trash_parallelism 0.1.102

Azzybana Raccoon's comprehensive parallelism library.
Documentation
<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `src\io\parallelism.rs`."><title>parallelism.rs - source</title><script>if(window.location.protocol!=="file:")document.head.insertAdjacentHTML("beforeend","SourceSerif4-Regular-6b053e98.ttf.woff2,FiraSans-Italic-81dc35de.woff2,FiraSans-Regular-0fe48ade.woff2,FiraSans-MediumItalic-ccf7e434.woff2,FiraSans-Medium-e1aa3f0a.woff2,SourceCodePro-Regular-8badfe75.ttf.woff2,SourceCodePro-Semibold-aa29a496.ttf.woff2".split(",").map(f=>`<link rel="preload" as="font" type="font/woff2"href="../../../static.files/${f}">`).join(""))</script><link rel="stylesheet" href="../../../static.files/normalize-9960930a.css"><link rel="stylesheet" href="../../../static.files/rustdoc-ca0dd0c4.css"><script id="default-settings" 
data-use_system_theme="false"
data-theme="trash"></script><meta name="rustdoc-vars" data-root-path="../../../" data-static-root-path="../../../static.files/" data-current-crate="trash_utilities" data-themes="trash" data-resource-suffix="" data-rustdoc-version="1.92.0-nightly (b925a865e 2025-10-09)" data-channel="nightly" data-search-js="search-8d3311b9.js" data-stringdex-js="stringdex-828709d0.js" data-settings-js="settings-c38705f0.js" ><script src="../../../static.files/storage-e2aeef58.js"></script><script defer src="../../../static.files/src-script-813739b1.js"></script><script defer src="../../../src-files.js"></script><script defer src="../../../static.files/main-ce535bd0.js"></script><noscript><link rel="stylesheet" href="../../../static.files/noscript-263c88ec.css"></noscript><link rel="alternate icon" type="image/png" href="../../../static.files/favicon-32x32-eab170b8.png"><link rel="icon" type="image/svg+xml" href="../../../static.files/favicon-044be391.svg"></head><body class="rustdoc src"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><div class="src-sidebar-title"><h2>Files</h2></div></nav><div class="sidebar-resizer" title="Drag to resize sidebar"></div><main><section id="main-content" class="content"><div class="main-heading"><h1><div class="sub-heading">trash_utilities\io/</div>parallelism.rs</h1><rustdoc-toolbar></rustdoc-toolbar></div><div class="example-wrap digits-3"><pre class="rust"><code><a href=#1 id=1 data-nosnippet>1</a><span class="doccomment">//! Parallel I/O processing utilities.
<a href=#2 id=2 data-nosnippet>2</a>//!
<a href=#3 id=3 data-nosnippet>3</a>//! This module provides parallel processing capabilities for I/O operations,
<a href=#4 id=4 data-nosnippet>4</a>//! leveraging the existing parallel module for efficient concurrent file processing.
<a href=#5 id=5 data-nosnippet>5</a>//!
<a href=#6 id=6 data-nosnippet>6</a>//! ## Features
<a href=#7 id=7 data-nosnippet>7</a>//!
<a href=#8 id=8 data-nosnippet>8</a>//! - **Parallel File Processing**: Process multiple files concurrently using work queues
<a href=#9 id=9 data-nosnippet>9</a>//! - **Batch Operations**: Map and filter operations on file collections
<a href=#10 id=10 data-nosnippet>10</a>//! - **Integration**: Uses existing parallel module to avoid duplication
<a href=#11 id=11 data-nosnippet>11</a>//! - **Async Support**: Non-blocking parallel operations with smol
<a href=#12 id=12 data-nosnippet>12</a>
<a href=#13 id=13 data-nosnippet>13</a></span><span class="comment">// Standard library imports
<a href=#14 id=14 data-nosnippet>14</a>// (none needed)
<a href=#15 id=15 data-nosnippet>15</a>
<a href=#16 id=16 data-nosnippet>16</a>// External crate imports
<a href=#17 id=17 data-nosnippet>17</a>// (none needed)
<a href=#18 id=18 data-nosnippet>18</a>
<a href=#19 id=19 data-nosnippet>19</a></span><span class="doccomment">/// Parallel map using the existing parallel module
<a href=#20 id=20 data-nosnippet>20</a>///
<a href=#21 id=21 data-nosnippet>21</a>/// Leverages `crate::parallel::parallel_map` for consistent parallel processing.
