BMW M and the Los Angeles Auto Show 2019
Our podcast with BMW M CEO Markus Flasch goes live on Monday, but before that, there are a few things we can share. Yet, we …
by Adrian DorofteAt the Los Angeles Auto Show that just kicked off this week, BMW M showcased the entire spectrum of brand new high performance Bimmers, to the pleasure of the gathered audience and fans. 2019 has been a fantastic year for the BMW M division. The portfolio of sheer sports models got revamped and renewed with sensational additions. And every single one of them was highlighted on the stage of the Los Angeles Auto Show.
The most important show-stoppers were the complete fleet of brand new M8 models, the new generations of the high-performance X3 M, X4 M, X5 M and X6 M, the new M2 CS limited edition hot coupe and the M235i xDrive Gran Coupe M Performance model, which along with other versions of the new 2 Series Gran Coupe, will be the first-ever front-wheel driven BMW to be sold on US soil.
The new M8 Coupe (F92), M8 Convertible (F91) and M8 Gran Coupe (F93), along with the Competition siblings, are rounding off the upper echelon of high-performance luxury models under the BMW sub-brand. The powertrain puts the BMW S63 8-cylinder engine at its centerstage. This monstrous powerplant has a displacement of 4.4 liters (269 cu in) and is rated at 600 PS (592 hp) and 625 PS (617 hp) in the Competition form. The same S63 engine is also used to power the X5 M and X6 M brutes.
BMW M brought to LAAS 2019 a spectacular and eye-catching M8 Gran Coupe First Edition model, which is to be assembled in a limited run of just 400 units to celebrate the market introduction of the F93 M8 generation. This special M8 Gran Coupe is finished in BMW Individual Aurora Diamant Green metallic color (which mimics the Saleve Vert shade of the Concept M8 Gran Coupe), which is further accentuated by the bronze-colored, high-gloss BMW Individual exterior ornaments. The LED filaments of the BMW Laser headlights are now emitting a golden light, while the interior looks to have been adorned in BMW Individual Merino Midrand Beige leather upholstery.
As well, BMW M brought to the Los Angeles Auto Show the full squad of all new SAVs and SACs comprising the F97 X3 M, the F98 X4 M, the F95 X5 M and the F96 X6 M. The mid-segment X3 M and X4 M are, for the first time, powered an all-new straight-six engine.
Its code is S58 and features a displacement of 3.0 liters, being available in a standard output version of 480 PS (473 hp) and Competition variant of 510 PS (503 hp). This engine will also power the future M3 and M4 generations.
The new M2 CS celebrated the official introduction on the LAAS stage. It will be produced in a limited run of 2,200 units and will form also the basis for the entry-level BMW M2 CS Racing customer sport model. Compared to the M2 Competition, the new M2 Club Sport boasts a power increase of 40 PS (34 hp) up to 331 kW / 450 PS (444 hp) and various advancements to sharpen the ride the decrease the curb weight. For the die-hard, passionate clients, the new M2 CS can be optionally equipped with a classic 6-speed manual tranny.
Markus Flasch, CEO of the BMW M GmbH, commented on the rich BMW M presence at the North American motor salon: “The Los Angeles Auto Show is a very special event for the BMW M GmbH as we will be able to exhibit the whole spectrum and diversity of our BMW M range, with two vehicles making their debuts. The BMW M8 Gran Coupe stands for the perfect combination of sportiness and luxurious elegance. The BMW M2 CS is young, wild, extroverted and conveys sheer sportiness.”
The entire fleet of new BMW M and M Performance models are set to hit North American streets starting 2020. And there is more to come, as exciting novelties are on their way and will further enhance the portfolio of sheer performance Bimmers in the coming years.


I regularly teach in data science and American politics at the graduate, undergraduate, and high school
levels. For example, I designed my own course on US Local Policymaking
in Spring 2022 for Harvard undergraduates, re-designed the summer data science
training for MPA/ID
students at the Harvard Kennedy School in 2022, and created an Introduction to Data
Science (in R) in Summer 2021 for high school students in New Jersey. During graduate school, I have
also served as a Teaching Fellow for several courses on statistics, American politics, and computational
social science. In 2023, I was awarded Harvard's university-wide Derek
C. Bok Award for Excellence in Graduate Student Teaching of Undergraduates.
Data Science
- API 209: Advanced Quantitative Methods
- Harvard Kennedy School, Fall 2022
- Teaching Fellow, with Dan Levy.
-
Click for course description.
The goal of this course is to prepare you to analyze public policy issues using
statistics. Key topics in the course are in the areas of probability theory, estimation,
hypothesis testing, regression analysis, causal inference and prediction. While many
students taking this class will have already taken courses in statistical inference and
regression analysis, this course will place a much stronger emphasis than typical
courses on conceptually understanding the underlying methods. Since the course is
targeted to first - year students in t he MPA - ID program, we will not shy away from
using mathematical tools, but the emphasis of the course will be on the conceptual
understanding and application of the tools rather than on the math or the mechanics
behind the tools. So for example, when study ing hypothesis testing, we will place a
heavier emphasis on what the test is doing, when to use it and how to interpret its
results, than on mathematical proofs underpinning the test or on mechanical repetitions
of the calculations involved in conducting the test.
- Math Camp: HKS MPA/ID Program
- Harvard Kennedy School, Summer 2022
- Instructor, for Master in Public Administration in International Development (MPA/ID)
Program.
- Content planned in collaboration with Dan Levy.
- Redesigned summer material as an introduction to R, starting with Google Colab, then moving to
installing R / RStudio and learning the
fundamentals of data science and R programming with tidyverse.
- Course materials
- Gov 1008: Geographic Information Systems (GIS)
- Harvard University, Fall 2021
- Teaching Fellow, with Jill Kelly.
-
Click for course description.
This courses teaches the use of Geographic Information Systems (GIS), a collection of
hardware and software tools that allow users to visualize and analyze geographic data in
its spatial configuration. Students will learn the theory of geospatial analysis
alongside practical methods for acquiring, manipulating, displaying, and analyzing
cartographic data.
- Syllabus
- Awarded: Certificate of Distinction in Teaching: Derek
Bok Center for Teaching and Learning
- Fundamentals of Data Science
- South Amboy High School, Summer 2021
- Course Head / Instructor
-
Click for course description.
This course covers the fundamentals of data science using R from the very beginning. We
discuss both technical (data cleaning, creating data visualizations, studying
relationships between variables, etc.) and substantive (how to think about data, how to
craft a research question, etc.) topics. Students conduct an independent research
project on a topic of their choice throughout the course.
- Teaching materials, syllabus, and course advertisement.
- Gov 50: Data
- Harvard University, Fall 2020
- Head Teaching Fellow
-
Click for course description.
This course covers the fundamentals of data and statistical inference using R,
including data collection, visualization (primarily with tools like tidyverse and Shiny), the Rubin Causal Model, and
regression modeling).
- Teaching materials and course resources (class scripts,
problem sets, etc.).
- Awarded: Certificate of Distinction in Teaching: Derek
Bok Center for Teaching and Learning
- POL 245: Visualizing Data
- Princeton University, Summer 2016, 2017, 2018.
-
Click for course description.
An introduction to quantitative social science using R. Serves as a first course in
programming, basic statistics, data visualization, and regression.
- Offered as part of the
Freshman Scholars Institute.
- Course Fellow, with Professor Kosuke Imai and Will Lowe .
American Politics
- Gov 97: Power and Action in American Local Politics
- Harvard University, Spring 2022.
- Course Designer / Instructor
-
Click for course description.
Many of contemporary America’s most pressing issues — in policy areas like housing,
policing, education, environmental sustainability, and transportation — will require
political action at the local level. But local politics is different in many ways from
the federal politics of presidents and senators that we are used to hearing about every
day. Who has power in America’s nearly 100,000 local governments? How are decisions made
by entities like city councils and school boards, and how can political change happen at
the ground level? More generally, how can we use political science as a discipline to
inform how we can impact our own communities?
- Syllabus
- Awarded: Certificate of Distinction in Teaching: Derek
Bok Center for Teaching and Learning
- Gov 1539: Politics of the American Presidency
- Harvard University, Spring 2021.
- Teaching Fellow, with Professor Jon
Rogowski.
-
Click for course description.
This course surveys the politics of presidential power in a system where power is
separated between but also shared by adjoining branches of government. What is
presidential power? For what aims do presidents exercise their powers? When do
presidents successfully achieve their goals — and when do they fail? Through answering
these questions, the course provides a deeper understanding of the factors that shape
presidential power and the nature of the American system of government.
- Awarded: Certificate of Distinction in Teaching: Derek
Bok Center for Teaching and Learning
- 17.20: Introduction to American Politics
- Massachusetts Institute of Technology, Spring 2019.
- Teaching Fellow, with Professor Devin Caughey.
-
Click for course description.
An introduction to the study of American politics and the discipline of political
science. Covers a wide range of topics, including the ideological and constitutional
foundations of American politics, its institutional structures including Congress and
the presidency, the political behavior of Americans, and contemporary debates on issues
like campaign finance and partisan polarization.
Other Teaching Materials
- R Package: Imai's Quantitative Social Science
- GIS Teaching Materials: Spatial Models of Social Science
- Harvard University, Fall 2020 (Instructor: Jill Kelly).
- I helped to create the teaching
materials for a course on airborne and satellite remote sensing (primarily with ArcGIS).
- Gradescope Autograder
- Gradescope is a useful tool for automatically grading
certain assignments when teaching. The full autograder setup for R assignments that I have used
in the past is available here.


