Visualizing and interpreting results¶
Heap profiles think about memory in terms of stack traces: where in the execution flow the code was when a piece of memory was allocated or freed. In heapprof, stack traces are sequences of (file name, line number) pairs; these are the values that were correct while the code was running. (heapprof also has “dressed” stack traces which include the text of that line of code; these are extracted at analysis time, so they only make sense if the code hasn’t changed)
Because a single line of code could be reached through many paths, a point in execution is described by its full stack trace. This still isn’t fully unique (the same code path is often run through many times with different data!) but is a fairly good identifier.
heapprof also focuses on the lines of code at which a particular piece of memory was allocated. It keeps track of when the memory was freed, but not where.
Some possible future improvements would be to allow users to annotate stack traces (this requires a change to Python), or to have heapprof also track where in the code memory was freed. The second would have serious performance implications, so would need a clear use case to justify.
You can think of the event log (the .hpd
file) as a sequence of events that look like (timestamp,
stack trace ID, amount of memory allocated or freed). The .hpm
file maps stack trace ID’s to
actual stack traces. The event digest (the .hpc
file) is a sequence of snapshots, each of which is
a dict from trace ID to the amount of memory allocated there which hasn’t yet been freed.
To understand where your memory is going, there are a few things you often want to look at:
Is memory suddenly being allocated at one point in the program, or is it gradually creeping up?
If memory usage is really high at some point in time, what’s using all that memory? If it’s growing, where did the growth come from?
heapprof has three built-in visualization tools to help with this: time plots, flow graphs, and flame graphs. If you need to dig deeper, the API’s let you look at the numbers directly.
Time Plots¶
Time plots let you view memory changes over time. The simplest way to view one is
r = heapprof.read('filebase')
reader.timePlot().pyplot()
Note: The
pyplot
method requiresmatplotlib
. See the installation instructions for how to install it if you don’t already have it.
The result looks something like this:
A sample time plot
The X-axis is time in seconds, and the Y-axis is memory in bytes. You can see in this image (and by
either looking at the returned heapprof.Reader.TimePlot
object or using the pyplot UI) that memory
usage spiked radically at 3,240 seconds, and drops back down at 5,640 seconds. (These numbers are
multiples of 60 because the digest was created with a time resolution of 60 seconds, which is
clearly fine for a job lasting over 12 hours!)
This plot is often your first place to start analyzing, since it lets you quickly spot times at
which you want to zoom in more deeply. Later on, you might discover a few lines of code which keep
showing up as possible culprits (we’ll see how to do that with flow and flame graphs); if you pass
those to timePlot
, you can see how they compare.
r = heapprof.read('filebase')
reader.timePlot({
'make_proto': '/Users/zunger/src/code/storage/impl/sba.py:406',
'yield_cells': '/Users/zunger/src/code/storage/impl/sba.py:417',
'split_keys': '/Users/zunger/src/code/storage/impl/split.py:57',
'bt_read': '/Users/zunger/src/code/venv/lib/python3.7/site-packages/google/cloud/bigtable/row_data.py:483',
}).pyplot()
This yields a plot like this:
A time plot showing individual lines of code
The top row is the same as the original time plot, showing total memory usage over time. The second
row shows the number of bytes used by each of the lines of code you selected; the bottom row shows
the fraction of all bytes used by each of the lines of code. As you can tell from the legend, the
line labeled bt_read
is steadily about 40% of all memory usage, including during the spike, while
the line marked split_keys
seems to have a more pronounced jump, both in total and fractional
usage.
These are plots from real software! This was a data pipeline reading large volumes from storage.
bt_read
is the line in the client library that copies data from the network response into Python objects;split_keys
is the line that’s separating keys from wire data, whilemake_proto
andyield_cells
were separating out the values. This says that most of the memory is steadily in the buffers coming from the outside world, but during the spike, there are a lot more keys running around. As with any debugging, you’ll need intimate knowledge of what your code is logically doing at any step to find the issue; heapprof just points you in the right direction.
Flow Graphs¶
Flow graphs are directed graphs, where each line of code is represented by a node, and each function call is represented by an edge. The “local usage” of a node is how much memory is allocated by that line of code; the “cumulative usage” of a node is how much memory is allocated by that line, and everything it calls. The usage of an edge is how much memory was allocated by code paths that went along that edge. Flow graphs can show memory usage at one or more timestamps on a single view. From a distance, they look like this:
A flow graph zoomed out
From close up, they look like this:
A flow graph up close
Each box has three parts:
The sequence of lines of code. If each call to a single line leads to another single line, and no significant memory is being allocated by the individual lines, they’re all grouped together in a single box; any memory that’s actually being allocated is (by definition) being allocated by the bottommost line.
The colored boxes at the bottom show memory counts. Each box has the form “local usage / cumulative usage = percent”. Local usage is the amount of memory allocated by that bottommost line of code directly. Cumulative usage is the amount of memory allocated by that line, plus by any functions called by that line. Percentage is simply the cumulative usage as a percent of total memory usage in the program. Each box is color-coded by percentage, moving from blue (small usage) to red (high usage). When there are multiple boxes, this corresponds to multiple timestamps.
The edges coming out of a box indicate different lines of code which could come after this line and are the next places where memory is allocated. The number by the edge is the amount of memory allocated along this path; if there are multiple numbers, they correspond to multiple timestamps.
So in the zoomed-in diagram, we see that bigtable/row_data.py:483
was allocating 15.1kB of memory.
(This is a line in a client library which calls a function that processes a single chunk of data
from the network) After reaching that line, the next line of code which allocates memory is either
row_data.py:510
or row_data.py:501
, which are two different branches of the next function
called, that handle different possible contents of that data chunk. We see that at timestamp 1, a
total of 182.9MB was being allocated in the first path, and 444.1MB in the second; by timestamp 2,
the first one jumped to 542.8MB, while the second jumped only to 579.7MB. Looking at the next boxes,
we see that the first box jumped from light blue to dark blue, meaning that the jump to 542.8MB also
meant it now took up a much larger fraction of system memory; the second box went from purple to
dark blue, meaning that although it took up more bytes, it took up a smaller fraction of total
usage. That is, in the transition between these two timestamps, suddenly a lot more memory was being
taken up by the code path that goes through row_data.py:510
.
A flow graph for a single timestamp can be created with
r = heapprof.read('filebase')
r.flowGraphAt(3800).writeDotFile('flow-3800.dot')
A flow graph comparing multiple timestamps can be created with
r.compareFlowGraphs('flow-3800-vs-4500.dot', 3800, 4500)
Dot files can be viewed with graphviz; on an OS X or UNIX system, for example, you would do this with
dot -Tpdf -o flow-3800-vs-4500.pdf flow-3800-vs-4500.dot
The writeDotFile
and compareFlowGraphs
methods have various options about how the graph will be
rendered – which lines and edges to suppress as “too small to matter,” and whether the size of
nodes should be scaled based on their local usage. Local usage scaling has its pros and cons: it
lets you very quickly see where memory is being allocated, but it draws your eye to the actual line
where the allocation happens, rather than to the longer code path leading there, which is
highlighted by colors. Which setting is most useful will vary as you debug a particular situation.
Flame Graphs¶
Flame graphs were originally designed to view CPU usage, but can also be used to analyze memory. heapprof’s preferred tool to view flame graphs is speedscope. These are interactive objects viewed in a browser; a typical flame graph looks like this.
A flame graph zoomed out
In this diagram, each block represents a line of a stack trace, and its width represents the cumulative amount of memory allocated by that line or by lines that follow it. A line is stacked up on another line if it follows it. This means that wide blocks are where most of the memory is going, so you can quickly see where the biggest memory use is. Unlike a flow graph, however, if a single line of code can be reached through multiple paths, each of those paths will show up as a separate block on the diagram; this means that if each path contributes a little, the fact that this line is a central hub won’t be easily visible.
To help with that, from the flame graph you can flip to a “sandwich” view which looks like this:
Sandwich view of a flame graph
This is simply a list of the lines of code, with cumulative (“total”) and local (“self”) usage listed.
Flame graphs and flow graphs show the same information overall, but they organize it in different ways. Flame graphs are good for quickly seeing where the largest lumps are, but they obscure the calling paths between lines of code; flow graphs show how memory flows through the system, but don’t highlight all types of usage hotspot as vividly. You can (and should!) use both.
To create a flame graph at a single timestamp, run
r = heapprof.read('filebase')
r.writeFlameGraph('flame-3800.txt', 3800)
You can then open this file either on the speedscope website or by installing and running speedscope locally. In either case, you should use the “left heavy” or “snapshot” views; the “time order” view is specific to CPU profiling, and produces nonsense for these flame graphs.
API Access to Data¶
If you want to analyze the data in more depth than just visualizing it, you can use the Reader
API
to directly process the digested contents of a heap profile. Your most important tools for this are:
Reader.snapshotAt
returns aSnapshot
of memory usage at a given relative time. Each snapshot is simply a dict from trace index (a unique ID for each stack trace that shows up in the profile) to the number of live bytes in memory allocated by that stack trace at that time. A trace index of zero means “unknown trace;” this generally means that some subtle issue prevented the profiler from collecting a trace.Reader.rawTrace
andReader.trace
go from a trace index to an actual stack trace. The difference is that a raw trace contains only file names and line numbers, while a full trace also fetches the actual line of code from the file, much like the traces shown in exception tracebacks. Full traces can only be pulled if you have the same source files locally, and at the same paths; thus they’re generally useful if you’re running the analysis on the same machine where you collected the heap profile.
All of the visualization functions above are built on top of this API, so you can look at their implementation for inspiration about ways to analyze the data.
There is also a low-level API which gives you access to the underlying “raw” heap traces, before
they’ve been digested into snapshots. The useful one of these is Reader.hpd
. (There are also
low-level API’s to the hpm
and hpc
files, but they don’t provide any particular value above that
of the high-level API; they’re really implementation details) The HPD
object is an iterable of
HPDEvent
objects, which are the raw items written to disk by the profiler. Each event contains:
timestamp
: The timestamp when the event occurred, in seconds since the epoch. (Note that this is the absolute time, not the relative timestamp! You can get the global start time from the high-level API)traceindex
: The trace index at which the corresponding piece of memory was allocated. (Currently, heapprof does not store the trace index at which the memory was freed)size
: The number of bytes allocated or deallocated; this is positive for an allocation event, negative for a free event.scaleFactor
: Because heapprof is a sampling heap profiler, not all events are logged. This number is a multiplicative scale factor which you should apply tosize
to get an estimate of the total number of bytes that were being allocated or freed during that time.
To go into more depth, continue on to advanced heapprof, or read about the API in depth.