<a href=#22 id=22 data-nosnippet>22</a>/// This avoids duplicating parallel logic across modules.
<a href=#23 id=23 data-nosnippet>23</a>///
<a href=#24 id=24 data-nosnippet>24</a>/// # Type Parameters
<a href=#25 id=25 data-nosnippet>25</a>/// - `T`: Input type that can be sent across threads
<a href=#26 id=26 data-nosnippet>26</a>/// - `U`: Output type that can be sent across threads
<a href=#27 id=27 data-nosnippet>27</a>/// - `F`: Function type for transformation
<a href=#28 id=28 data-nosnippet>28</a>///
<a href=#29 id=29 data-nosnippet>29</a>/// # Parameters
<a href=#30 id=30 data-nosnippet>30</a>/// - `data`: Vector of input items to process
<a href=#31 id=31 data-nosnippet>31</a>/// - `f`: Function to apply to each item
<a href=#32 id=32 data-nosnippet>32</a>///
<a href=#33 id=33 data-nosnippet>33</a>/// # Returns
<a href=#34 id=34 data-nosnippet>34</a>/// Vector of transformed results in the same order as input
<a href=#35 id=35 data-nosnippet>35</a></span><span class="attr">#[must_use]
<a href=#36 id=36 data-nosnippet>36</a></span><span class="kw">pub fn </span>parallel_map&lt;T, U, F&gt;(data: Vec&lt;T&gt;, f: F) -&gt; Vec&lt;U&gt;
<a href=#37 id=37 data-nosnippet>37</a><span class="kw">where
<a href=#38 id=38 data-nosnippet>38</a>    </span>T: Send,
<a href=#39 id=39 data-nosnippet>39</a>    U: Send,
<a href=#40 id=40 data-nosnippet>40</a>    F: Fn(T) -&gt; U + Send + Sync,
<a href=#41 id=41 data-nosnippet>41</a>{
<a href=#42 id=42 data-nosnippet>42</a>    <span class="comment">// Leverage existing parallel module
<a href=#43 id=43 data-nosnippet>43</a>    </span><span class="kw">crate</span>::parallel::parallel_map(data, f)
<a href=#44 id=44 data-nosnippet>44</a>}
<a href=#45 id=45 data-nosnippet>45</a>
<a href=#46 id=46 data-nosnippet>46</a><span class="doccomment">/// Parallel filter using the existing parallel module
<a href=#47 id=47 data-nosnippet>47</a>///
<a href=#48 id=48 data-nosnippet>48</a>/// Uses `crate::parallel::parallel_filter` for consistent filtering behavior.
