://www.edu.tw:81/mandr/> # # 128 --> 0.42261 # 256 --> 0.57851 # 512 --> 0.74851 # 1024 --> 0.89384 # 2048 --> 0.97583 # # Ideal Distribution Ratio = 0.74851/(1-0.74851) =2.98 # Random Distribution Ration = 512/(5401-512)=0.105 # # Typical Distribution Ratio about 25% of Ideal one, still much higher than RDR BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75 #Char to FreqOrder table BIG5_TABLE_SIZE = 5376 Big5CharToFreqOrder = ( 1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16 3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32 1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48 63,5010,5011, 317,1614, 75, 222, 159,4203,2417,1480,5012,3555,3091, 224,2822, # 64 3682, 3, 10,3973,1471, 29,2787,1135,2866,1940, 873, 130,3275,1123, 312,5013, # 80 4511,2052, 507, 252, 682,5014, 142,1915, 124, 206,2947, 34,3556,3204, 64, 604, # 96 5015,2501,1977,1978, 155,1991, 645, 641,1606,5016,3452, 337, 72, 406,5017, 80, # 112 630, 238,3205,1509, 263, 939,1092,2654, 756,1440,1094,3453, 449, 69,2987, 591, # 128 179,2096, 471, 115,2035,1844, 60, 50,2988, 134, 806,1869, 734,2036,3454, 180, # 144 995,1607, 156, 537,2907, 688,5018, 319,1305, 779,2145, 514,2379, 298,4512, 359, # 160 2502, 90,2716,1338, 663, 11, 906,1099,2553, 20,2441, 182, 532,1716,5019, 732, # 176 1376,4204,1311,1420,3206, 25,2317,1056, 113, 399, 382,1950, 242,3455,2474, 529, # 192 3276, 475,1447,3683,5020, 117, 21, 656, 810,1297,2300,2334,3557,5021, 126,4205, # 208 706, 456, 150, 613,4513, 71,1118,2037,4206, 145,3092, 85, 835, 486,2115,1246, # 224 1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,5022,2128,2359, 347,3815, 221, # 240 3558,3135,5023,1956,1153,4207, 83, 296,1199,3093, 192, 624, 93,5024, 822,1898, # 256 2823,3136, 795,2065, 991,1554,1542,1592, 27, 43,2867, 859, 139,1456, 860,4514, # 272 437, 712,3974, 164,2397,3137, 695, 211,3037,2097, 195,3975,1608,3559,3560,3684, # 288 3976, 234, 811,2989,2098,3977,2233,1441,3561,1615,2380, 668,2077,1638, 305, 228, # 304 1664,4515, 467, 415,5025, 262,2099,1593, 239, 108, 300, 200,1033, 512,1247,2078, # 320 5026,5027,2176,3207,3685,2682, 593, 845,1062,3277, 88,1723,2038,3978,1951, 212, # 336 266, 152, 149, 468,1899,4208,4516, 77, 187,5028,3038, 37, 5,2990,5029,3979, # 352 5030,5031, 39,2524,4517,2908,3208,2079, 55, 148, 74,4518, 545, 483,1474,1029, # 368 1665, 217,1870,1531,3138,1104,2655,4209, 24, 172,3562, 900,3980,3563,3564,4519, # 384 32,1408,2824,1312, 329, 487,2360,2251,2717, 784,2683, 4,3039,3351,1427,1789, # 400 188, 109, 499,5032,3686,1717,1790, 888,1217,3040,4520,5033,3565,5034,3352,1520, # 416 3687,3981, 196,1034, 775,5035,5036, 929,1816, 249, 439, 38,5037,1063,5038, 794, # 432 3982,1435,2301, 46, 178,3278,2066,5039,2381,5040, 214,1709,4521, 804, 35, 707, # 448 324,3688,1601,2554, 140, 459,4210,5041,5042,1365, 839, 272, 978,2262,2580,3456, # 464 2129,1363,3689,1423, 697, 100,3094, 48, 70,1231, 495,3139,2196,5043,1294,5044, # 480 2080, 462, 586,1042,3279, 853, 256, 988, 185,2382,3457,1698, 434,1084,5045,3458, # 496 314,2625,2788,4522,2335,2336, 569,2285, 637,1817,2525, 757,1162,1879,1616,3459, # 512 287,1577,2116, 768,4523,1671,2868,3566,2526,1321,3816, 909,2418,5046,4211, 933, # 528 3817,4212,2053,2361,1222,4524, 765,2419,1322, 786,4525,5047,1920,1462,1677,2909, # 544 1699,5048,4526,1424,2442,3140,3690,2600,3353,1775,1941,3460,3983,4213, 309,1369, # 560 1130,2825, 364,2234,1653,1299,3984,3567,3985,3986,2656, 525,1085,3041, 902,2001, # 576 1475, 964,4527, 421,1845,1415,1057,2286, 940,1364,3141, 376,4528,4529,1381, 7, # 592 2527, 983,2383, 336,1710,2684,1846, 321,3461, 559,1131,3042,2752,1809,1132,1313, # 608 265,1481,1858,5049, 352,1203,2826,3280, 167,1089, 420,2827, 776, 792,1724,3568, # 624 4214,2443,3281,5050,4215,5051, 446, 229, 333,2753, 901,3818,1200,1557,4530,2657, # 640 1921, 395,2754,2685,3819,4216,1836, 125, 916,3209,2626,4531,5052,5053,3820,5054, # 656 5055,5056,4532,3142,3691,1133,2555,1757,3462,1510,2318,1409,3569,5057,2146, 438, # 672 2601,2910,2384,3354,1068, 958,3043, 461, 311,2869,2686,4217,1916,3210,4218,1979, # 688 383, 750,2755,2627,4219, 274, 539, 385,1278,1442,5058,1154,1965, 384, 561, 210, # 704 98,1295,2556,3570,5059,1711,2420,1482,3463,3987,2911,1257, 129,5060,3821, 642, # 720 523,2789,2790,2658,5061, 141,2235,1333, 68, 176, 441, 876, 907,4220, 603,2602, # 736 710, 171,3464, 404, 549, 18,3143,2398,1410,3692,1666,5062,3571,4533,2912,4534, # 752 5063,2991, 368,5064, 146, 366, 99, 871,3693,1543, 748, 807,1586,1185, 22,2263, # 768 379,3822,3211,5065,3212, 505,1942,2628,1992,1382,2319,5066, 380,2362, 218, 702, # 784 1818,1248,3465,3044,3572,3355,3282,5067,2992,3694, 930,3283,3823,5068, 59,5069, # 800 585, 601,4221, 497,3466,1112,1314,4535,1802,5070,1223,1472,2177,5071, 749,1837, # 816 690,1900,3824,1773,3988,1476, 429,1043,1791,2236,2117, 917,4222, 447,1086,1629, # 832 5072, 556,5073,5074,2021,1654, 844,1090, 105, 550, 966,1758,2828,1008,1783, 686, # 848 1095,5075,2287, 793,1602,5076,3573,2603,4536,4223,2948,2302,4537,3825, 980,2503, # 864 544, 353, 527,4538, 908,2687,2913,5077, 381,2629,1943,1348,5078,1341,1252, 560, # 880 3095,5079,3467,2870,5080,2054, 973, 886,2081, 143,4539,5081,5082, 157,3989, 496, # 896 4224, 57, 840, 540,2039,4540,4541,3468,2118,1445, 970,2264,1748,1966,2082,4225, # 912 3144,1234,1776,3284,2829,3695, 773,1206,2130,1066,2040,1326,3990,1738,1725,4226, # 928 279,3145, 51,1544,2604, 423,1578,2131,2067, 173,4542,1880,5083,5084,1583, 264, # 944 610,3696,4543,2444, 280, 154,5085,5086,5087,1739, 338,1282,3096, 693,2871,1411, # 960 1074,3826,2445,5088,4544,5089,5090,1240, 952,2399,5091,2914,1538,2688, 685,1483, # 976 4227,2475,1436, 953,4228,2055,4545, 671,2400, 79,4229,2446,3285, 608, 567,2689, # 992 3469,4230,4231,1691, 393,1261,1792,2401,5092,4546,5093,5094,5095,5096,1383,1672, # 1008 3827,3213,1464, 522,1119, 661,1150, 216, 675,4547,3991,1432,3574, 609,4548,2690, # 1024 2402,5097,5098,5099,4232,3045, 0,5100,2476, 315, 231,2447, 301,3356,4549,2385, # 1040 5101, 233,4233,3697,1819,4550,4551,5102, 96,1777,1315,2083,5103, 257,5104,1810, # 1056 3698,2718,1139,1820,4234,2022,1124,2164,2791,1778,2659,5105,3097, 363,1655,3214, # 1072 5106,2993,5107,5108,5109,3992,1567,3993, 718, 103,3215, 849,1443, 341,3357,2949, # 1088 1484,5110,1712, 127, 67, 339,4235,2403, 679,1412, 821,5111,5112, 834, 738, 351, # 1104 2994,2147, 846, 235,1497,1881, 418,1993,3828,2719, 186,1100,2148,2756,3575,1545, # 1120 1355,2950,2872,1377, 583,3994,4236,2581,2995,5113,1298,3699,1078,2557,3700,2363, # 1136 78,3829,3830, 267,1289,2100,2002,1594,4237, 348, 369,1274,2197,2178,1838,4552, # 1152 1821,2830,3701,2757,2288,2003,4553,2951,2758, 144,3358, 882,4554,3995,2759,3470, # 1168 4555,2915,5114,4238,1726, 320,5115,3996,3046, 788,2996,5116,2831,1774,1327,2873, # 1184 3997,2832,5117,1306,4556,2004,1700,3831,3576,2364,2660, 787,2023, 506, 824,3702, # 1200 534, 323,4557,1044,3359,2024,1901, 946,3471,5118,1779,1500,1678,5119,1882,4558, # 1216 165, 243,4559,3703,2528, 123, 683,4239, 764,4560, 36,3998,1793, 589,2916, 816, # 1232 626,1667,3047,2237,1639,1555,1622,3832,3999,5120,4000,2874,1370,1228,1933, 891, # 1248 2084,2917, 304,4240,5121, 292,2997,2720,3577, 691,2101,4241,1115,4561, 118, 662, # 1264 5122, 611,1156, 854,2386,1316,2875, 2, 386, 515,2918,5123,5124,3286, 868,2238, # 1280 1486, 855,2661, 785,2216,3048,5125,1040,3216,3578,5126,3146, 448,5127,1525,5128, # 1296 2165,4562,5129,3833,5130,4242,2833,3579,3147, 503, 818,4001,3148,1568, 814, 676, # 1312 1444, 306,1749,5131,3834,1416,1030, 197,1428, 805,2834,1501,4563,5132,5133,5134, # 1328 1994,5135,4564,5136,5137,2198, 13,2792,3704,2998,3149,1229,1917,5138,3835,2132, # 1344 5139,4243,4565,2404,3580,5140,2217,1511,1727,1120,5141,5142, 646,3836,2448, 307, # 1360 5143,5144,1595,3217,5145,5146,5147,3705,1113,1356,4002,1465,2529,2530,5148, 519, # 1376 5149, 128,2133, 92,2289,1980,5150,4003,1512, 342,3150,2199,5151,2793,2218,1981, # 1392 3360,4244, 290,1656,1317, 789, 827,2365,5152,3837,4566, 562, 581,4004,5153, 401, # 1408 4567,2252, 94,4568,5154,1399,2794,5155,1463,2025,4569,3218,1944,5156, 828,1105, # 1424 4245,1262,1394,5157,4246, 605,4570,5158,1784,2876,5159,2835, 819,2102, 578,2200, # 1440 2952,5160,1502, 436,3287,4247,3288,2836,4005,2919,3472,3473,5161,2721,2320,5162, # 1456 5163,2337,2068, 23,4571, 193, 826,3838,2103, 699,1630,4248,3098, 390,1794,1064, # 1472 3581,5164,1579,3099,3100,1400,5165,4249,1839,1640,2877,5166,4572,4573, 137,4250, # 1488 598,3101,1967, 780, 104, 974,2953,5167, 278, 899, 253, 402, 572, 504, 493,1339, # 1504 5168,4006,1275,4574,2582,2558,5169,3706,3049,3102,2253, 565,1334,2722, 863, 41, # 1520 5170,5171,4575,5172,1657,2338, 19, 463,2760,4251, 606,5173,2999,3289,1087,2085, # 1536 1323,2662,3000,5174,1631,1623,1750,4252,2691,5175,2878, 791,2723,2663,2339, 232, # 1552 2421,5176,3001,1498,5177,2664,2630, 755,1366,3707,3290,3151,2026,1609, 119,1918, # 1568 3474, 862,1026,4253,5178,4007,3839,4576,4008,4577,2265,1952,2477,5179,1125, 817, # 1584 4254,4255,4009,1513,1766,2041,1487,4256,3050,3291,2837,3840,3152,5180,5181,1507, # 1600 5182,2692, 733, 40,1632,1106,2879, 345,4257, 841,2531, 230,4578,3002,1847,3292, # 1616 3475,5183,1263, 986,3476,5184, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562, # 1632 4010,4011,2954, 967,2761,2665,1349, 592,2134,1692,3361,3003,1995,4258,1679,4012, # 1648 1902,2188,5185, 739,3708,2724,1296,1290,5186,4259,2201,2202,1922,1563,2605,2559, # 1664 1871,2762,3004,5187, 435,5188, 343,1108, 596, 17,1751,4579,2239,3477,3709,5189, # 1680 4580, 294,3582,2955,1693, 477, 979, 281,2042,3583, 643,2043,3710,2631,2795,2266, # 1696 1031,2340,2135,2303,3584,4581, 367,1249,2560,5190,3585,5191,4582,1283,3362,2005, # 1712 240,1762,3363,4583,4584, 836,1069,3153, 474,5192,2149,2532, 268,3586,5193,3219, # 1728 1521,1284,5194,1658,1546,4260,5195,3587,3588,5196,4261,3364,2693,1685,4262, 961, # 1744 1673,2632, 190,2006,2203,3841,4585,4586,5197, 570,2504,3711,1490,5198,4587,2633, # 1760 3293,1957,4588, 584,1514, 396,1045,1945,5199,4589,1968,2449,5200,5201,4590,4013, # 1776 619,5202,3154,3294, 215,2007,2796,2561,3220,4591,3221,4592, 763,4263,3842,4593, # 1792 5203,5204,1958,1767,2956,3365,3712,1174, 452,1477,4594,3366,3155,5205,2838,1253, # 1808 2387,2189,1091,2290,4264, 492,5206, 638,1169,1825,2136,1752,4014, 648, 926,1021, # 1824 1324,4595, 520,4596, 997, 847,1007, 892,4597,3843,2267,1872,3713,2405,1785,4598, # 1840 1953,2957,3103,3222,1728,4265,2044,3714,4599,2008,1701,3156,1551, 30,2268,4266, # 1856 5207,2027,4600,3589,5208, 501,5209,4267, 594,3478,2166,1822,3590,3479,3591,3223, # 1872 829,2839,4268,5210,1680,3157,1225,4269,5211,3295,4601,4270,3158,2341,5212,4602, # 1888 4271,5213,4015,4016,5214,1848,2388,2606,3367,5215,4603, 374,4017, 652,4272,4273, # 1904 375,1140, 798,5216,5217,5218,2366,4604,2269, 546,1659, 138,3051,2450,4605,5219, # 1920 2254, 612,1849, 910, 796,3844,1740,1371, 825,3845,3846,5220,2920,2562,5221, 692, # 1936 444,3052,2634, 801,4606,4274,5222,1491, 244,1053,3053,4275,4276, 340,5223,4018, # 1952 1041,3005, 293,1168, 87,1357,5224,1539, 959,5225,2240, 721, 694,4277,3847, 219, # 1968 1478, 644,1417,3368,2666,1413,1401,1335,1389,4019,5226,5227,3006,2367,3159,1826, # 1984 730,1515, 184,2840, 66,4607,5228,1660,2958, 246,3369, 378,1457, 226,3480, 975, # 2000 4020,2959,1264,3592, 674, 696,5229, 163,5230,1141,2422,2167, 713,3593,3370,4608, # 2016 4021,5231,5232,1186, 15,5233,1079,1070,5234,1522,3224,3594, 276,1050,2725, 758, # 2032 1126, 653,2960,3296,5235,2342, 889,3595,4022,3104,3007, 903,1250,4609,4023,3481, # 2048 3596,1342,1681,1718, 766,3297, 286, 89,2961,3715,5236,1713,5237,2607,3371,3008, # 2064 5238,2962,2219,3225,2880,5239,4610,2505,2533, 181, 387,1075,4024, 731,2190,3372, # 2080 5240,3298, 310, 313,3482,2304, 770,4278, 54,3054, 189,4611,3105,3848,4025,5241, # 2096 1230,1617,1850, 355,3597,4279,4612,3373, 111,4280,3716,1350,3160,3483,3055,4281, # 2112 2150,3299,3598,5242,2797,4026,4027,3009, 722,2009,5243,1071, 247,1207,2343,2478, # 2128 1378,4613,2010, 864,1437,1214,4614, 373,3849,1142,2220, 667,4615, 442,2763,2563, # 2144 3850,4028,1969,4282,3300,1840, 837, 170,1107, 934,1336,1883,5244,5245,2119,4283, # 2160 2841, 743,1569,5246,4616,4284, 582,2389,1418,3484,5247,1803,5248, 357,1395,1729, # 2176 3717,3301,2423,1564,2241,5249,3106,3851,1633,4617,1114,2086,4285,1532,5250, 482, # 2192 2451,4618,5251,5252,1492, 833,1466,5253,2726,3599,1641,2842,5254,1526,1272,3718, # 2208 4286,1686,1795, 416,2564,1903,1954,1804,5255,3852,2798,3853,1159,2321,5256,2881, # 2224 4619,1610,1584,3056,2424,2764, 443,3302,1163,3161,5257,5258,4029,5259,4287,2506, # 2240 3057,4620,4030,3162,2104,1647,3600,2011,1873,4288,5260,4289, 431,3485,5261, 250, # 2256 97, 81,4290,5262,1648,1851,1558, 160, 848,5263, 866, 740,1694,5264,2204,2843, # 2272 3226,4291,4621,3719,1687, 950,2479, 426, 469,3227,3720,3721,4031,5265,5266,1188, # 2288 424,1996, 861,3601,4292,3854,2205,2694, 168,1235,3602,4293,5267,2087,1674,4622, # 2304 3374,3303, 220,2565,1009,5268,3855, 670,3010, 332,1208, 717,5269,5270,3603,2452, # 2320 4032,3375,5271, 513,5272,1209,2882,3376,3163,4623,1080,5273,5274,5275,5276,2534, # 2336 3722,3604, 815,1587,4033,4034,5277,3605,3486,3856,1254,4624,1328,3058,1390,4035, # 2352 1741,4036,3857,4037,5278, 236,3858,2453,3304,5279,5280,3723,3859,1273,3860,4625, # 2368 5281, 308,5282,4626, 245,4627,1852,2480,1307,2583, 430, 715,2137,2454,5283, 270, # 2384 199,2883,4038,5284,3606,2727,1753, 761,1754, 725,1661,1841,4628,3487,3724,5285, # 2400 5286, 587, 14,3305, 227,2608, 326, 480,2270, 943,2765,3607, 291, 650,1884,5287, # 2416 1702,1226, 102,1547, 62,3488, 904,4629,3489,1164,4294,5288,5289,1224,1548,2766, # 2432 391, 498,1493,5290,1386,1419,5291,2056,1177,4630, 813, 880,1081,2368, 566,1145, # 2448 4631,2291,1001,1035,2566,2609,2242, 394,1286,5292,5293,2069,5294, 86,1494,1730, # 2464 4039, 491,1588, 745, 897,2963, 843,3377,4040,2767,2884,3306,1768, 998,2221,2070, # 2480 397,1827,1195,1970,3725,3011,3378, 284,5295,3861,2507,2138,2120,1904,5296,4041, # 2496 2151,4042,4295,1036,3490,1905, 114,2567,4296, 209,1527,5297,5298,2964,2844,2635, # 2512 2390,2728,3164, 812,2568,5299,3307,5300,1559, 737,1885,3726,1210, 885, 28,2695, # 2528 3608,3862,5301,4297,1004,1780,4632,5302, 346,1982,2222,2696,4633,3863,1742, 797, # 2544 1642,4043,1934,1072,1384,2152, 896,4044,3308,3727,3228,2885,3609,5303,2569,1959, # 2560 4634,2455,1786,5304,5305,5306,4045,4298,1005,1308,3728,4299,2729,4635,4636,1528, # 2576 2610, 161,1178,4300,1983, 987,4637,1101,4301, 631,4046,1157,3229,2425,1343,1241, # 2592 1016,2243,2570, 372, 877,2344,2508,1160, 555,1935, 911,4047,5307, 466,1170, 169, # 2608 1051,2921,2697,3729,2481,3012,1182,2012,2571,1251,2636,5308, 992,2345,3491,1540, # 2624 2730,1201,2071,2406,1997,2482,5309,4638, 528,1923,2191,1503,1874,1570,2369,3379, # 2640 3309,5310, 557,1073,5311,1828,3492,2088,2271,3165,3059,3107, 767,3108,2799,4639, # 2656 1006,4302,4640,2346,1267,2179,3730,3230, 778,4048,3231,2731,1597,2667,5312,4641, # 2672 5313,3493,5314,5315,5316,3310,2698,1433,3311, 131, 95,1504,4049, 723,4303,3166, # 2688 1842,3610,2768,2192,4050,2028,2105,3731,5317,3013,4051,1218,5318,3380,3232,4052, # 2704 4304,2584, 248,1634,3864, 912,5319,2845,3732,3060,3865, 654, 53,5320,3014,5321, # 2720 1688,4642, 777,3494,1032,4053,1425,5322, 191, 820,2121,2846, 971,4643, 931,3233, # 2736 135, 664, 783,3866,1998, 772,2922,1936,4054,3867,4644,2923,3234, 282,2732, 640, # 2752 1372,3495,1127, 922, 325,3381,5323,5324, 711,2045,5325,5326,4055,2223,2800,1937, # 2768 4056,3382,2224,2255,3868,2305,5327,4645,3869,1258,3312,4057,3235,2139,2965,4058, # 2784 4059,5328,2225, 258,3236,4646, 101,1227,5329,3313,1755,5330,1391,3314,5331,2924, # 2800 2057, 893,5332,5333,5334,1402,4305,2347,5335,5336,3237,3611,5337,5338, 878,1325, # 2816 1781,2801,4647, 259,1385,2585, 744,1183,2272,4648,5339,4060,2509,5340, 684,1024, # 2832 4306,5341, 472,3612,3496,1165,3315,4061,4062, 322,2153, 881, 455,1695,1152,1340, # 2848 660, 554,2154,4649,1058,4650,4307, 830,1065,3383,4063,4651,1924,5342,1703,1919, # 2864 5343, 932,2273, 122,5344,4652, 947, 677,5345,3870,2637, 297,1906,1925,2274,4653, # 2880 2322,3316,5346,5347,4308,5348,4309, 84,4310, 112, 989,5349, 547,1059,4064, 701, # 2896 3613,1019,5350,4311,5351,3497, 942, 639, 457,2306,2456, 993,2966, 407, 851, 494, # 2912 4654,3384, 927,5352,1237,5353,2426,3385, 573,4312, 680, 921,2925,1279,1875, 285, # 2928 790,1448,1984, 719,2168,5354,5355,4655,4065,4066,1649,5356,1541, 563,5357,1077, # 2944 5358,3386,3061,3498, 511,3015,4067,4068,3733,4069,1268,2572,3387,3238,4656,4657, # 2960 5359, 535,1048,1276,1189,2926,2029,3167,1438,1373,2847,2967,1134,2013,5360,4313, # 2976 1238,2586,3109,1259,5361, 700,5362,2968,3168,3734,4314,5363,4315,1146,1876,1907, # 2992 4658,2611,4070, 781,2427, 132,1589, 203, 147, 273,2802,2407, 898,1787,2155,4071, # 3008 4072,5364,3871,2803,5365,5366,4659,4660,5367,3239,5368,1635,3872, 965,5369,1805, # 3024 2699,1516,3614,1121,1082,1329,3317,4073,1449,3873, 65,1128,2848,2927,2769,1590, # 3040 3874,5370,5371, 12,2668, 45, 976,2587,3169,4661, 517,2535,1013,1037,3240,5372, # 3056 3875,2849,5373,3876,5374,3499,5375,2612, 614,1999,2323,3877,3110,2733,2638,5376, # 3072 2588,4316, 599,1269,5377,1811,3735,5378,2700,3111, 759,1060, 489,1806,3388,3318, # 3088 1358,5379,5380,2391,1387,1215,2639,2256, 490,5381,5382,4317,1759,2392,2348,5383, # 3104 4662,3878,1908,4074,2640,1807,3241,4663,3500,3319,2770,2349, 874,5384,5385,3501, # 3120 3736,1859, 91,2928,3737,3062,3879,4664,5386,3170,4075,2669,5387,3502,1202,1403, # 3136 3880,2969,2536,1517,2510,4665,3503,2511,5388,4666,5389,2701,1886,1495,1731,4076, # 3152 2370,4667,5390,2030,5391,5392,4077,2702,1216, 237,2589,4318,2324,4078,3881,4668, # 3168 4669,2703,3615,3504, 445,4670,5393,5394,5395,5396,2771, 61,4079,3738,1823,4080, # 3184 5397, 687,2046, 935, 925, 405,2670, 703,1096,1860,2734,4671,4081,1877,1367,2704, # 3200 3389, 918,2106,1782,2483, 334,3320,1611,1093,4672, 564,3171,3505,3739,3390, 945, # 3216 2641,2058,4673,5398,1926, 872,4319,5399,3506,2705,3112, 349,4320,3740,4082,4674, # 3232 3882,4321,3741,2156,4083,4675,4676,4322,4677,2408,2047, 782,4084, 400, 251,4323, # 3248 1624,5400,5401, 277,3742, 299,1265, 476,1191,3883,2122,4324,4325,1109, 205,5402, # 3264 2590,1000,2157,3616,1861,5403,5404,5405,4678,5406,4679,2573, 107,2484,2158,4085, # 3280 3507,3172,5407,1533, 541,1301, 158, 753,4326,2886,3617,5408,1696, 370,1088,4327, # 3296 4680,3618, 579, 327, 440, 162,2244, 269,1938,1374,3508, 968,3063, 56,1396,3113, # 3312 2107,3321,3391,5409,1927,2159,4681,3016,5410,3619,5411,5412,3743,4682,2485,5413, # 3328 2804,5414,1650,4683,5415,2613,5416,5417,4086,2671,3392,1149,3393,4087,3884,4088, # 3344 5418,1076, 49,5419, 951,3242,3322,3323, 450,2850, 920,5420,1812,2805,2371,4328, # 3360 1909,1138,2372,3885,3509,5421,3243,4684,1910,1147,1518,2428,4685,3886,5422,4686, # 3376 2393,2614, 260,1796,3244,5423,5424,3887,3324, 708,5425,3620,1704,5426,3621,1351, # 3392 1618,3394,3017,1887, 944,4329,3395,4330,3064,3396,4331,5427,3744, 422, 413,1714, # 3408 3325, 500,2059,2350,4332,2486,5428,1344,1911, 954,5429,1668,5430,5431,4089,2409, # 3424 4333,3622,3888,4334,5432,2307,1318,2512,3114, 133,3115,2887,4687, 629, 31,2851, # 3440 2706,3889,4688, 850, 949,4689,4090,2970,1732,2089,4335,1496,1853,5433,4091, 620, # 3456 3245, 981,1242,3745,3397,1619,3746,1643,3326,2140,2457,1971,1719,3510,2169,5434, # 3472 3246,5435,5436,3398,1829,5437,1277,4690,1565,2048,5438,1636,3623,3116,5439, 869, # 3488 2852, 655,3890,3891,3117,4092,3018,3892,1310,3624,4691,5440,5441,5442,1733, 558, # 3504 4692,3747, 335,1549,3065,1756,4336,3748,1946,3511,1830,1291,1192, 470,2735,2108, # 3520 2806, 913,1054,4093,5443,1027,5444,3066,4094,4693, 982,2672,3399,3173,3512,3247, # 3536 3248,1947,2807,5445, 571,4694,5446,1831,5447,3625,2591,1523,2429,5448,2090, 984, # 3552 4695,3749,1960,5449,3750, 852, 923,2808,3513,3751, 969,1519, 999,2049,2325,1705, # 3568 5450,3118, 615,1662, 151, 597,4095,2410,2326,1049, 275,4696,3752,4337, 568,3753, # 3584 3626,2487,4338,3754,5451,2430,2275, 409,3249,5452,1566,2888,3514,1002, 769,2853, # 3600 194,2091,3174,3755,2226,3327,4339, 628,1505,5453,5454,1763,2180,3019,4096, 521, # 3616 1161,2592,1788,2206,2411,4697,4097,1625,4340,4341, 412, 42,3119, 464,5455,2642, # 3632 4698,3400,1760,1571,2889,3515,2537,1219,2207,3893,2643,2141,2373,4699,4700,3328, # 3648 1651,3401,3627,5456,5457,3628,2488,3516,5458,3756,5459,5460,2276,2092, 460,5461, # 3664 4701,5462,3020, 962, 588,3629, 289,3250,2644,1116, 52,5463,3067,1797,5464,5465, # 3680 5466,1467,5467,1598,1143,3757,4342,1985,1734,1067,4702,1280,3402, 465,4703,1572, # 3696 510,5468,1928,2245,1813,1644,3630,5469,4704,3758,5470,5471,2673,1573,1534,5472, # 3712 5473, 536,1808,1761,3517,3894,3175,2645,5474,5475,5476,4705,3518,2929,1912,2809, # 3728 5477,3329,1122, 377,3251,5478, 360,5479,5480,4343,1529, 551,5481,2060,3759,1769, # 3744 2431,5482,2930,4344,3330,3120,2327,2109,2031,4706,1404, 136,1468,1479, 672,1171, # 3760 3252,2308, 271,3176,5483,2772,5484,2050, 678,2736, 865,1948,4707,5485,2014,4098, # 3776 2971,5486,2737,2227,1397,3068,3760,4708,4709,1735,2931,3403,3631,5487,3895, 509, # 3792 2854,2458,2890,3896,5488,5489,3177,3178,4710,4345,2538,4711,2309,1166,1010, 552, # 3808 681,1888,5490,5491,2972,2973,4099,1287,1596,1862,3179, 358, 453, 736, 175, 478, # 3824 1117, 905,1167,1097,5492,1854,1530,5493,1706,5494,2181,3519,2292,3761,3520,3632, # 3840 4346,2093,4347,5495,3404,1193,2489,4348,1458,2193,2208,1863,1889,1421,3331,2932, # 3856 3069,2182,3521, 595,2123,5496,4100,5497,5498,4349,1707,2646, 223,3762,1359, 751, # 3872 3121, 183,3522,5499,2810,3021, 419,2374, 633, 704,3897,2394, 241,5500,5501,5502, # 3888 838,3022,3763,2277,2773,2459,3898,1939,2051,4101,1309,3122,2246,1181,5503,1136, # 3904 2209,3899,2375,1446,4350,2310,4712,5504,5505,4351,1055,2615, 484,3764,5506,4102, # 3920 625,4352,2278,3405,1499,4353,4103,5507,4104,4354,3253,2279,2280,3523,5508,5509, # 3936 2774, 808,2616,3765,3406,4105,4355,3123,2539, 526,3407,3900,4356, 955,5510,1620, # 3952 4357,2647,2432,5511,1429,3766,1669,1832, 994, 928,5512,3633,1260,5513,5514,5515, # 3968 1949,2293, 741,2933,1626,4358,2738,2460, 867,1184, 362,3408,1392,5516,5517,4106, # 3984 4359,1770,1736,3254,2934,4713,4714,1929,2707,1459,1158,5518,3070,3409,2891,1292, # 4000 1930,2513,2855,3767,1986,1187,2072,2015,2617,4360,5519,2574,2514,2170,3768,2490, # 4016 3332,5520,3769,4715,5521,5522, 666,1003,3023,1022,3634,4361,5523,4716,1814,2257, # 4032 574,3901,1603, 295,1535, 705,3902,4362, 283, 858, 417,5524,5525,3255,4717,4718, # 4048 3071,1220,1890,1046,2281,2461,4107,1393,1599, 689,2575, 388,4363,5526,2491, 802, # 4064 5527,2811,3903,2061,1405,2258,5528,4719,3904,2110,1052,1345,3256,1585,5529, 809, # 4080 5530,5531,5532, 575,2739,3524, 956,1552,1469,1144,2328,5533,2329,1560,2462,3635, # 4096 3257,4108, 616,2210,4364,3180,2183,2294,5534,1833,5535,3525,4720,5536,1319,3770, # 4112 3771,1211,3636,1023,3258,1293,2812,5537,5538,5539,3905, 607,2311,3906, 762,2892, # 4128 1439,4365,1360,4721,1485,3072,5540,4722,1038,4366,1450,2062,2648,4367,1379,4723, # 4144 2593,5541,5542,4368,1352,1414,2330,2935,1172,5543,5544,3907,3908,4724,1798,1451, # 4160 5545,5546,5547,5548,2936,4109,4110,2492,2351, 411,4111,4112,3637,3333,3124,4725, # 4176 1561,2674,1452,4113,1375,5549,5550, 47,2974, 316,5551,1406,1591,2937,3181,5552, # 4192 1025,2142,3125,3182, 354,2740, 884,2228,4369,2412, 508,3772, 726,3638, 996,2433, # 4208 3639, 729,5553, 392,2194,1453,4114,4726,3773,5554,5555,2463,3640,2618,1675,2813, # 4224 919,2352,2975,2353,1270,4727,4115, 73,5556,5557, 647,5558,3259,2856,2259,1550, # 4240 1346,3024,5559,1332, 883,3526,5560,5561,5562,5563,3334,2775,5564,1212, 831,1347, # 4256 4370,4728,2331,3909,1864,3073, 720,3910,4729,4730,3911,5565,4371,5566,5567,4731, # 4272 5568,5569,1799,4732,3774,2619,4733,3641,1645,2376,4734,5570,2938, 669,2211,2675, # 4288 2434,5571,2893,5572,5573,1028,3260,5574,4372,2413,5575,2260,1353,5576,5577,4735, # 4304 3183, 518,5578,4116,5579,4373,1961,5580,2143,4374,5581,5582,3025,2354,2355,3912, # 4320 516,1834,1454,4117,2708,4375,4736,2229,2620,1972,1129,3642,5583,2776,5584,2976, # 4336 1422, 577,1470,3026,1524,3410,5585,5586, 432,4376,3074,3527,5587,2594,1455,2515, # 4352 2230,1973,1175,5588,1020,2741,4118,3528,4737,5589,2742,5590,1743,1361,3075,3529, # 4368 2649,4119,4377,4738,2295, 895, 924,4378,2171, 331,2247,3076, 166,1627,3077,1098, # 4384 5591,1232,2894,2231,3411,4739, 657, 403,1196,2377, 542,3775,3412,1600,4379,3530, # 4400 5592,4740,2777,3261, 576, 530,1362,4741,4742,2540,2676,3776,4120,5593, 842,3913, # 4416 5594,2814,2032,1014,4121, 213,2709,3413, 665, 621,4380,5595,3777,2939,2435,5596, # 4432 2436,3335,3643,3414,4743,4381,2541,4382,4744,3644,1682,4383,3531,1380,5597, 724, # 4448 2282, 600,1670,5598,1337,1233,4745,3126,2248,5599,1621,4746,5600, 651,4384,5601, # 4464 1612,4385,2621,5602,2857,5603,2743,2312,3078,5604, 716,2464,3079, 174,1255,2710, # 4480 4122,3645, 548,1320,1398, 728,4123,1574,5605,1891,1197,3080,4124,5606,3081,3082, # 4496 3778,3646,3779, 747,5607, 635,4386,4747,5608,5609,5610,4387,5611,5612,4748,5613, # 4512 3415,4749,2437, 451,5614,3780,2542,2073,4388,2744,4389,4125,5615,1764,4750,5616, # 4528 4390, 350,4751,2283,2395,2493,5617,4391,4126,2249,1434,4127, 488,4752, 458,4392, # 4544 4128,3781, 771,1330,2396,3914,2576,3184,2160,2414,1553,2677,3185,4393,5618,2494, # 4560 2895,2622,1720,2711,4394,3416,4753,5619,2543,4395,5620,3262,4396,2778,5621,2016, # 4576 2745,5622,1155,1017,3782,3915,5623,3336,2313, 201,1865,4397,1430,5624,4129,5625, # 4592 5626,5627,5628,5629,4398,1604,5630, 414,1866, 371,2595,4754,4755,3532,2017,3127, # 4608 4756,1708, 960,4399, 887, 389,2172,1536,1663,1721,5631,2232,4130,2356,2940,1580, # 4624 5632,5633,1744,4757,2544,4758,4759,5634,4760,5635,2074,5636,4761,3647,3417,2896, # 4640 4400,5637,4401,2650,3418,2815, 673,2712,2465, 709,3533,4131,3648,4402,5638,1148, # 4656 502, 634,5639,5640,1204,4762,3649,1575,4763,2623,3783,5641,3784,3128, 948,3263, # 4672 121,1745,3916,1110,5642,4403,3083,2516,3027,4132,3785,1151,1771,3917,1488,4133, # 4688 1987,5643,2438,3534,5644,5645,2094,5646,4404,3918,1213,1407,2816, 531,2746,2545, # 4704 3264,1011,1537,4764,2779,4405,3129,1061,5647,3786,3787,1867,2897,5648,2018, 120, # 4720 4406,4407,2063,3650,3265,2314,3919,2678,3419,1955,4765,4134,5649,3535,1047,2713, # 4736 1266,5650,1368,4766,2858, 649,3420,3920,2546,2747,1102,2859,2679,5651,5652,2000, # 4752 5653,1111,3651,2977,5654,2495,3921,3652,2817,1855,3421,3788,5655,5656,3422,2415, # 4768 2898,3337,3266,3653,5657,2577,5658,3654,2818,4135,1460, 856,5659,3655,5660,2899, # 4784 2978,5661,2900,3922,5662,4408, 632,2517, 875,3923,1697,3924,2296,5663,5664,4767, # 4800 3028,1239, 580,4768,4409,5665, 914, 936,2075,1190,4136,1039,2124,5666,5667,5668, # 4816 5669,3423,1473,5670,1354,4410,3925,4769,2173,3084,4137, 915,3338,4411,4412,3339, # 4832 1605,1835,5671,2748, 398,3656,4413,3926,4138, 328,1913,2860,4139,3927,1331,4414, # 4848 3029, 937,4415,5672,3657,4140,4141,3424,2161,4770,3425, 524, 742, 538,3085,1012, # 4864 5673,5674,3928,2466,5675, 658,1103, 225,3929,5676,5677,4771,5678,4772,5679,3267, # 4880 1243,5680,4142, 963,2250,4773,5681,2714,3658,3186,5682,5683,2596,2332,5684,4774, # 4896 5685,5686,5687,3536, 957,3426,2547,2033,1931,2941,2467, 870,2019,3659,1746,2780, # 4912 2781,2439,2468,5688,3930,5689,3789,3130,3790,3537,3427,3791,5690,1179,3086,5691, # 4928 3187,2378,4416,3792,2548,3188,3131,2749,4143,5692,3428,1556,2549,2297, 977,2901, # 4944 2034,4144,1205,3429,5693,1765,3430,3189,2125,1271, 714,1689,4775,3538,5694,2333, # 4960 3931, 533,4417,3660,2184, 617,5695,2469,3340,3539,2315,5696,5697,3190,5698,5699, # 4976 3932,1988, 618, 427,2651,3540,3431,5700,5701,1244,1690,5702,2819,4418,4776,5703, # 4992 3541,4777,5704,2284,1576, 473,3661,4419,3432, 972,5705,3662,5706,3087,5707,5708, # 5008 4778,4779,5709,3793,4145,4146,5710, 153,4780, 356,5711,1892,2902,4420,2144, 408, # 5024 803,2357,5712,3933,5713,4421,1646,2578,2518,4781,4782,3934,5714,3935,4422,5715, # 5040 2416,3433, 752,5716,5717,1962,3341,2979,5718, 746,3030,2470,4783,4423,3794, 698, # 5056 4784,1893,4424,3663,2550,4785,3664,3936,5719,3191,3434,5720,1824,1302,4147,2715, # 5072 3937,1974,4425,5721,4426,3192, 823,1303,1288,1236,2861,3542,4148,3435, 774,3938, # 5088 5722,1581,4786,1304,2862,3939,4787,5723,2440,2162,1083,3268,4427,4149,4428, 344, # 5104 1173, 288,2316, 454,1683,5724,5725,1461,4788,4150,2597,5726,5727,4789, 985, 894, # 5120 5728,3436,3193,5729,1914,2942,3795,1989,5730,2111,1975,5731,4151,5732,2579,1194, # 5136 425,5733,4790,3194,1245,3796,4429,5734,5735,2863,5736, 636,4791,1856,3940, 760, # 5152 1800,5737,4430,2212,1508,4792,4152,1894,1684,2298,5738,5739,4793,4431,4432,2213, # 5168 479,5740,5741, 832,5742,4153,2496,5743,2980,2497,3797, 990,3132, 627,1815,2652, # 5184 4433,1582,4434,2126,2112,3543,4794,5744, 799,4435,3195,5745,4795,2113,1737,3031, # 5200 1018, 543, 754,4436,3342,1676,4796,4797,4154,4798,1489,5746,3544,5747,2624,2903, # 5216 4155,5748,5749,2981,5750,5751,5752,5753,3196,4799,4800,2185,1722,5754,3269,3270, # 5232 1843,3665,1715, 481, 365,1976,1857,5755,5756,1963,2498,4801,5757,2127,3666,3271, # 5248 433,1895,2064,2076,5758, 602,2750,5759,5760,5761,5762,5763,3032,1628,3437,5764, # 5264 3197,4802,4156,2904,4803,2519,5765,2551,2782,5766,5767,5768,3343,4804,2905,5769, # 5280 4805,5770,2864,4806,4807,1221,2982,4157,2520,5771,5772,5773,1868,1990,5774,5775, # 5296 5776,1896,5777,5778,4808,1897,4158, 318,5779,2095,4159,4437,5780,5781, 485,5782, # 5312 938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328 3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344 890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360 2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 #last 512 #Everything below is of no interest for detection purpose 2522,1613,4812,5799,3345,3945,2523,5800,4162,5801,1637,4163,2471,4813,3946,5802, # 5392 2500,3034,3800,5803,5804,2195,4814,5805,2163,5806,5807,5808,5809,5810,5811,5812, # 5408 5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828, # 5424 5829,5830,5831,5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844, # 5440 5845,5846,5847,5848,5849,5850,5851,5852,5853,5854,5855,5856,5857,5858,5859,5860, # 5456 5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876, # 5472 5877,5878,5879,5880,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892, # 5488 5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908, # 5504 5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922,5923,5924, # 5520 5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940, # 5536 5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,5952,5953,5954,5955,5956, # 5552 5957,5958,5959,5960,5961,5962,5963,5964,5965,5966,5967,5968,5969,5970,5971,5972, # 5568 5973,5974,5975,5976,5977,5978,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988, # 5584 5989,5990,5991,5992,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004, # 5600 6005,6006,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020, # 5616 6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034,6035,6036, # 5632 6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052, # 5648 6053,6054,6055,6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068, # 5664 6069,6070,6071,6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084, # 5680 6085,6086,6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100, # 5696 6101,6102,6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116, # 5712 6117,6118,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132, # 5728 6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146,6147,6148, # 5744 6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,6164, # 5760 6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,6180, # 5776 6181,6182,6183,6184,6185,6186,6187,6188,6189,6190,6191,6192,6193,6194,6195,6196, # 5792 6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212, # 5808 6213,6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,3670,6224,6225,6226,6227, # 5824 6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243, # 5840 6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259, # 5856 6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272,6273,6274,6275, # 5872 6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,4815,6286,6287,6288,6289,6290, # 5888 6291,6292,4816,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,6303,6304,6305, # 5904 6306,6307,6308,6309,6310,6311,4817,4818,6312,6313,6314,6315,6316,6317,6318,4819, # 5920 6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,6334, # 5936 6335,6336,6337,4820,6338,6339,6340,6341,6342,6343,6344,6345,6346,6347,6348,6349, # 5952 6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,6364,6365, # 5968 6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381, # 5984 6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397, # 6000 6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,3441,6411,6412, # 6016 6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,4440,6426,6427, # 6032 6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440,6441,6442,6443, # 6048 6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,4821,6455,6456,6457,6458, # 6064 6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,6473,6474, # 6080 6475,6476,6477,3947,3948,6478,6479,6480,6481,3272,4441,6482,6483,6484,6485,4442, # 6096 6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496,4822,6497,6498,6499,6500, # 6112 6501,6502,6503,6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516, # 6128 6517,6518,6519,6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532, # 6144 6533,6534,6535,6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548, # 6160 6549,6550,6551,6552,6553,6554,6555,6556,2784,6557,4823,6558,6559,6560,6561,6562, # 6176 6563,6564,6565,6566,6567,6568,6569,3949,6570,6571,6572,4824,6573,6574,6575,6576, # 6192 6577,6578,6579,6580,6581,6582,6583,4825,6584,6585,6586,3950,2785,6587,6588,6589, # 6208 6590,6591,6592,6593,6594,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605, # 6224 6606,6607,6608,6609,6610,6611,6612,4826,6613,6614,6615,4827,6616,6617,6618,6619, # 6240 6620,6621,6622,6623,6624,6625,4164,6626,6627,6628,6629,6630,6631,6632,6633,6634, # 6256 3547,6635,4828,6636,6637,6638,6639,6640,6641,6642,3951,2984,6643,6644,6645,6646, # 6272 6647,6648,6649,4165,6650,4829,6651,6652,4830,6653,6654,6655,6656,6657,6658,6659, # 6288 6660,6661,6662,4831,6663,6664,6665,6666,6667,6668,6669,6670,6671,4166,6672,4832, # 6304 3952,6673,6674,6675,6676,4833,6677,6678,6679,4167,6680,6681,6682,3198,6683,6684, # 6320 6685,6686,6687,6688,6689,6690,6691,6692,6693,6694,6695,6696,6697,4834,6698,6699, # 6336 6700,6701,6702,6703,6704,6705,6706,6707,6708,6709,6710,6711,6712,6713,6714,6715, # 6352 6716,6717,6718,6719,6720,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731, # 6368 6732,6733,6734,4443,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,4444, # 6384 6746,6747,6748,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761, # 6400 6762,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777, # 6416 6778,6779,6780,6781,4168,6782,6783,3442,6784,6785,6786,6787,6788,6789,6790,6791, # 6432 4169,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806, # 6448 6807,6808,6809,6810,6811,4835,6812,6813,6814,4445,6815,6816,4446,6817,6818,6819, # 6464 6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832,6833,6834,6835, # 6480 3548,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846,4836,6847,6848,6849, # 6496 6850,6851,6852,6853,6854,3953,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864, # 6512 6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877,3199,6878,6879, # 6528 6880,6881,6882,4447,6883,6884,6885,6886,6887,6888,6889,6890,6891,6892,6893,6894, # 6544 6895,6896,6897,6898,6899,6900,6901,6902,6903,6904,4170,6905,6906,6907,6908,6909, # 6560 6910,6911,6912,6913,6914,6915,6916,6917,6918,6919,6920,6921,6922,6923,6924,6925, # 6576 6926,6927,4837,6928,6929,6930,6931,6932,6933,6934,6935,6936,3346,6937,6938,4838, # 6592 6939,6940,6941,4448,6942,6943,6944,6945,6946,4449,6947,6948,6949,6950,6951,6952, # 6608 6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968, # 6624 6969,6970,6971,6972,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984, # 6640 6985,6986,6987,6988,6989,6990,6991,6992,6993,6994,3671,6995,6996,6997,6998,4839, # 6656 6999,7000,7001,7002,3549,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013, # 6672 7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028,7029, # 6688 7030,4840,7031,7032,7033,7034,7035,7036,7037,7038,4841,7039,7040,7041,7042,7043, # 6704 7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,7059, # 6720 7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,2985,7071,7072,7073,7074, # 6736 7075,7076,7077,7078,7079,7080,4842,7081,7082,7083,7084,7085,7086,7087,7088,7089, # 6752 7090,7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105, # 6768 7106,7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,4450,7119,7120, # 6784 7121,7122,7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136, # 6800 7137,7138,7139,7140,7141,7142,7143,4843,7144,7145,7146,7147,7148,7149,7150,7151, # 6816 7152,7153,7154,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167, # 6832 7168,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183, # 6848 7184,7185,7186,7187,7188,4171,4172,7189,7190,7191,7192,7193,7194,7195,7196,7197, # 6864 7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210,7211,7212,7213, # 6880 7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229, # 6896 7230,7231,7232,7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245, # 6912 7246,7247,7248,7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261, # 6928 7262,7263,7264,7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277, # 6944 7278,7279,7280,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293, # 6960 7294,7295,7296,4844,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308, # 6976 7309,7310,7311,7312,7313,7314,7315,7316,4451,7317,7318,7319,7320,7321,7322,7323, # 6992 7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339, # 7008 7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,4173,7354, # 7024 7355,4845,7356,7357,7358,7359,7360,7361,7362,7363,7364,7365,7366,7367,7368,7369, # 7040 7370,7371,7372,7373,7374,7375,7376,7377,7378,7379,7380,7381,7382,7383,7384,7385, # 7056 7386,7387,7388,4846,7389,7390,7391,7392,7393,7394,7395,7396,7397,7398,7399,7400, # 7072 7401,7402,7403,7404,7405,3672,7406,7407,7408,7409,7410,7411,7412,7413,7414,7415, # 7088 7416,7417,7418,7419,7420,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431, # 7104 7432,7433,7434,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447, # 7120 7448,7449,7450,7451,7452,7453,4452,7454,3200,7455,7456,7457,7458,7459,7460,7461, # 7136 7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,4847,7475,7476, # 7152 7477,3133,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490,7491, # 7168 7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,3347,7503,7504,7505,7506, # 7184 7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,7520,7521,4848, # 7200 7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,7536,7537, # 7216 7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,3801,4849,7550,7551, # 7232 7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567, # 7248 7568,7569,3035,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582, # 7264 7583,7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598, # 7280 7599,7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614, # 7296 7615,7616,4850,7617,7618,3802,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628, # 7312 7629,7630,7631,7632,4851,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643, # 7328 7644,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659, # 7344 7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,4453,7671,7672,7673,7674, # 7360 