I'm Colleen. I am a fullstack developer based in New York, passionate about new technology and its capabilities. I like simple things that work well. I'm always looking for new opportunities, so get in touch with me if you have a project you'd like to discuss
Javascript, HTML5, CSS3, jQuery, Bootstrap3, React.js,Angular 2, Java, Python,C++


10-25 26-40 41-60 Over 60
Female Male
Conventional TV HDTV VCR CD player Mini CD player/recorder DVD player Other
To see the results of the survey so far, click here


Project: Command Session
Description: QuickCalls and response map examples showing various response formats and analysis rules
Category: library
Class: Community
1 QuickCall Library in project://ui_cmd_com
ping
Ping the specified host address and return:
1 = no packet loss
0 = packet loss
| Argument |
Description |
| address |
|
| count |
Number of echo requests to send |
| msgOK |
Pass message |
| msgError |
Fail message |
ping1
Ping the address and use response map to query the data. Return as a CSV response.
| Argument |
Description |
| address |
|
ping2
Ping the address and use response map to query the data. Return as a JSON response.
| Argument |
Description |
| address |
Address or host name to ping |


“Have you ever seen a bagpiper, I wonder? A man who carries under his arm a kind of large dark brown bag, which he fills with air by blowing into it, and out of which he presently forces the same air into a musical pipe by pressing it gently with his elbow. If you never saw such a thing, it is a pity… that large bag, which is the principal part of the instrument, gives you a very exact idea of your stomach; for in fact it really and truly is a stomach itself, and moreover, the stomach of an animal whose interior formation resembles yours very, very much. And who do you suppose is this audacious animal, which presumes to have an inside so like that of a pretty little girl?  It is—it is the pig!” — Jean Mace, The History Of A Mouthful Of Bread


- After school teach
- Design exam
- Document work
- Computer work (Word / Excel)
- Official Document work
- Maintain financial transaction system
- Debug
- Use Java, COBOL and SQL
- Translation
- Documant Writing
- ABAP Programming
- Java
- Python
Extracurricular work


RxCommand<TParam, TRESULT> class
RxCommand
capsules a given handler function that can then be executed by its execute
method.
The result of this method is then published through its results
Observable (Observable wrap Dart Streams).
Additionally it offers Observables for it's current execution state, fs the command can be executed and for
all possibly thrown exceptions during command execution.
An RxCommand
is a generic class of type RxCommand<TParam, TRESULT>
where TPARAM
is the type of data that is passed when calling execute
and
TResult
denotes the return type of the handler function. To signal that
a handler doesn't take a parameter or returns a value use the dummy type Null
- Implemented by
Constructors
Properties
- canExecute → Observable<bool>
-
Observable stream that issues a bool on any change of the current executable state of the command.
Meaning if the command cann be executed or not. This will issue
false
while the command executes but also if the command receives a false from the canExecute Observable that you can pass when creating the Commandread-only - isExecuting → Observable<bool>
-
Observable stream that issues a bool on any execution state change of the command
read-only
- results → Observable<TRESULT>
-
Observable stream that outputs any result from the called handler function. If the handler function has void return type
it will still output one
Null
item so that you can listen for the end of the execution.read-only - thrownExceptions → Observable<Exception>
-
When subribing to
thrownExceptions
you will every excetpion that was thrown in your handler function as an event on this Observable. If no subscription exists the Exception will be rethrownread-only - hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
Methods
-
dispose(
) → void - If you don't need a command any longer it is a good practise to dispose it to make sure all stream subsriptions are cancelled to prevent memory leaks
-
execute(
[TParam param ]) → dynamic - Calls the wrapped handler function with an option input parameter
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
toString(
) → String -
Returns a string representation of this object.
inherited
Operators
-
operator ==(
dynamic other) → bool -
The equality operator. [...]
inherited
Static Methods
-
createAsync(
AsyncAction action, [ Observable<bool> canExecute ]) → RxCommand<Null, Null> -
Creates a RxCommand for an asynchronous handler function with no parameter and no return type
action
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createAsync1<TParam>(
AsyncAction1<TParam> action, [ Observable<bool> canExecute ]) → RxCommand<TParam, Null> -
Creates a RxCommand for an asynchronous handler function with one parameter and no return type
action
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createAsync2<TResult>(
AsyncFunc<TResult> func, [ Observable<bool> canExecute ]) → RxCommand<Null, TResult> -
Creates a RxCommand for an asynchronous handler function with no parameter that returns a value
func
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createAsync3<TParam, TResult>(
AsyncFunc1<TParam, TResult> func, [ Observable<bool> canExecute ]) → RxCommand<TParam, TResult> -
Creates a RxCommand for an asynchronous handler function with parameter that returns a value
func
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createSync(
Action action, [ Observable<bool> canExecute ]) → RxCommand<Null, Null> -
Creates a RxCommand for a synchronous handler function with no parameter and no return type
action
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createSync1<TParam>(
Action1<TParam> action, [ Observable<bool> canExecute ]) → RxCommand<TParam, Null> -
Creates a RxCommand for a synchronous handler function with one parameter and no return type
action
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createSync2<TResult>(
Func<TResult> func, [ Observable<bool> canExecute ]) → RxCommand<Null, TResult> -
Creates a RxCommand for a synchronous handler function with no parameter that returns a value
func
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing -
createSync3<TParam, TResult>(
Func1<TParam, TResult> func, [ Observable<bool> canExecute ]) → RxCommand<TParam, TResult> -
Creates a RxCommand for a synchronous handler function with parameter that returns a value
func
: handler functioncanExecute
: observable that can bve used to enable/diable the command based on some other state change if omitted the command can be executed always except it's already executing


--- layout: post title: FlyingIcon(English) categories: - blog tags: - App Store - Blog status: publish type: post published: true meta: {} author: login: sonson email<EMAIL_ADDRESS>display_name: sonson first_name: '' last_name: '' ---
StoreSales
sonson
Category Entertainment Social Networking
Version 1.0
Available 2010/02/10, Free


Package Modelica® is a standardized and free package that is developed together with the Modelica® language from the Modelica Association, see https://www.Modelica.org. It is also called Modelica Standard Library. It provides model components in many domains that are based on standardized interface definitions. Some typical examples are shown in the next figure:
For an introduction, have especially a look at:
This version of the Modelica Standard Library consists of
that are directly usable (= number of public, non-partial, non-internal and non-obsolete classes). It is fully compliant to Modelica Specification Version 3.2 Revision 2 and it has been tested with Modelica tools from different vendors.
Licensed by the Modelica Association under the 3-Clause
BSD License
Copyright © 1998-2019, Modelica Association and contributors.
This Modelica package is free software and the use is completely at your own risk; it can be redistributed and/or modified under the terms of the 3-Clause BSD license. For license conditions (including the disclaimer of warranty) visit https://modelica.org/licenses/modelica-3-clause-bsd.
Modelica® is a registered trademark of the Modelica Association.
| Name | Description |
|---|---|
| UsersGuide | User's Guide |
| Blocks | Library of basic input/output control blocks (continuous, discrete, logical, table blocks) |
| ComplexBlocks | Library of basic input/output control blocks with Complex signals |
| StateGraph | Library of hierarchical state machine components to model discrete event and reactive systems |
| Electrical | Library of electrical models (analog, digital, machines, multi-phase) |
| Magnetic | Library of magnetic models |
| Mechanics | Library of 1-dim. and 3-dim. mechanical components (multi-body, rotational, translational) |
| Fluid | Library of 1-dim. thermo-fluid flow models using the Modelica.Media media description |
| Media | Library of media property models |
| Thermal | Library of thermal system components to model heat transfer and simple thermo-fluid pipe flow |
| Math | Library of mathematical functions (e.g., sin, cos) and of functions operating on vectors and matrices |
| ComplexMath | Library of complex mathematical functions (e.g., sin, cos) and of functions operating on complex vectors and matrices |
| Utilities | Library of utility functions dedicated to scripting (operating on files, streams, strings, system) |
| Constants | Library of mathematical constants and constants of nature (e.g., pi, eps, R, sigma) |
| Icons | Library of icons |
| SIunits | Library of type and unit definitions based on SI units according to ISO 31-1992 |


{% extends "base.html" %} {% load static %} {% block title %}{{ block.super }} · Show Off Your Rig{% endblock %} {% block content %}
You've just built your dream machine. Or maybe you've just spent a couple thousand on a computer that made you drool. Whether you built it or bought it, you need a way to show it off.
{% if user.is_authenticated %} Start Now {% else %} Login / Register {% endif %}


Optimal Parking
问题描述 :
When shopping on Long Street, Michael usually parks his car at some random location, and then walks to the stores he needs.
Can you help Michael choose a place to park which minimises the distance he needs to walk on his shopping round?
Long Street is a straight line, where all positions are integer.
You pay for parking in a specific slot, which is an integer position on Long Street. Michael does not want to pay for more than one parking though. He is very strong, and does not mind carrying all the bags around.
Can you help Michael choose a place to park which minimises the distance he needs to walk on his shopping round?
Long Street is a straight line, where all positions are integer.
You pay for parking in a specific slot, which is an integer position on Long Street. Michael does not want to pay for more than one parking though. He is very strong, and does not mind carrying all the bags around.
输入:
The first line of input gives the number of test cases, 1 <= t <= 100. There are two lines for each test case. The first gives the number of stores Michael wants to visit, 1 <= n <= 20, and the second gives their n integer positions on Long Street, 0 <= xi <= 99.
输出:
Output for each test case a line with the minimal distance Michael must walk given optimal parking.
样例输入:
2 4 24 13 89 37 6 7 30 41 14 39 42
样例输出:
152 70
地址：http://acm.hdu.edu.cn/showproblem.php?pid=1673
题意：一条路上有n家商店，给出坐标。某人停车在某点后，要逛完所有商店回到车出。停车地点自选，求最少需要步行多远。
mark：唬人，其实就是最大值与最小值差的两倍。
代码：
# include <stdio.h> int main () { int T, n, num ; int max, min ; scanf ("%d", &T) ; while (T--) { scanf ("%d", &n) ; max = -1, min = 1000 ; while (n--) { scanf ("%d", &num) ; if (num > max) max = num ; if (num < min) min = num ; } printf ("%d\n", (max-min)*2) ; } return 0 ; }
解题报告转自：http://www.cnblogs.com/lzsz1212/archive/2012/04/27/2472919.html
(adsbygoogle = window.adsbygoogle || []).push({});
有些说不通吧，只有1个孩子肯定是男孩了
nice!!!
感谢~速度真快，我很喜欢这个网站，从基础看起。
可是看了很多算法书什么的都是说的(start-end)/2哎。。。
&这是C语言？
很有意思，可惜我很菜啊
0000
不是有公式吗？何不直接计算
afsasfasfasf
不错，值得借鉴
第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。
后面的掩码变量部分乍一看比较难理解，其实就是把32位按照一个整体来看待。


To make Ajax calls possible there are two back-end views written.
{% url ajax_json_echo %}
for JSON and
{% url ajax_html_echo %}
for HTML. They both wait 2 seconds
before answering to simulate web latency. HTML one may contain the
JavaScript, it will be run if Request.HTML used.
To use them just make an Ajax request using above URLs. JSON will return everything from POST and GET in the form of:
{ 'post_response': {}, 'get_response': {} }
HTML will return the HTML code provided in POST 'html'
key. Please do follow
examples.


