DTMF-Decoder
A report on a project to design and implement a DTMF Decoder
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Contents
DTMF-Decoder API Specifications. 15
DTMF stands for Dual Tone Multi Frequency. This is an in-band telecommunication signalling system using voice-frequency band over telephone lines between
telephone equipment and other communications devices and switching centres. DTMF was first developed in the Bell System in the USA, and became known under
the trademark Touch-Tone for use in the pushbutton telephones supplied to telephone customers, starting in 1963.[1] DTMF replaced the clockwork dial made
of moving parts which was getting more and more impractical to use as the number of telephone users increased exponentially.
DTMF is used to represent up to 16 keys (most telephones only use 12 of these). Each key is represented by two different frequencies. The first bin (lower frequencies) consist of frequencies under 1kHz and the second bin (Upper bin) consists of frequencies above 1.2kHz. The combination of the two tones will be distinctive and different from tones of other keys and these tones cannot be mimicked by voice or random signals [2]. The DTMF Frequencies are shown in the figure below:
Illustration 1: Picture showing the DTMF Frequencies used to represent each key.
DTMF detection is used to detect DTMF signals in the presence of speech and dialling tones pulses. Other applications of DTMF include, but not limited to, computer applications such as voice and electronic mail, call forwarding [3], controlling robots, automated locking and unlocking systems, displaying dialled numbers on a screen and sharing information consisting of numbers across various network systems. [2]
The intent of this project is to design a DTMF Decoder and implement it in Java. I decided to choose this project because it dives into important concepts in both "sides" of my degree, that is Signal Processing and Software Design.
Although I did an introductory course to Signals and Systems in first semester of my second year, there was still a lot of concepts I had not grasped yet. Most of the knowledge needed to tackle this project was only going to be covered in my third year courses therefore after a long talk with my mentor who shed some much needed light on the project, I spent the whole first week researching on signal processing techniques by reading articles [4] and lectures on MIT OpenCourseWare [5]. All these helped build my understanding of signal processing and detection.
This is a DFT algorithm(s) which can compute the DFT of a sequence in less computations for the same number of sample points. Cooley and Turkey and usually credited for inventing the algorithm in 1965 although the development of fast algorithms of FFTs can be traced back to Gauss's unpublished work in 1805. [8]
A possible path to take could be using the FFT to get the whole frequency spectrum. This is definitely a cumbersome computation but it will allow me to detect other frequencies in the signal and decide where certain signals should be rejected or not.
After looking at previous similar projects, most of which were implemented in Assembly and C for micro-controller projects, I noticed most of them used the Goertzel Algorithm to detect the DTMF frequencies. I decided to do more research on reasons why and it turns out it is a much faster method for computing DFTs (Direct Fourier Transform) for specific frequencies.
Created by Gerald Goertzel in 1958, the Goertzel Algorithm is a Digital Signal Processing technique that is used to efficiently compute individual terms of a DFT. It returns the real and imaginary frequency components that a regular DFT or Fast Fourier Transform (FFT) would.
Like the DFT, the Goertzel algorithm analyses one selectable frequency component from a discrete signal. [6][7] Unlike direct DFT calculations, the Goertzel algorithm applies a single real-valued coefficient at each iteration, using real-valued arithmetic for real-valued input sequences. For covering a full spectrum, the Goertzel algorithm has a higher order of complexity than (FFT) algorithms; but for computing a small number of selected frequency components, it is more numerically efficient.
The Goertzel Algorithm may be used to directly obtain DFT data about the 8 DTMF frequencies and compare their magnitudes to determine which tone is being represented.
After the research I was advised to start by prototyping the solution in MatLab before implementing it in Java. MatLab is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. [9] Because I was new to signal processing, it was important for me to use a tool like MatLab to visualise the data and focus on developing the algorithms instead of spending a lot of time trying to code functions which I had easy access to in MatLab.
The first step was to generate test data that I would use to test the decoder. My mentor gave me a guideline of how a good DTMF decoder should perform and told me to look up ITU-T recommendations on DTMF tones. The decoder had to meet the ITU Recommendation as stated in ITU-I Recommendation Q.23 [10] and ITU-I Recommendation Q.24 [11]. Each administration has its own specifications but most of them overlap each other. A summary of the recommendations is shown below (taken from ITU-T Q.24 [11]):
Signal Frequencies:
Frequency Tolerances:
· Max. accepted frequency offset: <=1.5% to 1.8% (depending on Administration)
· Min. rejected frequency offset: >= 3.5% to 7.5% (depending on Administration)
Power Levels per Frequency:
· Maximum twist (Power difference between the two frequencies): 5 to 10 dBm (depends on Administration)
Signal Timing:
· Min. pause (silence between tones): 30ms to 70ms (depending on Administration)
I had to generate Test Data to test all the conditions above. My Test Data was generated as follows:
· The sequence of tones will be randomly determined (choosing from the 16 available DTMF characters) and the length of the sequence will also vary randomly from 5 to 50 tones per file.
· The duration of each DTMF tone will be varied randomly between 40ms and 100ms.
· The duration of the pause between DTMF tones will be randomly varied between 30ms and 100ms.
· To vary the power of the signal between 0dBm and -27dBm, the amplitude of the signal will be varied from 0.045 (-27dBm) to 1.0 (0dBm).
Random duration of pauses and tones will ensure that the frames used in the decoding process do not have the same alignment.
This was done in MatLab. I decided to use the Goertzel's Algorithm approach because of its performance advantages over the FFT. After some brain storming with my mentor, I came up with the following outline of the decoder:
· The array of samples will be split into short frames (each frame will be a short period of about 40ms but this duration will be optimized later). Because the Goertzel Algorithm's performance did not depend on a specific bin size (as with the FFT where the bin size has to be a power of 2), I could vary the bin size to make the decoder more accurate. The frames overlap each other by 50% which means more frames are processed, hence decreasing performance, but this will make sure the frames cover the shortest tones properly. The longer these frames were, the better the resolution will be in the frequency spectrum but the poorer it would be in the time domain. An example of how the samples will be divided is shown below.
Illustration 2: An example of how the samples may be split to create frames which can be processed separately.
· The frames will each be transformed using the Goertzel Algorithm to obtain the magnitudes of the 8 DTMF frequencies in the frame. One of the ITU-T recommendations is that the frequencies can have an offset of up to 1.5%. This offset could be accounted for by using 3 or 4 frequencies for each DTMF frequency when transforming the frames and then summing up these 2 or 3 magnitudes. So instead of passing 8 frequencies into the Goertzel Algorithm, I used about 25 different frequencies. The two illustrations below show how the plots of the magnitudes from a frame in the "tone" region and in the "pause" region:
Illustration 3: Plot of the DFT Magnitudes of the 8 DTMF frequencies for a frame in the "tone" region. This particular tone represents a "1".
Illustration 4: Plot of the DFT Magnitudes of the 8 DTMF frequencies for a frame in the "pause" region.
· After transforming the frames, I used the DFT data to distinguish between frames in the "tone" region and frames in the "pause" region. From the pictures above, it can be seen that the average of the magnitudes for the "tone" region are much larger than those in the "pause" region. To distinguish the "pause" frames from the "tone" ones, I decided that the "silent" frames will be those with a mean DFT magnitude less than 70% of the average of the top 3 frames. An illustration of this is shown below:
Illustration 5: Plot of the DFT Magnitudes of the 8 DTMF frequencies for a frame in the "pause" region.
· After filtering out the frames with the tones, I pass the data into a function which will determine the character represented by the frame by looking at the frequencies present in the frame.
After implementing this algorithm in MatLab I ran the decoder on test data and after tweaks and changed, the decoder had a success rate of 98% on 40,000 test files. A success is recorded when the whole sequence has been successfully and accurately decoded. The changes I made include having the frames overlap by 33 % instead of 50% and increasing the frame size to 46ms. This increased my frequency resolution and because there were more frames now, the time domain resolution was not affected much.
Implementing the MatLab code in java was a challenge because Java does not have libraries with most of the functions I used in MatLab. After some research I found a webpage that gave a good explanation of the Goertzel Algorithm and used this to implement my own Goertzel Class in Java.
Just like the FFT, the algorithm works with blocks of sample points. For each frequency to be calculated, the following are needed:
The usual Nyquist Rules apply which means that Fs will have to be at least twice that of the highest frequency in question. The frequency of interest has to be an integer factor of the sampling frequency.
N has the same properties as that of the block size in a regular FFT. N controls the frequency resolution in the frequency spectrum of the signal which is given as Fs/N. N can be chosen such that the frequency resolution covers enough of the DTMF frequencies within their tolerances but it must also be small enough to cover the minimum tone duration. One of the biggest advantages of the Goertzel Algorithm is that unlike the FFT, N does not have to be a power of 2 for it to work efficiently.
The following is the pseudocode I used
Samples defined here
target = target frequency
Fs = sampling frequency
N = number of samples
k = (int)(0.5*N*target*1/Fs)
ω = 2 * π * k / N;
c = cos(ω);
coeff = 2 * c;
Q0 = Q1 = Q2 = 0;
for each
sample s in samples:
Q0 = coeff * Q1 - Q2 + s
Q2 = Q1
Q1 = Q0
end
magnitude2 = Q12 + Q22-Q1*Q2*coeff
After some consultation with my Mentor Albert, I realised that my algorithm was slow and used up a lot of RAM because I was loading the whole .wav file before decoding. This would be a problem when decoding thousands of files in parallel. The PC would quickly run out of memory. To combat this I had to use an input stream and process the wav files frame-by-frame instead of loading the whole file. This proved to be much faster and also more efficient in terms of resource usage.
The basic outline of the algorithm is as follows:
· Open an input stream for the audio file
· determine the frame size for the Goertzel transform
· Read a frame and check if the signal's power is not too low (not lower than the -27dBm as per ITU-T recommendations.) If the power is too low, the frame will be rejected and treated as a pause.
· The frame is transformed using Goertzel function to return the powers of the 8 DTMF Frequencies.
· To check for noise, the ratio of the sum of the two highest peaks from the lower and upper frequency bin to the sum of all the 8 frequencies is compared to a predetermined value. If the ratio is too low then the frame is noisy thus rejected and treated as a pause.
· The two DTMF peaks from each bin are then used to identify the character.
· The character for this frame is stored for later usage. If the same character appears 2 or more times consecutively then this will be recorded as a hit.
The number of consecutive characters to flag a hit depends on the minimum tone duration being used in the decoding process. If we use the ITU-T recommendation of 40ms, there must be at least 2 consecutive characters, is 60ms is used, there must be 3, if 80ms is used, there must be 4, and so forth.
The decoder performed very well using the Goertzel function. It reported the same results as the MatLab code. That is, a success rate of 98% and a hit rate
of 99.7% for 40,000 test files.
MatLab has a function called "Add White Gaussian Noise" y = awgn(x,snr) which allows the user to add white Gaussian noise to a signal, x, to produce another signal, y, with a SNR given specified by the user in decibels. I used this function to noise to the existing test data to produce test data with SNR ranging from 0db to 30db.
The noise performance of the Goertzel DTMF decoder was impressive. The test results show that the decoder can handle signals with a SNR of XXDB perfectly well. A plot of the success rate vs SNR is shown below:
Illustration 6: Plot of the success rates of the Goertzel DTMF Decoder vs SNR.
The decoder was run on random audio recordings with human speech and the performance was very poor, with the duration of these recordings varying from 10s to 60s. Out of the 15,000 files that were tested, it reported that DTMF tones were found in 68% of the files but in fact very few of the files had any DTMF tones in them (less than 3%). This poor performance could easily be attributed to background music and the speech itself within the recordings. I tweaked the parameters as much as possible but there was no improvement at all and this is when my mentor advised me to try out the FFT approach instead of Goertzel one. By using the FFT approach, I will have access to the complete frequency spectrum of the signal allow me to detect other frequency peaks caused by speech and music that would not appear within the DTMF frequency bins. I also realized that the longer my "minimum tone duration" is, the better the filtering out of the audio files it. The disadvantage of this is that the decoder does not follow ITU-T recommendations anymore and thus might actually miss some DTMF tones shorter than the extended durations.
I modified the code to use the FFT instead of the Goertzel's Algorithm. The only difference in the algorithm is when checking for noise. Instead of calculating the detection ratio over just 8 frequencies, the detection ratio will be now calculated using all points in the power spectrum of the signal. This will make sure that other peaks that aren't DTMF will be filtered out. I ran the decoder again on the same audio recordings and plotted the percentage of files found to have DTMF tones vs the minimum tone duration used to decode the files:
Illustration 7: Plot showing the number of files found to have DTMF vs the minimum tone duration used
I ran noise tests on the decoder with the new FFT implementation and the performance was almost the same with the Goertzel implementation although the FFT method seems to have a better hit-rate at lower SNR. The plots to compare the two are shown below:
Illustration 8: Plot of the Success rate vs SNR
Illustration 9: Plot of the Success rate vs SNR
During the project I had expected the Goertzel's Algorithm approach to be much faster than the FFT approach based on the fact that despite Goertzel's Algorithm having a higher complexity, it should still have been faster for a handle number of frequencies compared to the FFT approach. I ran some tests to test this hypothesis and got interesting, unexpected results. I ran the decoder on sets of data ranging from 10,000 files to 100,000 files and timed the time it took for both types of decoders to decode the files. I plotted the time taken vs the number of files:
Illustration 9: Plot of the time taken to decode the files vs number of files decoded
From the plot it can be deduced that my previous assumption was incorrect. In fact, the FFT approach proved to be much faster than the Goertzel's Algorithm. A simple explanation of this is that although, theoretically, the Goertzel's algorithm should have been faster than the FFT, the function I used (from Apache Commons Math library) to perform the FFTs was fully optimized but the Goertzel's Class I created had no optimization at all hence it performed badly vs the FFT.
I had only 6 weeks to design, implement and test this DTMF decoder. The main goal was reached but there is still more work to do if there was more time. The project, together with all the source code is on github under the MIT License. I created a Java API for the DTMF-Decoder and it has the following specifications:
· DTMF Decoder for .wav and .mp3 files or when given an array of sample points.
· Has an audio file interface which can be implemented for more audio file types (ogg, wma, etc...)
· DTMF Tone/Sequence Generator that can export to .wav files.
· Goertzel Class which can be used independently with arrays of sample points representing a signal.
· The API includes a GUI App which is a DTMF Decoder/Generator.
· Optimising the Goertzel Class to improve on speed and performance.
· Coming up with a more efficient way to detect noise and human speech to improve rejection and minimise false hits when decoding random noise files.
· Decoder could give location of detected tones within the audio file.
1) Dodd, A. (2002). The essential guide to telecommunications. Upper Saddle River, NJ: Prentice Hall PTR.2) (picture) http://www.engineersgarage.com/tutorials/dtmf-dual-tone-multiple-frequency
3) G. L. Smith, Dual-Tone Multi-frequency Receiver Using the WE DSP16 Digital Signal Processor, AT&T Application Note.
4) 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP 2010) p1-5
5) Alan Oppenheim. 6.341 Discrete-Time Signal Processing, Fall 2005. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 26 Jan, 2016). License: Creative Commons BY-NC-SA
6) Mock, P. (March 21, 1985), "Add DTMF Generation and Decoding to DSP-μP Designs" (PDF), EDN, ISSN 0012-7515 ; also found in DSP Applications with the TMS320 Family, Vol. 1, Texas Instruments, 1989.
7) Chen, Chiouguey J. (June 1996), Modified Goertzel Algorithm in DTMF Detection Using the TMS320C80 DSP (PDF), Application Report, SPRA066, Texas Instruments
8) Heideman, Michael T.; Johnson, Don H.; Burrus, C. Sidney (1985-09-01). "Gauss and the history of the fast Fourier transform" . Archive for History of Exact Sciences 34 (3): 265-277. doi : 10.1007/BF00348431 . ISSN 0003-9519 .
9) Cimss.ssec.wisc.edu, (2016). What is Matlab. [online] Available at: http://cimss.ssec.wisc.edu/wxwise/class/aos340/spr00/whatismatlab.htm [Accessed 4 Dec. 2015].
10) ITU-T Recommendation Q.23 - Technical Features of Push-Button Telephone Sets. (1988). 1st ed. [ebook] INTERNATIONAL TELECOMMUNICATION UNION. Available at: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-Q.23-198811-I!!PDF-E&type=items [Accessed 9 Dec. 2015].
11) ITU-T Recommendations Q.24 - Multifrequency Push-Button Reception. (1988). 1st ed. [ebook] INTERNATIONAL TELECOMMUNICATION UNION. Available at: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-Q.24-198811-I!!PDF-E&type=items [Accessed 7 Dec. 2015].


