### Installing CircleCI CLI on Linux Source: https://github.com/provablehq/leo/blob/mainnet/DEVELOPMENT.md These commands install Docker and the CircleCI CLI on Linux using Snap, a universal package manager, and then connect the CircleCI CLI to Docker for proper functionality. ```Shell sudo snap install docker circleci sudo snap connect circleci:docker docker ``` -------------------------------- ### Installing Rustup on macOS/Linux Source: https://github.com/provablehq/leo/blob/mainnet/README.md This command installs `rustup`, the Rust toolchain installer, on macOS or Linux systems by downloading and executing the installation script via curl. ```bash curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh ``` -------------------------------- ### Installing CircleCI CLI on Windows Source: https://github.com/provablehq/leo/blob/mainnet/DEVELOPMENT.md This command installs the CircleCI command-line interface (CLI) on Windows using Chocolatey, a package manager for Windows, with the -y flag for automatic confirmation. ```Shell choco install circleci-cli -y ``` -------------------------------- ### Installing CircleCI CLI on macOS Source: https://github.com/provablehq/leo/blob/mainnet/DEVELOPMENT.md This command installs the CircleCI command-line interface (CLI) on macOS using Homebrew, a popular package manager for macOS. ```Shell brew install circleci ``` -------------------------------- ### Building Leo from Source Code Source: https://github.com/provablehq/leo/blob/mainnet/README.md This sequence of commands clones the Leo repository, navigates into the project directory, and then uses Cargo to install the Leo CLI tool from the local source code. ```bash git clone https://github.com/ProvableHQ/leo cd leo cargo install --path . ``` -------------------------------- ### Running Leo CLI Source: https://github.com/provablehq/leo/blob/mainnet/README.md This command executes the Leo command-line interface, typically used to interact with Leo projects and programs after installation. ```bash leo ``` -------------------------------- ### Organizing Rust Imports in Leo Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md This example demonstrates the recommended import structure for Rust files in the Leo project. Imports are split into 'first party' (crate and Aleo-specific) and 'third party' (standard library and external crates) sections, and are ordered alphabetically within each section for consistency and maintainability. ```Rust use crate::Circuit; use leo_ast::IntegerType; use serde::Serialize; use std::{ fmt, sync::{Arc, Weak}, }; ``` -------------------------------- ### Running CircleCI Job Locally Source: https://github.com/provablehq/leo/blob/mainnet/DEVELOPMENT.md These commands process the CircleCI configuration file into a temporary 'process.yml' and then execute a specified job locally using the CircleCI CLI, allowing for local testing of CI/CD pipelines. ```Shell circleci config process .circleci/config.yml > process.yml circleci local execute -c process.yml --job JOB_NAME ``` -------------------------------- ### Checking Leo CLI Version Source: https://github.com/provablehq/leo/blob/mainnet/README.md This command displays the currently installed version of the Leo CLI tool, useful for verifying successful updates or troubleshooting. ```bash leo --version ``` -------------------------------- ### Updating Leo CLI Source: https://github.com/provablehq/leo/blob/mainnet/README.md This command updates the installed Leo CLI tool to its latest version, ensuring access to new features and bug fixes. ```bash leo update ``` -------------------------------- ### Creating and Running a New Leo Project Source: https://github.com/provablehq/leo/blob/mainnet/README.md These commands create a new Leo project named 'helloworld', change into its directory, and then compile and execute the 'main' program within that project with specified input values. ```bash leo new helloworld cd helloworld leo run main 0u32 1u32 ``` -------------------------------- ### Retrying Leo Parameter Download with Bash Script Source: https://github.com/provablehq/leo/blob/mainnet/docs/troubleshooting.md This bash script automates the process of downloading Leo's universal parameters by repeatedly attempting to build a new Leo project until the `leo build` command succeeds. It creates a temporary project, enters it, runs `leo build` in a loop, and then cleans up the temporary project upon success. This is useful when initial parameter downloads fail due to network issues, which often manifest as 'Transferred a partial file' errors. ```bash #!