#include <IGameAsset.h>
Inherited by NPC, and Object.
Public Member Functions | |
| IGameAsset () | |
| Default constructor. | |
| ~IGameAsset () | |
| Default constructor. | |
| virtual void | LoadFromFilePath (std::string filePath)=0 |
| Load object from file path. | |
| virtual const void | Destroy ()=0 |
| Destroys the asset. | |
| virtual const std::string & | GetFilePath () const =0 |
| Gets the asset file path. | |
| virtual void | SetFilePath (const std::string &filePath)=0 |
| Sets the asset file path. | |
| virtual const ASS_TYPE | GetOBJType () const |
| Gets the asset type. | |
| virtual const std::string | GetAssetName () const |
| Gets the asset name. | |
| virtual void | SetCamera (Camera *camera)=0 |
| Sets the camera object. | |
| virtual void | SetPosition (glm::vec3 position)=0 |
| Sets the asset position. | |
| virtual void | SetScale (glm::vec3 scale)=0 |
| Sets the asset scale. | |
| virtual void | SetRotation (glm::vec3 rotation)=0 |
| Sets the asset rotation. | |
| virtual const glm::vec3 | GetPosition ()=0 |
| Gets the asset position. | |
| virtual const glm::vec3 | GetRotation ()=0 |
| Gets the asset rotation. | |
| virtual Model * | GetModel ()=0 |
| Gets the assets model object. | |
| virtual void | AddTexutre (GLuint textureId, std::string textureFilePath)=0 |
| Adds a texture to the model. | |
| virtual void | SetAI (ComputerAI *compAI)=0 |
| Sets the assets AI. | |
| virtual ComputerAI * | GetAI ()=0 |
| Gets the assets AI. | |
Protected Attributes | |
| ASS_TYPE | m_assetType |
| Defines the nature of the asset. | |
| std::string | m_assetName |
| Used as the key to access a specific asset. |
This class is an interface class for other assets to inherit from. Contains various helper functions that are to be overridden in the child classes.
Definition at line 44 of file IGameAsset.h.
| IGameAsset::IGameAsset | ( | ) | [inline] |
Default constructor.
Empty default constructor.
Definition at line 54 of file IGameAsset.h.
| IGameAsset::~IGameAsset | ( | ) | [inline] |
| virtual void IGameAsset::LoadFromFilePath | ( | std::string | filePath | ) | [pure virtual] |
Load object from file path.
Virtual function taking a file path as a string parameter to load a file.
| std::string | filePath |
| virtual const void IGameAsset::Destroy | ( | ) | [pure virtual] |
Destroys the asset.
Virtual function to destroy the asset data for memory management.
| virtual const std::string& IGameAsset::GetFilePath | ( | ) | const [pure virtual] |
Gets the asset file path.
Virtual function to return a file path.
| virtual void IGameAsset::SetFilePath | ( | const std::string & | filePath | ) | [pure virtual] |
Sets the asset file path.
Virtual function to set a file path.
| const | std::string& filePath |
| virtual const ASS_TYPE IGameAsset::GetOBJType | ( | ) | const [inline, virtual] |
Gets the asset type.
Virtual function to return the asset type.
Definition at line 110 of file IGameAsset.h.
References m_assetType.
00110 { return m_assetType; }
| virtual const std::string IGameAsset::GetAssetName | ( | ) | const [inline, virtual] |
Gets the asset name.
Virtual function to return the objects name which is its corresponding key to reference it.
Definition at line 120 of file IGameAsset.h.
References m_assetName.
00120 { return m_assetName; }
| virtual void IGameAsset::SetCamera | ( | Camera * | camera | ) | [pure virtual] |
Sets the camera object.
Sets the camera object to the world camera object to retrieve the view and projection matrices.
| Camera* | camera |
| virtual void IGameAsset::SetPosition | ( | glm::vec3 | position | ) | [pure virtual] |
Sets the asset position.
Virtual function to set the position of the asset.
| glm::vec3 | position |
| virtual void IGameAsset::SetScale | ( | glm::vec3 | scale | ) | [pure virtual] |
Sets the asset scale.
Virtual function to set the scale of the asset.
| glm::vec3 | scale |
| virtual void IGameAsset::SetRotation | ( | glm::vec3 | rotation | ) | [pure virtual] |
Sets the asset rotation.
Virtual function to set the rotation of the asset.
| glm::vec3 | rotation |
| virtual const glm::vec3 IGameAsset::GetPosition | ( | ) | [pure virtual] |
| virtual const glm::vec3 IGameAsset::GetRotation | ( | ) | [pure virtual] |
| virtual Model* IGameAsset::GetModel | ( | ) | [pure virtual] |
Gets the assets model object.
Virtual function to get the assets model.
| virtual void IGameAsset::AddTexutre | ( | GLuint | textureId, | |
| std::string | textureFilePath | |||
| ) | [pure virtual] |
Adds a texture to the model.
Virtual function to add a texture to the assets mdoel. This takes a texture Id and relative texture file path and adds it.
| GLuint | textureId | |
| std::string | textureFilePath |
| virtual void IGameAsset::SetAI | ( | ComputerAI * | compAI | ) | [pure virtual] |
Sets the assets AI.
Virtual function to set the AI of the asset.
| ComputerAI* | compAI |
| virtual ComputerAI* IGameAsset::GetAI | ( | ) | [pure virtual] |
Gets the assets AI.
Virtual function to get the AI of the asset.