7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690, # 7376 7691,7692,7693,7694,7695,7696,7697,3443,7698,7699,7700,7701,7702,4454,7703,7704, # 7392 7705,7706,7707,7708,7709,7710,7711,7712,7713,2472,7714,7715,7716,7717,7718,7719, # 7408 7720,7721,7722,7723,7724,7725,7726,7727,7728,7729,7730,7731,3954,7732,7733,7734, # 7424 7735,7736,7737,7738,7739,7740,7741,7742,7743,7744,7745,7746,7747,7748,7749,7750, # 7440 3134,7751,7752,4852,7753,7754,7755,4853,7756,7757,7758,7759,7760,4174,7761,7762, # 7456 7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,7777,7778, # 7472 7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794, # 7488 7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,4854,7806,7807,7808,7809, # 7504 7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825, # 7520 4855,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7536 7841,7842,7843,7844,7845,7846,7847,3955,7848,7849,7850,7851,7852,7853,7854,7855, # 7552 7856,7857,7858,7859,7860,3444,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870, # 7568 7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886, # 7584 7887,7888,7889,7890,7891,4175,7892,7893,7894,7895,7896,4856,4857,7897,7898,7899, # 7600 7900,2598,7901,7902,7903,7904,7905,7906,7907,7908,4455,7909,7910,7911,7912,7913, # 7616 7914,3201,7915,7916,7917,7918,7919,7920,7921,4858,7922,7923,7924,7925,7926,7927, # 7632 7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938,7939,7940,7941,7942,7943, # 7648 7944,7945,7946,7947,7948,7949,7950,7951,7952,7953,7954,7955,7956,7957,7958,7959, # 7664 7960,7961,7962,7963,7964,7965,7966,7967,7968,7969,7970,7971,7972,7973,7974,7975, # 7680 7976,7977,7978,7979,7980,7981,4859,7982,7983,7984,7985,7986,7987,7988,7989,7990, # 7696 7991,7992,7993,7994,7995,7996,4860,7997,7998,7999,8000,8001,8002,8003,8004,8005, # 7712 8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,8016,4176,8017,8018,8019,8020, # 7728 8021,8022,8023,4861,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035, # 7744 8036,4862,4456,8037,8038,8039,8040,4863,8041,8042,8043,8044,8045,8046,8047,8048, # 7760 8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064, # 7776 8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,8080, # 7792 8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,8096, # 7808 8097,8098,8099,4864,4177,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110, # 7824 8111,8112,8113,8114,8115,8116,8117,8118,8119,8120,4178,8121,8122,8123,8124,8125, # 7840 8126,8127,8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141, # 7856 8142,8143,8144,8145,4865,4866,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155, # 7872 8156,8157,8158,8159,8160,8161,8162,8163,8164,8165,4179,8166,8167,8168,8169,8170, # 7888 8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181,4457,8182,8183,8184,8185, # 7904 8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201, # 7920 8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217, # 7936 8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232,8233, # 7952 8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246,8247,8248,8249, # 7968 8250,8251,8252,8253,8254,8255,8256,3445,8257,8258,8259,8260,8261,8262,4458,8263, # 7984 8264,8265,8266,8267,8268,8269,8270,8271,8272,4459,8273,8274,8275,8276,3550,8277, # 8000 8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,4460,8290,8291,8292, # 8016 8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,4867, # 8032 8308,8309,8310,8311,8312,3551,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322, # 8048 8323,8324,8325,8326,4868,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337, # 8064 8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353, # 8080 8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,4869,4461,8364,8365,8366,8367, # 8096 8368,8369,8370,4870,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382, # 8112 8383,8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398, # 8128 8399,8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,4871,8411,8412,8413, # 8144 8414,8415,8416,8417,8418,8419,8420,8421,8422,4462,8423,8424,8425,8426,8427,8428, # 8160 8429,8430,8431,8432,8433,2986,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443, # 8176 8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459, # 8192 8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475, # 8208 8476,8477,8478,4180,8479,8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490, # 8224 8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506, # 8240 8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522, # 8256 8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538, # 8272 8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554, # 8288 8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,4872,8565,8566,8567,8568,8569, # 8304 8570,8571,8572,8573,4873,8574,8575,8576,8577,8578,8579,8580,8581,8582,8583,8584, # 8320 8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597,8598,8599,8600, # 8336 8601,8602,8603,8604,8605,3803,8606,8607,8608,8609,8610,8611,8612,8613,4874,3804, # 8352 8614,8615,8616,8617,8618,8619,8620,8621,3956,8622,8623,8624,8625,8626,8627,8628, # 8368 8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,2865,8639,8640,8641,8642,8643, # 8384 8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,4463,8657,8658, # 8400 8659,4875,4876,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672, # 8416 8673,8674,8675,8676,8677,8678,8679,8680,8681,4464,8682,8683,8684,8685,8686,8687, # 8432 8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703, # 8448 8704,8705,8706,8707,8708,8709,2261,8710,8711,8712,8713,8714,8715,8716,8717,8718, # 8464 8719,8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,4181, # 8480 8734,8735,8736,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749, # 8496 8750,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,4877,8764, # 8512 8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778,8779,8780, # 8528 8781,8782,8783,8784,8785,8786,8787,8788,4878,8789,4879,8790,8791,8792,4880,8793, # 8544 8794,8795,8796,8797,8798,8799,8800,8801,4881,8802,8803,8804,8805,8806,8807,8808, # 8560 8809,8810,8811,8812,8813,8814,8815,3957,8816,8817,8818,8819,8820,8821,8822,8823, # 8576 8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834,8835,8836,8837,8838,8839, # 8592 8840,8841,8842,8843,8844,8845,8846,8847,4882,8848,8849,8850,8851,8852,8853,8854, # 8608 8855,8856,8857,8858,8859,8860,8861,8862,8863,8864,8865,8866,8867,8868,8869,8870, # 8624 8871,8872,8873,8874,8875,8876,8877,8878,8879,8880,8881,8882,8883,8884,3202,8885, # 8640 8886,8887,8888,8889,8890,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901, # 8656 8902,8903,8904,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917, # 8672 8918,8919,8920,8921,8922,8923,8924,4465,8925,8926,8927,8928,8929,8930,8931,8932, # 8688 4883,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,2214,8944,8945,8946, # 8704 8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960,8961,8962, # 8720 8963,8964,8965,4884,8966,8967,8968,8969,8970,8971,8972,8973,8974,8975,8976,8977, # 8736 8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988,8989,8990,8991,8992,4885, # 8752 8993,8994,8995,8996,8997,8998,8999,9000,9001,9002,9003,9004,9005,9006,9007,9008, # 8768 9009,9010,9011,9012,9013,9014,9015,9016,9017,9018,9019,9020,9021,4182,9022,9023, # 8784 9024,9025,9026,9027,9028,9029,9030,9031,9032,9033,9034,9035,9036,9037,9038,9039, # 8800 9040,9041,9042,9043,9044,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055, # 8816 9056,9057,9058,9059,9060,9061,9062,9063,4886,9064,9065,9066,9067,9068,9069,4887, # 8832 9070,9071,9072,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085, # 8848 9086,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100,9101, # 8864 9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114,9115,9116,9117, # 8880 9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128,9129,9130,9131,9132,9133, # 8896 9134,9135,9136,9137,9138,9139,9140,9141,3958,9142,9143,9144,9145,9146,9147,9148, # 8912 9149,9150,9151,4888,9152,9153,9154,9155,9156,9157,9158,9159,9160,9161,9162,9163, # 8928 9164,9165,9166,9167,9168,9169,9170,9171,9172,9173,9174,9175,4889,9176,9177,9178, # 8944 9179,9180,9181,9182,9183,9184,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194, # 8960 9195,9196,9197,9198,9199,9200,9201,9202,9203,4890,9204,9205,9206,9207,9208,9209, # 8976 9210,9211,9212,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,4466,9223,9224, # 8992 9225,9226,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240, # 9008 9241,9242,9243,9244,9245,4891,9246,9247,9248,9249,9250,9251,9252,9253,9254,9255, # 9024 9256,9257,4892,9258,9259,9260,9261,4893,4894,9262,9263,9264,9265,9266,9267,9268, # 9040 9269,9270,9271,9272,9273,4467,9274,9275,9276,9277,9278,9279,9280,9281,9282,9283, # 9056 9284,9285,3673,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296,9297,9298, # 9072 9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310,9311,9312,9313,9314, # 9088 9315,9316,9317,9318,9319,9320,9321,9322,4895,9323,9324,9325,9326,9327,9328,9329, # 9104 9330,9331,9332,9333,9334,9335,9336,9337,9338,9339,9340,9341,9342,9343,9344,9345, # 9120 9346,9347,4468,9348,9349,9350,9351,9352,9353,9354,9355,9356,9357,9358,9359,9360, # 9136 9361,9362,9363,9364,9365,9366,9367,9368,9369,9370,9371,9372,9373,4896,9374,4469, # 9152 9375,9376,9377,9378,9379,4897,9380,9381,9382,9383,9384,9385,9386,9387,9388,9389, # 9168 9390,9391,9392,9393,9394,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405, # 9184 9406,4470,9407,2751,9408,9409,3674,3552,9410,9411,9412,9413,9414,9415,9416,9417, # 9200 9418,9419,9420,9421,4898,9422,9423,9424,9425,9426,9427,9428,9429,3959,9430,9431, # 9216 9432,9433,9434,9435,9436,4471,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446, # 9232 9447,9448,9449,9450,3348,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461, # 9248 9462,9463,9464,9465,9466,9467,9468,9469,9470,9471,9472,4899,9473,9474,9475,9476, # 9264 9477,4900,9478,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,3349,9489,9490, # 9280 9491,9492,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506, # 9296 9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520,4901,9521, # 9312 9522,9523,9524,9525,9526,4902,9527,9528,9529,9530,9531,9532,9533,9534,9535,9536, # 9328 9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548,9549,9550,9551,9552, # 9344 9553,9554,9555,9556,9557,9558,9559,9560,9561,9562,9563,9564,9565,9566,9567,9568, # 9360 9569,9570,9571,9572,9573,9574,9575,9576,9577,9578,9579,9580,9581,9582,9583,9584, # 9376 3805,9585,9586,9587,9588,9589,9590,9591,9592,9593,9594,9595,9596,9597,9598,9599, # 9392 9600,9601,9602,4903,9603,9604,9605,9606,9607,4904,9608,9609,9610,9611,9612,9613, # 9408 9614,4905,9615,9616,9617,9618,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628, # 9424 9629,9630,9631,9632,4906,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643, # 9440 4907,9644,9645,9646,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658, # 9456 9659,9660,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,4183,9673, # 9472 9674,9675,9676,9677,4908,9678,9679,9680,9681,4909,9682,9683,9684,9685,9686,9687, # 9488 9688,9689,9690,4910,9691,9692,9693,3675,9694,9695,9696,2945,9697,9698,9699,9700, # 9504 9701,9702,9703,9704,9705,4911,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715, # 9520 9716,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730,9731, # 9536 9732,9733,9734,9735,4912,9736,9737,9738,9739,9740,4913,9741,9742,9743,9744,9745, # 9552 9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758,4914,9759,9760, # 9568 9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772,9773,9774,9775,9776, # 9584 9777,9778,9779,9780,9781,9782,4915,9783,9784,9785,9786,9787,9788,9789,9790,9791, # 9600 9792,9793,4916,9794,9795,9796,9797,9798,9799,9800,9801,9802,9803,9804,9805,9806, # 9616 9807,9808,9809,9810,9811,9812,9813,9814,9815,9816,9817,9818,9819,9820,9821,9822, # 9632 9823,9824,9825,9826,9827,9828,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838, # 9648 9839,9840,9841,9842,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854, # 9664 9855,9856,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,4917,9869, # 9680 9870,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884,9885, # 9696 9886,9887,9888,9889,9890,9891,9892,4472,9893,9894,9895,9896,9897,3806,9898,9899, # 9712 9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912,9913,9914,4918, # 9728 9915,9916,9917,4919,9918,9919,9920,9921,4184,9922,9923,9924,9925,9926,9927,9928, # 9744 9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940,9941,9942,9943,9944, # 9760 9945,9946,4920,9947,9948,9949,9950,9951,9952,9953,9954,9955,4185,9956,9957,9958, # 9776 9959,9960,9961,9962,9963,9964,9965,4921,9966,9967,9968,4473,9969,9970,9971,9972, # 9792 9973,9974,9975,9976,9977,4474,9978,9979,9980,9981,9982,9983,9984,9985,9986,9987, # 9808 9988,9989,9990,9991,9992,9993,9994,9995,9996,9997,9998,9999,10000,10001,10002,10003, # 9824 10004,10005,10006,10007,10008,10009,10010,10011,10012,10013,10014,10015,10016,10017,10018,10019, # 9840 10020,10021,4922,10022,4923,10023,10024,10025,10026,10027,10028,10029,10030,10031,10032,10033, # 9856 10034,10035,10036,10037,10038,10039,10040,10041,10042,10043,10044,10045,10046,10047,10048,4924, # 9872 10049,10050,10051,10052,10053,10054,10055,10056,10057,10058,10059,10060,10061,10062,10063,10064, # 9888 10065,10066,10067,10068,10069,10070,10071,10072,10073,10074,10075,10076,10077,10078,10079,10080, # 9904 10081,10082,10083,10084,10085,10086,10087,4475,10088,10089,10090,10091,10092,10093,10094,10095, # 9920 10096,10097,4476,10098,10099,10100,10101,10102,10103,10104,10105,10106,10107,10108,10109,10110, # 9936 10111,2174,10112,10113,10114,10115,10116,10117,10118,10119,10120,10121,10122,10123,10124,10125, # 9952 10126,10127,10128,10129,10130,10131,10132,10133,10134,10135,10136,10137,10138,10139,10140,3807, # 9968 4186,4925,10141,10142,10143,10144,10145,10146,10147,4477,4187,10148,10149,10150,10151,10152, # 9984 10153,4188,10154,10155,10156,10157,10158,10159,10160,10161,4926,10162,10163,10164,10165,10166, #10000 10167,10168,10169,10170,10171,10172,10173,10174,10175,10176,10177,10178,10179,10180,10181,10182, #10016 10183,10184,10185,10186,10187,10188,10189,10190,10191,10192,3203,10193,10194,10195,10196,10197, #10032 10198,10199,10200,4478,10201,10202,10203,10204,4479,10205,10206,10207,10208,10209,10210,10211, #10048 10212,10213,10214,10215,10216,10217,10218,10219,10220,10221,10222,10223,10224,10225,10226,10227, #10064 10228,10229,10230,10231,10232,10233,10234,4927,10235,10236,10237,10238,10239,10240,10241,10242, #10080 10243,10244,10245,10246,10247,10248,10249,10250,10251,10252,10253,10254,10255,10256,10257,10258, #10096 10259,10260,10261,10262,10263,10264,10265,10266,10267,10268,10269,10270,10271,10272,10273,4480, #10112 4928,4929,10274,10275,10276,10277,10278,10279,10280,10281,10282,10283,10284,10285,10286,10287, #10128 10288,10289,10290,10291,10292,10293,10294,10295,10296,10297,10298,10299,10300,10301,10302,10303, #10144 10304,10305,10306,10307,10308,10309,10310,10311,10312,10313,10314,10315,10316,10317,10318,10319, #10160 10320,10321,10322,10323,10324,10325,10326,10327,10328,10329,10330,10331,10332,10333,10334,4930, #10176 10335,10336,10337,10338,10339,10340,10341,10342,4931,10343,10344,10345,10346,10347,10348,10349, #10192 10350,10351,10352,10353,10354,10355,3088,10356,2786,10357,10358,10359,10360,4189,10361,10362, #10208 10363,10364,10365,10366,10367,10368,10369,10370,10371,10372,10373,10374,10375,4932,10376,10377, #10224 10378,10379,10380,10381,10382,10383,10384,10385,10386,10387,10388,10389,10390,10391,10392,4933, #10240 10393,10394,10395,4934,10396,10397,10398,10399,10400,10401,10402,10403,10404,10405,10406,10407, #10256 10408,10409,10410,10411,10412,3446,10413,10414,10415,10416,10417,10418,10419,10420,10421,10422, #10272 10423,4935,10424,10425,10426,10427,10428,10429,10430,4936,10431,10432,10433,10434,10435,10436, #10288 10437,10438,10439,10440,10441,10442,10443,4937,10444,10445,10446,10447,4481,10448,10449,10450, #10304 10451,10452,10453,10454,10455,10456,10457,10458,10459,10460,10461,10462,10463,10464,10465,10466, #10320 10467,10468,10469,10470,10471,10472,10473,10474,10475,10476,10477,10478,10479,10480,10481,10482, #10336 10483,10484,10485,10486,10487,10488,10489,10490,10491,10492,10493,10494,10495,10496,10497,10498, #10352 10499,10500,10501,10502,10503,10504,10505,4938,10506,10507,10508,10509,10510,2552,10511,10512, #10368 10513,10514,10515,10516,3447,10517,10518,10519,10520,10521,10522,10523,10524,10525,10526,10527, #10384 10528,10529,10530,10531,10532,10533,10534,10535,10536,10537,10538,10539,10540,10541,10542,10543, #10400 4482,10544,4939,10545,10546,10547,10548,10549,10550,10551,10552,10553,10554,10555,10556,10557, #10416 10558,10559,10560,10561,10562,10563,10564,10565,10566,10567,3676,4483,10568,10569,10570,10571, #10432 10572,3448,10573,10574,10575,10576,10577,10578,10579,10580,10581,10582,10583,10584,10585,10586, #10448 10587,10588,10589,10590,10591,10592,10593,10594,10595,10596,10597,10598,10599,10600,10601,10602, #10464 10603,10604,10605,10606,10607,10608,10609,10610,10611,10612,10613,10614,10615,10616,10617,10618, #10480 10619,10620,10621,10622,10623,10624,10625,10626,10627,4484,10628,10629,10630,10631,10632,4940, #10496 10633,10634,10635,10636,10637,10638,10639,10640,10641,10642,10643,10644,10645,10646,10647,10648, #10512 10649,10650,10651,10652,10653,10654,10655,10656,4941,10657,10658,10659,2599,10660,10661,10662, #10528 10663,10664,10665,10666,3089,10667,10668,10669,10670,10671,10672,10673,10674,10675,10676,10677, #10544 10678,10679,10680,4942,10681,10682,10683,10684,10685,10686,10687,10688,10689,10690,10691,10692, #10560 10693,10694,10695,10696,10697,4485,10698,10699,10700,10701,10702,10703,10704,4943,10705,3677, #10576 10706,10707,10708,10709,10710,10711,10712,4944,10713,10714,10715,10716,10717,10718,10719,10720, #10592 10721,10722,10723,10724,10725,10726,10727,10728,4945,10729,10730,10731,10732,10733,10734,10735, #10608 10736,10737,10738,10739,10740,10741,10742,10743,10744,10745,10746,10747,10748,10749,10750,10751, #10624 10752,10753,10754,10755,10756,10757,10758,10759,10760,10761,4946,10762,10763,10764,10765,10766, #10640 10767,4947,4948,10768,10769,10770,10771,10772,10773,10774,10775,10776,10777,10778,10779,10780, #10656 10781,10782,10783,10784,10785,10786,10787,10788,10789,10790,10791,10792,10793,10794,10795,10796, #10672 10797,10798,10799,10800,10801,10802,10803,10804,10805,10806,10807,10808,10809,10810,10811,10812, #10688 10813,10814,10815,10816,10817,10818,10819,10820,10821,10822,10823,10824,10825,10826,10827,10828, #10704 10829,10830,10831,10832,10833,10834,10835,10836,10837,10838,10839,10840,10841,10842,10843,10844, #10720 10845,10846,10847,10848,10849,10850,10851,10852,10853,10854,10855,10856,10857,10858,10859,10860, #10736 10861,10862,10863,10864,10865,10866,10867,10868,10869,10870,10871,10872,10873,10874,10875,10876, #10752 10877,10878,4486,10879,10880,10881,10882,10883,10884,10885,4949,10886,10887,10888,10889,10890, #10768 10891,10892,10893,10894,10895,10896,10897,10898,10899,10900,10901,10902,10903,10904,10905,10906, #10784 10907,10908,10909,10910,10911,10912,10913,10914,10915,10916,10917,10918,10919,4487,10920,10921, #10800 10922,10923,10924,10925,10926,10927,10928,10929,10930,10931,10932,4950,10933,10934,10935,10936, #10816 10937,10938,10939,10940,10941,10942,10943,10944,10945,10946,10947,10948,10949,4488,10950,10951, #10832 10952,10953,10954,10955,10956,10957,10958,10959,4190,10960,10961,10962,10963,10964,10965,10966, #10848 10967,10968,10969,10970,10971,10972,10973,10974,10975,10976,10977,10978,10979,10980,10981,10982, #10864 10983,10984,10985,10986,10987,10988,10989,10990,10991,10992,10993,10994,10995,10996,10997,10998, #10880 10999,11000,11001,11002,11003,11004,11005,11006,3960,11007,11008,11009,11010,11011,11012,11013, #10896 11014,11015,11016,11017,11018,11019,11020,11021,11022,11023,11024,11025,11026,11027,11028,11029, #10912 11030,11031,11032,4951,11033,11034,11035,11036,11037,11038,11039,11040,11041,11042,11043,11044, #10928 11045,11046,11047,4489,11048,11049,11050,11051,4952,11052,11053,11054,11055,11056,11057,11058, #10944 4953,11059,11060,11061,11062,11063,11064,11065,11066,11067,11068,11069,11070,11071,4954,11072, #10960 11073,11074,11075,11076,11077,11078,11079,11080,11081,11082,11083,11084,11085,11086,11087,11088, #10976 11089,11090,11091,11092,11093,11094,11095,11096,11097,11098,11099,11100,11101,11102,11103,11104, #10992 11105,11106,11107,11108,11109,11110,11111,11112,11113,11114,11115,3808,11116,11117,11118,11119, #11008 11120,11121,11122,11123,11124,11125,11126,11127,11128,11129,11130,11131,11132,11133,11134,4955, #11024 11135,11136,11137,11138,11139,11140,11141,11142,11143,11144,11145,11146,11147,11148,11149,11150, #11040 11151,11152,11153,11154,11155,11156,11157,11158,11159,11160,11161,4956,11162,11163,11164,11165, #11056 11166,11167,11168,11169,11170,11171,11172,11173,11174,11175,11176,11177,11178,11179,11180,4957, #11072 11181,11182,11183,11184,11185,11186,4958,11187,11188,11189,11190,11191,11192,11193,11194,11195, #11088 11196,11197,11198,11199,11200,3678,11201,11202,11203,11204,11205,11206,4191,11207,11208,11209, #11104 11210,11211,11212,11213,11214,11215,11216,11217,11218,11219,11220,11221,11222,11223,11224,11225, #11120 11226,11227,11228,11229,11230,11231,11232,11233,11234,11235,11236,11237,11238,11239,11240,11241, #11136 11242,11243,11244,11245,11246,11247,11248,11249,11250,11251,4959,11252,11253,11254,11255,11256, #11152 11257,11258,11259,11260,11261,11262,11263,11264,11265,11266,11267,11268,11269,11270,11271,11272, #11168 11273,11274,11275,11276,11277,11278,11279,11280,11281,11282,11283,11284,11285,11286,11287,11288, #11184 11289,11290,11291,11292,11293,11294,11295,11296,11297,11298,11299,11300,11301,11302,11303,11304, #11200 11305,11306,11307,11308,11309,11310,11311,11312,11313,11314,3679,11315,11316,11317,11318,4490, #11216 11319,11320,11321,11322,11323,11324,11325,11326,11327,11328,11329,11330,11331,11332,11333,11334, #11232 11335,11336,11337,11338,11339,11340,11341,11342,11343,11344,11345,11346,11347,4960,11348,11349, #11248 11350,11351,11352,11353,11354,11355,11356,11357,11358,11359,11360,11361,11362,11363,11364,11365, #11264 11366,11367,11368,11369,11370,11371,11372,11373,11374,11375,11376,11377,3961,4961,11378,11379, #11280 11380,11381,11382,11383,11384,11385,11386,11387,11388,11389,11390,11391,11392,11393,11394,11395, #11296 11396,11397,4192,11398,11399,11400,11401,11402,11403,11404,11405,11406,11407,11408,11409,11410, #11312 11411,4962,11412,11413,11414,11415,11416,11417,11418,11419,11420,11421,11422,11423,11424,11425, #11328 11426,11427,11428,11429,11430,11431,11432,11433,11434,11435,11436,11437,11438,11439,11440,11441, #11344 11442,11443,11444,11445,11446,11447,11448,11449,11450,11451,11452,11453,11454,11455,11456,11457, #11360 11458,11459,11460,11461,11462,11463,11464,11465,11466,11467,11468,11469,4963,11470,11471,4491, #11376 11472,11473,11474,11475,4964,11476,11477,11478,11479,11480,11481,11482,11483,11484,11485,11486, #11392 11487,11488,11489,11490,11491,11492,4965,11493,11494,11495,11496,11497,11498,11499,11500,11501, #11408 11502,11503,11504,11505,11506,11507,11508,11509,11510,11511,11512,11513,11514,11515,11516,11517, #11424 11518,11519,11520,11521,11522,11523,11524,11525,11526,11527,11528,11529,3962,11530,11531,11532, #11440 11533,11534,11535,11536,11537,11538,11539,11540,11541,11542,11543,11544,11545,11546,11547,11548, #11456 11549,11550,11551,11552,11553,11554,11555,11556,11557,11558,11559,11560,11561,11562,11563,11564, #11472 4193,4194,11565,11566,11567,11568,11569,11570,11571,11572,11573,11574,11575,11576,11577,11578, #11488 11579,11580,11581,11582,11583,11584,11585,11586,11587,11588,11589,11590,11591,4966,4195,11592, #11504 11593,11594,11595,11596,11597,11598,11599,11600,11601,11602,11603,11604,3090,11605,11606,11607, #11520 11608,11609,11610,4967,11611,11612,11613,11614,11615,11616,11617,11618,11619,11620,11621,11622, #11536 11623,11624,11625,11626,11627,11628,11629,11630,11631,11632,11633,11634,11635,11636,11637,11638, #11552 11639,11640,11641,11642,11643,11644,11645,11646,11647,11648,11649,11650,11651,11652,11653,11654, #11568 11655,11656,11657,11658,11659,11660,11661,11662,11663,11664,11665,11666,11667,11668,11669,11670, #11584 11671,11672,11673,11674,4968,11675,11676,11677,11678,11679,11680,11681,11682,11683,11684,11685, #11600 11686,11687,11688,11689,11690,11691,11692,11693,3809,11694,11695,11696,11697,11698,11699,11700, #11616 11701,11702,11703,11704,11705,11706,11707,11708,11709,11710,11711,11712,11713,11714,11715,11716, #11632 11717,11718,3553,11719,11720,11721,11722,11723,11724,11725,11726,11727,11728,11729,11730,4969, #11648 11731,11732,11733,11734,11735,11736,11737,11738,11739,11740,4492,11741,11742,11743,11744,11745, #11664 11746,11747,11748,11749,11750,11751,11752,4970,11753,11754,11755,11756,11757,11758,11759,11760, #11680 11761,11762,11763,11764,11765,11766,11767,11768,11769,11770,11771,11772,11773,11774,11775,11776, #11696 11777,11778,11779,11780,11781,11782,11783,11784,11785,11786,11787,11788,11789,11790,4971,11791, #11712 11792,11793,11794,11795,11796,11797,4972,11798,11799,11800,11801,11802,11803,11804,11805,11806, #11728 11807,11808,11809,11810,4973,11811,11812,11813,11814,11815,11816,11817,11818,11819,11820,11821, #11744 11822,11823,11824,11825,11826,11827,11828,11829,11830,11831,11832,11833,11834,3680,3810,11835, #11760 11836,4974,11837,11838,11839,11840,11841,11842,11843,11844,11845,11846,11847,11848,11849,11850, #11776 11851,11852,11853,11854,11855,11856,11857,11858,11859,11860,11861,11862,11863,11864,11865,11866, #11792 11867,11868,11869,11870,11871,11872,11873,11874,11875,11876,11877,11878,11879,11880,11881,11882, #11808 11883,11884,4493,11885,11886,11887,11888,11889,11890,11891,11892,11893,11894,11895,11896,11897, #11824 11898,11899,11900,11901,11902,11903,11904,11905,11906,11907,11908,11909,11910,11911,11912,11913, #11840 11914,11915,4975,11916,11917,11918,11919,11920,11921,11922,11923,11924,11925,11926,11927,11928, #11856 11929,11930,11931,11932,11933,11934,11935,11936,11937,11938,11939,11940,11941,11942,11943,11944, #11872 11945,11946,11947,11948,11949,4976,11950,11951,11952,11953,11954,11955,11956,11957,11958,11959, #11888 11960,11961,11962,11963,11964,11965,11966,11967,11968,11969,11970,11971,11972,11973,11974,11975, #11904 11976,11977,11978,11979,11980,11981,11982,11983,11984,11985,11986,11987,4196,11988,11989,11990, #11920 11991,11992,4977,11993,11994,11995,11996,11997,11998,11999,12000,12001,12002,12003,12004,12005, #11936 12006,12007,12008,12009,12010,12011,12012,12013,12014,12015,12016,12017,12018,12019,12020,12021, #11952 12022,12023,12024,12025,12026,12027,12028,12029,12030,12031,12032,12033,12034,12035,12036,12037, #11968 12038,12039,12040,12041,12042,12043,12044,12045,12046,12047,12048,12049,12050,12051,12052,12053, #11984 12054,12055,12056,12057,12058,12059,12060,12061,4978,12062,12063,12064,12065,12066,12067,12068, #12000 12069,12070,12071,12072,12073,12074,12075,12076,12077,12078,12079,12080,12081,12082,12083,12084, #12016 12085,12086,12087,12088,12089,12090,12091,12092,12093,12094,12095,12096,12097,12098,12099,12100, #12032 12101,12102,12103,12104,12105,12106,12107,12108,12109,12110,12111,12112,12113,12114,12115,12116, #12048 12117,12118,12119,12120,12121,12122,12123,4979,12124,12125,12126,12127,12128,4197,12129,12130, #12064 12131,12132,12133,12134,12135,12136,12137,12138,12139,12140,12141,12142,12143,12144,12145,12146, #12080 12147,12148,12149,12150,12151,12152,12153,12154,4980,12155,12156,12157,12158,12159,12160,4494, #12096 12161,12162,12163,12164,3811,12165,12166,12167,12168,12169,4495,12170,12171,4496,12172,12173, #12112 12174,12175,12176,3812,12177,12178,12179,12180,12181,12182,12183,12184,12185,12186,12187,12188, #12128 12189,12190,12191,12192,12193,12194,12195,12196,12197,12198,12199,12200,12201,12202,12203,12204, #12144 12205,12206,12207,12208,12209,12210,12211,12212,12213,12214,12215,12216,12217,12218,12219,12220, #12160 12221,4981,12222,12223,12224,12225,12226,12227,12228,12229,12230,12231,12232,12233,12234,12235, #12176 4982,12236,12237,12238,12239,12240,12241,12242,12243,12244,12245,4983,12246,12247,12248,12249, #12192 4984,12250,12251,12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262,12263,12264, #12208 4985,12265,4497,12266,12267,12268,12269,12270,12271,12272,12273,12274,12275,12276,12277,12278, #12224 12279,12280,12281,12282,12283,12284,12285,12286,12287,4986,12288,12289,12290,12291,12292,12293, #12240 12294,12295,12296,2473,12297,12298,12299,12300,12301,12302,12303,12304,12305,12306,12307,12308, #12256 12309,12310,12311,12312,12313,12314,12315,12316,12317,12318,12319,3963,12320,12321,12322,12323, #12272 12324,12325,12326,12327,12328,12329,12330,12331,12332,4987,12333,12334,12335,12336,12337,12338, #12288 12339,12340,12341,12342,12343,12344,12345,12346,12347,12348,12349,12350,12351,12352,12353,12354, #12304 12355,12356,12357,12358,12359,3964,12360,12361,12362,12363,12364,12365,12366,12367,12368,12369, #12320 12370,3965,12371,12372,12373,12374,12375,12376,12377,12378,12379,12380,12381,12382,12383,12384, #12336 12385,12386,12387,12388,12389,12390,12391,12392,12393,12394,12395,12396,12397,12398,12399,12400, #12352 12401,12402,12403,12404,12405,12406,12407,12408,4988,12409,12410,12411,12412,12413,12414,12415, #12368 12416,12417,12418,12419,12420,12421,12422,12423,12424,12425,12426,12427,12428,12429,12430,12431, #12384 12432,12433,12434,12435,12436,12437,12438,3554,12439,12440,12441,12442,12443,12444,12445,12446, #12400 12447,12448,12449,12450,12451,12452,12453,12454,12455,12456,12457,12458,12459,12460,12461,12462, #12416 12463,12464,4989,12465,12466,12467,12468,12469,12470,12471,12472,12473,12474,12475,12476,12477, #12432 12478,12479,12480,4990,12481,12482,12483,12484,12485,12486,12487,12488,12489,4498,12490,12491, #12448 12492,12493,12494,12495,12496,12497,12498,12499,12500,12501,12502,12503,12504,12505,12506,12507, #12464 12508,12509,12510,12511,12512,12513,12514,12515,12516,12517,12518,12519,12520,12521,12522,12523, #12480 12524,12525,12526,12527,12528,12529,12530,12531,12532,12533,12534,12535,12536,12537,12538,12539, #12496 12540,12541,12542,12543,12544,12545,12546,12547,12548,12549,12550,12551,4991,12552,12553,12554, #12512 12555,12556,12557,12558,12559,12560,12561,12562,12563,12564,12565,12566,12567,12568,12569,12570, #12528 12571,12572,12573,12574,12575,12576,12577,12578,3036,12579,12580,12581,12582,12583,3966,12584, #12544 12585,12586,12587,12588,12589,12590,12591,12592,12593,12594,12595,12596,12597,12598,12599,12600, #12560 12601,12602,12603,12604,12605,12606,12607,12608,12609,12610,12611,12612,12613,12614,12615,12616, #12576 12617,12618,12619,12620,12621,12622,12623,12624,12625,12626,12627,12628,12629,12630,12631,12632, #12592 12633,12634,12635,12636,12637,12638,12639,12640,12641,12642,12643,12644,12645,12646,4499,12647, #12608 12648,12649,12650,12651,12652,12653,12654,12655,12656,12657,12658,12659,12660,12661,12662,12663, #12624 12664,12665,12666,12667,12668,12669,12670,12671,12672,12673,12674,12675,12676,12677,12678,12679, #12640 12680,12681,12682,12683,12684,12685,12686,12687,12688,12689,12690,12691,12692,12693,12694,12695, #12656 12696,12697,12698,4992,12699,12700,12701,12702,12703,12704,12705,12706,12707,12708,12709,12710, #12672 12711,12712,12713,12714,12715,12716,12717,12718,12719,12720,12721,12722,12723,12724,12725,12726, #12688 12727,12728,12729,12730,12731,12732,12733,12734,12735,12736,12737,12738,12739,12740,12741,12742, #12704 12743,12744,12745,12746,12747,12748,12749,12750,12751,12752,12753,12754,12755,12756,12757,12758, #12720 12759,12760,12761,12762,12763,12764,12765,12766,12767,12768,12769,12770,12771,12772,12773,12774, #12736 12775,12776,12777,12778,4993,2175,12779,12780,12781,12782,12783,12784,12785,12786,4500,12787, #12752 12788,12789,12790,12791,12792,12793,12794,12795,12796,12797,12798,12799,12800,12801,12802,12803, #12768 12804,12805,12806,12807,12808,12809,12810,12811,12812,12813,12814,12815,12816,12817,12818,12819, #12784 12820,12821,12822,12823,12824,12825,12826,4198,3967,12827,12828,12829,12830,12831,12832,12833, #12800 12834,12835,12836,12837,12838,12839,12840,12841,12842,12843,12844,12845,12846,12847,12848,12849, #12816 12850,12851,12852,12853,12854,12855,12856,12857,12858,12859,12860,12861,4199,12862,12863,12864, #12832 12865,12866,12867,12868,12869,12870,12871,12872,12873,12874,12875,12876,12877,12878,12879,12880, #12848 12881,12882,12883,12884,12885,12886,12887,4501,12888,12889,12890,12891,12892,12893,12894,12895, #12864 12896,12897,12898,12899,12900,12901,12902,12903,12904,12905,12906,12907,12908,12909,12910,12911, #12880 12912,4994,12913,12914,12915,12916,12917,12918,12919,12920,12921,12922,12923,12924,12925,12926, #12896 12927,12928,12929,12930,12931,12932,12933,12934,12935,12936,12937,12938,12939,12940,12941,12942, #12912 12943,12944,12945,12946,12947,12948,12949,12950,12951,12952,12953,12954,12955,12956,1772,12957, #12928 12958,12959,12960,12961,12962,12963,12964,12965,12966,12967,12968,12969,12970,12971,12972,12973, #12944 12974,12975,12976,12977,12978,12979,12980,12981,12982,12983,12984,12985,12986,12987,12988,12989, #12960 12990,12991,12992,12993,12994,12995,12996,12997,4502,12998,4503,12999,13000,13001,13002,13003, #12976 4504,13004,13005,13006,13007,13008,13009,13010,13011,13012,13013,13014,13015,13016,13017,13018, #12992 13019,13020,13021,13022,13023,13024,13025,13026,13027,13028,13029,3449,13030,13031,13032,13033, #13008 13034,13035,13036,13037,13038,13039,13040,13041,13042,13043,13044,13045,13046,13047,13048,13049, #13024 13050,13051,13052,13053,13054,13055,13056,13057,13058,13059,13060,13061,13062,13063,13064,13065, #13040 13066,13067,13068,13069,13070,13071,13072,13073,13074,13075,13076,13077,13078,13079,13080,13081, #13056 13082,13083,13084,13085,13086,13087,13088,13089,13090,13091,13092,13093,13094,13095,13096,13097, #13072 13098,13099,13100,13101,13102,13103,13104,13105,13106,13107,13108,13109,13110,13111,13112,13113, #13088 13114,13115,13116,13117,13118,3968,13119,4995,13120,13121,13122,13123,13124,13125,13126,13127, #13104 4505,13128,13129,13130,13131,13132,13133,13134,4996,4506,13135,13136,13137,13138,13139,4997, #13120 13140,13141,13142,13143,13144,13145,13146,13147,13148,13149,13150,13151,13152,13153,13154,13155, #13136 13156,13157,13158,13159,4998,13160,13161,13162,13163,13164,13165,13166,13167,13168,13169,13170, #13152 13171,13172,13173,13174,13175,13176,4999,13177,13178,13179,13180,13181,13182,13183,13184,13185, #13168 13186,13187,13188,13189,13190,13191,13192,13193,13194,13195,13196,13197,13198,13199,13200,13201, #13184 13202,13203,13204,13205,13206,5000,13207,13208,13209,13210,13211,13212,13213,13214,13215,13216, #13200 13217,13218,13219,13220,13221,13222,13223,13224,13225,13226,13227,4200,5001,13228,13229,13230, #13216 13231,13232,13233,13234,13235,13236,13237,13238,13239,13240,3969,13241,13242,13243,13244,3970, #13232 13245,13246,13247,13248,13249,13250,13251,13252,13253,13254,13255,13256,13257,13258,13259,13260, #13248 13261,13262,13263,13264,13265,13266,13267,13268,3450,13269,13270,13271,13272,13273,13274,13275, #13264 13276,5002,13277,13278,13279,13280,13281,13282,13283,13284,13285,13286,13287,13288,13289,13290, #13280 13291,13292,13293,13294,13295,13296,13297,13298,13299,13300,13301,13302,3813,13303,13304,13305, #13296 13306,13307,13308,13309,13310,13311,13312,13313,13314,13315,13316,13317,13318,13319,13320,13321, #13312 13322,13323,13324,13325,13326,13327,13328,4507,13329,13330,13331,13332,13333,13334,13335,13336, #13328 13337,13338,13339,13340,13341,5003,13342,13343,13344,13345,13346,13347,13348,13349,13350,13351, #13344 13352,13353,13354,13355,13356,13357,13358,13359,13360,13361,13362,13363,13364,13365,13366,13367, #13360 5004,13368,13369,13370,13371,13372,13373,13374,13375,13376,13377,13378,13379,13380,13381,13382, #13376 13383,13384,13385,13386,13387,13388,13389,13390,13391,13392,13393,13394,13395,13396,13397,13398, #13392 13399,13400,13401,13402,13403,13404,13405,13406,13407,13408,13409,13410,13411,13412,13413,13414, #13408 13415,13416,13417,13418,13419,13420,13421,13422,13423,13424,13425,13426,13427,13428,13429,13430, #13424 13431,13432,4508,13433,13434,13435,4201,13436,13437,13438,13439,13440,13441,13442,13443,13444, #13440 13445,13446,13447,13448,13449,13450,13451,13452,13453,13454,13455,13456,13457,5005,13458,13459, #13456 13460,13461,13462,13463,13464,13465,13466,13467,13468,13469,13470,4509,13471,13472,13473,13474, #13472 13475,13476,13477,13478,13479,13480,13481,13482,13483,13484,13485,13486,13487,13488,13489,13490, #13488 13491,13492,13493,13494,13495,13496,13497,13498,13499,13500,13501,13502,13503,13504,13505,13506, #13504 13507,13508,13509,13510,13511,13512,13513,13514,13515,13516,13517,13518,13519,13520,13521,13522, #13520 13523,13524,13525,13526,13527,13528,13529,13530,13531,13532,13533,13534,13535,13536,13537,13538, #13536 13539,13540,13541,13542,13543,13544,13545,13546,13547,13548,13549,13550,13551,13552,13553,13554, #13552 13555,13556,13557,13558,13559,13560,13561,13562,13563,13564,13565,13566,13567,13568,13569,13570, #13568 13571,13572,13573,13574,13575,13576,13577,13578,13579,13580,13581,13582,13583,13584,13585,13586, #13584 13587,13588,13589,13590,13591,13592,13593,13594,13595,13596,13597,13598,13599,13600,13601,13602, #13600 13603,13604,13605,13606,13607,13608,13609,13610,13611,13612,13613,13614,13615,13616,13617,13618, #13616 13619,13620,13621,13622,13623,13624,13625,13626,13627,13628,13629,13630,13631,13632,13633,13634, #13632 13635,13636,13637,13638,13639,13640,13641,13642,5006,13643,13644,13645,13646,13647,13648,13649, #13648 13650,13651,5007,13652,13653,13654,13655,13656,13657,13658,13659,13660,13661,13662,13663,13664, #13664 13665,13666,13667,13668,13669,13670,13671,13672,13673,13674,13675,13676,13677,13678,13679,13680, #13680 13681,13682,13683,13684,13685,13686,13687,13688,13689,13690,13691,13692,13693,13694,13695,13696, #13696 13697,13698,13699,13700,13701,13702,13703,13704,13705,13706,13707,13708,13709,13710,13711,13712, #13712 13713,13714,13715,13716,13717,13718,13719,13720,13721,13722,13723,13724,13725,13726,13727,13728, #13728 13729,13730,13731,13732,13733,13734,13735,13736,13737,13738,13739,13740,13741,13742,13743,13744, #13744 13745,13746,13747,13748,13749,13750,13751,13752,13753,13754,13755,13756,13757,13758,13759,13760, #13760 13761,13762,13763,13764,13765,13766,13767,13768,13769,13770,13771,13772,13773,13774,3273,13775, #13776 13776,13777,13778,13779,13780,13781,13782,13783,13784,13785,13786,13787,13788,13789,13790,13791, #13792 13792,13793,13794,13795,13796,13797,13798,13799,13800,13801,13802,13803,13804,13805,13806,13807, #13808 13808,13809,13810,13811,13812,13813,13814,13815,13816,13817,13818,13819,13820,13821,13822,13823, #13824 13824,13825,13826,13827,13828,13829,13830,13831,13832,13833,13834,13835,13836,13837,13838,13839, #13840 13840,13841,13842,13843,13844,13845,13846,13847,13848,13849,13850,13851,13852,13853,13854,13855, #13856 13856,13857,13858,13859,13860,13861,13862,13863,13864,13865,13866,13867,13868,13869,13870,13871, #13872 13872,13873,13874,13875,13876,13877,13878,13879,13880,13881,13882,13883,13884,13885,13886,13887, #13888 13888,13889,13890,13891,13892,13893,13894,13895,13896,13897,13898,13899,13900,13901,13902,13903, #13904 13904,13905,13906,13907,13908,13909,13910,13911,13912,13913,13914,13915,13916,13917,13918,13919, #13920 13920,13921,13922,13923,13924,13925,13926,13927,13928,13929,13930,13931,13932,13933,13934,13935, #13936 13936,13937,13938,13939,13940,13941,13942,13943,13944,13945,13946,13947,13948,13949,13950,13951, #13952 13952,13953,13954,13955,13956,13957,13958,13959,13960,13961,13962,13963,13964,13965,13966,13967, #13968 13968,13969,13970,13971,13972) #13973 # flake8: noqa

