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Check out our new site Makeup Addiction
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WHY THE FUCK Do I watch sportscenter all day? | {
"pile_set_name": "OpenWebText2"
} | 0.023504 |
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"pile_set_name": "OpenWebText2"
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"pile_set_name": "Pile-CC"
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"pile_set_name": "OpenWebText2"
} | 0.02226 |
The present invention relates to a semiconductor memory including a so-called “differential-type cell” with two bit cells for storing opposite logic states to each other, respectively, for amplifying a difference between data stored in one of the bit cells and data stored in the other and outputting the amplified difference as readout data.
Recently, with reduction in the size of fabrication processes, the thickness of transistor oxide films has been reduced more and more. Because of this, in a known memory cell, a leakage voltage and the like are generated in a gate oxide film of an MOS transistor and, due to the leakage voltage and the like, data holding properties are deteriorated. In a data determination method in which data determination is performed by comparing a voltage stored in a memory cell to a threshold voltage, it is difficult to suppress reduction in reliability resulting from the reduction in the size of fabrication processes.
To cope with this problem, a so-called “differential-type cell” including two bit cells and a differential amplifier has been already devised (see Japanese Laid-Open Publication No. 3-120759). In a data write operation, different data indicating opposite logic states to each other are stored in the two bit cells, respectively, for example, according to the levels of respective threshold voltages of the bit cells. On the other hand, in a readout operation, the differential amplifier reads respective potentials of the two bit cells and a difference between the potentials is amplified and then output as readout data.
The differential-type cell is less influenced by a leakage of electric charges, compared to the data determination method in which data determination is performed by comparing a stored voltage in a memory cell to a threshold, so that a large noise margin can be provided. Therefore, a semiconductor memory with excellent data holding properties can be achieved. | {
"pile_set_name": "USPTO Backgrounds"
} | 0 |
Enhancement of pH stability and activity of glycerol dehydratase from Klebsiella pneumoniae by rational design.
Glycerol dehydratase (GDHt) is a key and rate-limiting enzyme in the pathway of 1,3-propanediol (1,3-PD) synthesis. The improvement of GDHt's stability and enzymatic activity is desirable for the biosynthesis of 1,3-PD. The gldABC gene encoding GDHt of Klebsiella pneumoniae was cloned and expressed in Escherichia coli XL10-Gold, and the mutation sites of GDHt were obtained through prediction by PoPMuSiC program. Consequently, two mutants (KpG60 and KpG525) were developed by rational design through site-mutagenesis based on 3D structure which was constructed from homology modeling. Analyses of enzymatic properties showed that pH stability of the mutants was about 1.25-2 times higher than that of the wild type, and specific activity, V(max) and K(cat)/K(m) of KpG525 were about 1.5-2 times higher than those of the wild type. This work presented a simple and useful measure to improve the performance of industrial enzyme. | {
"pile_set_name": "PubMed Abstracts"
} | 0 |
Q:
How to implement bulk mailing using windows service on a schedule basis?
I've a requirement in which i need to send 10000+ mails on a quarterly basis. For this purpose i used a windows service that triggers every day and executes the mailing functionality only after the third month. I've to fetch last three months records from database and need to send one mail for each record.
The problem i faced was the mail server i used do not allow bulk mailing.
How can i do this effectively by providing a delay between each sent (20 mails per minute)?
A:
There are many way to archieve this. We once had a similar requirement and solved it via a home grown service, which would fetch items from a special database table (mail queue) and sent each mail individially. The queue is filled over time by regular business logic. The necessary locking can also be done via db: a SCHEDULE column stores the expected scheduled time of sending the mail. That way the service collects only those mails wich are 'ready' for sending. After successfull send, another column (SENT_TIMESTAMP) is used to mark the success.
We implemented the whole service in ASP and triggered it via regular Windows Task Planner jobs. In your case, the service would start every minute and the queue would provide the next 20 mails. An even easier way could be to utilize SQL Server Jobs. SQL Server is capable of delivering mails to a local SMTP server as well.
If not done yet, please note that SO question as well: What is the best way to send large batches of emails in ASP.NET?
| {
"pile_set_name": "StackExchange"
} | 0 |
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"pile_set_name": "Pile-CC"
} | 0.039039 |
[Characterization of the Laryngeal Adductor Reflex by Stimulation with Microdroplets Impulses (Microdroplet Impulse Testing)].
The larynx is considered a crossing point between breathing and swallowing pathways. During swallowing, the airway below the glottis must be protected against food components by an appropriate laryngeal closure mechanism. The laryngeal adductor reflex (LAR) with an early, probably di- or oligosynaptic interconnected ipsilateral LAR1- and a late ipsilateral and contralateral LAR2 polysynaptic component is believed to serve as such a mechanism. Here we aimed to measure and characterize the LAR in healthy volunteers and to compare the data obtained with previously published data. We designed a prospective pilot study. 10 healthy volunteers (22-57 years) participated. To elicit the LAR we used a newly designed microdroplet impulse testing (MIT) device: very small waterdroplets were shot onto the endolaryngeal mucosa. By simultaneously observing the anatomical structures with a high speed glottography system, the time between impact of the microdroplet on the mucosa and the beginning of the adduction movement and thus an approximate value for the reflex latency could be determined. An early adduction movement corresponding to LAR1 could not be detected. The measured LAR2 latency time was higher than the EMG LAR2 data. No significant latency difference between right and left stimulation was found. Since we were unable to demonstrate any LAR1 component it may be that muscle activity observable by EMG may not be sufficient to lead to a visible medial vocal cord movement. The longer LAR2 latency compared to EMG data may be explained by the fact that the visually vocal cord movement occurs after a delay although muscle activity already started as evidenced by EMG.Further studies on LAR are warranted, especially since our results also raise questions about the clinical significance of the LAR. | {
"pile_set_name": "PubMed Abstracts"
} | 0 |
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"pile_set_name": "OpenWebText2"
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"pile_set_name": "OpenWebText2"
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sci-hub to open science
Glaeser, E. L., & Luttmer, E. F. P. (2003). The Misallocation of Housing Under Rent Control. American Economic Review, 93(4), 1027–1046. doi:10.1257/000282803769206188
sci-hub.se/10.1257/000282803769206188 url to share this paper:
to make knowledge free.
support → Sci-Hub is a projectto make knowledge free. | {
"pile_set_name": "OpenWebText2"
} | 0 |
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#!/usr/bin/env python
# Copyright (c) 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Parser for Web IDL."""
#
# IDL Parser
#
# The parser uses the PLY yacc library to build a set of parsing rules based
# on Web IDL.
#
# Web IDL, and Web IDL grammar can be found at:
# http://heycam.github.io/webidl/
# PLY can be found at:
# http://www.dabeaz.com/ply/
#
# The parser generates a tree by recursively matching sets of items against
# defined patterns. When a match is made, that set of items is reduced
# to a new item. The new item can provide a match for parent patterns.
# In this way an AST is built (reduced) depth first.
#
#
# Disable check for line length and Member as Function due to how grammar rules
# are defined with PLY
#
# pylint: disable=R0201
# pylint: disable=C0301
from __future__ import print_function
import os.path
import sys
import time
# Can't use relative imports if we don't have a parent package.
if __package__:
from .idl_lexer import IDLLexer
from .idl_node import IDLAttribute, IDLNode
else:
from idl_lexer import IDLLexer
from idl_node import IDLAttribute, IDLNode
SRC_DIR = os.path.abspath(os.path.dirname(__file__))
# Preserve sys.path[0] as is.
# https://docs.python.org/3/library/sys.html?highlight=path[0]#sys.path
sys.path.insert(1, os.path.join(SRC_DIR, os.pardir, os.pardir, 'third_party'))
from ply import lex
from ply import yacc
#
# ERROR_REMAP
#
# Maps the standard error formula into a more friendly error message.
#
ERROR_REMAP = {
'Unexpected ")" after "(".' : 'Empty argument list.',
'Unexpected ")" after ",".' : 'Missing argument.',
'Unexpected "}" after ",".' : 'Trailing comma in block.',
'Unexpected "}" after "{".' : 'Unexpected empty block.',
'Unexpected comment after "}".' : 'Unexpected trailing comment.',
'Unexpected "{" after keyword "enum".' : 'Enum missing name.',
'Unexpected "{" after keyword "struct".' : 'Struct missing name.',
'Unexpected "{" after keyword "interface".' : 'Interface missing name.',
}
_EXTENDED_ATTRIBUTES_APPLICABLE_TO_TYPES = [
'Clamp', 'EnforceRange', 'StringContext', 'TreatNullAs']
def Boolean(val):
"""Convert to strict boolean type."""
if val:
return True
return False
def ListFromConcat(*items):
"""Generate list by concatenating inputs"""
itemsout = []
for item in items:
if item is None:
continue
if type(item) is not type([]):
itemsout.append(item)
else:
itemsout.extend(item)
return itemsout
def ExpandProduction(p):
if type(p) == list:
return '[' + ', '.join([ExpandProduction(x) for x in p]) + ']'
if type(p) == IDLNode:
return 'Node:' + str(p)
if type(p) == IDLAttribute:
return 'Attr:' + str(p)
if type(p) == str:
return 'str:' + p
return '%s:%s' % (p.__class__.__name__, str(p))
# TokenTypeName
#
# Generate a string which has the type and value of the token.
#
def TokenTypeName(t):
if t.type == 'SYMBOL':
return 'symbol %s' % t.value
if t.type in ['HEX', 'INT', 'OCT', 'FLOAT']:
return 'value %s' % t.value
if t.type == 'string' :
return 'string "%s"' % t.value
if t.type == 'SPECIAL_COMMENT':
return 'comment'
if t.type == t.value:
return '"%s"' % t.value
if t.type == ',':
return 'Comma'
if t.type == 'identifier':
return 'identifier "%s"' % t.value
return 'keyword "%s"' % t.value
# TODO(bashi): Consider moving this out of idl_parser.
def ExtractSpecialComment(comment):
if not comment.startswith('/**'):
raise ValueError('Special comment must start with /**')
if not comment.endswith('*/'):
raise ValueError('Special comment must end with */')
# Remove comment markers
lines = []
for line in comment[2:-2].split('\n'):
# Remove characters until start marker for this line '*' if found
# otherwise it will be blank.
offs = line.find('*')
if offs >= 0:
line = line[offs + 1:].rstrip()
else:
# TODO(bashi): We may want to keep |line| as is.
line = ''
lines.append(line)
return '\n'.join(lines)
# There are two groups of ExtendedAttributes.
# One group can apply to types (It is said "applicable to types"),
# but the other cannot apply to types.
# This function is intended to divide ExtendedAttributes into those 2 groups.
# For more details at
# https://heycam.github.io/webidl/#extended-attributes-applicable-to-types
def DivideExtAttrsIntoApplicableAndNonApplicable(extended_attribute_list):
if not extended_attribute_list:
return [[], []]
else:
applicable_to_types = []
non_applicable_to_types = []
for ext_attribute in extended_attribute_list.GetChildren():
if ext_attribute.GetName() in _EXTENDED_ATTRIBUTES_APPLICABLE_TO_TYPES:
applicable_to_types.append(ext_attribute)
else:
non_applicable_to_types.append(ext_attribute)
return [applicable_to_types, non_applicable_to_types]
#
# IDL Parser
#
# The Parser inherits the from the Lexer to provide PLY with the tokenizing
# definitions. Parsing patterns are encoded as functions where p_<name> is
# is called any time a patern matching the function documentation is found.
# Paterns are expressed in the form of:
# """ <new item> : <item> ....
# | <item> ...."""
#
# Where new item is the result of a match against one or more sets of items
# separated by the "|".
#
# The function is called with an object 'p' where p[0] is the output object
# and p[n] is the set of inputs for positive values of 'n'. Len(p) can be
# used to distinguish between multiple item sets in the pattern.
#
# The rules can look cryptic at first, but there are a few standard
# transforms from the CST to AST. With these in mind, the actions should
# be reasonably legible.
#
# * Ignore production
# Discard this branch. Primarily used when one alternative is empty.
#
# Sample code:
# if len(p) > 1:
# p[0] = ...
# # Note no assignment if len(p) == 1
#
# * Eliminate singleton production
# Discard this node in the CST, pass the next level down up the tree.
# Used to ignore productions only necessary for parsing, but not needed
# in the AST.
#
# Sample code:
# p[0] = p[1]
#
# * Build node
# The key type of rule. In this parser, produces object of class IDLNode.
# There are several helper functions:
# * BuildProduction: actually builds an IDLNode, based on a production.
# * BuildAttribute: builds an IDLAttribute, which is a temporary
# object to hold a name-value pair, which is then
# set as a Property of the IDLNode when the IDLNode
# is built.
# * BuildNamed: Same as BuildProduction, and sets the 'NAME' property.
# * BuildTrue: BuildAttribute with value True, for flags.
#
# Sample code:
# # Build node of type NodeType, with value p[1], and children.
# p[0] = self.BuildProduction('NodeType', p, 1, children)
#
# # Build named node of type NodeType, with name and value p[1].
# # (children optional)
# p[0] = self.BuildNamed('NodeType', p, 1)
#
# # Make a list
# # Used if one node has several children.
# children = ListFromConcat(p[2], p[3])
# p[0] = self.BuildProduction('NodeType', p, 1, children)
#
# # Also used to collapse the right-associative tree
# # produced by parsing a list back into a single list.
# """Foos : Foo Foos
# |"""
# if len(p) > 1:
# p[0] = ListFromConcat(p[1], p[2])
#
# # Add children.
# # Primarily used to add attributes, produced via BuildTrue.
# # p_StaticAttribute
# """StaticAttribute : STATIC Attribute"""
# p[2].AddChildren(self.BuildTrue('STATIC'))
# p[0] = p[2]
#
# For more details on parsing refer to the PLY documentation at
# http://www.dabeaz.com/ply/
#
# The parser is based on the Web IDL standard. See:
# http://heycam.github.io/webidl/#idl-grammar
#
# Productions with a fractional component in the comment denote additions to
# the Web IDL spec, such as allowing string list in extended attributes.
class IDLParser(object):
def p_Definitions(self, p):
"""Definitions : SpecialComments ExtendedAttributeList Definition Definitions
| ExtendedAttributeList Definition Definitions
| """
if len(p) > 4:
special_comments_and_attribs = ListFromConcat(p[1], p[2])
p[3].AddChildren(special_comments_and_attribs)
p[0] = ListFromConcat(p[3], p[4])
elif len(p) > 1:
p[2].AddChildren(p[1])
p[0] = ListFromConcat(p[2], p[3])
def p_Definition(self, p):
"""Definition : CallbackOrInterfaceOrMixin
| Namespace
| Partial
| Dictionary
| Enum
| Typedef
| IncludesStatement"""
p[0] = p[1]
# Error recovery for definition
def p_DefinitionError(self, p):
"""Definition : error ';'"""
p[0] = self.BuildError(p, 'Definition')
def p_ArgumentNameKeyword(self, p):
"""ArgumentNameKeyword : ASYNC
| ATTRIBUTE
| CALLBACK
| CONST
| CONSTRUCTOR
| DELETER
| DICTIONARY
| ENUM
| GETTER
| INCLUDES
| INHERIT
| INTERFACE
| ITERABLE
| MAPLIKE
| NAMESPACE
| PARTIAL
| REQUIRED
| SETLIKE
| SETTER
| STATIC
| STRINGIFIER
| TYPEDEF
| UNRESTRICTED"""
p[0] = p[1]
def p_CallbackOrInterfaceOrMixin(self, p):
"""CallbackOrInterfaceOrMixin : CALLBACK CallbackRestOrInterface
| INTERFACE InterfaceOrMixin"""
p[0] = p[2]
def p_InterfaceOrMixin(self, p):
"""InterfaceOrMixin : InterfaceRest
| MixinRest"""
p[0] = p[1]
def p_InterfaceRest(self, p):
"""InterfaceRest : identifier Inheritance '{' InterfaceMembers '}' ';'"""
p[0] = self.BuildNamed('Interface', p, 1, ListFromConcat(p[2], p[4]))