| anova.negbin {MASS} | R Documentation |
Method function to perform sequential likelihood ratio tests for Negative Binomial generalized linear models.
## S3 method for class 'negbin' anova(object, ..., test = "Chisq")
object |
Fitted model object of class |
... |
Zero or more additional fitted model objects of class |
test |
Argument to match the |
This function is a method for the generic function
anova()
for class "negbin"
.
It can be invoked by calling anova(x)
for an
object x
of the appropriate class, or directly by
calling anova.negbin(x)
regardless of the
class of the object.
If only one fitted model object is specified, a sequential analysis of
deviance table is given for the fitted model. The theta
parameter is kept
fixed. If more than one fitted model object is specified they must all be
of class "negbin"
and likelihood ratio tests are done of each model within
the next. In this case theta
is assumed to have been re-estimated for each
model.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
glm.nb
, negative.binomial
, summary.negbin
m1 <- glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log) m2 <- update(m1, . ~ . - Eth:Age:Lrn:Sex) anova(m2, m1) anova(m2)


Tests that webInspector.inspectedWindow.reload() successfully injects and preprocesses user's code upon reload


Callback class for data serialization. More...
#include <PxFileBuf.h>
Public Types | |
| enum | EndianMode { ENDIAN_NONE = 0, ENDIAN_BIG = 1, ENDIAN_LITTLE = 2 } |
| enum | OpenMode { OPEN_FILE_NOT_FOUND, OPEN_READ_ONLY, OPEN_WRITE_ONLY, OPEN_READ_WRITE_NEW, OPEN_READ_WRITE_EXISTING } |
| enum | SeekType { SEEKABLE_NO = 0, SEEKABLE_READ = 0x1, SEEKABLE_WRITE = 0x2, SEEKABLE_READWRITE = 0x3 } |
Public Member Functions | |
| PxFileBuf (EndianMode mode=ENDIAN_LITTLE) | |
| virtual | ~PxFileBuf (void) |
| virtual OpenMode | getOpenMode (void) const =0 |
| bool | isOpen (void) const |
| virtual SeekType | isSeekable (void) const =0 |
| void | setEndianMode (EndianMode e) |
| EndianMode | getEndianMode (void) const |
| virtual uint32_t | getFileLength (void) const =0 |
| virtual uint32_t | seekRead (uint32_t loc)=0 |
| Seeks the stream to a particular location for reading. More... | |
| virtual uint32_t | seekWrite (uint32_t loc)=0 |
| Seeks the stream to a particular location for writing. More... | |
| virtual uint32_t | read (void *mem, uint32_t len)=0 |
| Reads from the stream into a buffer. More... | |
| virtual uint32_t | peek (void *mem, uint32_t len)=0 |
| Reads from the stream into a buffer but does not advance the read location. More... | |
| virtual uint32_t | write (const void *mem, uint32_t len)=0 |
| Writes a buffer of memory to the stream. More... | |
| virtual uint32_t | tellRead (void) const =0 |
| Reports the current stream location read aqccess. More... | |
| virtual uint32_t | tellWrite (void) const =0 |
| Reports the current stream location for write access. More... | |
| virtual void | flush (void)=0 |
| Causes any temporarily cached data to be flushed to the stream. More... | |
| virtual void | close (void) |
| Close the stream. More... | |
| void | release (void) |
| PX_INLINE void | swap2Bytes (void *_data) const |
| PX_INLINE void | swap4Bytes (void *_data) const |
| PX_INLINE void | swap8Bytes (void *_data) const |
| PX_INLINE void | storeDword (uint32_t v) |
| PX_INLINE void | storeFloat (float v) |
| PX_INLINE void | storeDouble (double v) |
| PX_INLINE void | storeByte (uint8_t b) |
| PX_INLINE void | storeWord (uint16_t w) |
| uint8_t | readByte (void) |
| uint16_t | readWord (void) |
| uint32_t | readDword (void) |
| float | readFloat (void) |
| double | readDouble (void) |
Static Public Member Functions | |
| static PX_INLINE bool | isBigEndian () |
Static Public Attributes | |
| static const uint32_t | STREAM_SEEK_END =0xFFFFFFFF |
| Declares a constant to seek to the end of the stream. More... | |
Private Attributes | |
| bool | mEndianSwap |
| EndianMode | mEndianMode |
Callback class for data serialization.
The user needs to supply an PxFileBuf implementation to a number of methods to allow the SDK to read or write chunks of binary data. This allows flexibility for the source/destination of the data. For example the PxFileBuf could store data in a file, memory buffer or custom file format.
| enum PxFileBuf::OpenMode |
| enum PxFileBuf::SeekType |
|
inline |
|
inlinevirtual |
|
inlinevirtual |
Close the stream.
|
pure virtual |
Causes any temporarily cached data to be flushed to the stream.
|
inline |
|
pure virtual |
|
pure virtual |
|
inlinestatic |
|
inline |
|
pure virtual |
|
pure virtual |
Reads from the stream into a buffer but does not advance the read location.
| [out] | mem | The buffer to read the stream into. |
| [in] | len | The number of bytes to stream into the buffer |
|
pure virtual |
Reads from the stream into a buffer.
| [out] | mem | The buffer to read the stream into. |
| [in] | len | The number of bytes to stream into the buffer |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
pure virtual |
Seeks the stream to a particular location for reading.
If the location passed exceeds the length of the stream, then it will seek to the end. Returns the location it ended up at (useful if you seek to the end) to get the file position
|
pure virtual |
Seeks the stream to a particular location for writing.
If the location passed exceeds the length of the stream, then it will seek to the end. Returns the location it ended up at (useful if you seek to the end) to get the file position
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
pure virtual |
Reports the current stream location read aqccess.
|
pure virtual |
Reports the current stream location for write access.
|
pure virtual |
Writes a buffer of memory to the stream.
| [in] | mem | The address of a buffer of memory to send to the stream. |
| [in] | len | The number of bytes to send to the stream. |
|
private |
|
private |
|
static |
Declares a constant to seek to the end of the stream.
Does not support streams longer than 32 bits