|
Endian Conversion Functions |
| Boost Home Endian Home Conversion Functions Endian Types |
| Contents |
|
Introduction Reference Synopsis Requirements Functions FAQ Acknowledgements |
| Headers |
|
<boost/endian/conversion.hpp> <boost/endian/types.hpp> |
Header boost/endian/conversion.hpp
provides byte order reversal and conversion functions that convert objects of
the multi-byte built-in
integer types, and also types float
and double,
between native, big, or little endian byte
ordering. User defined types are also supported.
Functions are implemented inline
if appropriate. noexcept
is
elided for compilers that do not support it.
Boost scoped enum emulation is used so that the library still works for compilers that do not support scoped enums.
#define BOOST_ENDIAN_INTRINSIC_MSG "message describing presence or absence of intrinsics" namespace boost { namespace endian { enum class order { big, // big-endian little, // little-endian native = implementation-defined // same as order::big or order::little }; // reverse byte order (i.e. endianness) int8_t reverse_value(int8_t x) noexcept; int16_t reverse_value(int16_t x) noexcept; int32_t reverse_value(int32_t x) noexcept; int64_t reverse_value(int64_t x) noexcept; uint8_t reverse_value(uint8_t x) noexcept; uint16_t reverse_value(uint16_t x) noexcept; uint32_t reverse_value(uint32_t x) noexcept; uint64_t reverse_value(uint64_t x) noexcept; float reverse_value(float x) noexcept; double reverse_value(double x) noexcept; template <class Value> void reverse(Value& x) noexcept; // reverse byte order unless native endianness is big template <class ReversibleValue > ReversibleValue big_endian_value(ReversibleValue x) noexcept; template <class Reversible> void big_endian(Reversible& x) noexcept; // reverse byte order unless native endianness is little template <class ReversibleValue > ReversibleValue little_endian_value(ReversibleValue x) noexcept; template <class Reversible> void little_endian(Reversible& x) noexcept; // synonyms, based on names popularized by BSD (e.g. OS X, Linux) endian.h // "h" for "host" (i.e. native), "be" for "big endian", // "le" for "little endian", "m" for "modify" in place template <class T> T bswap(T x) noexcept {return reverse_value(x);} template <class T> T htobe(T host) noexcept {return big_endian_value(host);} template <class T> T htole(T host) noexcept {return little_endian_value(host);} template <class T> T betoh(T big) noexcept {return big_endian_value(big);} template <class T> T letoh(T little) noexcept {return little_endian_value(little);} template <class T> void bswapm(T& x) noexcept {reverse(x);} template <class T> void htobem(T& host) noexcept {big_endian(host);} template <class T> void htole(mT& host noexcept) {little_endian(host);} template <class T> void betohm(T& big) noexcept {big_endian(big);} template <class T> void letohm(T& little) noexcept {little_endian(little);} // generic byte order conversion template <order From, order To, class ReversibleValue> ReversibleValue convert_value(ReversibleValue from) noexcept; template <order From, order To, class Reversible> void convert(Reversible& x) noexcept; // runtime effective byte order determination order effective_order(order x) noexcept; // runtime byte-order conversion template <class ReversibleValue> ReversibleValue convert_value(ReversibleValue from, order from_order, order to_order) noexcept; template <class Reversible> void convert(Reversible& x, order from_order, order to_order) noexcept; } // namespace endian } // namespace boost
The implementation-defined
text above is either
big
or little
according to the endianness of the
platform.
The template definitions in this header refer to named requirements whose details are set out in this section. User defined types may be used in the function templates in this header only if they meet the function's template parameter requirements.
ReversibleValue
is an object type to be
supplied by a C++ program instantiating a template; x
is a value of
type (possibly const
) ReversibleValue
.
| Expression | Return type | Requirement |
|
|
|
The returned value is the value of |
Reversible
is an object type to be
supplied by a C++ program instantiating a template; x
is a
modifiable lvalue of type Reversible
.
| Expression | Post-condition |
|
|
The order of the constituent bytes of |
See
udt_conversion_example.cpp for an example of a UDT that can used in the
big_endian
,
little_endian
, and
convert
function templates.
int8_t reverse_value(int8_t x) noexcept; int16_t reverse_value(int16_t x) noexcept; int32_t reverse_value(int32_t x) noexcept; int64_t reverse_value(int64_t x) noexcept; uint8_t reverse_value(uint8_t x) noexcept; uint16_t reverse_value(uint16_t x) noexcept; uint32_t reverse_value(uint32_t x) noexcept; uint64_t reverse_value(uint64_t x) noexcept; float reverse_value(float x) noexcept; double reverse_value(double x) noexcept;
Returns:
x
, with the order of its constituent bytes reversed.
template <class Value> void reverse(Value& x) noexcept;
Postconditions: The order of the constituent bytes of
x
are reversed.
template <class ReversibleValue > ReversibleValue big_endian_value(ReversibleValue x) noexcept; template <class Reversible> void big_endian(Reversible& x) noexcept;
Returns (first form):
x
if the native byte order is big endian, otherwisereverse_value(x)
.Effects (second form): None if the native byte order is big endian, otherwise
reverse(x)
.Example:
int32_t x = some-value; big_endian(x); // reverses the byte order of x, unless // the native byte order is big-endian
template <class ReversibleValue > ReversibleValue little_endian_value(ReversibleValue x) noexcept; template <class Reversible> void little_endian(Reversible& x) noexcept;
Returns (first form):
x
if the native byte order is little endian, otherwisereverse_value(x)
.Effects (second form): None if the native byte order is little endian, otherwise
reverse(x)
.Example:
int32_t x = some-value; int32_t y(little_endian(x)); // y has been set to x; the byte order is reversed unless // the native byte order is little-endian.
template <order From, order To, class ReversibleValue> ReversibleValue convert_value(ReversibleValue from) noexcept; template <order From, order To, class Reversible> void convert(Reversible& x) noexcept;
The effective order of an order template parameter is the same as the order template parameter if the parameter is not
order::native
, otherwise it is the constantorder::big
ororder::little
that represents the actual native byte order.Returns (first form):
from
ifFrom
andTo
have the same effective order, otherwisereverse_value(from)
.Effects (second form): None if
From
andTo
have the same effective order, otherwisereverse(x)
.Example:
int32_t x; ... read an external big-endian value into x convert<order::big, order::native>(x); // more generic equivalent of big_endian(x);
order effective_order(order x) noexcept;
Returns:
x
ifx != order::native
, otherwise theorder
constant for the actual native byte order.Example:
effective_order(order::big); // returns order::big effective_order(order::little); // returns order::little effective_order(order::native); // returns order::big if the native order // is big-endian, otherwise order::little
template <class ReversibleValue> ReversibleValue convert_value(ReversibleValue from, order from_order, order to_order) noexcept; template <class Reversible> void convert(Reversible& x, order from_order, order to_order) noexcept;
Returns (first form):
from
ifeffect_order(from_order) == effective_order(to_order)
, otherwisereverse_value(from)
.Effects (second form): None if
effect_order(from_order) == effective_order(to_order)
, otherwisereverse(x)
.Example:
int32_t x; ... read an external value of an endianness know only at runtime into x convert(x, some_order, order::native); // convert to native byte order if needed
See the Endian home page FAQ for a library-wide FAQ.
Why are the template versions of reverse()
and reverse_value()
in a detail namespace?
They are unsafe for general use. Consider reversing the bytes of a
std::pair
as a whole - the bytes fromfirst
would end up insecond
and visa versa, and this is totally wrong!
Why are both value returning and modify-in-place functions provided?
Returning the result by value is the standard C and C++ idiom for functions that compute a value from an argument. Modify-in-place functions allow cleaner code in many real-world endian use cases and are more efficient for user defined types that have members such as string data that do not need to be reversed. Thus both forms are provided.
Tomas Puverle was instrumental in identifying and articulating the need to
support endian conversion as separate from endian integer types. Phil Endecott suggested the form of the value returning signatures. Vicente Botet and other reviewers suggested supporting floating point types and user defined types. General reverse template implementation approach using std::reverse suggested by Mathias Gaunard. Portable implementation approach for 16, 32, and 64-bit integers suggested by tymofey, with avoidance of undefined behavior as suggested by Giovanni Piero Deretta, and a further refinement suggested by Pyry Jahkola. Intrinsic builtins implementation approach for 16, 32, and 64-bit integers suggested by several reviewers, and by David Stone, who provided his Boost licensed macro implementation that became the starting point for boost/endian/detail/intrinsic.hpp.
Pierre Talbot provided the int8_t reverse_value()
and templated
reverse()
implementations.
Last revised: 12 August, 2014
© Copyright Beman Dawes, 2011, 2013
Distributed under the Boost Software License, Version 1.0. See www.boost.org/ LICENSE_1_0.txt


Hi . I am 3rd Year CSE Undergrad from Indian Institute of Technology Jammu.I have faith and confidence in my ability and hard work
Worked in modeling and simulation of Cyber War Games
Taught Data Structures and Algorithms
GPA: 8.04
Board: 89.6%
Apart from being a web developer, I enjoy most of my time being outdoors playing cricket,badminton or footbll . I am a good athlete. In the winter
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows. I spend a large amount of my free time exploring and reading about entrepreneurs and business leads meetings


influenza virus viruses Taiwan []. pandemic human [], {border-style seasonal avian px;} #ffffff;} epidemic spread caused epidemics summer infection (HN) Taiwan, deaths isolated cases humans reported Hong flu new novel related surveillance Kong Taiwan. evolutionary global including px; vaccine {font-family Health Med circulated font-size gene health infections network occurred outbreak outbreaks pandemic, public season severe Asian Infect analysis antigenic circulating double; evolution imported molecular mortality originated poultry resulting strains time virus. viruses. A(HN) Gung Research World border-color border-width epidemiology genetic government rate replaced segments solid; strain studies swine virus, {font-style {font-weight (HN)pdm According Centers Chang Clin Dis Disease HN, Influenza Onee SARS United addition, bold called care city clinical countries, courier; diagnostic disease dynamics early em; epidemiological established following increased lineages migration migrations possible previous pt;} rapid real-time recent respiratory review review, subtypes swine-origin vaccines writing


<<<<<<< HEAD ======= FB.getLoginStatus(function(response) { statusChangeCallback(response); }); <<<<<<< HEAD
>>>>>>> 9dc7664bf5deb3396baf45b370f7d4c2f7cb191f ======= >>>>>>> a59f0c4433dacefece88d8404e22e77ee8b3b65c
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{{unreferenced|date=August 2007}} {{Infobox prepared food | name = Bhatoora | image = | caption = | alternate_name = | country = India | region = North India | creator = | course = | served = | main_ingredient = White flour (maida), yogurt, ghee or oil, yeast | variations = | calories = | other = }} Bhatoora, bhatura or batoora, (Hindi: भटूरा, {{lang-ur|{{Nastaliq|بٹورا}}}}, Punjabi: ਭਟੂਰਾ) is a fluffy deep-fried leavened bread from North India. It is often eaten with chickpea curry, chole or channe, making the traditional dish chole bhature.
A typical recipe includes white flour (maida), yogurt, ghee or oil, and either yeast or baking powder. Once kneaded well, the dough is left to rise, and then small balls of it are either hand-rolled or flattened using a rolling pin. Then the bread pieces are deep fried until they puff up into a lightly browned, soft, fluffy bread, which is elastic and chewy.
A nonfried variant is the kulcha, which can be baked or cooked on a flat pan and is garnished with coriander leaves. It is cooked from the same dough.
{{cookbook}}
{{Indian Dishes}} {{Indian bread}} {{Flatbreads}} {{Doughnut}}
{{india-food-stub}} {{bread-stub}} {{Breakfast-stub}}


We create amazing Webflow templates for creative people all around the world and help brands stand out.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Learn MoreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult.
Consumers are inundated with ads, so it’s vital that your ad catches the eye and immediately grabs interest.
Learn moreConsumers are inundated with ads, so it’s vital that your ad catches the eye and immediately grabs interest.
Learn moreConsumers are inundated with ads, so it’s vital that your ad catches the eye and immediately grabs interest.
Learn moreConsumers are inundated with ads, so it’s vital that your ad catches the eye and immediately grabs interest.
Learn moreA successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult, as it must appeal to, entice, and convince consumers to take action.
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Group RedBlade has released dvdrip of 2013 movie “Canopy”. Enjoy!
Could not find Issue 5 of Abe Sapien(2013)
Uncaught exception: Traceback (most recent call last
Group RedBlade has released dvdrip of 2013 movie “Canopy”. Enjoy!
Could not find Issue 5 of Abe Sapien(2013)
Uncaught exception: Traceback (most recent call last