# Error recovery for interface.
def p_InterfaceRestError(self, p):
"""InterfaceRest : identifier Inheritance '{' error"""
p[0] = self.BuildError(p, 'Interface')
def p_Partial(self, p):
"""Partial : PARTIAL PartialDefinition"""
p[2].AddChildren(self.BuildTrue('PARTIAL'))
p[0] = p[2]
# Error recovery for Partial
def p_PartialError(self, p):
"""Partial : PARTIAL error"""
p[0] = self.BuildError(p, 'Partial')
def p_PartialDefinition(self, p):
"""PartialDefinition : INTERFACE PartialInterfaceOrPartialMixin
| PartialDictionary
| Namespace"""
if len(p) > 2:
p[0] = p[2]
else:
p[0] = p[1]
def p_PartialInterfaceOrPartialMixin(self, p):
"""PartialInterfaceOrPartialMixin : PartialInterfaceRest
| MixinRest"""
p[0] = p[1]
def p_PartialInterfaceRest(self, p):
"""PartialInterfaceRest : identifier '{' PartialInterfaceMembers '}' ';'"""
p[0] = self.BuildNamed('Interface', p, 1, p[3])
def p_InterfaceMembers(self, p):
"""InterfaceMembers : ExtendedAttributeList InterfaceMember InterfaceMembers
|"""
if len(p) > 1:
p[2].AddChildren(p[1])
p[0] = ListFromConcat(p[2], p[3])
# Error recovery for InterfaceMembers
def p_InterfaceMembersError(self, p):
"""InterfaceMembers : error"""
p[0] = self.BuildError(p, 'InterfaceMembers')
def p_InterfaceMember(self, p):
"""InterfaceMember : PartialInterfaceMember
| Constructor"""
p[0] = p[1]
def p_PartialInterfaceMembers(self, p):
"""PartialInterfaceMembers : ExtendedAttributeList PartialInterfaceMember PartialInterfaceMembers
|"""
if len(p) > 1:
p[2].AddChildren(p[1])
p[0] = ListFromConcat(p[2], p[3])
# Error recovery for InterfaceMembers
def p_PartialInterfaceMembersError(self, p):
"""PartialInterfaceMembers : error"""
p[0] = self.BuildError(p, 'PartialInterfaceMembers')
def p_PartialInterfaceMember(self, p):
"""PartialInterfaceMember : Const
| Operation
| Stringifier
| StaticMember
| Iterable
| AsyncIterable
| ReadonlyMember
| ReadWriteAttribute
| ReadWriteMaplike
| ReadWriteSetlike"""
p[0] = p[1]
def p_Inheritance(self, p):
"""Inheritance : ':' identifier
|"""
if len(p) > 1:
p[0] = self.BuildNamed('Inherit', p, 2)
def p_MixinRest(self, p):
"""MixinRest : MIXIN identifier '{' MixinMembers '}' ';'"""
p[0] = self.BuildNamed('Interface', p, 2, p[4])
p[0].AddChildren(self.BuildTrue('MIXIN'))
def p_MixinMembers(self, p):
"""MixinMembers : ExtendedAttributeList MixinMember MixinMembers
|"""
if len(p) > 1:
p[2].AddChildren(p[1])
p[0] = ListFromConcat(p[2], p[3])
# Error recovery for InterfaceMembers
def p_MixinMembersError(self, p):
"""MixinMembers : error"""
p[0] = self.BuildError(p, 'MixinMembers')
def p_MixinMember(self, p):
"""MixinMember : Const
| Operation
| Stringifier
| ReadOnly AttributeRest"""
if len(p) == 2:
p[0] = p[1]
else:
p[2].AddChildren(p[1])
p[0] = p[2]
def p_IncludesStatement(self, p):
"""IncludesStatement : identifier INCLUDES identifier ';'"""
name = self.BuildAttribute('REFERENCE', p[3])
p[0] = self.BuildNamed('Includes', p, 1, name)
def p_CallbackRestOrInterface(self, p):
"""CallbackRestOrInterface : CallbackRest
| INTERFACE InterfaceRest"""
if len(p) < 3:
p[0] = p[1]
else:
p[2].AddChildren(self.BuildTrue('CALLBACK'))
p[0] = p[2]
def p_Const(self, p):
"""Const : CONST ConstType identifier '=' ConstValue ';'"""
value = self.BuildProduction('Value', p, 5, p[5])
p[0] = self.BuildNamed('Const', p, 3, ListFromConcat(p[2], value))
def p_ConstValue(self, p):
"""ConstValue : BooleanLiteral
| FloatLiteral
| integer"""
if type(p[1]) == str:
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'integer'),
self.BuildAttribute('VALUE', p[1]))
else:
p[0] = p[1]
def p_BooleanLiteral(self, p):
"""BooleanLiteral : TRUE
| FALSE"""
value = self.BuildAttribute('VALUE', Boolean(p[1] == 'true'))
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'boolean'), value)
def p_FloatLiteral(self, p):
"""FloatLiteral : float
| '-' INFINITY
| INFINITY
| NAN """
if len(p) > 2:
val = '-Infinity'
else:
val = p[1]
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'float'),
self.BuildAttribute('VALUE', val))
def p_ConstType(self, p):
"""ConstType : PrimitiveType Null
| identifier Null"""
if type(p[1]) == str:
p[0] = self.BuildNamed('Typeref', p, 1, p[2])
else:
p[1].AddChildren(p[2])
p[0] = p[1]
def p_ReadonlyMember(self, p):
"""ReadonlyMember : READONLY ReadonlyMemberRest"""
p[2].AddChildren(self.BuildTrue('READONLY'))
p[0] = p[2]
def p_ReadonlyMemberRest(self, p):
"""ReadonlyMemberRest : AttributeRest
| MaplikeRest
| SetlikeRest"""
p[0] = p[1]
def p_ReadWriteAttribute(self, p):
"""ReadWriteAttribute : INHERIT ReadOnly AttributeRest
| AttributeRest"""
if len(p) > 2:
inherit = self.BuildTrue('INHERIT')
p[3].AddChildren(ListFromConcat(inherit, p[2]))
p[0] = p[3]
else:
p[0] = p[1]
def p_AttributeRest(self, p):
"""AttributeRest : ATTRIBUTE TypeWithExtendedAttributes AttributeName ';'"""
p[0] = self.BuildNamed('Attribute', p, 3, p[2])
def p_AttributeName(self, p):
"""AttributeName : AttributeNameKeyword
| identifier"""
p[0] = p[1]
def p_AttributeNameKeyword(self, p):
"""AttributeNameKeyword : ASYNC
| REQUIRED"""
p[0] = p[1]
def p_ReadOnly(self, p):
"""ReadOnly : READONLY
|"""
if len(p) > 1:
p[0] = self.BuildTrue('READONLY')
def p_DefaultValue(self, p):
"""DefaultValue : ConstValue
| string
| '[' ']'
| '{' '}'
| null"""
if len(p) == 3:
if p[1] == '[':
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'sequence'),
self.BuildAttribute('VALUE', '[]'))
else:
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'dictionary'),
self.BuildAttribute('VALUE', '{}'))
elif type(p[1]) == str:
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'DOMString'),
self.BuildAttribute('VALUE', p[1]))
else:
p[0] = p[1]
def p_Operation(self, p):
"""Operation : RegularOperation
| SpecialOperation"""
p[0] = p[1]
def p_RegularOperation(self, p):
"""RegularOperation : ReturnType OperationRest"""
p[2].AddChildren(p[1])
p[0] = p[2]
def p_SpecialOperation(self, p):
"""SpecialOperation : Special RegularOperation"""
p[2].AddChildren(p[1])
p[0] = p[2]
def p_Special(self, p):
"""Special : GETTER
| SETTER
| DELETER"""
p[0] = self.BuildTrue(p[1].upper())
def p_OperationRest(self, p):
"""OperationRest : OptionalOperationName '(' ArgumentList ')' ';'"""
arguments = self.BuildProduction('Arguments', p, 2, p[3])
p[0] = self.BuildNamed('Operation', p, 1, arguments)
def p_OptionalOperationName(self, p):
"""OptionalOperationName : OperationName
|"""
if len(p) > 1:
p[0] = p[1]
else:
p[0] = ''
def p_OperationName(self, p):
"""OperationName : OperationNameKeyword
| identifier"""
p[0] = p[1]
def p_OperationNameKeyword(self, p):
"""OperationNameKeyword : INCLUDES"""
p[0] = p[1]
def p_ArgumentList(self, p):
"""ArgumentList : Argument Arguments
|"""
if len(p) > 1:
p[0] = ListFromConcat(p[1], p[2])
# ArgumentList error recovery
def p_ArgumentListError(self, p):
"""ArgumentList : error """
p[0] = self.BuildError(p, 'ArgumentList')
def p_Arguments(self, p):
"""Arguments : ',' Argument Arguments
|"""
if len(p) > 1:
p[0] = ListFromConcat(p[2], p[3])
# Arguments error recovery
def p_ArgumentsError(self, p):
"""Arguments : ',' error"""
p[0] = self.BuildError(p, 'Arguments')
def p_Argument(self, p):
"""Argument : ExtendedAttributeList OPTIONAL TypeWithExtendedAttributes ArgumentName Default
| ExtendedAttributeList Type Ellipsis ArgumentName"""
if len(p) > 5:
p[0] = self.BuildNamed('Argument', p, 4, ListFromConcat(p[3], p[5]))
p[0].AddChildren(self.BuildTrue('OPTIONAL'))
p[0].AddChildren(p[1])
else:
applicable_to_types, non_applicable_to_types = \
DivideExtAttrsIntoApplicableAndNonApplicable(p[1])
if applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
applicable_to_types)
p[2].AddChildren(attributes)
p[0] = self.BuildNamed('Argument', p, 4, ListFromConcat(p[2], p[3]))
if non_applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
non_applicable_to_types)
p[0].AddChildren(attributes)
def p_ArgumentName(self, p):
"""ArgumentName : ArgumentNameKeyword
| identifier"""
p[0] = p[1]
def p_Ellipsis(self, p):
"""Ellipsis : ELLIPSIS
|"""
if len(p) > 1:
p[0] = self.BuildNamed('Argument', p, 1)
p[0].AddChildren(self.BuildTrue('ELLIPSIS'))
def p_ReturnType(self, p):
"""ReturnType : Type
| VOID"""
if p[1] == 'void':
p[0] = self.BuildProduction('Type', p, 1)
p[0].AddChildren(self.BuildNamed('PrimitiveType', p, 1))
else:
p[0] = p[1]
def p_Constructor(self, p):
"""Constructor : CONSTRUCTOR '(' ArgumentList ')' ';'"""
arguments = self.BuildProduction('Arguments', p, 1, p[3])
p[0] = self.BuildProduction('Constructor', p, 1, arguments)
def p_Stringifier(self, p):
"""Stringifier : STRINGIFIER StringifierRest"""
p[0] = self.BuildProduction('Stringifier', p, 1, p[2])
def p_StringifierRest(self, p):
"""StringifierRest : ReadOnly AttributeRest
| ReturnType OperationRest
| ';'"""
if len(p) == 3:
p[2].AddChildren(p[1])
p[0] = p[2]
def p_StaticMember(self, p):
"""StaticMember : STATIC StaticMemberRest"""
p[2].AddChildren(self.BuildTrue('STATIC'))
p[0] = p[2]
def p_StaticMemberRest(self, p):
"""StaticMemberRest : ReadOnly AttributeRest
| ReturnType OperationRest"""
if len(p) == 2:
p[0] = p[1]
else:
p[2].AddChildren(p[1])
p[0] = p[2]
def p_Iterable(self, p):
"""Iterable : ITERABLE '<' TypeWithExtendedAttributes OptionalType '>' ';'"""
childlist = ListFromConcat(p[3], p[4])
p[0] = self.BuildProduction('Iterable', p, 2, childlist)
def p_OptionalType(self, p):
"""OptionalType : ',' TypeWithExtendedAttributes
|"""
if len(p) > 1:
p[0] = p[2]
def p_AsyncIterable(self, p):
"""AsyncIterable : ASYNC ITERABLE '<' TypeWithExtendedAttributes ',' TypeWithExtendedAttributes '>' ';'"""
childlist = ListFromConcat(p[4], p[6])
p[0] = self.BuildProduction('AsyncIterable', p, 2, childlist)
def p_ReadWriteMaplike(self, p):
"""ReadWriteMaplike : MaplikeRest"""
p[0] = p[1]
def p_MaplikeRest(self, p):
"""MaplikeRest : MAPLIKE '<' TypeWithExtendedAttributes ',' TypeWithExtendedAttributes '>' ';'"""
childlist = ListFromConcat(p[3], p[5])
p[0] = self.BuildProduction('Maplike', p, 2, childlist)
def p_ReadWriteSetlike(self, p):
"""ReadWriteSetlike : SetlikeRest"""
p[0] = p[1]
def p_SetlikeRest(self, p):
"""SetlikeRest : SETLIKE '<' TypeWithExtendedAttributes '>' ';'"""
p[0] = self.BuildProduction('Setlike', p, 2, p[3])
def p_Namespace(self, p):
"""Namespace : NAMESPACE identifier '{' NamespaceMembers '}' ';'"""
p[0] = self.BuildNamed('Namespace', p, 2, p[4])
# Error recovery for namespace.
def p_NamespaceError(self, p):
"""Namespace : NAMESPACE identifier '{' error"""
p[0] = self.BuildError(p, 'Namespace')
def p_NamespaceMembers(self, p):
"""NamespaceMembers : NamespaceMember NamespaceMembers
| """
if len(p) > 1:
p[0] = ListFromConcat(p[1], p[2])
# Error recovery for NamespaceMembers
def p_NamespaceMembersError(self, p):
"""NamespaceMembers : ExtendedAttributeList error"""
p[0] = self.BuildError(p, 'NamespaceMembers')
def p_NamespaceMember(self, p):
"""NamespaceMember : ExtendedAttributeList ReturnType OperationRest
| ExtendedAttributeList READONLY AttributeRest"""
if p[2] != 'readonly':
applicable_to_types, non_applicable_to_types = \
DivideExtAttrsIntoApplicableAndNonApplicable(p[1])
if applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
applicable_to_types)
p[2].AddChildren(attributes)
p[3].AddChildren(p[2])
if non_applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
non_applicable_to_types)
p[3].AddChildren(attributes)
else:
p[3].AddChildren(self.BuildTrue('READONLY'))
p[3].AddChildren(p[1])
p[0] = p[3]
def p_Dictionary(self, p):
"""Dictionary : DICTIONARY identifier Inheritance '{' DictionaryMembers '}' ';'"""
p[0] = self.BuildNamed('Dictionary', p, 2, ListFromConcat(p[3], p[5]))
# Error recovery for regular Dictionary
def p_DictionaryError(self, p):
"""Dictionary : DICTIONARY error ';'"""
p[0] = self.BuildError(p, 'Dictionary')
# Error recovery for regular Dictionary
# (for errors inside dictionary definition)
def p_DictionaryError2(self, p):
"""Dictionary : DICTIONARY identifier Inheritance '{' error"""
p[0] = self.BuildError(p, 'Dictionary')
def p_DictionaryMembers(self, p):
"""DictionaryMembers : DictionaryMember DictionaryMembers
|"""
if len(p) > 1:
p[0] = ListFromConcat(p[1], p[2])
# Error recovery for DictionaryMembers
def p_DictionaryMembersError(self, p):
"""DictionaryMembers : ExtendedAttributeList error"""
p[0] = self.BuildError(p, 'DictionaryMembers')
def p_DictionaryMember(self, p):
"""DictionaryMember : ExtendedAttributeList REQUIRED TypeWithExtendedAttributes identifier Default ';'
| ExtendedAttributeList Type identifier Default ';'"""
if len(p) > 6:
p[2] = self.BuildTrue('REQUIRED')
p[0] = self.BuildNamed('Key', p, 4, ListFromConcat(p[2], p[3], p[5]))
p[0].AddChildren(p[1])
else:
applicable_to_types, non_applicable_to_types = \
DivideExtAttrsIntoApplicableAndNonApplicable(p[1])
if applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
applicable_to_types)
p[2].AddChildren(attributes)
p[0] = self.BuildNamed('Key', p, 3, ListFromConcat(p[2], p[4]))
if non_applicable_to_types:
attributes = self.BuildProduction('ExtAttributes', p, 1,
non_applicable_to_types)
p[0].AddChildren(attributes)
def p_PartialDictionary(self, p):
"""PartialDictionary : DICTIONARY identifier '{' DictionaryMembers '}' ';'"""
p[0] = self.BuildNamed('Dictionary', p, 2, p[4])
# Error recovery for Partial Dictionary
def p_PartialDictionaryError(self, p):
"""PartialDictionary : DICTIONARY error ';'"""
p[0] = self.BuildError(p, 'PartialDictionary')
def p_Default(self, p):
"""Default : '=' DefaultValue
|"""
if len(p) > 1:
p[0] = self.BuildProduction('Default', p, 2, p[2])
def p_Enum(self, p):
"""Enum : ENUM identifier '{' EnumValueList '}' ';'"""
p[0] = self.BuildNamed('Enum', p, 2, p[4])
# Error recovery for Enums
def p_EnumError(self, p):
"""Enum : ENUM error ';'"""
p[0] = self.BuildError(p, 'Enum')
def p_EnumValueList(self, p):
"""EnumValueList : string EnumValueListComma"""
enum = self.BuildNamed('EnumItem', p, 1)
p[0] = ListFromConcat(enum, p[2])
def p_EnumValueListComma(self, p):
"""EnumValueListComma : ',' EnumValueListString
|"""
if len(p) > 1:
p[0] = p[2]
def p_EnumValueListString(self, p):
"""EnumValueListString : string EnumValueListComma
|"""
if len(p) > 1:
enum = self.BuildNamed('EnumItem', p, 1)
p[0] = ListFromConcat(enum, p[2])
def p_CallbackRest(self, p):
"""CallbackRest : identifier '=' ReturnType '(' ArgumentList ')' ';'"""
arguments = self.BuildProduction('Arguments', p, 4, p[5])
p[0] = self.BuildNamed('Callback', p, 1, ListFromConcat(p[3], arguments))
def p_Typedef(self, p):
"""Typedef : TYPEDEF TypeWithExtendedAttributes identifier ';'"""
p[0] = self.BuildNamed('Typedef', p, 3, p[2])
# Error recovery for Typedefs
def p_TypedefError(self, p):
"""Typedef : TYPEDEF error ';'"""
p[0] = self.BuildError(p, 'Typedef')
def p_Type(self, p):
"""Type : SingleType
| UnionType Null"""
if len(p) == 2:
p[0] = self.BuildProduction('Type', p, 1, p[1])
else:
p[0] = self.BuildProduction('Type', p, 1, ListFromConcat(p[1], p[2]))
def p_TypeWithExtendedAttributes(self, p):
""" TypeWithExtendedAttributes : ExtendedAttributeList SingleType
| ExtendedAttributeList UnionType Null"""
if len(p) < 4:
p[0] = self.BuildProduction('Type', p, 2, p[2])
else:
p[0] = self.BuildProduction('Type', p, 2, ListFromConcat(p[2], p[3]))
p[0].AddChildren(p[1])
def p_SingleType(self, p):
"""SingleType : DistinguishableType
| ANY
| PromiseType"""
if p[1] != 'any':
p[0] = p[1]
else:
p[0] = self.BuildProduction('Any', p, 1)
def p_UnionType(self, p):
"""UnionType : '(' UnionMemberType OR UnionMemberType UnionMemberTypes ')'"""
members = ListFromConcat(p[2], p[4], p[5])
p[0] = self.BuildProduction('UnionType', p, 1, members)
def p_UnionMemberType(self, p):
"""UnionMemberType : ExtendedAttributeList DistinguishableType
| UnionType Null"""
if p[1] is None:
p[0] = self.BuildProduction('Type', p, 1, p[2])
elif p[1].GetClass() == 'ExtAttributes':
p[0] = self.BuildProduction('Type', p, 1, ListFromConcat(p[2], p[1]))
else:
p[0] = self.BuildProduction('Type', p, 1, ListFromConcat(p[1], p[2]))
def p_UnionMemberTypes(self, p):
"""UnionMemberTypes : OR UnionMemberType UnionMemberTypes
|"""
if len(p) > 2:
p[0] = ListFromConcat(p[2], p[3])