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Contents
- --model-large
Generate code for Large model programs see section Memory
Models for more details. If this option is used all source files in the project
should be compiled with this option. In addition the standard library routines
are compiled with small model , they will need to be recompiled.
- --model-small
Generate code for Small Model programs see section Memory
Models for more details. This is the default model.
- --model-flat24
--model-flat24Generate code for Small Model programs see section Memory
Models for more details. This is the default model.
- --stack-auto
All functions in the source file will be compiled as reentrant,
i.e. the parameters and local variables will be allocated on the stack. see
section Parameters and Local Variables for more details. If this option is
used all source files in the project should be compiled with this option.
- --xstack
Uses a pseudo stack in the first 256 bytes in the external ram
for allocating variables and passing parameters. See section on external stack
for more details.
- --nogcse
Will not do global subexpression elimination, this option may
be used when the compiler creates undesirably large stack/data spaces to store
compiler temporaries. A warning message will be generated when this happens
and the compiler will indicate the number of extra bytes it allocated. It recommended
that this option NOT be used , #pragma NOGCSE can be used to turn off global
subexpression elimination for a given function only.
- --noinvariant
Will not do loop invariant optimizations, this may be turned
off for reasons explained for the previous option . For more details of loop
optimizations performed see section Loop Invariants.It recommended that this
option NOT be used , #pragma NOINVARIANT can be used to turn off invariant
optimizations for a given function only.
- --noinduction
Will not do loop induction optimizations, see section Strength
reduction for more details.It recommended that this option NOT be used , #pragma
NOINDUCTION can be used to turn off induction optimizations for given function
only.
- --nojtbound
Will not generate boundary condition check when switch statements
are implemented using jump-tables. See section Switch Statements for more details.It
recommended that this option NOT be used , #pragma NOJTBOUND can be used
to turn off boundary checking for jump tables for a given function only.
- --noloopreverse
Will not do loop reversal optimization
- --noregparms
By default the first parameter is passed using global registers
(DPL,DPH,B,ACC). This option will disable parameter passing using registers.
NOTE: if your program uses the 16/32 bit support routines (for multiplication/division)
these library routines will need to be recompiled with the --noregparms option
as well.
- --callee-saves function1[,function2][,function3]....
The compiler by default uses a caller saves convention for register saving
across function calls, however this can cause unneccessary register pushing
& popping when calling small functions from larger functions. This option
can be used to switch the register saving convention for the function names
specified. The compiler will not save registers when calling these functions,
extra code will be generated at the entry & exit for these functions to
save & restore the registers used by these functions, this can SUBSTANTIALLY
reduce code & improve run time performance of the generated code. In future
the compiler (with interprocedural analysis) will be able to determine the
appropriate scheme to use for each function call. DO NOT use this option for
built-in functions such as _muluint..., if this option is used for a library
function the appropriate library function needs to be recompiled with the same
option. If the project consists of multiple source files then all the source
file should be compiled with the same --callee-saves option string. Also see
Pragma Directive
CALLEE-SAVES.
.
- --debug
When this option is used the compiler will generate debug information
, that can be used with the SDCDB. The debug information is collected in a
file with .cdb extension. For more information see documentation for SDCDB.
- --regextend
This option will cause the compiler to define pseudo registers
, if this option is used, all source files in the project should be compiled
with this option. See section Register Extension for more details.
- --compile-only(-c)
will compile and assemble the source only, will not
call the linkage editor.
- --xram-loc
<Value> The start location of the external ram, default
value is 0. The value entered can be in Hexadecimal or Decimal format .eg.
--xram-loc 0x8000 or --xram-loc 32768.
- --code-loc
<Value> The start location of the code segment , default
value 0. Note when this option is used the interrupt vector table is also relocated
to the given address. The value entered can be in Hexadecimal or Decimal format
.eg. --code-loc 0x8000 or --code-loc 32768.
- --stack-loc
<Value> The initial value of the stack pointer. The default
value of the stack pointer is 0x07 if only register bank 0 is used, if other
register banks are used then the stack pointer is initialized to the location
above the highest register bank used. eg. if register banks 1 & 2 are used
the stack pointer will default to location 0x18. The value entered can be in
Hexadecimal or Decimal format .eg. --stack-loc 0x20 or --stack-loc 32. If all
four register banks are used the stack will be placed after the data segment
(equivalent to --stack-after-data)
- --stack-after-data
This option will cause the stack to be located in the
internal ram after the data segment.
- --data-loc
<Value> The start location of the internal ram data segment,
the default value is 0x30.The value entered can be in Hexadecimal or Decimal
format .eg. --data-loc 0x20 or --data-loc 32.
- --idata-loc
<Value> The start location of the indirectly addressable
internal ram, default value is 0x80. The value entered can be in Hexadecimal
or Decimal format .eg. --idata-loc 0x88 or --idata-loc 136.
- --peep-file
<filename> This option can be used to use additional
rules to be used by the peep hole optimizer. See section Peep Hole optimizations
for details on how to write these rules.
- --lib-path (-L)
<absolute path to additional libraries> This option
is passed to the linkage editor, additional libraries search path. The path
name must be absolute. Additional library files may be specified in the command
line . See section Compiling programs for more details.
- -I <path>
The additional location where the pre processor will look
for <..h> or "..h" files.
- -D<macro[=value]>
Command line definition of macros. Passed
to the pre processor.
- -E
Run only the C preprocessor. Preprocess all the C source files specified
and output the results to standard output.
- -M
Tell the preprocessor to output a rule suitable for make describing
the dependencies of each object file. For each source file, the preprocessor
outputs one make-rule whose target is the object file name for that source
file and whose dependencies are all the files `#include'd in it. This rule
may be a single line or may be continued with `\'-newline if it is long.
The list of rules is printed on standard output instead of the preprocessed
C program. `-M' implies `-E'.
- -C
Tell the preprocessor not to discard comments. Used with the `-E' option.
- -MM
Like `-M' but the output mentions only the user header files included
with `#include file"'. System header files included with `#include
<file>' are omitted.
- -Aquestion(answer)
Assert the answer answer for question, in case it is
tested with a preprocessor conditional such as `#if #question(answer)'.
`-A-' disables the standard asser- tions that normally describe the target
machine.
- -Aquestion
(answer) Assert the answer answer for question, in case it is
tested with a preprocessor conditional such as `#if #question(answer)'.
`-A-' disables the standard assertions that normally describe the target machine.
- -Umacro
Undefine macro macro. `-U' options are evaluated after all `-D'
options, but before any `-include' and `-imac- ros' options.
- -dM
Tell the preprocessor to output only a list of the mac- ro definitions
that are in effect at the end of prepro- cessing. Used with the `-E' option.
- -dD
Tell the preprocessor to pass all macro definitions into the output,
in their proper sequence in the rest of the output.
- -dN
Like `-dD' except that the macro arguments and contents are omitted.
Only `#define name' is included in the output.
- -S
Stop after the stage of compilation proper; do not as- semble. The output
is an assembler code file for the input file specified.
- -Wa asmOption[,asmOption]... Pass the asmOption to the assembler
- -Wl linkOption[,linkOption] .. Pass the linkOption to the linker.
- --int-long-reent
Integer (16 bit) and long (32 bit) libraries have been
compiled as reentrant. Note by default these libraries are compiled as non-reentrant.
See section Installation for more details.
- --cyclomatic
This option will cause the compiler to generate an information
message for each function in the source file. The message contains some important
information about the function. The number of edges and nodes the compiler
detected in the control flow graph of the function, and most importantly the
cyclomatic complexity see section on Cyclomatic Complexity for more details.
- --float-reent
Floating point library is compiled as reentrant.See section
Installation for more details.
- --out-fmt-ihx
The linker output (final object code) is in Intel Hex format.
(This is the default option).
- --out-fmt-s19
The linker output (final object code) is in Motorola S19
format.
- --nooverlay
The compiler will not overlay parameters and local variables
of any function, see section Parameters and local variables for more details.
- --main-return
This option can be used when the code generated is called
by a monitor program. The compiler will generate a 'ret' upon return from the
'main' function. The default option is to lock up i.e. generate a 'ljmp .'
.
- --no-peep
Disable peep-hole optimization.
- --peep-asm
Pass the inline assembler code through the peep hole optimizer.
Can cause unexpected changes to inline assembler code , please go through the
peephole optimizer rules defnied in file 'SDCCpeeph.def' before using this
option.
- --iram-size
<Value> Causes the linker to check if the interal ram
usage is within limits of the given value.
The following options are provided for the purpose of retargetting and
debugging the compiler . These provided a means to dump the intermediate code
(iCode) generated by the compiler in human readable form at various stages
of the compilation process.
- --dumpraw
. This option will cause the compiler to dump the intermediate
code into a file of named <source filename>.dumpraw just after the intermediate
code has been generated for a function , i.e. before any optimizations are
done. The basic blocks at this stage ordered in the depth first number, so
they may not be in sequence of execution.
- --dumpgcse.
Will create a dump if iCode, after global subexpression elimination,
into a file named <source filename>.dumpgcse.
- --dumpdeadcode
.Will create a dump if iCode, after deadcode elimination,
into a file named <source filename>.dumpdeadcode.
- --dumploop.
Will create a dump if iCode, after loop optimizations, into
a file named <source filename>.dumploop.
- --dumprange.
Will create a dump if iCode, after live range analysis, into
a file named <source filename>.dumprange.
- --dumpregassign.
Will create a dump if iCode, after register assignment
, into a file named <source filename>.dumprassgn.
- --dumpall.
Will cause all the above mentioned dumps to be created.
Note that the files created for the dump are appended to each time. So
the files should be deleted manually , before each dump is created.
When reporting bugs, it will be very helpful if you could include these
dumps along with the portion of the code that is causing the problem.
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Intel(R) RealSense(TM) SDK Hands Viewer Web Sample
Gestures
Alerts
Start
Stop
wipe
fist
tap
fingers
Status:


--- layout: post title: My Weekend of Endless Questions with a Six-Year-Old date: '2013-11-04T17:39:44-05:00' tags: [] category: blog tumblr_url: http://talziv.me/post/66032916147/my-weekend-of-endless-questions-with-a ---
Look, Aba, that guy is sleeping. [train passes.]
Miss Mary Mack Mack Mack. All Dressed in Black Black Black … [etc., ad nauseam]
Why is that guy dirty? Didn’t he know he was dirty? [about a caveman]
Why did they kill the Indians?
Can you pick me up, Aba?
Are we going the correct way?
Can we go to the M&M store?
Aba, who is John Yoodman?
Why don’t they make this place bigger, Aba?
Why is there fruit on the ceiling?
Can you pick me up, Aba?
See how big it is? Let’s go upstairs.
These are my second favorite. Now they’re my favorite too.
Look Aba! [pointing to blue and white Israeli M&Ms]
Let’s take the elevator.
Let’s eat the M&Ms but leave some for mommy, promise?
Aba, can you pick me up?
How far is it? Two more minutes? It’s already been three, four, five …
No, Aba! The white man’s not walking!
Aba, what can I do? Watch TV? Ok.
I don’t know why but I like to watch when they fix the house. I don’t know why.
[whispering] Aba, the food is good but the tofu is terrible.
Cosmic Diner Breakfast
Can I play on your phone?
How many bicycles are there in the world?
No, I mean how many bicycles are there in New York City?
[ok, well how many bikes do you see outside?] one, two, … [etc.]
[how many people?] one, two, … [etc.]
[ok, let’s say there are 5M ppl in NYC and let’s say 10% of them have bikes] Hmm, Aba, can I play with your phone?
Miss Mary Mack Mack Mack. All Dressed in Black Black Black … [etc.]
Why don’t they make this place bigger?
Intrepid Museum
How long do we have to wait here?
Yes, I know what a submarine is… Wait, people lived in here?
Wait, who’s room is this? [The Captain’s] Why did he leave his glasses here?
Can we go in the elevator?
No I don’t want to see the movie [about Kamikazes]. Can we go in the elevator?
This is a runway?
Oh, that is a plane from Is-ray-al? Why do they have a plane from Is-ray-al? How did they get a plane from Is-ray-al?
How do they know what plane to take? [Who, Noa?] The pilots.
Why does that plane have teeth? To eat your country?
How many people were on the space shuttle? One, two, three …
Why do they have the Russian space shuttle here? Oh, it is so much smaller.
Why did that one crash? So they died? …Even him?
[Where are you steering us to, young lady] To Ha-why-ii.
Did they all die on the boat? [No.]
So some of them died on the boat?
Can we take a taxi?
Spider-Man
We’re early, Aba? Well at least we’re not late and missed it!
The W Hotel
This hotel is nicer than Hila’s hotel.
Can I push the button?
Can I play on your phone?
Who is Woody Allen? Want me to take a picture of it?
Starbucks
We’re almost second in line!
So you’re going to get me a big hot chocolate too?
There. I drank the small one and half of the big one, ok?
He ran the race too? [NYC Marathon] I bet he lost.
Spider-Man
Wow, look we’re all the way on the top [row Y; the end] so we can see everything! [truly happy]
Why do they call it “Turn off the Dark?”
So they’ll tell us why they call it “Turn off the Dark?”
What happened?
Aba, what happened?
So he died? Just pretend, right?
Then how did it light up?
Lots of people for the bathroom. Why don’t they make this place bigger?
Whoa, how much spider-mans are there?
Why is the scientist a bad guy?
Can I sit on your lap?
They’re just pretending to hit each other.
But why do they call it “Turn off the Dark”?
Where are we going? [To Cindy’s party.] Did she win the race?
Is this an airport? [No, a bus station.] A bus station!
What are they doing? [Cleaning up a flea market, Noa.] But they’ll be cleaning up all night!
Can I see your medal?
Can I wear your medal?
Can I play on your phone?
Aba, can we take a taxi?
Car ride home
Aba, can I have some M&Ms?