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--- layout: post status: publish published: true title: Duplicate Column Name When Deploying BAM Definition author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 87 wordpress_url: http://winterdom.com/2008/05/duplicatecolumnnamewhendeployingbamdefinition date: '2008-05-27 09:54:47 +0000' date_gmt: '2008-05-27 09:54:47 +0000' categories: - BizTalk tags: [] comments: [] ---
I've been playing around a bit with Business Activity Monitoring in BizTalk Server 2006 R2 and ran into a problem deploying a BAM definition XML file I had just created in Excel.
When I tried to deploy the definition, I'd get an error similar to this one:
Deploying Activity... Done.
Deploying View... ERROR: The BAM deployment failed.
Encountered error while executing command on SQL Server "NEWTON".
Column names in each table must be unique. Column name 'abc_id' in table 'bam_AbcEvents_Dim_abc' is specified more than once.
I checked my BAM definition several files (even checking IDs on the raw XML) and couldn't find any duplicates of this field. However, after struggling for about 15 minutes with it, I nailed it down: The problem was how I named a dimension!
I had an item defined in my activity named 'abc_id'. When I created my view, I created a custom dimension that combined 'abc_id' with another item and named it 'abc'. That seemed like a proper way to name it.
Problem is, when you try to deploy this, the activity tables will be created correctly, but bomb when creating the dimension table for 'abc', because bm.exe will try to create an artificial identity column for the dimension called 'abc_id'. That's how you end up with an apparent duplicate column error!~
The solution: rename your dimension in your view definition.


Music
Done
close
Clear
close
Clear
Name
Song Artist
Song Album
00:00
00:00
ArtistS
(
)
AlbumS
(
)
TrackS
(
)
Cancel


{# NOTE: previously highlights were available on individual result; not available for now, so pulling from full solr result object #}
{# {% with snippets=page.solr_highlights.page_text %} #}
{% if pages.object_list.highlighting %}
{% with snippets=pages.object_list.highlighting|dict_item:page.pid %}
{% for snip in snippets.page_text %}


{% import "_includes/forms" as forms %}
{{ forms.textField({
label: 'Default tab title'|t,
instructions: 'This will be a the title of the tab created for every new section.
You can use twig in this field and have access to the section object (eg: {section.name} or {section.handle})'|t,
id: 'tabTitle',
name: 'tabTitle',
value: settings['tabTitle'],
errors: settings.getErrors('tabTitle')
}) }}
{{ forms.lightswitchField({
label: 'Should every section have a title field?'|t,
instructions: 'Only applied to Single sections (channels and structures have titles by default)'|t,
id: 'hasTitleField',
name: 'hasTitleField',
value: "1",
errors: settings.getErrors('hasTitleField'),
on: (settings['hasTitleField'] is defined) ? settings['hasTitleField'] : "",
}) }}
{% if fieldGroups|length %}
You can also assign one of more field groups to section by default (note that these will be add on all sections).