bsd-3-clause

clagiordano/projectDeploy

modules/utils.py

1

1458

#!/usr/bin/env python # -*- coding: utf-8 -*- import os import subprocess import shlex import socket import modules.outputUtils as out def getSessionInfo(): info = {} output = subprocess.Popen(["who", "am", "i"], stdout=subprocess.PIPE).communicate() output = output[0].strip().split(' ') info['username'] = os.getlogin() info['ipaddress'] = output[-1][1:-1] info['hostname'] = socket.gethostname() if info['ipaddress'] != ":0": try: info['hostname'] = socket.gethostbyaddr(info['ipaddress']) except: try: info['hostname'] = getNetbiosHostname(info['ipaddress']) except: info['hostname'] = info['ipaddress'] return info def getNetbiosHostname(ipaddress): output = runShellCommand("nmblookup -A " + ipaddress, False) hostname = output[0].split('\n')[1].split(' ')[0].strip() if hostname == 'No': hostname = output[0] return hostname def runShellCommand(command, shell=True): try: p = subprocess.Popen( \ shlex.split(command), \ shell=shell, \ stdin=subprocess.PIPE, \ stdout=subprocess.PIPE, \ stderr=subprocess.PIPE) command_output, command_error = p.communicate() exit_status = p.returncode except: out.fatalError("Failed to execute command " + command) return command_output, exit_status, command_error