fFc=: (32&+)@(*&1.8) ]b=:fFc _40 0 100 _40 32 212 cFf=: fFc^:_1 cFf b _40 0 100The result of the phrase f &. g is the verb (g^:_1)@(f & g) . The function g can be viewed as preparation (which is done before and undone after) for the application of the “main” function f . For example:
b=: 0 0 1 0 1 0 1 1 0 0 0 sup=: </\ Suppress ones after the first sup b 0 0 1 0 0 0 0 0 0 0 0 |. sup |. b Suppress ones before the last 0 0 0 0 0 0 0 1 0 0 0 sup&.|. b 0 0 0 0 0 0 0 1 0 0 0 3 +&.^. 4 Multiply by applying the exponential 12 to the sum of logarithms (^.3)+(^.4) 2.48491 ^ (^.3)+(^.4) 12 ]c=: 1 2 3;4 5;6 7 8 +-----+---+-----+ |1 2 3|4 5|6 7 8| +-----+---+-----+ |.&.> c Open, reverse, and then box +-----+---+-----+ |3 2 1|5 4|8 7 6| +-----+---+-----+
Exercises
| 26.1 | Use the following as exercises in reading and writing.
Try using arguments such as a=: 2 3 5 7 and b=: 1 2 3 4
and c=<EMAIL_ADDRESS>i. 3 4 : f=: +&.^. Multiplication by addition of natural logs g=: +&.(10&^.) Multiplication using base-10 logs h=: *&.^ Addition from multiplication i=: |.&.> Reverse each box j=: +/&.> Sum each box k=: +/&> Sum each box and leave open |


Big Night (1996) A film review by Dave Cowen Copyright 1996 Dave Cowen
"My brother is a world above you," says Secondo (Stanley Tucci) to Pascal (Ian Holm) about his idealist brother Primo (Tony Shaloub). Primo makes subtle, authentic Italian food and refuses to serve watered-down, traditional fare at his restaurant. "I'm a businessman," retorts successful but commercial restauranteur Pascal, "what are you?" One of the many maddening things about BIG NIGHT is that we never do get to find out who Secondo really is... and a lot more is missing as well.
Primo and Secondo have come over from Italy in the 50's with the dream of making it big in America by doing what they know best: making the greatest Italian cuisine known to man. After two years of preparation, they've just opened their restaurant and found that the patrons in the unnamed east coast city they've settled in don't seem very interested in genuine Italian cuisine, preferring instead the "spaghetti and meatballs" style of "Italian" food available down the street at Pascal's restaurant. The bank has demanded a payment by the end of the month on their loan, and the brothers don't have the money. Pascal, in a seeming fit of goodwill, has recommended the brothers' restauarant to jazz great Louie Prima to hoist the brothers out of debt and into the restaurant spotlight. BIG NIGHT covers the boys on their quest to serve the greatest meal ever on the last night their restaurant is open. In doing so, the film brings up the themes of brotherly love and the myth of the American dream.
Unfortunately, the movie doesn't stick to that quest, instead bringing in puzzling subplots about the romantic affairs of the brothers. Primo's affair with Ann (Allison Janney), a widowed Florist, is cute but brings little to the plot. Secondo's relationship with his girlfriend Phyllis (Minnie Driver), however, borders on the nonsensical. Secondo refuses to make physical advances to Phyllis, instead telling her that he wants to wait until they are more financially secure. Throughout the film, Secondo ignores Phyllis, showing little attraction or desire for her, and all of the exchanges between the two are awkward.  At the end of the film, Secondo seems genuinely distraught that Phyllis, after seeing Secondo and Gabriella together, wants nothing to do with him -- something that I really had a hard time believing.
I don't mind not liking a character, but Secondo's motivations in BIG NIGHT make so little sense that I truly had no idea why he was doing the things he did. It's not that his character was an enigma, but that his actions are never adequately explained. Later in the film, Secondo insists that he will stay in America, after his brother reveals that he's lined up a job for both of them at their Uncle's restaurant in Rome. Why? It's explained only in the vaguest of ways. While the plot expresses Primo and Pascal's motivations clearly in the script, Secondo, the focal character, wanders through the action making idiotic choices for no explained reason. Some of the most sympathetic characters in film are shown as having made poor choices in life -- and it's easy to sympathize with a character if they make a bad choice as long as they had a good reason at the time to do so. I don't even mind characters who make completely arbitrary decisions provided that the character's poor judgement is explained in the film. However, I get the feeling that Tucci wants us to sympathize with Secondo, and to like him -- and other individuals upon seeing the movie seem to have found him a "likable" character -- but I found the character to be so idiotic and unlikable as to spoil the rest of the film.
Ian Holm's portrayal of Pascal verges on the ridiculous. Every other word out of Holm is an obscenity filtered through an obviously fake accent, and he comes off as being entirely unconvincing as an Italian restauranteur. The comedy in the film is played as being extremely broad -- overstated reactions are the norm (the "heavenly" reactions of those biting into Primo's food are extremely overdone, and by the end of the film, had me wincing every time any character had anything to eat). Other than Tony Shaloub's sublime and noble Primo, the rest of the characters have little depth.
While some of the food prepared by Primo looks truly delicious, pictures of food are not enough to make me enjoy a film. While the static camerawork is acceptable, tracking shots and zooms seem hesitant and jittery, strange for a film that lists a Steadicam operator in its credits.
It seems equally strange for a movie that seems to value Primo's sense of subtlety and richness in flavor of food so highly to play the comedy in such an over-the-top way, to make only the basest of observations on the topics it brings up...while supplanting the film with shallow characters, little plot and less than amazing camerawork. So I ask the viewer of this movie, as the choices this film makes seem less like Primo's artistic virtuosity or Pascal's commercial mechanations, and more close to the arbitrary decisions of Secondo, "What is BIG NIGHT?" To that, I answer, "confused" -- a quality that left me with a bad taste in my mouth after the BIG NIGHT.
Dave Cowen<EMAIL_ADDRESS>Eschatfische. ---------------------------- http://www.fische.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Values and Types
Gravity is a dynamically typed language so variables do not have a type, although they refer to a value that does have a type. In Gravity everything is an object (with methods you can call and instance variables you can use). Basic intrinsic types are of class Object, Int, Float, String, Bool, Null, Class, Function, Fiber, Instance, List, Map and Range.
Object
Object is the root class of every object inside Gravity. Through the Object class, objects inherit a basic interface to the runtime system and the ability to behave as Gravity objects.
Int
An Int represents a 64 bits (can optionally be compiled as 32bit) signed number:
var a = 123; // decimal
var b = 0xFF; // hexadecimal
var c = 0O7777; // octal
var d = 0B0101; // binary
Float
A float represents a 32 bits (or better) floating point number:
var a = 3.1415; // float
var b = 1.25e2; // scientific notation
String
Strings are an immutable sequence of characters. String literals can be surrounded in double or single quotes.
var a = "Hello World"; // double quotes
var b = 'Hello World'; // single quotes
// Strings have also a length property
var n = b.length; // n is now 11
Bool
The bool data type can have only two values, they are the literals true and false. A Bool value expresses the validity of a condition (tells whether the condition is true or false).
var a = true;
var b = false;
Null
It indicates the absence of a value. If you call a method that doesn’t return anything and get its returned value, you get null back. The null data type is also used to initialize uninitialized variables with a default value.
class Newton {
var mass = 10;
var acceleration;
func force() {
return mass * acceleration;
}
}
func f2() {
var sir = Newton();
// acceleration instance variable has no default value
// so it is automatically set to null
return sir.force();
}
func f1() {
var a;
// a is uninitialized so it has a default null value
return a;
}
Range
A range is an object that represents a consecutive range of numbers. Syntax for this type has been directly inspired by Swift.
// a represents a range with values 1,2,3
var a = 1...3;
// b represents a range with values 1,2
var b = 1..<3;
// Ranges have also a conveniente count property
var n1 = a.count; // n1 is now 3
var n2 = b.count; // n2 is now 2


--- title: Logging keywords: fastai sidebar: home_sidebar summary: "Callbacks for logging data" description: "Callbacks for logging data" nb_path: "nbs/13_logging.ipynb" ---
The Log
Callback serves the purpose of logging data generated during a training run. The log holds the following objects of interest:
batch_log
- a dictionary of batch-wise logged data. Each key is a string denoting the name of a logged attribute. The values are lists of lists, where each sub-list is the value of the given attribute for each item in a batch. For example log.batch_log['rewards'][5]
would yield an array of rewards for each item in batch 5
timelog
- a dictionary of lists. The keys denote different training steps (build_buffer
, sample_batch
, etc) with how long the step took for each batch. To view the times for all training stages, use the Log.plot_timelog
function.
metrics
- a dictionary of lists. Each key is the name of a tracked metric. Each value is a list containing the value of that metric for each batch. Metrics are single scalar values, one value per batch. Metrics can be plotted with the Log.plot_metrics
function
unique_samples
- a set containing every unique sample seen during training. This can be used to quickly reference if a sample has been seen before
df
- a dataframe containing every unique sample and every batch_log
value associated with that sample
Adding new items to metric tracking and batch logging is easy.
Use the add_log
to add a new term to the batch log. At some point during the batch, add the values to be logged to the current BatchState
with an attribute name that matches the name added to the log. The batch log will automatically add the values to the batch log.
Use add_metric
to add a new term to the metric log. At some point during the batch, compute the metric you wish to log. Then use Log.update_metric
to add the value to the metric log.
Here's an outline implementation:
class MyCallback(Callback):
def __init__(self):
super().__init__(name='my_callback')
def setup(self):
log = self.environment.log
log.add_log(self.name) # adding new term to batch log
log.add_metric(self.name) # adding new term to metrics
def compute_reward(self):
# make tensor of dummy rewards
batch_state = self.environment.batch_state
bs = len(batch_state.samples)
rewards = to_device(torch.ones(bs).float())
batch_state.rewards += rewards
batch_state[self.name] = rewards # this is the value the batch log will pick up
def after_compute_reward(self):
log = self.environment.log
batch_state = self.environment.batch_state
my_callback_rewards = batch_state[self.name]
my_metric = my_callback_rewards.mean()
log.update_metric(self.name, my_metric.detach().cpu().numpy()) # update metric value


Back Step X of Y
Do think you're in time to appeal to the tax tribunal?
Use the date shown on the last letter you received from HMRC to work out whether you meet the deadline to appeal to the tax tribunal. You usually have up to 30 days. You can still submit an appeal if you think you are late.
Help with tax tribunal deadlines
You usually have up to 30 days to appeal to the tax tribunal. This time starts from the date you received your last letter relating to the dispute from HMRC.
If you've asked for a review but have no response
If HMRC have not responded to your request to review your tax dispute, you have up to 45 days from the date of the last letter you received from HMRC.
You should scan and upload a copy of your letter requesting when you submit your appeal details.