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Job Status Report
Job started 2021-04-26 08:42:37
Summary
Host Totals:
- Total: 7
- Successful: 5
- Failed: 1
- Missing: 1
Kernel Versions in Environment:
| Kernel 2.6.32-754.35.1.el6.x86_64 |
|---|
| alpha.somecorp.com |
| Kernel 3.10.0-1160.11.1.el7.x86_64 |
| winner.bingo.biz |
| Kernel 3.10.0-1160.24.1.el7.x86_64 |
| beta.somecorp.com edgar.allen.poe |
| Kernel 4.18.0-240.22.1.el8_3.x86_64 |
| brazil.abraxiacorp.zone some.starwars.character |
alpha.somecorp.com
Host info:
- OS: RedHat 6.10, Kernel: 2.6.32-754.35.1.el6.x86_64
- IP addresses: <IP_ADDRESS>, <IP_ADDRESS>
Job Status: Success
Command 1 output:
- This is output from command 1.
beta.somecorp.com
Host info:
- OS: RedHat 7.9, Kernel: 3.10.0-1160.24.1.el7.x86_64
- IP addresses: <IP_ADDRESS>, <IP_ADDRESS>
Job Status: Success
Command 1 output:
- This is output from command 1.
brazil.abraxiacorp.zone
Host info:
- OS: RedHat 8.3, Kernel: 4.18.0-240.22.1.el8_3.x86_64
- IP addresses: <IP_ADDRESS>,<IP_ADDRESS>
Job Status: Success
Command 1 output:
- This is output from command 1.
derpyhost.corp.biz
Host was unavailable at the time of this job; please investigate whether this was a planned or unplanned outage.
edgar.allen.poe
Host info:
- OS: RedHat 7.9, Kernel: 3.10.0-1160.24.1.el7.x86_64
- IP addresses: <IP_ADDRESS>
Job Status: Success
Command 1 output:
- This is output from command 1.
some.starwars.character
Host info:
- OS: RedHat 8.3, Kernel: 4.18.0-240.22.1.el8_3.x86_64
- IP addresses: <IP_ADDRESS>
Job Status: Success
Command 1 output:
- This is output from command 1.
winner.bingo.biz
Host encountered issues during job execution, see information below.
Host info:
- OS: RedHat 7.9, Kernel: 3.10.0-1160.11.1.el7.x86_64
- IP addresses: <IP_ADDRESS>
Job Status: Failed
Command 1 output:
- This is output from command 1.
Command 1 errors:
- Oh no! We had some problems. - This box is tuned to only appear in the template, if we saw any lines saved to STDERR in our command task results.
Generated by Ansible playbook job_report.yaml
These reports can also be found in the Ansible host's reports/ folder.


button
button
scroll into view horizontal
scroll into view vertical
scroll into view both
Horizontal Scroll
horiz here
Vertical Scroll
vert here
Both Scroll
both here
Vertical Scroll
Horizontal Scroll
Both Scroll
Becomes Scrollable
here


{{no footnotes|date=March 2013}} {{Infobox prepared food | name = Graham bread | image = | caption = | alternate_name = | country = United States | region = | creator = Sylvester Graham | course = | type = Bread | served = | main_ingredient = Whole-wheat flour | variations = | calories = | other = }}
Graham bread was invented by Sylvester Graham in 1829 for his vegetarian diet. The Graham bread was high in fiber, made with non-sifted whole-wheat flour.
Graham created a bread free from the chemical additives that were common in white bread at that time such as alum and chlorine. He argued that these chemical additives were unwholesome in that they increased the sex drive, which would in turn deplete the body.
While Graham's specific theories on the dangers of "venereal excess" have no scientific footing, he was correct in his broader stance against additives as both alum and chlorine are now known to be toxic. The use of additives by bakeries was a common practice during the Industrial Revolution to make bread whiter in color and more commercially appealing. Refined bread was a status symbol of the middle class because of its "purity and refinement" in its color and was purchased, rather than home-made.
{{American bread}}
{{bread-stub}}


{% extends "base.html" %} {% block title %}
Medieval catalogues > BENEDICTINES: THE SHORTER CATALOGUES > Glastonbury > Books bequeathed by Abbot John of Taunton (1274-91)
{% endif %}23 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


{% include '/header.html' %} {% if 'u_name' not in session: %} Sorry!
Sorry, but to ask a question, you need to Login first.


I'm posting this url:
http://localhost/emoncms/input/post.json?apikey=72xxxxxxxxxxxxxxxxxxxx683ea8&node=23&json={Sw_Bomba:0,Sw_Bomba_P:0,Sw_Agua:0,Sw_Calor:0,Sw_Frio:0,Alrm:0,Alrm_l:0,Agua:0,R_1:0,
R_2:0,R_3:0,R_4:0,R_5:0,R_6:0,R_7:0,R_8:0,28FF40873D04000B:26.56,28FF60D23C040001:26.50,
28FF0DCD3C04005E:27.5}
Problem is with last values:
28FF40873D04000B:26.56,28FF60D23C040001:26.50,28FF0DCD3C04005E:27.5
i get server message of server error, i think was 401 (im not sure)
But values is going, but of this 3 values only get first.
This problem is with Mysql method and FIWA.
It's for sure a bug, because this not fail with emoncms.org
I tried in my local and emoncms with pasting url in browser, fail is in 9RC2 and this 3 values.
If i change order, always get and refresh first of them.
My php log say:
PHP Fatal error: Call to a member function fetch_array() on boolean in /var/www/html/emoncms-9.0/Modules/event/event_model.php on line 160
PHP Stack trace:
1. {main}() /var/www/html/emoncms-9.0/index.php:0
2. controller() /var/www/html/emoncms-9.0/index.php:122
3. input_controller() /var/www/html/emoncms-9.0/core.php:64
4. Process->input() /var/www/html/emoncms-9.0/Modules/input/input_controller.php:280
5. Process->log_to_feed() /var/www/html/emoncms-9.0/Modules/process/process_model.php:87
6. Process->__call() /var/www/html/emoncms-9.0/Modules/process/process_model.php:87
7. call_user_func_array:{/var/www/html/emoncms-9.0/Modules/process/process_model.php:47}() /var/www/html/emoncms-9.0/Modules/process/process_model.php:47
Is good point to review and fix
Edit - munged APIkey and wrapped long lines - Moderator, BT
Emoncms RC2 json problem (obviously bug)
Submitted by apachebcn on Wed, 21/10/2015 - 19:12I'm posting this url:
http://localhost/emoncms/input/post.json?apikey=72xxxxxxxxxxxxxxxxxxxx683ea8&node=23&json={Sw_Bomba:0,Sw_Bomba_P:0,Sw_Agua:0,Sw_Calor:0,Sw_Frio:0,Alrm:0,Alrm_l:0,Agua:0,R_1:0,
R_2:0,R_3:0,R_4:0,R_5:0,R_6:0,R_7:0,R_8:0,28FF40873D04000B:26.56,28FF60D23C040001:26.50,
28FF0DCD3C04005E:27.5}
Problem is with last values:
28FF40873D04000B:26.56,28FF60D23C040001:26.50,28FF0DCD3C04005E:27.5
i get server message of server error, i think was 401 (im not sure)
But values is going, but of this 3 values only get first.
This problem is with Mysql method and FIWA.
It's for sure a bug, because this not fail with emoncms.org
I tried in my local and emoncms with pasting url in browser, fail is in 9RC2 and this 3 values.
If i change order, always get and refresh first of them.
My php log say:
PHP Fatal error: Call to a member function fetch_array() on boolean in /var/www/html/emoncms-9.0/Modules/event/event_model.php on line 160
PHP Stack trace:
1. {main}() /var/www/html/emoncms-9.0/index.php:0
2. controller() /var/www/html/emoncms-9.0/index.php:122
3. input_controller() /var/www/html/emoncms-9.0/core.php:64
4. Process->input() /var/www/html/emoncms-9.0/Modules/input/input_controller.php:280
5. Process->log_to_feed() /var/www/html/emoncms-9.0/Modules/process/process_model.php:87
6. Process->__call() /var/www/html/emoncms-9.0/Modules/process/process_model.php:87
7. call_user_func_array:{/var/www/html/emoncms-9.0/Modules/process/process_model.php:47}() /var/www/html/emoncms-9.0/Modules/process/process_model.php:47
Is good point to review and fix
Edit - munged APIkey and wrapped long lines - Moderator, BT


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Crypto-tools
Neo private key recovery tool, allows you to generate a WIF from a Nano Ledger S BIP32 Seed (24 words), be carefull with spaces(usually no space at the begin or end and 1 between the words).
NEO BIP39 WIF recovery


Name *
{{formErrors.name || "The name is required."}}
Hosts (semi-optional)
{{formErrors.hosts}}
Uris (semi-optional)
{{formErrors.uris}}
Methods (semi-optional)
{{formErrors.methods}}
Upstream Url *
{{formErrors.upstream_url}}
Strip Uri
Preserve Host
Retries (optional)
Upstream Connect Timeout (optional)
Upstream Send Timeout (optional)
Upstream Read Timeout (optional)
Https Only
Http if terminated


an addon for blending vertex color layers into a single target
INSTALLATION
Install the addon by placing it in the scripts/addons directory or by clicking "install from file" in user preferences. Once installed, make sure it's activated. The addon is called "Render: Vertex Diffuse Bake"
WHY VERTEX COLORS
Vertex colors are floats stored in the mesh data along with the position data. They can be used to add color variation to textured models, add lighting or ambient occlusion effects to models, or to store special information that a shader uses (vertex alpha, texture splatting, etc.), many games use vertex colors almost exclusively, and in the right hands it can be a memorable art style.
Blender has nice tools for manually painting vertex colors on a mesh, and you can render bake to a vertex color target which works well for ambient occlusion or lighting renders, but it's a lot of setup to get a final result of lighting, ambient occlusion, and color data baked together in the right amounts.
I decided to make a compositor for vertex color layers, an addon that could mix and blend instances of the vcol layer data and compile them into a single target.
USAGE
the Vertex Bake UI is in the Render buttons panel
the combined vertex results are written to the 'Col' layer, you should have this layer set to visible, but not part of the bake stack
light and ao baking writes to LIGHT and AO layers (they should be created automatically), but you can set a custom target in the Vertex Bake UI panel (as long as it's an existing layer!)
'add layer pass' will add a layer to the mixing stack, you can change the source vcol data.
Use the edge split modifier to get hard edges for vetex light baking
You have to rebake lighting and/or ao every time you make changes to the scene
if you want to save the combined output, rename the Col layer and make a new 'Col' to replace it.
When using GLSL shading mode, you'll need to check 'Vertex Color Paint' in the object material buttons to see vertex colors in the viewport
typically you want to set the material to 'shadeless' so see the vcol output without realtime lighting applied
A basic stack recipie is to mix ao and lighting, then multiply a color layer
remember you can still paint manually on any of the layers, this is useful for removing AO artifacts and other fine tweaks
ISSUES
overlay blending mode currently doesn't use blending weight
You may need to apply rotation and scale before baking.
The chain icon is supposed to convert a layer into a mask for how the previous and next layers mix, but it doesn't work right at the moment
'Add color pass' is not functional yet, it will eventually add a solid color layer/


dconf
Manage dconf databases.
See also: `dconf-read`, `dconf-reset`, `dconf-write`, `gsettings`.
More information: home page
- Print a specific key value:
dconf read /path/to/key
- Print a specific path sub-directories and sub-keys:
dconf list /path/to/directory/
- Write a specific key value:
dconf write /path/to/key "value"
- Reset a specific key value:
dconf reset /path/to/key
- Watch a specific key/directory for changes:
dconf watch /path/to/key|/path/to/directory/
- Dump a specific directory in INI file format:
dconf dump /path/to/directory/