<a href=#49 id=49 data-nosnippet>49</a>///
<a href=#50 id=50 data-nosnippet>50</a>/// # Type Parameters
<a href=#51 id=51 data-nosnippet>51</a>/// - `T`: Item type that can be sent across threads
<a href=#52 id=52 data-nosnippet>52</a>/// - `F`: Predicate function type
<a href=#53 id=53 data-nosnippet>53</a>///
<a href=#54 id=54 data-nosnippet>54</a>/// # Parameters
<a href=#55 id=55 data-nosnippet>55</a>/// - `data`: Vector of items to filter
<a href=#56 id=56 data-nosnippet>56</a>/// - `f`: Predicate function that returns true for items to keep
<a href=#57 id=57 data-nosnippet>57</a>///
<a href=#58 id=58 data-nosnippet>58</a>/// # Returns
<a href=#59 id=59 data-nosnippet>59</a>/// Vector containing only items that passed the filter
<a href=#60 id=60 data-nosnippet>60</a></span><span class="attr">#[must_use]
<a href=#61 id=61 data-nosnippet>61</a></span><span class="kw">pub fn </span>parallel_filter&lt;T, F&gt;(data: Vec&lt;T&gt;, f: F) -&gt; Vec&lt;T&gt;
<a href=#62 id=62 data-nosnippet>62</a><span class="kw">where
<a href=#63 id=63 data-nosnippet>63</a>    </span>T: Send + Sync,
<a href=#64 id=64 data-nosnippet>64</a>    F: Fn(<span class="kw-2">&amp;</span>T) -&gt; bool + Send + Sync,
<a href=#65 id=65 data-nosnippet>65</a>{
<a href=#66 id=66 data-nosnippet>66</a>    <span class="comment">// Leverage existing parallel module
<a href=#67 id=67 data-nosnippet>67</a>    </span><span class="kw">crate</span>::parallel::parallel_filter(data, f)
<a href=#68 id=68 data-nosnippet>68</a>}
<a href=#69 id=69 data-nosnippet>69</a>
<a href=#70 id=70 data-nosnippet>70</a><span class="doccomment">/// Asynchronously process multiple files in parallel
<a href=#71 id=71 data-nosnippet>71</a>///
<a href=#72 id=72 data-nosnippet>72</a>/// Enhanced version that leverages the parallel module and async I/O utilities.
<a href=#73 id=73 data-nosnippet>73</a>/// Uses work queues for load balancing and efficient resource utilization.
<a href=#74 id=74 data-nosnippet>74</a>///
<a href=#75 id=75 data-nosnippet>75</a>/// # Type Parameters
<a href=#76 id=76 data-nosnippet>76</a>/// - `F`: Processor function type
<a href=#77 id=77 data-nosnippet>77</a>/// - `R`: Result type from processing
<a href=#78 id=78 data-nosnippet>78</a>///
<a href=#79 id=79 data-nosnippet>79</a>/// # Parameters
<a href=#80 id=80 data-nosnippet>80</a>/// - `paths`: Vector of file paths to process
<a href=#81 id=81 data-nosnippet>81</a>/// - `processor`: Function that takes file content and returns a result
<a href=#82 id=82 data-nosnippet>82</a>///
<a href=#83 id=83 data-nosnippet>83</a>/// # Returns
<a href=#84 id=84 data-nosnippet>84</a>/// Vector of results in the same order as input paths
<a href=#85 id=85 data-nosnippet>85</a>///
<a href=#86 id=86 data-nosnippet>86</a>/// # Errors
<a href=#87 id=87 data-nosnippet>87</a>/// Returns error for any file that couldn't be read or processed
<a href=#88 id=88 data-nosnippet>88</a></span><span class="attr">#[must_use]
<a href=#89 id=89 data-nosnippet>89</a></span><span class="kw">pub fn </span>process_files_parallel&lt;F, R&gt;(
<a href=#90 id=90 data-nosnippet>90</a>    paths: Vec&lt;String&gt;,
<a href=#91 id=91 data-nosnippet>91</a>    processor: F,
<a href=#92 id=92 data-nosnippet>92</a>) -&gt; Vec&lt;<span class="prelude-ty">Result</span>&lt;R, std::io::Error&gt;&gt;
<a href=#93 id=93 data-nosnippet>93</a><span class="kw">where
<a href=#94 id=94 data-nosnippet>94</a>    </span>F: Fn(String) -&gt; <span class="prelude-ty">Result</span>&lt;R, std::io::Error&gt; + Send + Sync + Clone,
<a href=#95 id=95 data-nosnippet>95</a>    R: Send + <span class="lifetime">'static</span>,
<a href=#96 id=96 data-nosnippet>96</a>{
<a href=#97 id=97 data-nosnippet>97</a>    <span class="comment">// Use parallel processing with work distribution
<a href=#98 id=98 data-nosnippet>98</a>    </span><span class="kw">crate</span>::parallel::parallel_map(paths, |path| {
<a href=#99 id=99 data-nosnippet>99</a>        <span class="comment">// Read file content using our async utils
<a href=#100 id=100 data-nosnippet>100</a>        </span><span class="kw">match </span>std::fs::read_to_string(<span class="kw-2">&amp;</span>path) {
<a href=#101 id=101 data-nosnippet>101</a>            <span class="prelude-val">Ok</span>(content) =&gt; processor(content),
<a href=#102 id=102 data-nosnippet>102</a>            <span class="prelude-val">Err</span>(e) =&gt; <span class="prelude-val">Err</span>(e),
<a href=#103 id=103 data-nosnippet>103</a>        }
<a href=#104 id=104 data-nosnippet>104</a>    })
<a href=#105 id=105 data-nosnippet>105</a>}
<a href=#106 id=106 data-nosnippet>106</a>
<a href=#107 id=107 data-nosnippet>107</a><span class="doccomment">/// Process files with streaming and parallel chunking
<a href=#108 id=108 data-nosnippet>108</a>///
<a href=#109 id=109 data-nosnippet>109</a>/// Advanced file processing that reads files in chunks and processes them
<a href=#110 id=110 data-nosnippet>110</a>/// in parallel using the parallel module's chunking capabilities.