Generate Random Password
Password Length
Include Uppercase Chars?
Include Lowercase Chars?
Include Numbers?
Include Symbols?
Generate Password


Hilbert function leads to Hilbert polynomial leading to a way to compute dimension and degree of a variety.
* Hilbert function and Hilbert polynomial
* Invariants: dimension and degree
In a ring
R = QQ[x,y,z];
with the default (graded reverse lexicographic) order take the following ideal
sph = x^2+y^2+z^2-1;
I = ideal {sph*(x-1), sph*(y-2)}
The Hilbert function HR/I(d) is defined as the vector-space dimension of Rd/Id where Rd are polynomials of degree at most d and Id = I ∩Rd. To get a value of the Hilbert function one can count standard monomials:
B = basis(0,3,R/I)
numcols B
In this example HR/I(3) = 20.
The built-in function computes another variant of the function, the projective Hilbert function: the only dirrence is that instead of at most degree d exactly degree d polynomials are considered.
hilbertFunction(3,R/I)
There is an obvious relationship between the two, for instance,
18 == sum({0,1,2,3}, d->hilbertFunction(d,R/I))
Note that the Hilbert function for the initial ideal is the same. In fact, one way to compute the function is via monomial cone decomposition of the set of standard monomials: there is a function producing the standard pairs for a given monomial ideal describing such a decomposition.
inI = monomialIdeal I -- initial ideal of I
standardPairs inI
For instance {{x, {y, z}} stands for the 2-dinesional cone of multiples of x by monomials in y and z, while {x3 y3 ,{}} is a 0-dimensional cone, i.e., a single monomial.
The following function uses the monomial cone decomposition to compute the Hilbert polynomial
HP = I -> (
S := QQ[symbol s]; s := S_0;
sum(standardPairs monomialIdeal I, mx ->(
(m,x) := toSequence mx; t := sum degree m;
product(#x,i->s-t+1+i)/(#x)! -- s-t+#x choose s-t
))
)
HP I
The Hilbert polynomial agrees with the Hilbert function for d large enough, for instance,
sub(HP I,matrix{{3}})
coincides with the previously computed value, however
sub(HP I,matrix{{0}})
is clearly not the value of the Hilbert function.
The dimension of the variety V(I) equals the degree of the Hilbert polynomial
sph = x^2+y^2+z^2-1; I = ideal {sph*(x-1), sph*(y-2)}
h = HP I
d = first degree h
dim I
while the leading coefficient determines the degree of the variety
deg = d! * leadCoefficient h
deg == degree I
Alternatively, the degree is the number of points of intersection of the variety and a general affine plane of codimension d.
The Hilbert polynomial, however, is a stronger invariant than dimension and degree and the Hilbert function is even stronger.
Consider two point and a line not passing through them.
R = QQ[x,y,z]
A = ideal(x-1,y,z) -- (1,0,0)
B = ideal(x,y-1,z) -- (0,1,0)
line = ideal(x+y+z-3,x-2*y+3*z-5)
While the dimension and degree of the varieties given by
Aline = intersect(A,line); dim Aline, degree Aline
ABline = intersect(A,B,line); dim ABline, degree ABline
are the same, the Hilbert polynomials are not:
HP Aline
HP ABline
Now consider another couple of points:
C = ideal(x-1/2,y-1/2,z) -- (1/2,1/2,0)
is on the line AB and
D = ideal apply(3,i->random(1,R)+random(0,R))
is a random point that is likely not on that line.
The Hilbert polynomials are, expectedly, the same,
ABC = intersect(A,B,C);ABD = intersect(A,B,D);
HP ABC == HP ABD
but the Hilbert function distinguishes the triple of colinear points from the triple in general position:
hilbertFunction(1,ABC) != hilbertFunction(1,ABD)


The Forest Research Institute (FRI) is an institute of the Indian Council of Forestry Research and Education and is a premier institution in the field of forestry research in India. It is located at Dehradun in Uttarakhand, and is one of the oldest institutions of its kind. In 1991, it was declared a deemed university by the University Grants Commission.
The Forest Research Institute campus hosts the Indira Gandhi National Forest Academy (IGNFA), the staff college that trains officers selected for the Indian Forest Service (IFS).
It was founded in 1878 as the British Imperial Forest School by Dietrich Brandis. In 1906, it was reestablished as the Imperial Forest Research Institute, under the British Imperial Forestry Service. The Indian Forest College was established in 1938; officers recruited to the Superior Forest Service by the states and provinces were trained here.


Title
Profile
Donald J. Trump
@realDonaldTrump
Item List
Donald J. Trump
Boeing is building a brand new 747 Air Force
Setting List
setting
tips
Flex Search && Form Input
search
UserName
Form
male
female
option1
option2


Fortune Teller
Which of the following "lucky" events have you experienced recently?
Please check all that apply.
Found a four-leaf clover.
Found a penny on the ground.
Carried a rabbit's foot.
Got pooped on by a bird.
Saw a shooting star.
Which of the following "unlucky" events have you experienced/happened recently?
Please check all that apply.
Crossed paths with a black cat.
Broke a mirror.
Opened an umbrella indoors.
Walked under a ladder.
Failed to pass along a chain letter or text.
Submit


{% extends "base.html" %}
{% block content %}
Here are a list of stores that you can browse. When you're ready, go to alerts and add an item via a URL If you are logged in as admin, you can add and delete stores. However in order to add stores, you must be savvy with the element inspector.List of Stores
For URLs starting with: {{ store.url_prefix }}
{% if session['email'] == config.ADMIN %} Edit Delete {% endif %}


Michael duPont
Turing Home
Networking Projects
Custom Projects
Other Files
Custom Projects
RPS Game
Play a game of rock, paper, scissors using my JavaScript


test
SELECTIONS
DOCUMENTS -- some animations here
MARGINS
COLUMNS
SCATTER
LINE
AREA
ANIMATION Patterns


?NEW.YORKBOTANICAL
garden
01028979
Yo^>
BOTANICAL
GARDE**
Y>IKASúD
SAPOTACEAE
Chrysophyllum
p2x>^ClcM^U*A
6-atu.,
Tree
8
m
tall;
bark
deeply
fissured.^'
Puerto
Rico:
SW
of
Cayay,
in
gut
west
of
Rt.
713.
Elev.
10
m.
Francesca
T.
Grifo
63
and
John
M.
Matuszak
14
July
1985
L.H.
Bailey
Hortorium,
Cornell
University
01028979
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


- factorial(int) - Static method in class edu.biu.scapi.tools.math.MathAlgorithms
-
Computes n! (n factorial)
- factorialBI(int) - Static method in class edu.biu.scapi.tools.math.MathAlgorithms
-
Computes n! (n factorial)
- FactoriesException - Exception in edu.biu.scapi.exceptions
-
- FactoriesException(Exception) - Constructor for exception edu.biu.scapi.exceptions.FactoriesException
-
- FastCircuitCreationValues - Class in edu.biu.scapi.circuits.fastGarbledCircuit
-
A class that hold the values used to create the circuit.
- FastCircuitCreationValues(byte[], byte[], byte[]) - Constructor for class edu.biu.scapi.circuits.fastGarbledCircuit.FastCircuitCreationValues
-
Sets the given arguments.
- FasterTCPChannel - Class in edu.biu.scapi.comm
-
- FasterTCPChannel(Party, Socket) - Constructor for class edu.biu.scapi.comm.FasterTCPChannel
-
Creates a channel given a Party and an established socket
Allows us to bypass scapi's communication establishment and replace the channel type.
- FasterTCPChannel.FasterMessage - Class in edu.biu.scapi.comm
-
- FasterTCPChannel.FasterMessage(byte[]) - Constructor for class edu.biu.scapi.comm.FasterTCPChannel.FasterMessage
-
- FastGarbledBooleanCircuit - Interface in edu.biu.scapi.circuits.fastGarbledCircuit
-
FastGarbledBooleanCircuit
is a general interface for all basic garbled circuits.
- FastGarbledBooleanCircuitExtended - Interface in edu.biu.scapi.circuits.fastGarbledCircuit
-
This interface is an extension for the basic fast garbled boolean circuit, FastGarbledBooleanCircuit.
- FastGarbledBooleanCircuitExtendedImp - Class in edu.biu.scapi.circuits.fastGarbledCircuit
-
This class is an implementation of the fast extended garbled boolean circuit.
- FastGarbledBooleanCircuitExtendedImp(FastGarbledBooleanCircuit, MultiKeyEncryptionScheme) - Constructor for class edu.biu.scapi.circuits.fastGarbledCircuit.FastGarbledBooleanCircuitExtendedImp
-
This constructor should be used in case the garbling is done using a MultiKeyEncryptionScheme.
- FastGarbledBooleanCircuitExtendedImp(FastGarbledBooleanCircuit, MultiKeyEncryptionScheme, PseudorandomGenerator) - Constructor for class edu.biu.scapi.circuits.fastGarbledCircuit.FastGarbledBooleanCircuitExtendedImp
-
This constructor should be used in case the garbling is done using a PRG and seed.
- FastIdentityGate - Class in edu.biu.scapi.circuits.fastGarbledCircuit
-
- finalize() - Method in class edu.biu.scapi.interactiveMidProtocols.ot.otBatch.otExtension.OTExtensionMaliciousReceiver
-
Deletes the native OT object, ideally the resources were already released explicitly.
- finalize() - Method in class edu.biu.scapi.interactiveMidProtocols.ot.otBatch.otExtension.OTExtensionMaliciousSender
-
Deletes the native OT object, ideally the resources were already released explicitly.
- finalize() - Method in class edu.biu.scapi.interactiveMidProtocols.ot.otBatch.otExtension.OTSemiHonestExtensionReceiver
-
Deletes the native OT object.
- finalize() - Method in class edu.biu.scapi.interactiveMidProtocols.ot.otBatch.otExtension.OTSemiHonestExtensionSender
-
Deletes the native OT object.
- finalize() - Method in class edu.biu.scapi.primitives.dlog.miracl.MiraclAdapterDlogEC
-
deletes the related Dlog group object
- findPointRepresentedByByteArray(ECFpGroupParams, byte[], int) - Method in class edu.biu.scapi.primitives.dlog.ECFpUtility
-
This function receives any string of size up to k bytes (as returned by CalcK), finds the coordinates of the point that is the encoding of this binary string.
- findYInCurveEquationForX(ECFpGroupParams, BigInteger) - Method in class edu.biu.scapi.primitives.dlog.ECFpUtility
-
This function finds the y coordinate of a point in the curve for a given x, if it exists.
- FreeXORGarblingParameters - Class in edu.biu.scapi.circuits.garbledCircuit
-
This is the garbling parameters' class for a Free XOR circuit.
- FreeXORGarblingParameters(BooleanCircuit, MultiKeyEncryptionScheme, boolean) - Constructor for class edu.biu.scapi.circuits.garbledCircuit.FreeXORGarblingParameters
-
This constructor creates a garbling parameters' object for a regular representation of FreeXORGarbledBooleanCircuit.
- fromByteArray(byte[]) - Static method in class edu.biu.protocols.yao.primitives.CircuitInput
-
Alternative constructor.
- fromFile(String, BooleanCircuit, int) - Static method in class edu.biu.protocols.yao.primitives.CircuitInput
-
Alternative constructor.
- fromSecretKey(SecretKey) - Static method in class edu.biu.protocols.yao.primitives.CircuitInput
-
Alternative constructor.
- FullyTrapdoorCmt - Interface in edu.biu.scapi.securityLevel
-