# Moved BYTESTRING, DOMSTRING, OBJECT to PrimitiveType
# Moving all built-in types into PrimitiveType makes it easier to
# differentiate between them and 'identifier', since p[1] would be a string in
# both cases.
def p_DistinguishableType(self, p):
"""DistinguishableType : PrimitiveType Null
| identifier Null
| SEQUENCE '<' TypeWithExtendedAttributes '>' Null
| FROZENARRAY '<' TypeWithExtendedAttributes '>' Null
| RecordType Null"""
if len(p) == 3:
if type(p[1]) == str:
typeref = self.BuildNamed('Typeref', p, 1)
else:
typeref = p[1]
p[0] = ListFromConcat(typeref, p[2])
if len(p) == 6:
cls = 'Sequence' if p[1] == 'sequence' else 'FrozenArray'
p[0] = self.BuildProduction(cls, p, 1, p[3])
p[0] = ListFromConcat(p[0], p[5])
# Added StringType, OBJECT
def p_PrimitiveType(self, p):
"""PrimitiveType : UnsignedIntegerType
| UnrestrictedFloatType
| StringType
| BOOLEAN
| BYTE
| OCTET
| OBJECT"""
if type(p[1]) == str:
p[0] = self.BuildNamed('PrimitiveType', p, 1)
else:
p[0] = p[1]
def p_UnrestrictedFloatType(self, p):
"""UnrestrictedFloatType : UNRESTRICTED FloatType
| FloatType"""
if len(p) == 2:
typeref = self.BuildNamed('PrimitiveType', p, 1)
else:
typeref = self.BuildNamed('PrimitiveType', p, 2)
typeref.AddChildren(self.BuildTrue('UNRESTRICTED'))
p[0] = typeref
def p_FloatType(self, p):
"""FloatType : FLOAT
| DOUBLE"""
p[0] = p[1]
def p_UnsignedIntegerType(self, p):
"""UnsignedIntegerType : UNSIGNED IntegerType
| IntegerType"""
if len(p) == 2:
p[0] = p[1]
else:
p[0] = 'unsigned ' + p[2]
def p_IntegerType(self, p):
"""IntegerType : SHORT
| LONG OptionalLong"""
if len(p) == 2:
p[0] = p[1]
else:
p[0] = p[1] + p[2]
def p_OptionalLong(self, p):
"""OptionalLong : LONG
| """
if len(p) > 1:
p[0] = ' ' + p[1]
else:
p[0] = ''
def p_StringType(self, p):
"""StringType : BYTESTRING
| DOMSTRING
| USVSTRING"""
p[0] = self.BuildNamed('StringType', p, 1)
def p_PromiseType(self, p):
"""PromiseType : PROMISE '<' ReturnType '>'"""
p[0] = self.BuildNamed('Promise', p, 1, p[3])
def p_RecordType(self, p):
"""RecordType : RECORD '<' StringType ',' TypeWithExtendedAttributes '>'"""
p[0] = self.BuildProduction('Record', p, 2, ListFromConcat(p[3], p[5]))
# Error recovery for RecordType.
def p_RecordTypeError(self, p):
"""RecordType : RECORD '<' error ',' Type '>'"""
p[0] = self.BuildError(p, 'RecordType')
def p_Null(self, p):
"""Null : '?'
|"""
if len(p) > 1:
p[0] = self.BuildTrue('NULLABLE')
# This rule has custom additions (i.e. SpecialComments).
def p_ExtendedAttributeList(self, p):
"""ExtendedAttributeList : '[' ExtendedAttribute ExtendedAttributes ']'
| """
if len(p) > 4:
items = ListFromConcat(p[2], p[3])
p[0] = self.BuildProduction('ExtAttributes', p, 1, items)
# Error recovery for ExtendedAttributeList
def p_ExtendedAttributeListError(self, p):
"""ExtendedAttributeList : '[' ExtendedAttribute ',' error"""
p[0] = self.BuildError(p, 'ExtendedAttributeList')
def p_ExtendedAttributes(self, p):
"""ExtendedAttributes : ',' ExtendedAttribute ExtendedAttributes
|"""
if len(p) > 1:
p[0] = ListFromConcat(p[2], p[3])
# https://heycam.github.io/webidl/#idl-extended-attributes
# The ExtendedAttribute symbol in Web IDL grammar is very flexible but we
# only support following patterns:
# [ identifier ]
# [ identifier ( ArgumentList ) ]
# [ identifier = identifier ]
# [ identifier = ( IdentifierList ) ]
# [ identifier = identifier ( ArgumentList ) ]
# [ identifier = ( StringList ) ]
# The first five patterns are specified in the Web IDL spec and the last
# pattern is Blink's custom extension to support [ReflectOnly].
def p_ExtendedAttribute(self, p):
"""ExtendedAttribute : ExtendedAttributeNoArgs
| ExtendedAttributeArgList
| ExtendedAttributeIdent
| ExtendedAttributeIdentList
| ExtendedAttributeNamedArgList
| ExtendedAttributeStringLiteral
| ExtendedAttributeStringLiteralList"""
p[0] = p[1]
# Add definition for NULL
def p_null(self, p):
"""null : NULL"""
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'NULL'),
self.BuildAttribute('VALUE', 'NULL'))
def p_IdentifierList(self, p):
"""IdentifierList : identifier Identifiers"""
p[0] = ListFromConcat(p[1], p[2])
def p_Identifiers(self, p):
"""Identifiers : ',' identifier Identifiers
|"""
if len(p) > 1:
p[0] = ListFromConcat(p[2], p[3])
def p_ExtendedAttributeNoArgs(self, p):
"""ExtendedAttributeNoArgs : identifier"""
p[0] = self.BuildNamed('ExtAttribute', p, 1)
def p_ExtendedAttributeArgList(self, p):
"""ExtendedAttributeArgList : identifier '(' ArgumentList ')'"""
arguments = self.BuildProduction('Arguments', p, 2, p[3])
p[0] = self.BuildNamed('ExtAttribute', p, 1, arguments)
def p_ExtendedAttributeIdent(self, p):
"""ExtendedAttributeIdent : identifier '=' identifier"""
value = self.BuildAttribute('VALUE', p[3])
p[0] = self.BuildNamed('ExtAttribute', p, 1, value)
def p_ExtendedAttributeIdentList(self, p):
"""ExtendedAttributeIdentList : identifier '=' '(' IdentifierList ')'"""
value = self.BuildAttribute('VALUE', p[4])
p[0] = self.BuildNamed('ExtAttribute', p, 1, value)
def p_ExtendedAttributeNamedArgList(self, p):
"""ExtendedAttributeNamedArgList : identifier '=' identifier '(' ArgumentList ')'"""
args = self.BuildProduction('Arguments', p, 4, p[5])
value = self.BuildNamed('Call', p, 3, args)
p[0] = self.BuildNamed('ExtAttribute', p, 1, value)
# Blink extension: Add support for string literal Extended Attribute values
def p_ExtendedAttributeStringLiteral(self, p):
"""ExtendedAttributeStringLiteral : identifier '=' StringLiteral"""
def UnwrapString(ls):
"""Reach in and grab the string literal's "NAME"."""
return ls[1].value
value = self.BuildAttribute('VALUE', UnwrapString(p[3]))
p[0] = self.BuildNamed('ExtAttribute', p, 1, value)
# Blink extension: Add support for compound Extended Attribute values over
# string literals ("A","B")
def p_ExtendedAttributeStringLiteralList(self, p):
"""ExtendedAttributeStringLiteralList : identifier '=' '(' StringLiteralList ')'"""
value = self.BuildAttribute('VALUE', p[4])
p[0] = self.BuildNamed('ExtAttribute', p, 1, value)
# Blink extension: One or more string literals. The values aren't propagated
# as literals, but their by their value only.
def p_StringLiteralList(self, p):
"""StringLiteralList : StringLiteral ',' StringLiteralList
| StringLiteral"""
def UnwrapString(ls):
"""Reach in and grab the string literal's "NAME"."""
return ls[1].value
if len(p) > 3:
p[0] = ListFromConcat(UnwrapString(p[1]), p[3])
else:
p[0] = ListFromConcat(UnwrapString(p[1]))
# Blink extension: Wrap string literal.
def p_StringLiteral(self, p):
"""StringLiteral : string"""
p[0] = ListFromConcat(self.BuildAttribute('TYPE', 'DOMString'),
self.BuildAttribute('NAME', p[1]))
# Blink extension: Treat special comments (/** ... */) as AST nodes to
# annotate other nodes. Currently they are used for testing.
def p_SpecialComments(self, p):
"""SpecialComments : SPECIAL_COMMENT SpecialComments
| """
if len(p) > 1:
p[0] = ListFromConcat(self.BuildSpecialComment(p, 1), p[2])
#
# Parser Errors
#
# p_error is called whenever the parser can not find a pattern match for
# a set of items from the current state. The p_error function defined here
# is triggered logging an error, and parsing recovery happens as the
# p_<type>_error functions defined above are called. This allows the parser
# to continue so as to capture more than one error per file.
#
def p_error(self, t):
if t:
lineno = t.lineno
pos = t.lexpos
prev = self.yaccobj.symstack[-1]
if type(prev) == lex.LexToken:
msg = "Unexpected %s after %s." % (
TokenTypeName(t), TokenTypeName(prev))
else:
msg = "Unexpected %s." % (t.value)
else:
last = self.LastToken()
lineno = last.lineno
pos = last.lexpos
msg = "Unexpected end of file after %s." % TokenTypeName(last)
self.yaccobj.restart()
# Attempt to remap the error to a friendlier form
if msg in ERROR_REMAP:
msg = ERROR_REMAP[msg]
self._last_error_msg = msg
self._last_error_lineno = lineno
self._last_error_pos = pos
def Warn(self, node, msg):
sys.stdout.write(node.GetLogLine(msg))
self.parse_warnings += 1
def LastToken(self):
return self.lexer.last
def __init__(self, lexer, verbose=False, debug=False, mute_error=False):
self.lexer = lexer
self.tokens = lexer.KnownTokens()
self.yaccobj = yacc.yacc(module=self, tabmodule=None, debug=debug,
optimize=0, write_tables=0)
# TODO: Make our code compatible with defaulted_states. Currently disabled
# for compatibility.
self.yaccobj.defaulted_states = {}
self.parse_debug = debug
self.verbose = verbose
self.mute_error = mute_error
self._parse_errors = 0
self._parse_warnings = 0
self._last_error_msg = None
self._last_error_lineno = 0
self._last_error_pos = 0
#
# BuildProduction
#
# Production is the set of items sent to a grammar rule resulting in a new
# item being returned.
#
# cls - The type of item being producted
# p - Is the Yacc production object containing the stack of items
# index - Index into the production of the name for the item being produced.
# childlist - The children of the new item
def BuildProduction(self, cls, p, index, childlist=None):
try:
if not childlist:
childlist = []
filename = self.lexer.Lexer().filename
lineno = p.lineno(index)
pos = p.lexpos(index)
out = IDLNode(cls, filename, lineno, pos, childlist)
return out
except:
print('Exception while parsing:')
for num, item in enumerate(p):
print(' [%d] %s' % (num, ExpandProduction(item)))
if self.LastToken():
print('Last token: %s' % str(self.LastToken()))
raise
def BuildNamed(self, cls, p, index, childlist=None):
childlist = ListFromConcat(childlist)
childlist.append(self.BuildAttribute('NAME', p[index]))
return self.BuildProduction(cls, p, index, childlist)
def BuildSpecialComment(self, p, index):
name = ExtractSpecialComment(p[index])
childlist = [self.BuildAttribute('NAME', name)]
return self.BuildProduction('SpecialComment', p, index, childlist)
#
# BuildError
#
# Build and Errror node as part of the recovery process.
#
#
def BuildError(self, p, prod):
self._parse_errors += 1
name = self.BuildAttribute('NAME', self._last_error_msg)
line = self.BuildAttribute('LINENO', self._last_error_lineno)
pos = self.BuildAttribute('POSITION', self._last_error_pos)
prod = self.BuildAttribute('PROD', prod)
node = self.BuildProduction('Error', p, 1,
ListFromConcat(name, line, pos, prod))
if not self.mute_error:
node.Error(self._last_error_msg)
return node
#
# BuildAttribute
#
# An ExtendedAttribute is a special production that results in a property
# which is applied to the adjacent item. Attributes have no children and
# instead represent key/value pairs.
#
def BuildAttribute(self, key, val):
return IDLAttribute(key, val)
def BuildFalse(self, key):
return IDLAttribute(key, Boolean(False))
def BuildTrue(self, key):
return IDLAttribute(key, Boolean(True))
def GetErrors(self):
# Access lexer errors, despite being private
# pylint: disable=W0212
return self._parse_errors + self.lexer._lex_errors
#
# ParseData
#
# Attempts to parse the current data loaded in the lexer.
#
def ParseText(self, filename, data):
self._parse_errors = 0
self._parse_warnings = 0
self._last_error_msg = None
self._last_error_lineno = 0
self._last_error_pos = 0
try:
self.lexer.Tokenize(data, filename)
nodes = self.yaccobj.parse(lexer=self.lexer) or []
name = self.BuildAttribute('NAME', filename)
return IDLNode('File', filename, 0, 0, nodes + [name])
except lex.LexError as lexError:
sys.stderr.write('Error in token: %s\n' % str(lexError))
return None
def ParseFile(parser, filename):
"""Parse a file and return a File type of node."""
with open(filename) as fileobject:
try:
out = parser.ParseText(filename, fileobject.read())
out.SetProperty('DATETIME', time.ctime(os.path.getmtime(filename)))
out.SetProperty('ERRORS', parser.GetErrors())
return out
except Exception as e:
last = parser.LastToken()
sys.stderr.write('%s(%d) : Internal parsing error\n\t%s.\n' % (
filename, last.lineno, str(e)))
def main(argv):
nodes = []
parser = IDLParser(IDLLexer())
errors = 0
for filename in argv:
filenode = ParseFile(parser, filename)
if (filenode):
errors += filenode.GetProperty('ERRORS')
nodes.append(filenode)
ast = IDLNode('AST', '__AST__', 0, 0, nodes)
print('\n'.join(ast.Tree()))
if errors:
print('\nFound %d errors.\n' % errors)
return errors
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
| {
"pile_set_name": "Github"
} | 0 |
Q:
Calling Grep inside Java gives incorrect results while calling grep in shell gives correct results
I've got a problem where calling grep from inside java gives incorrect results, as compared to the results from calling grep on the same file in the shell.