Keyboard Shortcuts
NetNewsWire has a number of keyboard shortcuts that aren’t listed in the menubar.
The key to reading your news while holding your coffee is the space bar. The space bar scrolls the current article — and, when it’s scrolled all the way, it goes to the next unread article.
This way you can go through all your news via the space bar.
Everywhere…
| Scroll or go to next unread | space |
| Go to next unread | n or + |
| Toggle read status | r or u |
| Mark all as read | k |
| Mark older articles as read | o |
| Mark all as read, go to next unread | l |
| Mark as unread, go to next unread | m |
| Toggle starred status | s |
| Open in browser | b or ⏎ or Enter |
| Previous subscription | a |
| Next subscription | z |
Left sidebar only…
| Collapse | , or ⌥+← |
| Expand | . or ⌥+→ |
| Collapse All (except for group items) | ; or ⌥+⌘+← |
| Expand All | ' or ⌥+⌘+→ |
| Move focus to headlines | → |
Timeline only…
| Move focus to subscriptions | ← |
| Move focus to detail | → |
Detail only…
| Move focus to headlines | ← |


KinetEco is all about making people’s lives better and richer, while working hard to leave the smallest footprint on the planet. We love technology as much as the rest of the world, and we want it to be accessible to everyone. We believe that by powering our world with alternative energy, including solar and wind power, we can get technology to more people.
Take a look at the video below to see what all the excitement is about.


0:00 1.5 grams Piracetam
3:00 150 mg 4-FA
5:00 200 mg Methylone
8:00 One joint Cannabis
A friend recently bought piracetam, which I promptly looked up. There were a few reports that state that using Piracetam before Methylone really lengthened the plateau, from an average of 1.5 to two hours to more like 4-5 hours. Another interesting reported effect was that piracetam mellows the comedown.
The Experience:
Mindset: Excited for electronic show that was happening later that night.
I had already planned to take 4-fa and then Methylone later, because of the synergy between the two substances. 2 hours before the electronic show started, I took the 1.5 grams of Piracetam, and felt no mental effects from it.
Arrived at show, and started taking photos ( my job that night). Took the 4-fa 30 minutes before the show was going to start. People crowded the dance floor and the lights were very well done. I could not stop moving, but I was not rushed like many of the amphetamines that I have experienced. The 4-fa enhanced my communication ability, and I was less inhibited. This lead to me meeting and exchanging information with two of the performers that night. There is never any pupil dilation that I have found with 4-fa (my experiences have always been below 180 mg).
Two hours into the show, it seems like a good time to take the methylone. In retrospect I probably should have dosed less. The comeup was dizzying, very MDMA like, and very unlike my previous methylone experience. I started to overheat for a little bit, and worry about what I was doing to my body, and question why I took another substance when was feeling dandy just on the 4-fa. But I got my thoughts in control, and the overheating stopped. Pupils were extremely dilated.
My thoughts were very calm, and not all over the place. I felt that I was suspended in my own personal water tank that I could bring around with me, so weightless and light I felt. Sound was crisp- a few of my friends were already losing some hearing due to the loud show, but I could hear them everytime. It was harder to start dancing again, but when I got going, it brought back memories of my first and second MDMA experience. I felt that the crowd and the music became serene, and my mind was totally into the moment, thinking about the future was almost impossible. A girl motioned to talk to me, and she pressed her hand against my cheek as she whispered into my ear- Her touch shocked my being to its core- I never knew that touch could be such an electric, mind blowing experience.
The show was over at Midnight. Luckily there was an after party to go to, for I was full of a calm energy. Contrary to many of the experience reports concerning Cannabis usage and Methylone, I found the pairing to be very good. It was as if the Cannabis was adding Color back into my world that was whited out by the ecstasy I experienced.
Ran into a friend who was disappointed by his bunk MDMA. Told him of my experience and he as very much interested in trying the combination.
Conclusions:
Piraceam + Methylone = Return of Magic?
There is definitely something special with piracetam/methylone combinations. Mine is not the first report to tell of how great methylone can be when used with piracetam. I found the 4-fa to be a great intro, since it provides long lasting subtle stimulation without being jittery, at least in my case. Usually I end up with a comedown much later, the same with methylone. However, I had no problems going to sleep after the afterparty. Which is pretty amazing to me considering the amount of stimulants I consumed that night.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Application for log viewing.
Scroll keys: NumPad / left, right, up, down - arrows,
Home, End, (Shift+ / Ctrl+) PgUp, (Shift+ / Ctrl+) PgDown
(Shift allows to jump quickly to any part of log).
Ins - highlight a line.
Enter - store a page or line into "LogViewer.txt"
(appears in the viewed file folder).
Esc - quit.
Program reads only a viewed part of file, so it takes a minimum of
system memory. Maximum size of log is near 2 Gb. If file's bigger,
it will still opens, and accessible persentage of one will be shown at
the status line (in brackets).
Tested on Windows XP, 10.
To open a file with the utility drop it on LogViewer's icon or window.
Also file can be opened with right mouse click and choice of this application.
It's may be convenient to mark the checkbox "open with this program" for files
with ".log" extension.
Homepage link (in Russian).
GitHub' repository.
Developed on Dev-C++


Conspiracy Theory (1997) * * * 1/2 A movie review by Serdar Yegulalp Copyright 1998 by Serdar Yegulalp
CAPSULE: A love story hidden inside a half-serious thriller, and the love story comes out on top.
"A paranoid is someone who knows a LITTLE of what's going on." -- William S. Burroughs
A friend of my mother's is a compulsive collector of odd trivia. One night she came back after a cab ride with six photocopied pages of closely-packed conspiracy theory gibberish, which the cabdriver had apparently foisted off on her after lecturing her about the evils of technology. I guess both she and screenwriter Brian Helgeland must've ridden in the same cab, because CONSPIRACY THEORY takes that kernel of an idea, wraps a love story around it, and milks it quite nicely.
The cabbie in the movie is named Jerry Fletcher, and is played by Mel Gibson. So many of his previous roles featured him playing intensely masculine and assertive roles, so it comes as a shock when we see him gibbering and waving his fingers around like squid's tentacles and motormouthing his way through the opening credits about everything from what they put into the water to who killed JFK. He's a nut.
 Fletcher and Sutton know each other: he comes to her office with another wacko theory every week, and she tolerates his presence, if only because he saved her from some muggers once. But she's clearly only going to take so much of him at a time, and she's not charmed by him. At least at first.
One day Fletcher comes under the attention of some shadowy characters, and is abducted and put through a serio-comic chamber of horrors that makes the "dentist's chair" scene in MARATHON MAN look positively comforting. After that, he's no longer just kooky -- he's charged with the convinction that someone really IS after him. Convincing Alice, on the other hand, is another story.
The plot unspools in several directions at once, but it doesn't come up with anything that leaves us tearing out the cushions of our seats in amazement: the movie isn't working in that direction. The timing in every scene is comic, and the relationship between Jerry and Alice is like a mutant version of a screwball comedy where the society dame is pestered by the resourceful grocery boy. It is, at heart, a relatively sweet-natured story. Sounds strange considering that a good deal of the plot concerns stuff which almost any other movie would have made X-FILES-bleak and BLADE RUNNER-black, but the movie tries something neat and for the most part makes it. Who'd've thunk it: a date movie about MK-ULTRA?
<EMAIL_ADDRESS>EFNet IRC: GinRei [new email address coming soon] ICQ: 934998 http://www.io.com/~syegul another worldly device... NEW WEB SITE: http://cablehouse.dyn.ml.org ...and the mandate of heaven you can crush me as I speak/write on rocks what you feel/now feel this truth
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TABLE OF INTERACTIONS WITH
METHEMOGLOBINIZING MEDICATIONS
From the French ANSM drug interactions document of September 2016, p. 148
METHEMOGLOBINIZING MEDICATIONS CLASS CODE: METGL |
OTHER METHEMOGLOBINIZING MEDICATIONS CLASS CODE: METGL |
Risk of addition of the effects of the methomoglobinizing agents. |
Take into account |


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--- layout: post title: Batching Queries using the ADO.NET Data Services CLient library date: 2009-03-15 17:50:00.000000000 -04:00 type: post published: true status: publish categories: [] tags: - Astoria - DataServiceContext - Demo - Documentation meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2009/03/15/batching-queries-using-the-ado-net-data-services-client-library.aspx orig_site_id: '7524' orig_post_id: '9479899' orig_parent_id: '9479899' orig_thread_id: '642050' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2009/03/15/batching-queries-using-the-ado-net-data-services-client-library.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
Did you know you could execute batch queries using the Data Services client library ?
The API is ExecuteBatch for Synchronous access and Begin/End ExecuteBatch for asynchronous scenarios.
1) Batching a set of URI Queries .
The ExecuteBatch API accepts an array of DataServiceRequest objects.
Consider this example , you want to batch queries to be sent to the “Products” and “Categories” entity sets of a northwind service.
2) Batching Linq Queries
If you want to use strongly types Linq queries instead of string based URI queries , you can use the linq support to generate the linq query
3) How do I Identify the response if I make duplicate requests with the same ElementType ?
Consider this situation , You make 2 requests both of type DataServiceRequest<Products> , how do you identify
which response is for which request ?
One of the scenarios I can think of , is that the entity set contains multiple types related via inheritance .
ex: Customers entity set contains instances of types HappyCustomers and HappierCustomers inheriting from Customers.
The QueryOperationResponse type contains a Query property which returns the DataServiceRequest that this response corresponds to .
You can pass along the requests you made in the batch as a state to the callback and then compare the Query property of the QueryOperationResponse
to match the response to the request.
ex:


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A cellular automaton can be thought as a \(d\)-dimensional space, called cellular space, subdivided in regular cells of uniform shape and size. Each cell embeds a finite automaton, one of the most simple and well known computational models, which can assume a finite number of states. At time \(t=0\), cells are in arbitrary states and the CA evolves step by step by changing the states of the cells at discrete time steps, by applying the same local rule of evolution, i.e. the cell’s transition function, simultaneously (i.e. in parallel) to each cell of the CA. Input for the cell is given by the states of a predefined (small) set of neighboring cells, which is assumed constant in space and time. It is possible to identify an informal definition of cellular automaton by simply listing its main properties:
It is formed by a \(d\)-dimensional space (i.e. the cellular space), partitioned into cells of uniform shape and size (e.g. triangles, squares, hexagons, cubes, etc. - see Figure [fig:cellularspaces]);
The number of cell’s states is finite;
The evolution occurs through discrete steps;
Each cell changes state simultaneously to each other (i.e. they change state concurrently, in parallel) thanks to the application of the cell’s transition function;
The cell’s state transition depends on the states of a set of neighboring cells;
The evolving cell is called central cell and can belong to its neighbourhood;
The neighboring relationship is local, uniform and invariant over time (see Figures [fig:1Dneighborhood] and [fig:2Dneighborhood] for examples of 1D and 2D neighborhoods, respectively).
Despite their simple definition, CA can exhibit very interesting complex global behaviors. Moreover, from a computational point of view, they are equivalent to Turing Machines. This means, in principle, that everything that can be computed can also be by means of a cellular automaton (Church–Turing thesis). Thanks to their computational universality, CA gained a great consideration inside the Scientific Community and were employed for solving a great variety of different complex problems.


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public final class PropNetConverter
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private java.util.Set<Component> |
components
An archive of Components.
|
private java.util.Map<GdlSentence,Proposition> |
propositions
An archive of Propositions, indexed by name.
|
| Constructor and Description |
|---|
PropNetConverter() |
| Modifier and Type | Method and Description |
|---|---|
private void |
addMissingInputs()
Creates an equivalent InputProposition for every LegalProposition where
none already exists.
|
PropNet |
convert(java.util.List<Role> roles,
java.util.List<GdlRule> description)
Converts a game description to a PropNet using the following process
(note that this method and all of the methods that it invokes assume that
description has already been flattened by a PropNetFlattener):
Transforms each of the rules in description into
equivalent PropNet Components.
Adds or gates to Propositions with more than one input.
Adds inputs that are implicitly specified by description.
|
private Proposition |
convertConjunct(GdlLiteral literal)
Converts a literal to equivalent PropNet Components and returns a
reference to the last of those components.
|
private Proposition |
convertHead(GdlSentence sentence)
Converts a sentence to equivalent PropNet Components and returns the
first of those components.
|
private void |
convertRule(GdlRule rule)
Converts a rule into equivalent PropNet Components by invoking the
convertHead() method on the head, and the
convertConjunct method on every literal in the body and
joining the results by an and gate.
|
private void |
convertStatic(GdlSentence sentence)
Converts a sentence to equivalent PropNet Components.
|
private void |
fixDisjunctions()
Creates an or gate to combine the inputs to a Proposition wherever one
has more than one input.
|
private Proposition |
getProposition(GdlSentence sentence)
Returns a Proposition with name term, creating one if none
already exists.
|
private void |
link(Component source,
Component target)
Adds inputs and outputs to source and target such
that source becomes an input to target.
|
private java.util.Map<GdlSentence,Proposition> propositions
private java.util.Set<Component> components
public PropNet convert(java.util.List<Role> roles, java.util.List<GdlRule> description)
description
- A game description.private void addMissingInputs()
private Proposition convertConjunct(GdlLiteral literal)
literal
- The literal to convert to equivalent PropNet Components.private Proposition convertHead(GdlSentence sentence)
sentence
- The sentence to convert to equivalent PropNet Components.private void convertRule(GdlRule rule)
rule
- The rule to convert.private void convertStatic(GdlSentence sentence)
sentence
- The sentence to convert to equivalent PropNet Components.private void fixDisjunctions()
private Proposition getProposition(GdlSentence sentence)
sentence
- The name of the Proposition.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/invalid.20occurence.20of.20recursive.20args.html ---
Not sure if it's a place for routine trouble shooting, but I'm trying to do some theory inside lean, I defined a inductive family but lean is not happy with it. https://ptpb.pw/3O0a
The error is at the constructor satlem, "invalid occurence of recursive arg#5, the body of the functional type depends on it".
I don't think lean likes that you have placed the recursive argument before the variable v
you had:
| satlem (c : context) (cl cl' : clause) : proof c (type.holds cl) → ∀ v : string, proof ((v, type.holds cl) :: c) (type.holds cl') → proof c (type.holds cl')
This works:
| satlem (c : context) (cl cl' : clause) : ∀ v : string, proof c (type.holds cl) → proof ((v, type.holds cl) :: c) (type.holds cl') → proof c (type.holds cl')
Or maybe you got the parentheses wrong? This works too, but means something different:
| satlem (c : context) (cl cl' : clause) : proof c (type.holds cl) → (∀ v : string, proof ((v, type.holds cl) :: c) (type.holds cl')) → proof c (type.holds cl')
Thanks! this works. I also fixed similar issues in the code.
question tho: why is this required? intuitively I don't see how it's invalid.
There was a restriction along the lines that recursive arguments must come after non-recursive args, mostly for convenience of implementation, but last I checked that restriction had been lifted, so I'm not sure why you are getting the error still
maybe because it's inductive family, so impl. could be harder.
There is still a restriction on dependent arguments, none of the arguments after the first recursive argument may occur in other arguments. In this case v
comes after the first recursive argument and occurs in the second recursive argument.
Last updated: Apr 24 2020 at 19:02 UTC


See: Description
| Class | Description |
|---|---|
| AddApplicationHomeSubClusterRequest |
The request sent by the
Router to Federation state
store to map the home subcluster of a newly submitted application. |
| AddApplicationHomeSubClusterResponse |
AddApplicationHomeSubClusterResponse contains the answer from the
FederationApplicationHomeSubClusterStore to a request to insert a
newly generated applicationId and its owner. |
| ApplicationHomeSubCluster |
ApplicationHomeSubCluster is a report of the runtime information of the
application that is running in the federated cluster.
|
| DeleteApplicationHomeSubClusterRequest |
The request to
Federation state store to delete the mapping of
home subcluster of a submitted application. |
| DeleteApplicationHomeSubClusterResponse |
DeleteApplicationHomeSubClusterResponse contains the answer from the
FederationApplicationHomeSubClusterStore to a request to delete the mapping
of home subcluster of a submitted application. |
| GetApplicationHomeSubClusterRequest |
Request class to obtain the home sub-cluster for the specified
ApplicationId . |
| GetApplicationHomeSubClusterResponse |
The response sent by
Federation state
store to a query for the home subcluster of a newly submitted
application. |
| GetApplicationsHomeSubClusterRequest |
Request class to obtain the home sub-cluster mapping of all active
applications.
|
| GetApplicationsHomeSubClusterResponse |
The response sent by
Federation state
store to a query for the home subcluster of all submitted
applications. |
| GetSubClusterInfoRequest |
Request class to obtain information about a sub-cluster identified by its
SubClusterId . |
| GetSubClusterInfoResponse |
Response to a query with
SubClusterInfo about a sub-cluster. |
| GetSubClusterPoliciesConfigurationsRequest |
GetSubClusterPoliciesConfigurationsRequest is a request to the
FederationPolicyStore to obtain all policy configurations. |
| GetSubClusterPoliciesConfigurationsResponse |
GetSubClusterPolicyConfigurationResponse contains the answer from the
FederationPolicyStore to a request to get all the policies configured in the
system via a SubClusterPolicyConfiguration . |
| GetSubClusterPolicyConfigurationRequest |
GetSubClusterPolicyConfigurationRequest is a request to the
FederationPolicyStore to get the configuration of a policy for a
given queue. |
| GetSubClusterPolicyConfigurationResponse |
GetSubClusterPolicyConfigurationResponse contains the answer from the
FederationPolicyStore to a request to get the information about how a policy
should be configured via a SubClusterPolicyConfiguration . |
| GetSubClustersInfoRequest |
Request class to obtain information about all sub-clusters that are
participating in federation.
|
| GetSubClustersInfoResponse |
Response to a query with list of
SubClusterInfo about all
sub-clusters that are currently participating in Federation. |
| SetSubClusterPolicyConfigurationRequest |
SetSubClusterPolicyConfigurationRequest is a request to the
FederationPolicyStore to set the policy configuration corresponding
to a queue. |
| SetSubClusterPolicyConfigurationResponse |
SetSubClusterPolicyConfigurationResponse contains the answer from the
FederationPolicyStore to a request to set for a policy configuration
for a given queue. |
| SubClusterDeregisterRequest |
The request sent to set the state of a subcluster to either
SC_DECOMMISSIONED, SC_LOST, or SC_DEREGISTERED.
|
| SubClusterDeregisterResponse |
SubClusterDeregisterResponse contains the answer from the
FederationMembershipStateStore to a request to deregister the sub cluster. |
| SubClusterHeartbeatRequest |
SubClusterHeartbeatRequest is a report of the runtime information of the
subcluster that is participating in federation.
|
| SubClusterHeartbeatResponse |
SubClusterHeartbeatResponse contains the response from the
FederationMembershipStateStore to a periodic heartbeat to indicate
liveliness from a ResourceManager participating in federation. |
| SubClusterId |
SubClusterId represents the globally unique identifier for a
subcluster that is participating in federation.
|
| SubClusterIdInfo |
This class represent a sub-cluster identifier in the JSON representation
of the policy configuration.
|
| SubClusterInfo |
SubClusterInfo is a report of the runtime information of the subcluster that
is participating in federation.
|
| SubClusterPolicyConfiguration |
SubClusterPolicyConfiguration is a class that represents a
configuration of a policy. |
| SubClusterRegisterRequest |
SubClusterRegisterRequest is a request by a sub-cluster
ResourceManager to participate in federation. |
| SubClusterRegisterResponse |
SubClusterRegisterResponse contains the response from the
FederationMembershipStateStore to a registration request from a
ResourceManager to participate in federation. |
| UpdateApplicationHomeSubClusterRequest |
The request sent by the
Router to
Federation state store to update the home subcluster of a newly
submitted application. |
| UpdateApplicationHomeSubClusterResponse |
UpdateApplicationHomeSubClusterResponse contains the answer from the
FederationApplicationHomeSubClusterStore to a request to register the
home subcluster of a submitted application. |
| Enum | Description |
|---|---|
| SubClusterState |
State of a
SubCluster . |
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Copyright © 2008–2020 Apache Software Foundation. All rights reserved.