lgpl-3.0

mkuron/espresso

testsuite/python/dpd.py

1

15785

# # Copyright (C) 2013-2018 The ESPResSo project # # This file is part of ESPResSo. # # ESPResSo is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # ESPResSo is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. # import numpy as np import unittest as ut import unittest_decorators as utx from itertools import product import espressomd from espressomd.observables import DPDStress from tests_common import single_component_maxwell @utx.skipIfMissingFeatures("DPD") class DPDThermostat(ut.TestCase): """Tests the velocity distribution created by the dpd thermostat against the single component Maxwell distribution.""" s = espressomd.System(box_l=3*[10.0]) s.time_step = 0.01 s.cell_system.skin = 0.4 def setUp(self): self.s.seed = range(self.s.cell_system.get_state()["n_nodes"]) np.random.seed(16) def tearDown(self): s = self.s s.part.clear() def check_velocity_distribution(self, vel, minmax, n_bins, error_tol, kT): """check the recorded particle distributions in velocity against a histogram with n_bins bins. Drop velocities outside minmax. Check individual histogram bins up to an accuracy of error_tol against the analytical result for kT.""" for i in range(3): hist = np.histogram(vel[:, i], range=(-minmax, minmax), bins=n_bins, density=False) data = hist[0]/float(vel.shape[0]) bins = hist[1] for j in range(n_bins): found = data[j] expected = single_component_maxwell(bins[j], bins[j+1], kT) self.assertLessEqual(abs(found - expected), error_tol) def test_aa_verify_single_component_maxwell(self): """Verifies the normalization of the analytical expression.""" self.assertLessEqual( abs(single_component_maxwell(-10, 10, 4.)-1.), 1E-4) def check_total_zero(self): v_total = np.sum(self.s.part[:].v, axis=0) self.assertTrue(v_total[0] < 1e-11) self.assertTrue(v_total[1] < 1e-11) self.assertTrue(v_total[2] < 1e-11) def test_single(self): """Test velocity distribution of a dpd fluid with a single type.""" N = 200 s = self.s s.part.add(pos=s.box_l * np.random.random((N, 3))) kT = 2.3 gamma = 1.5 s.thermostat.set_dpd(kT=kT, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.5, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5) s.integrator.run(100) loops = 250 v_stored = np.zeros((N*loops, 3)) for i in range(loops): s.integrator.run(10) v_stored[i*N:(i+1)*N,:] = s.part[:].v v_minmax = 5 bins = 5 error_tol = 0.01 self.check_velocity_distribution( v_stored, v_minmax, bins, error_tol, kT) self.check_total_zero() def test_binary(self): """Test velocity distribution of binary dpd fluid""" N = 200 s = self.s s.part.add(pos=s.box_l * np.random.random((N // 2, 3)), type=N//2*[0]) s.part.add(pos=s.box_l * np.random.random((N // 2, 3)), type=N//2*[1]) kT = 2.3 gamma = 1.5 s.thermostat.set_dpd(kT=kT, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.0, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.0) s.non_bonded_inter[1, 1].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.0, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.0) s.non_bonded_inter[0, 1].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.5, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5) s.integrator.run(100) loops = 400 v_stored = np.zeros((N*loops, 3)) for i in range(loops): s.integrator.run(10) v_stored[i*N:(i+1)*N,:] = s.part[:].v v_minmax = 5 bins = 5 error_tol = 0.01 self.check_velocity_distribution( v_stored, v_minmax, bins, error_tol, kT) self.check_total_zero() def test_disable(self): N = 200 s = self.s s.time_step = 0.01 s.part.add(pos=s.box_l * np.random.random((N, 3))) kT = 2.3 gamma = 1.5 s.thermostat.set_dpd(kT=kT, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.5, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.5) s.integrator.run(10) s.thermostat.turn_off() # Reset velocities s.part[:].v = [1., 2., 3.] s.integrator.run(10) # Check that there was neither noise nor friction for v in s.part[:].v: for i in range(3): self.assertTrue(v[i] == float(i + 1)) # Turn back on s.thermostat.set_dpd(kT=kT, seed=42) # Reset velocities for faster convergence s.part[:].v = [0., 0., 0.] # Equilibrate s.integrator.run(250) loops = 250 v_stored = np.zeros((N*loops, 3)) for i in range(loops): s.integrator.run(10) v_stored[i*N:(i+1)*N,:] = s.part[:].v v_minmax = 5 bins = 5 error_tol = 0.012 self.check_velocity_distribution( v_stored, v_minmax, bins, error_tol, kT) def test_const_weight_function(self): s = self.s kT = 0. gamma = 1.42 s.thermostat.set_dpd(kT=kT, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=gamma, r_cut=1.2, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=1.4) s.part.add(id=0, pos=[5, 5, 5], type= 0, v=[0, 0, 0]) v = [.5, .8, .3] s.part.add(id=1, pos=[3, 5, 5], type= 0, v = v) s.integrator.run(0) # Outside of both cutoffs, forces should be 0 for f in s.part[:].f: self.assertTrue(f[0] == 0.) self.assertTrue(f[1] == 0.) self.assertTrue(f[2] == 0.) # Only trans s.part[1].pos = [5. - 1.3, 5, 5] s.integrator.run(0) # Only trans, so x component should be zero self.assertLess(abs(s.part[0].f[0]), 1e-16) # f = gamma * v_ij self.assertTrue(abs(s.part[0].f[1] - gamma * v[1]) < 1e-11) self.assertTrue(abs(s.part[0].f[2] - gamma * v[2]) < 1e-11) # Momentum conservation self.assertLess(abs(s.part[1].f[0]), 1e-16) self.assertTrue(abs(s.part[1].f[1] + gamma * v[1]) < 1e-11) self.assertTrue(abs(s.part[1].f[2] + gamma * v[2]) < 1e-11) # Trans and parallel s.part[1].pos = [5. - 1.1, 5, 5] s.integrator.run(0) self.assertTrue(abs(s.part[0].f[0] - gamma * v[0]) < 1e-11) self.assertTrue(abs(s.part[0].f[1] - gamma * v[1]) < 1e-11) self.assertTrue(abs(s.part[0].f[2] - gamma * v[2]) < 1e-11) self.assertTrue(abs(s.part[1].f[0] + gamma * v[0]) < 1e-11) self.assertTrue(abs(s.part[1].f[1] + gamma * v[1]) < 1e-11) self.assertTrue(abs(s.part[1].f[2] + gamma * v[2]) < 1e-11) def test_linear_weight_function(self): s = self.s kT = 0. gamma = 1.42 s.thermostat.set_dpd(kT=kT, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=1, gamma=gamma, r_cut=1.2, trans_weight_function=1, trans_gamma=gamma, trans_r_cut=1.4) def omega(dist, r_cut): return (1. - dist / r_cut) s.part.add(id=0, pos=[5, 5, 5], type= 0, v=[0, 0, 0]) v = [.5, .8, .3] s.part.add(id=1, pos=[3, 5, 5], type= 0, v = v) s.integrator.run(0) # Outside of both cutoffs, forces should be 0 for f in s.part[:].f: self.assertTrue(f[0] == 0.) self.assertTrue(f[1] == 0.) self.assertTrue(f[2] == 0.) # Only trans s.part[1].pos = [5. - 1.3, 5, 5] s.integrator.run(0) # Only trans, so x component should be zero self.assertLess(abs(s.part[0].f[0]), 1e-16) # f = gamma * v_ij self.assertTrue( abs(s.part[0].f[1] - omega(1.3, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[0].f[2] - omega(1.3, 1.4)**2*gamma*v[2]) < 1e-11) # Momentum conservation self.assertLess(abs(s.part[1].f[0]), 1e-16) self.assertTrue( abs(s.part[1].f[1] + omega(1.3, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[1].f[2] + omega(1.3, 1.4)**2*gamma*v[2]) < 1e-11) # Trans and parallel s.part[1].pos = [5. - 1.1, 5, 5] s.integrator.run(0) self.assertTrue( abs(s.part[0].f[0] - omega(1.1, 1.2)**2*gamma*v[0]) < 1e-11) self.assertTrue( abs(s.part[0].f[1] - omega(1.1, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[0].f[2] - omega(1.1, 1.4)**2*gamma*v[2]) < 1e-11) self.assertTrue( abs(s.part[1].f[0] + omega(1.1, 1.2)**2*gamma*v[0]) < 1e-11) self.assertTrue( abs(s.part[1].f[1] + omega(1.1, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[1].f[2] + omega(1.1, 1.4)**2*gamma*v[2]) < 1e-11) # Trans and parallel 2nd point s.part[1].pos = [5. - 0.5, 5, 5] s.integrator.run(0) self.assertTrue( abs(s.part[0].f[0] - omega(0.5, 1.2)**2*gamma*v[0]) < 1e-11) self.assertTrue( abs(s.part[0].f[1] - omega(0.5, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[0].f[2] - omega(0.5, 1.4)**2*gamma*v[2]) < 1e-11) self.assertTrue( abs(s.part[1].f[0] + omega(0.5, 1.2)**2*gamma*v[0]) < 1e-11) self.assertTrue( abs(s.part[1].f[1] + omega(0.5, 1.4)**2*gamma*v[1]) < 1e-11) self.assertTrue( abs(s.part[1].f[2] + omega(0.5, 1.4)**2*gamma*v[2]) < 1e-11) def test_ghosts_have_v(self): s = self.s r_cut = 1.5 dx = 0.25 * r_cut def f(i): if i == 0: return dx return 10. - dx # Put a particle in every corner for ind in product([0, 1], [0, 1], [0, 1]): pos = [f(x) for x in ind] v = ind s.part.add(pos=pos, v=v) gamma = 1.0 s.thermostat.set_dpd(kT=0.0, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=gamma, r_cut=r_cut, trans_weight_function=0, trans_gamma=gamma, trans_r_cut=r_cut) s.integrator.run(0) id = 0 for ind in product([0, 1], [0, 1], [0, 1]): for i in ind: if ind[i] == 0: sgn = 1 else: sgn = -1 self.assertAlmostEqual(sgn * 4.0, s.part[id].f[i]) id += 1 def test_constraint(self): import espressomd.shapes s = self.s s.constraints.add(shape=espressomd.shapes.Wall( dist=0, normal=[1, 0, 0]), particle_type=0, particle_velocity=[1, 2, 3]) s.thermostat.set_dpd(kT=0.0, seed=42) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=0, gamma=1., r_cut=1.0, trans_weight_function=0, trans_gamma=1., trans_r_cut=1.0) p = s.part.add(pos=[0.5, 0, 0], type=0, v=[0, 0, 0]) s.integrator.run(0) self.assertAlmostEqual(p.f[0], 1.) self.assertAlmostEqual(p.f[1], 2.) self.assertAlmostEqual(p.f[2], 3.) for c in s.constraints: s.constraints.remove(c) def test_dpd_stress(self): def calc_omega(dist): return (1./dist - 1./r_cut) ** 2.0 def diss_force_1(dist, vel_diff): f = np.zeros(3) vel12dotd12 = 0. dist_norm = np.linalg.norm(dist) for d in range(3): vel12dotd12 += vel_diff[d] * dist[d] friction = gamma * calc_omega(dist_norm) * vel12dotd12 for d in range(3): f[d] -= (dist[d] * friction) return f def diss_force_2(dist, vel_diff): dist_norm = np.linalg.norm(dist) mat = np.identity(3) * (dist_norm**2.0) f = np.zeros(3) for d1 in range(3): for d2 in range(3): mat[d1, d2] -= dist[d1] * dist[d2] for d1 in range(3): for d2 in range(3): f[d1] += mat[d1, d2] * vel_diff[d2] f[d1] *= - 1.0 * gamma/2.0 * calc_omega(dist_norm) return f def calc_stress(dist, vel_diff): force_pair = diss_force_1(dist, vel_diff) +\ diss_force_2(dist, vel_diff) stress_pair = np.outer(dist, force_pair) return stress_pair n_part = 1000 r_cut = 1.0 gamma = 5. r_cut = 1.0 s = self.s s.part.clear() s.non_bonded_inter[0, 0].dpd.set_params( weight_function=1, gamma=gamma, r_cut=r_cut, trans_weight_function=1, trans_gamma=gamma/2.0, trans_r_cut=r_cut) pos = s.box_l * np.random.random((n_part, 3)) s.part.add(pos=pos) s.integrator.run(10) s.thermostat.set_dpd(kT=0.0) s.integrator.run(steps=0, recalc_forces=True) pairs = s.part.pairs() stress = np.zeros([3, 3]) for pair in pairs: dist = s.distance_vec(pair[0], pair[1]) if np.linalg.norm(dist) < r_cut: vel_diff = pair[1].v - pair[0].v stress += calc_stress(dist, vel_diff) stress /= s.box_l[0] ** 3.0 dpd_stress = s.analysis.dpd_stress() dpd_obs = DPDStress() obs_stress = dpd_obs.calculate() obs_stress = np.array([[obs_stress[0], obs_stress[1], obs_stress[2]], [obs_stress[3], obs_stress[4], obs_stress[5]], [obs_stress[6], obs_stress[7], obs_stress[8]]]) np.testing.assert_array_almost_equal(np.copy(dpd_stress), stress) np.testing.assert_array_almost_equal(np.copy(obs_stress), stress) def test_momentum_conservation(self): r_cut = 1.0 gamma = 5. r_cut = 2.9 s = self.s s.thermostat.set_dpd(kT=1.3, seed=42) s.part.clear() s.part.add(pos=((0, 0, 0), (0.1, 0.1, 0.1), (0.1, 0, 0)), mass=(1, 2, 3)) s.non_bonded_inter[0, 0].dpd.set_params( weight_function=1, gamma=gamma, r_cut=r_cut, trans_weight_function=1, trans_gamma=gamma/2.0, trans_r_cut=r_cut) momentum = np.matmul(s.part[:].v.T, s.part[:].mass) for i in range(10): s.integrator.run(25) np.testing.assert_array_less(np.zeros((3, 3)), np.abs(s.part[:].f)) np.testing.assert_allclose(np.matmul(s.part[:].v.T, s.part[:].mass), momentum, atol=1E-12) if __name__ == "__main__": ut.main()

gpl-3.0

m4dcoder/cortex

setup.py

1

1799

#!/usr/bin/env python2.7 # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys from setuptools import setup, find_packages PKG_ROOT_DIR = os.path.dirname(os.path.realpath(__file__)) PKG_REQ_FILE = '%s/requirements.txt' % PKG_ROOT_DIR os.chdir(PKG_ROOT_DIR) def get_version_string(): version = None sys.path.insert(0, PKG_ROOT_DIR) from cortex import __version__ version = __version__ sys.path.pop(0) return version def get_requirements(): with open(PKG_REQ_FILE) as f: required = f.read().splitlines() # Ignore comments in the requirements file required = [line for line in required if not line.startswith('#')] return required setup( name='cortex', version=get_version_string(), packages=find_packages(exclude=[]), install_requires=get_requirements(), license='Apache License (2.0)', classifiers=[ 'Development Status :: 3 - Alpha', 'Intended Audience :: Information Technology', 'Intended Audience :: System Administrators', 'License :: OSI Approved :: Apache Software License', 'Operating System :: POSIX :: Linux', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7' ] )