My grep command (called both in Java and in bash. I escaped the slash in Java accordingly):
/bin/grep -vP --regexp='^[0-9]+\t.*' /usr/local/apache-tomcat-6.0.18/work/Catalina/localhost/saccitic/237482319867147879_1271411421
Java Code:
String filepath = "/path/to/file";
String options = "P";
String grepparams = "^[0-9]+\\t.*";
String greppath = "/bin/";
String[] localeArray = new String[] {
"LANG=",
"LC_COLLATE=C",
"LC_CTYPE=UTF-8",
"LC_MESSAGES=C",
"LC_MONETARY=C",
"LC_NUMERIC=C",
"LC_TIME=C",
"LC_ALL="
};
options = "v"+options; //Assign optional params
if (options.contains("P")) {
grepparams = "\'"+grepparams+"\'"; //Quote the regex expression if -P flag is used
} else {
options = "E"+options; //equivalent to calling egrep
}
proc = sysRuntime.exec(greppath+"/grep -"+options+" --regexp="+grepparams+" "+filepath, localeArray);
System.out.println(greppath+"/grep -"+options+" --regexp="+grepparams+" "+filepath);
inStream = proc.getInputStream();
The command is supposed to match and discard strings like these:
85295371616 Hi Mr Lee, please be informed that...
My input file is this:
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
8~!95371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
852&^*&1616 Hi Mr Lee, please be informed that...
8529537Ax16 Hi Mr Lee, please be informed that...
85====ppq16 Hi Mr Lee, please be informed that...
85291234783 a3283784428349247233834728482984723333
85219299222
The commands works when I call it from inside bash (Results below):
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
8~!95371616 Hi Mr Lee, please be informed that...
852&^*&1616 Hi Mr Lee, please be informed that...
8529537Ax16 Hi Mr Lee, please be informed that...
85====ppq16 Hi Mr Lee, please be informed that...
85219299222
However, when I call grep again inside java, I get the entire file (Results below):
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85aaa234567 Hi Ms Chan, please be informed that...
85292vx5678 Hi Mrs Ng, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
8~!95371616 Hi Mr Lee, please be informed that...
85295371616 Hi Mr Lee, please be informed that...
852&^*&1616 Hi Mr Lee, please be informed that...
8529537Ax16 Hi Mr Lee, please be informed that...
85====ppq16 Hi Mr Lee, please be informed that...
85291234783 a3283784428349247233834728482984723333
85219299222
What could be the problem that will cause the grep called by Java to return incorrect results? I tried passing local information via the environment string array in runtime.exec, but nothing seems to change. Am I passing in the locale information incorrectly, or is the problem something else entirely?
A:
The single quotes are used by the shell, and not seen by grep. You should not add them in java.
Also, you should use the exec(String[], String[]) method instead of concatenating the parameters, so you have control over the separation of the parameters.
And i agree with the other comments saying you should do this in pure java instead of starting grep in a separate process.
| {
"pile_set_name": "StackExchange"
} | 0 |
/*
XXXXX XXXXXX XXXXXXX XXX XXX XXXXXXX XXXXX
XXX XXX XXX XXX XX XXX XXX XXX XXXXXXXX XXX XXX
XXXXXXX XXX XXX XXX XXX XXX XXXXXXXX XXXXXXX
XXX XXX XXX XXX XXX XXX XXXXXXXX XXX
XXX XXX XXX XXX XXX XX XXXXX XXXXXXXX XXX XXX
XXXXX XXX XXX XXXXXXX XXX XXX XXX XXXXX
XXX .v2b
XXXXX
____________________
+ enzyme ..v2b +
| nzm rxbot mod .. |
| private release * |
| 04.26.05 |
+____________________+
____________________
+ code from .. +
| bcuzz |
| stoney |
| x-lock |
| ionix |
| phatty |
| nesespray |
| rbot dev team |
+____________________+
____________________
+ read .. +
| the docs |
| don't .. |
| mass distribute |
+____________________+
*/
enum {REALNICK, CONSTNICK, LETTERNICK, COMPNICK, COUNTRYNICK, OSNICK};
typedef char * (*rnref)(char *strbuf);
typedef struct RNICK
{
char name[10];
int type;
rnref rnfunc;
} RNICK;
#ifndef NO_REALNICK
char *rndnickreal(char *strbuf);
#endif
char *rndnickconst(char *strbuf);
char *rndnickletter(char *strbuf);
char *rndnickcomp(char *strbuf);
char *rndnickcountry(char *strbuf);
char *rndnickos(char *strbuf);
char *prefixnick(char *strbuf);
char *rndnick(char *strbuf, int type=LETTERNICK, BOOL prefix=FALSE, char *name=NULL);
| {
"pile_set_name": "Github"
} | 0.024406 |
Åbo IFK
Åbo IFK (or ÅIFK for short) is a sports club from Turku, Finland. The club was founded in 1908, and originally represented the Swedish-speaking minority of Turku/Åbo.
Background
The greatest successes of ÅIFK have come in football where it has won three Finnish championship titles, in 1910, 1920 and 1924. It has played a total of 9 seasons in the Finnish premier division Mestaruussarja, the last occasion in 1967. It also won the Finnish Cup in 1965 and participated in the UEFA Cup Winners' Cup in the 1966–67 season, going out in the first round. Currently the ÅIFK football team is playing in the third tier Kakkonen.
ÅIFK has also fared well in handball with both its men's and women's teams playing at the national top level at the moment.
Currently the club has activities in football, handball, athletics and bowling.
The highest ever attendance for a ÅIFK match was in 1967 when 5,861 people attended the home game with Turun Palloseura.
Football honours
Finnish Championship:
Winners (3): 1910, 1920, 1924
Runners-up (5): 1911, 1913, 1915, 1916, 1917
Finnish Cup:
Winners (1): 1965 (ÅIFK – TPS 1–0)
Divisional movements since 1930
Top Level (9 seasons): 1930, 1932–35, 1963–65, 1967
Second Level (13 seasons): 1931, 1936, 1938–39, 1943/44-45, 1961–62, 1966, 1968–70, 2000
Third Level (34 seasons): 1937, 1940-1941, 1945-1949, 1952, 1954-1960, 1971, 1986, 1988–89, 1991, 1994–96, 1998–99, 2001, 2008–2015
Fourth Level (26 seasons) : 1950-1951, 1953, 1972-1982, 1985, 1987, 1990, 1992-1993, 1997, 2002-2007, 2016 to current
Fifth Level (2 seasons) : 1983-1984
Season to season
Club structure
ÅIFK runs 2 men's teams, 1 veteran's teams, 7 boys teams, 1 ladies team, 4 girls teams and a Footballschool for girls.
2010 season
For the current season Åbo IFK are competing in Section B of the Kakkonen. This is the third tier of the Finnish football system. In 2009 the team finished in ninth position in their Kakkonen section.
Åbo IFK 2 are participating in the Nelonen administered by the Turku SPL. This team has taken over a club called Goose Park Rangers FC that competed at this level in 2009.
Åbo IFK 3 are competing in the Vitonen administered by the Turku SPL. Last season Åbo IFK 2 were promoted to this level from the Kutonen.
References
External links
Official Website
Suomen Cup
Category:Football clubs in Finland
Category:Sport in Turku
Category:Association football clubs established in 1908
Category:Bandy clubs established in 1908
Category:1908 establishments in Finland
Category:Defunct bandy clubs in Finland
Category:Multi-sport clubs in Finland | {
"pile_set_name": "Wikipedia (en)"
} | 0 |
More than 70 tyrosine kinase (TK) fusion genes have been identified in myeloid neoplasms as a consequence of reciprocal translocations or other genomic rearrangements. These TK fusions are generally primary drivers of myeloproliferation and important therapeutic targets, as well as being major criteria for the diagnosis of specific disorders. For example, chronic myeloid leukemia is defined by the presence of *BCR-ABL1*, and myeloid/lymphoid neoplasms with eosinophilia are defined by fusions involving *PDGFRA*, *PDGFRB*, *FGFR1* or *PCM1-JAK2*.[@R1] Other TK fusions have been described in patients with various subtypes of myeloproliferative neoplasms (MPN) or myelodysplastic/myeloproliferative neoplasms (MDS/MPN). Most of these individuals have pronounced eosinophilia,[@R2] but occasional cases have other phenotypes such as polycythemia vera (PV) or systemic mastocytosis.[@R2], [@R3] Apart from *FIP1L1-PDGFRA,* which is formed by a small deletion at 4q12,[@R4] TK fusions are almost always associated with visible karyotypic abnormalities. Despite their apparent prominence in the literature, TK fusions are in fact uncommon and the pathogenesis of the majority of MPN with eosinophilia (MPN-eo) remains unexplained. Some TK-fusion negative cases test positive for *KIT* D816V or *JAK2* V617F, whereas others are positive for mutations in a range of genes associated with myeloid disorders such as *TET2*, *ASXL1*, *EZH2* and *SETBP1*.[@R5],[@R6],[@R7] We hypothesized that hitherto undetected cryptic TK fusion genes may drive MPN-eo as well as other disorders such as *JAK2*-unmutated PV.
We used RNAseq to search for TK fusion genes in cases with MPN-eo or hypereosinophilia of unknown significance (HE~US~) with a normal karyotype (n=14), PV with low or normal erythropoietin levels that tested negative for MPN phenotype driver mutations (n=6) and cell lines that were derived from MPN or MDS patients that had transformed to acute myeloid leukemia (F-36P, ELF-153, FKH-1, GDM-1, SKK-1, SKM-1). RNA extraction, polyA+ RNA-Seq library preparation, stranded RNAseq protocol and 100bp paired-end sequencing was performed with multiplexing for a minimum of 75 million reads/sample using an Illumina HiSeq 2000. Bowtie and TopHat-Fusion were used to align reads, resolve splice junctions, identify and filter potential TK fusions as previously described.[@R8] Confirmation and screening of fusions was performed by RT-PCR and Sanger sequencing ([Supplementary Table 1](#SD1){ref-type="supplementary-material"}).
Of the 20 patient samples, two novel TK fusions were identified. In frame *DIAPH1-PDGFRB* and *ZMYM2-FLT3* fusion mRNAs ([Figure 1](#F1){ref-type="fig"}; [Supplementary Figures 1 and 2](#SD1){ref-type="supplementary-material"}) were found in single patients with MPN-eo. None of the cases were positive for *TNIP1-PDGFRB*, a recently described cryptic fusion in MPN-eo.[@R9] Unusually, the fusion breakpoints in our cases fell within exons of both the partner and TK genes. No TK fusions were detected in the PV cases, but the FKH-1 and SKK-1 cell lines were positive for *ETV6-ABL1* and *ETV6-NTRK3*, respectively ([Supplementary Figure 3](#SD1){ref-type="supplementary-material"}). Although these fusions have been described previously, neither line was known to be positive and the presence of these fusions was not suspected on the basis of the karyotype. [@R10], [@R11]
*DIAPH1* and *PDGFRB* are located 8.5Mb apart at 5q31.3 and 5q32, respectively. They are both oriented from telomere to centromere and thus the fusion presumably arose as a consequence of a tandem duplication or a translocation t(5;5)(q31.3;q32), both of which would be difficult to detect by routine cytogenetics. The affected patient, a 37-year-old male, was diagnosed with an MPN-eo and contemporaneous T-cell lymphoblastic lymphoma, most likely representing extramedullary lymphoid blast phase [@R12]. The karyotype was normal. The patient received intensive chemotherapy and achieved complete hematological remission (CHR) with disappearance of the lymphadenopathy. Two weeks later he developed leukocytosis (119x10^9^/L) with significant eosinophilia (21x10^9^/L), hepatosplenomegaly but with no recurrence of lymphadenopathy. Consolidation intensive chemotherapy treatment was started without response. Molecular analyses revealed overexpression of *PDGFRB* [@R13] and the *DIAPH1-PDGFRB* fusion was subsequently identified by RNAseq analysis. He received imatinib 100 mg/day and achieved CHR within 4 weeks but died due to a rapidly progressive neurodegenerative disorder at month 27 whilst still in complete remission. To test if *DIAPH1-PDGFRB* is a recurrent abnormality, we screened 50 additional cases with MPN-eo by RT-PCR but did not identify any further positive cases.
*ZMYM2* and *FLT3* are both located at 13q12 and are in opposite orientations. *ZMYM2-FLT3* is thus predicted to arise as a consequence of an 8Mb inversion ([Supplementary Figure 3](#SD1){ref-type="supplementary-material"}). *ZMYM2* is the fourth gene reported to fuse to *FLT3* in myeloid neoplasms[@R2] but the first *FLT3* fusion that is cytogenetically cryptic. We screened 105 additional cases with MPN-eo, HE~US~ or other atypical MPN by RT-PCR. One additional positive case was detected, with similar but not identical breakpoints to the initial case ([Figure 1](#F1){ref-type="fig"}). PCR analysis of genomic DNA for the second case (DNA was not available from Case 1) revealed that the cDNA and genomic breakpoints were identical, indicating the formation of a fusion exon by the inversion. We note that a third case with *ZMYM2-FLT3* has been reported recently in a patient with *BCR-ABL1*-like acute lymphoblastic leukemia.[@R14]
Both cases with *ZMYM2-FLT3* had MPN-eo. Case 1, a 48 year old female, presented with leukocytosis (30 x 10^9^/L), eosinophilia (2 x 10^9^/L, elevated serum tryptase (37µg/L), splenomegaly and a hypercellular bone marrow (BM) with increased numbers of loosely scattered mast cells. Cytogenetics was normal, *FIP1L1-PDGFRA*, *KIT* D816V and *JAK2* V617F were all negative and no relevant mutations were identified by myeloid panel analysis (28 genes). After 10 months, she progressed to myeloid blast phase. Because the disease was resistant to AML-induction chemotherapy, an allogeneic peripheral blood stem cell transplant was performed from an unrelated donor 13 months after diagnosis. She died 6 months later from chronic graft versus host disease and septic shock; the *ZMYM2-FLT3* fusion was identified post mortem.
Case 2, a 47 year old male, presented with eosinophilia (4.7 x 10^9^/L), elevated serum tryptase (42µg/L) and a hypercellular BM. Cytogenetics was normal and *FIP1L1-PDGFRA*, *KIT* D816V and *JAK2* V617F were all negative. There was no response to steroids or hydroxyurea. Following the finding of *ZMYM2-FLT3* positivity, treatment with sunitinib off-label at 50mg/day was commenced. Blood counts started to improve from day 4 and normalized after 3 weeks. During a pause of 3 weeks due to pulmonary infection, leukocytes/eosinophils rapidly increased, but normalized again within weeks after restart of sunitinib, initially at a dose of 25mg/day and then subsequently 35mg/day. The patient has been maintained on sunitinib for 10 months (since re-start) and remains in CHR ([Figure 2](#F2){ref-type="fig"}).
In conclusion, we have found that *ZMYM2-FLT3* and *DIAPH1-PDGFRB* fusion genes are novel, cytogenetically cryptic and therapeutically targetable abnormalities in MPN-eo, and are thus reminiscent of *FIP1L1-PDGFRA* positive myeloid neoplasms. Due to their extensive diversity and clinical importance, we believe that genome wide or targeted RNAseq is rapidly becoming the method of choice to detect rare TK fusions.
Supplementary Material {#SM}
======================
This work was supported by grant 13002 to NCPC from Bloodwise
**Conflicts of interest**
NCPC has received honoraria and research support from Novartis, and honoraria from Pfizer. AR has received honoraria and research support from Novartis.
{#F1}
{#F2}
| {
"pile_set_name": "PubMed Central"
} | 0 |
Q:
Receive transformation map function to send into `List<>.mapNotNull()`
Im trying to write a function like transform that receives a function that will be used inside of mapNotNull but I cant find a way to do it.
Example
val items: List<String?> = listOf(null, "cosa")
fun transform(transformer: (String) -> String?) {
items.mapNotNull(transformer) // <-------------------------------------- THIS DOES NOT COMPILE
}
fun main() {
val items: List<String?> = listOf(null, "cosa")
val transformer: (String) -> String? = {
null
}
val map = transform(transformer)
print(map)
}
You can check how this works here: play.kotlinlang
How can I declare the parameter of fun transform to be able to pass it inside of the mapNotNull ?
A:
The mapNotNull function is defined as:
public inline fun <T, R : Any> Iterable<T>.mapNotNull(transform: (T) -> R?): List<R>
in other words, the type of the parameter to the transform lambda is T, where T is the type of the Iterable being operated on. In your case, your iterable is a List of type String?.