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--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/113488general/34418DeepSpecSummerSchoolLectures.html ---
The videos of the DeepSpec summer school lectures have been uploaded: https://deepspec.org/event/dsss18/videos.html
Unfortunately, it does not include the students talks (among others, my Lean tactic demonstration).
{% endraw %}


Presents an explanatory animation of normal quantile-quantile plots based on a water-filling analogy. The animation presents a normal QQ plot as the parametric plot of the water levels in vases defined by two distributions. The distributions decorate the axes in the normal QQ plot and are optionally shown as vases adjacent to the plot. The package draws QQ plots for several distributions, either as samples or continuous functions.
| Version: | 1.0.0 |
| Imports: | shiny, shinythemes, stats, graphics |
| Suggests: | MASS |
| Published: | 2016-09-14 |
| Author: | Robert Stine |
| Maintainer: | Robert Stine <stine at upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | qqvases results |
| Reference manual: | qqvases.pdf |
| Package source: | qqvases_1.0.0.tar.gz |
| Windows binaries: | r-devel: qqvases_1.0.0.zip, r-release: qqvases_1.0.0.zip, r-oldrel: qqvases_1.0.0.zip |
| OS X binaries: | r-release: qqvases_1.0.0.tgz, r-oldrel: qqvases_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=qqvases to link to this page.


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{% extends 'book_listing/base.html' %} {% block books %} Filter Clear Filters
Author: {{ book.author }} Subject: {{ book.subject }}


Odessa Spring 100 km
Odessa UKR
Race Winners
(37 runnings)
09 Apr 2005
8:53:
15:30
10 Apr
2004
8:07:
14:34
12 Apr
2003
8:01
14:34
13 Apr
2002
8:34
12:31
07 Apr
2001
8:42:
18:22
08 Apr
2000
7:49:
14:27:
10 Apr
1999
7:36:
15:41
11 Apr
1998
7:44:
17:05:
12 Apr
1997
6:55:24
8:08:39
13 Apr
1996
7:50:52
9:49:33
08 Apr 1995
7:21:11
9:48:24
09 Apr
1994
8:07:
14:34:
10 Apr
1993
7:23:27
9:53:35
11 Apr
1992
6:35:52
8:44:17
13 Apr
1991
6:52:34
8:35:
07 Apr
1990
7:24:
10:41:
08 Apr
1989
7:12:
9:02:
09 Apr
1988
7:35:
9:48:
11 Apr
1987
6:34:02
8:45:
12 Apr
1986
6:56:
9:33:
13 Apr
1985
7:01:
10:24:
07 Apr
1984
6:14:12
10:12:02
09 Apr
1983
6:26:26
10:02:
10 Apr
1982
7:04:
10:17:
11 Apr
1981
7:25:
12:37:
12 Apr
1980
8:01:
12:36:
14 Apr
1979
9:40:
12:37:
08 Apr
1978
9:20:
16:10:
09 Apr
1977
9:55:
13:00:
10 Apr
1976
10:58:
14:04:
12 Apr
1975
n/a
n/a
13 Apr
1974
n/a
n/a
Notes: 1974 was the inaugural year. The race started as a walking event that evolved into a running event. Since
1997, it has been held as a walking event. Note that all distances are considered questionable and probably have
varied from year to year. Hence, the event "records" may not mean very much.
10 Apr
2010
7:44:
Igor Tomashevsky (UKR)
13:16:
Elena Shevchenko (UKR)
11 Apr
2009
8:35:
Anatoliy Poteneiko-5
14:36:
Lyusya Shchekotova (UKR)
2008
---
n/a
---
n/a
2007
---
n/a
---
n/a
2006
---
n/a
---
n/a
Anatoliy Poteneiko-4
Olga Akhlopkova (UKR)
Anatoliy Poteneiko-3
nfn Petruk (UKR)
Anatoliy Poteneiko-2
nfn Khaladzhi (UKR)
Oleg Lopatin (UKR)
Svetlana Markova (MDA)
Anatoliy Poteneiko (RUS)
Yanna Krivoshyeva (UKR)
Viktor Lozovik-2
nfn Tsiganova (UKR)
Viktor Lozovik (UKR)
nfn Gylevich (UKR)
Sergey Moskvin (UKR)
nfn Doinikova (UKR)
Piotr Uciechowski (POL)
Olga Ladyina (RUS)
Sergey Korobov-2
Viktoriya Kalyuzhnaya (UKR)
Sergey Moskvin (UKR)
Svetlana Savoskina (RUS)
Anatoliy Poteneiko (UKR)
nfn Petruk (UKR)
Sergey Korobov
Nina Mitrofabova (UKR)
Yuri Starikov (RUS)
Maria Ostrovskaya-3
Sergey Kopylov-2
Maria Ostrovskaya-2
Aleksandr Shaiguzov (RUS)
nfn Dydina (UKR)
Sergey Kopylov (RUS)
Maria Ostrovskaya (UKR)
Valeriy Klementev (RUS)
nfn Ulakhovich (RUS)
Markku Jambeck (FIN)
Nadezhda Tarasova (RUS)
Vitaliy Kovel-6
Anna Dyck (RUS)
Vitaliy Kovel-5
nfn Marimorich-6
Vitaliy Kovel-4
nfn Obrosova-3
Vitaliy Kovel-3
nfn Obrosova-2
Vitaliy Kovel-2
nfn Obrosova (MDA)
Vitaliy Kovel (RUS)
nfn Marimorich-5
Aleksandr Komissarenko (RUS)
nfn Marimorich-4
nfn Kostenko-3
nfn Marimorich-3
nfn Kostenko-2
nfn Pilipenko (UKR)
nfn Kostenko (UKR)
nfn Marimorich-2
nfn Mamchich-3
nfn Marimorich (UKR)
nfn Mamchich-2
nfn Goppe (UKR)
nfn Mamchich (UKR)
nfn Stetsensko (UKR)
Most Wins
(1974-date)
Men
6
Vitaliy Kovel (RUS)
1981-86
Women
6
nfn Marimorich (UKR)
1976-77,1979-81,1985
Prize Money
(ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias
(sec/km)
The race time bias is not calculated for distances beyond 45 km.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
The length of the course seems to vary considerably from year-to-year
and has been assumed to have been short for all years.
Starters/Finishers
Year Start Fin Pct 2005 310 118 38% 2004 254 119 47% 2003 241 103 43% 2002 417 207 50% 2001 403 156 39% 2000 240 199 83% 1999 231 127 55% 1998 203 91 45% .... 1994 254 119 47% 1993 n/a 102 1992 140 98 70% 1991 84 69 82% 1990 511 n/a 1989 1500 860 57% 1988 2111 889 42% 1987 1615 980 61% 1986 1459 1103 76% 1985 1170 851 73% 1984 1186 755 64% 1983 848 530 63% 1982 801 567 71% 1981 632 391 62% 1980 574 266 46% 1979 320 183 57% 1978 244 123 50% 1977 260 142 55% 1976 212 97 46% 1975 197 106 54% 1974 128 64 50% Sums 16545 9435 57%
Note: The number of finishers is most likely the number under 12 hours.
Last Updated on 12 Jun 2010
Contributors: Aleksey Reyer (50), Andy Milroy (50), Zbigniew Jonik (4), Juraj Gasparovic (10)


I have had a good look at the documentation and here and have a few questions before attempting to upgrade from an old version (6 or 7) to 8. I am pretty sure it is using timestore as I remember doing that a while back. The original was the HDD img and I have a number of other things set up on the pi so I do not want to start from scratch. I have taken a clone of the disk so do have a degree of a safety net.
Firstly how do I disable any writing to the database while this is going on. There is a warning in the backup documentation to do so, but not how.
Secondly, looking at the directories to backup, I do not have a /var/lib/phpfiwa or /var/lib/phpfina. I can find /var/lib/phptimeseries and /var/lib/timestore. If the version I have is old enough not to have those directories, is there something else that I need to backup?
Finally, I am guessing that the entry in the crontab needs to be removed earlier in the process to avoid conflicts, but how is the 'newer daemon' installed?
That is all I can find for now :)
Re: Upgrading from old version
Can no one help?
Re: Upgrading from old version
I presume that you are reading this guide.
When I changed to v8 I decided to start afresh, as I had feeds stored in so many different formats, having started with emoncms at it's first beta version, so I deleted the lot!
But in the absence of other comments, I would suggest that you give it a go following that guide, as you have a clone of your installation if it all goes wrong.
Firstly how do I disable any writing to the database while this is going on
I have upgraded several times now and have never stopped writing to the database.
Secondly, looking at the directories to backup...
You have a clone of your installation, it's up to you, but I wouldn't bother!
I am guessing that the entry in the crontab needs to be removed...
I never have.
Possibly not the scientific answer that you were seeking, but I don't think that you will go far wrong.
Paul


