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refactor distributions
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@PauloCampana
PauloCampana committed Jan 7, 2024
1 parent 427b642 commit cf59236
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Showing 55 changed files with 6,547 additions and 2,195 deletions.
7 changes: 6 additions & 1 deletion build.zig
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Expand Up @@ -25,8 +25,13 @@ pub fn build(b: *std.Build) !void {
const test_step = b.step("test", "Run library tests");
test_step.dependOn(&test_cmd.step);

const docs_tests = b.addTest(.{
.root_source_file = .{.path = "src/root.zig"},
.target = target,
.optimize = optimize,
});
const docs_cmd = b.addInstallDirectory(.{
.source_dir = lib.getEmittedDocs(),
.source_dir = docs_tests.getEmittedDocs(),
.install_dir = .{.custom = ".."},
.install_subdir = "docs",
});
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2 changes: 1 addition & 1 deletion docs/data-astNodes.js
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2 changes: 1 addition & 1 deletion docs/data-calls.js
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2 changes: 1 addition & 1 deletion docs/data-comptimeExprs.js
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2 changes: 1 addition & 1 deletion docs/data-decls.js
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2 changes: 1 addition & 1 deletion docs/data-exprs.js
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2 changes: 1 addition & 1 deletion docs/data-files.js
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2 changes: 1 addition & 1 deletion docs/data-types.js
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9 changes: 6 additions & 3 deletions docs/src/builtin/builtin.zig.html
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Expand Up @@ -119,9 +119,9 @@
<span class="line" id="L5"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> zig_version_string = <span class="tok-str">&quot;0.12.0-dev.2046+d3a163f86&quot;</span>;</span>
<span class="line" id="L6"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> zig_backend = std.builtin.CompilerBackend.stage2_llvm;</span>
<span class="line" id="L7"></span>
<span class="line" id="L8"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> output_mode = std.builtin.OutputMode.Lib;</span>
<span class="line" id="L8"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> output_mode = std.builtin.OutputMode.Exe;</span>
<span class="line" id="L9"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> link_mode = std.builtin.LinkMode.Static;</span>
<span class="line" id="L10"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> is_test = <span class="tok-null">false</span>;</span>
<span class="line" id="L10"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> is_test = <span class="tok-null">true</span>;</span>
<span class="line" id="L11"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> single_threaded = <span class="tok-null">false</span>;</span>
<span class="line" id="L12"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> abi = std.Target.Abi.gnu;</span>
<span class="line" id="L13"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> cpu: std.Target.Cpu = .{</span>
Expand Down Expand Up @@ -236,6 +236,9 @@
<span class="line" id="L122"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> strip_debug_info = <span class="tok-null">false</span>;</span>
<span class="line" id="L123"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> code_model = std.builtin.CodeModel.default;</span>
<span class="line" id="L124"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> omit_frame_pointer = <span class="tok-null">false</span>;</span>
<span class="line" id="L125"></span>
<span class="line" id="L125"><span class="tok-kw">pub</span> <span class="tok-kw">var</span> test_functions: []<span class="tok-kw">const</span> std.builtin.TestFn = <span class="tok-null">undefined</span>; <span class="tok-comment">// overwritten later</span>
</span>
<span class="line" id="L126"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> test_io_mode = .blocking;</span>
<span class="line" id="L127"></span>
</code></pre></body>
</html>
44 changes: 22 additions & 22 deletions docs/src/root/distribution.zig.html
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Expand Up @@ -118,29 +118,29 @@
<span class="line" id="L4"><span class="tok-comment">//! Asserts invalid distribution parameters on Debug and ReleaseSafe modes</span></span>
<span class="line" id="L5"><span class="tok-comment">//! such as ±NaN, ±Inf, probabilities outside of the [0,1] interval and</span></span>
<span class="line" id="L6"><span class="tok-comment">//! certain parameters with value zero or negative.</span></span>
<span class="line" id="L7"></span>
<span class="line" id="L8"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> density = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/density.zig&quot;</span>);</span>
<span class="line" id="L9"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> probability = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/probability.zig&quot;</span>);</span>
<span class="line" id="L10"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> quantile = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/quantile.zig&quot;</span>);</span>
<span class="line" id="L11"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> random = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/random.zig&quot;</span>);</span>
<span class="line" id="L7"><span class="tok-comment">//!</span></span>