|
NSVD Reader
0.0.1
|
replacing s process support More...
#include <dim_helper.hpp>
Public Member Functions | |
| template<typename NODE > | |
| dim_name_helper (const NODE &n, const STR *string) | |
| operator bool () const noexcept | |
| is_array () const noexcept | |
| is_seq () const noexcept | |
| std::string | operator() (size_t index) const |
Public Attributes | |
| const STR * | str |
| const dimIndex * | dimIndex |
| dim_type | type |
| size_t | first_end |
| size_t | second_begin |
replacing s process support
Definition at line 28 of file dim_helper.hpp.
|
inline |
Definition at line 37 of file dim_helper.hpp.
|
inlinenoexcept |
Definition at line 89 of file dim_helper.hpp.
|
inlinenoexcept |
Definition at line 90 of file dim_helper.hpp.
|
inlinenoexcept |
Definition at line 88 of file dim_helper.hpp.
|
inline |
Definition at line 92 of file dim_helper.hpp.
| const dimIndex* nodamushi::svd::normalized::dim_name_helper< STR >::dimIndex |
Definition at line 31 of file dim_helper.hpp.
| size_t nodamushi::svd::normalized::dim_name_helper< STR >::first_end |
Definition at line 33 of file dim_helper.hpp.
| size_t nodamushi::svd::normalized::dim_name_helper< STR >::second_begin |
Definition at line 34 of file dim_helper.hpp.
| const STR* nodamushi::svd::normalized::dim_name_helper< STR >::str |
Definition at line 30 of file dim_helper.hpp.
| dim_type nodamushi::svd::normalized::dim_name_helper< STR >::type |
Definition at line 32 of file dim_helper.hpp.


Case study to identify product designs and requirements.
Decreasing cognitive load and promoting better medication intake amongst people with chronic diseases and illnesses.
Developing fast and flexible ways for users to access music in an instant.
Detecting and regulating electromagnetic field of the body to maintain balanced energy and promote overall better health.


Before Change
sub_layer_class = sub_layer.__class__
else:
sub_layer = None
sub_layer_class, sub_layer_kwargs = cls._create_template(name=name, network=network, **kwargs)
sub_layer_kwargs["output"] = output
for loss in sub_layer_class.get_losses(reduce_func=reduce_func, layer=sub_layer, **sub_layer_kwargs):
assert isinstance(loss, LossHolder)
losses.append(loss.copy_new_base(network=network, name="%s/%s" % (name, loss.name)))
After Change
sub_layer_class = sub_layer.__class__
else:
sub_layer = None
sub_layer_class, sub_layer_kwargs = kwargs["_layer_class"], kwargs["_layer_desc"]
assert issubclass(sub_layer_class, LayerBase) and isinstance(sub_layer_kwargs, dict)
sub_layer_kwargs["output"] = output
for loss in sub_layer_class.get_losses(reduce_func=reduce_func, layer=sub_layer, **sub_layer_kwargs):
assert isinstance(loss, LossHolder)


Hierarch Kekropus:
Then prepare to leave.
Fate cannot be bargained with or avoided, only faced with courage and conviction.
Go to the land in the north, Rune, to meet your fate.
The Wizard in the Forest of the Dead
will tell you more.


| decode_colour {farver} | R Documentation |
This is a version of grDevices::col2rgb()
that returns the colour values in
the standard form expected by farver (matrix with a row per colour). As with
encode_colour()
it can do colour conversion on the fly, meaning that you can
decode a hex string directly into any of the supported colour spaces.
decode_colour(colour, alpha = FALSE, to = "rgb", white = "D65", na_value = NA)
colour |
A character vector of hex-encoded values or a valid colour name
as given in |
alpha |
If |
to |
The output colour space. Allowed values are: |
white |
The white reference of the output colour space. Will only have
an effect for relative colour spaces such as Lab and luv. Any value accepted
by |
na_value |
A valid colour string or |
A numeric matrix with a row for each element in colour
and either
3, 4, or 5 columns depending on the value of alpha
and to
.
NA
, NaN
, -Inf
, and Inf
are treated as invalid input and will result
in NA
values for the colour. If a given colourspace has finite bounds in
some of their channels, the input will be capped before conversion, and the
output will be capped before returning, so that both input and output colours
are valid colours in their respective space. This means that converting back
and forth between two colourspaces may result in a change in the colour if
the gamut of one of the spaces is less than the other.
Other encoding and decoding functions:
encode_colour()
,
manip_channel
# basic use decode_colour(c('#43e1f6', 'steelblue', '#67ce9fe4')) # Return alpha as well (no alpha value is interpreted as 1) decode_colour(c('#43e1f6', 'steelblue', '#67ce9fe4'), alpha = TRUE) # Decode directly into specific colour space decode_colour(c('#43e1f6', 'steelblue', '#67ce9fe4'), to = 'lch')


Create the SQL to deploy your changes.
PostgresCompare generates the SQL to keep your database up to date.
---
title: Compare PostgreSQL Schemas, Postgres Diff Tool
excerpt: PostgresCompare compares PostgreSQL database schema objects and writes the SQL to deploy the differences. An accurate and easy to use diff tool for Postgres.
description: PostgresCompare compares PostgreSQL database schema objects and writes the SQL to deploy the differences. An accurate and easy to use diff tool for Postgres.
---
PostgresCompare
The schema and data comparison tool for PostgreSQL
PostgresCompare supports PostgreSQL v9.2 or later
PostgresCompare identifies database objects that have been new, different or deleted.
PostgresCompare generates the SQL to keep your database up to date.
Clever and complete tool to compare PostgreSQL Schemas and Diff Databases - “Postgres Compare” https://t.co/OtrRPIyrWK
— Scott Hanselman (@shanselman) March 6, 2019
I needed a quick schema diff and got the answers I needed in under a minute ❤
— Richard Hayes (@justcompile) May 30, 2019
Using @postgrescompare daily and loving it!
— Wellspring (@WellspringCloud) July 31, 2020
I first used https://t.co/qKuRTts74A for comparing two @PostgreSQL database schemas late last year. Now it has become useful as I plan a website update and I want to verify the database changes have already been implemented. Compare dev to test to stage to prod.
— Dan Langille (@DLangille) January 4, 2019
@postgrescompare - just used the tool for the first time and it was a huge help! Thanks!
— Ryan Booz (@ryanbooz) April 8, 2019
Have some minor feedback on the results of the diffs and wondered where/how you'd like me to submit it?


Class: tweak.Router
| Defined in: | app\lib\router.coffee |
| Includes: | tweak.Common.Empty tweak.Common.Events |
Overview
Router module
Instance Method Summary
- # (void) start(options = {}) Start watching the roouter for changes, options for speed and whether to be quiet
- # (void) stop() Stop watching the router for changes
- # (void) check(quiet = false) Check the window location, if there is an update from previous url then trigger an event
- # (void) set(obj, quiet = false) Set the url hash with certain data; triggering router based events
- # (void) mask(obj) Masks the url hash with certain data without triggering events
Included Method Summary
Methods included from tweak.Common.Empty
Methods included from tweak.Common.Events
Constructor Details
#
(void)
constructor()
Private
Instance Method Details
#
(void)
start(options = {})
Start watching the roouter for changes, options for speed and whether to be quiet
#
(void)
stop()
Stop watching the router for changes
#
(void)
check(quiet = false)
Check the window location, if there is an update from previous url then trigger an event
Examples:
hash url examples
tweakjs.com/#search/safe/version=2
triggers:
#{@name}:router:data:search
#{@name}:router:data:safe
#{@name}:router:data:version (passes in 2)
#{@name}:router:changed (passes in {search:true, safe:true, version:2})
tweakjs.com/#version:1/search/safe/version=2
triggers:
#{@name}:router:data:version (passes in 1)
#{@name}:router:data:search
#{@name}:router:data:safe
#{@name}:router:data:version (passes in 2)
#{@name}:router:changed (passes in {search:true, safe:true, version:2})
#
(void)
set(obj, quiet = false)
Set the url hash with certain data; triggering router based events
#
(void)
mask(obj)
Masks the url hash with certain data without triggering events