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Askf5 Manual Chapter Big Ip Edge Client For Windows
Amazon Com F5 Big Ip Edge Client Appstore For Android
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Programming World
C++ Test
Answer the following questions (1 marks for each correct answer)
Total questions = 22
1.Which of the following type of class allows only one object of it to be created?
A.
Virtual class
B.
Abstract class
C.
Singleton class
D.
Friend class
2.Which of the following is not a type of constructor?
A.
Copy constructor
B.
Friend constructor
C.
Default constructor
D.
Parameterized constructor
3.Which of the following statements is correct?
A.
Base class pointer cannot point to derived class.
B.
Derived class pointer cannot point to base class.
C.
Pointer to derived class cannot be created.
D.
Pointer to base class cannot be created.
4.Which of the following is not the member of class?
A.
Static function
B.
Friend function
C.
Const function
B.
Virtual function
5.Which of the following concepts means determining at runtime what method to invoke?
A.
Data hiding
B.
Dynamic Typing
C.
Dynamic binding
D.
Dynamic loading
6.Which of the following function prototype is perfectly acceptable?
A.
int Function(int Tmp = Show());
B.
float Function(int Tmp = Show(int, float));
C.
Both A and B.
D.
float = Show(int, float) Function(Tmp);
7.Which of the following statement is correct?
A.
C++ enables to define functions that take constants as an argument.
B.
We cannot change the argument of the function that that are declared as constant.
C.
Both A and B.
D.
We cannot use the constant while defining the function.
8.What happens when we try to compile the class definition in following code snippet?
class Birds {};
class Peacock : protected Birds {};
A.
It will not compile because class body of Birds is not defined.
B.
It will not compile because class body of Peacock is not defined.
C.
It will not compile because a class cannot be protectedly inherited from other class.
D.
It will compile succesfully.
9.Which of the following statements is incorrect?
A.
Friend keyword can be used in the class to allow access to another class.
B.
Friend keyword can be used for a function in the public section of a class.
C.
Friend keyword can be used for a function in the private section of a class.
D.
Friend keyword can be used on main().
10.Which of the following statement is correct regarding destructor of base class?
A.
Destructor of base class should always be static.
B.
Destructor of base class should always be virtual.
C.
Destructor of base class should not be virtual.
D.
Destructor of base class should always be private.
11.Which of the following two entities (reading from Left to Right) can be connected by the dot operator?
A.
A class member and a class object.
B.
A class object and a class.
C.
A class and a member of that class.
D.
A class object and a member of that class.
12.How can we make a class abstract?
A.
By making all member functions constant.
B.
By making at least one member function as pure virtual function.
C.
By declaring it abstract using the static keyword.
D.
By declaring it abstract using the virtual keyword.
13.Which of the following statements is correct when a class is inherited publicly?
A.
Public members of the base class become protected members of derived class.
B.
Public members of the base class become private members of derived class.
C.
Private members of the base class become protected members of derived class.
D.
Public members of the base class become public members of derived class.
14.Which of the following statements is correct about the constructors and destructors?
A.
Destructors can take arguments but constructors cannot.
B.
Constructors can take arguments but destructors cannot.
C.
Destructors can be overloaded but constructors cannot be overloaded.
D.
Constructors and destructors can both return a value.
15.Which of the following access specifies is used in a class definition by default?
A.
Protected
B.
Public
C.
Private
D.
Friend
16.Which of the following statement is correct with respect to the use of friend keyword inside a class?
A.
A private data member can be declared as a friend.
B.
A class may be declared as a friend.
C.
An object may be declared as a friend.
D.
We can use friend keyword as a class name.
17.Which of the following keywords is used to control access to a class member?
A.
Default
B.
Break
C.
Protected
D.
Asm
18.Which of the following can access private data members or member functions of a class?
A.
Any function in the program.
B.
All global functions in the program.
C.
Any member function of that class.
D.
Only public member functions of that class.
19.Which of the following type of data member can be shared by all instances of its class?
A.
Public
B.
Inherited
C.
Static
D.
Friend
20.Which of the following also known as an instance of a class?
A.
Friend Functions
B.
Object
C.
Member Functions
D.
Member Variables
21.Constructor is executed when _____.
A.
an object is created
B.
an object is used
C.
a class is declared
D.
an object goes out of scope.
22.Which of the following statements about virtual base classes is correct?
A.
It is used to provide multiple inheritance.
B.
It is used to avoid multiple copies of base class in derived class.
C.
It is used to allow multiple copies of base class in a derived class.
D.
It allows private members of the base class to be inherited in the derived class.


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Locations & Expressions¶
Céu specifies locations and expressions as follows:
Exp ::= NUM | STR | null | true | false
| `(´ Exp `)´
| Exp <binop> Exp
| <unop> Exp
| Exp is Type
| Exp as Type
| Exp as `/´(nohold|plain|pure)
| `&´ (Nat_Call | Loc)
| `&&´ Loc
| Loc [`?´]
| sizeof `(´ (Type|Exp) `)´
| Nat_Call | Code_Call
Loc ::= [`*´|`$´] Loc
| Loc { `[´Exp`]´ | (`:´|`.´) (ID_int|ID_nat) | `!´ }
| `(´ Loc [as (Type | `/´(nohold|plain|pure)) `)´
| ID_int
| ID_nat
| outer
| `{´ <code in C> `}´
/* Operator Precedence */
/* lowest priority */
// locations
* $
: . !
as
// expressions
is as // binops
or
and
!= == <= >= < >
|
^
&
<< >>
+ -
* / %
not + - ~ $$ // unops
/* highest priority */
Primary¶
TODO
Arithmetic¶
Céu supports the arithmetic expressions addition, subtraction, modulo (remainder), multiplication, division, unary-plus, and unary-minus through the operators that follow:
+ - % * / + -
Bitwise¶
Céu supports the bitwise expressions not, and, or, xor, left-shift, and right-shift through the operators that follow:
~ & | ^ << >>
Relational¶
Céu supports the relational expressions equal-to, not-equal-to, greater-than, less-than, greater-than-or-equal-to, and less-than-or-equal-to through the operators that follow:
== != > < >= <=
Relational expressions evaluate to true or false.
Logical¶
Céu supports the logical expressions not, and, and or through the operators that follow:
not and or
Logical expressions evaluate to true or false.
Types¶
Céu supports type checks and casts:
Check ::= Exp is Type
Cast ::= Exp as Type
Type Check¶
A type check evaluates to true or false depending on whether the runtime type of the expression is a subtype of the checked type or not.
The static type of the expression must be a supertype of the checked type.
Example:
data Aa;
data Aa.Bb;
var Aa a = <...>; // "a" is of static type "Aa"
<...>
if a is Aa.Bb then // is the runtime type of "a" a subtype of "Aa.Bb"?
<...>
end
Type Cast¶
A type cast converts the type of an expression into a new type as follows:
- The expression type is a data type:
- The new type is
int
: Evaluates to the type enumeration for the expression type. - The new type is a subtype of the expression static type:
- The expression runtime type is a subtype of the new type: Evaluates to the new type.
- Evaluates to error.
- The new type is a supertype of the expression static type: Always succeeds and evaluates to the new type. See also Dynamic Dispatching.
- Evaluates to error.
- The new type is
- Evaluates to the new type (i.e., a weak typecast, as in C).
Examples:
var Direction dir = <...>;
_printf("dir = %d\n", dir as int);
var Aa a = <...>;
_printf("a.v = %d\n", (a as Aa.Bb).v);
var Media.Video vid = <...>;
await/dynamic Play(&m as Media);
var bool b = <...>;
_printf("b= %d\n", b as int);
Modifiers¶
Expressions that evaluate to native types can be modified as follows:
Mod ::= Exp as `/´(nohold|plain|pure)
Modifiers may suppress the requirement for resource finalization.
References¶
Céu supports aliases and pointers as references.
Aliases¶
An alias is acquired by prefixing a native call
or a location with the operator &
:
Alias ::= `&´ (Nat_Call | Loc)
See also the unwrap operator !
for option variable aliases.
Pointers¶
The operator &&
returns the address of a
location, while the operator *
dereferences
a pointer:
Addr ::= `&&´ Loc
Deref ::= `*´ Loc
Option¶
The operator ?
checks if the location of an
option type is set, while the operator !
unwraps the
location, raising an error if it is unset:
Check ::= Loc `?´
Unwrap ::= Loc `!´
Sizeof¶
A sizeof
expression returns the size of a type or expression, in bytes:
Sizeof ::= sizeof `(´ (Type|Exp) `)´
Calls¶
See Native Call and Code Invocation.
Vectors¶
Index¶
Céu uses square brackets to index vectors:
Vec_Idx ::= Loc `[´ Exp `]´
The index expression must be of type usize
.
Vectors start at index zero. Céu generates an error for out-of-bounds vector accesses.
Length¶
The operator $
returns the current length of a vector, while the operator
$$
returns the max length:
Vec_Len ::= `$´ Loc
Vec_Max ::= `$$´ Loc
TODO: max
The vector length can also be assigned:
vector[] int vec = [ 1, 2, 3 ];
$vec = 1;
The new length must be smaller or equal to the current length, otherwise the assignment raises a runtime error. The space for dynamic vectors shrinks automatically.
Constructor¶
Vector constructors are only valid in assignments:
Vec_Cons ::= (Exp | `[´ [LIST(Exp)] `]´) { `..´ (Exp | Lua_Stmts | `[´ [LIST(Exp)] `]´) }
Examples:
vector[3] int v; // declare an empty vector of length 3 (v = [])
v = v .. [8]; // append value '8' to the empty vector (v = [8])
v = v .. [1] .. [5]; // append values '1' and '5' to the vector (v = [8, 1, 5])
Fields¶
The operators .´ and
:´ specify fields of
data abstractions and
native structs:
Dot ::= Loc `.´ (ID_int|ID_nat)
Colon ::= Loc `:´ (ID_int|ID_nat)
The expression e:f
is a sugar for (*e).f
.
TODO: ID_nat to avoid clashing with Céu keywords.


