Merge pull request #23 from HanSur94/feat/install-script

Replace setup.m with install.m for one-time installation

Author: HanSur94

benchmarks/benchmark.m

@@ -10,7 +10,7 @@
 %   4. Linked axes with automatic re-downsample
 % In MATLAB (with JIT compilation), the downsampling cost is much lower.
 
-addpath(fullfile(fileparts(mfilename('fullpath')), '..'));setup();
+addpath(fullfile(fileparts(mfilename('fullpath')), '..'));install();
 addpath(fullfile(fileparts(mfilename('fullpath')), '..', 'libs', 'FastSense', 'private'));
 
 sizes = [1e4, 1e5, 1e6, 5e6, 10e6, 50e6];

benchmarks/benchmark_datastore.m

@@ -4,7 +4,7 @@ function benchmark_datastore()
 %   and disk footprint across multiple dataset sizes up to 500M points.
 
     addpath(fullfile(fileparts(mfilename('fullpath')), '..'));
-    setup();
+    install();
 
     sizes = [1e4, 1e5, 1e6, 5e6, 10e6, 50e6, 100e6, 200e6, 500e6];
     labels = {'10K', '100K', '1M', '5M', '10M', '50M', '100M', '200M', '500M'};

benchmarks/benchmark_features.m

@@ -10,7 +10,7 @@
 %   6. FastSenseGrid tiled dashboard overhead
 %   7. Combined: all features together vs baseline
 
-addpath(fullfile(fileparts(mfilename('fullpath')), '..'));setup();
+addpath(fullfile(fileparts(mfilename('fullpath')), '..'));install();
 addpath(fullfile(fileparts(mfilename('fullpath')), '..', 'libs', 'FastSense', 'private'));
 
 sizes  = [1e4, 1e5, 1e6, 5e6, 10e6];

benchmarks/benchmark_memory.m

@@ -11,7 +11,7 @@ function benchmark_memory()
 %   Example:
 %     benchmark_memory();
 
-    addpath(fullfile(fileparts(mfilename('fullpath')), '..'));setup();
+    addpath(fullfile(fileparts(mfilename('fullpath')), '..'));install();
 
     fprintf('=== FastSense Memory Benchmark ===\n\n');
 

benchmarks/benchmark_resolve.m

@@ -7,7 +7,7 @@ function benchmark_resolve()
     test_dir = fileparts(mfilename('fullpath'));
     repo_root = fileparts(test_dir);
     addpath(repo_root);
-    setup();
+    install();
 
     sizes = [1e4, 1e5, 1e6, 1e7, 1e8];
     naiveMaxN = Inf;  % run naive for all sizes

benchmarks/benchmark_zoom.m

@@ -2,7 +2,7 @@
 % Measures per-frame latency for individual zoom and pan operations.
 % Forces GPU flush with getframe() to get true frame delivery time.
 
-addpath(fullfile(fileparts(mfilename('fullpath')), '..'));setup();
+addpath(fullfile(fileparts(mfilename('fullpath')), '..'));install();
 addpath(fullfile(fileparts(mfilename('fullpath')), '..', 'libs', 'FastSense', 'private'));
 
 sizes = [1e5, 1e6, 10e6, 50e6];

benchmarks/profile_datastore.m

@@ -6,7 +6,7 @@ function profile_datastore()
 %     3. Full render with disk-backed lines
 %     4. Zoom/pan re-downsample cycle
 
-    addpath(fullfile(fileparts(mfilename('fullpath')), '..'));setup();
+    addpath(fullfile(fileparts(mfilename('fullpath')), '..'));install();
 
     n = 5e6;  % 5M points — enough to see bottlenecks, fast enough to iterate
     fprintf('Generating %dM points...\n', n/1e6);

docs/generate_readme_images.m

@@ -1,6 +1,6 @@
 % generate_readme_images.m — Generate README screenshots for FastSense features
 % Run from the FastSense root directory:
-%   octave --no-gui --eval "setup; run('docs/generate_readme_images.m')"
+%   octave --no-gui --eval "install; run('docs/generate_readme_images.m')"
 
 img_dir = fullfile(fileparts(mfilename('fullpath')), 'images');
 if ~exist(img_dir, 'dir'); mkdir(img_dir); end