apache-2.0

theguardian/CherryStrap

lib/pkg_resources/__init__.py

2

107034

""" Package resource API -------------------- A resource is a logical file contained within a package, or a logical subdirectory thereof. The package resource API expects resource names to have their path parts separated with ``/``, *not* whatever the local path separator is. Do not use os.path operations to manipulate resource names being passed into the API. The package resource API is designed to work with normal filesystem packages, .egg files, and unpacked .egg files. It can also work in a limited way with .zip files and with custom PEP 302 loaders that support the ``get_data()`` method. """ from __future__ import absolute_import import sys import os import io import time import re import types import zipfile import zipimport import warnings import stat import functools import pkgutil import token import symbol import operator import platform import collections import plistlib import email.parser import tempfile import textwrap from pkgutil import get_importer try: import _imp except ImportError: # Python 3.2 compatibility import imp as _imp PY3 = sys.version_info > (3,) PY2 = not PY3 if PY3: from urllib.parse import urlparse, urlunparse if PY2: from urlparse import urlparse, urlunparse if PY3: string_types = str, else: string_types = str, eval('unicode') iteritems = (lambda i: i.items()) if PY3 else lambda i: i.iteritems() # capture these to bypass sandboxing from os import utime try: from os import mkdir, rename, unlink WRITE_SUPPORT = True except ImportError: # no write support, probably under GAE WRITE_SUPPORT = False from os import open as os_open from os.path import isdir, split # Avoid try/except due to potential problems with delayed import mechanisms. if sys.version_info >= (3, 3) and sys.implementation.name == "cpython": import importlib.machinery as importlib_machinery else: importlib_machinery = None try: import parser except ImportError: pass try: import lib.pkg_resources._vendor.packaging.version import lib.pkg_resources._vendor.packaging.specifiers from lib.pkg_resources._vendor import packaging #packaging = lib.pkg_resources._vendor.packaging except ImportError: # fallback to naturally-installed version; allows system packagers to # omit vendored packages. import pkg_resources.packaging.version import packaging.specifiers if (3, 0) < sys.version_info < (3, 3): msg = ( "Support for Python 3.0-3.2 has been dropped. Future versions " "will fail here." ) warnings.warn(msg) # declare some globals that will be defined later to # satisfy the linters. require = None working_set = None class PEP440Warning(RuntimeWarning): """ Used when there is an issue with a version or specifier not complying with PEP 440. """ class _SetuptoolsVersionMixin(object): def __hash__(self): return super(_SetuptoolsVersionMixin, self).__hash__() def __lt__(self, other): if isinstance(other, tuple): return tuple(self) < other else: return super(_SetuptoolsVersionMixin, self).__lt__(other) def __le__(self, other): if isinstance(other, tuple): return tuple(self) <= other else: return super(_SetuptoolsVersionMixin, self).__le__(other) def __eq__(self, other): if isinstance(other, tuple): return tuple(self) == other else: return super(_SetuptoolsVersionMixin, self).__eq__(other) def __ge__(self, other): if isinstance(other, tuple): return tuple(self) >= other else: return super(_SetuptoolsVersionMixin, self).__ge__(other) def __gt__(self, other): if isinstance(other, tuple): return tuple(self) > other else: return super(_SetuptoolsVersionMixin, self).__gt__(other) def __ne__(self, other): if isinstance(other, tuple): return tuple(self) != other else: return super(_SetuptoolsVersionMixin, self).__ne__(other) def __getitem__(self, key): return tuple(self)[key] def __iter__(self): component_re = re.compile(r'(\d+ | [a-z]+ | \.| -)', re.VERBOSE) replace = { 'pre': 'c', 'preview': 'c', '-': 'final-', 'rc': 'c', 'dev': '@', }.get def _parse_version_parts(s): for part in component_re.split(s): part = replace(part, part) if not part or part == '.': continue if part[:1] in '0123456789': # pad for numeric comparison yield part.zfill(8) else: yield '*'+part # ensure that alpha/beta/candidate are before final yield '*final' def old_parse_version(s): parts = [] for part in _parse_version_parts(s.lower()): if part.startswith('*'): # remove '-' before a prerelease tag if part < '*final': while parts and parts[-1] == '*final-': parts.pop() # remove trailing zeros from each series of numeric parts while parts and parts[-1] == '00000000': parts.pop() parts.append(part) return tuple(parts) # Warn for use of this function warnings.warn( "You have iterated over the result of " "pkg_resources.parse_version. This is a legacy behavior which is " "inconsistent with the new version class introduced in setuptools " "8.0. In most cases, conversion to a tuple is unnecessary. For " "comparison of versions, sort the Version instances directly. If " "you have another use case requiring the tuple, please file a " "bug with the setuptools project describing that need.", RuntimeWarning, stacklevel=1, ) for part in old_parse_version(str(self)): yield part class SetuptoolsVersion(_SetuptoolsVersionMixin, packaging.version.Version): pass class SetuptoolsLegacyVersion(_SetuptoolsVersionMixin, packaging.version.LegacyVersion): pass def parse_version(v): try: return SetuptoolsVersion(v) except packaging.version.InvalidVersion: return SetuptoolsLegacyVersion(v) _state_vars = {} def _declare_state(vartype, **kw): globals().update(kw) _state_vars.update(dict.fromkeys(kw, vartype)) def __getstate__(): state = {} g = globals() for k, v in _state_vars.items(): state[k] = g['_sget_'+v](g[k]) return state def __setstate__(state): g = globals() for k, v in state.items(): g['_sset_'+_state_vars[k]](k, g[k], v) return state def _sget_dict(val): return val.copy() def _sset_dict(key, ob, state): ob.clear() ob.update(state) def _sget_object(val): return val.__getstate__() def _sset_object(key, ob, state): ob.__setstate__(state) _sget_none = _sset_none = lambda *args: None def get_supported_platform(): """Return this platform's maximum compatible version. distutils.util.get_platform() normally reports the minimum version of Mac OS X that would be required to *use* extensions produced by distutils. But what we want when checking compatibility is to know the version of Mac OS X that we are *running*. To allow usage of packages that explicitly require a newer version of Mac OS X, we must also know the current version of the OS. If this condition occurs for any other platform with a version in its platform strings, this function should be extended accordingly. """ plat = get_build_platform() m = macosVersionString.match(plat) if m is not None and sys.platform == "darwin": try: plat = 'macosx-%s-%s' % ('.'.join(_macosx_vers()[:2]), m.group(3)) except ValueError: # not Mac OS X pass return plat __all__ = [ # Basic resource access and distribution/entry point discovery 'require', 'run_script', 'get_provider', 'get_distribution', 'load_entry_point', 'get_entry_map', 'get_entry_info', 'iter_entry_points', 'resource_string', 'resource_stream', 'resource_filename', 'resource_listdir', 'resource_exists', 'resource_isdir', # Environmental control 'declare_namespace', 'working_set', 'add_activation_listener', 'find_distributions', 'set_extraction_path', 'cleanup_resources', 'get_default_cache', # Primary implementation classes 'Environment', 'WorkingSet', 'ResourceManager', 'Distribution', 'Requirement', 'EntryPoint', # Exceptions 'ResolutionError', 'VersionConflict', 'DistributionNotFound', 'UnknownExtra', 'ExtractionError', # Warnings 'PEP440Warning', # Parsing functions and string utilities 'parse_requirements', 'parse_version', 'safe_name', 'safe_version', 'get_platform', 'compatible_platforms', 'yield_lines', 'split_sections', 'safe_extra', 'to_filename', 'invalid_marker', 'evaluate_marker', # filesystem utilities 'ensure_directory', 'normalize_path', # Distribution "precedence" constants 'EGG_DIST', 'BINARY_DIST', 'SOURCE_DIST', 'CHECKOUT_DIST', 'DEVELOP_DIST', # "Provider" interfaces, implementations, and registration/lookup APIs 'IMetadataProvider', 'IResourceProvider', 'FileMetadata', 'PathMetadata', 'EggMetadata', 'EmptyProvider', 'empty_provider', 'NullProvider', 'EggProvider', 'DefaultProvider', 'ZipProvider', 'register_finder', 'register_namespace_handler', 'register_loader_type', 'fixup_namespace_packages', 'get_importer', # Deprecated/backward compatibility only 'run_main', 'AvailableDistributions', ] class ResolutionError(Exception): """Abstract base for dependency resolution errors""" def __repr__(self): return self.__class__.__name__+repr(self.args) class VersionConflict(ResolutionError): """ An already-installed version conflicts with the requested version. Should be initialized with the installed Distribution and the requested Requirement. """ _template = "{self.dist} is installed but {self.req} is required" @property def dist(self): return self.args[0] @property def req(self): return self.args[1] def report(self): return self._template.format(**locals()) def with_context(self, required_by): """ If required_by is non-empty, return a version of self that is a ContextualVersionConflict. """ if not required_by: return self args = self.args + (required_by,) return ContextualVersionConflict(*args) class ContextualVersionConflict(VersionConflict): """ A VersionConflict that accepts a third parameter, the set of the requirements that required the installed Distribution. """ _template = VersionConflict._template + ' by {self.required_by}' @property def required_by(self): return self.args[2] class DistributionNotFound(ResolutionError): """A requested distribution was not found""" _template = ("The '{self.req}' distribution was not found " "and is required by {self.requirers_str}") @property def req(self): return self.args[0] @property def requirers(self): return self.args[1] @property def requirers_str(self): if not self.requirers: return 'the application' return ', '.join(self.requirers) def report(self): return self._template.format(**locals()) def __str__(self): return self.report() class UnknownExtra(ResolutionError): """Distribution doesn't have an "extra feature" of the given name""" _provider_factories = {} PY_MAJOR = sys.version[:3] EGG_DIST = 3 BINARY_DIST = 2 SOURCE_DIST = 1 CHECKOUT_DIST = 0 DEVELOP_DIST = -1 def register_loader_type(loader_type, provider_factory): """Register `provider_factory` to make providers for `loader_type` `loader_type` is the type or class of a PEP 302 ``module.__loader__``, and `provider_factory` is a function that, passed a *module* object, returns an ``IResourceProvider`` for that module. """ _provider_factories[loader_type] = provider_factory def get_provider(moduleOrReq): """Return an IResourceProvider for the named module or requirement""" if isinstance(moduleOrReq, Requirement): return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0] try: module = sys.modules[moduleOrReq] except KeyError: __import__(moduleOrReq) module = sys.modules[moduleOrReq] loader = getattr(module, '__loader__', None) return _find_adapter(_provider_factories, loader)(module) def _macosx_vers(_cache=[]): if not _cache: version = platform.mac_ver()[0] # fallback for MacPorts if version == '': plist = '/System/Library/CoreServices/SystemVersion.plist' if os.path.exists(plist): if hasattr(plistlib, 'readPlist'): plist_content = plistlib.readPlist(plist) if 'ProductVersion' in plist_content: version = plist_content['ProductVersion'] _cache.append(version.split('.')) return _cache[0] def _macosx_arch(machine): return {'PowerPC': 'ppc', 'Power_Macintosh': 'ppc'}.get(machine, machine) def get_build_platform(): """Return this platform's string for platform-specific distributions XXX Currently this is the same as ``distutils.util.get_platform()``, but it needs some hacks for Linux and Mac OS X. """ try: # Python 2.7 or >=3.2 from sysconfig import get_platform except ImportError: from distutils.util import get_platform plat = get_platform() if sys.platform == "darwin" and not plat.startswith('macosx-'): try: version = _macosx_vers() machine = os.uname()[4].replace(" ", "_") return "macosx-%d.%d-%s" % (int(version[0]), int(version[1]), _macosx_arch(machine)) except ValueError: # if someone is running a non-Mac darwin system, this will fall # through to the default implementation pass return plat macosVersionString = re.compile(r"macosx-(\d+)\.(\d+)-(.*)") darwinVersionString = re.compile(r"darwin-(\d+)\.(\d+)\.(\d+)-(.*)") # XXX backward compat get_platform = get_build_platform def compatible_platforms(provided, required): """Can code for the `provided` platform run on the `required` platform? Returns true if either platform is ``None``, or the platforms are equal. XXX Needs compatibility checks for Linux and other unixy OSes. """ if provided is None or required is None or provided==required: # easy case return True # Mac OS X special cases reqMac = macosVersionString.match(required) if reqMac: provMac = macosVersionString.match(provided) # is this a Mac package? if not provMac: # this is backwards compatibility for packages built before # setuptools 0.6. All packages built after this point will # use the new macosx designation. provDarwin = darwinVersionString.match(provided) if provDarwin: dversion = int(provDarwin.group(1)) macosversion = "%s.%s" % (reqMac.group(1), reqMac.group(2)) if dversion == 7 and macosversion >= "10.3" or \ dversion == 8 and macosversion >= "10.4": return True # egg isn't macosx or legacy darwin return False # are they the same major version and machine type? if provMac.group(1) != reqMac.group(1) or \ provMac.group(3) != reqMac.group(3): return False # is the required OS major update >= the provided one? if int(provMac.group(2)) > int(reqMac.group(2)): return False return True # XXX Linux and other platforms' special cases should go here return False def run_script(dist_spec, script_name): """Locate distribution `dist_spec` and run its `script_name` script""" ns = sys._getframe(1).f_globals name = ns['__name__'] ns.clear() ns['__name__'] = name require(dist_spec)[0].run_script(script_name, ns) # backward compatibility run_main = run_script def get_distribution(dist): """Return a current distribution object for a Requirement or string""" if isinstance(dist, string_types): dist = Requirement.parse(dist) if isinstance(dist, Requirement): dist = get_provider(dist) if not isinstance(dist, Distribution): raise TypeError("Expected string, Requirement, or Distribution", dist) return dist def load_entry_point(dist, group, name): """Return `name` entry point of `group` for `dist` or raise ImportError""" return get_distribution(dist).load_entry_point(group, name) def get_entry_map(dist, group=None): """Return the entry point map for `group`, or the full entry map""" return get_distribution(dist).get_entry_map(group) def get_entry_info(dist, group, name): """Return the EntryPoint object for `group`+`name`, or ``None``""" return get_distribution(dist).get_entry_info(group, name) class IMetadataProvider: def has_metadata(name): """Does the package's distribution contain the named metadata?""" def get_metadata(name): """The named metadata resource as a string""" def get_metadata_lines(name): """Yield named metadata resource as list of non-blank non-comment lines Leading and trailing whitespace is stripped from each line, and lines with ``#`` as the first non-blank character are omitted.""" def metadata_isdir(name): """Is the named metadata a directory? (like ``os.path.isdir()``)""" def metadata_listdir(name): """List of metadata names in the directory (like ``os.listdir()``)""" def run_script(script_name, namespace): """Execute the named script in the supplied namespace dictionary""" class IResourceProvider(IMetadataProvider): """An object that provides access to package resources""" def get_resource_filename(manager, resource_name): """Return a true filesystem path for `resource_name` `manager` must be an ``IResourceManager``""" def get_resource_stream(manager, resource_name): """Return a readable file-like object for `resource_name` `manager` must be an ``IResourceManager``""" def get_resource_string(manager, resource_name): """Return a string containing the contents of `resource_name` `manager` must be an ``IResourceManager``""" def has_resource(resource_name): """Does the package contain the named resource?""" def resource_isdir(resource_name): """Is the named resource a directory? (like ``os.path.isdir()``)""" def resource_listdir(resource_name): """List of resource names in the directory (like ``os.listdir()``)""" class WorkingSet(object): """A collection of active distributions on sys.path (or a similar list)""" def __init__(self, entries=None): """Create working set from list of path entries (default=sys.path)""" self.entries = [] self.entry_keys = {} self.by_key = {} self.callbacks = [] if entries is None: entries = sys.path for entry in entries: self.add_entry(entry) @classmethod def _build_master(cls): """ Prepare the master working set. """ ws = cls() try: from __main__ import __requires__ except ImportError: # The main program does not list any requirements return ws # ensure the requirements are met try: ws.require(__requires__) except VersionConflict: return cls._build_from_requirements(__requires__) return ws @classmethod def _build_from_requirements(cls, req_spec): """ Build a working set from a requirement spec. Rewrites sys.path. """ # try it without defaults already on sys.path # by starting with an empty path ws = cls([]) reqs = parse_requirements(req_spec) dists = ws.resolve(reqs, Environment()) for dist in dists: ws.add(dist) # add any missing entries from sys.path for entry in sys.path: if entry not in ws.entries: ws.add_entry(entry) # then copy back to sys.path sys.path[:] = ws.entries return ws def add_entry(self, entry): """Add a path item to ``.entries``, finding any distributions on it ``find_distributions(entry, True)`` is used to find distributions corresponding to the path entry, and they are added. `entry` is always appended to ``.entries``, even if it is already present. (This is because ``sys.path`` can contain the same value more than once, and the ``.entries`` of the ``sys.path`` WorkingSet should always equal ``sys.path``.) """ self.entry_keys.setdefault(entry, []) self.entries.append(entry) for dist in find_distributions(entry, True): self.add(dist, entry, False) def __contains__(self, dist): """True if `dist` is the active distribution for its project""" return self.by_key.get(dist.key) == dist def find(self, req): """Find a distribution matching requirement `req` If there is an active distribution for the requested project, this returns it as long as it meets the version requirement specified by `req`. But, if there is an active distribution for the project and it does *not* meet the `req` requirement, ``VersionConflict`` is raised. If there is no active distribution for the requested project, ``None`` is returned. """ dist = self.by_key.get(req.key) if dist is not None and dist not in req: # XXX add more info raise VersionConflict(dist, req) return dist def iter_entry_points(self, group, name=None): """Yield entry point objects from `group` matching `name` If `name` is None, yields all entry points in `group` from all distributions in the working set, otherwise only ones matching both `group` and `name` are yielded (in distribution order). """ for dist in self: entries = dist.get_entry_map(group) if name is None: for ep in entries.values(): yield ep elif name in entries: yield entries[name] def run_script(self, requires, script_name): """Locate distribution for `requires` and run `script_name` script""" ns = sys._getframe(1).f_globals name = ns['__name__'] ns.clear() ns['__name__'] = name self.require(requires)[0].run_script(script_name, ns) def __iter__(self): """Yield distributions for non-duplicate projects in the working set The yield order is the order in which the items' path entries were added to the working set. """ seen = {} for item in self.entries: if item not in self.entry_keys: # workaround a cache issue continue for key in self.entry_keys[item]: if key not in seen: seen[key]=1 yield self.by_key[key] def add(self, dist, entry=None, insert=True, replace=False): """Add `dist` to working set, associated with `entry` If `entry` is unspecified, it defaults to the ``.location`` of `dist`. On exit from this routine, `entry` is added to the end of the working set's ``.entries`` (if it wasn't already present). `dist` is only added to the working set if it's for a project that doesn't already have a distribution in the set, unless `replace=True`. If it's added, any callbacks registered with the ``subscribe()`` method will be called. """ if insert: dist.insert_on(self.entries, entry) if entry is None: entry = dist.location keys = self.entry_keys.setdefault(entry,[]) keys2 = self.entry_keys.setdefault(dist.location,[]) if not replace and dist.key in self.by_key: # ignore hidden distros return self.by_key[dist.key] = dist if dist.key not in keys: keys.append(dist.key) if dist.key not in keys2: keys2.append(dist.key) self._added_new(dist) def resolve(self, requirements, env=None, installer=None, replace_conflicting=False): """List all distributions needed to (recursively) meet `requirements` `requirements` must be a sequence of ``Requirement`` objects. `env`, if supplied, should be an ``Environment`` instance. If not supplied, it defaults to all distributions available within any entry or distribution in the working set. `installer`, if supplied, will be invoked with each requirement that cannot be met by an already-installed distribution; it should return a ``Distribution`` or ``None``. Unless `replace_conflicting=True`, raises a VersionConflict exception if any requirements are found on the path that have the correct name but the wrong version. Otherwise, if an `installer` is supplied it will be invoked to obtain the correct version of the requirement and activate it. """ # set up the stack requirements = list(requirements)[::-1] # set of processed requirements processed = {} # key -> dist best = {} to_activate = [] # Mapping of requirement to set of distributions that required it; # useful for reporting info about conflicts. required_by = collections.defaultdict(set) while requirements: # process dependencies breadth-first req = requirements.pop(0) if req in processed: # Ignore cyclic or redundant dependencies continue dist = best.get(req.key) if dist is None: # Find the best distribution and add it to the map dist = self.by_key.get(req.key) if dist is None or (dist not in req and replace_conflicting): ws = self if env is None: if dist is None: env = Environment(self.entries) else: # Use an empty environment and workingset to avoid # any further conflicts with the conflicting # distribution env = Environment([]) ws = WorkingSet([]) dist = best[req.key] = env.best_match(req, ws, installer) if dist is None: requirers = required_by.get(req, None) raise DistributionNotFound(req, requirers) to_activate.append(dist) if dist not in req: # Oops, the "best" so far conflicts with a dependency dependent_req = required_by[req] raise VersionConflict(dist, req).with_context(dependent_req) # push the new requirements onto the stack new_requirements = dist.requires(req.extras)[::-1] requirements.extend(new_requirements) # Register the new requirements needed by req for new_requirement in new_requirements: required_by[new_requirement].add(req.project_name) processed[req] = True # return list of distros to activate return to_activate def find_plugins(self, plugin_env, full_env=None, installer=None, fallback=True): """Find all activatable distributions in `plugin_env` Example usage:: distributions, errors = working_set.find_plugins( Environment(plugin_dirlist) ) # add plugins+libs to sys.path map(working_set.add, distributions) # display errors print('Could not load', errors) The `plugin_env` should be an ``Environment`` instance that contains only distributions that are in the project's "plugin directory" or directories. The `full_env`, if supplied, should be an ``Environment`` contains all currently-available distributions. If `full_env` is not supplied, one is created automatically from the ``WorkingSet`` this method is called on, which will typically mean that every directory on ``sys.path`` will be scanned for distributions. `installer` is a standard installer callback as used by the ``resolve()`` method. The `fallback` flag indicates whether we should attempt to resolve older versions of a plugin if the newest version cannot be resolved. This method returns a 2-tuple: (`distributions`, `error_info`), where `distributions` is a list of the distributions found in `plugin_env` that were loadable, along with any other distributions that are needed to resolve their dependencies. `error_info` is a dictionary mapping unloadable plugin distributions to an exception instance describing the error that occurred. Usually this will be a ``DistributionNotFound`` or ``VersionConflict`` instance. """ plugin_projects = list(plugin_env) # scan project names in alphabetic order plugin_projects.sort() error_info = {} distributions = {} if full_env is None: env = Environment(self.entries) env += plugin_env else: env = full_env + plugin_env shadow_set = self.__class__([]) # put all our entries in shadow_set list(map(shadow_set.add, self)) for project_name in plugin_projects: for dist in plugin_env[project_name]: req = [dist.as_requirement()] try: resolvees = shadow_set.resolve(req, env, installer) except ResolutionError as v: # save error info error_info[dist] = v if fallback: # try the next older version of project continue else: # give up on this project, keep going break else: list(map(shadow_set.add, resolvees)) distributions.update(dict.fromkeys(resolvees)) # success, no need to try any more versions of this project break distributions = list(distributions) distributions.sort() return distributions, error_info def require(self, *requirements): """Ensure that distributions matching `requirements` are activated `requirements` must be a string or a (possibly-nested) sequence thereof, specifying the distributions and versions required. The return value is a sequence of the distributions that needed to be activated to fulfill the requirements; all relevant distributions are included, even if they were already activated in this working set. """ needed = self.resolve(parse_requirements(requirements)) for dist in needed: self.add(dist) return needed def subscribe(self, callback): """Invoke `callback` for all distributions (including existing ones)""" if callback in self.callbacks: return self.callbacks.append(callback) for dist in self: callback(dist) def _added_new(self, dist): for callback in self.callbacks: callback(dist) def __getstate__(self): return ( self.entries[:], self.entry_keys.copy(), self.by_key.copy(), self.callbacks[:] ) def __setstate__(self, e_k_b_c): entries, keys, by_key, callbacks = e_k_b_c self.entries = entries[:] self.entry_keys = keys.copy() self.by_key = by_key.copy() self.callbacks = callbacks[:] class Environment(object): """Searchable snapshot of distributions on a search path""" def __init__(self, search_path=None, platform=get_supported_platform(), python=PY_MAJOR): """Snapshot distributions available on a search path Any distributions found on `search_path` are added to the environment. `search_path` should be a sequence of ``sys.path`` items. If not supplied, ``sys.path`` is used. `platform` is an optional string specifying the name of the platform that platform-specific distributions must be compatible with. If unspecified, it defaults to the current platform. `python` is an optional string naming the desired version of Python (e.g. ``'3.3'``); it defaults to the current version. You may explicitly set `platform` (and/or `python`) to ``None`` if you wish to map *all* distributions, not just those compatible with the running platform or Python version. """ self._distmap = {} self.platform = platform self.python = python self.scan(search_path) def can_add(self, dist): """Is distribution `dist` acceptable for this environment? The distribution must match the platform and python version requirements specified when this environment was created, or False is returned. """ return (self.python is None or dist.py_version is None or dist.py_version==self.python) \ and compatible_platforms(dist.platform, self.platform) def remove(self, dist): """Remove `dist` from the environment""" self._distmap[dist.key].remove(dist) def scan(self, search_path=None): """Scan `search_path` for distributions usable in this environment Any distributions found are added to the environment. `search_path` should be a sequence of ``sys.path`` items. If not supplied, ``sys.path`` is used. Only distributions conforming to the platform/python version defined at initialization are added. """ if search_path is None: search_path = sys.path for item in search_path: for dist in find_distributions(item): self.add(dist) def __getitem__(self, project_name): """Return a newest-to-oldest list of distributions for `project_name` Uses case-insensitive `project_name` comparison, assuming all the project's distributions use their project's name converted to all lowercase as their key. """ distribution_key = project_name.lower() return self._distmap.get(distribution_key, []) def add(self, dist): """Add `dist` if we ``can_add()`` it and it has not already been added """ if self.can_add(dist) and dist.has_version(): dists = self._distmap.setdefault(dist.key, []) if dist not in dists: dists.append(dist) dists.sort(key=operator.attrgetter('hashcmp'), reverse=True) def best_match(self, req, working_set, installer=None): """Find distribution best matching `req` and usable on `working_set` This calls the ``find(req)`` method of the `working_set` to see if a suitable distribution is already active. (This may raise ``VersionConflict`` if an unsuitable version of the project is already active in the specified `working_set`.) If a suitable distribution isn't active, this method returns the newest distribution in the environment that meets the ``Requirement`` in `req`. If no suitable distribution is found, and `installer` is supplied, then the result of calling the environment's ``obtain(req, installer)`` method will be returned. """ dist = working_set.find(req) if dist is not None: return dist for dist in self[req.key]: if dist in req: return dist # try to download/install return self.obtain(req, installer) def obtain(self, requirement, installer=None): """Obtain a distribution matching `requirement` (e.g. via download) Obtain a distro that matches requirement (e.g. via download). In the base ``Environment`` class, this routine just returns ``installer(requirement)``, unless `installer` is None, in which case None is returned instead. This method is a hook that allows subclasses to attempt other ways of obtaining a distribution before falling back to the `installer` argument.""" if installer is not None: return installer(requirement) def __iter__(self): """Yield the unique project names of the available distributions""" for key in self._distmap.keys(): if self[key]: yield key def __iadd__(self, other): """In-place addition of a distribution or environment""" if isinstance(other, Distribution): self.add(other) elif isinstance(other, Environment): for project in other: for dist in other[project]: self.add(dist) else: raise TypeError("Can't add %r to environment" % (other,)) return self def __add__(self, other): """Add an environment or distribution to an environment""" new = self.__class__([], platform=None, python=None) for env in self, other: new += env return new # XXX backward compatibility AvailableDistributions = Environment class ExtractionError(RuntimeError): """An error occurred extracting a resource The following attributes are available from instances of this exception: manager The resource manager that raised this exception cache_path The base directory for resource extraction original_error The exception instance that caused extraction to fail """ class ResourceManager: """Manage resource extraction and packages""" extraction_path = None def __init__(self): self.cached_files = {} def resource_exists(self, package_or_requirement, resource_name): """Does the named resource exist?""" return get_provider(package_or_requirement).has_resource(resource_name) def resource_isdir(self, package_or_requirement, resource_name): """Is the named resource an existing directory?""" return get_provider(package_or_requirement).resource_isdir( resource_name ) def resource_filename(self, package_or_requirement, resource_name): """Return a true filesystem path for specified resource""" return get_provider(package_or_requirement).get_resource_filename( self, resource_name ) def resource_stream(self, package_or_requirement, resource_name): """Return a readable file-like object for specified resource""" return get_provider(package_or_requirement).get_resource_stream( self, resource_name ) def resource_string(self, package_or_requirement, resource_name): """Return specified resource as a string""" return get_provider(package_or_requirement).get_resource_string( self, resource_name ) def resource_listdir(self, package_or_requirement, resource_name): """List the contents of the named resource directory""" return get_provider(package_or_requirement).resource_listdir( resource_name ) def extraction_error(self): """Give an error message for problems extracting file(s)""" old_exc = sys.exc_info()[1] cache_path = self.extraction_path or get_default_cache() err = ExtractionError("""Can't extract file(s) to egg cache The following error occurred while trying to extract file(s) to the Python egg cache: %s The Python egg cache directory is currently set to: %s Perhaps your account does not have write access to this directory? You can change the cache directory by setting the PYTHON_EGG_CACHE environment variable to point to an accessible directory. """ % (old_exc, cache_path) ) err.manager = self err.cache_path = cache_path err.original_error = old_exc raise err def get_cache_path(self, archive_name, names=()): """Return absolute location in cache for `archive_name` and `names` The parent directory of the resulting path will be created if it does not already exist. `archive_name` should be the base filename of the enclosing egg (which may not be the name of the enclosing zipfile!), including its ".egg" extension. `names`, if provided, should be a sequence of path name parts "under" the egg's extraction location. This method should only be called by resource providers that need to obtain an extraction location, and only for names they intend to extract, as it tracks the generated names for possible cleanup later. """ extract_path = self.extraction_path or get_default_cache() target_path = os.path.join(extract_path, archive_name+'-tmp', *names) try: _bypass_ensure_directory(target_path) except: self.extraction_error() self._warn_unsafe_extraction_path(extract_path) self.cached_files[target_path] = 1 return target_path @staticmethod def _warn_unsafe_extraction_path(path): """ If the default extraction path is overridden and set to an insecure location, such as /tmp, it opens up an opportunity for an attacker to replace an extracted file with an unauthorized payload. Warn the user if a known insecure location is used. See Distribute #375 for more details. """ if os.name == 'nt' and not path.startswith(os.environ['windir']): # On Windows, permissions are generally restrictive by default # and temp directories are not writable by other users, so # bypass the warning. return mode = os.stat(path).st_mode if mode & stat.S_IWOTH or mode & stat.S_IWGRP: msg = ("%s is writable by group/others and vulnerable to attack " "when " "used with get_resource_filename. Consider a more secure " "location (set with .set_extraction_path or the " "PYTHON_EGG_CACHE environment variable)." % path) warnings.warn(msg, UserWarning) def postprocess(self, tempname, filename): """Perform any platform-specific postprocessing of `tempname` This is where Mac header rewrites should be done; other platforms don't have anything special they should do. Resource providers should call this method ONLY after successfully extracting a compressed resource. They must NOT call it on resources that are already in the filesystem. `tempname` is the current (temporary) name of the file, and `filename` is the name it will be renamed to by the caller after this routine returns. """ if os.name == 'posix': # Make the resource executable mode = ((os.stat(tempname).st_mode) | 0o555) & 0o7777 os.chmod(tempname, mode) def set_extraction_path(self, path): """Set the base path where resources will be extracted to, if needed. If you do not call this routine before any extractions take place, the path defaults to the return value of ``get_default_cache()``. (Which is based on the ``PYTHON_EGG_CACHE`` environment variable, with various platform-specific fallbacks. See that routine's documentation for more details.) Resources are extracted to subdirectories of this path based upon information given by the ``IResourceProvider``. You may set this to a temporary directory, but then you must call ``cleanup_resources()`` to delete the extracted files when done. There is no guarantee that ``cleanup_resources()`` will be able to remove all extracted files. (Note: you may not change the extraction path for a given resource manager once resources have been extracted, unless you first call ``cleanup_resources()``.) """ if self.cached_files: raise ValueError( "Can't change extraction path, files already extracted" ) self.extraction_path = path def cleanup_resources(self, force=False): """ Delete all extracted resource files and directories, returning a list of the file and directory names that could not be successfully removed. This function does not have any concurrency protection, so it should generally only be called when the extraction path is a temporary directory exclusive to a single process. This method is not automatically called; you must call it explicitly or register it as an ``atexit`` function if you wish to ensure cleanup of a temporary directory used for extractions. """ # XXX def get_default_cache(): """Determine the default cache location This returns the ``PYTHON_EGG_CACHE`` environment variable, if set. Otherwise, on Windows, it returns a "Python-Eggs" subdirectory of the "Application Data" directory. On all other systems, it's "~/.python-eggs". """ try: return os.environ['PYTHON_EGG_CACHE'] except KeyError: pass if os.name!='nt': return os.path.expanduser('~/.python-eggs') # XXX this may be locale-specific! app_data = 'Application Data' app_homes = [ # best option, should be locale-safe (('APPDATA',), None), (('USERPROFILE',), app_data), (('HOMEDRIVE','HOMEPATH'), app_data), (('HOMEPATH',), app_data), (('HOME',), None), # 95/98/ME (('WINDIR',), app_data), ] for keys, subdir in app_homes: dirname = '' for key in keys: if key in os.environ: dirname = os.path.join(dirname, os.environ[key]) else: break else: if subdir: dirname = os.path.join(dirname, subdir) return os.path.join(dirname, 'Python-Eggs') else: raise RuntimeError( "Please set the PYTHON_EGG_CACHE enviroment variable" ) def safe_name(name): """Convert an arbitrary string to a standard distribution name Any runs of non-alphanumeric/. characters are replaced with a single '-'. """ return re.sub('[^A-Za-z0-9.]+', '-', name) def safe_version(version): """ Convert an arbitrary string to a standard version string """ try: # normalize the version return str(packaging.version.Version(version)) except packaging.version.InvalidVersion: version = version.replace(' ','.') return re.sub('[^A-Za-z0-9.]+', '-', version) def safe_extra(extra): """Convert an arbitrary string to a standard 'extra' name Any runs of non-alphanumeric characters are replaced with a single '_', and the result is always lowercased. """ return re.sub('[^A-Za-z0-9.]+', '_', extra).lower() def to_filename(name): """Convert a project or version name to its filename-escaped form Any '-' characters are currently replaced with '_'. """ return name.replace('-','_') class MarkerEvaluation(object): values = { 'os_name': lambda: os.name, 'sys_platform': lambda: sys.platform, 'python_full_version': platform.python_version, 'python_version': lambda: platform.python_version()[:3], 'platform_version': platform.version, 'platform_machine': platform.machine, 'platform_python_implementation': platform.python_implementation, 'python_implementation': platform.python_implementation, } @classmethod def is_invalid_marker(cls, text): """ Validate text as a PEP 426 environment marker; return an exception if invalid or False otherwise. """ try: cls.evaluate_marker(text) except SyntaxError as e: return cls.normalize_exception(e) return False @staticmethod def normalize_exception(exc): """ Given a SyntaxError from a marker evaluation, normalize the error message: - Remove indications of filename and line number. - Replace platform-specific error messages with standard error messages. """ subs = { 'unexpected EOF while parsing': 'invalid syntax', 'parenthesis is never closed': 'invalid syntax', } exc.filename = None exc.lineno = None exc.msg = subs.get(exc.msg, exc.msg) return exc @classmethod def and_test(cls, nodelist): # MUST NOT short-circuit evaluation, or invalid syntax can be skipped! items = [ cls.interpret(nodelist[i]) for i in range(1, len(nodelist), 2) ] return functools.reduce(operator.and_, items) @classmethod def test(cls, nodelist): # MUST NOT short-circuit evaluation, or invalid syntax can be skipped! items = [ cls.interpret(nodelist[i]) for i in range(1, len(nodelist), 2) ] return functools.reduce(operator.or_, items) @classmethod def atom(cls, nodelist): t = nodelist[1][0] if t == token.LPAR: if nodelist[2][0] == token.RPAR: raise SyntaxError("Empty parentheses") return cls.interpret(nodelist[2]) msg = "Language feature not supported in environment markers" raise SyntaxError(msg) @classmethod def comparison(cls, nodelist): if len(nodelist) > 4: msg = "Chained comparison not allowed in environment markers" raise SyntaxError(msg) comp = nodelist[2][1] cop = comp[1] if comp[0] == token.NAME: if len(nodelist[2]) == 3: if cop == 'not': cop = 'not in' else: cop = 'is not' try: cop = cls.get_op(cop) except KeyError: msg = repr(cop) + " operator not allowed in environment markers" raise SyntaxError(msg) return cop(cls.evaluate(nodelist[1]), cls.evaluate(nodelist[3])) @classmethod def get_op(cls, op): ops = { symbol.test: cls.test, symbol.and_test: cls.and_test, symbol.atom: cls.atom, symbol.comparison: cls.comparison, 'not in': lambda x, y: x not in y, 'in': lambda x, y: x in y, '==': operator.eq, '!=': operator.ne, '<': operator.lt, '>': operator.gt, '<=': operator.le, '>=': operator.ge, } if hasattr(symbol, 'or_test'): ops[symbol.or_test] = cls.test return ops[op] @classmethod def evaluate_marker(cls, text, extra=None): """ Evaluate a PEP 426 environment marker on CPython 2.4+. Return a boolean indicating the marker result in this environment. Raise SyntaxError if marker is invalid. This implementation uses the 'parser' module, which is not implemented on Jython and has been superseded by the 'ast' module in Python 2.6 and later. """ return cls.interpret(parser.expr(text).totuple(1)[1]) @staticmethod def _translate_metadata2(env): """ Markerlib implements Metadata 1.2 (PEP 345) environment markers. Translate the variables to Metadata 2.0 (PEP 426). """ return dict( (key.replace('.', '_'), value) for key, value in env ) @classmethod def _markerlib_evaluate(cls, text): """ Evaluate a PEP 426 environment marker using markerlib. Return a boolean indicating the marker result in this environment. Raise SyntaxError if marker is invalid. """ import _markerlib env = cls._translate_metadata2(_markerlib.default_environment()) try: result = _markerlib.interpret(text, env) except NameError as e: raise SyntaxError(e.args[0]) return result if 'parser' not in globals(): # Fall back to less-complete _markerlib implementation if 'parser' module # is not available. evaluate_marker = _markerlib_evaluate @classmethod def interpret(cls, nodelist): while len(nodelist)==2: nodelist = nodelist[1] try: op = cls.get_op(nodelist[0]) except KeyError: raise SyntaxError("Comparison or logical expression expected") return op(nodelist) @classmethod def evaluate(cls, nodelist): while len(nodelist)==2: nodelist = nodelist[1] kind = nodelist[0] name = nodelist[1] if kind==token.NAME: try: op = cls.values[name] except KeyError: raise SyntaxError("Unknown name %r" % name) return op() if kind==token.STRING: s = nodelist[1] if not cls._safe_string(s): raise SyntaxError( "Only plain strings allowed in environment markers") return s[1:-1] msg = "Language feature not supported in environment markers" raise SyntaxError(msg) @staticmethod def _safe_string(cand): return ( cand[:1] in "'\"" and not cand.startswith('"""') and not cand.startswith("'''") and '\\' not in cand ) invalid_marker = MarkerEvaluation.is_invalid_marker evaluate_marker = MarkerEvaluation.evaluate_marker class NullProvider: """Try to implement resources and metadata for arbitrary PEP 302 loaders""" egg_name = None egg_info = None loader = None def __init__(self, module): self.loader = getattr(module, '__loader__', None) self.module_path = os.path.dirname(getattr(module, '__file__', '')) def get_resource_filename(self, manager, resource_name): return self._fn(self.module_path, resource_name) def get_resource_stream(self, manager, resource_name): return io.BytesIO(self.get_resource_string(manager, resource_name)) def get_resource_string(self, manager, resource_name): return self._get(self._fn(self.module_path, resource_name)) def has_resource(self, resource_name): return self._has(self._fn(self.module_path, resource_name)) def has_metadata(self, name): return self.egg_info and self._has(self._fn(self.egg_info, name)) if sys.version_info <= (3,): def get_metadata(self, name): if not self.egg_info: return "" return self._get(self._fn(self.egg_info, name)) else: def get_metadata(self, name): if not self.egg_info: return "" return self._get(self._fn(self.egg_info, name)).decode("utf-8") def get_metadata_lines(self, name): return yield_lines(self.get_metadata(name)) def resource_isdir(self, resource_name): return self._isdir(self._fn(self.module_path, resource_name)) def metadata_isdir(self, name): return self.egg_info and self._isdir(self._fn(self.egg_info, name)) def resource_listdir(self, resource_name): return self._listdir(self._fn(self.module_path, resource_name)) def metadata_listdir(self, name): if self.egg_info: return self._listdir(self._fn(self.egg_info, name)) return [] def run_script(self, script_name, namespace): script = 'scripts/'+script_name if not self.has_metadata(script): raise ResolutionError("No script named %r" % script_name) script_text = self.get_metadata(script).replace('\r\n', '\n') script_text = script_text.replace('\r', '\n') script_filename = self._fn(self.egg_info, script) namespace['__file__'] = script_filename if os.path.exists(script_filename): source = open(script_filename).read() code = compile(source, script_filename, 'exec') exec(code, namespace, namespace) else: from linecache import cache cache[script_filename] = ( len(script_text), 0, script_text.split('\n'), script_filename ) script_code = compile(script_text, script_filename,'exec') exec(script_code, namespace, namespace) def _has(self, path): raise NotImplementedError( "Can't perform this operation for unregistered loader type" ) def _isdir(self, path): raise NotImplementedError( "Can't perform this operation for unregistered loader type" ) def _listdir(self, path): raise NotImplementedError( "Can't perform this operation for unregistered loader type" ) def _fn(self, base, resource_name): if resource_name: return os.path.join(base, *resource_name.split('/')) return base def _get(self, path): if hasattr(self.loader, 'get_data'): return self.loader.get_data(path) raise NotImplementedError( "Can't perform this operation for loaders without 'get_data()'" ) register_loader_type(object, NullProvider) class EggProvider(NullProvider): """Provider based on a virtual filesystem""" def __init__(self, module): NullProvider.__init__(self, module) self._setup_prefix() def _setup_prefix(self): # we assume here that our metadata may be nested inside a "basket" # of multiple eggs; that's why we use module_path instead of .archive path = self.module_path old = None while path!=old: if _is_unpacked_egg(path): self.egg_name = os.path.basename(path) self.egg_info = os.path.join(path, 'EGG-INFO') self.egg_root = path break old = path path, base = os.path.split(path) class DefaultProvider(EggProvider): """Provides access to package resources in the filesystem""" def _has(self, path): return os.path.exists(path) def _isdir(self, path): return os.path.isdir(path) def _listdir(self, path): return os.listdir(path) def get_resource_stream(self, manager, resource_name): return open(self._fn(self.module_path, resource_name), 'rb') def _get(self, path): with open(path, 'rb') as stream: return stream.read() register_loader_type(type(None), DefaultProvider) if importlib_machinery is not None: register_loader_type(importlib_machinery.SourceFileLoader, DefaultProvider) class EmptyProvider(NullProvider): """Provider that returns nothing for all requests""" _isdir = _has = lambda self, path: False _get = lambda self, path: '' _listdir = lambda self, path: [] module_path = None def __init__(self): pass empty_provider = EmptyProvider() class ZipManifests(dict): """ zip manifest builder """ @classmethod def build(cls, path): """ Build a dictionary similar to the zipimport directory caches, except instead of tuples, store ZipInfo objects. Use a platform-specific path separator (os.sep) for the path keys for compatibility with pypy on Windows. """ with ContextualZipFile(path) as zfile: items = ( ( name.replace('/', os.sep), zfile.getinfo(name), ) for name in zfile.namelist() ) return dict(items) load = build class MemoizedZipManifests(ZipManifests): """ Memoized zipfile manifests. """ manifest_mod = collections.namedtuple('manifest_mod', 'manifest mtime') def load(self, path): """ Load a manifest at path or return a suitable manifest already loaded. """ path = os.path.normpath(path) mtime = os.stat(path).st_mtime if path not in self or self[path].mtime != mtime: manifest = self.build(path) self[path] = self.manifest_mod(manifest, mtime) return self[path].manifest class ContextualZipFile(zipfile.ZipFile): """ Supplement ZipFile class to support context manager for Python 2.6 """ def __enter__(self): return self def __exit__(self, type, value, traceback): self.close() def __new__(cls, *args, **kwargs): """ Construct a ZipFile or ContextualZipFile as appropriate """ if hasattr(zipfile.ZipFile, '__exit__'): return zipfile.ZipFile(*args, **kwargs) return super(ContextualZipFile, cls).__new__(cls) class ZipProvider(EggProvider): """Resource support for zips and eggs""" eagers = None _zip_manifests = MemoizedZipManifests() def __init__(self, module): EggProvider.__init__(self, module) self.zip_pre = self.loader.archive+os.sep def _zipinfo_name(self, fspath): # Convert a virtual filename (full path to file) into a zipfile subpath # usable with the zipimport directory cache for our target archive if fspath.startswith(self.zip_pre): return fspath[len(self.zip_pre):] raise AssertionError( "%s is not a subpath of %s" % (fspath, self.zip_pre) ) def _parts(self, zip_path): # Convert a zipfile subpath into an egg-relative path part list. # pseudo-fs path fspath = self.zip_pre+zip_path if fspath.startswith(self.egg_root+os.sep): return fspath[len(self.egg_root)+1:].split(os.sep) raise AssertionError( "%s is not a subpath of %s" % (fspath, self.egg_root) ) @property def zipinfo(self): return self._zip_manifests.load(self.loader.archive) def get_resource_filename(self, manager, resource_name): if not self.egg_name: raise NotImplementedError( "resource_filename() only supported for .egg, not .zip" ) # no need to lock for extraction, since we use temp names zip_path = self._resource_to_zip(resource_name) eagers = self._get_eager_resources() if '/'.join(self._parts(zip_path)) in eagers: for name in eagers: self._extract_resource(manager, self._eager_to_zip(name)) return self._extract_resource(manager, zip_path) @staticmethod def _get_date_and_size(zip_stat): size = zip_stat.file_size # ymdhms+wday, yday, dst date_time = zip_stat.date_time + (0, 0, -1) # 1980 offset already done timestamp = time.mktime(date_time) return timestamp, size def _extract_resource(self, manager, zip_path): if zip_path in self._index(): for name in self._index()[zip_path]: last = self._extract_resource( manager, os.path.join(zip_path, name) ) # return the extracted directory name return os.path.dirname(last) timestamp, size = self._get_date_and_size(self.zipinfo[zip_path]) if not WRITE_SUPPORT: raise IOError('"os.rename" and "os.unlink" are not supported ' 'on this platform') try: real_path = manager.get_cache_path( self.egg_name, self._parts(zip_path) ) if self._is_current(real_path, zip_path): return real_path outf, tmpnam = _mkstemp(".$extract", dir=os.path.dirname(real_path)) os.write(outf, self.loader.get_data(zip_path)) os.close(outf) utime(tmpnam, (timestamp, timestamp)) manager.postprocess(tmpnam, real_path) try: rename(tmpnam, real_path) except os.error: if os.path.isfile(real_path): if self._is_current(real_path, zip_path): # the file became current since it was checked above, # so proceed. return real_path # Windows, del old file and retry elif os.name=='nt': unlink(real_path) rename(tmpnam, real_path) return real_path raise except os.error: # report a user-friendly error manager.extraction_error() return real_path def _is_current(self, file_path, zip_path): """ Return True if the file_path is current for this zip_path """ timestamp, size = self._get_date_and_size(self.zipinfo[zip_path]) if not os.path.isfile(file_path): return False stat = os.stat(file_path) if stat.st_size!=size or stat.st_mtime!=timestamp: return False # check that the contents match zip_contents = self.loader.get_data(zip_path) with open(file_path, 'rb') as f: file_contents = f.read() return zip_contents == file_contents def _get_eager_resources(self): if self.eagers is None: eagers = [] for name in ('native_libs.txt', 'eager_resources.txt'): if self.has_metadata(name): eagers.extend(self.get_metadata_lines(name)) self.eagers = eagers return self.eagers def _index(self): try: return self._dirindex except AttributeError: ind = {} for path in self.zipinfo: parts = path.split(os.sep) while parts: parent = os.sep.join(parts[:-1]) if parent in ind: ind[parent].append(parts[-1]) break else: ind[parent] = [parts.pop()] self._dirindex = ind return ind def _has(self, fspath): zip_path = self._zipinfo_name(fspath) return zip_path in self.zipinfo or zip_path in self._index() def _isdir(self, fspath): return self._zipinfo_name(fspath) in self._index() def _listdir(self, fspath): return list(self._index().get(self._zipinfo_name(fspath), ())) def _eager_to_zip(self, resource_name): return self._zipinfo_name(self._fn(self.egg_root, resource_name)) def _resource_to_zip(self, resource_name): return self._zipinfo_name(self._fn(self.module_path, resource_name)) register_loader_type(zipimport.zipimporter, ZipProvider) class FileMetadata(EmptyProvider): """Metadata handler for standalone PKG-INFO files Usage:: metadata = FileMetadata("/path/to/PKG-INFO") This provider rejects all data and metadata requests except for PKG-INFO, which is treated as existing, and will be the contents of the file at the provided location. """ def __init__(self, path): self.path = path def has_metadata(self, name): return name=='PKG-INFO' def get_metadata(self, name): if name=='PKG-INFO': with open(self.path,'rU') as f: metadata = f.read() return metadata raise KeyError("No metadata except PKG-INFO is available") def get_metadata_lines(self, name): return yield_lines(self.get_metadata(name)) class PathMetadata(DefaultProvider): """Metadata provider for egg directories Usage:: # Development eggs: egg_info = "/path/to/PackageName.egg-info" base_dir = os.path.dirname(egg_info) metadata = PathMetadata(base_dir, egg_info) dist_name = os.path.splitext(os.path.basename(egg_info))[0] dist = Distribution(basedir, project_name=dist_name, metadata=metadata) # Unpacked egg directories: egg_path = "/path/to/PackageName-ver-pyver-etc.egg" metadata = PathMetadata(egg_path, os.path.join(egg_path,'EGG-INFO')) dist = Distribution.from_filename(egg_path, metadata=metadata) """ def __init__(self, path, egg_info): self.module_path = path self.egg_info = egg_info class EggMetadata(ZipProvider): """Metadata provider for .egg files""" def __init__(self, importer): """Create a metadata provider from a zipimporter""" self.zip_pre = importer.archive+os.sep self.loader = importer if importer.prefix: self.module_path = os.path.join(importer.archive, importer.prefix) else: self.module_path = importer.archive self._setup_prefix() _declare_state('dict', _distribution_finders = {}) def register_finder(importer_type, distribution_finder): """Register `distribution_finder` to find distributions in sys.path items `importer_type` is the type or class of a PEP 302 "Importer" (sys.path item handler), and `distribution_finder` is a callable that, passed a path item and the importer instance, yields ``Distribution`` instances found on that path item. See ``pkg_resources.find_on_path`` for an example.""" _distribution_finders[importer_type] = distribution_finder def find_distributions(path_item, only=False): """Yield distributions accessible via `path_item`""" importer = get_importer(path_item) finder = _find_adapter(_distribution_finders, importer) return finder(importer, path_item, only) def find_eggs_in_zip(importer, path_item, only=False): """ Find eggs in zip files; possibly multiple nested eggs. """ if importer.archive.endswith('.whl'): # wheels are not supported with this finder # they don't have PKG-INFO metadata, and won't ever contain eggs return metadata = EggMetadata(importer) if metadata.has_metadata('PKG-INFO'): yield Distribution.from_filename(path_item, metadata=metadata) if only: # don't yield nested distros return for subitem in metadata.resource_listdir('/'): if _is_unpacked_egg(subitem): subpath = os.path.join(path_item, subitem) for dist in find_eggs_in_zip(zipimport.zipimporter(subpath), subpath): yield dist register_finder(zipimport.zipimporter, find_eggs_in_zip) def find_nothing(importer, path_item, only=False): return () register_finder(object, find_nothing) def find_on_path(importer, path_item, only=False): """Yield distributions accessible on a sys.path directory""" path_item = _normalize_cached(path_item) if os.path.isdir(path_item) and os.access(path_item, os.R_OK): if _is_unpacked_egg(path_item): yield Distribution.from_filename( path_item, metadata=PathMetadata( path_item, os.path.join(path_item,'EGG-INFO') ) ) else: # scan for .egg and .egg-info in directory for entry in os.listdir(path_item): lower = entry.lower() if lower.endswith('.egg-info') or lower.endswith('.dist-info'): fullpath = os.path.join(path_item, entry) if os.path.isdir(fullpath): # egg-info directory, allow getting metadata metadata = PathMetadata(path_item, fullpath) else: metadata = FileMetadata(fullpath) yield Distribution.from_location( path_item, entry, metadata, precedence=DEVELOP_DIST ) elif not only and _is_unpacked_egg(entry): dists = find_distributions(os.path.join(path_item, entry)) for dist in dists: yield dist elif not only and lower.endswith('.egg-link'): with open(os.path.join(path_item, entry)) as entry_file: entry_lines = entry_file.readlines() for line in entry_lines: if not line.strip(): continue path = os.path.join(path_item, line.rstrip()) dists = find_distributions(path) for item in dists: yield item break register_finder(pkgutil.ImpImporter, find_on_path) if importlib_machinery is not None: register_finder(importlib_machinery.FileFinder, find_on_path) _declare_state('dict', _namespace_handlers={}) _declare_state('dict', _namespace_packages={}) def register_namespace_handler(importer_type, namespace_handler): """Register `namespace_handler` to declare namespace packages `importer_type` is the type or class of a PEP 302 "Importer" (sys.path item handler), and `namespace_handler` is a callable like this:: def namespace_handler(importer, path_entry, moduleName, module): # return a path_entry to use for child packages Namespace handlers are only called if the importer object has already agreed that it can handle the relevant path item, and they should only return a subpath if the module __path__ does not already contain an equivalent subpath. For an example namespace handler, see ``pkg_resources.file_ns_handler``. """ _namespace_handlers[importer_type] = namespace_handler def _handle_ns(packageName, path_item): """Ensure that named package includes a subpath of path_item (if needed)""" importer = get_importer(path_item) if importer is None: return None loader = importer.find_module(packageName) if loader is None: return None module = sys.modules.get(packageName) if module is None: module = sys.modules[packageName] = types.ModuleType(packageName) module.__path__ = [] _set_parent_ns(packageName) elif not hasattr(module,'__path__'): raise TypeError("Not a package:", packageName) handler = _find_adapter(_namespace_handlers, importer) subpath = handler(importer, path_item, packageName, module) if subpath is not None: path = module.__path__ path.append(subpath) loader.load_module(packageName) for path_item in path: if path_item not in module.__path__: module.__path__.append(path_item) return subpath def declare_namespace(packageName): """Declare that package 'packageName' is a namespace package""" _imp.acquire_lock() try: if packageName in _namespace_packages: return path, parent = sys.path, None if '.' in packageName: parent = '.'.join(packageName.split('.')[:-1]) declare_namespace(parent) if parent not in _namespace_packages: __import__(parent) try: path = sys.modules[parent].__path__ except AttributeError: raise TypeError("Not a package:", parent) # Track what packages are namespaces, so when new path items are added, # they can be updated _namespace_packages.setdefault(parent,[]).append(packageName) _namespace_packages.setdefault(packageName,[]) for path_item in path: # Ensure all the parent's path items are reflected in the child, # if they apply _handle_ns(packageName, path_item) finally: _imp.release_lock() def fixup_namespace_packages(path_item, parent=None): """Ensure that previously-declared namespace packages include path_item""" _imp.acquire_lock() try: for package in _namespace_packages.get(parent,()): subpath = _handle_ns(package, path_item) if subpath: fixup_namespace_packages(subpath, package) finally: _imp.release_lock() def file_ns_handler(importer, path_item, packageName, module): """Compute an ns-package subpath for a filesystem or zipfile importer""" subpath = os.path.join(path_item, packageName.split('.')[-1]) normalized = _normalize_cached(subpath) for item in module.__path__: if _normalize_cached(item)==normalized: break else: # Only return the path if it's not already there return subpath register_namespace_handler(pkgutil.ImpImporter, file_ns_handler) register_namespace_handler(zipimport.zipimporter, file_ns_handler) if importlib_machinery is not None: register_namespace_handler(importlib_machinery.FileFinder, file_ns_handler) def null_ns_handler(importer, path_item, packageName, module): return None register_namespace_handler(object, null_ns_handler) def normalize_path(filename): """Normalize a file/dir name for comparison purposes""" return os.path.normcase(os.path.realpath(filename)) def _normalize_cached(filename, _cache={}): try: return _cache[filename] except KeyError: _cache[filename] = result = normalize_path(filename) return result def _is_unpacked_egg(path): """ Determine if given path appears to be an unpacked egg. """ return ( path.lower().endswith('.egg') ) def _set_parent_ns(packageName): parts = packageName.split('.') name = parts.pop() if parts: parent = '.'.join(parts) setattr(sys.modules[parent], name, sys.modules[packageName]) def yield_lines(strs): """Yield non-empty/non-comment lines of a string or sequence""" if isinstance(strs, string_types): for s in strs.splitlines(): s = s.strip() # skip blank lines/comments if s and not s.startswith('#'): yield s else: for ss in strs: for s in yield_lines(ss): yield s # whitespace and comment LINE_END = re.compile(r"\s*(#.*)?$").match # line continuation CONTINUE = re.compile(r"\s*\\\s*(#.*)?$").match # Distribution or extra DISTRO = re.compile(r"\s*((\w|[-.])+)").match # ver. info VERSION = re.compile(r"\s*(<=?|>=?|===?|!=|~=)\s*((\w|[-.*_!+])+)").match # comma between items COMMA = re.compile(r"\s*,").match OBRACKET = re.compile(r"\s*\[").match CBRACKET = re.compile(r"\s*\]").match MODULE = re.compile(r"\w+(\.\w+)*$").match EGG_NAME = re.compile( r""" (?P<name>[^-]+) ( -(?P<ver>[^-]+) ( -py(?P<pyver>[^-]+) ( -(?P<plat>.+) )? )? )? """, re.VERBOSE | re.IGNORECASE, ).match class EntryPoint(object): """Object representing an advertised importable object""" def __init__(self, name, module_name, attrs=(), extras=(), dist=None): if not MODULE(module_name): raise ValueError("Invalid module name", module_name) self.name = name self.module_name = module_name self.attrs = tuple(attrs) self.extras = Requirement.parse(("x[%s]" % ','.join(extras))).extras self.dist = dist def __str__(self): s = "%s = %s" % (self.name, self.module_name) if self.attrs: s += ':' + '.'.join(self.attrs) if self.extras: s += ' [%s]' % ','.join(self.extras) return s def __repr__(self): return "EntryPoint.parse(%r)" % str(self) def load(self, require=True, *args, **kwargs): """ Require packages for this EntryPoint, then resolve it. """ if not require or args or kwargs: warnings.warn( "Parameters to load are deprecated. Call .resolve and " ".require separately.", DeprecationWarning, stacklevel=2, ) if require: self.require(*args, **kwargs) return self.resolve() def resolve(self): """ Resolve the entry point from its module and attrs. """ module = __import__(self.module_name, fromlist=['__name__'], level=0) try: return functools.reduce(getattr, self.attrs, module) except AttributeError as exc: raise ImportError(str(exc)) def require(self, env=None, installer=None): if self.extras and not self.dist: raise UnknownExtra("Can't require() without a distribution", self) reqs = self.dist.requires(self.extras) items = working_set.resolve(reqs, env, installer) list(map(working_set.add, items)) pattern = re.compile( r'\s*' r'(?P<name>.+?)\s*' r'=\s*' r'(?P<module>[\w.]+)\s*' r'(:\s*(?P<attr>[\w.]+))?\s*' r'(?P<extras>\[.*\])?\s*$' ) @classmethod def parse(cls, src, dist=None): """Parse a single entry point from string `src` Entry point syntax follows the form:: name = some.module:some.attr [extra1, extra2] The entry name and module name are required, but the ``:attrs`` and ``[extras]`` parts are optional """ m = cls.pattern.match(src) if not m: msg = "EntryPoint must be in 'name=module:attrs [extras]' format" raise ValueError(msg, src) res = m.groupdict() extras = cls._parse_extras(res['extras']) attrs = res['attr'].split('.') if res['attr'] else () return cls(res['name'], res['module'], attrs, extras, dist) @classmethod def _parse_extras(cls, extras_spec): if not extras_spec: return () req = Requirement.parse('x' + extras_spec) if req.specs: raise ValueError() return req.extras @classmethod def parse_group(cls, group, lines, dist=None): """Parse an entry point group""" if not MODULE(group): raise ValueError("Invalid group name", group) this = {} for line in yield_lines(lines): ep = cls.parse(line, dist) if ep.name in this: raise ValueError("Duplicate entry point", group, ep.name) this[ep.name]=ep return this @classmethod def parse_map(cls, data, dist=None): """Parse a map of entry point groups""" if isinstance(data, dict): data = data.items() else: data = split_sections(data) maps = {} for group, lines in data: if group is None: if not lines: continue raise ValueError("Entry points must be listed in groups") group = group.strip() if group in maps: raise ValueError("Duplicate group name", group) maps[group] = cls.parse_group(group, lines, dist) return maps def _remove_md5_fragment(location): if not location: return '' parsed = urlparse(location) if parsed[-1].startswith('md5='): return urlunparse(parsed[:-1] + ('',)) return location class Distribution(object): """Wrap an actual or potential sys.path entry w/metadata""" PKG_INFO = 'PKG-INFO' def __init__(self, location=None, metadata=None, project_name=None, version=None, py_version=PY_MAJOR, platform=None, precedence=EGG_DIST): self.project_name = safe_name(project_name or 'Unknown') if version is not None: self._version = safe_version(version) self.py_version = py_version self.platform = platform self.location = location self.precedence = precedence self._provider = metadata or empty_provider @classmethod def from_location(cls, location, basename, metadata=None,**kw): project_name, version, py_version, platform = [None]*4 basename, ext = os.path.splitext(basename) if ext.lower() in _distributionImpl: # .dist-info gets much metadata differently match = EGG_NAME(basename) if match: project_name, version, py_version, platform = match.group( 'name','ver','pyver','plat' ) cls = _distributionImpl[ext.lower()] return cls( location, metadata, project_name=project_name, version=version, py_version=py_version, platform=platform, **kw ) @property def hashcmp(self): return ( self.parsed_version, self.precedence, self.key, _remove_md5_fragment(self.location), self.py_version or '', self.platform or '', ) def __hash__(self): return hash(self.hashcmp) def __lt__(self, other): return self.hashcmp < other.hashcmp def __le__(self, other): return self.hashcmp <= other.hashcmp def __gt__(self, other): return self.hashcmp > other.hashcmp def __ge__(self, other): return self.hashcmp >= other.hashcmp def __eq__(self, other): if not isinstance(other, self.__class__): # It's not a Distribution, so they are not equal return False return self.hashcmp == other.hashcmp def __ne__(self, other): return not self == other # These properties have to be lazy so that we don't have to load any # metadata until/unless it's actually needed. (i.e., some distributions # may not know their name or version without loading PKG-INFO) @property def key(self): try: return self._key except AttributeError: self._key = key = self.project_name.lower() return key @property def parsed_version(self): if not hasattr(self, "_parsed_version"): self._parsed_version = parse_version(self.version) return self._parsed_version def _warn_legacy_version(self): LV = packaging.version.LegacyVersion is_legacy = isinstance(self._parsed_version, LV) if not is_legacy: return # While an empty version is technically a legacy version and # is not a valid PEP 440 version, it's also unlikely to # actually come from someone and instead it is more likely that # it comes from setuptools attempting to parse a filename and # including it in the list. So for that we'll gate this warning # on if the version is anything at all or not. if not self.version: return tmpl = textwrap.dedent(""" '{project_name} ({version})' is being parsed as a legacy, non PEP 440, version. You may find odd behavior and sort order. In particular it will be sorted as less than 0.0. It is recommended to migrate to PEP 440 compatible versions. """).strip().replace('\n', ' ') warnings.warn(tmpl.format(**vars(self)), PEP440Warning) @property def version(self): try: return self._version except AttributeError: for line in self._get_metadata(self.PKG_INFO): if line.lower().startswith('version:'): self._version = safe_version(line.split(':',1)[1].strip()) return self._version else: tmpl = "Missing 'Version:' header and/or %s file" raise ValueError(tmpl % self.PKG_INFO, self) @property def _dep_map(self): try: return self.__dep_map except AttributeError: dm = self.__dep_map = {None: []} for name in 'requires.txt', 'depends.txt': for extra, reqs in split_sections(self._get_metadata(name)): if extra: if ':' in extra: extra, marker = extra.split(':', 1) if invalid_marker(marker): # XXX warn reqs=[] elif not evaluate_marker(marker): reqs=[] extra = safe_extra(extra) or None dm.setdefault(extra,[]).extend(parse_requirements(reqs)) return dm def requires(self, extras=()): """List of Requirements needed for this distro if `extras` are used""" dm = self._dep_map deps = [] deps.extend(dm.get(None, ())) for ext in extras: try: deps.extend(dm[safe_extra(ext)]) except KeyError: raise UnknownExtra( "%s has no such extra feature %r" % (self, ext) ) return deps def _get_metadata(self, name): if self.has_metadata(name): for line in self.get_metadata_lines(name): yield line def activate(self, path=None): """Ensure distribution is importable on `path` (default=sys.path)""" if path is None: path = sys.path self.insert_on(path) if path is sys.path: fixup_namespace_packages(self.location) for pkg in self._get_metadata('namespace_packages.txt'): if pkg in sys.modules: declare_namespace(pkg) def egg_name(self): """Return what this distribution's standard .egg filename should be""" filename = "%s-%s-py%s" % ( to_filename(self.project_name), to_filename(self.version), self.py_version or PY_MAJOR ) if self.platform: filename += '-' + self.platform return filename def __repr__(self): if self.location: return "%s (%s)" % (self, self.location) else: return str(self) def __str__(self): try: version = getattr(self, 'version', None) except ValueError: version = None version = version or "[unknown version]" return "%s %s" % (self.project_name, version) def __getattr__(self, attr): """Delegate all unrecognized public attributes to .metadata provider""" if attr.startswith('_'): raise AttributeError(attr) return getattr(self._provider, attr) @classmethod def from_filename(cls, filename, metadata=None, **kw): return cls.from_location( _normalize_cached(filename), os.path.basename(filename), metadata, **kw ) def as_requirement(self): """Return a ``Requirement`` that matches this distribution exactly""" if isinstance(self.parsed_version, packaging.version.Version): spec = "%s==%s" % (self.project_name, self.parsed_version) else: spec = "%s===%s" % (self.project_name, self.parsed_version) return Requirement.parse(spec) def load_entry_point(self, group, name): """Return the `name` entry point of `group` or raise ImportError""" ep = self.get_entry_info(group, name) if ep is None: raise ImportError("Entry point %r not found" % ((group, name),)) return ep.load() def get_entry_map(self, group=None): """Return the entry point map for `group`, or the full entry map""" try: ep_map = self._ep_map except AttributeError: ep_map = self._ep_map = EntryPoint.parse_map( self._get_metadata('entry_points.txt'), self ) if group is not None: return ep_map.get(group,{}) return ep_map def get_entry_info(self, group, name): """Return the EntryPoint object for `group`+`name`, or ``None``""" return self.get_entry_map(group).get(name) def insert_on(self, path, loc = None): """Insert self.location in path before its nearest parent directory""" loc = loc or self.location if not loc: return nloc = _normalize_cached(loc) bdir = os.path.dirname(nloc) npath= [(p and _normalize_cached(p) or p) for p in path] for p, item in enumerate(npath): if item == nloc: break elif item == bdir and self.precedence == EGG_DIST: # if it's an .egg, give it precedence over its directory if path is sys.path: self.check_version_conflict() path.insert(p, loc) npath.insert(p, nloc) break else: if path is sys.path: self.check_version_conflict() path.append(loc) return # p is the spot where we found or inserted loc; now remove duplicates while True: try: np = npath.index(nloc, p+1) except ValueError: break else: del npath[np], path[np] # ha! p = np return def check_version_conflict(self): if self.key == 'setuptools': # ignore the inevitable setuptools self-conflicts :( return nsp = dict.fromkeys(self._get_metadata('namespace_packages.txt')) loc = normalize_path(self.location) for modname in self._get_metadata('top_level.txt'): if (modname not in sys.modules or modname in nsp or modname in _namespace_packages): continue if modname in ('pkg_resources', 'setuptools', 'site'): continue fn = getattr(sys.modules[modname], '__file__', None) if fn and (normalize_path(fn).startswith(loc) or fn.startswith(self.location)): continue issue_warning( "Module %s was already imported from %s, but %s is being added" " to sys.path" % (modname, fn, self.location), ) def has_version(self): try: self.version except ValueError: issue_warning("Unbuilt egg for " + repr(self)) return False return True def clone(self,**kw): """Copy this distribution, substituting in any changed keyword args""" names = 'project_name version py_version platform location precedence' for attr in names.split(): kw.setdefault(attr, getattr(self, attr, None)) kw.setdefault('metadata', self._provider) return self.__class__(**kw) @property def extras(self): return [dep for dep in self._dep_map if dep] class DistInfoDistribution(Distribution): """Wrap an actual or potential sys.path entry w/metadata, .dist-info style""" PKG_INFO = 'METADATA' EQEQ = re.compile(r"([\(,])\s*(\d.*?)\s*([,\)])") @property def _parsed_pkg_info(self): """Parse and cache metadata""" try: return self._pkg_info except AttributeError: metadata = self.get_metadata(self.PKG_INFO) self._pkg_info = email.parser.Parser().parsestr(metadata) return self._pkg_info @property def _dep_map(self): try: return self.__dep_map except AttributeError: self.__dep_map = self._compute_dependencies() return self.__dep_map def _preparse_requirement(self, requires_dist): """Convert 'Foobar (1); baz' to ('Foobar ==1', 'baz') Split environment marker, add == prefix to version specifiers as necessary, and remove parenthesis. """ parts = requires_dist.split(';', 1) + [''] distvers = parts[0].strip() mark = parts[1].strip() distvers = re.sub(self.EQEQ, r"\1==\2\3", distvers) distvers = distvers.replace('(', '').replace(')', '') return (distvers, mark) def _compute_dependencies(self): """Recompute this distribution's dependencies.""" from _markerlib import compile as compile_marker dm = self.__dep_map = {None: []} reqs = [] # Including any condition expressions for req in self._parsed_pkg_info.get_all('Requires-Dist') or []: distvers, mark = self._preparse_requirement(req) parsed = next(parse_requirements(distvers)) parsed.marker_fn = compile_marker(mark) reqs.append(parsed) def reqs_for_extra(extra): for req in reqs: if req.marker_fn(override={'extra':extra}): yield req common = frozenset(reqs_for_extra(None)) dm[None].extend(common) for extra in self._parsed_pkg_info.get_all('Provides-Extra') or []: extra = safe_extra(extra.strip()) dm[extra] = list(frozenset(reqs_for_extra(extra)) - common) return dm _distributionImpl = { '.egg': Distribution, '.egg-info': Distribution, '.dist-info': DistInfoDistribution, } def issue_warning(*args,**kw): level = 1 g = globals() try: # find the first stack frame that is *not* code in # the pkg_resources module, to use for the warning while sys._getframe(level).f_globals is g: level += 1 except ValueError: pass warnings.warn(stacklevel=level + 1, *args, **kw) class RequirementParseError(ValueError): def __str__(self): return ' '.join(self.args) def parse_requirements(strs): """Yield ``Requirement`` objects for each specification in `strs` `strs` must be a string, or a (possibly-nested) iterable thereof. """ # create a steppable iterator, so we can handle \-continuations lines = iter(yield_lines(strs)) def scan_list(ITEM, TERMINATOR, line, p, groups, item_name): items = [] while not TERMINATOR(line, p): if CONTINUE(line, p): try: line = next(lines) p = 0 except StopIteration: msg = "\\ must not appear on the last nonblank line" raise RequirementParseError(msg) match = ITEM(line, p) if not match: msg = "Expected " + item_name + " in" raise RequirementParseError(msg, line, "at", line[p:]) items.append(match.group(*groups)) p = match.end() match = COMMA(line, p) if match: # skip the comma p = match.end() elif not TERMINATOR(line, p): msg = "Expected ',' or end-of-list in" raise RequirementParseError(msg, line, "at", line[p:]) match = TERMINATOR(line, p) # skip the terminator, if any if match: p = match.end() return line, p, items for line in lines: match = DISTRO(line) if not match: raise RequirementParseError("Missing distribution spec", line) project_name = match.group(1) p = match.end() extras = [] match = OBRACKET(line, p) if match: p = match.end() line, p, extras = scan_list( DISTRO, CBRACKET, line, p, (1,), "'extra' name" ) line, p, specs = scan_list(VERSION, LINE_END, line, p, (1, 2), "version spec") specs = [(op, val) for op, val in specs] yield Requirement(project_name, specs, extras) class Requirement: def __init__(self, project_name, specs, extras): """DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()!""" self.unsafe_name, project_name = project_name, safe_name(project_name) self.project_name, self.key = project_name, project_name.lower() self.specifier = packaging.specifiers.SpecifierSet( ",".join(["".join([x, y]) for x, y in specs]) ) self.specs = specs self.extras = tuple(map(safe_extra, extras)) self.hashCmp = ( self.key, self.specifier, frozenset(self.extras), ) self.__hash = hash(self.hashCmp) def __str__(self): extras = ','.join(self.extras) if extras: extras = '[%s]' % extras return '%s%s%s' % (self.project_name, extras, self.specifier) def __eq__(self, other): return ( isinstance(other, Requirement) and self.hashCmp == other.hashCmp ) def __ne__(self, other): return not self == other def __contains__(self, item): if isinstance(item, Distribution): if item.key != self.key: return False item = item.version # Allow prereleases always in order to match the previous behavior of # this method. In the future this should be smarter and follow PEP 440 # more accurately. return self.specifier.contains(item, prereleases=True) def __hash__(self): return self.__hash def __repr__(self): return "Requirement.parse(%r)" % str(self) @staticmethod def parse(s): req, = parse_requirements(s) return req def _get_mro(cls): """Get an mro for a type or classic class""" if not isinstance(cls, type): class cls(cls, object): pass return cls.__mro__[1:] return cls.__mro__ def _find_adapter(registry, ob): """Return an adapter factory for `ob` from `registry`""" for t in _get_mro(getattr(ob, '__class__', type(ob))): if t in registry: return registry[t] def ensure_directory(path): """Ensure that the parent directory of `path` exists""" dirname = os.path.dirname(path) if not os.path.isdir(dirname): os.makedirs(dirname) def _bypass_ensure_directory(path): """Sandbox-bypassing version of ensure_directory()""" if not WRITE_SUPPORT: raise IOError('"os.mkdir" not supported on this platform.') dirname, filename = split(path) if dirname and filename and not isdir(dirname): _bypass_ensure_directory(dirname) mkdir(dirname, 0o755) def split_sections(s): """Split a string or iterable thereof into (section, content) pairs Each ``section`` is a stripped version of the section header ("[section]") and each ``content`` is a list of stripped lines excluding blank lines and comment-only lines. If there are any such lines before the first section header, they're returned in a first ``section`` of ``None``. """ section = None content = [] for line in yield_lines(s): if line.startswith("["): if line.endswith("]"): if section or content: yield section, content section = line[1:-1].strip() content = [] else: raise ValueError("Invalid section heading", line) else: content.append(line) # wrap up last segment yield section, content def _mkstemp(*args,**kw): old_open = os.open try: # temporarily bypass sandboxing os.open = os_open return tempfile.mkstemp(*args,**kw) finally: # and then put it back os.open = old_open # Silence the PEP440Warning by default, so that end users don't get hit by it # randomly just because they use pkg_resources. We want to append the rule # because we want earlier uses of filterwarnings to take precedence over this # one. warnings.filterwarnings("ignore", category=PEP440Warning, append=True) # from jaraco.functools 1.3 def _call_aside(f, *args, **kwargs): f(*args, **kwargs) return f @_call_aside def _initialize(g=globals()): "Set up global resource manager (deliberately not state-saved)" manager = ResourceManager() g['_manager'] = manager for name in dir(manager): if not name.startswith('_'): g[name] = getattr(manager, name) @_call_aside def _initialize_master_working_set(): """ Prepare the master working set and make the ``require()`` API available. This function has explicit effects on the global state of pkg_resources. It is intended to be invoked once at the initialization of this module. Invocation by other packages is unsupported and done at their own risk. """ working_set = WorkingSet._build_master() _declare_state('object', working_set=working_set) require = working_set.require iter_entry_points = working_set.iter_entry_points add_activation_listener = working_set.subscribe run_script = working_set.run_script # backward compatibility run_main = run_script # Activate all distributions already on sys.path, and ensure that # all distributions added to the working set in the future (e.g. by # calling ``require()``) will get activated as well. add_activation_listener(lambda dist: dist.activate()) working_set.entries=[] # match order list(map(working_set.add_entry, sys.path)) globals().update(locals())