{block name="head"}{/block}
{include file="common/header" /} {block name="container"}{/block} {block name="footer"}{/block}


EnclaveClient class which provides methods for invoking enclave's entry points.
More...
|
| EnclaveOutput | enterAndRun (EnclaveInput enclaveInput) |
| | Enters the enclave and invokes its execution entry point. More...
|
| |
| EnclaveOutput | enterAndRun (EnclaveInput enclaveInput, ExtensionRegistry registry) |
| | Enter the enclave and invokes its execution entry point. More...
|
| |
| void | close () |
| | This function hands over control to the child class by calling closeNative(long) for cleaning up the native resources and memory. More...
|
| |
EnclaveClient class which provides methods for invoking enclave's entry points.
◆ closeNative()
| void com.asylo.client.EnclaveClient.closeNative |
( |
long |
pointer | ) |
|
|
inlineprotected |
◆ enterAndRun() [1/2]
| EnclaveOutput com.asylo.client.EnclaveClient.enterAndRun |
( |
EnclaveInput |
enclaveInput | ) |
|
|
inline |
Enters the enclave and invokes its execution entry point.
This method uses a default protobuf ExtensionRegistry. Consider using enterAndRun(EnclaveInput, ExtensionRegistry) if you are expecting some result back otherwise you will have to serialize and deserialize again to get your extension from protobuf.
- Parameters
-
| enclaveInput | Input to the enclave which will be used in invoking entry point method. |
- Returns
- Output from the enclave.
- Exceptions
-
◆ enterAndRun() [2/2]
| EnclaveOutput com.asylo.client.EnclaveClient.enterAndRun |
( |
EnclaveInput |
enclaveInput, |
|
|
ExtensionRegistry |
registry |
|
) |
| |
|
inline |
Enter the enclave and invokes its execution entry point.
- Parameters
-
| enclaveInput | Input to the enclave which will be used in invoking entry point method. |
| registry | A user protobuf registry which will be used generate EnclaveOutput. |
- Returns
- Output from the enclave.
- Exceptions
-
The documentation for this class was generated from the following file:


There are no naturally abundant elements (on Earth) with atomic number greater than 92 (with the highest being uranium). Heavier elements have been around in the young Earth, or in the interstellar dust from which our solar system was created. However, they were too short-lived to remain in significant quantities today.
Heavier elements than uranium are only present due to artificial production. They are produced in substantial amounts by the neutron irradiation used in the nuclear fuel cycles. In this manner, heavier elements are gradually produced by consecutive neutron capture reactions, starting from the uranium-238 present in the nuclear fuel.
In particular, californium-252 has 6 protons more than natural uranium, and it has in total 14 more nucleons (considering both the protons and neutrons). Consequently, the original uranium atom must have captured 14 neutrons, and also undergone 6 beta decays, in order to create a californium-252 nucleus. In addition, many atoms would be lost on the way, due to induced fission reactions that are also caused by the neutron absorption, or due to undergoing the wrong type of decay somewhere on the way. All in all, thousands of neutron absorptions are needed for every Cf-252 nucleus that is produced. It is a challenge to expose the original material for so much neutron fluence for so little californium produced. Therefore, it is impressive that any amounts of californium can be manufactured at all, and that it exists on the market. Cf-252 is one of the most expensive substances in the world (easily beating diamond or gold).
The reason why Cf-252 is worth all this effort to produce, is the unusual decay properties. It decays relatively often with spontaneous fission, and in this process on average 3.8 neutrons are emitted from the lighter fission fragments. A single microgram of Cf-252 produces millions of neutrons every second. Such a strong source of neutron has both scientific and industrial uses. One example is the use in nuclear reactors, where it can be used to start the nuclear chain reaction by feeding neutrons to the core.
© 2020 Zs. Elter, P. Andersson and A. Al-Adili


FlagGroup.CodingKeyStrategy
An enumeration describing how the key should be calculated for this specific FlagGroup
.
enum CodingKeyStrategy
Enumeration Cases
`default`
Follow the default behaviour applied to the FlagPole
case `default`
kebabcase
Converts the property name into a kebab-case string. e.g. myPropertyName becomes my-property-name
case kebabcase
snakecase
Converts the property name into a snake_case string. e.g. myPropertyName becomes my_property_name
case snakecase
skip
Skips this FlagGroup
from the key generation
case skip
customKey
Manually specifies the key name for this FlagGroup
.
case customKey(: String)
Methods
codingKey(label:)
internal func codingKey(label: String) -> CodingKeyAction


[gecode-users] question about mult propagator (compiler flags)
Guido Tack
tack at ps.uni-sb.de
Tue Sep 19 15:36:50 CEST 2006
Hi.
> I think the problem I am facing with multiplication isn't in the
> propagator, it is related with gcc optimization flags and function
> inlining.
I've also tried to investigate this, but I can't reproduce the
problem here on my machines. However, it seems we're pushing gcc to
the limit as it comes to inlining. On Intel Macs with Mac OS X, some
set propagators go into infinite loops, and I haven't been able to
figure out yet what goes wrong. Removing -ffast-math didn't have any
positive effect on this, only disabling inlining makes things work.
> Even further, when debug option is turned on from configure all
> works (i think debug option disables compiler optimization and
> function inlining).
Right, in particular it disables inlining and forces the compiler to
put all functions in some object file. I'm not really sure how to
debug this, it's hard to hunt bugs that only appear in non-debug
builds under very special conditions... Often, already putting some
cout statements into the code changes the behaviour. Very weird.
Cheers,
Guido
--
Guido Tack
Programming Systems Lab, Saarland University, Germany
http://www.ps.uni-sb.de/~tack
More information about the gecode-users
mailing list


Transaction information is returned as key/value pairs of the query string passed in the URL of a GET request.
| Variable | Type | Description |
|---|---|---|
| trnApproved | Binary digit | 1 - transaction is approved, 0 - transaction is declined. |
| trnId | 8 digits | The unique identifier the transaction. |
| authCode | Up to 32 alphanumeric characters | The unique identifier from the bank for approved transaction. |
| messageID | Up to 3 digits | The response code from the bank. See table. |
| messageText | Characters | Description of the messageID. |
| responseType | Single character | Always “T” as a completed transaction response. |
| trnAmount | Up to 9 digits | The amount of the transaction. |
| trnDate | 20 alphanumeric | The date and time the transaction was processed. |
| trnOrderNumber | Up to 30 alphanumeric characters | The order number. Defaults to the trnId value. |
| trnLanguage | 3 alpha chars | eng - English, fre - French. |
| trnCustomerName | - | Always blank for Checkout transactions. |
| trnEmailAddress | - | Always blank for Checkout transactions. |
| trnPhoneNumber | - | Always blank for Checkout transactions |
| cvdID | Single digit | See table. |
| cardType | 2 alpha chars | See table. |
| trnType | Up to 3 alphanumeric characters | The type of transaction. See table. |
| paymentMethod | 2 character alphanumeric | CC - credit card, IO - Interac Online. |
| ref1 | Up to 256 alphanumeric characters | Custom order reference. |
| ref2 | Up to 256 alphanumeric characters | Custom order reference. |
| ref3 | Up to 256 alphanumeric characters | Custom order reference. |
| ref4 | Up to 256 alphanumeric characters | Custom order reference. |
| ref5 | Up to 256 alphanumeric characters | Custom order reference. |
| eci | Single digit | See table. |
| Variable | Type | Description | | ——– | —- | ———– | | avsProcessed | Binary digit | 1 is a successful attempt, 0 is no attempt to perform AVS. | | avsID | Single digit | ID number from an AVS response. See table. | | avsResult | Binary digit | Both address and postal/ZIP code match. 1 is a match, 0 is a mismatch. | | avsAddrMatch | Binary digit | Street address match. 1 is a match, 0 is different. | | avsPostalMatch | Binary digit | Postal/ZIP code match. 1 is a match, 0 is different. | | avsMessage | Up to 128 alphanumeric characters | Description of the avsID. |
| Variable | Type | Description | | ——– | —- | ———– | | ioConfCode | Up to 15 alphanumeric characters | INTERAC Online confirmation code. | | ioInstName | Up to 30 alphanumeric characters | INTERAC Online financial institution. |
| Variable | Type | Description | | ——– | —- | ———– | | rspCavResult | Single digit | CAV. 1 - validation passed, 2 - validation failed. | | rspCodeAddrN | 3 digits | CAV. Up to four address codes will be returned for each CAV item. (respCodeAddr1, rspCodeAddr2, etc) | | rspCodeCav | 3 digits | If CAV service is enabled with service version 1.0, a single Equifax response message will be returned here. | | rspCodeCreditN | 3 digits | CAV. Up to four address codes will be returned for each CAV item. (rspCodeCredit1, rspCodeCredit2, etc) CAV. | | rspCodeDob | 4 digits | CAV. A Date of Birth match response code. | | rspCodeSafeScan | Single character | 1 to 20 detailed SafeScan codes will be returned in this parameter. Requires service subscription. In SafeScan versions 1.1 and higher, multiple codes are appended with a separator. | | rspCodeSafeScanID | Single character | 1 to 20 SafeScanID codes may be returned. Requires service subscription. In SafeScan ID version 1.1 and higher, multiple values are returned with a separator. | | rspCustomerDec | Alphanumeric | Provides information specific to any consumer declaration recorded on the consumer’s credit file. |