Tour of What's New in Version 5.0
See also What's New in other versions.
Contents:
- Dynamic Dataflow:
HanoiTower
(see also
Eratosthenes,
IfThenElse,
Loop,
OrderedMerge,
RandomWalk)
In dynamic dataflow (DDF) models, actors are fired in response to available
input data. The schedule is dynamic and data dependent, and actors can
change their production and consumption rates in each firing.
Unlike synchronous dataflow, the DDF model of computation is Turing
complete, and questions of deadlock and boundedness are undecidable.
The HanoiTower
example exploits this to give an algorithmic solution to the well-known
towers of Hanoi problem.
-
Modeling of hybrid systems:
NewtonsCradleComplicated.
Hybrid systems are a special case of modal models
where finite-state machines (FSMs) are combined with the continuous-time (CT) models
to get mixed continuous-time and discrete-event models.
The HyVisual package
is a subset of Ptolemy II that includes the FSM and CT domains and libraries
that support the design of hybrid systems.
Version 5.0 introduces significant rework of the hybrid systems
modeling infrastructure to have more complete and predictable
semantics, as described in the paper
"
Operational Semantics of Hybrid Systems".
The
NewtonsCradleComplicated
example illustrates this with a model of a physical system that has simultaneous
events.
- Stochastic hybrid systems:
IncreasingRatePoisson
(see also
HysteresisWithRandomDelay,
Brownian
).
Stochastic hybrid systems add random behavior to continuous-time models mixed
with discrete events. The
IncreasingRatePoisson
models spontaneous mode transitions governed by a Poisson process.
The HysteresisWithRandomDelay
example uses similar spontaneous mode transitions to model random delay in mode transitions.
The Brownian example
models a stochastic differential equation describing a random walk process.
- Heterochronous Dataflow:
Fibonacci
(see also
Merge).
Heterochronous dataflow (HDF) is an extension of synchronous dataflow
(SDF) that permits dynamically changing production and consumption
patterns without sacrificing static scheduling. In SDF, the production
and consumption patterns of an actor are constant.
In HDF they are allowed to change between iterations of the HDF schedule.
Modal models can be used to change these patterns.
Although HDF can express many data-dependent computations that cannot
be represented by SDF, it is not Turing complete. Consequently, deadlock
and boundedness remain decidable.
The Fibonacci
example uses this mechanism in a clever way to extract a Fibonacci sequence
from a counting sequence.
- Unbounded model time:
LongRuns.
Version 5.0 introduces a new
Time class
that represents model time in a manner that has a specified resolution
and unbounded growth potential. Any two time values that are within the specified
resolution are treated as equal. Moreover, time can increase forever without
concern for loss of resolution or overflow.
The LongRuns
example is a discrete-event model that can be run forever, in principle,
without (significant) growth of memory requirements and without loss
of (internal) precision in model time.
The precision of time representations is given by a director parameter
whose value is shared across all directors in a model (see
SharedParameter).
- Synchronous Reactive Modeling:
GuardedCount.
The synchronous/reactive (SR) domain,
which is inspired by the synchronous languages Esterel, Lustre, and Signal,
realizes a concurrency model where actors react instantaneously and simultaneously
at ticks of a logical clock. Version 5.0 introduces a richer set of actors
for use with this domain, as well as a bug fix permitting
SROptimizedScheduler to be used inside a composite actor.
The GuardedCount
example illustrates some of these new capabilities.
The new actors are:
- Nondeterministic merge in Process Networks (PN):
NondeterministicMerge.
The PN domain now supports a NondeterministicMerge actor, which merges two
incoming streams nondeterministically. This new actor should be used with
caution, since determinism is one of the key features of PN. Use of this
actor is risky because any given execution is only representative of
the possible executions. Nonetheless, this offers a considerable
increment in expressiveness.
- New Parameters:
A number of new parameters have been introduced.
The DoubleRangeParameter
limits the range and precision of a double-valued parameter,
and is supported in the user interface by providing a slider by default in parameter
editing dialogs.
The FilePortParameter
is used by actors to specify a file or URL using both a
parameter and a port. The user interface supports this by offering a file browser
dialog by default when editing this parameter. The
SharedParameter
is a parameter
whose value is constrained to be identical to a suite of other instances of
SharedParameter in the same model. This parameter is used, for example, to
handle seeds in random number generators, as illustrated for example in
ColtRandom.
- Higher Order Components:
ExecDemos
(see also
IterateOverArray).
The higher-order component capabilities of Ptolemy II continue to evolve.
The ExecDemos model, when executed, starts a new
Java virtual machine that then executes the
RunDemos model,
which runs all demos in a specified directory using full-screen mode.
This illustrates how to use higher-order actors to control the lifecylcle of other Ptolemy II
models. This example can be set up to automatically and repeatedly run demos
unattended by following the instructions in the
README.txt file.
The new higher-order actors include:
- Graphics domain:
SolarSystem
(see also Helen).
The graphics (GR) domain has been extensively revised to take better advantage of underlying
capabilities in the Java 3D package. For example, the
SolarSystem
model illustrates transparency (see the rings of Saturn), and the
Helen model
illustrates texture mapping and movable viewer positioning.
The following capabilities are now supported:
- transparency
- texture mapping
- shininess
- colors use ColorAttribute
- more colors can be set
- settable resolution
- wireframe option for shapes
- flat facets option for shapes
- run-time changes of parameter values
- parameters in the Text3D actor
- movable viewer position
A number of new and enhanced actor libraries are included in version 5.0.
You may also wish to refer to the
ptolemy.actor.lib
package, where most of the domain-polymorphic actors reside (domain-polymorphic actors are
those that can be used in more than one domain).
- New generic actors:
- Random number generators:
ColtRandom.
A new library of random number generators, developed jointly with
David Bauer and Kostas Oikonomou from AT&T Research, is based on the popular
Colt "Open Source Libraries for High
Performance Scientific and Technical
Computing in Java."
Colt is described at
http://hoschek.home.cern.ch/hoschek/colt/
.
The library supports many
commonly used probability distributions and provides
systematic management of seeds and random number generation
techniques.
- New discrete-event actors:
- Communications library:
The communications library
includes a number of new actors:
- New Continuous Time demos:
- New Discrete Event (DE) demos:
- New Dynamic Dataflow (DDF) demos:
- New Heterochronous Dataflow (HDF) demos:
- New Giotto demos:
- New Graphics (GR) demos
(requires Java 3D, see the GR domain):
- New Wireless demos:
- Java compatibility:
Ptolemy II can be compiled under Java 1.5.0_01. Java 1.4.2_08
is preferred though.
- Support changing the order of attributes, ports, etc., and
support moving objects towards the foreground or background
in the user interface. This is particularly helpful when
editing icons, since the elements of the icon can now be sent
to the background or brought to the foreground by right clicking
and selecting the appropriate option.
- Fractional math:
A new library supporting arithmetic on fractions has been created. See:
- Added external source (URL) option to the Instantiate Entity
command in the Graph menu.
- Below is a partial list of other new Java files:
- Fixed "Restore Defaults" when actors and directors
use the three argument constructor for parameters.
- Previously, if a class definition were to show the name
of ports, there was no way to turn this off (the attribute
_showName) could not be removed. Now, marker attributes
such as _showName are boolean valued parameters, so they
can be turned off by overriding their value.
- Fixed long standing bug in copy where objects are represented
in the wrong order in the exported MoML.
- Fixed some subtle bugs in ModalModel, where changes to
input/output status and ordering of ports were not properly
reflected in the mirror ports.
- A number of potential deadlocks have been fixed:
- deadlock while dragging actors during a run.
- deadlocks in PN when exceptions occur in the model.