<a href=#111 id=111 data-nosnippet>111</a>///
<a href=#112 id=112 data-nosnippet>112</a>/// # Type Parameters
<a href=#113 id=113 data-nosnippet>113</a>/// - `F`: Processor function for individual chunks
<a href=#114 id=114 data-nosnippet>114</a>/// - `R`: Result type from chunk processing
<a href=#115 id=115 data-nosnippet>115</a>///
<a href=#116 id=116 data-nosnippet>116</a>/// # Parameters
<a href=#117 id=117 data-nosnippet>117</a>/// - `paths`: File paths to process
<a href=#118 id=118 data-nosnippet>118</a>/// - `chunk_size`: Size of each chunk in bytes
<a href=#119 id=119 data-nosnippet>119</a>/// - `processor`: Function to process each chunk
<a href=#120 id=120 data-nosnippet>120</a>///
<a href=#121 id=121 data-nosnippet>121</a>/// # Returns
<a href=#122 id=122 data-nosnippet>122</a>/// Vector of results for each file
<a href=#123 id=123 data-nosnippet>123</a>///
<a href=#124 id=124 data-nosnippet>124</a>/// # Errors
<a href=#125 id=125 data-nosnippet>125</a>/// Returns error if file reading or processing fails
<a href=#126 id=126 data-nosnippet>126</a></span><span class="kw">pub async fn </span>process_files_chunked&lt;F, R&gt;(
<a href=#127 id=127 data-nosnippet>127</a>    paths: Vec&lt;String&gt;,
<a href=#128 id=128 data-nosnippet>128</a>    chunk_size: usize,
<a href=#129 id=129 data-nosnippet>129</a>    processor: F,
<a href=#130 id=130 data-nosnippet>130</a>) -&gt; Vec&lt;<span class="prelude-ty">Result</span>&lt;Vec&lt;R&gt;, std::io::Error&gt;&gt;
<a href=#131 id=131 data-nosnippet>131</a><span class="kw">where
<a href=#132 id=132 data-nosnippet>132</a>    </span>F: Fn(Vec&lt;u8&gt;) -&gt; <span class="prelude-ty">Result</span>&lt;R, std::io::Error&gt; + Send + Sync + Clone,
<a href=#133 id=133 data-nosnippet>133</a>    R: Send + <span class="lifetime">'static</span>,
<a href=#134 id=134 data-nosnippet>134</a>{
<a href=#135 id=135 data-nosnippet>135</a>    <span class="comment">// Process each file, reading in chunks
<a href=#136 id=136 data-nosnippet>136</a>    </span><span class="kw">let </span><span class="kw-2">mut </span>results = Vec::new();
<a href=#137 id=137 data-nosnippet>137</a>
<a href=#138 id=138 data-nosnippet>138</a>    <span class="kw">for </span>path <span class="kw">in </span>paths {
<a href=#139 id=139 data-nosnippet>139</a>        <span class="kw">match </span><span class="kw">crate</span>::io::utils::read_file_bytes_async(<span class="kw-2">&amp;</span>path).<span class="kw">await </span>{
<a href=#140 id=140 data-nosnippet>140</a>            <span class="prelude-val">Ok</span>(data) =&gt; {
<a href=#141 id=141 data-nosnippet>141</a>                <span class="comment">// Split into chunks and process in parallel
<a href=#142 id=142 data-nosnippet>142</a>                </span><span class="kw">let </span>chunks: Vec&lt;Vec&lt;u8&gt;&gt; = data.chunks(chunk_size).map(&lt;[u8]&gt;::to_vec).collect();
<a href=#143 id=143 data-nosnippet>143</a>
<a href=#144 id=144 data-nosnippet>144</a>                <span class="kw">let </span>chunk_results = <span class="kw">crate</span>::parallel::parallel_map(chunks, <span class="kw-2">&amp;</span>processor);