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For iPhone, iPad, and Android users, be sure your product’s firmware is up to date through the Bose connect app.
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Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
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Across: 8. Some mathematics fortified innate lunacy (15) 9. Some sort of fools spiral out of control (6) 10. Irons stimulate - stimulate back! (8) 11. Optimists... panned out badly with these (15) 12. Chaotic results if knocked back, as due to be contracted (7) 13. Variety of characters from the Bard (7) 16. Rum initiation as cleverly working with area's limitation (15) 18. Jug of wine, as esteemed gift (8) 19. To Nigeria, another foreigner (6) 20. Special train late only in crossing borders (15) Down: 1. Filipino miscast - bad stereotyping! (15) 2. Fair arrangement dismisses Chad's children for instance (8) 3. Tupi's oppression - bad stereotyping! (15) 4. Erroneous costing for seeking divine knowledge (7) 5. Rum initiation as cleverly working with area's limitation (15) 6. Ernest, travelling writer (6) 7. Program layout compliant with PC procedure (15) 14. They feel for stake Anne lost (8) 15. Slap ten around, then nine, now eight (7) 17. Cans of beer, as esteemed gift (6)


In this section you can recover the private key of a CHX address generated with an old derivation path (prior to 31.05.2019).
Enter your recovery phrase used for generating the address and then click "Recover". Identify your address
and click the "Show Private Key" button on the right to get the Private Key
info_outline
You can now restore the wallet using this private key.
info_outline
It is strongly advised that you transfer your funds into a newly (recoverable) generated address that can always be recovered with the recovery phrase.
Using a private key is not recommended way to access your wallet. Due to the sensitivity of the information involved, this option should only be used in offline settings by experienced users.


Crowdfunding campaign for Garstang Gymastics Centre
by Fiona FinchA £30,000 fundraising appeal has been launched to enable Garstang School of Gymnastics to take its next step.
An appeal for a new floor has been launched to enable talented pupils at the school to “achieve their potential”.
Club spokeswoman Isobel Riley who has set up a special GoFundMe page on behalf of the school’s fundraising committee, says the floor is much needed so gymnasts can “train to their maximum”.
She continued: “A new floor is key for all our gymnasts in their training and by far the most expensive piece of equipment to buy for a club.”
A target date of next April has been set to raise the funds for the Longmoor Lane facility at Nateby, on the outskirts of Garstang.
Now Isobel is appealing to supporters to spread the word that donations are welcome.
The school trains gymnasts at all levels from those competing at club and elite levels on regional, national and international stages to pupils attending the school for recreation.
Isobel said: “Our gymnasts train hard all year round; the club is an amazing asset for community providing a place for young people to push their limits, learn new skills and develop confidence. "
To access the Go Fund Me page see gf.me/v/c/3m77/new-floor-for-garstang-school-of-gymnastics


This example loads the html-beautifier by using a relative path in the require call to the beautify-html.js file. (also works works with absolute paths)
require(["../lib/beautify-html"],function(html_beautify){ var input = document.getElementById("input").value; var output = html_beautify.html_beautify(input); document.getElementById("output").innerHTML = output; });


Before Change
tensor = tensor.astype(dtype)
summed = hvd.allreduce(tensor, average=False, name=str(count))
multiplied = tensor * size
max_difference = mx.nd.max(mx.nd.subtract(summed, multiplied))
count += 1
// Threshold for floating point equality depends on number of
// ranks, since we"re comparing against precise multiplication.
if size <= 3 or dtype in ["int32", "int64"]:
threshold = 0
elif size < 10:
threshold = 1e-4
elif size < 15:
threshold = 5e-4
else:
break
if max_difference > threshold:
print("allreduce", count, dtype, dim, max_difference,
threshold)
print("tensor", hvd.rank(), tensor)
print("summed", hvd.rank(), summed)
print("multiplied", hvd.rank(), multiplied)
assert max_difference <= threshold, "hvd.allreduce produces \
incorrect results"
def test_horovod_allreduce_average(self):
Test that the allreduce correctly sums 1D, 2D, 3D tensors.
hvd.init()
After Change
else:
break
assert almost_equal(summed.asnumpy(), multiplied.asnumpy(), atol=threshold), \
f"hvd.allreduce produces incorrect results: {hvd.rank()} {count} {dtype} {dim}"
def test_horovod_allreduce_average(self):
Test that the allreduce correctly sums 1D, 2D, 3D tensors.
hvd.init()


{% for i in range(2) %}
The student name is {{username}}
The phone number is {{password}}
{% endfor %}
logout


CAE reports second-quarter profit and revenue up from year ago
by The Canadian PressMONTREAL — CAE Inc. says its second-quarter profit rose nearly 22 per cent from the same time last year as its civil aviation business led revenue growth.
The simulator and training company said it earned a profit attributable to shareholders of $73.8 million or 28 cents per share for the quarter, up from $60.7 million or 23 cents per share last year.
Revenue totalled $896.8 million, up from $743.8 million a year ago.
The growth came as revenue at CAE's civil aviation business rose 35 per cent compared with a year ago to $529.9 million, while revenue at its defence and security business totalled $336.5 million, up five per cent from a year ago.
Health care revenue was $30.4 million, the same as a year ago.
Analysts on average had expected a profit of 25 cents per share and $849.9 million in revenue, according to financial markets data firm Refinitiv.
MARKET CALL: CAE INC. (CAE:CT)


7 references to SetCurrentScopeToExecutionScope
System.Management.Automation (7)
engine\CommandCompletion\PseudoParameterBinder.cs (1)
1267
commandProcessor.
SetCurrentScopeToExecutionScope
();
engine\CommandInfo.cs (1)
540
processor.
SetCurrentScopeToExecutionScope
();
engine\CommandProcessorBase.cs (4)
445
SetCurrentScopeToExecutionScope
();
522
SetCurrentScopeToExecutionScope
();
567
SetCurrentScopeToExecutionScope
();
641
SetCurrentScopeToExecutionScope
();
engine\ScriptCommandProcessor.cs (1)
332
SetCurrentScopeToExecutionScope
();


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.views.BackButtonWithJavaScript @import include._ @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.developers.DeveloperSession @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.applications.Application @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.applications.Environment @import uk.gov.hmrc.thirdpartydeveloperfrontend.controllers.routes @import uk.gov.hmrc.apiplatform.modules.applications.domain.models.Collaborator @this(devMain: DevMain) @(app: Application, roleOfLoggedIn: Collaborator.Role)( implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messagesProvider: MessagesProvider, applicationConfig: ApplicationConfig) @devMain( title = "Delete application", userFullName = loggedIn.loggedInName, back = BackButtonWithJavaScript, developerSession = Some(loggedIn) ) {
Before deleting this application, check with all your team members .
Continue } else {Before requesting to delete this application, check with all team members .
We'll respond to your request within 2 working days.
Request deletion } } else {Ask the administrator @administrators.head.emailAddress.text to delete it.
} else {Ask one of these administrators to delete it:


BY: {{quote.author}} Posted by: {{quote.blogger}}
Posted ~{{quote.postingDate|dateCount}}~
{{clickCounter}}
{{clickCounter1}}


Error: your browser does not support JavaScript. JavaScript is required to install Drought Tools. Please enable JavaScript in your browser or install a browser that supports JavaScript and try installing Drought Tools again.


{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} ALPHA This is a new service – your feedback will help us to improve it. Add new off-site waste transfer How was the waste transfered off-site? Recovery Disposal {% endblock %}
ALPHA This is a new service – your feedback will help us to improve it.


Seeking a position in marketing communications / account management in advertising agency / digital marketing, utilizing my experience in creative thinking, interpersonal skills and strong ability to multi-task combined with 7 years experience in a multinational award winning ad agency with hands-on-experience and knowledge in management of traditional and digital advertising campaigns, client servicing and the creative process.
Global Strategic is a global advisory firm specialized in strategic management, investment banking, and international business development strategies. The company provide organizations and governments with the right information and the right expertise to drive the growth and expansion initiatives, get access to new opportunities, and maximize the profitability.
Main Role:
Conduct project feasibility study.
Create market entry strategy.
Analyze potential of the industry to facilitate business development decisions.
Conduct comprehensive competitor analysis.
Build marketing strategy.
Adrox Media - Start Up Advertising company specializing in brand activation for FMCG companies.
Main role was to create marketing campaigns, brand activation exercises, product launches.
Recently, in 2014, we launched the first of its kind special wearable glasses to watch the NYE 2015 Dubai Fireworks. The product 3D Fireworks Glasses. The activation was sheer success.
Formulate and Manage a series of awareness campaigns aimed at educating and sensitizing the community of different socio-economic trends regionally and globally. UAE initiative is a first in UAE and is incorporation with DUBAI POLICE, DUBAI CIVIL DEFENSE, Ministry Of Health, Ministry of Education and private stakeholders. My role as the Account Manager is to source for sponsorships, plan, execute, and finalize each project according to strict deadline and within budget. This includes acquiring resources and coordinating the efforts of team members and third party contractors or consultants in order to deliver each program accordingly.
Petra is an in-house marketing solutions company for the multibillion dollar JAM Establishment. Divisions within the Est. include – Automotive (Hyundai Motors, KIA Motors), Retail (Yokohama Tires, Citizen Watches, Home Appliances, Interiors).
Main Role:
Formulation of marketing strategies.
Campaign Management – Handling budgets, managing campaign costs and invoicing.
Suppliers Management – planning, production, delegation & negotiating with vendors.
Media Planning and buying.
Development and release coordination of PR matter.