Introduction
Summary
TobEx (Throne of Bhaal Extender) is a dynamic link library (DLL) written in C++ that fixes game engine bugs and extends the game engine by modifying the virtual image of the Throne of Bhaal BGMain.exe in memory.
TobEx is both a modification for players and a resource for modmakers. Briefly, the features of TobEx are:
- Bug fixes to a variety of different parts of the engine
- More debugging information
- Extensions to the user interface, such as additional scrollbars
- Optional tweaks to engine behaviour
- (Modders) Externalisation of hard-coded behaviour
- (Modders) New and modified triggers, actions, and effects
Contents
This redistributable package contains the core TobEx files available for modders to use within their modifications. The source code for the program is included with compile notes in the ./TobEx/src directory. The revision history is located in revisions.txt
•BACK TO TOP
Requirements
TobEx requires Baldur's Gate II: Throne of Bhaal version 26498. The modification will not work on other versions of Throne of Bhaal.
TobEx is programmed and primarily tested on Windows sytems. It may work on Linux systems, and is unlikely to work on Macintosh systems.
•BACK TO TOP
Usage
Including TobEx in your modification
You are free to include this redistributable package in your modifications. Please give credit where it is due.
In order to install TobEx as part of your modification:
- Place the entire ./TobEx_redist directory within your mod directory.
- Insert the following code into your mod's main .tp2 file. Replace <your mod directory> with the directory that your mod uses. Please note that TOBEX_ is used as a prefix to make the variable unique. It should not point to the TobEx mod directory, but to your mod's directory.
OUTER_SPRINT TOBEX_MOD_DIRECTORY "./<your mod directory>"
LOAD_TRA "%TOBEX_MOD_DIRECTORY%/TobEx_redist/TobEx.tra"
ACTION_INCLUDE "%TOBEX_MOD_DIRECTORY%/TobEx_redist/TobEx.tpa"
- Once installed, existing tweak settings are kept and all new tweak settings are disabled by default. In order to activate tweaks, use REPLACE_TEXTUALLY on TobEx_ini/TobExTweak.ini. For example:
COPY "TobEx_ini/TobExTweak.ini" "TobEx_ini/TobExTweak.ini"
REPLACE_TEXTUALLY "A Tweak=0" "A Tweak=1"
BUT_ONLY_IF_IT_CHANGES
- In order to support translations to other languages, translators should translate TobEx.tra. Then, modify the LOAD_TRA tp2 action to point to the language-specific .tra file. For example:
LOAD_TRA "%TOBEX_MOD_DIRECTORY%/language/%LANGUAGE%/TobEx.tra"
Notes
- If another mod has installed TobEx_redist, the installation will check the user's current TobEx_redist version and update accordingly if required. There is no need to manually check the user's current TobEx_redist version.
- Core tweak settings are not kept. If your mod installs a new version of TobEx_redist, the existing settings in TobEx_ini/TobExCore.ini are overwritten.
- Existing tweak settings are kept. If your mod installs a new version of TobEx_redist, the existing settings in TobEx_ini/TobExTweak.ini are kept.
- There is no need to, although you can, install TobEx_redist as a separate component in your modification. If required, check for the presence of an existing TobEx_redist version by using FILE_EXISTS "TobEx_ini/TobExVer.txt".
- TobEx translation strings occupy references starting from @-10000 and going lower (more negative). Avoid using these strings in your modification because TobEx will overwrite them.
- In order to load TobEx.dll on game startup, the following BGMain.exe executable addresses are used:
0x639573-0x63957C
0x66F0F5-0x66F0FB
0x66F115-0x66F11C
0x66F135-0x66F13E
Upgrading
- Remove the entire existing ./TobEx_redist directory within your mod directory.
- Place the entire new ./TobEx_redist directory within your mod directory.
BACK TO TOP
Troubleshooting
First, make sure that TobEx is actually the issue. You can forcefully disable TobEx from running by renaming TobEx.dll in your game directory.
For more debugging information:
- Open TobEx_ini/TobExCore.ini in a simple text editor.
- Under the [Debug] section, set all values of 0 to 1.
- Try to reproduce your error in-game. TobEx may sometimes reports some extra information about the error.
- Report any errors you find on the Spellhold Studios forums. Expect to be asked to attach a .zip of your saved game folder, WeiDU.log, TobEx.log, TobExCore.ini, and TobExTweak.ini.
•BACK TO TOP
Compatibility
The redistributable version of TobEx is identical to the "TobEx - Core" component of the main TobEx modification. Installation automatically detects if an update is necessary and updates accordingly. Installation will continue without any changes if no update is required. There is no requirement for any special user action.
TobEx may have compatibility issues with mods that directly modify the executable. Please apply the troubleshooting tips above if you are having trouble and believe you may be experiencing compatibility issues with other modifications. Modifications that modify the executable include (in alphabetical order):
- 1PP Extended Palette Entries
- 1PP Female Dwarves
- 1PP Thieves Galore
- A6CharmPatch
- A6XPPatch
- Aurora's Shoes and Boots
- Fishing For Trouble
- Baldur's Gate Trilogy-WeiDU (BGT-WeiDU)
- Infinity Animations
- Sword Coast Stratagems (SCS)
- Sword Coast Stratagems II (SCSII)
- Spell Revisions
- tb#tweaks
- tob_hacks
- tob_inject
- Widescreen mod
- Various experience cap patches
•BACK TO TOP
Credits
- BioWare for creating the Infinity Engine and its games
- Contributors to the Infinity Engine Structure Description Project (IESDP) for data structure information
- GemRB developers for providing further data structure information
- Petr Kobalicek for AsmJit and MethPresso
- Taimon for ToB_hacks and his research
- The Infinity Engine modding community for their support
•BACK TO TOP
Legalese
BALDUR'S GATE II: SHADOWS OF AMN, BALDUR’S GATE II: THRONE OF BHAAL: © 2000, 2001 BioWare Corp. All Rights Reserved. Baldur's Gate, Throne of Bhaal, and Shadows of Amn are trademarks owned by Wizards of the Coast, Inc. and are used by Interplay under license. All Rights Reserved. The BioWare Infinity Engine is a trademark of BioWare Corp. All Rights Reserved.
MathPresso is © 2008-2010, Petr Kobalicek<EMAIL_ADDRESS>under the MIT License.
AsmJit is © 2008-2012, Petr Kobalicek<EMAIL_ADDRESS> This modification is not developed, supported, or endorsed by BioWare Corp., Interplay, or Black Isle. All images and contents of this mod are © BioWare Corp., Interplay, Black Isle or Wizards of the Coast, Inc.
This is a community modification, created as a hobby for free. You can distribute among your peers as much as you like. However, please display good faith and credit the authors of the modification if you intend to modify the package in any way or use any part of this modification as a template to create a modification that you intend to release to the community.
•BACK TO TOP


My Favorite Places
Fave Places
Here's a list of my favorite places to visit:
Miami
The Bahamas
Future fave places
Here's a list of my future favorite places (lol):
NYC
San Francisco
Paris
Rio de Janeiro
Cabo San Lucas
And many more!


Introduction to Object Event Modeling of Activities
This chapter shows how to make activity-based Discrete Event
Simulation models using the paradigm of Object Event Modeling and
Simulation (OEM&S) with UML Class Diagrams and DPMN Process
Diagrams. It is recommended to first read the tutorial Discrete Event
Simulation with OESjs-Core1.
Activities are composite events, having
a start event and an end event, and a duration as the time in-between their
start and end events.For modeling a discrete dynamic system with
activities, we have to
- describe the object types, event types and
activity types of the system (in an information
model);
- describe for any resource-constrained activity
type, its resource roles and associated resource pools (in the
information model);
- specify, for any event type, the state changes of affected
objects and the follow-up events caused by the occurrence of an
event of that type (in a process model);
- specify, for any activity type, the state changes of affected
objects and follow-up events caused by start and end events of
activities of that type (in the process model).


I have completed my bachelors from Parul University, Vadodara in Computer Science and Engineering with CPI of 7.5 out of 10.
I have been writing code for threee years now. I started off with Basics of C/C++ and progressed to Java for Android Apps, web-applications and Back-end. I want to built my career in a Data science
Currently working as Software Developer at Rishabh Software Pvt. Ltd. based in Vadodara.
working as Software Developer at Rishabh Software Pvt. Ltd. based in Vadodara.
Computer Science And Engineering with 7.5 CPI
- Google Analytics for Beginners
- Advanced Google Analytics
- Advanced Google Analytics
- Serverless Concepts by Linux Academy
Work With Html5, Css and Javascript for random projects like, A Web-Dack and A personal Portfolio.
Work on Spring MVC, REST and JSON in spring and Maven in IT company.
Worked on Google Analytics for Fun and to Earn the Google Certificates.
I will graduate in June 2019 and I'm open to job offers anywhere in the India. Open to relocating to anywhere in India.


Hi! Below is an embeded sectio. If you would like to embed this sectio on your page, copy the following code (including the iframe tags): <iframe width="300px" src="http://sectio.knedl.si/iframe/part.html"></iframe>


Surrealism is a cultural movement that began in the early 1920s in France, and is best known for its visual artworks and writings. Artists painted unnerving, illogical scenes with photographic precision, created strange creatures from everyday objects, and developed painting techniques that allowed the unconscious to express itself. Its aim was to "resolve the previously contradictory conditions of dream and reality into an absolute reality, a super-reality".
Surrealist works feature the element of surprise, unexpected juxtapositions and non sequitur; however, many Surrealist artists and writers regard their work as an expression of the philosophical movement first and foremost, with the works being an artifact. Leader André Breton was explicit in his assertion that Surrealism was, above all, a revolutionary movement.
Surrealism developed out of the Dada activities during World War I and the most important center of the movement was Paris. From the 1920s onward, the movement spread around the globe, eventually affecting the visual arts, literature, film, and music of many countries and languages, as well as political thought and practice, philosophy, and social theory.


T: -2 Months: Pre-load of Bupropion 300mg/day and Trazodone 200mg per/night for 60 days.
T: -18 hours: Trazodone 200mg.
T: -9 hours: Bupropion 300mg.
After 2 months on the Trazodone/Bupropion regime I am energetic, sleeping well, and experiencing a very pleasant sense of well-being during the day, accompanied by mild and pleasant body sensations on my arms and legs. I decided that I wanted a new stimulant type drug because of some memory effects of the Trazodone. After much research into anti-depressants and their effects/side effects profile, I found Reboxetine and ordered 60 4mg tablets.
T: 0 I take 8mg of Reboxetine orally and sit down to eat. I am anticipating something, but I don't know what.
T: +15 minutes: Suddenly the lights appear very bright, as if the sun is shining over the dinner table. I am startled; everything has that 'glassy look' as in the first few minutes of a strong LSD trip.
T: +20 minutes: The glassy appearance and brightness are fading when suddenly a delightful rush of shivers, similar to a mild methamphetamine rush, flows down my head and over my arms and legs. I also am experiencing mild euphoria and enjoying an orgasmic like feeling in the palms of my hands. I feel like talking, and I 'like everyone.' My heart is pounding, and my face feels flushed. The 'glow' of physical feeling and empathy ebbs and flows, mild euphoria and rushes rising up and down like waves beating on my mind. This continues, and at T+1 hours I take an additional 4mg of Reboxetine.
T: +1 to +7 hours. The experience doesn't develop stronger but it changes in quality. The effects experienced in the first hour plateau, and the empathy and euphoria depart at about T +2 hours. The physical sensations become milder and milder over until the last of them at about T+7. I feel like I want to do something; energetic and mind racing, so I chat with some Chinese girls on the internet. I am very, very horny and making obvious sexual advances to some of my friends, asking if they want to go and spend a weekend with me on Easter Island, etc. I have a driving feeling of wanting to do something; however I am constrained in this setting (mother's house) so I lay on the bed and listen to music.
T: +7 to +9 hours: I take 200mg of Trazodone and spend the next 2 hours drifting in and out of a dreamy, trance-like state. The body sensations have become similar to the chills felt when coming down from amphetamine. My head has a slight ache, and I fall asleep.
T: +14 hours: I wake up, feeling energetic and alert. I doze off for another hour,wake up, take 300mg bupropion and 8 mgs of Reboxetine, and the cycle begins again. I will continue this regime of anti-depressants for another 1 to 2 months, and observe long-term effects and side effects.
Other observations: The feeling in the first 3 to 4 hours was very similar to Preludin (Phenmetrazine.) In the first 3 hours I also experienced time dilation; time seemed to rush by, but when I looked at the clock, only 10 or 15 minutes had passed. There was also some mild anxiety and agitation when the waves were on the downside but not serious enough to be a concern. The last few hours with the headaches and chills was similar to what I experienced on Ionamin (phentermine.) The dreamy state was induced by the Trazodone; however, it was more ethereal with the additional effects of the Reboxetine. Overall, this was an A+ experience with few bad effects. I believe I could easily work in this state, or engage in other complex activities. I have ordered an additional 180 4mg tablets from an online pharmacy and will continue this research.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Inflow difference:
0" class="cumulative-class" src="../../../../assets/up-arrow.png" height="25px" width="25px">
cumulativeInflowDiff" class="cumulative-class" src="../../../../assets/down-arrow.png" height="25px" width="25px">
0 , 'negative-text-class' : 0 > cumulativeInflowDiff }">{{cumulativeInflowDiff}}%