PyConAU 2016 Presentation
I presented a talk on Big data biology for pythonistas: getting in on the genomics revolution at PyCon Au 2016.
In the abstract, I promised the following:
In 2001 Bill Clinton unveiled “the most important, most wondrous map ever produced by humankind” - the human genome. This monumental endeavour cost $3 billion, and took hundreds of scientists from all over the world 13 years. Today, a single person can generate such a map in ~2 days for $1000. This dramatic drop in cost means that we now have data for hundreds of thousands of people - and other species - from all corners of the globe, and cohorts are available for every major disease under the sun. Petabytes of new data are also being generated every week.
Most of this data is publicly available, so anyone with an internet connection can try in silico biology from the comfort of their own home. In my talk, I’ll walk through what this data looks like, and how it’s analysed - with a special focus on where python fits into the workflow (;tldr the most interesting parts!). I will also highlight some common pitfalls software engineers and developers face when getting into this space.
Finally, I’ll showcase several other facets of bioinformatics that sorely need contributions from good coders. Genomics is rapidly entering the world of health care in both the public and private hospital sectors, and in direct-to-consumer genetic testing. Understanding this data, the challenges and limitations of its analytics will help us all make better-informed health and medical decisions, affecting our quality of life and those we love.
The slides for this:
See the full video on youtube here.
If you are trying to follow up on my talk and carry out an analysis of some data (or are looking for some data, or would like to know where to find the data from paper X), please leave a comment below, and I’ll do my best to answer your question and help! I don’t monitor the comments on youtube or slideshare, but I do get a ping if you leave a comment here.


Above is a detail from a literally marvellous cabinet of curiosities picture from the Musei Wormiani Historia of 1655, brought to my attention by the redoubtable Peacay of BibliOdysssey. Go to this link, and click on the image for a huge version.


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Page not found! Please check the URL for any errors.
If you have been referred to this page from another, please contact the author of that page to change their link.
You can browse the GitHub repo for all existing pages.
Alternatively, go to the Homepage and browse from there.
If you would like to suggest a change or a new page on this site, you can open an issue or a Pull Request.


“The beet is the most intense of vegetables. The radish, admittedly, is more feverish, but the fire of the radish is a cold fire, the fire of discontent not of passion. Tomatoes are lusty enough, yet there runs through tomatoes an undercurrent of frivolity. Beets are deadly serious.”
— Tom Robbins


{% extends "layout.nunjucks" %}
{% set page_title = "gifts-of-hope" %}
{% set num_sponsors = 0 %}
{% set donation_total = 0 %}
{% set donation_goal = 8000 %}
{% set num_families = 80 %}
{% block site_title %}Give a Christmas Gift of Hope to Parents of Children Undergoing Cancer Treatment | {% endblock %}
{% block share_meta %}
{% endblock share_meta %}
{% block page_class %}gifts-of-hope{% endblock %}
{% block site_content %}
Please make all checks payable to Emma's Hope, Inc and send to: Please add "Gifts of Hope 2018" to the Memo line. The Christmas season is a wonderful time, but it can also bring along with it stress and anxiety, especially for those whose children are fighting for their lives. Help us provide a general gift card to allow families to use however they need, and bring them a little hope and joy this holiday season.Gifts of Hope
Or, Mail In Your Sponsorship
PO Box 105
Sherrill, NY 13461
Why Gift Cards?
Look back on how you and the community helped families at Christmas time!
← 2017


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7
Random number
7.1
Uniformly distributed random number
7.2
Non-uniformly distributed random number
7.2.1
Transformation method
7.2.2
Rejection method
7.2.3
Numerical examples
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Configuration
All settings are stored locally in your browser. This means that while they survive browser re-starts, they are not available across different machines, only to you in this browser.
All settings are stored locally in your browser. This means that while they survive browser re-starts, they are not available across different machines, only to you in this browser.


Dex-Net as a Service (DNaaS)
Pusong Li, Bill DeRose, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg (UC Berkeley, AUTOLAB) and Juan Aparicio Ojea (Siemens)
UC Berkeley’s AUTOLAB
** Currently in beta release. Please report bugs and suggestions to Pusong Li at<EMAIL_ADDRESS>**
Anyone can upload a 3D object mesh (in .obj format with triangular faces) and visualize candidate grasps for a parallel-jaw gripper, each ranked by their robustness to inherent uncertainty/errors in sensing, control, and physics (green for most robust).
Computing robust grasps currently requires up to 3 minutes; this version is single-threaded and does not support simultaneous users.
Dex-Net 1.0 estimates the probability of force closure under sampled uncertainty in object and gripper pose and friction. Dex-Net 2.0 and 3.0 include Deep Learning using the the Dex-Net 1.0 sampling model to synthesize training data.
Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. Pusong Li, Bill DeRose, Jeffrey Mahler, Juan Aparicio Ojea, Ajay Kumar Tanwani, Ken Goldberg. IEEE International Conference on Automation Science and Engineering (CASE), Munich, Germany, August 2018.
Dex-Net 1.0: A Cloud-Based Network of 3D Objects for Robust Grasp Planning Using a Multi-Armed Bandit Model with Correlated Rewards. Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kroeger, James Kuffner, Ken Goldberg. IEEE International Conference on Robotics and Automation, (ICRA), Stockholm, Sweden. May 2016. Finalist for Best Manipulation Paper Award.
The DNaaS project is sponsored in part by NSF, NDSEG, Siemens, Google, Amazon Robotics, Toyota Research Institute, Autodesk, ABB, Samsung, Knapp, Loccioni, Honda, Intel, Comcast, Cisco, Hewlett-Packard, PhotoNeo, and NVidia.
For more information, papers, and videos, please see the Dex-Net project on Github, or read our FAQs.


| Offensive Stats | # per game | # total |
|---|---|---|
| Points Scored | ||
| Yards gained | ||
| Passing Yards | ||
| Rushing Yards | ||
| Passing Touchdowns | ||
| Rushing Touchdowns | ||
| Sacks Allowed | ||
| Turnovers Lost | ||
| Defensive Stats | # per game | # total |
| Points Allowed | ||
| Yards Allowed | ||
| Passing Yards Allowed | ||
| Rushing Yards Allowed | ||
| Passing Touchdowns Allowed | ||
| Rushing Touchdowns Allowed | ||
| Sacks | ||
| Turnovers Gained |