<a href=#145 id=145 data-nosnippet>145</a>
<a href=#146 id=146 data-nosnippet>146</a>                <span class="comment">// Collect results, propagating any errors
<a href=#147 id=147 data-nosnippet>147</a>                </span><span class="kw">let </span><span class="kw-2">mut </span>file_results = Vec::new();
<a href=#148 id=148 data-nosnippet>148</a>                <span class="kw">let </span><span class="kw-2">mut </span>has_error = <span class="bool-val">false</span>;
<a href=#149 id=149 data-nosnippet>149</a>                <span class="kw">let </span><span class="kw-2">mut </span>error = std::io::Error::other(<span class="string">"Processing error"</span>);
<a href=#150 id=150 data-nosnippet>150</a>
<a href=#151 id=151 data-nosnippet>151</a>                <span class="kw">for </span>result <span class="kw">in </span>chunk_results {
<a href=#152 id=152 data-nosnippet>152</a>                    <span class="kw">match </span>result {
<a href=#153 id=153 data-nosnippet>153</a>                        <span class="prelude-val">Ok</span>(r) =&gt; file_results.push(r),
<a href=#154 id=154 data-nosnippet>154</a>                        <span class="prelude-val">Err</span>(e) =&gt; {
<a href=#155 id=155 data-nosnippet>155</a>                            error = e;
<a href=#156 id=156 data-nosnippet>156</a>                            has_error = <span class="bool-val">true</span>;
<a href=#157 id=157 data-nosnippet>157</a>                            <span class="kw">break</span>;
<a href=#158 id=158 data-nosnippet>158</a>                        }
<a href=#159 id=159 data-nosnippet>159</a>                    }
<a href=#160 id=160 data-nosnippet>160</a>                }
<a href=#161 id=161 data-nosnippet>161</a>
<a href=#162 id=162 data-nosnippet>162</a>                <span class="kw">if </span>has_error {
<a href=#163 id=163 data-nosnippet>163</a>                    results.push(<span class="prelude-val">Err</span>(error));
<a href=#164 id=164 data-nosnippet>164</a>                } <span class="kw">else </span>{
<a href=#165 id=165 data-nosnippet>165</a>                    results.push(<span class="prelude-val">Ok</span>(file_results));
<a href=#166 id=166 data-nosnippet>166</a>                }
<a href=#167 id=167 data-nosnippet>167</a>            }
<a href=#168 id=168 data-nosnippet>168</a>            <span class="prelude-val">Err</span>(e) =&gt; results.push(<span class="prelude-val">Err</span>(e)),
<a href=#169 id=169 data-nosnippet>169</a>        }
<a href=#170 id=170 data-nosnippet>170</a>    }
<a href=#171 id=171 data-nosnippet>171</a>
<a href=#172 id=172 data-nosnippet>172</a>    results
<a href=#173 id=173 data-nosnippet>173</a>}
<a href=#174 id=174 data-nosnippet>174</a>
<a href=#175 id=175 data-nosnippet>175</a><span class="doccomment">/// Parallel directory traversal with processing
<a href=#176 id=176 data-nosnippet>176</a>///
<a href=#177 id=177 data-nosnippet>177</a>/// Recursively traverses directories and processes files in parallel.
<a href=#178 id=178 data-nosnippet>178</a>/// Uses the parallel module for efficient work distribution.