Modern Interior
A full-Service residential & commercial interior design and staging company offering professional organizing & eco-services.
Aliza Webber
Interior designer
A full-Service residential & commercial interior design and staging company offering professional organizing & eco-services.
Interior designer


Watch it changing for tiny, small, medium, large, xlarge, 2xlarge and 3xlarge widths!
Use one order for all four screen sizes:
nxColOrder="last"
nxColOrder="first"
nxColOrder="unordered"
nxColOrder="unordered"
Changing the order for tiny size:
Changing the order for tiny and small size:


This is some basic, sample markdown.
Blockquote
And bold, italics, and even italics and later bold. Even strikethrough. A link to somewhere.
| Name | Lunch order | Spicy | Owes |
|---|---|---|---|
| Joan | saag paneer | medium | $11 |
| Sally | vindaloo | mild | $14 |
| Erin | lamb madras | HOT | $5 |
Or inline code like var foo = 'bar';
.
Or an image of bears
The end ...


First line
Break before
Break after
No effect (should be top of 3rd page, using css or specify).
Legacy (should create a break after).
No effect (should be top of 2nd page, using legacy).
Big element (should start on new page, using avoid-all/css/specify).
No effect (should start on next page *only* using avoid-all).
No effect (for spacing).
Full-page element (should start on new page using avoid-all/css/specify).
No effect (for spacing).
Even bigger element (should continue normally, because it's more than a page).
No effect inside parent div (testing avoid-all - no break yet because parent is more than a page).
Big element inside parent div (testing avoid-all - should have break before this).
| Cell 1-1 - start of new page | Cell 1-2 - start of new page |
| Cell 2-1 - start of another new page | Cell 2-2 - start of another new page |


{% extends "ui.html" %} {% block headline %}404: {{ gettext('Not Found') }}{% endblock %} {% block content %}
{{ gettext('Whatever you were looking for, it sure ain\'t here...') }}


Watch Marshmello, Yungblud and Blackbear lead a youth revolt in apocalyptic video for new song ‘Tongue Tied’
"If you feel like, that you're tongue-tied, then we're tongue-tied together"
Marshmello has shared a new single and music video with Yungblud and Blackbear called ‘Tongue Tied’.
The skulking, angsty pop song, which carries a message of unity and empowerment in the face of poor mental health, comes with a dystopian video that sees a resistant youth stand up to oppressive forces.
Actress Joey King from Hulu’s true crime series The Act plays a rebel at the heart of the revolt, with Yungblud, Marshmello and Blackbear portraying themselves as members of the resistance.
Elsewhere, earlier this month Yungblud unveiled a chilling new music video for ‘Die A Little’, his contribution to the soundtrack of the third season of Netflix’s teen drama 13 Reasons Why.
The clip, according to Yungblud in a press release, is a “call out to take mental health seriously.” It was shot in Bulgaria and directed by Andrew Sandler, who previously worked on the singer’s ‘Hope For The Underrated Youth’ visual, the lead single from his latest EP of the same name.
In October, the British star returned with a new EP, ‘The Underrated Youth’. The six-track record is “sharply written and filled with bold, unapologetic political statements”, NME’s Hannah Mylrea wrote in a four-star review.


The User Story of Chuck Thickman
As a crunchyroll user, Chuck wants to use the crunchyroll to find a slice of life anime
Back To Menu


The Mandalorian: Disney Reverses Baby Yoda GIF Takedown Campaign
by Mike BloomThe Mandalorian GIFs of Baby Yoda are no longer in a galaxy far, far away.
GIPHY announced that GIFs of Baby Yoda, a breakout character from the first-ever live-action Star Wars series, will return to its filebase. The news comes in the wake of the revelation last week that GIFs of the adorable youngster had seemingly disappeared from social media.
"Last week, there was some confusion around certain content uploaded to GIPHY and we temporarily removed these GIFs while we reviewed the situation," GIPHY's spokesperson told ComicBook.com. "We apologize to both Disney and Vulture for any inconvenience, and we are happy to report that the GIFs are once again live on GIPHY."
Click the button below to start this article in quick view.
The Vulture reference refers to an article posted by the publication last week, which highlighted only the scenes featuring the green creature that has taken the universe by storm. In lieu of direct GIFs being available at the time, Vulture persisted by partnering with illustrator Martin Gee, who brought the scenes to life with his own hand-drawn animations.
Created by Jon Favreau, The Mandalorian stars Pedro Pascal, Gina Carano, Carl Weathers, Giancarlo Esposito, Emily Swallow, Omid Abtahi, Werner Herzog and Nick Nolte. The first three episodes are streaming now on Disney+.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2TVhttps://www.cbr.com/category/tv/ListItem3TV Newshttps://www.cbr.com/category/tv/news-tv/ListItem4The Mandalorian: Disney Reverses Baby Yoda GIF Takedown Campaignhttps://www.cbr.com/mandaloria-baby-yoda-gif-takedown-reversed/


Communicating with the grand
Passing event to grandparent-
directly
Grandparent context
Grandchild speaks!
Parent context
Alas! This works fine, but is not the ideal way to do it in a larger application.


Simple words to inspire perspective and gratitude.
"We met in 1944. That's 25,000+ days."
"Joyful moments usually stem from spontaneous love."
"And the best ones are also cause for laughter."
Maybe someday we will also make t-shirts.
Feel free to email with suggestions.
Signup for weekly wisdom
us with things we do not have or want.
Let's focus on accessible moments that matter.
it captures wisdom and vulnerability all should seek.
We'd love to share your 30-word advice and cute photo.


WITNESS LIST Criminal Jurisprudence Committee April 8, 2003-2:00P HB 90 For: Lewis, Bill (Mothers Against Drunk Driving) HB 235 Against: Epstein, Ruth (ACLU of Texas) On: Sparks, Grant (Office of the Attorney General, Internet Bureau) HB 236 Against: Epstein, Ruth (ACLU of Texas) On: Sparks, Grant (Office of the Attorney General, Internet Bureau) HB 237 On: Edmonds, Shannon (TDCAA - Texas District & County Attorneys Association) Sparks, Grant (Office of the Attorney General, Internet Bureau) HB 614 For: Hon, Lee (Self and Polk County Criminal District Attorney's Office) Moseley-May, Ellen (Self) Needels, Karla (Self) Ryman Jr., Willie A. (Self and Justice For All) Weeks, David P. (Self) Welner M.D., Michael (Self) Against: Garnett, Dr. Richard (ARC of Texas) Hampton, Keith (Texas Criminal Defense Lawyers Association) Liebman Dershowitz, Hanna (Self and Texas Appleseed) Rosenstein, Ph.D, Leslie (Board of Directors & Professional Affairs & Information Office of the National Academy of Neuropsyc) Seay, Ph.D, Ollie J. (Texas Psychological Association) Statman, Rona (Texas Advocates - A Statewide Non-Profit Organization of Adults with Mental Retardation) Steiker, Jordan (Self) Whittington, Harry M. (Self) Wright, John E. (Self) On: Edmonds, Shannon (TDCAA - Texas District & County Attorney's Association) Ellis, James (Self) HB 715 For: Shultz, Dr. Landon T. (Self) Stepnoski, Mark (National Organization for the Reform of Marijuana Laws) Woolridge, Howard J. (Law Enforcement Against Prohibition) HB 797 For: Coughlin, Ken (Wichita Falls Police Department) Phillips, Katherine (Operation Crackdown (Neighborhood Coalition) and Eastside Girls & Boys Club) HB 1412 For: Cox, Campbell (Self) Against: Beardall, Bill (Equal Justice Center) Hampton, Keith (Texas Criminal Defense Lawyers Association) Roades, Charles (Self) HB 1424 On: Stephenson, Scott (Office of the Attorney General, Medicaid Fraud Control Unit) HB 1895 For: Carr, Verna Lee (People Against Violent Crime) HB 2014 On: Edmonds, Shannon (TDCAA - Texas District & County Attorneys Association) Mitchell, Beth (Advocacy, Inc.) HB 2316 For: Foster, Claude (NAACP National Voter Fund) Llano, Ann del (ACLU of Texas) Nelson, James A. (Self and Restorative Justice Network of Texas) Sauer, Larry (Self and ACLU) Shultz, Dr. Landon T. (Self) Woolridge, Howard J. (Law Enforcement Against Prohibition) HB 3397 For: Noll, Chuck (Harris County District Attorney's Office) Turley, Gail M. (County & District Clerks' Association of Texas) HCR 93 For: Harrell, Will (ACLU, NAACP)


Welcome To My Website
Bio
Hi, Welcome to my website! I am Anghello Tejada and I am from
Peru. I am a student and I am currently majoring in Computer
Science at the University of Arizona. I considered myself a
programmer with the required experience and knowledge in order to
develop and work on different projects. I have been coding since I
was a child, in particular, Java was my first programming language
that I learned. Python is the language that I am currently
learning due to the fact that it is the required language for my
college. Now, I came to this BootCamp with previous experience in
web-development, but I think that I am currently good in regards
to where I am standing right now as a programmer. I think that
this BootCamp will help me out to add up skills to my portfolio
and hopefully update it as time moves forward.


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Valentine:
What impeccable timing you have! I'm about ready to start brewing. Hand over the ice crystal and I'll make the liquor right away.
"Here you go!"