gpl-2.0

donald-pinckney/EM-Simulator

EM Sim/EM Sim/py_lib/formatter.py

252

14911

"""Generic output formatting. Formatter objects transform an abstract flow of formatting events into specific output events on writer objects. Formatters manage several stack structures to allow various properties of a writer object to be changed and restored; writers need not be able to handle relative changes nor any sort of ``change back'' operation. Specific writer properties which may be controlled via formatter objects are horizontal alignment, font, and left margin indentations. A mechanism is provided which supports providing arbitrary, non-exclusive style settings to a writer as well. Additional interfaces facilitate formatting events which are not reversible, such as paragraph separation. Writer objects encapsulate device interfaces. Abstract devices, such as file formats, are supported as well as physical devices. The provided implementations all work with abstract devices. The interface makes available mechanisms for setting the properties which formatter objects manage and inserting data into the output. """ import sys AS_IS = None class NullFormatter: """A formatter which does nothing. If the writer parameter is omitted, a NullWriter instance is created. No methods of the writer are called by NullFormatter instances. Implementations should inherit from this class if implementing a writer interface but don't need to inherit any implementation. """ def __init__(self, writer=None): if writer is None: writer = NullWriter() self.writer = writer def end_paragraph(self, blankline): pass def add_line_break(self): pass def add_hor_rule(self, *args, **kw): pass def add_label_data(self, format, counter, blankline=None): pass def add_flowing_data(self, data): pass def add_literal_data(self, data): pass def flush_softspace(self): pass def push_alignment(self, align): pass def pop_alignment(self): pass def push_font(self, x): pass def pop_font(self): pass def push_margin(self, margin): pass def pop_margin(self): pass def set_spacing(self, spacing): pass def push_style(self, *styles): pass def pop_style(self, n=1): pass def assert_line_data(self, flag=1): pass class AbstractFormatter: """The standard formatter. This implementation has demonstrated wide applicability to many writers, and may be used directly in most circumstances. It has been used to implement a full-featured World Wide Web browser. """ # Space handling policy: blank spaces at the boundary between elements # are handled by the outermost context. "Literal" data is not checked # to determine context, so spaces in literal data are handled directly # in all circumstances. def __init__(self, writer): self.writer = writer # Output device self.align = None # Current alignment self.align_stack = [] # Alignment stack self.font_stack = [] # Font state self.margin_stack = [] # Margin state self.spacing = None # Vertical spacing state self.style_stack = [] # Other state, e.g. color self.nospace = 1 # Should leading space be suppressed self.softspace = 0 # Should a space be inserted self.para_end = 1 # Just ended a paragraph self.parskip = 0 # Skipped space between paragraphs? self.hard_break = 1 # Have a hard break self.have_label = 0 def end_paragraph(self, blankline): if not self.hard_break: self.writer.send_line_break() self.have_label = 0 if self.parskip < blankline and not self.have_label: self.writer.send_paragraph(blankline - self.parskip) self.parskip = blankline self.have_label = 0 self.hard_break = self.nospace = self.para_end = 1 self.softspace = 0 def add_line_break(self): if not (self.hard_break or self.para_end): self.writer.send_line_break() self.have_label = self.parskip = 0 self.hard_break = self.nospace = 1 self.softspace = 0 def add_hor_rule(self, *args, **kw): if not self.hard_break: self.writer.send_line_break() self.writer.send_hor_rule(*args, **kw) self.hard_break = self.nospace = 1 self.have_label = self.para_end = self.softspace = self.parskip = 0 def add_label_data(self, format, counter, blankline = None): if self.have_label or not self.hard_break: self.writer.send_line_break() if not self.para_end: self.writer.send_paragraph((blankline and 1) or 0) if isinstance(format, str): self.writer.send_label_data(self.format_counter(format, counter)) else: self.writer.send_label_data(format) self.nospace = self.have_label = self.hard_break = self.para_end = 1 self.softspace = self.parskip = 0 def format_counter(self, format, counter): label = '' for c in format: if c == '1': label = label + ('%d' % counter) elif c in 'aA': if counter > 0: label = label + self.format_letter(c, counter) elif c in 'iI': if counter > 0: label = label + self.format_roman(c, counter) else: label = label + c return label def format_letter(self, case, counter): label = '' while counter > 0: counter, x = divmod(counter-1, 26) # This makes a strong assumption that lowercase letters # and uppercase letters form two contiguous blocks, with # letters in order! s = chr(ord(case) + x) label = s + label return label def format_roman(self, case, counter): ones = ['i', 'x', 'c', 'm'] fives = ['v', 'l', 'd'] label, index = '', 0 # This will die of IndexError when counter is too big while counter > 0: counter, x = divmod(counter, 10) if x == 9: label = ones[index] + ones[index+1] + label elif x == 4: label = ones[index] + fives[index] + label else: if x >= 5: s = fives[index] x = x-5 else: s = '' s = s + ones[index]*x label = s + label index = index + 1 if case == 'I': return label.upper() return label def add_flowing_data(self, data): if not data: return prespace = data[:1].isspace() postspace = data[-1:].isspace() data = " ".join(data.split()) if self.nospace and not data: return elif prespace or self.softspace: if not data: if not self.nospace: self.softspace = 1 self.parskip = 0 return if not self.nospace: data = ' ' + data self.hard_break = self.nospace = self.para_end = \ self.parskip = self.have_label = 0 self.softspace = postspace self.writer.send_flowing_data(data) def add_literal_data(self, data): if not data: return if self.softspace: self.writer.send_flowing_data(" ") self.hard_break = data[-1:] == '\n' self.nospace = self.para_end = self.softspace = \ self.parskip = self.have_label = 0 self.writer.send_literal_data(data) def flush_softspace(self): if self.softspace: self.hard_break = self.para_end = self.parskip = \ self.have_label = self.softspace = 0 self.nospace = 1 self.writer.send_flowing_data(' ') def push_alignment(self, align): if align and align != self.align: self.writer.new_alignment(align) self.align = align self.align_stack.append(align) else: self.align_stack.append(self.align) def pop_alignment(self): if self.align_stack: del self.align_stack[-1] if self.align_stack: self.align = align = self.align_stack[-1] self.writer.new_alignment(align) else: self.align = None self.writer.new_alignment(None) def push_font(self, font): size, i, b, tt = font if self.softspace: self.hard_break = self.para_end = self.softspace = 0 self.nospace = 1 self.writer.send_flowing_data(' ') if self.font_stack: csize, ci, cb, ctt = self.font_stack[-1] if size is AS_IS: size = csize if i is AS_IS: i = ci if b is AS_IS: b = cb if tt is AS_IS: tt = ctt font = (size, i, b, tt) self.font_stack.append(font) self.writer.new_font(font) def pop_font(self): if self.font_stack: del self.font_stack[-1] if self.font_stack: font = self.font_stack[-1] else: font = None self.writer.new_font(font) def push_margin(self, margin): self.margin_stack.append(margin) fstack = filter(None, self.margin_stack) if not margin and fstack: margin = fstack[-1] self.writer.new_margin(margin, len(fstack)) def pop_margin(self): if self.margin_stack: del self.margin_stack[-1] fstack = filter(None, self.margin_stack) if fstack: margin = fstack[-1] else: margin = None self.writer.new_margin(margin, len(fstack)) def set_spacing(self, spacing): self.spacing = spacing self.writer.new_spacing(spacing) def push_style(self, *styles): if self.softspace: self.hard_break = self.para_end = self.softspace = 0 self.nospace = 1 self.writer.send_flowing_data(' ') for style in styles: self.style_stack.append(style) self.writer.new_styles(tuple(self.style_stack)) def pop_style(self, n=1): del self.style_stack[-n:] self.writer.new_styles(tuple(self.style_stack)) def assert_line_data(self, flag=1): self.nospace = self.hard_break = not flag self.para_end = self.parskip = self.have_label = 0 class NullWriter: """Minimal writer interface to use in testing & inheritance. A writer which only provides the interface definition; no actions are taken on any methods. This should be the base class for all writers which do not need to inherit any implementation methods. """ def __init__(self): pass def flush(self): pass def new_alignment(self, align): pass def new_font(self, font): pass def new_margin(self, margin, level): pass def new_spacing(self, spacing): pass def new_styles(self, styles): pass def send_paragraph(self, blankline): pass def send_line_break(self): pass def send_hor_rule(self, *args, **kw): pass def send_label_data(self, data): pass def send_flowing_data(self, data): pass def send_literal_data(self, data): pass class AbstractWriter(NullWriter): """A writer which can be used in debugging formatters, but not much else. Each method simply announces itself by printing its name and arguments on standard output. """ def new_alignment(self, align): print "new_alignment(%r)" % (align,) def new_font(self, font): print "new_font(%r)" % (font,) def new_margin(self, margin, level): print "new_margin(%r, %d)" % (margin, level) def new_spacing(self, spacing): print "new_spacing(%r)" % (spacing,) def new_styles(self, styles): print "new_styles(%r)" % (styles,) def send_paragraph(self, blankline): print "send_paragraph(%r)" % (blankline,) def send_line_break(self): print "send_line_break()" def send_hor_rule(self, *args, **kw): print "send_hor_rule()" def send_label_data(self, data): print "send_label_data(%r)" % (data,) def send_flowing_data(self, data): print "send_flowing_data(%r)" % (data,) def send_literal_data(self, data): print "send_literal_data(%r)" % (data,) class DumbWriter(NullWriter): """Simple writer class which writes output on the file object passed in as the file parameter or, if file is omitted, on standard output. The output is simply word-wrapped to the number of columns specified by the maxcol parameter. This class is suitable for reflowing a sequence of paragraphs. """ def __init__(self, file=None, maxcol=72): self.file = file or sys.stdout self.maxcol = maxcol NullWriter.__init__(self) self.reset() def reset(self): self.col = 0 self.atbreak = 0 def send_paragraph(self, blankline): self.file.write('\n'*blankline) self.col = 0 self.atbreak = 0 def send_line_break(self): self.file.write('\n') self.col = 0 self.atbreak = 0 def send_hor_rule(self, *args, **kw): self.file.write('\n') self.file.write('-'*self.maxcol) self.file.write('\n') self.col = 0 self.atbreak = 0 def send_literal_data(self, data): self.file.write(data) i = data.rfind('\n') if i >= 0: self.col = 0 data = data[i+1:] data = data.expandtabs() self.col = self.col + len(data) self.atbreak = 0 def send_flowing_data(self, data): if not data: return atbreak = self.atbreak or data[0].isspace() col = self.col maxcol = self.maxcol write = self.file.write for word in data.split(): if atbreak: if col + len(word) >= maxcol: write('\n') col = 0 else: write(' ') col = col + 1 write(word) col = col + len(word) atbreak = 1 self.col = col self.atbreak = data[-1].isspace() def test(file = None): w = DumbWriter() f = AbstractFormatter(w) if file is not None: fp = open(file) elif sys.argv[1:]: fp = open(sys.argv[1]) else: fp = sys.stdin for line in fp: if line == '\n': f.end_paragraph(1) else: f.add_flowing_data(line) f.end_paragraph(0) if __name__ == '__main__': test()