BMLTiOSLibCommunicationHandler
class BMLTiOSLibCommunicationHandler : BMLTSession, BMLTCommunicatorDataSinkProtocol
This class is the workhorse of the system.
It is instantiated by the BMLTiOSLib class, and handles the actual communications with the Root Server.
-
This is a special typeAlias for when we save a meeting as a new meeting. Making the meeting object editable adds a another modicum of security.
Declaration
Swift
typealias NewMeetingRefCon = (meetingObject: BMLTiOSLibEditableMeetingNode, refCon: AnyObject?)
-
Undocumented
Declaration
Swift
typealias PermissionsTuple = (id: Int, name: String, permissions: BMLTiOSLibPermissions)
-
This helps us to parse out the various Service bodies.
See moreDeclaration
Swift
class ServiceBodyRawDataDictionary
-
These are URL suffixes for calling into the semantic interface. We also use them as enumerations.
See moreDeclaration
Swift
enum BMLTiOSLibCommunicationHandlerSuffixes : String
-
This is the minimum server version we’ll support. Format is XYYYZZZ, with X = Main version (No leading zeroes), YYY = Feature Version (with leading zeroes), and ZZZ = Fix Version (with leading zeroes).
Declaration
Swift
let s_minServerVersion: Int
-
This is a semaphore that is set to let the class know that it needs to call a different callback for new and restored meetings.
Declaration
Swift
var _newMeetingCall: Bool
-
This contains all the permissions in a simple string Dictionary.
Declaration
Swift
var _permissions: [BMLTiOSLibCommunicationHandler.PermissionsTuple]
-
This contains all the various available Service bodies as a simple array of string dictionaries in a flat format.
Declaration
Swift
var _availableServiceBodies: [[String : String]]
-
This is the communication manager that we are using to connect to the server.
Declaration
Swift
var _activeCommunicator: BMLTCommunicator!
-
This contains all the various available formats.
Declaration
Swift
var _availableFormats: [[String : String]]
-
This stores instances of our available formats. These are the
root
objects that are referenced everywhere else.Declaration
Swift
var _allformatsStored: [BMLTiOSLibFormatNode]
-
This is a semaphore that is set while the
all used formats
call is going.Declaration
Swift
var _gettingAllUsedFormats: Bool
-
This contains the available Server languages (not just the keys).
Declaration
Swift
var _availableServerLanguages: [BMLTiOSLibServerLang]
-
This is the BMLTiOSLib instance that
owns
this connection.Declaration
Swift
weak var delegate: BMLTiOSLib!
-
This contains the localization key for why the URL is wrong. It should be nil if everything is OK.
Declaration
Swift
var errorDescription: BMLTiOSLibCommunicationHandlerBadTestReasons!
-
This contains all the various available Service bodies, as a flat array of
smart
nodes.Declaration
Swift
var allServiceBodies: [BMLTiOSLibHierarchicalServiceBodyNode]
-
This contains all the various available Service bodies, but arranged in a hierarchy.
Declaration
Swift
var hierarchicalServiceBodies: BMLTiOSLibHierarchicalServiceBodyNode!
-
These are the public formats.
Declaration
Swift
var formats: [BMLTiOSLibFormatNode]
-
This is set to true if the admin login happened, and we are logged into an admin session.
Declaration
Swift
var adminLoggedIn: Bool
-
This is the basic server info for our server.
Declaration
Swift
var serverInfo: BMLTiOSLibServerInfo?
-
This is a calculated property that returns a boolean to tell whether or not the server is valid and connected.
Declaration
Swift
var isConnected: Bool { get }
-
This is a calculated property that returns a boolean to tell whether or not we are logged into an admin session.
Declaration
Swift
var isLoggedInAsAdmin: Bool { get }
-
This returns our server-available formats.
Declaration
Swift
var allAvailableFormats: [BMLTiOSLibFormatNode] { get }
-
This will hold the server version (as an integer).
Declaration
Swift
var serverVersionAsInt: Int { get }
-
This contains the default location information for the server.
Declaration
Swift
var defaultLocation: CLLocationCoordinate2D { get }
-
This is set to true if the server allows semantic administration.
Declaration
Swift
var semanticAdminEnabled: Bool { get }
-
These are the available value keys for use when querying meeting data.
Declaration
Swift
var availableMeetingValueKeys: [String] { get }
-
This is a list of the language keys for this server.
Declaration
Swift
var availableLangKeys: [String] { get }
-
This is our default language key.
Declaration
Swift
var defaulLangKey: String { get }
-
This is set to true if emails sent to the server are enabled (Goes to meeting contacts).
Declaration
Swift
var emailMeetingContactsEnabled: Bool { get }
-
This is set to true if emails sent to the meeting contacts also send a copy to the Service body Admin for that meeting.
Declaration
Swift
var emailServiceBodyAdminsEnabled: Bool { get }
-
This is number of changes stored per meeting.
Declaration
Swift
var changeDepth: Int { get }
-
This is the server Google API Key
Declaration
Swift
var googleAPIKey: String { get }
-
This is the version number as a string.
Declaration
Swift
var versionString: String { get }
-
This is what our server distance units are. This will be either
mi
(miles) orkm
(kilometers).Declaration
Swift
var distanceUnitsString: String { get }
-
This is what our server distance units are. This will be either
mi
(miles) orkm
(kilometers).Declaration
Swift
var distanceUnits: BMLTiOSLibDistanceUnits { get }
-
Declaration
Swift
init(_ inDelegate: BMLTiOSLib)
-
Belt and suspenders. Just make sure we remove everything.
Declaration
Swift
deinit
-
Belt and suspenders. Just make sure we remove everything.
Declaration
Swift
func clearStorage()
-
This funtion deletes the node hierarchy passed in. It recurseively walks the hierarchy.
Declaration
Swift
func deleteNodes(_ inNode: BMLTiOSLibHierarchicalServiceBodyNode)
Parameters
inNode
This is the root node of the hierarchy we are to delete.
-
Declaration
Swift
func permissions(forServiceBody inServiceBody: BMLTiOSLibHierarchicalServiceBodyNode) -> BMLTiOSLibPermissions
Return Value
If we are logged in as an admin, this will indicate the level of permission we have with a given Service body.
-
This cleans everything up if we have a problem.
Declaration
Swift
func cleanupOnAisleSeven()
-
This recursive method is called after the formats query finishes, so it will not be established unless the entire connection has been validated.
Declaration
Swift
func populateHierarchicalServiceBodies(inParentObject: BMLTiOSLibHierarchicalServiceBodyNode?) -> BMLTiOSLibHierarchicalServiceBodyNode
Parameters
inParentObject
This is for recursion. If supplied (not-nil), then it is the parent node to be populated.
Return Value
a new node with a Service body. This node may have other nodes in it.
-
This handles communication errors.
Declaration
Swift
func handleCommunicationError(_ inOffendingCall: BMLTiOSLibCommunicationHandlerSuffixes, inBadData: AnyObject?)
Parameters
inOffendingCall
This is the call that was being responded to.
inBadData
This is the data that was not what it should have been.
-
Called when we want to validate the server credentials.
The server must be SSL, with a valid published CA value.
Declaration
Swift
func testServerURI()
-
This is called to request the available Service bodies from the server.
Declaration
Swift
func getServiceBodiesFromServer()
-
This is called to request the available formats from the server.
Declaration
Swift
func getFormatsFromServer()
-
This is called to request the available languages (localizations) from the server.
Declaration
Swift
func getLanguagesFromServer()
-
This is called to request the available permissions from the server.
Declaration
Swift
func getPermissionsFromServer() -> Bool
Return Value
a Bool, which is true, if the connection is to a valid server with semantic admin on, and we are logged in.
-
This is called to set a meeting change.
If the meeting ID is set to zero, then a new meeting is created.
Declaration
Swift
func saveMeetingChanges(_ inMeetingObject: BMLTiOSLibEditableMeetingNode)
Parameters
inMeetingObject
an editable meeting object.
-
This begins a meeting search.
Declaration
Swift
func meetingSearch(_ inURISuffix: String)
Parameters
inURISuffix
This is the suffix that is appened to the fundamental URI.
-
Called to get meeting change records from the Root Server.
Declaration
Swift
func getAllMeetingChanges(inFromDate: Date?, inToDate: Date?, inServiceBodyID: Int?, inMeetingID: Int?, inUserID: Int?, inMeetingNode: BMLTiOSLibMeetingNode?)
Parameters
inFromDate
This is a Date object that contains a date/time that represents the first meeting change instance. It can be nil for no Start Date.
inToDate
This is a Date object that contains a date/time that represents the last meeting change instance. It can be nil for no End Date.
inMeetingID
An Int, with the ID of one meeting for which we want to get changes. It can be nil for all meeting changes within the given date range.
inServiceBodyID
An Int, with the ID of one Service Body for which we want to get changes. It can be nil for all meeting changes within the given date range.
inUserID
An Int, with the ID of one Admin User for which we want to get changes. It can be nil for all meeting changes within the given date range. This is only valid for logged-in users.
inMeetingNode
If this is provided, then the changes will be sent directly to the meeting node, instead of the handler.
-
Called to get meeting change records from the Root Server.
Declaration
Swift
func getDeletedMeetingChanges(inFromDate: Date?, inToDate: Date?, inServiceBodyIDs: [Int]?)
Parameters
inFromDate
This is a Date object that contains a date/time that represents the first meeting change instance. It can be nil for no Start Date.
inToDate
This is a Date object that contains a date/time that represents the last meeting change instance. It can be nil for no End Date.
inServiceBodyIDs
An Array of Int, with the ID of one or more Service Bodies for which we want to get changes. It can be nil for all meeting changes within the given date range.
-
Called to restore a deleted meeting.
We have to assume the logged-in admin has rights. If they don’t, it will be stopped at the server.
Declaration
Swift
func restoreDeletedMeeting(_ inMeetingID: Int) -> Bool
Parameters
inMeetingID
An Int, with the ID of the meeting to be restored.
Return Value
true, if the operation went successfully.
-
Called to delete a meeting.
We have to assume the logged-in admin has rights. If they don’t, it will be stopped at the server.
Declaration
Swift
func deleteMeeting(_ inMeetingID: Int)
Parameters
inMeetingID
An Int, with the ID of the meeting to be deleted.
-
Called to rollback a meeting to before a change.
We have to assume the logged-in admin has rights. If they don’t, it will be stopped at the server.
Declaration
Swift
func rollbackMeeting(_ inMeetingID: Int, toBeforeChange inChangeID: Int) -> Bool
Parameters
inMeetingID
An Int, with the ID of the meeting to be rolled back.
inChangeID
An Int, with the ID of the change.
Return Value
true, if the operation was dispatched successfully.
-
Called to log into a server that has semantic admin turned on.
Declaration
Swift
func adminLogin(loginID inLoginID: String, password inPassword: String) -> Bool
Parameters
inLoginID
This is a string, with the login ID.
inPassword
This is a string, with the password.
Return Value
a Bool, which is true, if the connection is to a valid server with semantic admin on.
-
Called to log out of a logged-in server that has semantic admin turned on.
Declaration
Swift
func adminLogout() -> Bool
Return Value
a Bool, which is true, if the connection is to a valid server with semantic admin on.
-
If sending messages to meeting contacts is enabled, this function will send a basic email to the contact for this email.
Declaration
Swift
