diff options
| -rw-r--r-- | lib/linguist/classifier.yml | 111 | ||||
| -rw-r--r-- | test/fixtures/matlab/average.m | 9 | ||||
| -rw-r--r-- | test/fixtures/matlab/make_filter.m | 38 |
3 files changed, 135 insertions, 23 deletions
diff --git a/lib/linguist/classifier.yml b/lib/linguist/classifier.yml index 26a24d1..2d71997 100644 --- a/lib/linguist/classifier.yml +++ b/lib/linguist/classifier.yml @@ -1,6 +1,6 @@ --- !ruby/object:Linguist::Classifier -languages_total: 215 -tokens_total: 152461 +languages_total: 217 +tokens_total: 152712 languages: Apex: 6 AppleScript: 2 @@ -27,7 +27,7 @@ languages: Kotlin: 1 Logtalk: 1 Markdown: 1 - Matlab: 4 + Matlab: 6 Nemerle: 1 Nimrod: 1 Nu: 1 @@ -93,7 +93,7 @@ language_tokens: Kotlin: 149 Logtalk: 43 Markdown: 1 - Matlab: 206 + Matlab: 457 Nemerle: 17 Nimrod: 2 Nu: 6 @@ -9139,53 +9139,96 @@ tokens: Markdown: Tender: 1 Matlab: - "%": 11 - (: 24 - ): 24 - +: 1 - ...: 2 - ;: 14 - A: 2 - B: 3 + "%": 31 + "&": 1 + (: 53 + ): 53 + "*": 5 + +: 3 + "-": 5 + ...: 3 + /length: 1 + ;: 24 + "@getState": 1 + "@iirFilter": 1 + A: 3 + AVERAGE: 1 + B: 4 Calculate: 1 Call: 1 Comments: 1 + FILTFCN: 1 G: 1 + II: 1 + MAKEFILTER: 1 Matlab: 2 + Output: 1 R: 1 - and: 1 + STATEFCN: 1 + The: 1 + Update: 1 + X: 2 + a: 8 + also: 1 + and: 3 arbitrary: 1 + assume: 1 at: 2 - b: 2 + average: 1 + b: 7 black: 1 blue: 1 + can: 1 classdef: 1 command: 2 + computes: 1 + corresponding: 1 cyan: 1 + delay: 1 directory: 1 disp: 8 - end: 8 + element: 1 + end: 19 enumeration: 1 + error: 1 example: 2 - function: 4 + filter: 2 + filtfcn: 2 + first: 1 + form: 1 + function: 10 g: 2 + getState: 1 green: 1 - in: 1 - is: 2 + handle: 1 + have: 1 + if: 1 + iirFilter: 1 + in: 2 + input: 1 + internal: 2 + is: 5 + it: 2 + length.: 1 line: 2 - line.: 2 + line.: 3 + m: 3 magenta: 1 + makeFilter: 1 mandatory: 2 matlab_class: 2 matlab_function: 4 + mean: 1 methods: 1 + n: 3 + new: 1 not: 2 num2str: 3 obj: 2 obj.B: 2 obj.G: 2 obj.R: 2 - of: 3 + of: 6 only: 2 or: 1 output: 2 @@ -9196,22 +9239,44 @@ tokens: resides: 1 result: 4 ret: 3 - same: 1 + return: 1 + returns: 2 + s: 1 + same: 3 script: 2 semicolon: 2 + simpler: 1 + size: 2 spaces: 1 - sum: 1 + state: 2 + state.: 1 + statefcn: 2 + sum: 2 suppresses: 2 tabs: 1 - the: 1 + that: 2 + the: 9 + time.: 1 to: 2 + v: 10 + vOut: 2 + value: 1 value1: 5 value2: 5 + vector: 3 + vector.: 1 + where: 1 which: 1 white: 1 whitespace: 1 with: 1 + x: 4 + xn: 4 + y: 2 yellow: 1 + yn: 2 + zeros: 1 + "|": 2 Nemerle: (: 2 ): 2 diff --git a/test/fixtures/matlab/average.m b/test/fixtures/matlab/average.m new file mode 100644 index 0000000..65eef8b --- /dev/null +++ b/test/fixtures/matlab/average.m @@ -0,0 +1,9 @@ +function y = average(x) +% AVERAGE Mean of vector elements. +% AVERAGE(X), where X is a vector, is the mean of vector +% elements. Nonvector input results in an error. +[m,n] = size(x); +if (~((m == 1) | (n == 1)) | (m == 1 & n == 1)) + error('Input must be a vector') +end +y = sum(x)/length(x); diff --git a/test/fixtures/matlab/make_filter.m b/test/fixtures/matlab/make_filter.m new file mode 100644 index 0000000..3ad6c5c --- /dev/null +++ b/test/fixtures/matlab/make_filter.m @@ -0,0 +1,38 @@ +function [filtfcn, statefcn] = makeFilter(b, a) +% FILTFCN = MAKEFILTER(B, A) creates an IIR filtering +% function and returns it in the form of a function handle, +% FILTFCN. Each time you call FILTFCN with a new filter +% input value, it computes the corresponding new filter +% output value, updating its internal state vector at the +% same time. +% +% [FILTFCN, STATEFCN] = MAKEFILTER(B, A) also returns a +% function (in the form of a function handle, STATEFCN) +% that can return the filter's internal state. The internal +% state vector is in the form of a transposed direct form +% II delay line. + +% Initialize state vector. To keep this example a bit +% simpler, assume that a and b have the same length. +% Also assume that a(1) is 1. + +v = zeros(size(a)); + +filtfcn = @iirFilter; +statefcn = @getState; + + function yn = iirFilter(xn) + % Update the state vector + v(1) = v(2) + b(1) * xn; + v(2:end-1) = v(3:end) + b(2:end-1) * xn - ... + a(2:end-1) * v(1); + v(end) = b(end) * xn - a(end) * v(1); + + % Output is the first element of the state vector. + yn = v(1); + end + + function vOut = getState + vOut = v; + end +end |