Report on source containers
Posted on July 15, 2019
(Last modified on May 12, 2025)
| Tom Rake
Report on source updating.
A gitlab rebuild is in response to a branch push.
Report on building prototype
An example prototype of a CLISP build system could be libsigsegv
- Prerequisite to CLISP
- Multi platform - release artifacts are
- Git hosted on savanah
How the build(s) are structured
- There is a build interface
- There are instances of Runner for each artifact target.
- Each runner has a tag - the tag is platform/artifact type.
building CLISP - Dependencies
Posted on July 14, 2019
(Last modified on May 12, 2025)
| Tom Rake
Building CLISP dependencies.
Design a general build process.
- Specify requirements
- build a prototype
- report considerations
- is it suffiencent?
- Yes - move to a release build
- No - Report; modify requirement and iterate
Requirements
building CLISP
Posted on July 12, 2019
(Last modified on May 12, 2025)
| Tom Rake
Building CLISP on gitlab
Attempt to build CLISP on gitlab as a CI project.
CLISP can be built on many platforms. Among them are
- Windows
- MSC
- mingw64 - a Unix
- cygwin - a Unix
- MacOS - I don’t have this.
- Unix
CLISP documentation
For Windows - install.WINDOWS
For UNIX - unix/INSTALL
General Approach for docker build
- Create a base platform with all needed dependecies
- Do the configure and build
- Do the tests.
- Export the build artifacts
The build tools are a large case statement based on the key string, or perhaps there is a key.platform statement which tells the specific build conditions and methods.
[Read More]Tom's explanation of LISP history
Posted on May 28, 2019
(Last modified on May 12, 2025)
| Tom Rake
Church, Turing and von Neuman
Alonzo Church solved the halting problem with the invention of lambda calculus.
Alan Turing solved the equivanent problem by the invention of the Turning machine.
John Von Neuman proposed an electronic computer based on the Universal Turing Machine
to do physics calculation for nuclear fusion evaluation, his model is the basis for
our modern computer systems.
FORTRAN and LISP
The first high level compiled language was FORTRAN. First proposed in 1953 the first compiler was delivered in 1957. In 1958 John McCarthy proposed a language LISP which concerned ideas of Church’s lambda calculus. The first compiler was implmented in 1959, during 1962 the first ocmpiler of LISP written completely in LISP was delivered. This was an incremental compiler which piece by piece compiled itself. This began the tradition of the interactive REPL that is part of today’s LISP system, as a consequence the concept of the IMAGE of a LISP system was also developed.
[Read More]The History of LISP
Posted on May 24, 2019
(Last modified on May 12, 2025)
| Tom Rake
How we got Common LISP Standard
Calculations for atomic weapons and space based delivery systems for the same are the step father the computer industry.
LISP is the second oldest high level programming language, FORTRAN was the first. Both conceieved in the 1950s.
Artificial Intelligence, a term coined by LISP’s father John McCarthy, to pigeon hole the space he was interested in exploring.
LISP was developed in several dialects thought the ’80s, a stanard committee was created to create a common dialect which we call Common LISP.
[Read More]The LISP Problem
Posted on May 22, 2019
(Last modified on May 12, 2025)
| Tom Rake
Use beutiful-jekyll as a github blog to avoid the double scroll in code problems.
Posted on May 5, 2019
(Last modified on May 12, 2025)
| Tom Rake
beautiful-jekyll is a fork of Jekyll-Now
Jekyll-Now was good effort by Barry Clarke and
https://deanattali.com/beautiful-jekyll/ is an improved fork
of Jekyll Now that does not have the Double Scroll box problems. I would recommend starting any new github jekyll blog with Beautiful-Jekyll.
Smoothing data in R
Posted on May 1, 2019
(Last modified on May 12, 2025)
| Tom Rake
Smooth six months twice daily data in R
The data is entered on a LibreOffice spread sheet, and read into R wih
read_ods()
. I adjust the time data like this:
data$Time <- as.POSIXct(strptime(data$Time , "%m/%d/%y %I:%M %p"))
data$TimeCode <- as.numeric(data$Time)
My goal
I want to average all items, within a averaging time window of a given size, for the entire data set,
the window starts at the first day of the data set and is advanced a single day until
the window is beyond the last day of the data set.
[Read More]Smoothing Date formats
Posted on May 1, 2019
(Last modified on May 12, 2025)
| Tom Rake
Whats in a day?
86400 Seconds
When do seconds start counting?
January 1, 1970 00:00:00 GMT is the zero second.
That is on 2019-05-01 08:39:00 there have been 1541598420 seconds since Jan 1, 1970
R dates are the number of days since January 1, 1970
This means the numeric date time is date-number*86400
The earliest time-code is min(data$TimeCode)
and the last time-code in max(data$TimeCode). The begining data-time-window time-code is 86400*as.numeric(min(data$Date))
the ending date-time-window time-code is the beginning plus the window size in seconds.
[Read More]A Hello World from the github blog.
Posted on April 29, 2019
(Last modified on May 12, 2025)
| Tom Rake
This is the Hello World from github.io. I prefer this over WIX