Names' Modes of Appearing
John Adams
David Cameron
words David words Cameron words
Donald Trump
Donald J. Trump
Donald John Trump
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words Trump words


Compartmental Systems¶
CompartmentalSystems is a Python package to deal with compartmental models of the form
Since most computations are based on the state transition operator \(\Phi\) that solves
nonlinear models need to be linearized in the first step. Then the package provides numerical computation of
age
compartmental age densities
system age densities
compartmental age mean and higher order moments
system age mean and higher order moments
compartmental age quantiles
system age quantiles
transit time
forward and backward transit time densities
backward transit time mean and higher order moments
forward and backward transit time quantiles
Main modules¶
(comprehensive list under Module Index)
Module for symbolical treatment of smooth reservoir models. |
|
Module for numerical treatment of piece-wise continuous reservoir models. |
|
Module for computing age distributions or moments thereof to be used as start distributions in subsequent simulations. |
Jupyter notebook examples¶
Important Note¶
\(B(t)=(b_{ij}(t))\) is supposed to be a compartmental matrix for all times \(t\):
\(b_{ii}(t)\leq0\) for all \(i\)
\(b_{ij}(t)\geq0\) for \(i\neq j\)
\(\sum\limits_{i=1}^d b_{ij}(t)\leq 0\) for all \(j\)


| 007:177 Khan | : |
Evil is the likeness of the people who reject Our Ayat (proofs, evidences, verses and signs, etc.), and used to wrong their ownselves. |
| 007:177 Maulana | : |
Evil is the likeness of the people who reject Our messages and wrong their own souls. |
| 007:177 Pickthal | : |
Evil as an example are the folk who denied Our revelations, and were wont to wrong themselves. |
| 007:177 Rashad | : |
Bad indeed is the example of people who reject our proofs; it is only their own souls that they wrong. |
| 007:177 Sarwar | : |
How terrible is the example of those who have rejected Our revelations and have done injustice only to themselves! |
| 007:177 Shakir | : |
Evil is the likeness of the people who reject Our communications and are unjust to their own souls. |
| 007:177 Sherali | : |
Evil is the case of the people who treat Our Signs as lies. And it was their ownselves that they wronged. |
| 007:177 Yusufali | : |
Evil as an example are people who reject Our signs and wrong their own souls. |
Concepts/Themes Covered: الديانات > بنو إسرائيل > حالاتهم Religions>Children of Israel>Their Status
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


--- title: LaBrie et al 2008 keywords: fastai sidebar: home_sidebar summary: "Full replication" description: "Full replication" nb_path: "32_labrie2008.ipynb" ---
This notebook reproduces every table in LaBrie et al's 2008 paper on casino gambling behaviour. To get started, download the raw data from the link below from the transparency project's website. The data we need is Raw Dataset 2 (text version) under the title 'Virtual Casino Gambling: February 2005 through February 2007' towards the bottom of the page.
Once you've downloaded and extracted it, you should see a file called RawDataSet2_DailyAggregCasinoTXT.txt - copy this into the same directory as this notebook to begin.
The first step is to import the gamba framework, run the cell below to do so. If this cell throws an error, see the install documentation page to make sure you have gamba installed.
import gamba as gb
With gamba loaded, the next step is to get the data into a usable format. To do this, we call the prepare_labrie_data
method from the data module. This does two things, first it renames the columns to values compatable with the gamba framework, then it saves this newly compatable dataframe as a new csv file (in case it's needed elsewhere).
all_player_bets = gb.data.prepare_labrie_data('RawDataSet2_DailyAggregCasinoTXT.txt')
In two lines of code we're ready to start the analysis, and have each player's transactions individually saved in-case anything goes wrong or we want to take a sample. The next step is to load in the data we just prepared, this uses some magic from the glob library to load every CSV file in the labrie_individuals/
folder into the variable all_player_bets
.
If we want to do any other analysis on all of the players this is where we would add new methods, but let's crack on with calculating each of the measures described in the paper - which includes things like frequency, duration, total amount wagered, etc. Heads up: this calculation can take up to 10 minutes on a normal computer, so now is a great time to share this page with a colleague, or tweet us your feedback!
measures_table = gb.measures.calculate_labrie_measures(all_player_bets, loud=True)
The cell above took a while to finish, to make sure we don't have to do that computation again the output has been saved as gamba_labrie_measures.csv
next to this notebook. We'll come back to this file later to make sure this recreation matches the original, but lets keep going! Time for the first meaningful output, the first table in the original paper - which describes the measures we just calculated using basic statistics;
measures_table = gb.read_csv('gamba_labrie_measures.csv')
labrie_table = gb.statistics.descriptive_table(measures_table)
display(labrie_table)
Nice! Looks like the original! Next up is the Spearman's R coefficient matrix, which tells us how the measures relate to one-another. Run the next cell;
spearman_coefficient_table = gb.statistics.spearmans_r(measures_table)
display(spearman_coefficient_table)
Nice x2! Now that the first two tables from the paper have been reproduced, the measures need splitting into the top 5% and remaining 95% of players by their total amount wagered. The split_labrie_measures
method from the gamba.studies
module does this, returning the two splits as dataframes.
labelled_measures = gb.labelling.top_split(measures_table, 'total_wagered', loud=True)
With the two cohorts seperated, the last part of the paper uses the same descriptive table to present their differences. To reproduce that using gamba, we simply call the same method as the first table on each of the cohorts;
labelled_groups = gb.labelling.get_labelled_groups(labelled_measures, 'top_total_wagered')
top5_table = gb.statistics.descriptive_table(labelled_groups[1])
other95_table = gb.statistics.descriptive_table(labelled_groups[0])
display(top5_table, other95_table)
That's it! In around 10 lines of code the gamba framework can fully replicate the findings of LaBrie et al's 2008 paper. The most interesting question now is how to expand this analysis to uncover more details from the data, or to calculate new behavioural measures and see if they are useful in any way.


Man arrested over murder of estranged wife
KOCHI — Police in Kochi City said Thursday they have arrested a 21-year-old man on suspicion of killing his 22-year-old estranged wife in a hotel room.
According to police, the suspect, Takumi Doi, a temp worker, strangled his wife Ayano to death in a hotel room on Wednesday, Sankei Shimbun reported. He called police from the hotel at around 7 p.m.
Police said the couple had lived in Nagoya from May until August when Ayano moved out and went back to her family’s home in Kochi, complaining that her husband was beating her.
On Aug 29, Doi reported his wife missing to police. Police found her in Kochi and after ascertaining her safety, told Doi she was alright but did not tell him where she was living.
The victim also consulted Kochi police, and they kept her home under surveillance but there were no further complaints from her.
Police said Doi has admitted to killing his wife and quoted him as saying he strangled her because she wanted to break up.
© Japan Today