<a href=#179 id=179 data-nosnippet>179</a>///
<a href=#180 id=180 data-nosnippet>180</a>/// # Type Parameters
<a href=#181 id=181 data-nosnippet>181</a>/// - `F`: File processor function type
<a href=#182 id=182 data-nosnippet>182</a>/// - `R`: Result type from processing
<a href=#183 id=183 data-nosnippet>183</a>///
<a href=#184 id=184 data-nosnippet>184</a>/// # Parameters
<a href=#185 id=185 data-nosnippet>185</a>/// - `root_path`: Root directory to start traversal
<a href=#186 id=186 data-nosnippet>186</a>/// - `file_processor`: Function to process each file
<a href=#187 id=187 data-nosnippet>187</a>/// - `max_depth`: Maximum directory depth to traverse (None for unlimited)
<a href=#188 id=188 data-nosnippet>188</a>///
<a href=#189 id=189 data-nosnippet>189</a>/// # Returns
<a href=#190 id=190 data-nosnippet>190</a>/// Vector of processing results for all files found
<a href=#191 id=191 data-nosnippet>191</a>///
<a href=#192 id=192 data-nosnippet>192</a>/// # Errors
<a href=#193 id=193 data-nosnippet>193</a>/// Returns errors for files that couldn't be read or processed
<a href=#194 id=194 data-nosnippet>194</a></span><span class="kw">pub fn </span>traverse_and_process&lt;F, R&gt;(
<a href=#195 id=195 data-nosnippet>195</a>    root_path: <span class="kw-2">&amp;</span>str,
<a href=#196 id=196 data-nosnippet>196</a>    file_processor: F,
<a href=#197 id=197 data-nosnippet>197</a>    max_depth: <span class="prelude-ty">Option</span>&lt;usize&gt;,
<a href=#198 id=198 data-nosnippet>198</a>) -&gt; <span class="prelude-ty">Result</span>&lt;Vec&lt;<span class="prelude-ty">Result</span>&lt;R, std::io::Error&gt;&gt;, std::io::Error&gt;
<a href=#199 id=199 data-nosnippet>199</a><span class="kw">where
<a href=#200 id=200 data-nosnippet>200</a>    </span>F: Fn(String, String) -&gt; <span class="prelude-ty">Result</span>&lt;R, std::io::Error&gt; + Send + Sync + Clone,
<a href=#201 id=201 data-nosnippet>201</a>    R: Send + <span class="lifetime">'static</span>,
<a href=#202 id=202 data-nosnippet>202</a>{
<a href=#203 id=203 data-nosnippet>203</a>    <span class="kw">let </span><span class="kw-2">mut </span>all_files = Vec::new();
<a href=#204 id=204 data-nosnippet>204</a>    collect_files_recursive(root_path, <span class="kw-2">&amp;mut </span>all_files, <span class="number">0</span>, max_depth)<span class="question-mark">?</span>;
<a href=#205 id=205 data-nosnippet>205</a>
<a href=#206 id=206 data-nosnippet>206</a>    <span class="comment">// Process all files in parallel
<a href=#207 id=207 data-nosnippet>207</a>    </span><span class="kw">let </span>results =
<a href=#208 id=208 data-nosnippet>208</a>        <span class="kw">crate</span>::parallel::parallel_map(all_files, |(path, content)| file_processor(path, content));
<a href=#209 id=209 data-nosnippet>209</a>
<a href=#210 id=210 data-nosnippet>210</a>    <span class="prelude-val">Ok</span>(results)
<a href=#211 id=211 data-nosnippet>211</a>}
<a href=#212 id=212 data-nosnippet>212</a>
<a href=#213 id=213 data-nosnippet>213</a><span class="doccomment">/// Helper function to recursively collect files
<a href=#214 id=214 data-nosnippet>214</a></span><span class="kw">fn </span>collect_files_recursive(
<a href=#215 id=215 data-nosnippet>215</a>    path: <span class="kw-2">&amp;</span>str,
<a href=#216 id=216 data-nosnippet>216</a>    files: <span class="kw-2">&amp;mut </span>Vec&lt;(String, String)&gt;,