Command()
Creates a new command.
Command(timeout: Double)
Creates a command with the given timeout.
timeout - the time in seconds before the command "times out".
timeout
IllegalArgumentException - if the given timeout is negative
IllegalArgumentException


@Experimental public class HadoopInputFormatIO extends java.lang.Object
HadoopInputFormatIO
is a Transform for reading data from any source which
implements Hadoop InputFormat
. For example- Cassandra, Elasticsearch, HBase, Redis,
Postgres etc. HadoopInputFormatIO
has to make several performance trade-offs in
connecting to InputFormat
, so if there is another Beam IO Transform specifically for
connecting to your data source of choice, we would recommend using that one, but this IO
Transform allows you to connect to many data sources that do not yet have a Beam IO Transform.
You will need to pass a Hadoop Configuration
with parameters specifying how the read
will occur. Many properties of the Configuration are optional, and some are required for certain
InputFormat
classes, but the following properties must be set for all InputFormats:
mapreduce.job.inputformat.class
: The InputFormat
class used to connect to
your data source of choice.key.class
: The key class returned by the InputFormat
in
mapreduce.job.inputformat.class
.value.class
: The value class returned by the InputFormat
in
mapreduce.job.inputformat.class
.{ Configuration myHadoopConfiguration = new Configuration(false); // Set Hadoop InputFormat, key and value class in configuration myHadoopConfiguration.setClass("mapreduce.job.inputformat.class", MyDbInputFormatClass, InputFormat.class); myHadoopConfiguration.setClass("key.class", MyDbInputFormatKeyClass, Object.class); myHadoopConfiguration.setClass("value.class", MyDbInputFormatValueClass, Object.class); }
You will need to check to see if the key and value classes output by the InputFormat
have a Beam Coder
available. If not, you can use withKeyTranslation/withValueTranslation
to specify a method transforming instances of those classes into another class that is supported
by a Beam Coder
. These settings are optional and you don't need to specify translation
for both key and value. If you specify a translation, you will need to make sure the K or V of
the read transform match the output type of the translation.
You will need to set appropriate InputFormat key and value class (i.e. "key.class" and
"value.class") in Hadoop Configuration
. If you set different InputFormat key or
value class than InputFormat's actual key or value class then, it may result in an error like
"unexpected extra bytes after decoding" while the decoding process of key/value object happens.
Hence, it is important to set appropriate InputFormat key and value class.
HadoopInputFormatIO
Pipeline p = ...; // Create pipeline.
// Read data only with Hadoop configuration.
p.apply("read",
HadoopInputFormatIO.<InputFormatKeyClass, InputFormatKeyClass>read()
.withConfiguration(myHadoopConfiguration);
// Read data with configuration and key translation (Example scenario: Beam Coder is not
available for key class hence key translation is required.).
SimpleFunction<InputFormatKeyClass, MyKeyClass> myOutputKeyType =
new SimpleFunction<InputFormatKeyClass, MyKeyClass>() {
public MyKeyClass apply(InputFormatKeyClass input) {
// ...logic to transform InputFormatKeyClass to MyKeyClass
}
};
p.apply("read",
HadoopInputFormatIO.<MyKeyClass, InputFormatKeyClass>read()
.withConfiguration(myHadoopConfiguration)
.withKeyTranslation(myOutputKeyType);
// Read data with configuration and value translation (Example scenario: Beam Coder is not available for value class hence value translation is required.).
SimpleFunction<InputFormatValueClass, MyValueClass> myOutputValueType =
new SimpleFunction<InputFormatValueClass, MyValueClass>() {
public MyValueClass apply(InputFormatValueClass input) {
// ...logic to transform InputFormatValueClass to MyValueClass
}
};
p.apply("read",
HadoopInputFormatIO.<InputFormatKeyClass, MyValueClass>read()
.withConfiguration(myHadoopConfiguration)
.withValueTranslation(myOutputValueType);
| Modifier and Type | Class and Description |
|---|---|
static class |
HadoopInputFormatIO.HadoopInputFormatBoundedSource<K,V>
Bounded source implementation for
HadoopInputFormatIO . |
static class |
HadoopInputFormatIO.Read<K,V>
A
PTransform that reads from any data source which implements Hadoop InputFormat. |
static class |
HadoopInputFormatIO.SerializableConfiguration
A wrapper to allow Hadoop
Configuration to be serialized using
Java's standard serialization mechanisms. |
static class |
HadoopInputFormatIO.SerializableSplit
A wrapper to allow Hadoop
InputSplit to be serialized using
Java's standard serialization mechanisms. |
| Constructor and Description |
|---|
HadoopInputFormatIO() |
| Modifier and Type | Method and Description |
|---|---|
static <K,V> HadoopInputFormatIO.Read<K,V> |
read()
Creates an uninitialized
HadoopInputFormatIO.Read . |
public static <K,V> HadoopInputFormatIO.Read<K,V> read()
HadoopInputFormatIO.Read
. Before use, the Read
must
be initialized with a HadoopInputFormatIO.Read#withConfiguration(HadoopConfiguration) that
specifies the source. A key/value translation may also optionally be specified using
HadoopInputFormatIO.Read.withKeyTranslation(org.apache.beam.sdk.transforms.SimpleFunction<?, K>)
/
HadoopInputFormatIO.Read.withValueTranslation(org.apache.beam.sdk.transforms.SimpleFunction<?, V>)
.


| hierarchy: |
WEB-INF.cftags.component CFlickr |
| serializable: | Yes |
| properties: | |
| methods: | cacheResult*, createApiSig*, fixJsonResponse*, getAuthUrl, getPhotoUrl, init, onMissingMethod, post*, replacePhoto, upload_post*, uploadPhoto |
| cacheResult* |
|---|
private
void
cacheResult
(
required struct
params,
required string
result
)
I decide how and whether to cache the response Output: suppressed Parameters: params: struct, required, params result: string, required, result |
| createApiSig* |
private
string
createApiSig
(
required struct
params,
boolean
removeEmpty="false"
)
Output: suppressed Parameters: params: struct, required, params removeEmpty: boolean, optional, removeEmpty |
| fixJsonResponse* |
private
any
fixJsonResponse
(
required struct
data
)
i fix single key structs in the json response that look like {_content='foo'} so that the parent element just contains the value 'foo' Output: suppressed Parameters: data: struct, required, data |
| getAuthUrl |
public
string
getAuthUrl
(
required string
perms,
string
frob
)
Output: suppressed Parameters: perms: string, required, perms - The permission you are requesting, read, write or delete. frob: string, optional, frob - A frob. |
| getPhotoUrl |
public
string
getPhotoUrl
(
required struct
photo,
string
size=""
)
Output: suppressed Parameters: photo: struct, required, photo size: string, optional, size - Use flickr's very odd size keys - o=original, s=smallsquare, m=small, t=thumbnail, b=large, and empty string is medium |
| init |
public
any
init
(
required string
api_key,
string
secret="",
any
cache
)
Output: suppressed Parameters: api_key: string, required, api_key secret: string, optional, secret cache: any, optional, cache |
| onMissingMethod |
public
any
onMissingMethod
(
missingMethodArguments,
missingMethodName
)
Output: suppressed Parameters: missingMethodArguments: any, optional, missingMethodArguments missingMethodName: any, optional, missingMethodName |
| post* |
private
any
post
(
required string
method,
struct
params="[runtime expression]"
)
Output: suppressed Parameters: method: string, required, method params: struct, optional, params |
| replacePhoto |
public
any
replacePhoto
(
required any
photo,
required any
photo_id,
any
async="0"
)
Replace a photo with a new image Output: enabled Parameters: photo: any, required, photo - Absolute path to an image file to upload photo_id: any, required, photo_id - The ID of the photo to replace async: any, optional, async - If true will return a upload ticket, if false will return the photoid |
| upload_post* |
private
any
upload_post
(
any
params="[runtime expression]",
any
url="[runtime expression]"
)
i handle uploading to the api, unfortunately i only return rest xml not json. I never cache a response Output: enabled Parameters: params: any, optional, params url: any, optional, url |
| uploadPhoto |
public
any
uploadPhoto
(
required any
photo,
any
title,
any
description,
any
tags,
any
is_public,
any
is_friend,
any
is_family,
any
async="0"
)
Upload a photo to Flickr Output: suppressed Parameters: photo: any, required, photo - Absolute path to an image file to upload title: any, optional, title - The title of the photo. description: any, optional, description - A description of the photo. May contain some limited HTML. tags: any, optional, tags - A space-seperated list of tags to apply to the photo. is_public: any, optional, is_public - Set to false for no, true for yes. Specifies who can view the photo. is_friend: any, optional, is_friend - Set to false for no, true for yes. Specifies who can view the photo. is_family: any, optional, is_family - Set to false for no, true for yes. Specifies who can view the photo. async: any, optional, async - If true will return an upload ticket, if false will return the photoid |


Boom! Headshot!
Do you want to feel the gun?
Choose from 7 different characters. Shoot with over 20 different unique weapons.
Price: FREE
Download Now By Downloading Our Product You Agree To Our Terms Of Service.James
James plays the beats!
Rock
Rock shoots with a mother-trucking Rocket Launcher!
Jane
Jane shoots and whacks with an umbrella... ehh ok.
John
John's time is now!
Deus
Deus has a big sword!
Lina
Lina is mysterious!
Leo
Leo is a man!