func sendMessageToMeetingContact(meetingID: Int, serviceBodyID: Int, fromAddress: String, messageBody: String)
Parameters
meetingID
An integer, with the BMLT ID for the meeting.
serviceBodyID
An integer, with the BMLT ID for Service body for the meeting.
fromAddress
The email to be used as the
from
address. This is required, and should be valid.messageBody
A String containing the body of the message to be sent.
-
Called when we want to validate the server credentials.
Declaration
Swift
func handleServerTest(_ inResponseData: BMLTiOSLibServerInfo)
Parameters
inResponseData
The parsed JSON object. This is a server info object.
-
Called when we want to parse the returned Service body data.
Declaration
Swift
func handleServiceBodies(_ inResponseData: [[String : String]])
Parameters
inResponseData
The parsed JSON object. This is an array of simple Dictionaries of [String: String]
-
Called when we want to parse the returned format data.
Declaration
Swift
func handleFormats(_ inResponseData: [String : [BMLTiOSLibFormatNode]])
Parameters
inResponseData
The parsed JSON object. This is a Dictionary of an array of format objects, keyed by the
formats
key. -
Called when we want to parse the returned language data.
This method converts all the various data items (not that many) to Strings.
Declaration
Swift
func handleLangs(_ inResponseData: [BMLTiOSLibServerLang])
Parameters
inResponseData
The parsed JSON object. This is an array of Server language objects.
-
Called when we want to parse the returned data from a meeting search.
Declaration
Swift
func handleMeetingSearchResponse(_ inResponseData: [String : AnyObject?])
Parameters
inResponseData
The parsed JSON object. This is an array of meeting objects and/or format objects, keyed by either
meetings
orformats
. -
Called when we want to parse the return from a login attempt.
Declaration
Swift
func handleLoginResponse(_ inResponseData: String)
Parameters
inResponseData
The parsed String response object.
-
Called when we want to parse the returned permission data.
Declaration
Swift
func handlePermissionResponse(_ inResponseData: AnyObject?)
Parameters
inResponseData
The parsed JSON object. This is an array of Permissions tuples.
-
Called when we want to parse the return from a logout attempt.
Declaration
Swift
func handleLogoutResponse()
-
Called when we want to parse the return from a meeting edit save attempt.
Declaration
Swift
func handleMeetingEditSaveResponse(_ inResponseData: [String : AnyObject?])
-
Called when we want to parse the return from a get changes request.
Declaration
Swift
func handleGetChangesResponse(_ inResponseData: [BMLTiOSLibChangeNode], inMeetingNode: BMLTiOSLibMeetingNode?, inDeletedMeetingsOnly: Bool)
Parameters
inResponseData
the change object.
inMeetingNode
If this is provided, then the changes will be sent directly to the meeting node, instead of the handler.
inDeletedMeetingsOnly
If this is true, then only deleted meeting changes will be returned.
-
Called when we want to parse the return from a restore deleted meeting request.
Declaration
Swift
func handleRestoreMeetingResponse(_ inResponseData: [String : AnyObject?])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a get meeting details request after a restore.
Declaration
Swift
func handleRestoreMeetingInfoResponse(_ inResponseData: [String : [BMLTiOSLibEditableMeetingNode]])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a get meeting details request after a rollback.
Declaration
Swift
func handleRollbackMeetingInfoResponse(_ inResponseData: [String : [BMLTiOSLibEditableMeetingNode]])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a meeting deletion.
Declaration
Swift
func handleDeletedMeetingResponse(_ inResponseData: [String : AnyObject?])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a restore deleted meeting request.
Declaration
Swift
func handleRollbackMeetingResponse(_ inResponseData: [String : AnyObject?])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a get changes request.
Declaration
Swift
func handleNewMeetingResponse(_ inResponseData: [String : AnyObject?])
Parameters
inResponseData
The JSON data object.
-
Called when we want to parse the return from a send message to contact operation.
Declaration
Swift
func handleSentMessageResponse(_ inResponseData: AnyObject?)
Parameters
inResponseData
The JSON data object.
-
This will parse the response data as JSON data, and create generic Dictionariy objects, Smart objects or Array objects.
This is the heart of the data interpreter. It will create
smart
objects that will be used in subsequent operations. It will also correct for some inconsistencies in the data response from the server.Declaration
Swift
func parseJSONData(_ inResponseData: Any?, error inError: Error?, refCon inRefCon: Any?) -> AnyObject?
Parameters
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
error
Any errors that occurred
refCon
The data/object passed in via the ‘refCon’ parameter in the initializer.
Return Value
An object, parsed from the data. This is returned as a generic AnyObject optional, but it will actually be an array or dictionary or smart object. It may be an Error object.
-
This parses an uncategorized JSON object. Parsing is recursive, so we dole out parsing to the main handlers.
Declaration
Swift
func parseJSONOtherHandler(_ inResponseData: Any?, error inError: Error?, refCon inRefCon: Any?) -> AnyObject?
Parameters
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
error
Any errors that occurred
refCon
The data/object passed in via the ‘refCon’ parameter in the initializer.
Return Value
An object, parsed from the data. This is returned as a generic AnyObject optional, but it will actually be an array or dictionary or smart object. It may be an Error object.
-
This parses a Dictionary JSON object. Parsing is recursive, so we dole out parsing to the main handlers.
Declaration
Swift
func parseJSONDictionaryHandler(_ inResponseData: Any?, error inError: Error?, refCon inRefCon: Any?) -> AnyObject?
Parameters
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
error
Any errors that occurred
refCon
The data/object passed in via the ‘refCon’ parameter in the initializer.
Return Value
An object, parsed from the data. This is returned as a generic AnyObject optional, but it will actually be an array or dictionary or smart object. It may be an Error object.
-
This parses a section of data that is an NSArray, and returns a new Swift Array (or single object in one instance).
Declaration
Swift
func parseJSONArray(_ inResponseData: NSArray) -> AnyObject?
Parameters
inResponseData
The JSON data object as an NSArray.
Return Value
an AnyObject optional that will usually be a Swift Array. However, it could be a single instance of BMLTiOSLibServerInfo.
-
This parses a number, and turns it into a String.
Declaration
Swift
func parseJSONNumber(_ inResponseData: NSNumber) -> String
Parameters
inResponseData
The JSON data object as an NSNumber.
Return Value
The number as a String.
-
This parses a Dictionary.
In several cases, the Dictionary will represent a
smart
object, and this function will endeavor to return that object.It will call specialized parsers for these objects.
Declaration
Swift
func parseJSONDictionary(_ inResponseData: NSDictionary) -> AnyObject?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This may be a
smart object
that represents the Dictionary. -
This is a specialized parser for meeting/format search results.
Declaration
Swift
func parseMeetingsAndFormatsJSONObject(inResponseData: NSDictionary) -> [String : [AnyObject?]]
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse.
-
This is a specialized parser for meeting search results without accompanying formats.
Declaration
Swift
func parseMeetingsAloneJSONObject(inResponseData: NSDictionary) -> [String : [AnyObject?]]
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse.
-
This is a specialized parser for change responses.
Declaration
Swift
func parseChangeJSONObject(inResponseData: NSDictionary) -> [String : [String : String]]
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse.
-
This is a specialized parser for format responses.
Declaration
Swift
func parseFormatsJSONObject(inResponseData: NSDictionary) -> [String : [AnyObject?]]
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse.
-
This is a specialized parser for
generic
objects.Declaration
Swift
func parseGenericJSONObject(keys: [NSString], inResponseData: NSDictionary) -> [String : Any?]
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse.
-
This parses the JSON Dictionary into a Service body smart object.
Declaration
Swift
func parseJSONServiceBody(_ inResponseData: NSDictionary) -> ServiceBodyRawDataDictionary?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary. -
This parses the JSON Dictionary into a Server language smart object.
Declaration
Swift
func parseJSONServerLang(_ inResponseData: NSDictionary) -> BMLTiOSLibServerLang?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary. -
This parses the JSON Dictionary into a Server Info smart object.
Declaration
Swift
func parseJSONServerInfo(_ inResponseData: NSDictionary) -> BMLTiOSLibServerInfo?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary. -
This parses the JSON Dictionary into a Meeting Change smart object.
Declaration
Swift
func parseJSONChangeObject(_ inResponseData: NSDictionary) -> BMLTiOSLibChangeNode?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary. -
This parses the JSON Dictionary into a Meeting smart object.
Declaration
Swift
func parseJSONMeeting(_ inResponseData: NSDictionary) -> BMLTiOSLibMeetingNode?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary. -
This parses the JSON Dictionary into a format smart object.
Declaration
Swift
func parseJSONFormat(_ inResponseData: NSDictionary) -> BMLTiOSLibFormatNode?
Parameters
inResponseData
The JSON data object as an NSDictionary.
Return Value
The result of the parse. This will be a
smart object
that represents the Dictionary.
-
The response callback. This acts as a dispatcher, calling the appropriate handler.
Declaration
Swift
func responseData(_ inHandler: BMLTCommunicator?, inResponseData: Any, inError: Error?, inRefCon: AnyObject?)
Parameters
inHandler
The handler for this call.
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
inError
Any errors that occurred
inRefCon
The data/object passed in via the ‘refCon’ parameter in the initializer.
-
The response callback (second part to reduce CC). This acts as a dispatcher, calling the appropriate handler.
Declaration
Swift
func handleCallType(_ callType: String, parsedObject: AnyObject?, inResponseData: Any)
Parameters
inHandler
The handler for this call.
parsedObject
The partly-parsed response.
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
-
The response callback (third part to reduce CC). This acts as a dispatcher, calling the appropriate handler.
Declaration
Swift
func handleCallTypePartDeux(_ callType: String, parsedObject: AnyObject?, inResponseData: Any)
Parameters
inHandler
The handler for this call.
parsedObject
The partly-parsed response.
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
-
The response callback (fourth part to reduce CC). This acts as a dispatcher, calling the appropriate handler.
Declaration
Swift
func handleCallTypePartTwee(_ callType: String, parsedObject: AnyObject?, inResponseData: Any)
Parameters
inHandler
The handler for this call.
parsedObject
The partly-parsed response.
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.
-
The response callback (fifth part to reduce CC). This acts as a dispatcher, calling the appropriate handler.
Declaration
Swift
func handleCallTypeLastPartISwear(_ callType: String, parsedObject: AnyObject?, inResponseData: Any)
Parameters
inHandler
The handler for this call.
parsedObject
The partly-parsed response.
inResponseData
The JSON data object. If nil, the call failed to produce. Check the handler’s error data member.