/bin/bash echo " Downloading parameters. This will take a few minutes... " # Create a new Leo project. leo new install > /dev/null 2>&1 cd install # Attempt to compile the program until it passes. # This is necessary to ensure that the universal parameters are downloaded. declare -i DONE DONE=1 while [ $DONE -ne 0 ] do leo build 2>&1 DONE=$? sleep 0.5 done # Remove the program. cd .. && rm -rf install ``` -------------------------------- ### Initializing and Extending Rust Collections in Bulk Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Demonstrates efficient ways to initialize a `Vec` with repeated values or resize an existing one, reducing individual allocations in loops. This approach is preferable to pushing single elements repeatedly, as it minimizes system calls for memory allocation. ```Rust // Initialize with N copies of x let my_vec = vec![x; N]; // Resize an existing vector my_vec.resize(N, x); ``` -------------------------------- ### Demonstrating Rust Comment Styles Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md This snippet illustrates various comment styles in Rust, including single-line comments, comments after code, and inline block comments. It shows the preferred placement and formatting for different comment types within the Leo project's style guidelines, emphasizing readability and consistency. ```Rust // A comment on an item. struct Foo { ... } fn foo() {} // A comment after an item. pub fn foo(/* a comment before an argument */ x: T) {...} ``` -------------------------------- ### Efficient Conditional Map Insertion with Rust `Entry` API Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Recommends using the `Entry` API or checking the return value of `insert` for `HashMap` operations to conditionally insert elements. This avoids redundant lookups (e.g., `contains_key` followed by `insert`), streamlining the operation. ```Rust use std::collections::HashMap; let mut map = HashMap::new(); let key = "my_key"; let value = 10; // Efficient conditional insertion map.entry(key).or_insert(value); // Or check insert return value let was_present = map.insert(key, value).is_some(); // Avoid redundant check + insert if !map.contains_key(key) { map.insert(key, value); } ``` -------------------------------- ### Optimizing String Conversion in Rust Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Advises using the `.to_string()` method for converting a single value to a `String` instead of the `format!()` macro. For simple conversions, `.to_string()` is generally more efficient as `format!()` has more overhead. ```Rust // Prefer this for single value conversion let s = value.to_string(); // Avoid this for single value conversion let s = format!("{}", value); ``` -------------------------------- ### Using Rust Slices for Temporary Data Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Illustrates the preference for using temporary slices (`&[T]`) over allocating a new `Vec` when a fixed, small set of values is needed temporarily and doesn't require ownership or modification. This avoids unnecessary heap allocations. ```Rust // Prefer this for temporary, fixed data let temp_slice = &[x, y, z]; // Avoid this if a slice is sufficient let temp_vec = vec![x, y, z]; ``` -------------------------------- ### Converting ABNF Grammar to Markdown using Rust Source: https://github.com/provablehq/leo/blob/mainnet/docs/grammar/README.md This shell command executes a Rust binary to convert the ABNF grammar file (`abnf-grammar.txt`) into a markdown file (`README.md`). It assumes the command is run from within the `grammar` directory. ```Shell cargo run abnf-grammar.txt > README.md ``` -------------------------------- ### Using Slices and References for Function Parameters in Rust Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Highlights the best practice of passing slices (`&[T]`, `&str`, `&Path`) instead of references to owned collections (`&Vec`, `&String`, `&PathBuf`) as function parameters. This improves flexibility by allowing functions to accept various types that can be coerced into slices, and avoids unnecessary allocations or cloning. ```Rust // Prefer these for function parameters fn process_slice(data: &[u8]) { /* ... */ } fn process_str(text: &str) { /* ... */ } fn process_path(path: &std::path::Path) { /* ... */ } // Avoid these if slices/references are sufficient fn process_vec(data: &Vec) { /* ... */ } fn process_string(text: &String) { /* ... */ } fn process_pathbuf(path: &std::path::PathBuf) { /* ... */ } ``` -------------------------------- ### Consuming Iterators with `into_iter()` in Rust Source: https://github.com/provablehq/leo/blob/mainnet/CONTRIBUTING.md Explains the use of `into_iter()` for consuming values from a collection when iteration is the final use, avoiding unnecessary cloning compared to `iter().cloned()`. This improves performance by preventing redundant data duplication. ```Rust // Prefer this when values can be consumed my_collection.into_iter(); // Avoid this if consumption is possible my_collection.iter().cloned(); ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.