groundwork.js
A JavaScript (browser) library facilitating interaction with The Groundwork Platform.
Learn more about our platform APIs.
Learn about it
Get it
CDN Versions
Production (minified)
https://cdn.thegroundwork.com/groundworkjs/1.1.1/groundwork.min.js
Development (additional logging)
https://cdn.thegroundwork.com/groundworkjs/1.1.1/groundwork.js
Stand-alone
Check out the repository and build a stand-alone distributable:
$ npm install
$ npm run dist
The compiled files will be in the /dist
folder.
Documentation and Examples
You can read the API documentation for the client itself here.
There are some examples of the client itself here.
Usage
import Groundwork from 'groundwork.js';
// Create a new Groundwork client using your client id
let gw = new Groundwork({
'apiKey': 'abc123'
});
// Collect user information from a form
let signUpData = {
email: form.emailAddress,
givenName: form.firstName,
familyName: form.lastName,
phone: form.phone,
postalCode: form.postalCode,
source: "form_frontpage_campaignXYZ"
};
let handleSuccess = function(res) { /* Handle successful signup */}
let handleErrors = function(err) { /* Handle error during signup */}
// Create a new supporter using the collected data and handle success or error states
gw.supporter.create(signUpData)
.then(handleSuccess)
.catch(handleErrors);
Browser requirements
A+ Grade browsers
Prerequisites
Before working with the library source, you'll need to install some reqiured packages:
npm install
Build
To build a standalone library file and documentation:
npm run dist
This will create a minified and non-minified file in dist
and updated documentation will be in doc
. Note: when making a release (see below) the dist
files are built and pushed up for you.
Documentation
Documentation is generated using ESDoc:
npm run docs
Development
This library is written in ES2015 and compiled to ES5 via Babel. Tests are written with Jasmine and run with Karma.
This project uses GitHub Flow (longer explanation) as a deployment model. Please make feature branches from master
and then PR them for review.
Setup your environment:
You need NodeJS and npm installed.
npm install
Run the development environment:
npm run dev
A compiled groundwork.js
is served from localhost:8080.
Run the examples:
npm run examples
This will rewrite the files in /examples
to use the current locally compiled version of groundwork.js
instead of the CDN version. Useful for testing your work in an HTML page. The files are served from localhost:3030
Run the tests:
npm test # starts a watcher that runs automated tests in multiple browsers
npm run test-ci # runs automated tests in PhantomJS & Firefox just once
There are an additional set of integration tests which hit the live Dev API. These should only be run if:
- You have access to the dev environment
- You don't mind waiting for live requests to go through
To run them, copy the contents of /integration_test
into /test
and then run npm run test-phantom
. You will get some fails from existing tests during this run.
Make a release:
Once you have a working release ready to go it needs to be tagged. Update the version
property in package.json
and commit the file. Then run the release script:
npm run release
This will create a tag with the version number, build the dist
files and push them up to the repo.
Groundwork.js
Copyright © 2016 - Timshel / The Groundwork, all rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


IDL source Global indexinterface ICapeNumericAnalysisFactory : ICapeUtilityParameter
This is the factory of numerical analysis design.
Creates a numerical analysis interface which will be (how a numerical analysis can be an interface ? You should perhaps drop the interface words in the following lines or add interface in the preceding line):
an ICapeNumericSMAnalysis interface if type = SM_ANALYSIS.
an ICapeNumericPartitioning interface if type = PARTITIONING.
an ICapeNumericTearing interface if type = TEARING.
an ICapeNumericSequencing interface if type = SEQUENCING.
Pre Conditions: An interface of the ICapeNumericAnalysis hierarchy with the same name does not exist.
The implementation of the corresponding analysis is available.
Post Conditions: None.
Destroys the interface.
The behaviour of this method is implementation dependent.
Pre Conditions: None.
Post Conditions: None.
Gets the name of the interface
Pre Conditions: None.
Post Conditions: None.
Checks if the partitioning analysis is available.
If TRUE, the partitioning analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
Checks if the sequencing analysis is available.
If TRUE, the sequencing analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
Checks if the full sequential modular analysis is available.
If TRUE, the full sequential modular analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
Checks if the tearing analysis is available.
If TRUE, the tearing analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
ICapeNumericAnalysis CreateNumericAnalysis(in CapeAnalysisType type, in CapeString name) raises(CapeBAD_PARAM, CapeUNKNOWN);
Creates a numerical analysis interface which will be (how a numerical analysis can be an interface ? You should perhaps drop the interface words in the following lines or add interface in the preceding line):
an ICapeNumericSMAnalysis interface if type = SM_ANALYSIS.
an ICapeNumericPartitioning interface if type = PARTITIONING.
an ICapeNumericTearing interface if type = TEARING.
an ICapeNumericSequencing interface if type = SEQUENCING.
Pre Conditions: An interface of the ICapeNumericAnalysis hierarchy with the same name does not exist.
The implementation of the corresponding analysis is available.
Post Conditions: None.
CapeBoolean Destroy() raises(CapeNO_IMPLEMENT, CapeUNKNOWN);
Destroys the interface.
The behaviour of this method is implementation dependent.
Pre Conditions: None.
Post Conditions: None.
CapeString GetName() raises(CapeUNKNOWN);
Gets the name of the interface
Pre Conditions: None.
Post Conditions: None.
CapeBoolean PartitioningImplementation() raises(CapeUNKNOWN);
Checks if the partitioning analysis is available.
If TRUE, the partitioning analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
CapeBoolean SequencingImplementation() raises(CapeUNKNOWN);
Checks if the sequencing analysis is available.
If TRUE, the sequencing analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
CapeBoolean SMAnalysisImplementation() raises(CapeUNKNOWN);
Checks if the full sequential modular analysis is available.
If TRUE, the full sequential modular analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.
CapeBoolean TearingImplementation() raises(CapeUNKNOWN);
Checks if the tearing analysis is available.
If TRUE, the tearing analysis of a flowsheet is possible.
Pre Conditions: None.
Post Conditions: None.


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{% extends "base.html" %} {% block heading %}
| List of Books | ||
|---|---|---|
| Name | collection date | Distributed by |
| {{ book.title_of_the_text_book }} | {{ book.date_of_collection }} | book |
| Posting Info | ||
|---|---|---|
| Name | date | Reason |
| {{ post.name_of_school }} | {{ post.date_of_posting }} | {{ post.reason_for_posting }} |
| Student's Parent info | ||
|---|---|---|
| Name | State | Address |
| {{ p.full_name_of_the_father }} and {{ p.full_name_of_the_mother }} | person | {{ p.contact_address_of_the_father }} and {{ p.contact_address_of_the_mother }} |
| Student's Literacy info | |||
|---|---|---|---|
| Date | level | Score | Description | Asessor |
| {{ literacy_score.date_of_accessment }} | {{ literacy.literacy_level }} | {{ literacy.literacy_score }} | {{ literacy_score.describe_literacy }} | {{ literacy_score.name_of_assessor }} |


Recipe 11.12. Copying Geometry Methods and Options Between Tkinter WidgetsCredit: Pedro Werneck ProblemYou want to create new Tkinter compound widgets, not by inheriting from Frame and packing other widgets inside, but rather by setting geometry methods and options from other widget to another. SolutionHere is an example of a compound widget built by this approach: from Tkinter import * class LabeledEntry(Entry): """ An Entry widget with an attached Label """ def _ _init_ _(self, master=None, **kw): ekw = { } # Entry options dictionary fkw = { } # Frame options dictionary lkw = {'name':'label'} # Label options dictionary skw = {'padx':0, 'pady':0, 'fill':'x', # Geometry manager opts dict 'side':'left'} fmove = ('name',) # Opts to move to the Frame dict lmove = ('text', 'textvariable', 'anchor','bitmap', 'image') # Opts to move to the Label dict smove = ('side', 'padx', 'pady', # Opts to move to the Geometry 'fill') # manager dictionary # dispatch each option towards the appropriate component for k, v in kw: if k in fmove: fkw[k] = v elif k in lmove: lkw[k] = v elif k in smove: skw[k] = v else: ekw[k] = v # make all components with the accumulated options self.body = Frame(master, **fkw) self.label = Label(self.body, **lkw) self.label.pack(side='left', fill=skw['fill'], padx=skw['padx'], pady=skw['pady']) Entry._ _init_ _(self, self.body, **ekw) self.pack(side=skw['side'], fill=skw['fill'], padx=skw['padx'], pady=skw['pady']) methods = (Pack._ _dict_ _.keys( ) + # Set Frame geometry methods to self Grid._ _dict_ _.keys( ) + Place._ _dict_ _.keys( )) for m in methods: if m[0] != '_' and m != 'config' and m != 'configure': setattr(self, m, getattr(self.body, m)) DiscussionHere is an example of use of this LabeledEntry widget, presented, as usual, with a guard of if _ _name_ _ == '_ _main_ _' so we can make it part of the module containing the class and have it run when the module is executed as a "main script": if _ _name_ _ == '_ _main_ _': root = Tk( ) le1 = LabeledEntry(root, name='label1', text='Label 1: ', width=5, relief=SUNKEN, bg='white', padx=3) le2 = LabeledEntry(root, name='label2', text='Label 2: ', relief=SUNKEN, bg='red', padx=3) le3 = LabeledEntry(root, name='label3', text='Label 3: ', width=40, relief=SUNKEN, bg='yellow', padx=3) le1.pack(expand=1, fill=X) le2.pack(expand=1, fill=X) le3.pack(expand=1, fill=X) root.mainloop( ) The usual approach to defining new compound Tkinter widgets is to inherit from Frame and pack your component widgets inside. While simple and habitual, that approach has a few problems. In particular, you need to invent, design, document, and implement additional methods or options to access the component widgets' attributes from outside of the compound widget class. Using another alternative (which I've often seen done, but it's still a practice that is not advisable at all!), you can violate encapsulation and Demeter's Law by having other code access the component widgets directly. If you do violate encapsulation, you'll pay for it in the not-so-long run, when you find a need to tweak your compound widget and discover that you can't do it without breaking lots of code that depends on the compound widget's internal structure. Those consequences are bad enough when you own all of the code in question, but it's worse if you have "published" your widget and other people's code depends on it. This recipe shows it doesn't have to be that bad, by elaborating upon an idea I first saw used in the ScrolledText widget, which deserves to be more widely exposed. Instead of inheriting from Frame, you inherit from the "main" widget of your new compound widget. Then, you create a Frame widget to be used as a body, pretty much like in the more usual approach. Then, and here comes the interesting novelty, you create dicts for each component widget you contain and move to those dictionaries the respective options that pertain to component widgets. The novelty continues after you've packed the "main" widget: at that point, you can reset said widget's geometry methods to the base Frame attributes (meaning, in this case, methods), so that accessing the object methods will in fact access the inner base Frame geometry methods. This transparent, seamless delegation by juggling bound methods is uniquely Pythonic and is part of what makes this recipe so novel and interesting! The main advantage of this recipe's approach is that you can create your widget with options to all slave widgets inside it in a single line, just like any other widget, instead of doing any further w.configure or w['option'] calls or accesses to set all details exactly the way you want them. To be honest, there is a potential disadvantage, too: in this recipe's approach, it's hard to handle options with the same name on different component widgets. However, sometimes you can handle them by renaming options: if two separate widgets need a 'foo' option that's also of interest to the "main" widget, for example, use, 'upper_foo' and 'lower_foo' variants and rename them appropriately (with yet another auxiliary dictionary) at the same time you're dispatching them to the appropriate dictionary of component-widget options. You can't sensibly keep doing that "forever", as the number of component widgets competing for the same option grows without bounds: if that happens, revert to the good old tried-and-true approach. But for nine out of ten compound widgets you find yourself programming, you'll find this recipe's approach to be an interesting alternative to the usual, traditional approach to compound-widget programming. See AlsoInformation about Tkinter can be obtained from a variety of sources, such as Fredrik Lundh, An Introduction to Tkinter (PythonWare: http://www.pythonware.com/library), New Mexico Tech's Tkinter Reference (http://www.nmt.edu/tcc/help/lang/python/docs.html), Python in a Nutshell, and various other books. |