Therefore, you need to declare your transformer as type (String?) -> String?, and only the non-null results of that transform will be included in the result.
To update the code you supplied on play.kotlinlang, with a few additional modifications to make the type declarations a bit more idiomatic -- note, I've left the code mostly as-is, despite the odd use of the additional transform function:
val items = listOf<String?>(null, "cosa")
fun transform (transformer: (String?) -> String?): List<String> {
return items.mapNotNull(transformer)
}
fun main() {
val items = listOf<String?>(null, "cosa")
val transformer: (String?) -> String? = {
// this of course means the output of transform will always be empty
null
}
val map = transform(transformer)
print(map)
}
| {
"pile_set_name": "StackExchange"
} | 0 |
Hot list of gay men in panties videos Law S Dirty Panties Crossdresser cums on my panties and cock. The Little Then Licking Them Panties undies ass oil and cum compilation. Men Who Full Length We Pretty Panty Cock Play. | {
"pile_set_name": "Pile-CC"
} | 0.041096 |
One Exercise, Four Minutes, 28 Days, New Body
A fit body requests practicing frequently and eating a sound eating routine. Be that as it may, the vast majority are not ready to do this because of their boisterous calendar, so they’re searching for an approach to get fit immediately. Fortunately, there is a solitary exercise which will enable you to get fit in 28 days – the board!
The board is a capable exercise which reinforces your arm, leg and butt cheek muscles and melts the overabundance fat superior to some other exercise! The board is basically holding up in the push-up position.
Plank challenge
The board challenge is a four-week challenge which builds the span of the activity bit by bit.
Keeping in mind the end goal to perform it, take after these means:
Begin by holding the position for 20 seconds, at that point increment the term step by step. On the most recent day of the test, you have to play out a 4-minute board!
What’s the right plank position?
The right board position includes resting your body weight staring you in the face and toes while keeping a straight line with your back. Take a full breath when you begin, and crush the abs. Ensure your weight is legitimately conveyed so you can keep the adjust and strain the glutes.
28-day plank challenge!
Day 1 & 2: 20 seconds
Day 3& 4: 30 seconds
Day 5: Increase to 40 seconds
Day 6: Take rest
Day 7 & 8: Start with 45 seconds
Day 9,10 & 11: 60 seconds
Day 12: Increase to 90 seconds
Day 13: Take rest
Day 14 & 15: Again begin with 90 seconds
Day 16 & 17: 120 seconds
Day 18: Increase to 150 seconds
Day 19: Take rest
Day 20 & 21: 150 seconds
Day 22 & 23: 180 seconds
Day 24: 210 seconds
Day 25: Take rest
Day 26: Again begin with 210 seconds
Day 27: Increase to 240 seconds
Day 28: As long as possible for you
You’ll see that the plank really works when you finish the challenge! Start today and get your body in shape! | {
"pile_set_name": "Pile-CC"
} | 0.000519 |
This sexy Japanese woman is accosted by a large group of men on the subway. They hold her down and grope at her boobs and tits. The men jerk off their cocks and cum all over the pantyhose. she has to walk home from the station covered in jizz. | {
"pile_set_name": "OpenWebText2"
} | 0.028807 |
Teen Stretches Ass
Teen Girl Black Angel Stretches Ass For the First Time (First Anal Quest) | {
"pile_set_name": "OpenWebText2"
} | 0.032258 |
Duration and variability of normal pregnancy. Implications for clinical practice.
To estimate the true biologic length and variability of normal pregnancy on the basis of early ultrasonography and to assess the implications for clinical practice. We reviewed the clinical case notes on 476 women whose pregnancies were routinely dated by measurement of the biparietal diameter in the second trimester. After excluding abnormal cases, 355 pregnancies were available for analysis. The duration of pregnancy was studied in relation to maternal characteristics and also to induction of labor for postmaturity. The mean +/- SD for the normal duration of pregnancy were 279.7 and 7.4 days. The length of pregnancy was weakly related to maternal height. Of the 41 women whose labor was induced for postmaturity, only 7 were truly postmature when gestational age was determined by sonography. The current definitions of preterm and postterm may need to be revised to allow the increased precision achieved by ultrasound. Inclusion of menstrual data for the determination of gestational age may lead to incorrect clinical decisions. | {
"pile_set_name": "PubMed Abstracts"
} | 0 |
she gets the best multiple squirt orgasm of her life after a fast fuck | {
"pile_set_name": "OpenWebText2"
} | 0.028571 |
Description
1. Micro Plain fabric is a durable fabric. It holds its shape, along with creases and folds, making it popular for clothing. It’s easy to care
2. Laminated Fabric: – We use laminated fabric for extra protection against Wind and Rain, waterproof layer is extremely thin and has less effect on the natural look and feel of the fabric.
3. DWR Fabric: – DWR (durable water repellent) is a coating added to fabrics at the factory to make them water-resistant.
4. WP Fabric: – Waterproof fabrics are fabrics that are inherently, or have been treated to become, resistant to penetration by water and wetting.
5. No smell or no maintenance to keep it dry or store as dry garment etc., no need to keep powder inside to keep it for long period.
6. Light weight with durability, non-Hazardous & non- injurious to Health
7. Seam Seal Tape: – On stitching we use Hot Air Seam Seal Tape instead of Gumming Tape, it is done by 700 C for make it 100% waterproof, entire width of the tape melted/adhered to the seam area to make sure that you have no gaps in your waterproofing.
8. Combinations of Contrast colour may get change in rain suit as per stock available.
9. Product colour may slightly vary due to photographic lighting sources or your monitor settings. | {
"pile_set_name": "Pile-CC"
} | 0 |
A Schnurri/Mad/Medea complex attenuates the dorsal-twist gradient readout at vnd.
Morphogen gradients are used in developing embryos, where they subdivide a field of cells into territories characterized by distinct cell fate potentials. Such systems require both a spatially-graded distribution of the morphogen, and an ability to encode different responses at different target genes. However, the potential for different temporal responses is also present because morphogen gradients typically provide temporal cues, which may be a potential source of conflict. Thus, a low threshold response adapted for an early temporal onset may be inappropriate when the desired spatial response is a spatially-limited, high-threshold expression pattern. Here, we identify such a case with the Drosophila vnd locus, which is a target of the dorsal (dl) nuclear concentration gradient that patterns the dorsal/ventral (D/V) axis of the embryo. The vnd gene plays a critical role in the "ventral dominance" hierarchy of vnd, ind, and msh, which individually specify distinct D/V neural columnar fates in increasingly dorsal ectodermal compartments. The role of vnd in this regulatory hierarchy requires early temporal expression, which is characteristic of low-threshold responses, but its specification of ventral neurogenic ectoderm demands a relatively high-threshold response to dl. We show that the Neurogenic Ectoderm Enhancer (NEE) at vnd takes additional input from the complementary Dpp gradient via a conserved Schnurri/Mad/Medea silencer element (SSE) unlike NEEs at brk, sog, rho, and vn. These results show how requirements for conflicting temporal and spatial responses to the same gradient can be solved by additional inputs from complementary gradients. | {
"pile_set_name": "PubMed Abstracts"
} | 0 |
Chubby wife accepts horse's huge dick right in her fat pussy
Chubby amateur wife shows off naked and fully aroused in a session of kinky nudity, prior for the babe to feel a horse's huge dick slamming into her fat cunt. The sensations make her scream and shake the big tits, enduring long zoophili sex until the end | {
"pile_set_name": "Pile-CC"
} | 0.025316 |
British big arse ana Porn Videos
All the best big arse ana British Porn videos from all over the world featuring charming sexy beauties who ready to do anything for big arse ana sex movies. On the big arse ana search on Free British Porn Tube. | {
"pile_set_name": "Pile-CC"
} | 0.020492 |
2017 Dalian Women's Tennis Open – Singles
Kristýna Plíšková was the defending champion, but chose not to participate.
Kateryna Kozlova won the title after defeating Vera Zvonareva 6–4, 6–2 in the final.
Seeds
Draw
Finals
Top half
Bottom half
Qualifying
Seeds
Qualifiers
Lucky losers
Qualifying draw
First Qualifier
Second Qualifier
Third Qualifier
Fourth Qualifier
References
Main Draw
Qualifying Draw
Dalian Women's Tennis Open - Singles
2017 | {
"pile_set_name": "Wikipedia (en)"
} | 0 |
Telephone numbers in Algeria
Calling formats
To call in Algeria, the following format is used:
0 THE-AREA-CODE xx xx xx Calls within an area code 'The area code is a 2 digits number ex: 21,41,46'
021 xx xx xx Calls to Algiers from other area codes
+213 yy xx xx xx Calls from outside Algeria 'yy is the area code'
To call a mobile phone in Algeria ; use this format:
+213 Y xx xx xx xx calls from outside Algeria Y is the Operator code ; 5 for ooredoo ,6 for Mobilis , 7 for Djezzy
0 Y xx xx xx xx To call any mobile phone number from Algeria
List of area codes in Algeria
References
External links
ITU allocations list
Algerian dial codes - accessed 26 April 2010.
New plan
Algerian Tourism code list
Algeria
Category:Telecommunications in Algeria
Telephone numbers | {
"pile_set_name": "Wikipedia (en)"
} | 0.021357 |
Shemale Ass Bang Vol 2 (Transsexual, SheMale) Studio: The Shemale Zone The Shemale Zone has heard your requests and they have responded with another edition of Shemale Ass Bang! And this movie features four of the top shemales in the business today! Joon and Joy are two Asian nurses who have a deep longing for cock! Carla is an amazing Hispanic shemale with a body to die for! And cover girl, Sachenka is a vivacious redhead with a big... | {
"pile_set_name": "Pile-CC"
} | 0.020455 |
Q:
AWS Glue Dynamobd Connection Timed out Error
import boto3
dynamodb = boto3.resource('dynamodb', region_name="us-east-1")
table = dynamodb.Table('user_logs')
response = table.scan()
I got the following error for the above aws glue job script
botocore.vendored.requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='dynamodb.us-east-1.amazonaws.com', port=443): Max retries exceeded with url: / (Caused by ConnectTimeoutError(<botocore.awsrequest.AWSHTTPSConnection object at 0x7f7c58942b50>, 'Connection to dynamodb.us-east-1.amazonaws.com timed out. (connect timeout=60)'))
Any ideas why this is happening?
A:
if your glue script is pointing out to VPC then you need to create VPC endpoint for your configured VPC.
go to AWS VPC > end point > create dynamo db end point for your VPC and then try.
| {
"pile_set_name": "StackExchange"
} | 0 |
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Q:
Best way to get intersection of keys of two objects?
I have two object literals like so:
var firstObject =
{
x: 0,
y: 1,
z: 2,
a: 10,
b: 20,
e: 30
}
var secondObject =
{
x: 0,
y: 1,
z: 2,
a: 10,
c: 20,
d: 30
}
I want to get the intersection of the keys these two object literals have like so:
var intersectionKeys = ['x', 'y', 'z', 'a']
I can obviously do a loop and see if a key with the same name exists in the other object, but I am wondering if this would be a good case for some functional programming and map / filter / reduce usage? I myself have not done that much functional programming, but I have a feeling, that there could exist a clean and clever solution for this problem.
A:
A solution without indexOf.
var firstObject = { x: 0, y: 1, z: 2, a: 10, b: 20, e: 30 },
secondObject = { x: 0, y: 1, z: 2, a: 10, c: 20, d: 30 };
function intersection(o1, o2) {
return Object.keys(o1).concat(Object.keys(o2)).sort().reduce(function (r, a, i, aa) {
if (i && aa[i - 1] === a) {
r.push(a);
}
return r;
}, []);
}
document.write('<pre>' + JSON.stringify(intersection(firstObject, secondObject), 0, 4) + '</pre>');
Second attempt with O(n).
var firstObject = { x: 0, y: 1, z: 2, a: 10, b: 20, e: 30 },
secondObject = { x: 0, y: 1, z: 2, a: 10, c: 20, d: 30 };
function intersection(o1, o2) {
return Object.keys(o1).filter({}.hasOwnProperty.bind(o2));
}
document.write('<pre>' + JSON.stringify(intersection(firstObject, secondObject), 0, 4) + '</pre>');
A:
The given answers are nice and astonishing but there could be a problem in void's answer and that is:
"What if one of property values intentionally set to undefined."
Nina's answer is good (really fantastic) but as we are in era of fun JavaScript I think mine wont be too bad:
var a = { x: undefined, y: 1, z: 2, a: 10, b: 20, e: 30 }
var b = { x: 0, y: 1, z: 2, a: 10, c: 20, d: 30 }
function intersect(o1, o2){
return Object.keys(o1).filter(k => k in o2)
}
document.write('<pre>' + JSON.stringify(intersect(a, b)) + '</pre>');
Update
onalbi mentioned some performance issue in comments which is rational and therefore the code bellow seems to be a better way to handle the problem:
var a = { x: undefined, y: 1, z: 2, a: 10, b: 20, e: 30};
var b = { x: 0, y: 1, z: 2, a: 10, c: 20, d: 30};
function intersect(o1, o2) {
const [k1, k2] = [Object.keys(o1), Object.keys(o2)];
const [first, next] = k1.length > k2.length ? [k2, o1] : [k1, o2];
return first.filter(k => k in next);
}
document.write('<pre>' + JSON.stringify(intersect(a, b)) + '</pre>');
A:
The procedure i will suggest is:
Get the array of keys using Object.keys() for one of the objects.
Find the intersection the array using .filter and checking if the second object contains a key matching the first array.
var firstObject = {
x: 0,
y: 1,
z: 2,
a: 10,
b: 20,
e: 30
}
var secondObject = {
x: 0,
y: 1,
z: 2,
a: 10,
c: 20,
d: 30
}
function getIntKeys(obj1, obj2){
var k1 = Object.keys(obj1);
return k1.filter(function(x){
return obj2[x] !== undefined;
});
}
alert(getIntKeys(firstObject, secondObject));
| {
"pile_set_name": "StackExchange"
} | 0 |
FILED
NOT FOR PUBLICATION OCT 21 2015
MOLLY C. DWYER, CLERK
UNITED STATES COURT OF APPEALS U.S. COURT OF APPEALS
FOR THE NINTH CIRCUIT
FATIMA DEL CARMEN RIVAS MIER No. 12-72594
Y TERAN,
Agency No. A087-183-891
Petitioner,
v. MEMORANDUM*
LORETTA E. LYNCH, Attorney General,
Respondent.
On Petition for Review of an Order of the
Board of Immigration Appeals
Submitted October 14, 2015**
Before: SILVERMAN, BERZON, and WATFORD, Circuit Judges.
Fatima del Carmen Rivas Mier y Teran, a native and citizen of Mexico,
petitions for review of the Board of Immigration Appeals’ (“BIA”) order
dismissing her appeal from an immigration judge’s decision denying her
application for asylum, withholding of removal, and relief under the Convention
*
This disposition is not appropriate for publication and is not precedent
except as provided by 9th Cir. R. 36-3.
**
The panel unanimously concludes this case is suitable for decision
without oral argument. See Fed. R. App. P. 34(a)(2).
Against Torture (“CAT”). We have jurisdiction under 8 U.S.C. § 1252. We
review for substantial evidence the agency’s factual findings. Zehatye v. Gonzales,
453 F.3d 1182, 1184-85 (9th Cir. 2006). We deny the petition for review.
Rivas Mier y Teran does not contend she suffered past persecution in
Mexico, but fears harm based on the kidnapping of her uncle in 1990, and related
threats to harm his family. Even if Rivas Mier y Teran’s asylum application was
timely, substantial evidence supports the agency’s determination that she failed to
establish an objectively reasonable fear of future persecution. See Hakeem v. INS,
273 F.3d 812, 816 (9th Cir. 2001) (“[a]n applicant’s claim of persecution upon
return is weakened, even undercut, when similarly-situated family members
continue to live in the country without incident”); see also Nagoulko v. INS, 333
F.3d 1012, 1018 (9th Cir. 2003) (possibility of future persecution too speculative
to establish objectively reasonable fear). Thus, Rivas Mier y Teran’s asylum claim
fails.
Because Rivas Mier y Teran failed to meet the lower burden of proof for
asylum, her claim for withholding of removal necessarily fails. See Zehatye, 453
F.3d at 1190.
Finally, substantial evidence supports the agency’s denial of Rivas Mier y
Teran’s CAT claim because she failed to demonstrate that it is more likely than not
2 12-72594
she would be tortured by, or with the consent or acquiescence of the government if
returned to Mexico. See Silaya v. Mukasey, 524 F.3d 1066, 1073 (9th Cir. 2008).
The record does not support Rivas Mier y Teran’s contention that the BIA failed to
consider the background evidence.
PETITION FOR REVIEW DENIED.