<span class="line" id="L8"><span class="tok-comment">//! Random variable generation has 3 flavours: `single`, `buffer` and `alloc`,</span></span>
<span class="line" id="L9"><span class="tok-comment">//! `single` returns one generated number, `buffer` fills a slice with generated numbers,</span></span>
<span class="line" id="L10"><span class="tok-comment">//! `alloc` takes an allocator and the quantity to be generated then returns a heap allocated</span></span>
<span class="line" id="L11"><span class="tok-comment">//! slice, result must be freed by the caller.</span></span>
<span class="line" id="L12"></span>
<span class="line" id="L13"><span class="tok-kw">test</span> density {</span>
<span class="line" id="L14"> _ = density.normal(<span class="tok-number">3</span>, <span class="tok-number">0</span>, <span class="tok-number">1</span>);</span>
<span class="line" id="L15"> _ = density.gamma(<span class="tok-number">10</span>, <span class="tok-number">3</span>, <span class="tok-number">5</span>);</span>
<span class="line" id="L16"> _ = density.binomial(<span class="tok-number">5</span>, <span class="tok-number">10</span>, <span class="tok-number">0.2</span>);</span>
<span class="line" id="L17">}</span>
<span class="line" id="L18"></span>
<span class="line" id="L19"><span class="tok-kw">test</span> probability {</span>
<span class="line" id="L20"> _ = probability.normal(<span class="tok-number">3</span>, <span class="tok-number">0</span>, <span class="tok-number">1</span>);</span>
<span class="line" id="L21"> _ = probability.gamma(<span class="tok-number">10</span>, <span class="tok-number">3</span>, <span class="tok-number">5</span>);</span>
<span class="line" id="L22"> _ = probability.binomial(<span class="tok-number">5</span>, <span class="tok-number">10</span>, <span class="tok-number">0.2</span>);</span>
<span class="line" id="L23">}</span>
<span class="line" id="L24"></span>
<span class="line" id="L25"><span class="tok-kw">test</span> quantile {</span>
<span class="line" id="L26"> _ = quantile.normal(<span class="tok-number">0.95</span>, <span class="tok-number">0</span>, <span class="tok-number">1</span>);</span>
<span class="line" id="L27"> _ = quantile.gamma(<span class="tok-number">0.95</span>, <span class="tok-number">3</span>, <span class="tok-number">5</span>);</span>
<span class="line" id="L28"> _ = quantile.binomial(<span class="tok-number">0.95</span>, <span class="tok-number">10</span>, <span class="tok-number">0.2</span>);</span>
<span class="line" id="L29">}</span>
<span class="line" id="L13"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> bernoulli = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/bernoulli.zig&quot;</span>);</span>
<span class="line" id="L14"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> geometric = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/geometric.zig&quot;</span>);</span>
<span class="line" id="L15"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> poisson = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/poisson.zig&quot;</span>);</span>
<span class="line" id="L16"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> binomial = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/binomial.zig&quot;</span>);</span>
<span class="line" id="L17"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> negativeBinomial = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/negativeBinomial.zig&quot;</span>);</span>
<span class="line" id="L18"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> uniform = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/uniform.zig&quot;</span>);</span>
<span class="line" id="L19"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> exponential = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/exponential.zig&quot;</span>);</span>
<span class="line" id="L20"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> weibull = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/weibull.zig&quot;</span>);</span>
<span class="line" id="L21"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> cauchy = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/cauchy.zig&quot;</span>);</span>
<span class="line" id="L22"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> logistic = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/logistic.zig&quot;</span>);</span>
<span class="line" id="L23"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> gamma = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/gamma.zig&quot;</span>);</span>
<span class="line" id="L24"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> chiSquared = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/chiSquared.zig&quot;</span>);</span>
<span class="line" id="L25"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> f = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/f.zig&quot;</span>);</span>
<span class="line" id="L26"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> beta = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/beta.zig&quot;</span>);</span>
<span class="line" id="L27"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> normal = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/normal.zig&quot;</span>);</span>
<span class="line" id="L28"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> logNormal = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/logNormal.zig&quot;</span>);</span>
<span class="line" id="L29"><span class="tok-kw">pub</span> <span class="tok-kw">const</span> t = <span class="tok-builtin">@import</span>(<span class="tok-str">&quot;distribution/t.zig&quot;</span>);</span>
<span class="line" id="L30"></span>
</code></pre></body>
</html>
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