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积分商城
{if condition = "$auth->check('shopro/app/score_shop/add')"}
添加
{/if}
{if condition = "$auth->check('shopro/app/score_shop/recyclebin')"}
回收站
{/if}
{{scope.row.title}}
{{scope.row.score}}积分
+{{scope.row.price}}元
{{scope.row.status_text}}
{{scope.row.status_text}}
{{scope.row.status_text}}
{if condition = "$auth->check('shopro/app/score_shop/edit')"}
编辑
{/if} {if condition = "$auth->check('shopro/app/score_shop/del')"}
删除
{/if}


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---
tags:
- planning
- water
author:
display_name: JP
email<EMAIL_ADDRESS>date: 2011-11-22 14:24:57 -0700
categories: []
WaterRelatedLandUse:
hub:
name: Utah Water Related Land Use
item_id: e3e7fc9316bb4ad09474401ff46e734f
updates:
- SurveyYear
contains currency information
---
{% include abstract.html name="Water Related Land Use"
stewards="DNR"
abstract="Water usage-related polygon map data, published annually by the Utah Division of Water Resources at DNR that
depicts the types and extent of irrigated crops, as well as information concerning phreatophytes, wet/open water areas,
dry land agriculture and residential/industrial areas. The primary business driver for this dataset is for constructing
and analyzing the state's annual water budget." %}
As part of developing and updating the State Water Plan, the Utah Division of Water Resources collects water-related land use data for the entire state. This data includes the types and extent of irrigated crops as well as information concerning phreatophytes, wet/open water areas, dry land agriculture and residential/industrial areas.
The data produced by the water-related land use program are used for various planning purposes. Some of these include: determining cropland water use, evaluating irrigated land losses and conversion to urban uses, planning for new water development, estimating irrigated acreages for any area, and developing water budgets. Additionally, the data are utilized by many other state and federal agencies. Water-related land use can be used to depict Irrigation type (Irrigated, Sub-Irrigated, Non-Irrigated, Riparian, Urban, etc).
See the accompanying FGDC metadata for description of extensive Land Use, Irrigation Type, and Vegetation Cover codes. There are no constraints or warranties with regard to the use of this dataset.
{% include contact.html subject=page.title contact=site.data.contacts.water_related_land_use %}


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@nloko
help
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--- layout: sector title: Electoral slug: electoral permalink: /sector/electoral/ ---
Electoral campaigns have always relied on volunteers to help mobilize huge numbers of voters in a short timeframe. One of the most exciting innovations in recent years is the use of digital platforms to extend the reach of campaign staff.
ControlShift’s Events toolset offers everything an electoral campaign needs to maximize volunteer voter contact. It’s easy to set up template content for different types of events – from phone calling parties to neighborhood walks – and then recruit hosts and attendees. An extensive set of administrative tools gives paid organizers and super volunteers the ability to manage hundreds of events, track contact and coaching of hosts, and ultimately ensure that supporters are turning out and having a great experience.
The Groups feature also lets campaigns support local networks of committed volunteers with an online hub where they can communicate with one another and sponsor events. Paid campaign staff can extend their reach by building leadership and giving these local networks the tools to organize on their own.
Campaigns are designed to make it easy for anyone to create a petition, recruit supporters, and deliver it to the decision maker for maximum impact. Some organizations offer an open petition site, regularly ask their supporters to launch campaigns, and then coach those campaigns to victory. Over time, they rack up hundreds of thousands of campaigns with small wins leading to big shifts in power.


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What activity are you doing today?
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I am currently a full time student at Epicodus and I'm very excited for what I've yet to learn! Please take a look through my web site to see all of the projects that I've created this week. If you'd like to find out a bit more about me I'd reccommend you take a look at header of this page. There you will find my instagram page, my most recent resume, and a link to my email address! Thank you for taking the time to visit my portfolio!


The BrowserWindow
module gives you the ability to create new windows in your app.
There are a lot of options when creating a new window. A few are in this demo, but visit the documentation(opens in new window)
You can set a new browser window to not be shown (be invisible) in order to use that additional renderer process as a kind of new thread in which to run JavaScript in the background of your app. You do this by setting the show
property to false
when defining the new window.
var win = new BrowserWindow({
width: 400, height: 225, show: false
})


Comments
-
Greg Hurrell
I'm just inspecting the current HEAD and looks like building that as a Universal Binary in itself won't be sufficient, as the current HEAD uses Garbage Collection which is Leopard-and-up only.

-
Greg Hurrell
Have added the login tool to the database as a separate product, so will change the product assignment accordingly.
-
Greg Hurrell
Product changed:
- From: Install
- To: Wincent Login Tool
-
Greg Hurrell
The Leopard build is now completely up-to-date.
About to reboot back into Tiger to see if I can do a Jaguar build (the oldest SDK I have on Leopard is the 10.3.9 one).
-
Greg Hurrell
Ok, 1.0 (the Jaguar Universal Binary) is now out.
This will run on PowerPC processors right back to Jaguar and on Intel processors back to Tiger.
It runs on versions of Mac OS X up to Leopard. Will probably work on Snow Leopard too although I can't test that as I don't have access to it.
2.0 is also out. This is an enhanced version that runs only on Leopard and up.
The main difference between the two versions is that the 1.0 series directly manipulates the
~/Preferences/loginwindow.plist
file in order to manage login items. This was never officially supported by Apple. And it's not guaranteed to be reliable. For example, at least on Leopard, you can verify for yourself that the file is correctly modified, but your changes won't necessarily be reflected in the "Accounts" preference pane immediately, even if you close the System Preferences application and re-open it.The 2.0 series, on the other hand, uses new APIs recently added by Apple (new in Leopard, I think) to manage login items. This is the official, supported way to do things, but it only works on Leopard and up (and in any case I've built the 2.0 series using Garbage Collection which is only available on Leopard).
I've also made the Git source code repository open, and the code is available under the BSD license. You can browse the repo here:
Periodically-updated backup mirrors are already in place at GitHub and Gitorous:
There are no official product pages yet, and perhaps there never will be, but pre-built executables have been placed at the following locations:
-
Greg Hurrell
Status changed:
- From: new
- To: closed
Add a comment
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A brief introduction. Main Topics Introduction Platform IDE and Tools Application development walk-through Overall evaluation What is Android ? A software platform and operating system for mobile devices Based on the Linux kernel Developed by Google and later the Open Handset Alliance (OHA) Application development walk-through Unveiling of the Android platform was announced on 5 November 2007 with the founding of OHA Ohh. What The Fragmentation!!! Why develop for Android ? Open Source 500+ million Android devices 1.3m daily activations Powerful for developers Huge community support Largest mobile market share Growth of Android Apps Android Architecture Android Emulator Basic components of Android application Activity Service Content Providers Broadcast Receivers Other entities in Android application Intents Android Manifest Programming Languages supported Java - SDK - recommended C/C++ - NDK - not recommended Development tools and IDE Java Runtime Android SDK Eclipse IDE(optional) Android Development Tools (ADT) plug in Summary Powerful and well-designed development platform Marketleader for Smartphones Power to the developer Resources developer.android.com developer.android.com/design Presentation: jaydeepw.github.com/tech-talks/ Code Samples: github.com/jaydeepw/tech-talks Questions ?
A brief introduction. Main Topics Introduction Platform IDE and Tools Application development walk-through Overall evaluation What is Android ? A software platform and operating system for mobile devices Based on the Linux kernel Developed by Google and later the Open Handset Alliance (OHA) Application development walk-through Unveiling of the Android platform was announced on 5 November 2007 with the founding of OHA Ohh. What The Fragmentation!!! Why develop for Android ? Open Source 500+ million Android devices 1.3m daily activations Powerful for developers Huge community support Largest mobile market share Growth of Android Apps Android Architecture Android Emulator Basic components of Android application Activity Service Content Providers Broadcast Receivers Other entities in Android application Intents Android Manifest Programming Languages supported Java - SDK - recommended C/C++ - NDK - not recommended Development tools and IDE Java Runtime Android SDK Eclipse IDE(optional) Android Development Tools (ADT) plug in Summary Powerful and well-designed development platform Marketleader for Smartphones Power to the developer Resources developer.android.com developer.android.com/design Presentation: jaydeepw.github.com/tech-talks/ Code Samples: github.com/jaydeepw/tech-talks Questions ?
Main Topics Introduction Platform IDE and Tools Application development walk-through Overall evaluation
What is Android ? A software platform and operating system for mobile devices Based on the Linux kernel Developed by Google and later the Open Handset Alliance (OHA) Application development walk-through Unveiling of the Android platform was announced on 5 November 2007 with the founding of OHA
Why develop for Android ? Open Source 500+ million Android devices 1.3m daily activations Powerful for developers Huge community support
Basic components of Android application Activity Service Content Providers Broadcast Receivers Other entities in Android application Intents Android Manifest
Development tools and IDE Java Runtime Android SDK Eclipse IDE(optional) Android Development Tools (ADT) plug in
Summary Powerful and well-designed development platform Marketleader for Smartphones Power to the developer
Resources developer.android.com developer.android.com/design Presentation: jaydeepw.github.com/tech-talks/ Code Samples: github.com/jaydeepw/tech-talks


PVReturns the present value (PV) of a series of equal payments made at regular intervals (periods), assuming a fixed interestRate per interval.payment - payment amount to be made per period. Type a negative number for money you pay and a positive number for money you receive.interestRate - interest rate per period.periods - number of periods (intervals between payments).PV(500;.05;5) returns 2164.73833531....If you want the return value to return two decimal places, enclose the formula with the correct Round function: Round(Current Formula;2).


Example 1: SVG Visuals with D3
Example 2: Simple Bar Chart showing ticket sales for each conference
Example 3: Simple Line Chart monthly sales for an eventory
Example 4: Simple scatter plot of monthly inventory sales