#include "comms/Comms.h"
#include "device/Account.h"
#include "monitor/Monitor.h"
Go to the source code of this file.


I love cheese, especially cheddar who moved my cheese. Goat blue castello port-salut stilton cheesecake parmesan paneer taleggio. Halloumi queso melted cheese cheesy feet cream cheese croque monsieur gouda cheese slices. Pepper jack pepper jack chalk and cheese swiss brie gouda cheese slices queso. Pepper jack babybel when the cheese comes out everybody's happy smelly cheese.
Rubber cheese pecorino cut the cheese. The big cheese camembert de normandie bocconcini airedale pecorino cream cheese pecorino mozzarella. Dolcelatte everyone loves melted cheese paneer taleggio stinking bishop cheesy feet cut the cheese. Cheese and wine ricotta cheesy grin.
Hard cheese blue castello cheese and wine. St. agur blue cheese cheese and wine cheese and wine goat fondue melted cheese monterey jack fondue. Bavarian bergkase melted cheese melted cheese taleggio smelly cheese taleggio red leicester cheese and biscuits. Cauliflower cheese cottage cheese cauliflower cheese stinking bishop halloumi monterey jack.
Boursin emmental fondue. Pecorino ricotta danish fontina macaroni cheese mozzarella mascarpone cheesecake emmental. Say cheese babybel cut the cheese rubber cheese fondue smelly cheese who moved my cheese smelly cheese.  Croque monsieur paneer danish fontina.


PureBasic - Debugger
概要
The Debugger library provides functions for controlling the debugger, for example to empty the debug output window or to open the memory viewer with a specific memory area to display. All these debugger tools are described in the debugger tools chapter.
The functions in this library are only compiled into the executable if the debugger is enabled on compilation. If the debugger is disabled then the entire call to these functions will be ignored.
There are also a number of special keywords to control the debugger from code.
命令索引
ClearDebugOutput
CopyDebugOutput
PurifierGranularity
ResetProfiler
SaveDebugOutput
ShowAssemblyViewer
ShowCallstack
ShowDebugOutput
ShowLibraryViewer
ShowMemoryViewer
ShowProfiler
ShowVariableViewer
ShowWatchlist
StartProfiler
StopProfiler
已支持操作系统
所有


I used the bing search to find the urls. The bing.image didn't return alt text, but returned
a title, so I sliced the first 30 char. to use as the alt text. I can return the image URLs and display them
as thumbnail pictures.
I can paginate through the responses by modifying the offset. I limited the choice from 1 to 10. This will skip
the number of images provided in the offset.
I can return a list of the most recently submitted search strings sorted by timestamp.


cma.constraints_handler2.RankWeight
class documentationcma.constraints_handler2
(View In Hierarchy)
A weight that adapts depending on observed values.
The weight is designed to be used in a ranksum.
TODO: should the threshold be a percentile instead of all(.)?
| Method | __init__ | increment default is 1. |
| Method | update | update weight depending on sign values of g_vals . |


Before Change
.getOrCreate()
start = time.time()
try:
horovod.spark.run(None, env={"PATH": "/nonexistent"})
self.fail("Failure expected")
except Exception as e:
print("Caught exception:")
traceback.print_exc()
self.assertIn("mpirun exited with code", str(e))
self.assertLessEqual(time.time() - start, 10, "Failure propagation took too long")
finally:
spark.stop()
After Change
def test_mpirun_not_found(self):
start = time.time()
with spark("test_mpirun_not_found"):
with pytest.raises(Exception, match="^mpirun failed with exit code 127$"):
horovod.spark.run(None, env={"PATH": "/nonexistent"}, verbose=0)
self.assertLessEqual(time.time() - start, 10, "Failure propagation took too long")
Test that horovod.spark.run invokes mpi_run properly.


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[§244D-17] Disposition of revenues. All moneys collected pursuant to this chapter shall be paid into the state treasury as state realizations, to be kept and accounted for as provided by law. [L Sp 1984 1st, c 1, pt of §2]


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module Text_tags:sig
..end
This module provides facilities to control tags in the format strings. For simplicity and readability we're using sexp to define tags with attributes. See below for more information.
The default behavior is to ignore tags. You can switch between
modes using install
and with_mode
function (the last one
will restore previous state of the formatter).
Tags allows to literally tag pieces of text in format strings, the format of tagging can be explained with the following example:
"@{<html> @{<head> @{<title> Tags!@}@}@{<body> Hello!@}@}"
In html mode, this will produce a valid HTML
document:
<html> <head> <title> Tags! </title> </head> <body> Hello! </body> </html>
In this mode (the default one) the tags will be ignored, and they will have no effect on the final output.
If tag has attributes, then they should be passed as S-expressions, with the following grammar (EBNF):
tag = name | "(", name, {arg}, ")"; arg = "(", name, value, ")".
Where name
is arbitrary html valid name without >
in it.
The same is true for value
with an addition of double quotes.
If value
start with double quotes it will be stored as is,
otherwise it will be properly escaped and double quoted.
Tags in Format
module are stringly typed, so we will use a
trick, and encode them using s-expressions. Not very typesafe,
but better than arbitrary string.
Example: (a (href #) (id x))
will be converted to <a
. Note, that quotes will be inserted
automatically, and special symbols will be escaped. If
attribute value is quoted by itself, then it will be taken as
is. If tag doesn't contain attributes, then it can be provided
as an atom, e.g.
href="#" id="x">html
, but more verbose (html)
is still
accepted
In this mode the tag has the following syntax:
tag = ".", name, value, "\n"
where name is a strings that must not contain whitespaces. (Usually we use dashes to separate words), and value is an arbitrary sequence of chars that must not contain the newline character.
The attributes will be printed as is, if the mode is enabled, and
a name of the attribute is marked to be shown with Text_tags.Attr.show
function (by default no attributes will be shown).
When Text_tags.Attr.print_colors
is set to true
, the foreground
and
background
attributes will be handled specially. The attribute
value, that must be a valid ansi color escape sequence, will
switch the foreground and background colors of the text, if the
terminal allows it (otherwise ugly things will happen, that's why
the attribute is ignored when color submode is disabled).
The blocks mode grammar is very similiar to html mode, as it also uses sexp syntax.
tag := "(", "id", value, ")" | "(", "title", value, ")"
Where value
is a string, delimited with quotes if it contains
whitespaces.
The tag will be rendered as begin/end block, with the body indented by one space. E.g.,
Will be rendered as:
begin(main) r0 := r1 + r2 r1 := r2 + r2 return lr end(main)
If both id
and title
is specified, then only title will be
outputed. Otherwise, id
and title
has the same behavior.
This module provides facilities to control tags in the format strings. For simplicity and readability we're using sexp to define tags with attributes. See below for more information.
The default behavior is to ignore tags. You can switch between
modes using install
and with_mode
function (the last one
will restore previous state of the formatter).
Tags allows to literally tag pieces of text in format strings, the format of tagging can be explained with the following example:
"@{<html> @{<head> @{<title> Tags!@}@}@{<body> Hello!@}@}"
In html mode, this will produce a valid HTML
document:
<html> <head> <title> Tags! </title> </head> <body> Hello! </body> </html>
In this mode (the default one) the tags will be ignored, and they will have no effect on the final output.
If tag has attributes, then they should be passed as S-expressions, with the following grammar (EBNF):
tag = name | "(", name, {arg}, ")"; arg = "(", name, value, ")".
Where name
is arbitrary html valid name without >
in it.
The same is true for value
with an addition of double quotes.
If value
start with double quotes it will be stored as is,
otherwise it will be properly escaped and double quoted.
Tags in Format
module are stringly typed, so we will use a
trick, and encode them using s-expressions. Not very typesafe,
but better than arbitrary string.
Example: (a (href #) (id x))
will be converted to <a
. Note, that quotes will be inserted
automatically, and special symbols will be escaped. If
attribute value is quoted by itself, then it will be taken as
is. If tag doesn't contain attributes, then it can be provided
as an atom, e.g.
href="#" id="x">html
, but more verbose (html)
is still
accepted
In this mode the tag has the following syntax:
tag = ".", name, value, "\n"
where name is a strings that must not contain whitespaces. (Usually we use dashes to separate words), and value is an arbitrary sequence of chars that must not contain the newline character.
The attributes will be printed as is, if the mode is enabled, and
a name of the attribute is marked to be shown with Text_tags.Attr.show
function (by default no attributes will be shown).
When Text_tags.Attr.print_colors
is set to true
, the foreground
and
background
attributes will be handled specially. The attribute
value, that must be a valid ansi color escape sequence, will
switch the foreground and background colors of the text, if the
terminal allows it (otherwise ugly things will happen, that's why
the attribute is ignored when color submode is disabled).
The blocks mode grammar is very similiar to html mode, as it also uses sexp syntax.
tag := "(", "id", value, ")" | "(", "title", value, ")"
Where value
is a string, delimited with quotes if it contains
whitespaces.
The tag will be rendered as begin/end block, with the body indented by one space. E.g.,
Will be rendered as:
begin(main) r0 := r1 + r2 r1 := r2 + r2 return lr end(main)
If both id
and title
is specified, then only title will be
outputed. Otherwise, id
and title
has the same behavior.
typemode =
string
html
, blocks
, attr
and none
exception Unknown_mode of string
val install : Format.formatter -> mode -> unit
install ppf mode
switch formatter ppf
into a mode
.
In a default mode
(named none
), the semantics tags are
ignored. Once a mode
is installed, all tags will be rendered
according to the mode.val with_mode : Format.formatter -> mode -> f:(unit -> 'a) -> 'a
with_mode ppf mode f
installs mode
, calls f
, and then
reinstalls the previous mode.val register_mode : mode -> (Format.formatter -> unit) -> unit
register_mode mode init
installs new mode.
The init
function must install all mode hooks using
Format
interface.val available_modes : unit -> mode list
available_modes ()
lists all currently installed modes.module Attr:sig
..end


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