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object android.support.v4.app.FragmentManager
public abstract class FragmentManager
Static library support version of the framework's android.app.FragmentManager
.
Used to write apps that run on platforms prior to Android 3.0. When running
on Android 3.0 or above, this implementation is still used; it does not try
to switch to the framework's implementation. See the framework FragmentManager
documentation for a class overview.
Your activity must derive from FragmentActivity
to use this. From such an activity,
you can acquire the FragmentManager
by calling
FragmentActivity.getSupportFragmentManager()
.
| Nested Class Summary | |
|---|---|
static interface |
FragmentManager.BackStackEntry
Representation of an entry on the fragment back stack, as created with FragmentTransaction.addToBackStack() . |
static interface |
FragmentManager.OnBackStackChangedListener
Interface to watch for changes to the back stack. |
| Field Summary | |
|---|---|
static int |
POP_BACK_STACK_INCLUSIVE
Flag for popBackStack(String, int)
and popBackStack(int, int) : If set, and the name or ID of
a back stack entry has been supplied, then all matching entries will
be consumed until one that doesn't match is found or the bottom of
the stack is reached. |
| Constructor Summary | |
|---|---|
FragmentManager()
|
| Method Summary | |
|---|---|
abstract void |
addOnBackStackChangedListener(FragmentManager.OnBackStackChangedListener listener)
Add a new listener for changes to the fragment back stack. |
abstract FragmentTransaction |
beginTransaction()
Start a series of edit operations on the Fragments associated with this FragmentManager. |
abstract void |
dump(java.lang.String prefix,
java.io.FileDescriptor fd,
java.io.PrintWriter writer,
java.lang.String[] args)
Print the FragmentManager's state into the given stream. |
static void |
enableDebugLogging(boolean enabled)
Control whether the framework's internal fragment manager debugging logs are turned on. |
abstract boolean |
executePendingTransactions()
After a FragmentTransaction is committed with
FragmentTransaction.commit() , it
is scheduled to be executed asynchronously on the process's main thread. |
abstract Fragment |
findFragmentById(int id)
Finds a fragment that was identified by the given id either when inflated from XML or as the container ID when added in a transaction. |
abstract Fragment |
findFragmentByTag(java.lang.String tag)
Finds a fragment that was identified by the given tag either when inflated from XML or as supplied when added in a transaction. |
abstract FragmentManager.BackStackEntry |
getBackStackEntryAt(int index)
Return the BackStackEntry at index index in the back stack; entries start index 0 being the bottom of the stack. |
abstract int |
getBackStackEntryCount()
Return the number of entries currently in the back stack. |
abstract Fragment |
getFragment(Bundle bundle,
java.lang.String key)
Retrieve the current Fragment instance for a reference previously placed with putFragment(Bundle, String, Fragment) . |
abstract java.util.List<Fragment> |
getFragments()
Get a list of all fragments that have been added to the fragment manager. |
FragmentTransaction |
openTransaction()
Deprecated. |
abstract void |
popBackStack()
Pop the top state off the back stack. |
abstract void |
popBackStack(int id,
int flags)
Pop all back stack states up to the one with the given identifier. |
abstract void |
popBackStack(java.lang.String name,
int flags)
Pop the last fragment transition from the manager's fragment back stack. |
abstract boolean |
popBackStackImmediate()
Like popBackStack() , but performs the operation immediately
inside of the call. |
abstract boolean |
popBackStackImmediate(int id,
int flags)
Like popBackStack(int, int) , but performs the operation immediately
inside of the call. |
abstract boolean |
popBackStackImmediate(java.lang.String name,
int flags)
Like popBackStack(String, int) , but performs the operation immediately
inside of the call. |
abstract void |
putFragment(Bundle bundle,
java.lang.String key,
Fragment fragment)
Put a reference to a fragment in a Bundle. |
abstract void |
removeOnBackStackChangedListener(FragmentManager.OnBackStackChangedListener listener)
Remove a listener that was previously added with addOnBackStackChangedListener(OnBackStackChangedListener) . |
abstract Fragment.SavedState |
saveFragmentInstanceState(Fragment f)
Save the current instance state of the given Fragment. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int POP_BACK_STACK_INCLUSIVE
popBackStack(String, int)
and popBackStack(int, int)
: If set, and the name or ID of
a back stack entry has been supplied, then all matching entries will
be consumed until one that doesn't match is found or the bottom of
the stack is reached. Otherwise, all entries up to but not including that entry
will be removed.
| Constructor Detail |
|---|
public FragmentManager()
| Method Detail |
|---|
public abstract FragmentTransaction beginTransaction()
Note: A fragment transaction can only be created/committed prior
to an activity saving its state. If you try to commit a transaction
after FragmentActivity.onSaveInstanceState()
(and prior to a following FragmentActivity.onStart
or FragmentActivity.onResume()
, you will get an error.
This is because the framework takes care of saving your current fragments
in the state, and if changes are made after the state is saved then they
will be lost.
@Deprecated public FragmentTransaction openTransaction()
public abstract boolean executePendingTransactions()
FragmentTransaction
is committed with
FragmentTransaction.commit()
, it
is scheduled to be executed asynchronously on the process's main thread.
If you want to immediately executing any such pending operations, you
can call this function (only from the main thread) to do so. Note that
all callbacks and other related behavior will be done from within this
call, so be careful about where this is called from.
public abstract Fragment findFragmentById(int id)
public abstract Fragment findFragmentByTag(java.lang.String tag)
public abstract void popBackStack()
public abstract boolean popBackStackImmediate()
popBackStack()
, but performs the operation immediately
inside of the call. This is like calling executePendingTransactions()
afterwards.
public abstract void popBackStack(java.lang.String name, int flags)
name
- If non-null, this is the name of a previous back state
to look for; if found, all states up to that state will be popped. The
POP_BACK_STACK_INCLUSIVE
flag can be used to control whether
the named state itself is popped. If null, only the top state is popped.flags
- Either 0 or POP_BACK_STACK_INCLUSIVE
.public abstract boolean popBackStackImmediate(java.lang.String name, int flags)
popBackStack(String, int)
, but performs the operation immediately
inside of the call. This is like calling executePendingTransactions()
afterwards.
public abstract void popBackStack(int id, int flags)
id
- Identifier of the stated to be popped. If no identifier exists,
false is returned.
The identifier is the number returned by
FragmentTransaction.commit()
. The
POP_BACK_STACK_INCLUSIVE
flag can be used to control whether
the named state itself is popped.flags
- Either 0 or POP_BACK_STACK_INCLUSIVE
.public abstract boolean popBackStackImmediate(int id, int flags)
popBackStack(int, int)
, but performs the operation immediately
inside of the call. This is like calling executePendingTransactions()
afterwards.
public abstract int getBackStackEntryCount()
public abstract FragmentManager.BackStackEntry getBackStackEntryAt(int index)
public abstract void addOnBackStackChangedListener(FragmentManager.OnBackStackChangedListener listener)
public abstract void removeOnBackStackChangedListener(FragmentManager.OnBackStackChangedListener listener)
addOnBackStackChangedListener(OnBackStackChangedListener)
.
public abstract void putFragment(Bundle bundle, java.lang.String key, Fragment fragment)
getFragment(Bundle, String)
will return the current
instance of the same fragment.
bundle
- The bundle in which to put the fragment reference.key
- The name of the entry in the bundle.fragment
- The Fragment whose reference is to be stored.public abstract Fragment getFragment(Bundle bundle, java.lang.String key)
putFragment(Bundle, String, Fragment)
.
bundle
- The bundle from which to retrieve the fragment reference.key
- The name of the entry in the bundle.
public abstract java.util.List<Fragment> getFragments()
public abstract Fragment.SavedState saveFragmentInstanceState(Fragment f)
putFragment(Bundle, String, Fragment)
to
store a fragment reference because that reference may not be valid when
this saved state is later used. Likewise the Fragment's target and
result code are not included in this state.
f
- The Fragment whose state is to be saved.
public abstract void dump(java.lang.String prefix, java.io.FileDescriptor fd, java.io.PrintWriter writer, java.lang.String[] args)
prefix
- Text to print at the front of each line.fd
- The raw file descriptor that the dump is being sent to.writer
- A PrintWriter to which the dump is to be set.args
- Additional arguments to the dump request.public static void enableDebugLogging(boolean enabled)
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Liam Chan
Your Learning plan:
-
What is your long term goal and or career pathway:
To be able to work from home and any in the world
-
What skills (non-technical - human skills) would you like to see developed in yourself while at EDA:
Getting myself more involved with the team. I suffer from heavy anxiety. But I hope to get myself out there
-
A description of your own strengths and limitations:
I’m an introvert and I struggle to get myself involved with new people. But when I do get myself out there I find myself relating to a lot of people. It’s just the first big step I tend to struggle with
-
Based on the above description, a commitment to how you will manage your workload in this programme. This should include - an explanation of how you will manage yourself to work productively and sustainably with other learners, facilitators and industry/community representatives:
As I mentioned above the first big step will be difficult. But I am capable of contributing to smaller groups and I think from their I will be enabled to work myself up
-
A commitment as to how and where you will seek help in a timely way:
Talking to my facilitators. As well as people who I feel comfortable reaching out too as they have usually guided me out from difficult situations
-
A description of what you expect from the facilitation team:
While professionalism is key. I hope that they can see me as an equal individual and not someone lower than them. As I have found myself in toxic environment in my previous studies (Film)
-
Any scheduling information such as block-out times when you are committed to other things. For example, you might have whanau commitments such as school drop-offs. It’s important to plan these in.
Taking care of my family as I’m the only adult who can speak fluent English. As well as having commitments to picking up my little brother from school. When my parents aren’t available. I usually keep in contact with them or talk to them befor egoing out in advance


Energy and speed plot, starting MAGIC_START.
Total energy expended MAGIC_CUMUL_E, total energy regen MAGIC_CUMUL_R.
Voltage and current while charging.
Maximum charge power: MAGIC_MAX_KW kW (MAGIC_MAX_VOLT V / MAGIC_MAX_AMP A or ~ MAGIC_MAX_MPH miles/hour)
SOC and rated range


JUnit is a regression testing framework written by Erich Gamma and Kent Beck. It is used by the developer who implements unit tests in Java.
JUnit is Open Source Software, released under the Common Public License Version 1.0 and hosted on SourceForge.
SourceForge
Common Public License Version 1.0
PDFBox is an open source Java PDF library for working with PDF documents. This project allows creation of new PDF documents, manipulation of existing
documents and the ability to extract content from documents. PDFBox also includes several command line utilities.
Apache
Apache Licence 2.0
With log4j it is possible to enable logging at runtime without modifying the application binary. The log4j package is designed so that these statements
can remain in shipped code without incurring a heavy performance cost. Logging behavior can be controlled by editing a configuration file, without
touching the application binary. Since the Version 0.92 of JPdfUnit the Log4j dependency is removed because the Pdfbox no longer requires it!
Log4j Project
Apache Licence 2.0
A small presentation which introduces JPdfUnit
a short introduction


When this plugin is used with OpenSeadragon and the osd viewer is in sequence mode,
the annotation layer is cleared and all the annotations are removed, this plugin implements
a simple pagination. The function getAllAnnotations
is also added to the
annotator which can be used to get all the annotations pages.


Android development, QA/Automated Testing.
Java, Python, Javascript, SQL, Git.
Data cleaning, analysis, and modeling.
Python, Pandas, NLTK, R, Jupyter Notebook.
Human-Computer Interaction, UI/UX Design.
I might not have all the skills, but I am curious to learn, and am always ready to tackle challenges outside of my comfort zone!


Visualization of complex functions
Complex functions can be visualized by mapping their argument and
phase to a color model (sometimes called
[https://en.wikipedia.org/wiki/Domain_coloring, domain coloring]).
Here we use the [https://en.wikipedia.org/wiki/HSL_and_HSV, HSLA]
color model because it is consistent with HTML canvas. The hue
(H) is mapped to the argument (and is fixed). The saturation (S),
lightness (L) and opacity (A) are roughly consistent with
Velleman's approach [http://www.cs.amherst.edu/~djv/FTAp.pdf,
(pdf)], and can be edited below.
- Edit on left; shift+enter to compute.
- After editing, save as a gist to keep/share.
- See the [gallery, gallery] of examples.