apache-2.0

kkk669/mxnet

python/mxnet/visualization.py

12

13772

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # coding: utf-8 # pylint: disable=invalid-name, too-many-locals, fixme # pylint: disable=too-many-branches, too-many-statements # pylint: disable=too-many-arguments # pylint: disable=dangerous-default-value """Visualization module""" from __future__ import absolute_import import re import copy import json from .symbol import Symbol def _str2tuple(string): """Convert shape string to list, internal use only. Parameters ---------- string: str Shape string. Returns ------- list of str Represents shape. """ return re.findall(r"\d+", string) def print_summary(symbol, shape=None, line_length=120, positions=[.44, .64, .74, 1.]): """Convert symbol for detail information. Parameters ---------- symbol: Symbol Symbol to be visualized. shape: dict A dict of shapes, str->shape (tuple), given input shapes. line_length: int Rotal length of printed lines positions: list Relative or absolute positions of log elements in each line. Returns ------ None """ if not isinstance(symbol, Symbol): raise TypeError("symbol must be Symbol") show_shape = False if shape is not None: show_shape = True interals = symbol.get_internals() _, out_shapes, _ = interals.infer_shape(**shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(interals.list_outputs(), out_shapes)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] heads = set(conf["heads"][0]) if positions[-1] <= 1: positions = [int(line_length * p) for p in positions] # header names for the different log elements to_display = ['Layer (type)', 'Output Shape', 'Param #', 'Previous Layer'] def print_row(fields, positions): """Print format row. Parameters ---------- fields: list Information field. positions: list Field length ratio. Returns ------ None """ line = '' for i, field in enumerate(fields): line += str(field) line = line[:positions[i]] line += ' ' * (positions[i] - len(line)) print(line) print('_' * line_length) print_row(to_display, positions) print('=' * line_length) def print_layer_summary(node, out_shape): """print layer information Parameters ---------- node: dict Node information. out_shape: dict Node shape information. Returns ------ Node total parameters. """ op = node["op"] pre_node = [] pre_filter = 0 if op != "null": inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_node["op"] != "null" or item[0] in heads: # add precede pre_node.append(input_name) if show_shape: if input_node["op"] != "null": key = input_name + "_output" else: key = input_name if key in shape_dict: shape = shape_dict[key][1:] pre_filter = pre_filter + int(shape[0]) cur_param = 0 if op == 'Convolution': if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]): cur_param = pre_filter * int(node["attrs"]["num_filter"]) for k in _str2tuple(node["attrs"]["kernel"]): cur_param *= int(k) else: cur_param = pre_filter * int(node["attrs"]["num_filter"]) for k in _str2tuple(node["attrs"]["kernel"]): cur_param *= int(k) cur_param += int(node["attrs"]["num_filter"]) elif op == 'FullyConnected': if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]): cur_param = pre_filter * (int(node["attrs"]["num_hidden"])) else: cur_param = (pre_filter+1) * (int(node["attrs"]["num_hidden"])) elif op == 'BatchNorm': key = node["name"] + "_output" if show_shape: num_filter = shape_dict[key][1] cur_param = int(num_filter) * 2 if not pre_node: first_connection = '' else: first_connection = pre_node[0] fields = [node['name'] + '(' + op + ')', "x".join([str(x) for x in out_shape]), cur_param, first_connection] print_row(fields, positions) if len(pre_node) > 1: for i in range(1, len(pre_node)): fields = ['', '', '', pre_node[i]] print_row(fields, positions) return cur_param total_params = 0 for i, node in enumerate(nodes): out_shape = [] op = node["op"] if op == "null" and i > 0: continue if op != "null" or i in heads: if show_shape: if op != "null": key = node["name"] + "_output" else: key = node["name"] if key in shape_dict: out_shape = shape_dict[key][1:] total_params += print_layer_summary(nodes[i], out_shape) if i == len(nodes) - 1: print('=' * line_length) else: print('_' * line_length) print('Total params: %s' % total_params) print('_' * line_length) def plot_network(symbol, title="plot", save_format='pdf', shape=None, node_attrs={}, hide_weights=True): """Creates a visualization (Graphviz digraph object) of the given computation graph. Graphviz must be installed for this function to work. Parameters ---------- title: str, optional Title of the generated visualization. symbol: Symbol A symbol from the computation graph. The generated digraph will visualize the part of the computation graph required to compute `symbol`. shape: dict, optional Specifies the shape of the input tensors. If specified, the visualization will include the shape of the tensors between the nodes. `shape` is a dictionary mapping input symbol names (str) to the corresponding tensor shape (tuple). node_attrs: dict, optional Specifies the attributes for nodes in the generated visualization. `node_attrs` is a dictionary of Graphviz attribute names and values. For example, ``node_attrs={"shape":"oval","fixedsize":"false"}`` will use oval shape for nodes and allow variable sized nodes in the visualization. hide_weights: bool, optional If True (default), then inputs with names of form *_weight (corresponding to weight tensors) or *_bias (corresponding to bias vectors) will be hidden for a cleaner visualization. Returns ------- dot: Digraph A Graphviz digraph object visualizing the computation graph to compute `symbol`. Example ------- >>> net = mx.sym.Variable('data') >>> net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128) >>> net = mx.sym.Activation(data=net, name='relu1', act_type="relu") >>> net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10) >>> net = mx.sym.SoftmaxOutput(data=net, name='out') >>> digraph = mx.viz.plot_network(net, shape={'data':(100,200)}, ... node_attrs={"fixedsize":"false"}) >>> digraph.view() """ # todo add shape support try: from graphviz import Digraph except: raise ImportError("Draw network requires graphviz library") if not isinstance(symbol, Symbol): raise TypeError("symbol must be a Symbol") draw_shape = False if shape is not None: draw_shape = True interals = symbol.get_internals() _, out_shapes, _ = interals.infer_shape(**shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(interals.list_outputs(), out_shapes)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] # default attributes of node node_attr = {"shape": "box", "fixedsize": "true", "width": "1.3", "height": "0.8034", "style": "filled"} # merge the dict provided by user and the default one node_attr.update(node_attrs) dot = Digraph(name=title, format=save_format) # color map cm = ("#8dd3c7", "#fb8072", "#ffffb3", "#bebada", "#80b1d3", "#fdb462", "#b3de69", "#fccde5") def looks_like_weight(name): """Internal helper to figure out if node should be hidden with `hide_weights`. """ if name.endswith("_weight"): return True if name.endswith("_bias"): return True if name.endswith("_beta") or name.endswith("_gamma") or \ name.endswith("_moving_var") or name.endswith("_moving_mean"): return True return False # make nodes hidden_nodes = set() for node in nodes: op = node["op"] name = node["name"] # input data attr = copy.deepcopy(node_attr) label = name if op == "null": if looks_like_weight(node["name"]): if hide_weights: hidden_nodes.add(node["name"]) # else we don't render a node, but # don't add it to the hidden_nodes set # so it gets rendered as an empty oval continue attr["shape"] = "oval" # inputs get their own shape label = node["name"] attr["fillcolor"] = cm[0] elif op == "Convolution": label = r"Convolution\n%s/%s, %s" % ("x".join(_str2tuple(node["attrs"]["kernel"])), "x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1", node["attrs"]["num_filter"]) attr["fillcolor"] = cm[1] elif op == "FullyConnected": label = r"FullyConnected\n%s" % node["attrs"]["num_hidden"] attr["fillcolor"] = cm[1] elif op == "BatchNorm": attr["fillcolor"] = cm[3] elif op == "Activation" or op == "LeakyReLU": label = r"%s\n%s" % (op, node["attrs"]["act_type"]) attr["fillcolor"] = cm[2] elif op == "Pooling": label = r"Pooling\n%s, %s/%s" % (node["attrs"]["pool_type"], "x".join(_str2tuple(node["attrs"]["kernel"])), "x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1") attr["fillcolor"] = cm[4] elif op == "Concat" or op == "Flatten" or op == "Reshape": attr["fillcolor"] = cm[5] elif op == "Softmax": attr["fillcolor"] = cm[6] else: attr["fillcolor"] = cm[7] if op == "Custom": label = node["attrs"]["op_type"] dot.node(name=name, label=label, **attr) # add edges for node in nodes: # pylint: disable=too-many-nested-blocks op = node["op"] name = node["name"] if op == "null": continue else: inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_name not in hidden_nodes: attr = {"dir": "back", 'arrowtail':'open'} # add shapes if draw_shape: if input_node["op"] != "null": key = input_name + "_output" if "attrs" in input_node: params = input_node["attrs"] if "num_outputs" in params: key += str(int(params["num_outputs"]) - 1) shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label else: key = input_name shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label dot.edge(tail_name=name, head_name=input_name, **attr) return dot

apache-2.0

acimmarusti/isl_exercises

chap3/chap3ex8.py

1

1315

from __future__ import print_function, division import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from pandas.tools.plotting import scatter_matrix import statsmodels.formula.api as smf #from sklearn.linear_model import LinearRegression #import scipy, scipy.stats #from statsmodels.sandbox.regression.predstd import wls_prediction_std from statsmodels.stats.outliers_influence import variance_inflation_factor, summary_table filename = '../Auto.csv' data = pd.read_csv(filename, na_values='?').dropna() #Quantitative and qualitative predictors# print(data.dtypes) #Simple linear regression# slinreg = smf.ols('mpg ~ horsepower', data=data).fit() print(slinreg.summary()) st, fitdat, ss2 = summary_table(slinreg, alpha=0.05) fittedvalues = fitdat[:,2] predict_mean_se = fitdat[:,3] predict_mean_ci_low, predict_mean_ci_upp = fitdat[:,4:6].T predict_ci_low, predict_ci_upp = fitdat[:,6:8].T x = data['horsepower'] y = data['mpg'] #Residuals# resd1 = y - fittedvalues f, (ax1, ax2) = plt.subplots(1, 2, sharey=True) ax1.plot(x, y, 'o') ax1.plot(x, fittedvalues, 'g-') ax1.plot(x, predict_ci_low, 'r--') ax1.plot(x, predict_ci_upp, 'r--') ax1.plot(x, predict_mean_ci_low, 'b--') ax1.plot(x, predict_mean_ci_upp, 'b--') ax2.plot(resd1, fittedvalues, 'o') plt.show()

gpl-3.0

Kwentar/ImageDownloader

vk.py

1

7993

import json import random from urllib.error import URLError from urllib.parse import urlencode from urllib.request import urlopen, http, Request import time from datetime import date from Profiler import Profiler import __setup_photo__ as setup class VkError(Exception): def __init__(self, value): self.value = value def __str__(self): return repr(self.value) class VkUser: def __init__(self, uid, name, last_name, day_b, month_b, sex, city_id, age=-1, year_b=-1): self.uid = uid self.name = name self.last_name = last_name self.day_b = day_b self.month_b = month_b if year_b == -1: year_b = date.today().year - age if month_b < date.today().month or month_b == date.today().month and day_b < date.today().day: year_b -= 1 self.year_b = year_b self.sex = sex self.city_id = city_id def __str__(self): return ";".join([self.uid, self.name, self.last_name, self.day_b.__str__(), self.month_b.__str__(), self.year_b.__str__(), self.sex.__str__(), self.city_id.__str__()]) def get_age(self): return date.today().year - self.year_b class Vk: tokens = setup.user_tokens curr_token = '' p = Profiler() @staticmethod def check_time(value=0.5): if Vk.p.get_time() < value: time.sleep(value) Vk.p.start() @staticmethod def set_token(token): Vk.tokens.clear() Vk.tokens.append(token) @staticmethod def get_token(): while True: el = random.choice(Vk.tokens) if el != Vk.curr_token: test_url = 'https://api.vk.com/method/getProfiles?uid=66748&v=5.103&access_token=' + el Vk.check_time(1) try: response = urlopen(test_url).read() result = json.loads(response.decode('utf-8')) if 'response' in result.keys(): print('now I use the ' + el + ' token') Vk.curr_token = el return el except http.client.BadStatusLine as err_: print("".join(['ERROR Vk.get_token', err_.__str__()])) raise VkError('all tokens are invalid: ' + result['error']['error_msg'].__str__()) @staticmethod def call_api(method, params): Vk.check_time() while not Vk.curr_token: Vk.get_token() if isinstance(params, list): params_list = params[:] elif isinstance(params, dict): params_list = params.items() else: params_list = [params] params_list += [('access_token', Vk.curr_token), ('v', '5.103')] url = 'https://api.vk.com/method/%s?%s' % (method, urlencode(params_list)) try: req = Request(url=url, headers={'User-agent': random.choice(setup.user_agents)}) response = urlopen(req).read() result = json.loads(response.decode('utf-8')) try: if 'response' in result.keys(): return result['response'] else: raise VkError('no response on answer: ' + result['error']['error_msg'].__str__()) except VkError as err_: print(err_.value) Vk.curr_token = Vk.get_token() # Vk.call_api(method, params) except URLError as err_: print('URLError: ' + err_.errno.__str__() + ", " + err_.reason.__str__()) except http.client.BadStatusLine as err_: print("".join(['ERROR Vk.call_api', err_.__str__()])) except ConnectionResetError as err_: print("".join(['ERROR ConnectionResetError', err_.__str__()])) except ConnectionAbortedError as err_: print("".join(['ERROR ConnectionAbortedError', err_.__str__()])) return list() @staticmethod def get_uids(age, month, day, city_id, fields='sex'): search_q = list() search_q.append(('offset', '0')) search_q.append(('count', '300')) search_q.append(('city', city_id)) search_q.append(('fields', fields)) search_q.append(('age_from', age)) search_q.append(('age_to', age)) search_q.append(('has_photo', '1')) search_q.append(('birth_day', day)) search_q.append(('birth_month', month)) r = Vk.call_api('users.search', search_q) count = r['count'] users = list() for el in r['items']: if 'id' in el.keys() and not el['is_closed']: user = VkUser(uid=el['id'].__str__(), name=el['first_name'], last_name=el['last_name'], sex=el['sex'], day_b=day, month_b=month, age=age, city_id=city_id) users.append(user) if count > 1000: Vk.warning('''Count more than 1000, count = {}, age = {}, month = {}, day = {}'''.format(count, age, month, day)) return users @staticmethod def create_user_from_response(response): if 'user_id' in response.keys(): uid = response['user_id'].__str__() elif 'uid' in response.keys(): uid = response['uid'].__str__() else: return None if 'deactivated' in response.keys(): return None last_name = 'None' sex = 'None' name = 'None' city_id = 'None' day, month, age = [0, 0, 0] if 'last_name' in response.keys(): last_name = response['last_name'].__str__() if 'first_name' in response.keys(): name = response['first_name'].__str__() if 'sex' in response.keys(): sex = response['sex'].__str__() if 'city' in response.keys(): city_id = response['city'].__str__() if 'bdate' in response.keys(): bdate = response['bdate'].__str__().split('.') if len(bdate) > 2: day, month, age = map(int, bdate) age = date.today().year - age else: day, month = map(int, bdate) user = VkUser(uid=uid, name=name, last_name=last_name, sex=sex, day_b=day, month_b=month, age=age, city_id=city_id) return user @staticmethod def get_user_info(uid, fields='city,bdate,sex'): search_q = list() search_q.append(('user_id', uid)) search_q.append(('fields', fields)) r = Vk.call_api('users.get', search_q) for el in r: user = Vk.create_user_from_response(el) if user is not None: return user @staticmethod def get_friends(uid, fields='city,bdate,sex'): search_q = list() search_q.append(('user_id', uid)) search_q.append(('offset', '0')) search_q.append(('count', '1000')) search_q.append(('fields', fields)) r = Vk.call_api('friends.get', search_q) count = len(r) users = list() for el in r: user = Vk.create_user_from_response(el) if user is not None: users.append(user) if count > 1000: Vk.warning('Count more than 1000') return users @staticmethod def get_profile_photos(id_): q = list() q.append(('owner_id', id_)) q.append(('count', '10')) q.append(('rev', '1')) q.append(('extended', '1')) q.append(('photos_size', '0')) r = Vk.call_api('photos.getAll', q) images = [] for photo in r['items']: max_photo = max(photo['sizes'], key=lambda x: x['width']*x['height']) images.append(max_photo['url']) return images @staticmethod def warning(msg): print(msg)

mit

svirt/tp-libvirt

libvirt/tests/src/virsh_cmd/filter/virsh_nwfilter_dumpxml.py

4

3574

import logging from autotest.client.shared import error from virttest import virsh from virttest import libvirt_xml from provider import libvirt_version def check_list(uuid, name): """ Return True if filter found in nwfilter-list :param uuid: filter uuid :param name: filter name :return: True if found, False if not found """ cmd_result = virsh.nwfilter_list(options="", ignore_status=True, debug=True) output = cmd_result.stdout.strip().split('\n') for i in range(2, len(output)): if output[i].split() == [uuid, name]: return True return False def run(test, params, env): """ Test command: virsh nwfilter-dumpxml. 1) Prepare parameters. 2) Run dumpxml command. 3) Check result. """ # Prepare parameters filter_name = params.get("dumpxml_filter_name", "") options_ref = params.get("dumpxml_options_ref", "") status_error = params.get("status_error", "no") # acl polkit params uri = params.get("virsh_uri") unprivileged_user = params.get('unprivileged_user') if unprivileged_user: if unprivileged_user.count('EXAMPLE'): unprivileged_user = 'testacl' if not libvirt_version.version_compare(1, 1, 1): if params.get('setup_libvirt_polkit') == 'yes': raise error.TestNAError("API acl test not supported in current" " libvirt version.") virsh_dargs = {'ignore_status': True, 'debug': True} if params.get('setup_libvirt_polkit') == 'yes': virsh_dargs['unprivileged_user'] = unprivileged_user virsh_dargs['uri'] = uri # Run command cmd_result = virsh.nwfilter_dumpxml(filter_name, options=options_ref, **virsh_dargs) output = cmd_result.stdout.strip() status = cmd_result.exit_status # Check result if status_error == "yes": if status == 0: raise error.TestFail("Run successfully with wrong command.") elif status_error == "no": if status: raise error.TestFail("Run failed with right command.") # Get uuid and name from output xml and compare with nwfilter-list # output new_filter = libvirt_xml.NwfilterXML() new_filter['xml'] = output uuid = new_filter.uuid name = new_filter.filter_name if check_list(uuid, name): logging.debug("The filter with uuid %s and name %s" % (uuid, name) + " from nwfilter-dumpxml was found in" " nwfilter-list output") else: raise error.TestFail("The uuid %s with name %s from" % (uuid, name) + " nwfilter-dumpxml did not match with" " nwfilter-list output") # Run command second time with uuid cmd_result = virsh.nwfilter_dumpxml(uuid, options=options_ref, **virsh_dargs) output1 = cmd_result.stdout.strip() status1 = cmd_result.exit_status if status_error == "yes": if status1 == 0: raise error.TestFail("Run successfully with wrong command.") elif status_error == "no": if status1: raise error.TestFail("Run failed with right command.") if output1 != output: raise error.TestFail("nwfilter dumpxml output was different" + " between using filter uuid and name")

gpl-2.0

mapennell/ansible

test/units/mock/loader.py

50

2876

# (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com> # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see <http://www.gnu.org/licenses/>. # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import os from ansible.errors import AnsibleParserError from ansible.parsing import DataLoader class DictDataLoader(DataLoader): def __init__(self, file_mapping=dict()): assert type(file_mapping) == dict self._file_mapping = file_mapping self._build_known_directories() super(DictDataLoader, self).__init__() def load_from_file(self, path): if path in self._file_mapping: return self.load(self._file_mapping[path], path) return None def _get_file_contents(self, path): if path in self._file_mapping: return (self._file_mapping[path], False) else: raise AnsibleParserError("file not found: %s" % path) def path_exists(self, path): return path in self._file_mapping or path in self._known_directories def is_file(self, path): return path in self._file_mapping def is_directory(self, path): return path in self._known_directories def list_directory(self, path): return [x for x in self._known_directories] def _add_known_directory(self, directory): if directory not in self._known_directories: self._known_directories.append(directory) def _build_known_directories(self): self._known_directories = [] for path in self._file_mapping: dirname = os.path.dirname(path) while dirname not in ('/', ''): self._add_known_directory(dirname) dirname = os.path.dirname(dirname) def push(self, path, content): rebuild_dirs = False if path not in self._file_mapping: rebuild_dirs = True self._file_mapping[path] = content if rebuild_dirs: self._build_known_directories() def pop(self, path): if path in self._file_mapping: del self._file_mapping[path] self._build_known_directories() def clear(self): self._file_mapping = dict() self._known_directories = []