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What is Dependency Resolver
Dependency Resolver programmatically resolves transitively a given Dependency from the Maven Central, or the customized private repositories for snapshots and releases.
Once the dependency is resolved it is stored in the local Maven Repository. A URLClassLoader subtype is then made available in the cache, pointing at the path for the local dependency, and any class pertaining to that Dependency can then be loaded and instantiated through Reflection (i.e classLoader.loadClass("org.apache.commons.io.FileUtils").newInstance()
)
One application for this code is that it can be used when we need to instantiate objects from classes at runtime, which were not available during compilation time, thus not part of the application's classpath.
In the Web interface we can see the results for the Transitive Resolution of a Dependency of our choice.
This Single Page Application was written using Play, Scala, JQuery and Bootstrap, while the Dependency Resolver code was written in Java and uses Eclipse Aether Library, the same lirary used by Maven's Artifact Resolver.
What is included
Version @playConfiguration.getString("DependencyResolverVersion") of Dependency Resolver provides the following features:
- - Transitive Resolution of Dependencies from Maven Central
- - Support for Custom Repositories
- - Support for Repository Authentication through settings.xml
- - Support for Repository Authentication through settings-security.xml
How it works
To resolve a Dependency use the form below and click Search. You will be presented with a table with the Search Results below.


The mission statement of Yellowstone Tech Alliance is to accentuate
the abilities of the Technology Firms in Eastern Montana as a way of
enticing talent and businesses to the region.
Early Community Involvement
STEM Volunteering
SD2 and college collaboration to improve curriculum cohesion


Class KnownRangeHasher
NON-GENERALIZED hashing algorithm for Point instances that calculates a hash, assuming a known minimum and maximum extent of the Points being hashed.
Namespace: SadRogue.Primitives.PointHashers
Assembly: TheSadRogue.Primitives.dll
Syntax
public class KnownRangeHasher : EqualityComparer<Point>
Remarks
This is NOT an efficient generalized hashing algorithm; it generates a hash code using the assumption of a "maximum range" of x/y values in which all the points given to it to hash fall. It simply normalizes the points to a range of (0, 0), to (x_1, y_1), then hashes them via a simple call to ToIndex(Int32). The algorithm WILL still function on points outside of the min/max extents; however it will start to generate more collisions.
This algorithm is nonetheless useful in some cases; the assumption that points will fall from (minX, minY) to some known max width/height is fairly common (as it could apply to any fixed-size grid). Since this algorithm can be significantly faster to compute than fully generalized algorithms, it can be useful for these cases.
Constructors
KnownRangeHasher(Point, Point)
Creates a new instance of the comparison/hashing algorithm implementation.
Declaration
public KnownRangeHasher(Point minExtent, Point maxExtent)
Parameters
| Type | Name | Description |
|---|---|---|
| Point | minExtent | Point whose x and y values constitute the minimum x/y values that will generally be encountered in Point instances that are hashed by this algorithm. |
| Point | maxExtent | Point whose x and y values constitute the maximum x/y values that will generally be encountered in Point instances that are hashed by this algorithm. |
KnownRangeHasher(Point, Int32)
Creates a new instance of the comparison/hashing algorithm implementation.
Declaration
public KnownRangeHasher(Point minExtent, int boundsWidth)
Parameters
| Type | Name | Description |
|---|---|---|
| Point | minExtent | Point whose x and y values constitute the minimum x/y values that will generally be encountered in Point instances that are hashed by this algorithm. |
| Int32 | boundsWidth | Width of the bounds that will generally encompass Points hashed by this hashing algorithm. |
KnownRangeHasher(Rectangle)
Creates a new instance of the comparison/hashing algorithm implementation.
Declaration
public KnownRangeHasher(Rectangle bounds)
Parameters
| Type | Name | Description |
|---|---|---|
| Rectangle | bounds | Bounds encompassing the area which points generally hashed by this algorithm will reside within. |
Fields
BoundsWidth
Width of the area which encompasses points which will generally be hashed by this algorithm, starting at MinExtent.
Declaration
public readonly int BoundsWidth
Field Value
| Type | Description |
|---|---|
| Int32 |
MinExtent
Minimum x/y values that will generally occur in points hashed by this instance.
Declaration
public readonly Point MinExtent
Field Value
| Type | Description |
|---|---|
| Point |
Methods
Equals(Point, Point)
Declaration
public override bool Equals(Point x, Point y)
Parameters
| Type | Name | Description |
|---|---|---|
| Point | x | |
| Point | y |
Returns
| Type | Description |
|---|---|
| Boolean |
GetHashCode(Point)
Declaration
public override int GetHashCode(Point p)
Parameters
| Type | Name | Description |
|---|---|---|
| Point | p |
Returns
| Type | Description |
|---|---|
| Int32 |


Decode¶
Ensemble¶
-
class
kospeech.decode.ensemble.
BasicEnsemble
(models)[source]¶ Basic ensemble decoding.
Decodes using multiple models simultaneously, combining their prediction distributions by adding. All models in the ensemble must share a target characters.
-
forward
(inputs, input_lengths)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
-
class
kospeech.decode.ensemble.
Ensemble
(models)[source]¶ Ensemble decoding. Decodes using multiple models simultaneously,
Note
Do not use this class directly, use one of the sub classes.
-
forward
(*args, **kwargs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
-
class
kospeech.decode.ensemble.
WeightedEnsemble
(models, dim=128)[source]¶ Weighted ensemble decoding.
Decodes using multiple models simultaneously, combining their prediction distributions by weighted sum. All models in the ensemble must share a target characters.
-
forward
(inputs, input_lengths)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-


Demo of jQuery Chart Plugin version 0.1
Chart Data
Area:
Painter
JS Graphics
Canvas
Background:
default
Text:
default
Y Range:
Min
Max
Grid Lines:
X grid
Y grid
Show Legend:
Series 1
Series 2
Series 3
Label:
Type:
Bar
Area
Line
Bar
Area
Line
Bar
Area
Line
Color:
Stack On:
-
None
Series 1
None
Series 1
Series 2
xLabels
Values 1
Values 2
Values 3
Chart Code
Chart Canvas
Credits
Base Platform:
jQuery
Original Chart code by:
Emil A Eklund
Almost completely re-written by:
Ashutosh Bijoor
Built for:
On2Biz - web based business process management service
in the making
Versions
0.21 - 13 Mar 2007
Corrected bug where stacked chart offset was not calculated properly (
reported by Tiago Dionizio
)
Download:
jqchart0.21.tar.gz
0.2 - 12 Mar 2007
Corrected a few IE-specific bugs. Now should work with IE.
Added a painter selection. The painter type determines whether the browser canvas tag is used or to use the
Javascript graphics library
by Walter Zorn
Customizable colors for background and grid
Customizable line width for Line Chart
Corrected bug where stacked chart offset was not calculated properly (
reported by Tiago Dionizio
)
Download:
jqchart0.2.tar.gz
0.1 - 10 Mar 2007
Complete re-haul of original Chart code
Download:
jqchart0.1.tar.gz
To Do
Automatic recognition of painter type


--- title: module name here keywords: fastai sidebar: home_sidebar summary: "API details." description: "API details." nb_path: "catalog.ipynb" ---
The following datasets are available to test this package
test_data_catalog.list()
test_data_catalog.load("genetic_file_common_folder").full_file_path