<a href=#217 id=217 data-nosnippet>217</a>    current_depth: usize,
<a href=#218 id=218 data-nosnippet>218</a>    max_depth: <span class="prelude-ty">Option</span>&lt;usize&gt;,
<a href=#219 id=219 data-nosnippet>219</a>) -&gt; <span class="prelude-ty">Result</span>&lt;(), std::io::Error&gt; {
<a href=#220 id=220 data-nosnippet>220</a>    <span class="kw">if </span>max_depth.is_some_and(|max| current_depth &gt; max) {
<a href=#221 id=221 data-nosnippet>221</a>        <span class="kw">return </span><span class="prelude-val">Ok</span>(());
<a href=#222 id=222 data-nosnippet>222</a>    }
<a href=#223 id=223 data-nosnippet>223</a>
<a href=#224 id=224 data-nosnippet>224</a>    <span class="kw">let </span>entries = std::fs::read_dir(path)<span class="question-mark">?</span>;
<a href=#225 id=225 data-nosnippet>225</a>
<a href=#226 id=226 data-nosnippet>226</a>    <span class="kw">for </span>entry <span class="kw">in </span>entries {
<a href=#227 id=227 data-nosnippet>227</a>        <span class="kw">let </span>entry = entry<span class="question-mark">?</span>;
<a href=#228 id=228 data-nosnippet>228</a>        <span class="kw">let </span>full_path = entry.path().to_string_lossy().to_string();
<a href=#229 id=229 data-nosnippet>229</a>
<a href=#230 id=230 data-nosnippet>230</a>        <span class="comment">// Check if it's a file or directory
<a href=#231 id=231 data-nosnippet>231</a>        </span><span class="kw">if let </span><span class="prelude-val">Ok</span>(metadata) = entry.metadata() {
<a href=#232 id=232 data-nosnippet>232</a>            <span class="kw">if </span>metadata.is_file() {
<a href=#233 id=233 data-nosnippet>233</a>                <span class="comment">// Read file content
<a href=#234 id=234 data-nosnippet>234</a>                </span><span class="kw">if let </span><span class="prelude-val">Ok</span>(content) = std::fs::read_to_string(<span class="kw-2">&amp;</span>full_path) {
<a href=#235 id=235 data-nosnippet>235</a>                    files.push((full_path, content));
<a href=#236 id=236 data-nosnippet>236</a>                }
<a href=#237 id=237 data-nosnippet>237</a>                <span class="comment">// Skip files we can't read
<a href=#238 id=238 data-nosnippet>238</a>            </span>} <span class="kw">else if </span>metadata.is_dir() {
<a href=#239 id=239 data-nosnippet>239</a>                <span class="comment">// Recurse into directory
<a href=#240 id=240 data-nosnippet>240</a>                </span>collect_files_recursive(<span class="kw-2">&amp;</span>full_path, files, current_depth + <span class="number">1</span>, max_depth)<span class="question-mark">?</span>;
<a href=#241 id=241 data-nosnippet>241</a>            }
<a href=#242 id=242 data-nosnippet>242</a>        }
<a href=#243 id=243 data-nosnippet>243</a>    }
<a href=#244 id=244 data-nosnippet>244</a>
<a href=#245 id=245 data-nosnippet>245</a>    <span class="prelude-val">Ok</span>(())
<a href=#246 id=246 data-nosnippet>246</a>}
<a href=#247 id=247 data-nosnippet>247</a>
<a href=#248 id=248 data-nosnippet>248</a><span class="doccomment">/// Batch file operations with rollback support
<a href=#249 id=249 data-nosnippet>249</a>///
<a href=#250 id=250 data-nosnippet>250</a>/// Performs multiple file operations in parallel, with the ability to rollback
<a href=#251 id=251 data-nosnippet>251</a>/// changes if any operation fails. Uses the parallel module for concurrent execution.