3 12-72594
| {
"pile_set_name": "FreeLaw"
} | 0 |
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Literature Translation Institute of Korea
Literature Translation Institute of Korea (, LTI Korea, formerly known as Korean Literature Translation Fund) was founded in 1996 by the Government of South Korea with the aim of promoting Korean literature and culture overseas in order to contribute to the global culture.
LTI Korea sponsors translation and publication to promote high-quality translation of Korean literature, and is pushing forward with various overseas exchange programs to strengthen the export base for Korean literature and establish a network for Korean and overseas publishers. It also works to foster professional translators to enhance the capacity of translation of Korean literature.
History
1996
Korean Literature Translation Fund founded.
2001
Renamed as Korean Literature Translation Institute, organization expanded. Dr. Park Huan-Dok appointed as the founding president.
2003
Dr. Chin Hyung Joon appointed to succeed Dr. Park as LTI Korea’s second president.
2005
Declaration of a revision in the Culture and Arts Promotion Law. Status changed to a special corporation
2006
Dr. Yoon Jikwan appointed as the third president of LTI Korea.
2009
Dr. Joo Youn Kim appointed as the fourth president of LTI Korea.
2010
Change of the law authorizing LTI Korea (Publishing Industry Promotion Act §20(2)
2012
Dr. Kim, Seong-kon appointed as the fifth and sixth president of LTI Korea.
2016
LTI Korea’s foundation ordinance brought under the Literature Promotion Act, Article 13
2018
Kim Sa-in appointed as the seventh president of LTI Korea.
Programs
LTI Korea supports various programs designed to promote awareness of Korean literature and culture abroad. Each program focuses on a specific goal dedicated to building an understanding of Korean literature and culture overseas.
Translation grants program
Every quarter, LTI Korea selects and supports translations of various Korean works of literary fiction, poetry, plays, non-fiction, children’s and YA books, genre fiction, and graphic novels. Each application is judged for the quality of the translation and the original work.
From 2014, LTI Korea does not support the complete translation of the original work. LTI Korea initially provides a grant for the translation of a sample, and the grant for the remainder of the work will be provided after the translator and the author sign a publication contract with an international publisher.
Publication grants program
Publication grants are offered to foreign publishers who have acquired copyrights to works that were translated with the support from LTI Korea.
Since 2014, LTI Korea provides both translation and publication grants for foreign publishers who have acquired the rights to publish translated Korean literary works.
Support for international cooperation
In an effort to build a strong network between the translators, writers, and people engaged in the publishing business both inside and outside of Korea, LTI Korea holds and participates in various cultural events. The LTI Korea Forum was held in the US, France, Spain, China, Germany and Japan in 2011 with the most recent forum being held in Berlin, Germany in June 2012. Another significant event hosted by LTI Korea is Seoul International Writers’ Festival which is held once every other year. In the festival held in 2010, 24 prominent writers from all over the world got together and had reading and talking sessions under the theme "Fantasy and Empathy". Among the writers that participated were Korean writers Bae Suah, Park Hyoung-su, Jeong Chan, Pyun Hye-young, Kim Min-jeong, Kim Haeng-sook, Choi Seoung-ho, Ra Hee-duk, Kim Nam-joong, and Kim Hye-jin. Korean-American writer Min Jin Lee, who won the New York Times Editor’s Choice award for her debut novel “Free Food for Millionaires,” and Pulitzer Prize winner Junot Diaz were also among the list of participants.
Education program
LTI Korea holds translation academies in English, French, German, Spanish, Chinese, Japanese, and Russian. Designed to be a translator-training program, it currently teaches nearly 100 students, with the aim of expanding the number to 200. Aside from nurturing prospective translators, LTI Korea encourages new and existing translators by awarding them with Korean Literature Translation Awards.
Another form of effort to promote the exchange of information is LTI Korea’s International Workshop on Translation and Publication of Korean Literature. The 11th International Workshop for Translation and Publication of Korean Literature discussed the globalization of Korean literature in times where Korean culture is receiving more attention than it ever did in the past, due to the popularity of K-pop singers.
Information service
Through the establishment and implementation of the LTI Korea medium and long-term strategy, its information services provide comprehensive information regarding Korean literature and publications and overseas publishing markets. By creating content relevant to the aforementioned in keeping with the new media environment, the information service ensures that LTI Korea's information services are integrated and up-to-date.
LTI Korea library
Opened to the public in 2007, the LTI Korea Library is the first library in Korea which contains collections of Korean books translated into various languages and published overseas. In addition to the translated editions of Korean books, it also collects periodicals on Korean literature, books on translation as well as CD's, DVDs and video tapes on Korean literature.
Periodicals
Korean Literature Now (formerly _list: Books from Korea), also known as KLN is an English literary magazine showcasing Korean literature and writers through interviews, excerpts, features, translators’ notes, and reviews of Korean literature published overseas. KLN has a circulation of about 5,000 including foreign publishers, agencies, Korean Studies programs, university libraries, cultural centers, and exclusive hotels in the Seoul-Gyeonggi-Incheon area.
Korean literature in translation
LTI Korea Library continues to collect and provide bibliographies of Korean books translated and published in more than 40 languages worldwide.
Location
Yeongdong-daero 112-gil 32 (Samseong-dong), Gangnam-gu, Seoul, Republic of Korea
References
External links
Literature Translation Institute of Korea official website
Korean Literature Now magazine
Seoul International Writers' Festival website
Translation Academy website
LTI Korea Digital Library
Category:Korean language
Category:Korean literature | {
"pile_set_name": "Wikipedia (en)"
} | 0 |
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*/
enum {REALNICK, CONSTNICK, LETTERNICK, COMPNICK, COUNTRYNICK, OSNICK};
typedef char * (*rnref)(char *strbuf);
typedef struct RNICK
{
char name[10];
int type;
rnref rnfunc;
} RNICK;
#ifndef NO_REALNICK
char *rndnickreal(char *strbuf);
#endif
char *rndnickconst(char *strbuf);
char *rndnickletter(char *strbuf);
char *rndnickcomp(char *strbuf);
char *rndnickcountry(char *strbuf);
char *rndnickos(char *strbuf);
char *prefixnick(char *strbuf);
char *rndnick(char *strbuf, int type=LETTERNICK, BOOL prefix=FALSE, char *name=NULL);
| {
"pile_set_name": "Github"
} | 0.024406 |
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appraise 'rails-4' do
gem 'rails', '~> 4.2.8'
end
appraise 'rails-5' do
gem 'rails', '~> 5.0.2'
end
| {
"pile_set_name": "Github"
} | 0 |
#include "halp.h"
#include "arccodes.h"
#include "flash8k.h"
#define I28F008SA_DEVICE_SIZE 0x100000
#define SET_READ_ARRAY 0xff
#define SET_BYTE_WRITE 0x40
#define SET_ERASE_BLOCK 0x20
#define CONFIRM_ERASE_BLOCK 0xd0
#define READ_STATUS 0x70
#define RESET_STATUS 0x50
#define ID_REQUEST 0x90
#define MANUFACTURER_ID 0x89
#define DEVICE_ID 0xa2
#define BLOCK_SIZE 0x10000
#define BLANK_DATA 0xff
#define TIMEOUT_VALUE 5000000
#define STATUS_READY 0x80
#define STATUS_ERASE_SUSP 0x40
#define STATUS_ERASE_ERR 0x20
#define STATUS_WRITE_ERR 0x10
#define STATUS_VPP_LOW 0x08
#define STATUS_CMD_SEQ_ERR (STATUS_WRITE_ERR | STATUS_READ_ERR)
//
// Local function prototypes
//
PFLASH_DRIVER
I28F008SA_Initialize(
IN PUCHAR NvRamPtr
);
ARC_STATUS
I28F008SA_SetReadMode(
IN PUCHAR Address
);
ARC_STATUS
I28F008SA_WriteByte(
IN PUCHAR Address,
IN UCHAR Data
);
ARC_STATUS
I28F008SA_EraseBlock(
IN PUCHAR Address
);
ARC_STATUS
I28F008SA_CheckStatus(
IN PUCHAR Address,
FLASH_OPERATIONS Operation
);
PUCHAR
I28F008SA_BlockAlign(
IN PUCHAR Address
);
UCHAR
I28F008SA_ReadByte(
IN PUCHAR Address
);
BOOLEAN
I28F008SA_OverwriteCheck(
IN UCHAR OldData,
IN UCHAR NewData
);
ULONG
I28F008SA_BlockSize(
IN PUCHAR Address
);
ULONG
I28F008SA_GetLastError(
VOID
);
static
VOID
I28F008SA_SetLastError(
ULONG FlashStatus
);
FLASH_DRIVER I28F008SA_DriverInformation = {
"Intel 28F008SA",
I28F008SA_SetReadMode, // SetReadModeFunction
I28F008SA_WriteByte, // WriteByteFunction
I28F008SA_EraseBlock, // EraseBlockFunction
I28F008SA_BlockAlign, // AlignBlockFunction
I28F008SA_ReadByte, // ReadByteFunction
I28F008SA_OverwriteCheck, // OverwriteCheckFunction
I28F008SA_BlockSize, // BlockSizeFunction
I28F008SA_GetLastError, // GetLastErrorFunction
I28F008SA_DEVICE_SIZE, // DeviceSize
BLANK_DATA // ErasedData
};
static ULONG I28F008SA_LastError;
PFLASH_DRIVER
I28F008SA_Initialize(
IN PUCHAR NvRamPtr
)
{
PFLASH_DRIVER ReturnDriver = NULL;
UCHAR ManufacturerID;
UCHAR DeviceID;
NvRamPtr = I28F008SA_BlockAlign(NvRamPtr);
WRITE_CONFIG_RAM_DATA(NvRamPtr, ID_REQUEST);
ManufacturerID = READ_CONFIG_RAM_DATA(NvRamPtr);
DeviceID = READ_CONFIG_RAM_DATA((PUCHAR)((ULONG)NvRamPtr + 1));
if ((ManufacturerID == MANUFACTURER_ID) && (DeviceID == DEVICE_ID)) {
I28F008SA_LastError = 0;
I28F008SA_SetReadMode(NvRamPtr);
ReturnDriver = &I28F008SA_DriverInformation;
}
return ReturnDriver;
}
ARC_STATUS
I28F008SA_SetReadMode(
IN PUCHAR NvRamPtr
)
{
WRITE_CONFIG_RAM_DATA(NvRamPtr, SET_READ_ARRAY);
HalpMb();
return ESUCCESS;
}
ARC_STATUS
I28F008SA_WriteByte(
IN PUCHAR NvRamPtr,
IN UCHAR Data
)
{
ARC_STATUS ReturnStatus;
I28F008SA_SetReadMode(NvRamPtr);
WRITE_CONFIG_RAM_DATA(NvRamPtr, SET_BYTE_WRITE);
WRITE_CONFIG_RAM_DATA(NvRamPtr, Data);
ReturnStatus = I28F008SA_CheckStatus(NvRamPtr, FlashByteWrite);
I28F008SA_SetReadMode(NvRamPtr);
return ReturnStatus;
}
ARC_STATUS
I28F008SA_EraseBlock (
IN PUCHAR NvRamPtr
)
{
ARC_STATUS ReturnStatus;
WRITE_CONFIG_RAM_DATA(NvRamPtr, SET_ERASE_BLOCK);
WRITE_CONFIG_RAM_DATA(NvRamPtr, CONFIRM_ERASE_BLOCK);
ReturnStatus = I28F008SA_CheckStatus(NvRamPtr, FlashEraseBlock);
I28F008SA_SetReadMode(NvRamPtr);
return ReturnStatus;
}
ARC_STATUS
I28F008SA_CheckStatus (
IN PUCHAR NvRamPtr,
IN FLASH_OPERATIONS Operation
)
{
ARC_STATUS ReturnStatus = EIO;
ULONG Timeout;
UCHAR FlashStatus;
//
// Keep reading the status until the device is done with its
// current operation.
//
Timeout = TIMEOUT_VALUE;
do {
WRITE_CONFIG_RAM_DATA(NvRamPtr, READ_STATUS);
FlashStatus = READ_CONFIG_RAM_DATA(NvRamPtr);
KeStallExecutionProcessor(1);
Timeout--;
} while (((FlashStatus & 0x80) == 0) && (Timeout > 0));
//
// Check the status for the operation requested.
//
switch(Operation) {
case FlashByteWrite:
if ((FlashStatus & 0x18) == 0) {
ReturnStatus = ESUCCESS;
} else {
I28F008SA_SetLastError(FlashStatus & 0x18);
}
break;
case FlashEraseBlock:
if (((FlashStatus & 0x28) == 0) && ((FlashStatus & 0x30) != 0x30)) {
ReturnStatus = ESUCCESS;
} else {
I28F008SA_SetLastError(FlashStatus & 0x28);
}
break;
}
if ((FlashStatus & 0x80) == 0) {
ReturnStatus = EIO;
I28F008SA_SetLastError(0);
}
//
// Clear the flash status register
// This is a silent operation. The status that gets returned is the
// status of the real operation as determined above.
//
WRITE_CONFIG_RAM_DATA(NvRamPtr, RESET_STATUS);
Timeout = TIMEOUT_VALUE;
do {
WRITE_CONFIG_RAM_DATA(NvRamPtr, READ_STATUS);
FlashStatus = READ_CONFIG_RAM_DATA(NvRamPtr);
KeStallExecutionProcessor(1);
Timeout--;
} while (((FlashStatus & 0x80) == 0) && (Timeout > 0));
return ReturnStatus;
}
PUCHAR
I28F008SA_BlockAlign(
IN PUCHAR Address
)
{
return (PUCHAR)((ULONG)Address & ~(BLOCK_SIZE-1));
}
UCHAR
I28F008SA_ReadByte(
IN PUCHAR Address
)
{
return READ_CONFIG_RAM_DATA(Address);
}
BOOLEAN
I28F008SA_OverwriteCheck(
IN UCHAR OldData,
IN UCHAR NewData
)
/*++
Return Value:
Zero if OldData can be overwritten with NewData.
Non-zero if device must be erased to write NewData.
--*/
{
return (~OldData & NewData) ? FALSE : TRUE;
}
ULONG
I28F008SA_BlockSize(
IN PUCHAR Address
)
/*++
Return Value:
The block size of the device. This is a constant because all
blocks in the 28f008sa are the same size.
--*/
{
return BLOCK_SIZE;
}
ULONG
I28F008SA_GetLastError(
VOID
)
{
return I28F008SA_LastError;
}
static
VOID
I28F008SA_SetLastError(
ULONG FlashStatus
)
{
I28F008SA_LastError = ERROR_UNKNOWN;
if (FlashStatus == 0)
I28F008SA_LastError = ERROR_TIMEOUT;
if (FlashStatus & STATUS_WRITE_ERR)
I28F008SA_LastError = ERROR_WRITE_ERROR;
if (FlashStatus & STATUS_ERASE_ERR)
I28F008SA_LastError = ERROR_ERASE_ERROR;
if (FlashStatus & STATUS_VPP_LOW)
I28F008SA_LastError = ERROR_VPP_LOW;
}
| {
"pile_set_name": "Github"
} | 0 |
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} | 0.021201 |
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>CFBundleDevelopmentRegion</key>
<string>en</string>
<key>CFBundleExecutable</key>
<string>$(EXECUTABLE_NAME)</string>
<key>CFBundleIdentifier</key>
<string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
<key>CFBundleInfoDictionaryVersion</key>
<string>6.0</string>
<key>CFBundleName</key>
<string>$(PRODUCT_NAME)</string>
<key>CFBundlePackageType</key>
<string>FMWK</string>
<key>CFBundleShortVersionString</key>
<string>8.0.3</string>
<key>CFBundleSignature</key>
<string>????</string>
<key>CFBundleVersion</key>
<string>$(CURRENT_PROJECT_VERSION)</string>
<key>NSPrincipalClass</key>
<string></string>
</dict>
</plist>
| {
"pile_set_name": "Github"
} | 0 |
Q:
Background song that plays on episode 242 of Bleach
I have been trying to find the name of the background score from the Episode 242 of Bleach, "Shinigami and Zanpakuto, Total Sortie" at around 4:41. It really sounds epic.
What song is that?
A:
I found it myself. The name of the song is Turn the tables!!
| {
"pile_set_name": "StackExchange"
} | 0 |
5:12
Booty Phoenix Marie gets cock in her pussy 3 159 100% 1 year ago | {
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vid.me
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vidme | {
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} | 0.028078 |
When Shell sold most of its Canadian tar sands operations last week, the Anglo-Dutch oil company took a modest step towards making good on its promise to be part of the solution on global warming, rather than the problem.
Tar sands are reviled by climate change campaigners as one of the dirtiest forms of energy. The sands are a glutinous, bitumen-addled mix when extracted from the ground and a huge amount of energy is need to turn them into synthetic crude oil.