gpl-3.0

strint/tensorflow

tensorflow/examples/image_retraining/retrain.py

19

43141

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Simple transfer learning with an Inception v3 architecture model which displays summaries in TensorBoard. This example shows how to take a Inception v3 architecture model trained on ImageNet images, and train a new top layer that can recognize other classes of images. The top layer receives as input a 2048-dimensional vector for each image. We train a softmax layer on top of this representation. Assuming the softmax layer contains N labels, this corresponds to learning N + 2048*N model parameters corresponding to the learned biases and weights. Here's an example, which assumes you have a folder containing class-named subfolders, each full of images for each label. The example folder flower_photos should have a structure like this: ~/flower_photos/daisy/photo1.jpg ~/flower_photos/daisy/photo2.jpg ... ~/flower_photos/rose/anotherphoto77.jpg ... ~/flower_photos/sunflower/somepicture.jpg The subfolder names are important, since they define what label is applied to each image, but the filenames themselves don't matter. Once your images are prepared, you can run the training with a command like this: bazel build tensorflow/examples/image_retraining:retrain && \ bazel-bin/tensorflow/examples/image_retraining/retrain \ --image_dir ~/flower_photos You can replace the image_dir argument with any folder containing subfolders of images. The label for each image is taken from the name of the subfolder it's in. This produces a new model file that can be loaded and run by any TensorFlow program, for example the label_image sample code. To use with TensorBoard: By default, this script will log summaries to /tmp/retrain_logs directory Visualize the summaries with this command: tensorboard --logdir /tmp/retrain_logs """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse from datetime import datetime import hashlib import os.path import random import re import struct import sys import tarfile import numpy as np from six.moves import urllib import tensorflow as tf from tensorflow.python.framework import graph_util from tensorflow.python.framework import tensor_shape from tensorflow.python.platform import gfile from tensorflow.python.util import compat FLAGS = None # These are all parameters that are tied to the particular model architecture # we're using for Inception v3. These include things like tensor names and their # sizes. If you want to adapt this script to work with another model, you will # need to update these to reflect the values in the network you're using. # pylint: disable=line-too-long DATA_URL = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz' # pylint: enable=line-too-long BOTTLENECK_TENSOR_NAME = 'pool_3/_reshape:0' BOTTLENECK_TENSOR_SIZE = 2048 MODEL_INPUT_WIDTH = 299 MODEL_INPUT_HEIGHT = 299 MODEL_INPUT_DEPTH = 3 JPEG_DATA_TENSOR_NAME = 'DecodeJpeg/contents:0' RESIZED_INPUT_TENSOR_NAME = 'ResizeBilinear:0' MAX_NUM_IMAGES_PER_CLASS = 2 ** 27 - 1 # ~134M def create_image_lists(image_dir, testing_percentage, validation_percentage): """Builds a list of training images from the file system. Analyzes the sub folders in the image directory, splits them into stable training, testing, and validation sets, and returns a data structure describing the lists of images for each label and their paths. Args: image_dir: String path to a folder containing subfolders of images. testing_percentage: Integer percentage of the images to reserve for tests. validation_percentage: Integer percentage of images reserved for validation. Returns: A dictionary containing an entry for each label subfolder, with images split into training, testing, and validation sets within each label. """ if not gfile.Exists(image_dir): print("Image directory '" + image_dir + "' not found.") return None result = {} sub_dirs = [x[0] for x in gfile.Walk(image_dir)] # The root directory comes first, so skip it. is_root_dir = True for sub_dir in sub_dirs: if is_root_dir: is_root_dir = False continue extensions = ['jpg', 'jpeg', 'JPG', 'JPEG'] file_list = [] dir_name = os.path.basename(sub_dir) if dir_name == image_dir: continue print("Looking for images in '" + dir_name + "'") for extension in extensions: file_glob = os.path.join(image_dir, dir_name, '*.' + extension) file_list.extend(gfile.Glob(file_glob)) if not file_list: print('No files found') continue if len(file_list) < 20: print('WARNING: Folder has less than 20 images, which may cause issues.') elif len(file_list) > MAX_NUM_IMAGES_PER_CLASS: print('WARNING: Folder {} has more than {} images. Some images will ' 'never be selected.'.format(dir_name, MAX_NUM_IMAGES_PER_CLASS)) label_name = re.sub(r'[^a-z0-9]+', ' ', dir_name.lower()) training_images = [] testing_images = [] validation_images = [] for file_name in file_list: base_name = os.path.basename(file_name) # We want to ignore anything after '_nohash_' in the file name when # deciding which set to put an image in, the data set creator has a way of # grouping photos that are close variations of each other. For example # this is used in the plant disease data set to group multiple pictures of # the same leaf. hash_name = re.sub(r'_nohash_.*$', '', file_name) # This looks a bit magical, but we need to decide whether this file should # go into the training, testing, or validation sets, and we want to keep # existing files in the same set even if more files are subsequently # added. # To do that, we need a stable way of deciding based on just the file name # itself, so we do a hash of that and then use that to generate a # probability value that we use to assign it. hash_name_hashed = hashlib.sha1(compat.as_bytes(hash_name)).hexdigest() percentage_hash = ((int(hash_name_hashed, 16) % (MAX_NUM_IMAGES_PER_CLASS + 1)) * (100.0 / MAX_NUM_IMAGES_PER_CLASS)) if percentage_hash < validation_percentage: validation_images.append(base_name) elif percentage_hash < (testing_percentage + validation_percentage): testing_images.append(base_name) else: training_images.append(base_name) result[label_name] = { 'dir': dir_name, 'training': training_images, 'testing': testing_images, 'validation': validation_images, } return result def get_image_path(image_lists, label_name, index, image_dir, category): """"Returns a path to an image for a label at the given index. Args: image_lists: Dictionary of training images for each label. label_name: Label string we want to get an image for. index: Int offset of the image we want. This will be moduloed by the available number of images for the label, so it can be arbitrarily large. image_dir: Root folder string of the subfolders containing the training images. category: Name string of set to pull images from - training, testing, or validation. Returns: File system path string to an image that meets the requested parameters. """ if label_name not in image_lists: tf.logging.fatal('Label does not exist %s.', label_name) label_lists = image_lists[label_name] if category not in label_lists: tf.logging.fatal('Category does not exist %s.', category) category_list = label_lists[category] if not category_list: tf.logging.fatal('Label %s has no images in the category %s.', label_name, category) mod_index = index % len(category_list) base_name = category_list[mod_index] sub_dir = label_lists['dir'] full_path = os.path.join(image_dir, sub_dir, base_name) return full_path def get_bottleneck_path(image_lists, label_name, index, bottleneck_dir, category): """"Returns a path to a bottleneck file for a label at the given index. Args: image_lists: Dictionary of training images for each label. label_name: Label string we want to get an image for. index: Integer offset of the image we want. This will be moduloed by the available number of images for the label, so it can be arbitrarily large. bottleneck_dir: Folder string holding cached files of bottleneck values. category: Name string of set to pull images from - training, testing, or validation. Returns: File system path string to an image that meets the requested parameters. """ return get_image_path(image_lists, label_name, index, bottleneck_dir, category) + '.txt' def create_inception_graph(): """"Creates a graph from saved GraphDef file and returns a Graph object. Returns: Graph holding the trained Inception network, and various tensors we'll be manipulating. """ with tf.Session() as sess: model_filename = os.path.join( FLAGS.model_dir, 'classify_image_graph_def.pb') with gfile.FastGFile(model_filename, 'rb') as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) bottleneck_tensor, jpeg_data_tensor, resized_input_tensor = ( tf.import_graph_def(graph_def, name='', return_elements=[ BOTTLENECK_TENSOR_NAME, JPEG_DATA_TENSOR_NAME, RESIZED_INPUT_TENSOR_NAME])) return sess.graph, bottleneck_tensor, jpeg_data_tensor, resized_input_tensor def run_bottleneck_on_image(sess, image_data, image_data_tensor, bottleneck_tensor): """Runs inference on an image to extract the 'bottleneck' summary layer. Args: sess: Current active TensorFlow Session. image_data: String of raw JPEG data. image_data_tensor: Input data layer in the graph. bottleneck_tensor: Layer before the final softmax. Returns: Numpy array of bottleneck values. """ bottleneck_values = sess.run( bottleneck_tensor, {image_data_tensor: image_data}) bottleneck_values = np.squeeze(bottleneck_values) return bottleneck_values def maybe_download_and_extract(): """Download and extract model tar file. If the pretrained model we're using doesn't already exist, this function downloads it from the TensorFlow.org website and unpacks it into a directory. """ dest_directory = FLAGS.model_dir if not os.path.exists(dest_directory): os.makedirs(dest_directory) filename = DATA_URL.split('/')[-1] filepath = os.path.join(dest_directory, filename) if not os.path.exists(filepath): def _progress(count, block_size, total_size): sys.stdout.write('\r>> Downloading %s %.1f%%' % (filename, float(count * block_size) / float(total_size) * 100.0)) sys.stdout.flush() filepath, _ = urllib.request.urlretrieve(DATA_URL, filepath, _progress) print() statinfo = os.stat(filepath) print('Successfully downloaded', filename, statinfo.st_size, 'bytes.') tarfile.open(filepath, 'r:gz').extractall(dest_directory) def ensure_dir_exists(dir_name): """Makes sure the folder exists on disk. Args: dir_name: Path string to the folder we want to create. """ if not os.path.exists(dir_name): os.makedirs(dir_name) def write_list_of_floats_to_file(list_of_floats , file_path): """Writes a given list of floats to a binary file. Args: list_of_floats: List of floats we want to write to a file. file_path: Path to a file where list of floats will be stored. """ s = struct.pack('d' * BOTTLENECK_TENSOR_SIZE, *list_of_floats) with open(file_path, 'wb') as f: f.write(s) def read_list_of_floats_from_file(file_path): """Reads list of floats from a given file. Args: file_path: Path to a file where list of floats was stored. Returns: Array of bottleneck values (list of floats). """ with open(file_path, 'rb') as f: s = struct.unpack('d' * BOTTLENECK_TENSOR_SIZE, f.read()) return list(s) bottleneck_path_2_bottleneck_values = {} def create_bottleneck_file(bottleneck_path, image_lists, label_name, index, image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor): print('Creating bottleneck at ' + bottleneck_path) image_path = get_image_path(image_lists, label_name, index, image_dir, category) if not gfile.Exists(image_path): tf.logging.fatal('File does not exist %s', image_path) image_data = gfile.FastGFile(image_path, 'rb').read() bottleneck_values = run_bottleneck_on_image(sess, image_data, jpeg_data_tensor, bottleneck_tensor) bottleneck_string = ','.join(str(x) for x in bottleneck_values) with open(bottleneck_path, 'w') as bottleneck_file: bottleneck_file.write(bottleneck_string) def get_or_create_bottleneck(sess, image_lists, label_name, index, image_dir, category, bottleneck_dir, jpeg_data_tensor, bottleneck_tensor): """Retrieves or calculates bottleneck values for an image. If a cached version of the bottleneck data exists on-disk, return that, otherwise calculate the data and save it to disk for future use. Args: sess: The current active TensorFlow Session. image_lists: Dictionary of training images for each label. label_name: Label string we want to get an image for. index: Integer offset of the image we want. This will be modulo-ed by the available number of images for the label, so it can be arbitrarily large. image_dir: Root folder string of the subfolders containing the training images. category: Name string of which set to pull images from - training, testing, or validation. bottleneck_dir: Folder string holding cached files of bottleneck values. jpeg_data_tensor: The tensor to feed loaded jpeg data into. bottleneck_tensor: The output tensor for the bottleneck values. Returns: Numpy array of values produced by the bottleneck layer for the image. """ label_lists = image_lists[label_name] sub_dir = label_lists['dir'] sub_dir_path = os.path.join(bottleneck_dir, sub_dir) ensure_dir_exists(sub_dir_path) bottleneck_path = get_bottleneck_path(image_lists, label_name, index, bottleneck_dir, category) if not os.path.exists(bottleneck_path): create_bottleneck_file(bottleneck_path, image_lists, label_name, index, image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor) with open(bottleneck_path, 'r') as bottleneck_file: bottleneck_string = bottleneck_file.read() did_hit_error = False try: bottleneck_values = [float(x) for x in bottleneck_string.split(',')] except: print("Invalid float found, recreating bottleneck") did_hit_error = True if did_hit_error: create_bottleneck_file(bottleneck_path, image_lists, label_name, index, image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor) with open(bottleneck_path, 'r') as bottleneck_file: bottleneck_string = bottleneck_file.read() # Allow exceptions to propagate here, since they shouldn't happen after a fresh creation bottleneck_values = [float(x) for x in bottleneck_string.split(',')] return bottleneck_values def cache_bottlenecks(sess, image_lists, image_dir, bottleneck_dir, jpeg_data_tensor, bottleneck_tensor): """Ensures all the training, testing, and validation bottlenecks are cached. Because we're likely to read the same image multiple times (if there are no distortions applied during training) it can speed things up a lot if we calculate the bottleneck layer values once for each image during preprocessing, and then just read those cached values repeatedly during training. Here we go through all the images we've found, calculate those values, and save them off. Args: sess: The current active TensorFlow Session. image_lists: Dictionary of training images for each label. image_dir: Root folder string of the subfolders containing the training images. bottleneck_dir: Folder string holding cached files of bottleneck values. jpeg_data_tensor: Input tensor for jpeg data from file. bottleneck_tensor: The penultimate output layer of the graph. Returns: Nothing. """ how_many_bottlenecks = 0 ensure_dir_exists(bottleneck_dir) for label_name, label_lists in image_lists.items(): for category in ['training', 'testing', 'validation']: category_list = label_lists[category] for index, unused_base_name in enumerate(category_list): get_or_create_bottleneck(sess, image_lists, label_name, index, image_dir, category, bottleneck_dir, jpeg_data_tensor, bottleneck_tensor) how_many_bottlenecks += 1 if how_many_bottlenecks % 100 == 0: print(str(how_many_bottlenecks) + ' bottleneck files created.') def get_random_cached_bottlenecks(sess, image_lists, how_many, category, bottleneck_dir, image_dir, jpeg_data_tensor, bottleneck_tensor): """Retrieves bottleneck values for cached images. If no distortions are being applied, this function can retrieve the cached bottleneck values directly from disk for images. It picks a random set of images from the specified category. Args: sess: Current TensorFlow Session. image_lists: Dictionary of training images for each label. how_many: If positive, a random sample of this size will be chosen. If negative, all bottlenecks will be retrieved. category: Name string of which set to pull from - training, testing, or validation. bottleneck_dir: Folder string holding cached files of bottleneck values. image_dir: Root folder string of the subfolders containing the training images. jpeg_data_tensor: The layer to feed jpeg image data into. bottleneck_tensor: The bottleneck output layer of the CNN graph. Returns: List of bottleneck arrays, their corresponding ground truths, and the relevant filenames. """ class_count = len(image_lists.keys()) bottlenecks = [] ground_truths = [] filenames = [] if how_many >= 0: # Retrieve a random sample of bottlenecks. for unused_i in range(how_many): label_index = random.randrange(class_count) label_name = list(image_lists.keys())[label_index] image_index = random.randrange(MAX_NUM_IMAGES_PER_CLASS + 1) image_name = get_image_path(image_lists, label_name, image_index, image_dir, category) bottleneck = get_or_create_bottleneck(sess, image_lists, label_name, image_index, image_dir, category, bottleneck_dir, jpeg_data_tensor, bottleneck_tensor) ground_truth = np.zeros(class_count, dtype=np.float32) ground_truth[label_index] = 1.0 bottlenecks.append(bottleneck) ground_truths.append(ground_truth) filenames.append(image_name) else: # Retrieve all bottlenecks. for label_index, label_name in enumerate(image_lists.keys()): for image_index, image_name in enumerate( image_lists[label_name][category]): image_name = get_image_path(image_lists, label_name, image_index, image_dir, category) bottleneck = get_or_create_bottleneck(sess, image_lists, label_name, image_index, image_dir, category, bottleneck_dir, jpeg_data_tensor, bottleneck_tensor) ground_truth = np.zeros(class_count, dtype=np.float32) ground_truth[label_index] = 1.0 bottlenecks.append(bottleneck) ground_truths.append(ground_truth) filenames.append(image_name) return bottlenecks, ground_truths, filenames def get_random_distorted_bottlenecks( sess, image_lists, how_many, category, image_dir, input_jpeg_tensor, distorted_image, resized_input_tensor, bottleneck_tensor): """Retrieves bottleneck values for training images, after distortions. If we're training with distortions like crops, scales, or flips, we have to recalculate the full model for every image, and so we can't use cached bottleneck values. Instead we find random images for the requested category, run them through the distortion graph, and then the full graph to get the bottleneck results for each. Args: sess: Current TensorFlow Session. image_lists: Dictionary of training images for each label. how_many: The integer number of bottleneck values to return. category: Name string of which set of images to fetch - training, testing, or validation. image_dir: Root folder string of the subfolders containing the training images. input_jpeg_tensor: The input layer we feed the image data to. distorted_image: The output node of the distortion graph. resized_input_tensor: The input node of the recognition graph. bottleneck_tensor: The bottleneck output layer of the CNN graph. Returns: List of bottleneck arrays and their corresponding ground truths. """ class_count = len(image_lists.keys()) bottlenecks = [] ground_truths = [] for unused_i in range(how_many): label_index = random.randrange(class_count) label_name = list(image_lists.keys())[label_index] image_index = random.randrange(MAX_NUM_IMAGES_PER_CLASS + 1) image_path = get_image_path(image_lists, label_name, image_index, image_dir, category) if not gfile.Exists(image_path): tf.logging.fatal('File does not exist %s', image_path) jpeg_data = gfile.FastGFile(image_path, 'rb').read() # Note that we materialize the distorted_image_data as a numpy array before # sending running inference on the image. This involves 2 memory copies and # might be optimized in other implementations. distorted_image_data = sess.run(distorted_image, {input_jpeg_tensor: jpeg_data}) bottleneck = run_bottleneck_on_image(sess, distorted_image_data, resized_input_tensor, bottleneck_tensor) ground_truth = np.zeros(class_count, dtype=np.float32) ground_truth[label_index] = 1.0 bottlenecks.append(bottleneck) ground_truths.append(ground_truth) return bottlenecks, ground_truths def should_distort_images(flip_left_right, random_crop, random_scale, random_brightness): """Whether any distortions are enabled, from the input flags. Args: flip_left_right: Boolean whether to randomly mirror images horizontally. random_crop: Integer percentage setting the total margin used around the crop box. random_scale: Integer percentage of how much to vary the scale by. random_brightness: Integer range to randomly multiply the pixel values by. Returns: Boolean value indicating whether any distortions should be applied. """ return (flip_left_right or (random_crop != 0) or (random_scale != 0) or (random_brightness != 0)) def add_input_distortions(flip_left_right, random_crop, random_scale, random_brightness): """Creates the operations to apply the specified distortions. During training it can help to improve the results if we run the images through simple distortions like crops, scales, and flips. These reflect the kind of variations we expect in the real world, and so can help train the model to cope with natural data more effectively. Here we take the supplied parameters and construct a network of operations to apply them to an image. Cropping ~~~~~~~~ Cropping is done by placing a bounding box at a random position in the full image. The cropping parameter controls the size of that box relative to the input image. If it's zero, then the box is the same size as the input and no cropping is performed. If the value is 50%, then the crop box will be half the width and height of the input. In a diagram it looks like this: < width > +---------------------+ | | | width - crop% | | < > | | +------+ | | | | | | | | | | | | | | +------+ | | | | | +---------------------+ Scaling ~~~~~~~ Scaling is a lot like cropping, except that the bounding box is always centered and its size varies randomly within the given range. For example if the scale percentage is zero, then the bounding box is the same size as the input and no scaling is applied. If it's 50%, then the bounding box will be in a random range between half the width and height and full size. Args: flip_left_right: Boolean whether to randomly mirror images horizontally. random_crop: Integer percentage setting the total margin used around the crop box. random_scale: Integer percentage of how much to vary the scale by. random_brightness: Integer range to randomly multiply the pixel values by. graph. Returns: The jpeg input layer and the distorted result tensor. """ jpeg_data = tf.placeholder(tf.string, name='DistortJPGInput') decoded_image = tf.image.decode_jpeg(jpeg_data, channels=MODEL_INPUT_DEPTH) decoded_image_as_float = tf.cast(decoded_image, dtype=tf.float32) decoded_image_4d = tf.expand_dims(decoded_image_as_float, 0) margin_scale = 1.0 + (random_crop / 100.0) resize_scale = 1.0 + (random_scale / 100.0) margin_scale_value = tf.constant(margin_scale) resize_scale_value = tf.random_uniform(tensor_shape.scalar(), minval=1.0, maxval=resize_scale) scale_value = tf.multiply(margin_scale_value, resize_scale_value) precrop_width = tf.multiply(scale_value, MODEL_INPUT_WIDTH) precrop_height = tf.multiply(scale_value, MODEL_INPUT_HEIGHT) precrop_shape = tf.stack([precrop_height, precrop_width]) precrop_shape_as_int = tf.cast(precrop_shape, dtype=tf.int32) precropped_image = tf.image.resize_bilinear(decoded_image_4d, precrop_shape_as_int) precropped_image_3d = tf.squeeze(precropped_image, squeeze_dims=[0]) cropped_image = tf.random_crop(precropped_image_3d, [MODEL_INPUT_HEIGHT, MODEL_INPUT_WIDTH, MODEL_INPUT_DEPTH]) if flip_left_right: flipped_image = tf.image.random_flip_left_right(cropped_image) else: flipped_image = cropped_image brightness_min = 1.0 - (random_brightness / 100.0) brightness_max = 1.0 + (random_brightness / 100.0) brightness_value = tf.random_uniform(tensor_shape.scalar(), minval=brightness_min, maxval=brightness_max) brightened_image = tf.multiply(flipped_image, brightness_value) distort_result = tf.expand_dims(brightened_image, 0, name='DistortResult') return jpeg_data, distort_result def variable_summaries(var): """Attach a lot of summaries to a Tensor (for TensorBoard visualization).""" with tf.name_scope('summaries'): mean = tf.reduce_mean(var) tf.summary.scalar('mean', mean) with tf.name_scope('stddev'): stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean))) tf.summary.scalar('stddev', stddev) tf.summary.scalar('max', tf.reduce_max(var)) tf.summary.scalar('min', tf.reduce_min(var)) tf.summary.histogram('histogram', var) def add_final_training_ops(class_count, final_tensor_name, bottleneck_tensor): """Adds a new softmax and fully-connected layer for training. We need to retrain the top layer to identify our new classes, so this function adds the right operations to the graph, along with some variables to hold the weights, and then sets up all the gradients for the backward pass. The set up for the softmax and fully-connected layers is based on: https://tensorflow.org/versions/master/tutorials/mnist/beginners/index.html Args: class_count: Integer of how many categories of things we're trying to recognize. final_tensor_name: Name string for the new final node that produces results. bottleneck_tensor: The output of the main CNN graph. Returns: The tensors for the training and cross entropy results, and tensors for the bottleneck input and ground truth input. """ with tf.name_scope('input'): bottleneck_input = tf.placeholder_with_default( bottleneck_tensor, shape=[None, BOTTLENECK_TENSOR_SIZE], name='BottleneckInputPlaceholder') ground_truth_input = tf.placeholder(tf.float32, [None, class_count], name='GroundTruthInput') # Organizing the following ops as `final_training_ops` so they're easier # to see in TensorBoard layer_name = 'final_training_ops' with tf.name_scope(layer_name): with tf.name_scope('weights'): layer_weights = tf.Variable(tf.truncated_normal([BOTTLENECK_TENSOR_SIZE, class_count], stddev=0.001), name='final_weights') variable_summaries(layer_weights) with tf.name_scope('biases'): layer_biases = tf.Variable(tf.zeros([class_count]), name='final_biases') variable_summaries(layer_biases) with tf.name_scope('Wx_plus_b'): logits = tf.matmul(bottleneck_input, layer_weights) + layer_biases tf.summary.histogram('pre_activations', logits) final_tensor = tf.nn.softmax(logits, name=final_tensor_name) tf.summary.histogram('activations', final_tensor) with tf.name_scope('cross_entropy'): cross_entropy = tf.nn.softmax_cross_entropy_with_logits( labels=ground_truth_input, logits=logits) with tf.name_scope('total'): cross_entropy_mean = tf.reduce_mean(cross_entropy) tf.summary.scalar('cross_entropy', cross_entropy_mean) with tf.name_scope('train'): train_step = tf.train.GradientDescentOptimizer(FLAGS.learning_rate).minimize( cross_entropy_mean) return (train_step, cross_entropy_mean, bottleneck_input, ground_truth_input, final_tensor) def add_evaluation_step(result_tensor, ground_truth_tensor): """Inserts the operations we need to evaluate the accuracy of our results. Args: result_tensor: The new final node that produces results. ground_truth_tensor: The node we feed ground truth data into. Returns: Tuple of (evaluation step, prediction). """ with tf.name_scope('accuracy'): with tf.name_scope('correct_prediction'): prediction = tf.argmax(result_tensor, 1) correct_prediction = tf.equal( prediction, tf.argmax(ground_truth_tensor, 1)) with tf.name_scope('accuracy'): evaluation_step = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) tf.summary.scalar('accuracy', evaluation_step) return evaluation_step, prediction def main(_): # Setup the directory we'll write summaries to for TensorBoard if tf.gfile.Exists(FLAGS.summaries_dir): tf.gfile.DeleteRecursively(FLAGS.summaries_dir) tf.gfile.MakeDirs(FLAGS.summaries_dir) # Set up the pre-trained graph. maybe_download_and_extract() graph, bottleneck_tensor, jpeg_data_tensor, resized_image_tensor = ( create_inception_graph()) # Look at the folder structure, and create lists of all the images. image_lists = create_image_lists(FLAGS.image_dir, FLAGS.testing_percentage, FLAGS.validation_percentage) class_count = len(image_lists.keys()) if class_count == 0: print('No valid folders of images found at ' + FLAGS.image_dir) return -1 if class_count == 1: print('Only one valid folder of images found at ' + FLAGS.image_dir + ' - multiple classes are needed for classification.') return -1 # See if the command-line flags mean we're applying any distortions. do_distort_images = should_distort_images( FLAGS.flip_left_right, FLAGS.random_crop, FLAGS.random_scale, FLAGS.random_brightness) sess = tf.Session() if do_distort_images: # We will be applying distortions, so setup the operations we'll need. distorted_jpeg_data_tensor, distorted_image_tensor = add_input_distortions( FLAGS.flip_left_right, FLAGS.random_crop, FLAGS.random_scale, FLAGS.random_brightness) else: # We'll make sure we've calculated the 'bottleneck' image summaries and # cached them on disk. cache_bottlenecks(sess, image_lists, FLAGS.image_dir, FLAGS.bottleneck_dir, jpeg_data_tensor, bottleneck_tensor) # Add the new layer that we'll be training. (train_step, cross_entropy, bottleneck_input, ground_truth_input, final_tensor) = add_final_training_ops(len(image_lists.keys()), FLAGS.final_tensor_name, bottleneck_tensor) # Create the operations we need to evaluate the accuracy of our new layer. evaluation_step, prediction = add_evaluation_step( final_tensor, ground_truth_input) # Merge all the summaries and write them out to /tmp/retrain_logs (by default) merged = tf.summary.merge_all() train_writer = tf.summary.FileWriter(FLAGS.summaries_dir + '/train', sess.graph) validation_writer = tf.summary.FileWriter(FLAGS.summaries_dir + '/validation') # Set up all our weights to their initial default values. init = tf.global_variables_initializer() sess.run(init) # Run the training for as many cycles as requested on the command line. for i in range(FLAGS.how_many_training_steps): # Get a batch of input bottleneck values, either calculated fresh every time # with distortions applied, or from the cache stored on disk. if do_distort_images: train_bottlenecks, train_ground_truth = get_random_distorted_bottlenecks( sess, image_lists, FLAGS.train_batch_size, 'training', FLAGS.image_dir, distorted_jpeg_data_tensor, distorted_image_tensor, resized_image_tensor, bottleneck_tensor) else: train_bottlenecks, train_ground_truth, _ = get_random_cached_bottlenecks( sess, image_lists, FLAGS.train_batch_size, 'training', FLAGS.bottleneck_dir, FLAGS.image_dir, jpeg_data_tensor, bottleneck_tensor) # Feed the bottlenecks and ground truth into the graph, and run a training # step. Capture training summaries for TensorBoard with the `merged` op. train_summary, _ = sess.run([merged, train_step], feed_dict={bottleneck_input: train_bottlenecks, ground_truth_input: train_ground_truth}) train_writer.add_summary(train_summary, i) # Every so often, print out how well the graph is training. is_last_step = (i + 1 == FLAGS.how_many_training_steps) if (i % FLAGS.eval_step_interval) == 0 or is_last_step: train_accuracy, cross_entropy_value = sess.run( [evaluation_step, cross_entropy], feed_dict={bottleneck_input: train_bottlenecks, ground_truth_input: train_ground_truth}) print('%s: Step %d: Train accuracy = %.1f%%' % (datetime.now(), i, train_accuracy * 100)) print('%s: Step %d: Cross entropy = %f' % (datetime.now(), i, cross_entropy_value)) validation_bottlenecks, validation_ground_truth, _ = ( get_random_cached_bottlenecks( sess, image_lists, FLAGS.validation_batch_size, 'validation', FLAGS.bottleneck_dir, FLAGS.image_dir, jpeg_data_tensor, bottleneck_tensor)) # Run a validation step and capture training summaries for TensorBoard # with the `merged` op. validation_summary, validation_accuracy = sess.run( [merged, evaluation_step], feed_dict={bottleneck_input: validation_bottlenecks, ground_truth_input: validation_ground_truth}) validation_writer.add_summary(validation_summary, i) print('%s: Step %d: Validation accuracy = %.1f%% (N=%d)' % (datetime.now(), i, validation_accuracy * 100, len(validation_bottlenecks))) # We've completed all our training, so run a final test evaluation on # some new images we haven't used before. test_bottlenecks, test_ground_truth, test_filenames = ( get_random_cached_bottlenecks(sess, image_lists, FLAGS.test_batch_size, 'testing', FLAGS.bottleneck_dir, FLAGS.image_dir, jpeg_data_tensor, bottleneck_tensor)) test_accuracy, predictions = sess.run( [evaluation_step, prediction], feed_dict={bottleneck_input: test_bottlenecks, ground_truth_input: test_ground_truth}) print('Final test accuracy = %.1f%% (N=%d)' % ( test_accuracy * 100, len(test_bottlenecks))) if FLAGS.print_misclassified_test_images: print('=== MISCLASSIFIED TEST IMAGES ===') for i, test_filename in enumerate(test_filenames): if predictions[i] != test_ground_truth[i].argmax(): print('%70s %s' % (test_filename, list(image_lists.keys())[predictions[i]])) # Write out the trained graph and labels with the weights stored as constants. output_graph_def = graph_util.convert_variables_to_constants( sess, graph.as_graph_def(), [FLAGS.final_tensor_name]) with gfile.FastGFile(FLAGS.output_graph, 'wb') as f: f.write(output_graph_def.SerializeToString()) with gfile.FastGFile(FLAGS.output_labels, 'w') as f: f.write('\n'.join(image_lists.keys()) + '\n') if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument( '--image_dir', type=str, default='', help='Path to folders of labeled images.' ) parser.add_argument( '--output_graph', type=str, default='/tmp/output_graph.pb', help='Where to save the trained graph.' ) parser.add_argument( '--output_labels', type=str, default='/tmp/output_labels.txt', help='Where to save the trained graph\'s labels.' ) parser.add_argument( '--summaries_dir', type=str, default='/tmp/retrain_logs', help='Where to save summary logs for TensorBoard.' ) parser.add_argument( '--how_many_training_steps', type=int, default=4000, help='How many training steps to run before ending.' ) parser.add_argument( '--learning_rate', type=float, default=0.01, help='How large a learning rate to use when training.' ) parser.add_argument( '--testing_percentage', type=int, default=10, help='What percentage of images to use as a test set.' ) parser.add_argument( '--validation_percentage', type=int, default=10, help='What percentage of images to use as a validation set.' ) parser.add_argument( '--eval_step_interval', type=int, default=10, help='How often to evaluate the training results.' ) parser.add_argument( '--train_batch_size', type=int, default=100, help='How many images to train on at a time.' ) parser.add_argument( '--test_batch_size', type=int, default=-1, help="""\ How many images to test on. This test set is only used once, to evaluate the final accuracy of the model after training completes. A value of -1 causes the entire test set to be used, which leads to more stable results across runs.\ """ ) parser.add_argument( '--validation_batch_size', type=int, default=100, help="""\ How many images to use in an evaluation batch. This validation set is used much more often than the test set, and is an early indicator of how accurate the model is during training. A value of -1 causes the entire validation set to be used, which leads to more stable results across training iterations, but may be slower on large training sets.\ """ ) parser.add_argument( '--print_misclassified_test_images', default=False, help="""\ Whether to print out a list of all misclassified test images.\ """, action='store_true' ) parser.add_argument( '--model_dir', type=str, default='/tmp/imagenet', help="""\ Path to classify_image_graph_def.pb, imagenet_synset_to_human_label_map.txt, and imagenet_2012_challenge_label_map_proto.pbtxt.\ """ ) parser.add_argument( '--bottleneck_dir', type=str, default='/tmp/bottleneck', help='Path to cache bottleneck layer values as files.' ) parser.add_argument( '--final_tensor_name', type=str, default='final_result', help="""\ The name of the output classification layer in the retrained graph.\ """ ) parser.add_argument( '--flip_left_right', default=False, help="""\ Whether to randomly flip half of the training images horizontally.\ """, action='store_true' ) parser.add_argument( '--random_crop', type=int, default=0, help="""\ A percentage determining how much of a margin to randomly crop off the training images.\ """ ) parser.add_argument( '--random_scale', type=int, default=0, help="""\ A percentage determining how much to randomly scale up the size of the training images by.\ """ ) parser.add_argument( '--random_brightness', type=int, default=0, help="""\ A percentage determining how much to randomly multiply the training image input pixels up or down by.\ """ ) FLAGS, unparsed = parser.parse_known_args() tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)

apache-2.0

Velociraptor85/pyload

module/plugins/hoster/NovafileCom.py

8

1270

# -*- coding: utf-8 -*- # # Test links: # http://novafile.com/vfun4z6o2cit # http://novafile.com/s6zrr5wemuz4 from ..internal.XFSHoster import XFSHoster class NovafileCom(XFSHoster): __name__ = "NovafileCom" __type__ = "hoster" __version__ = "0.11" __status__ = "testing" __pattern__ = r'http://(?:www\.)?novafile\.com/\w{12}' __config__ = [("activated", "bool", "Activated", True), ("use_premium", "bool", "Use premium account if available", True), ("fallback", "bool", "Fallback to free download if premium fails", True), ("chk_filesize", "bool", "Check file size", True), ("max_wait", "int", "Reconnect if waiting time is greater than minutes", 10)] __description__ = """Novafile.com hoster plugin""" __license__ = "GPLv3" __authors__ = [("zoidberg", "zoidberg@mujmail.cz"), ("stickell", "l.stickell@yahoo.it")] PLUGIN_DOMAIN = "novafile.com" ERROR_PATTERN = r'class="alert.+?alert-separate".*?>\s*(?:<p>)?(.*?)\s*</' WAIT_PATTERN = r'<p>Please wait <span id="count".*?>(\d+)</span> seconds</p>' LINK_PATTERN = r'<a href="(http://s\d+\.novafile\.com/.*?)" class="btn btn-green">Download File</a>'

gpl-3.0

naturali/tensorflow

tensorflow/examples/skflow/iris_run_config.py

86

2087

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Example of DNNClassifier for Iris plant dataset, with run config.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from sklearn import cross_validation from sklearn import datasets from sklearn import metrics import tensorflow as tf def main(unused_argv): # Load dataset. iris = datasets.load_iris() x_train, x_test, y_train, y_test = cross_validation.train_test_split( iris.data, iris.target, test_size=0.2, random_state=42) # You can define you configurations by providing a RunConfig object to # estimator to control session configurations, e.g. num_cores # and gpu_memory_fraction run_config = tf.contrib.learn.estimators.RunConfig( num_cores=3, gpu_memory_fraction=0.6) # Build 3 layer DNN with 10, 20, 10 units respectively. feature_columns = tf.contrib.learn.infer_real_valued_columns_from_input( x_train) classifier = tf.contrib.learn.DNNClassifier(feature_columns=feature_columns, hidden_units=[10, 20, 10], n_classes=3, config=run_config) # Fit and predict. classifier.fit(x_train, y_train, steps=200) predictions = list(classifier.predict(x_test, as_iterable=True)) score = metrics.accuracy_score(y_test, predictions) print('Accuracy: {0:f}'.format(score)) if __name__ == '__main__': tf.app.run()

apache-2.0

googleapis/python-compute

google/cloud/compute_v1/services/target_instances/pagers.py

1

5740

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from typing import ( Any, AsyncIterable, Awaitable, Callable, Iterable, Sequence, Tuple, Optional, ) from google.cloud.compute_v1.types import compute class AggregatedListPager: """A pager for iterating through ``aggregated_list`` requests. This class thinly wraps an initial :class:`google.cloud.compute_v1.types.TargetInstanceAggregatedList` object, and provides an ``__iter__`` method to iterate through its ``items`` field. If there are more pages, the ``__iter__`` method will make additional ``AggregatedList`` requests and continue to iterate through the ``items`` field on the corresponding responses. All the usual :class:`google.cloud.compute_v1.types.TargetInstanceAggregatedList` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., compute.TargetInstanceAggregatedList], request: compute.AggregatedListTargetInstancesRequest, response: compute.TargetInstanceAggregatedList, *, metadata: Sequence[Tuple[str, str]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.compute_v1.types.AggregatedListTargetInstancesRequest): The initial request object. response (google.cloud.compute_v1.types.TargetInstanceAggregatedList): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = compute.AggregatedListTargetInstancesRequest(request) self._response = response self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterable[compute.TargetInstanceAggregatedList]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method(self._request, metadata=self._metadata) yield self._response def __iter__(self) -> Iterable[Tuple[str, compute.TargetInstancesScopedList]]: for page in self.pages: yield from page.items.items() def get(self, key: str) -> Optional[compute.TargetInstancesScopedList]: return self._response.items.get(key) def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListPager: """A pager for iterating through ``list`` requests. This class thinly wraps an initial :class:`google.cloud.compute_v1.types.TargetInstanceList` object, and provides an ``__iter__`` method to iterate through its ``items`` field. If there are more pages, the ``__iter__`` method will make additional ``List`` requests and continue to iterate through the ``items`` field on the corresponding responses. All the usual :class:`google.cloud.compute_v1.types.TargetInstanceList` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., compute.TargetInstanceList], request: compute.ListTargetInstancesRequest, response: compute.TargetInstanceList, *, metadata: Sequence[Tuple[str, str]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.compute_v1.types.ListTargetInstancesRequest): The initial request object. response (google.cloud.compute_v1.types.TargetInstanceList): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = compute.ListTargetInstancesRequest(request) self._response = response self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterable[compute.TargetInstanceList]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method(self._request, metadata=self._metadata) yield self._response def __iter__(self) -> Iterable[compute.TargetInstance]: for page in self.pages: yield from page.items def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)

apache-2.0