<a href=#252 id=252 data-nosnippet>252</a>///
<a href=#253 id=253 data-nosnippet>253</a>/// # Type Parameters
<a href=#254 id=254 data-nosnippet>254</a>/// - `F`: Operation function type
<a href=#255 id=255 data-nosnippet>255</a>///
<a href=#256 id=256 data-nosnippet>256</a>/// # Parameters
<a href=#257 id=257 data-nosnippet>257</a>/// - `operations`: Vector of operations to perform
<a href=#258 id=258 data-nosnippet>258</a>/// - `rollback_on_error`: Whether to rollback successful operations if any fail
<a href=#259 id=259 data-nosnippet>259</a>///
<a href=#260 id=260 data-nosnippet>260</a>/// # Returns
<a href=#261 id=261 data-nosnippet>261</a>/// Result indicating success or failure of the batch operation
<a href=#262 id=262 data-nosnippet>262</a>///
<a href=#263 id=263 data-nosnippet>263</a>/// # Errors
<a href=#264 id=264 data-nosnippet>264</a>/// Returns an error if any operation fails and rollback is requested
<a href=#265 id=265 data-nosnippet>265</a></span><span class="kw">pub fn </span>batch_file_operations&lt;F&gt;(
<a href=#266 id=266 data-nosnippet>266</a>    operations: Vec&lt;F&gt;,
<a href=#267 id=267 data-nosnippet>267</a>    rollback_on_error: bool,
<a href=#268 id=268 data-nosnippet>268</a>) -&gt; <span class="prelude-ty">Result</span>&lt;(), std::io::Error&gt;
<a href=#269 id=269 data-nosnippet>269</a><span class="kw">where
<a href=#270 id=270 data-nosnippet>270</a>    </span>F: Fn() -&gt; <span class="prelude-ty">Result</span>&lt;(), std::io::Error&gt; + Send + Sync,
<a href=#271 id=271 data-nosnippet>271</a>{
<a href=#272 id=272 data-nosnippet>272</a>    <span class="comment">// Execute operations in parallel
<a href=#273 id=273 data-nosnippet>273</a>    </span><span class="kw">let </span>results = <span class="kw">crate</span>::parallel::parallel_map(operations, |op| op());
<a href=#274 id=274 data-nosnippet>274</a>
<a href=#275 id=275 data-nosnippet>275</a>    <span class="comment">// Check for errors
<a href=#276 id=276 data-nosnippet>276</a>    </span><span class="kw">let </span><span class="kw-2">mut </span>errors = Vec::new();
<a href=#277 id=277 data-nosnippet>277</a>    <span class="kw">for </span>result <span class="kw">in </span>results {
<a href=#278 id=278 data-nosnippet>278</a>        <span class="kw">if let </span><span class="prelude-val">Err</span>(e) = result {
<a href=#279 id=279 data-nosnippet>279</a>            errors.push(e);
<a href=#280 id=280 data-nosnippet>280</a>        }
<a href=#281 id=281 data-nosnippet>281</a>    }
<a href=#282 id=282 data-nosnippet>282</a>
<a href=#283 id=283 data-nosnippet>283</a>    <span class="kw">if </span>!errors.is_empty() &amp;&amp; rollback_on_error {
<a href=#284 id=284 data-nosnippet>284</a>        <span class="comment">// TODO: Implement rollback logic based on operation types
<a href=#285 id=285 data-nosnippet>285</a>        // This would require tracking what operations were successful
<a href=#286 id=286 data-nosnippet>286</a>        </span><span class="kw">return </span><span class="prelude-val">Err</span>(std::io::Error::other(<span class="macro">format!</span>(
<a href=#287 id=287 data-nosnippet>287</a>            <span class="string">"Batch operation failed with {} errors"</span>,
<a href=#288 id=288 data-nosnippet>288</a>            errors.len()
<a href=#289 id=289 data-nosnippet>289</a>        )));
<a href=#290 id=290 data-nosnippet>290</a>    }
<a href=#291 id=291 data-nosnippet>291</a>
<a href=#292 id=292 data-nosnippet>292</a>    <span class="prelude-val">Ok</span>(())
<a href=#293 id=293 data-nosnippet>293</a>}</code></pre></div></section></main></body></html>