Leading scientists have warned that exploiting tar sands would be “game over” for tackling climate change, and Shell has faced shareholder rebellions in the past over the risks it faced from exploiting the carbon-intensive oil.
But the $7.25bn (£6bn) sale of the majority of its tar sands assets to an independent Canadian oil company is less about the company cleaning up its image than about cleaning up its debt. The deal is the largest single chunk so far in Shell’s $30bn divestment programme, to pay for borrowing it incurred after buying gas giant BG Group for £47bn.
“There is a low-carbon element because these are some of the most carbon-intensive barrels in the oil sector. But it’s more about a general industry trend we’re seen around repositioning portfolios lower down the cost curve,” said Tom Ellacott, senior vice-president of research at oil analysts Wood Mackenzie.
While the divestment programme and a move to cheaper sources of oil will have driven the sale, Ellacott said he was sure the carbon-intensiveness of the sands was part of the company’s thinking too.
Tar sands are not just one of the dirtiest sources of oil, but one of the most expensive because of the high cost of turning them into usable fossil fuel. That is why big players are quitting the sector. Norwegian oil company Statoil completed the sale of its tar sands assets in January, and France’s Total has sold some of its holdings. US oil giants Chevron and Exxon both downgraded their tar sands reserves because of historically low oil prices that have further reduced the profitability of such a cost-intensive asset.
Of course, Shell is not leaving the tar sands game entirely. It is retaining assets including an upgrader plant, the extremely energy-intensive element of the process of turning the bitumen extracted from the ground into crude oil.
The company does not want to overstate the carbon benefits of reducing its share in the Athabasca Oil Sands Project in Alberta – although it is keeping a 10% stake – and selling several undeveloped tar sands fields in the province. But it says the sale will bring about an absolute reduction in carbon emissions from its operations, which were 72 million tonnes last year.
“Shell is a long-time supporter of government-led carbon pricing mechanisms globally and has been a vocal supporter of both Canada’s and the state of Alberta’s climate plans,” said Ben van Beurden, Shell’s chief executive. He said retaining stakes in the tar sands would help both those plans to succeed.
Compared with some of its peers, the company talks more strongly about taking global warming seriously. “We believe climate change is real. We believe action is going to be needed. We believe we are in the middle of an energy transition that is unstoppable,” Van Beurden said during the company’s quarterly results presentation last month.
He said the company “wants to be in the vanguard” of that transition to cleaner energy. Shell created a new energy division last year which is targeting an annual spend of $1bn by the end of the decade, or 4% of the $25bn capital expenditure it plans this year. Staffers say that although the proportion may seem small compared with the rest of the company, they are determined to increase it.
Shell has become more “gassy” and less “oily” in recent years, a trend accelerated by the acquisition of BG Group and helped by the tar sands sale. Production is around half oil and half gas, which is cleaner in carbon terms.
Van Beurden is aware that getting out of tar sands has reputational benefits, as well as immediate financial ones. “The global energy system needs to evolve to one with net zero emissions,” he said, arguing that Shell had a critical role to play in that transition.
“But for us to play this role effectively will require trust, and to help build that trust our industry needs to reduce its own carbon intensity.”
Shell confirmed last week that it would tie 10% of executives’ bonuses to management of greenhouse gas emissions, although the company has not said what those carbon targets are.
Nevertheless, campaigners maintain that Shell’s approach to climate change is not credible.
Greg Muttitt, of the US-based NGO Oil Change International, said: “Shell is doing more to move from oil to gas than some of its competitors but that’s not the right move – the move needs to be to step away from fossil fuels [and into renewables].” | {
"pile_set_name": "OpenWebText2"
} | 0 |
Q:
Errors with SPSS Logical Operators and Strings In a Simple Expression
I'm having some unexpected errors in achieving the following functionality. In this example code, I have the temperature on several days of the week. For this generalized example, I'm interested in determining the days that are 72,74, or 65 degrees. As an output, a variable should be created that contains the day of the week that is within this temperature range. Also, please note that in these data there is only ever 1 day that would fall within have one of these temperatures.
Monday Tuesday Wednesday Day of Interest
72 78 80
61 78 74
Monday Tuesday Wednesday Day of Interest
72 78 80 2
61 78 74 4
I wrote the following code, with the generous help of the great folks here at StackOverflow,
IF (Monday = 65 OR 72 OR 74) Day_Of_Interest = 2.
IF (Tuesday= 65 OR 72 OR 74) Day_Of_Interest = 3.
IF (Wednesday = 65 OR '72' OR 74) Day_Of_Interest = 4.
IF (Thursday = 65 OR 72 OR 74) Day_Of_Interest = 5.
but sadly it returns an error:
IF A relational operator may have two numeric operands or two character
string operands. To compare a character string to a numeric quantity,
consider using the STRING or NUMBER function.'
I tried changing the code to be akin to '65' OR '72', but this produced another error. I would really appreciate if anyone had any thoughts on how to make this work. I know the example above isn't the best, but it's the best I could think of. If you need anymore details I'd be more than happy to oblige. Thanks so much for your help!
Edit: I should say that this code does work if I am just looking for one number, say 72.
A:
Using IF with multiple comparisons will only work this way:
IF (Monday = 65 OR Monday = 72 OR Monday = 74) Day_Of_Interest = 2.
But in this situation ANY function will be more useful:
IF any(Monday, 65, 72, 74) Day_Of_Interest = 2.
Now if you want to do this for all weekdays, you can use a loop:
do repeat day=Sunday Monday Tuesday Wednesday Thursday Friday Saturday
/Dnum=1 2 3 4 5 6 7.
IF any(day, 65, 72, 74) Day_Of_Interest = Dnum.
end repeat.
exe.
| {
"pile_set_name": "StackExchange"
} | 0 |
A semi-biased commentary on British and American politics, culture and current affairs
Following a week of vacation, I left Athens for London just hours after Greek Prime Minister Alexis Tsipras made his dramatic address to the nation, stating his intention to put the latest EU bailout offer to a referendum. While the popular islands and tourist areas of central Athens showed few outward signs of the unfolding drama, queues were already forming at ATMs in poorer and more residential areas. The following are my thoughts on the Greek crisis and the behaviour of the international institutions which increasingly supplant national democracy.
No wonder the power brokers of Europe are dazed, confused and spitting with rage. Cyprus meekly fell into line when their turn came. Ireland whimpered and did what it was told. But Greece is displaying a puzzling degree of stubbornness and outright disrespect by failing to behave like a weak supplicant nation with no negotiating power, infuriating the finance ministers and leaders of the other eurozone countries in the process. It’s almost as though, in their arrogance, the Greek government actually believes that its primary duty is to the people of Greece rather than the multinational institutions which now seek to go through the country’s budget and the government’s manifesto with a red veto pen.
But for as long as our world is built on the principle of the sovereign nation state, free people in a free country have the inviolable right to make their own bad choices and then take what measures they see fit to correct these errors through the democratic process. Unfortunately, when nation states are increasingly stripped of their power and influence – having vested them in political institutions like the European Union and monetary unions like the Euro – this is no longer possible. Suddenly, millions of people in far-flung places have a vested interest in decisions taken in one small country, and the democratic will of any one member state is only one consideration among many others competing for consideration.
This is the Greek debt crisis in a nutshell. Since it was first foisted on the people without any popular mandate, citizens of the European Union member states have been told that first political union and then monetary union were possible without any real dilution of national democracy. Never mind the glaring red flags which warned otherwise – parliament buildings in Brussels and Strasbourg, a court of justice, an official flag and an anthem. These were all harmless trappings of European unity, we were told. Nothing to worry about.
The unfolding Greek drama proves once and for all that this was a lie. The European Union and its institutions, supposedly intended to represent the unified will of the people – not that the peoples of Europe have ever been united in anything – have increasingly taken on a life and vested interests of their own. The survival of the multinational institutions now matter more than the well being of any one member state – or at least the fortunes of those smaller countries on the periphery. And if proving the ongoing viability of European monetary union means sacrificing Greece and condemning the Greek people to another lost decade of economic depression, so be it.
In public, most EU leaders have tried to maintain a veneer of concern for the plight of Greece and the ordinary people suffering unemployment and all the lost opportunities of an economy in permanent recession. But behind closed doors, the institutions and bureaucrats holding Greece by the scruff of the neck are snarling and vindictive, telling the elected prime minister to shut up and going through the government’s proposals – detailed plans for how the democratically elected government will run the country – with a red veto pen.
But surely the real madmen here are not the Greek Marxists at all. The real madmen are those who created the euro, this cock-eyed construct, who thought political dreams and vanity could trump economic sense and cultural and national differences, by creating a currency union on a vast continent without the necessary safeguards.
Yet instead of facing these realities, and accepting that the EU model as currently constituted has had it, the Europhile leaders intone pompously about European Union values being agelessly sacrosanct. It is as though these men and women believe themselves to be functionaries of the Holy Roman Empire, rather than representatives of a modern botched-together political experiment that was only created in its latest form when German and French politicians misdiagnosed the consequences of the end of the Cold War as recently as 1989 and prescribed the euro.
And so the EU (and especially the eurozone) remains determined to continue on their current course of explicit political integration, without any real mandate to do so from the people of the various member states. But monetary union is only possible if wealthier regions within the union (like Germany and France) are willing to make enormous transfer payments to poorer regions (like Greece). And public tolerance for such wealth transfers can only exist within the structure and confines of a nation state.
The citizens of New York and California are willing to see their tax revenues effectively subsidise states like Alabama and Mississippi because the people share a common American bond – they all bleed red, white and blue. But this is simply not the case in the European Union. The comfortably prosperous middle class German taxpayer sees little reason why he should underwrite inefficiencies and corruption in the Greek economy, and when push comes to shove he will likely sit back and watch the Greek economy implode, because there is not enough common bond between the two peoples. No matter the wishful thinking of the EU elite, there is no common European identity.
In the case of the EU, the structures and symbols of a nation state have been established despite there being no sense of common European identity superseding or even level with the distinct national identities. Greeks feel Greek first and foremost, and Germans feel German above all – or at least their willingness to view other people as sharing a common European identity is contingent upon those people operating according to German customs of industriousness and thrift. And so when monetary union requires the richer countries to subsidise the poorer ones, it is only ever done exceedingly grudgingly – and in the case of the Greek bailout programme, with so many growth-smothering conditions in place that the assistance offered is politically toxic to the debtor state.
So yes, Greece is far from blameless in this crisis – successive Greek governments are to blame for failing to get a grip with that country’s corruption, inefficiency and political denialism, and the people themselves for failing to do any due diligence when selecting their leaders, believing that they could exist within the eurozone without accepting painful reforms.
But democracy means having the right to make mistakes and then to take independent action to remedy these errors where necessary – or even to exacerbate them. It is not for the unelected technocrats of the IMF, the ECB and the Eurogroup to force a growth-sapping political settlement on the Greek economy against the will of the people, or to agitate and manoeuvre for Greek regime change whenever a democratically elected government does not behave in the collegial, give-and-take manner expected by the EU elite.
If the euro is to survive as a currency and the European Union as an institution, wealthy creditor countries like Germany must accept that the price of their longed-for ever-closer political union is an onerous long-term obligation to subsidise and prop up the poorer and less developed economies of other member states such as Greece. It is as simple as that.
But this reality is proving slow to sink in. The last few weeks and months have been no less than a screaming, foot-stamping collective hissy fit by the supposedly mature, dispassionate guardians of our technocratic world order – and all because one small country, feeling bullied and led to sacrificial slaughter, decided to say “no more”.
Alexis Tsipras and his Syriza-led coalition government may not have the right answers – quite often they live in a left-wing alternate universe – but any mistakes and subsequent consequences are for the Greek people alone to make. The European and global financial institutions are already suffering from a huge crisis of legitimacy and a yawning democratic deficit. They will make nothing better by continuing to play hardball with a government and people who feel cornered, victimised and singled out for disproportionately harsh treatment.
Furthermore, the sovereign countries most exposed to Greek government debt should have known that despite the overarching umbrella of the euro, they were still investing in Greece – a less developed and less efficient economy with all the added risk that such investments entail. To now demand that Greece – which is now running a primary budget surplus when debt repayments are factored out – should effectively socialise the losses of these (mostly eurozone) creditor countries is selfish and narrow-minded, not to mention extremely short-termist when one considers the risks and costs of wider contagion and the potential fragmentation of the Eurozone.
By holding a referendum and potentially rejecting the most recent offer from the troika, Greece may well be going to her Armageddon. But that choice is for the Greek people alone, not for unelected technocrats from remote institutions far removed from the day-to-day suffering of the people. By forcing a depression-weary government and people into this corner, the sharp-suited members of the IMF, ECB and Eurozone could well be ushering in virtual Armageddon for thousand if not millions of people outside Greece – all in the service of trying to extract maximum returns on a crushing sovereign debt which all intelligent people recognise can never be repaid. And these unelected bureaucrats have absolutely no popular mandate to do this.
Greek popular democracy with all its flaws, or the EU’s remote and elitist technocracy: though the birthplace of democracy is no more sinned against than sinning, it is Greece which stands on the right side of this argument, and on the right side of history. | {
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Bioethical considerations in translational research: primate stroke.
Controversy and activism have long been linked to the subject of primate research. Even in the midst of raging ethical debates surrounding fertility treatments, genetically modified foods and stem-cell research, there has been no reduction in the campaigns of activists worldwide. Playing their trade of intimidation aimed at ending biomedical experimentation in all animals, they have succeeded in creating an environment where research institutions, often painted as guilty until proven innocent, have avoided addressing the issue for fear of becoming targets. One area of intense debate is the use of primates in stroke research. Despite the fact that stroke kills more people each year than AIDS and malaria, and less than 5% of patients are candidates for current therapies, there is significant opposition to primate stroke research. A balanced examination of the ethics of primate stroke research is thus of broad interest to all areas of biomedical research. | {
"pile_set_name": "PubMed Abstracts"
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Find Recycling Centres
I see a lot of whining about the poor service at this place. What are they expecting? Champagne, cocktails and cucumber sandwiches? it is a tip, you take your rubbish there and then you don't have a big pile of rubbish in your house. Yes, the queues can be diabolical, yes the tailback down the dual carriage is a bit dodgy, I don't know what the site attendants are supposed to do about that though. I get the feeling they are more there to protect the site from idiots who can't read, rather than lug everyone's mess for them - but they helped everyone I heard ask them for help. The tailback would improve quite a lot if the people using the site read the signs and used both lanes to queue. There is a tailback out the gate and folks are beeping horns because their literate brethren are following instructions (the same people whining about queuing on the road i wonder?). Always nice to get out and see people being happy with each other.
I've found the staff friendly and helpful on all visits.
The location and the wait are often bad. Definitely helpful to use the Google's indications of when is least busy!
Great furniture in good nick at great prices as well and the stock changes on a regular basis so you must keep visiting you will find what you're looking for and you should not be waiting to long to find it good place for the community and when you're on a budget 👍😉😃
Give and get free stuff. Here you will find lots of items that people are willing to give away, for FREE! This is instead of taking them to a local landfill site. The aim of this site is to reduce the amount of waste that goes to landfill (20.9 million tonnes of it last year in the UK) and recycling is great news for the environment.
We all know that we need to recycle more - and this is a great way of doing it.
This Microportal is built on the 2day Microportals platform which provides you with 3 click access to local and global information crucial both to your personal and working life. The platform provides live local data on transport, what's on, accommodation, eating out, shopping, sport, religion and weather as well as comprehensive reference and resource sections including TV, radio, online shopping, route planning, health, education and more.
We are not responsible for the content of external internet sites to which any 2day supported sites are linked. We do not share any contact information with other providers. We use cookies to make our site work efficiently. More information on privacy and cookies. | {
"pile_set_name": "Pile-CC"
} | 0 |
Caliente (Jay Santos song)
"Caliente" is a 2013 Spanish language dance hit single by Jay Santos released on the Spanish Blanco y Negro Music record label. It was released on 26 February 2013 becoming the first solo charting hit of Jay santos, after his 2012 success as a featured artist on Spanish DJ and producer Jose de Rico and Spanis-Dominican singer Henry Mendez European hit "Noche de estrellas". Lyrics:
La fiesta esta buena es pa beber pa bailar...
Si tu estas soltera a mi gustaria probar
Track listing
"Caliente" (Radio Edit) (3:22)
"Caliente" (Extended Version) (5:26)
"Caliente" (Acapella) (3:22)
Chart performance
References
Category:2012 singles
Category:Spanish-language songs
Category:2012 songs
Category:Blanco y Negro Records singles | {
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Watch this muscular and ripped bodied gay get to be pleasured by a steamy hot hunk of a guy. Get to see some lewd and steamy bareback anal fuck action as they really give each other some male to male hot blowjob, man on top dick on anal fucking, rear spooning asshole sex. The hunk of a gay really wants his portion of good and gratifying gay on gay anal penetrating bareback fuck. He really wants to give him the best anal fuck he as experienced. Don�t miss out on a jerking and wanking gay cumming at the end of the clip.
Watch this muscular and ripped bodied gay get to be pleasured by a steamy hot hunk of a guy. Get to see some lewd and steamy bareback anal fuck action as they really give each other some male to male hot blowjob, man on top dick on anal fucking, rear spooning asshole sex. The hunk of a gay really wants his portion of good and gratifying gay on gay anal penetrating bareback fuck. He really wants to give him the best anal fuck he as experienced. Don�t miss out on a jerking and wanking gay cumming at the end of the clip. | {
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This is one of my all time favourite lip balms. I am never without several pots of Carmex strewn around the house. It's my go to lip balm when my lips are cracked and sore because I know it will heal my lips within a few days. I normally steer away from balms with petrolatum in them, but this is the exception because it works. Due to the camphor and menthol there is a tingly feeling for a few minutes after application, however it goes away quickly and it's not unpleasant. If you haven't tried Carmex, run, don't walk, and get one (or two) now! | {
"pile_set_name": "Pile-CC"
} | 0 |
6:14 HD
Canela Skin and Megan Inky in an anal orgy 3 143 100% 8 months ago | {
"pile_set_name": "OpenWebText2"
} | 0.026667 |
Lipid profile and genetic status in a familial hypercholesterolemia pediatric population: exploring the LDL/HDL ratio.
Background Familial hypercholesterolemia (FH) is a genetic disorder caused by mutations in genes involved in low-density lipoprotein (LDL) uptake (LDLR, APOB and PCSK9). Genetic diagnosis is particularly useful in asymptomatic children allowing for the detection of definite FH patients. Furthermore, defining their genetic status may be of considerable importance as the compound heterozygous status is much more severe than the heterozygous one. Our study aims at depicting the genetic background of an Italian pediatric population with FH focusing on the correlation between lipid profile and genetic status. Methods Out of 196 patients with clinically suspected FH (LDL-cholesterol [LDL-C] levels above 3.37 mmol/L, cholesterol level above 6.46 mmol/L in a first-degree relative or the presence of premature cardiovascular acute disease in a first/second-degree relative), we screened 164 index cases for mutations in the LDLR, APOB and PCSK9 genes. Results Patients with mutations (129/164) showed increased levels of LDL-C, 95th percentile-adjusted LDL-C and LDL/high-density lipoprotein (HDL) ratio and decreased levels of HDL-C, adjusted HDL-C. The association of the LDL/HDL ratio with the presence of mutations was assessed independently of age, (body mass index) BMI, parental hypercholesterolemia, premature coronary artery disease (CAD), triglycerides by multivariate logistic regression (odds ratio [OR]=1.701 [1.103-2.621], p=0.016). The LDL/HDL ratio gradually increased from patients without mutations to patients with missense mutations, null mutations and compound heterozygotes. Conclusions In conclusion, the LDL/HDL ratio proved to be a better parameter than LDL-C for discriminating patients with from patients without mutations across different genetic statuses. | {
"pile_set_name": "PubMed Abstracts"
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ECS Season 2 - Team list finalised
The list of participants for ECS Season 2 has been consolidated, with both the European and North American qualifiers concluded.
The European and North American qualifiers for ECS Season 2 have concluded, with Team Dignitas finalising the list after breezing by tRICKED eSport. The team now joins the existing 19 qualified teams in the final stage of ECS Season 2, which will be running over the course of the next two months, with the LAN finals taking place on December 7th, 2016.
As a reminder, ECS Season 2 is a follow-up of the very successful first season of the championship, the LAN finals of which took place at the Wembley Arena in London, United Kingdom. G2 Esports were the victors of the tourney, taking away $250,000 in prize money, as well as the Champions' bragging rights. The second season sports the same $1,750,000 prize pool, with the venue for the LAN finals yet to be disclosed.
Europe
North America | {
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22 Gen 2020
Ricette
La pignolata messinese è un dolce eccezionale. Chiamata anche pignolata glassata, è una ricetta tipica del Carnevale, che si trova nelle pasticcerie in tutti i periodi dell’anno.
La pignolata è inclusa nella lista siciliana dei prodotti agroalimentari tradizionali italiani (P.A.T) del Ministero delle Politiche Agricole, Alimentari e Forestali (Mipaaf) con la denominazione di pignolata di Messina. Tuttavia il dolce è molto popolare in tutta la Sicilia orientale e ve ne sono molte varianti come quella ragusana.
Si chiama Pignolata perchè si presenta proprio come un mucchietto di pigne di varie dimensioni ricoperte da una glassa bianca al limone e da una glassa scura solitamente al cioccolato. L’odore di cedro o di bergamotto e cioccolato vanigliato vi trasportano in un altro mondo ricco di felicità.
Le origini della pignolata
La pignolata glassata trae origine dalla pignolata al miele, nella quale un mucchietto di “pigne” fritte venivano ricoperte da miele. Successivamente una nobile famiglia ordinò un dolce che fosse meno povero e più barocco e così venne fuori la pignolata che oggi tutti noi conosciamo con quella dolcissima copertura aromatizzata.
Ricetta Pignolata Messinese
Ingredienti per 6 persone
Impasto
Farina bianca tipo 00 (600 g)
Uova intere (12)
Tuorlo d’uovo (3)
Alcool per liquori (30 g) (facoltativo)
Limone (1) (facoltativo)
Strutto (2 cucchiai scarsi)
Glassa al limone
Zucchero semolato (300 g)
Limone (2)
Albume d’uova (3)
Glassa al cioccolato
Zucchero semolato (300 g)
Cacao (150 g)
Procedimento
Preparazione delle pignette
Disporre a fontana la farina su una spianatoia e fare un buco al centro dove aggiungere le uova e lo strutto. Non fermatevi fino a quando non ottenete un composto morbido e liscio. A questo punto aggiungete lentamente l’alcol, della scorza di limone ed impastate nuovamente fino ad ottenere una pasta omogenea e consistente. Poi lasciate riposare per mezz’ora. Infine dividete la pasta in piccoli pezzi da schiacciare e stendere con un mattarello fino ad ottenere dei bastoncini della grandezza di un dito. Tagliateli in gnocchetti di 2 o 3 centimetri. Metteteli su una piastra da forno a temperatura moderata e cuoceteli per 10 minuti fino a quando non assumeranno il colorito classico di un biscotto. Quando i biscotti saranno pronti disponeteli in pila (come se voleste formare una montagna) e preparate la glassa con la quale ricoprirli.
Preparazione della glassa bianca al limone
Mettere lo zucchero in una casseruola e fatelo imbiondire mescolando sempre nello stesso verso. Montate a neve gli albumi ed incorporate piano piano gli albumi allo zucchero. Aggiungete quindi la buccia di limone grattugiata e mescolate energicamente. Quando la glassa sarà omogenea toglietela dal fuoco e fatela intiepidire prima di versarla su metà biscotti.
Preparazione della glassa di cioccolato
Mettere lo zucchero in una casseruola e fate imbiondire, mescolando sempre nello stesso verso. Quindi aggiungete del cacao e mescolate fino ad ottenere un composto liscio ed omogeneo. Quando la glassa sarà uniforme, toglietela dal fuoco e fatela intiepidire prima di versarla sulla seconda metà dei biscotti. Fate raffreddare naturalmente.
Di Viola Dante
Articoli correlati | {
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} | 0 |
SINDY ROSE – SINDY ROSE IS BACK FOR MORE ANAL SEX AND CREAMPIE
277 0% | {
"pile_set_name": "OpenWebText2"
} | 0.042857 |
Q:
How to run pytorch computation in cuda as default
Now, I want to run pytorch using cuda, then I use model.cuda(), and torch.cuda.LongTensor() for all tensor. Do I have to create tensor using .cuda. explicitly if I have used model.cuda()? Is there a way that makes all computation running in GPU as default?
A:
I do not think you can specify that you want to use cuda tensors by default.
However you should have a look to the pytorch offical examples.
In the imagenet training/testing script, they use a wrapper over the model called DataParallel.
This wrapper has two advantages:
it handles the data parallelism over multiple GPUs
it handles the casting of cpu tensors to cuda tensors
As you can see in L164, you don't have to cast manually your inputs/targets to cuda.
Note that, if you have multiple GPUs and you want to use a single one, launch any python/pytorch scripts with the CUDA_VISIBLE_DEVICES prefix. For instance CUDA_VISIBLE_DEVICES=0 python main.py.
| {
"pile_set_name": "StackExchange"
} | 0 |
Q:
Adding multiple nodegroups to eks
I would like to add multiple nodegroups to eks, each one with different labels. I have successfully deployed a second cloud formation stack and can see the new ec2 instances, but I cannot see the new nodes in the k8s dashboard. Am I missing something?
A:
I was able to fix this by going back and updating the aws-auth configmap, adding a second role map:
apiVersion: v1
kind: ConfigMap
metadata:
name: aws-auth
namespace: kube-system
data:
mapRoles: |
- rolearn: OLD ARN
username: system:node:{{EC2PrivateDNSName}}
groups:
- system:bootstrappers
- system:nodes
- rolearn: NEW ARN
username: system:node:{{EC2PrivateDNSName}}
groups:
- system:bootstrappers
- system:nodes
| {
"pile_set_name": "StackExchange"
} | 0 |
Contents
All of the red-black tree algorithms that have been proposed are characterized by a worst-case search time bounded by a small constant multiple of log N in a tree of N keys, and the behavior observed in practice is typically that same multiple faster than the worst-case bound, close to the optimal log N nodes examined that would be observed in a perfectly balanced tree.
Specifically, in a left-leaning red-black 2-3 tree built from N random keys: | {
"pile_set_name": "Pile-CC"
} | 0 |
Q:
dom-repeat not reflecting data changes
I tried computed properties and various other techniques, but the view is not reflecting my model. The model updates, but the view does not.
View
<div class="selection">
<ul>
<template is="dom-repeat" items="{{state.selection}}">
<li>
<a data-selection$="{{item.id}}" on-click="selection">{{item.name}}</a>
</li>
</template>
</ul>
</div>
<div class="selection sub-selection">
<template is="dom-repeat" items="{{state.subSelection}}">
<ul id$="subselection-{{item.id}}" class$="[[item.active]]">
<template is="dom-repeat" items="{{item.selections}}">
<li>
<a data-selection="{{item.id}}" on-click="selection">{{item.name}}</a>
</li>
</template>
</ul>
</template>
</div>
Model
constructor(){
super()
this.state = {
selection: [
{
id: 1,
name: 'Selection One'
},
{
id: 2,
name: 'Selection Two'
}
],
subSelection: [
{
id: 1,
name: 'Sub Selection One',
active: 'active'
},
{
id: 2,
name: 'Sub Selection Two',
active: ''
}
]
}
selection(event){
event.preventDefault();
let self = this;
let id = parseInt(event.currentTarget.getAttribute('data-selection'));
self.state.subSelection.forEach(function(key, index){
if(key.id === id){
key.active = 'active'
}else{
key.active = ''
}
});
}
The goal would be to click a item in "selection" get its id value and match it to and item in "subSelection" with the same id then changing the active value to "active" or "".
All goes well except the view updating.
A:
So I ended up solving it by this.set(property, value). Polymer is very particular in how this should be achieved as well. But the following worked in my update function:
selection(event){
event.preventDefault();
let self = this;
let id = parseInt(event.currentTarget.getAttribute('data-selection'));
self.state.subSelection.forEach(function(key, index){
if(key.id === id){
self.set("state.subSelection."+index+".active", 'active');
}else{
self.set("state.subSelection."+index+".active", '');
}
);
}
| {
"pile_set_name": "StackExchange"
} | 0 |
The invention relates to a field effect transistor. In particular, it relates to a depletion type n-channel MOS field effect transistor that is used in a circuit to protect against electrostatic breakdown of a magnetic head.
For example, in the case of a magnetic head, such as a GMR magnetic head, incorporated into a magnetic recording device such as an HDD (hard disk drive), a depletion type n-channel MOS field effect transistor is utilized inside a preamplifier IC as a protective circuit to protect the magnetic head from an electrostatic breakdown.
FIG. 8A is a plan view of a depletion type n-channel MOS field effect transistor according to the prior art. As shown in FIG. 8A, gate electrode 41 is formed in a p-type semiconductor region defined on a semiconductor substrate via a gate insulation film, and n-type source region 40S and drain region 40D are formed at surface parts of the p-type semiconductor region at either side part of gate electrode 41. Furthermore, an n-type channel region is formed on the surface part of the p-type semiconductor region immediately below gate electrode 41 so as to form a depletion type n-channel MOS field effect transistor.
Due to increased speeds and capacities of HDDs, there is a demand for depletion type n-channel field effect transistors with lower on-resistances in order to improve the performance of ESD protection elements at low capacitances. To realize this, reductions in the on-resistance and the drain capacitance are required, and a technique for reducing the on-resistance while keeping the drain capacitance unchanged has been adopted.
FIG. 8B is a plan view of a depletion type n-channel MOS field effect transistor according to the prior art. Two gate electrodes 41a and 41b are formed in a p-type semiconductor region provided on a semiconductor substrate via a gate insulation film; and source region 40Sa, drain region 40D, and source region 40Sb are formed in three respective regions that are separated by the two gate electrodes 41a and 41b on the surface part of the p-type semiconductor region. N-channel regions are formed in the p-type semiconductor regions immediately below the two gate electrodes 41a and 41b so as to form a depletion type n-channel MOS field effect transistor.
As opposed to the field effect transistor with the configuration shown in FIG. 8A, in the case of the field effect transistor with the configuration shown in FIG. 8B, because the gate width is set approximately two times as wide while keeping the drain capacitance unchanged, the on-resistance is reduced to approximately one-half. That is, the drain capacitance per unit gate width is reduced by approximately one-half.
However, in recent years, there is a greater demand for faster driving, and further reduction in the on-resistance and the drain capacitance is needed. The invention was devised in light of the aforementioned situation, and its objective is to present a field effect transistor by which the drain capacitance per unit gate width can be reduced further. | {
"pile_set_name": "USPTO Backgrounds"
} | 0 |
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"pile_set_name": "Pile-CC"
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{
"wrongReceiptTrie" : {
"genesisBlockHeader" : {
"bloom" : "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"coinbase" : "0x8888f1f195afa192cfee860698584c030f4c9db1",
"difficulty" : "131072",
"extraData" : "0x42",
"gasLimit" : "3141592",
"gasUsed" : "0",
"mixHash" : "0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421",
"nonce" : "0x0102030405060708",
"number" : "0",
"parentHash" : "0x0000000000000000000000000000000000000000000000000000000000000000",
"receiptTrie" : "0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421",
"stateRoot" : "0xf99eb1626cfa6db435c0836235942d7ccaa935f1ae247d3f1c21e495685f903a",
"timestamp" : "0x54c98c81",
"transactionsTrie" : "0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421",
"uncleHash" : "0x1dcc4de8dec75d7aab85b567b6ccd41ad312451b948a7413f0a142fd40d49347"
},
"sealEngine" : "NoProof",
"expect" : [
{
"network" : ["<=ConstantinopleFix"],
"result" : {
"095e7baea6a6c7c4c2dfeb977efac326af552d87" : {
"balance" : "100"
}
}
}
],
"pre" : {
"a94f5374fce5edbc8e2a8697c15331677e6ebf0b" : {
"balance" : "100000000000",
"nonce" : "0",
"code" : "",
"storage": {}
},
"095e7baea6a6c7c4c2dfeb977efac326af552d87" : {
"balance" : "100",
"nonce" : "0",
"code" : "{ (MSTORE 0 0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff) (LOG1 0 32 0) }",
"storage": {}
}
},
"blocks" : [
{
"expectExceptionALL" : "InvalidReceiptsStateRoot",
"blockHeader" : {
"receiptTrie" : "0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421",
"updatePoW" : "1"
},
"transactions" : [
{
"data" : "",
"gasLimit" : "50000",
"gasPrice" : "10",
"nonce" : "0",
"secretKey" : "45a915e4d060149eb4365960e6a7a45f334393093061116b197e3240065ff2d8",
"to" : "095e7baea6a6c7c4c2dfeb977efac326af552d87",
"value" : "5000"
}
],
"uncleHeaders" : [
]
}
]
}
}
| {
"pile_set_name": "Github"
} | 0 |
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End of preview. Expand
in Dataset Viewer.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Generation procedure
The dataset was constructed using documents from the Pile scored using LDNOOBW wordlist (a score is number of curses per character).
The procedure was the following:
- The first half of the data are 100k documents randomly sampled from the Pile and assigned scores
- The second half are the most cursing document from the Pile, obtained by scoring the whole Pile and choosing 100k documents with highest scores
- Then, the dataset was shuffled and a 9:1 train-test split was done
Basic stats
The average and median scores are 0.013 and 0.019, respectively.
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