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1 Commits

Author SHA1 Message Date
Leonardo de Moura
3cf552f765 refactor: add tryCatchRuntimeEx combinator
see #4079
2024-05-10 15:13:55 -07:00
4249 changed files with 34569 additions and 186237 deletions

View File

@@ -25,7 +25,7 @@ Please put an X between the brackets as you perform the following steps:
### Context
[Broader context that the issue occurred in. If there was any prior discussion on [the Lean Zulip](https://leanprover.zulipchat.com), link it here as well.]
[Broader context that the issue occured in. If there was any prior discussion on [the Lean Zulip](https://leanprover.zulipchat.com), link it here as well.]
### Steps to Reproduce
@@ -39,7 +39,7 @@ Please put an X between the brackets as you perform the following steps:
### Versions
[Output of `#version` or `#eval Lean.versionString`]
[Output of `#eval Lean.versionString`]
[OS version, if not using live.lean-lang.org.]
### Additional Information

View File

@@ -5,17 +5,10 @@
* Include the link to your `RFC` or `bug` issue in the description.
* If the issue does not already have approval from a developer, submit the PR as draft.
* The PR title/description will become the commit message. Keep it up-to-date as the PR evolves.
* For `feat/fix` PRs, the first paragraph starting with "This PR" must be present and will become a
changelog entry unless the PR is labeled with `no-changelog`. If the PR does not have this label,
it must instead be categorized with one of the `changelog-*` labels (which will be done by a
reviewer for external PRs).
* A toolchain of the form `leanprover/lean4-pr-releases:pr-release-NNNN` for Linux and M-series Macs will be generated upon build. To generate binaries for Windows and Intel-based Macs as well, write a comment containing `release-ci` on its own line.
* If you rebase your PR onto `nightly-with-mathlib` then CI will test Mathlib against your PR.
* You can manage the `awaiting-review`, `awaiting-author`, and `WIP` labels yourself, by writing a comment containing one of these labels on its own line.
* Remove this section, up to and including the `---` before submitting.
---
This PR <short changelog summary for feat/fix, see above>.
Closes <`RFC` or `bug` issue number fixed by this PR, if any>
Closes #0000 (`RFC` or `bug` issue number fixed by this PR, if any)

View File

@@ -1,8 +0,0 @@
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "monthly"
commit-message:
prefix: "chore: CI"

View File

@@ -15,8 +15,8 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v3
- name: actionlint
uses: raven-actions/actionlint@v2
uses: raven-actions/actionlint@v1
with:
pyflakes: false # we do not use python scripts

View File

@@ -11,10 +11,7 @@ jobs:
with:
# the default is to use a virtual merge commit between the PR and master: just use the PR
ref: ${{ github.event.pull_request.head.sha }}
sparse-checkout: |
src/Lean
src/Std
src/lake/Lake
sparse-checkout: src/Lean
- name: Check Prelude
run: |
failed_files=""
@@ -22,8 +19,8 @@ jobs:
if ! grep -q "^prelude$" "$file"; then
failed_files="$failed_files$file\n"
fi
done < <(find src/Lean src/Std src/lake/Lake -name '*.lean' -print0)
done < <(find src/Lean -name '*.lean' -print0)
if [ -n "$failed_files" ]; then
echo -e "The following files should use 'prelude':\n$failed_files"
exit 1
fi
fi

View File

@@ -6,20 +6,10 @@ on:
tags:
- '*'
pull_request:
types: [opened, synchronize, reopened, labeled]
merge_group:
schedule:
- cron: '0 7 * * *' # 8AM CET/11PM PT
# for manual re-release of a nightly
workflow_dispatch:
inputs:
action:
description: 'Action'
required: true
default: 'release nightly'
type: choice
options:
- release nightly
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.event_name }}
@@ -31,10 +21,8 @@ jobs:
configure:
runs-on: ubuntu-latest
outputs:
# 0: PRs without special label
# 1: PRs with `merge-ci` label, merge queue checks, master commits
# 2: PRs with `release-ci` label, releases (incl. nightlies)
check-level: ${{ steps.set-level.outputs.check-level }}
# Should we run only a quick CI? Yes on a pull request without the full-ci label
quick: ${{ steps.set-quick.outputs.quick }}
# The build matrix, dynamically generated here
matrix: ${{ steps.set-matrix.outputs.result }}
# Should we make a nightly release? If so, this output contains the lean version string, else it is empty
@@ -51,12 +39,167 @@ jobs:
RELEASE_TAG: ${{ steps.set-release.outputs.RELEASE_TAG }}
steps:
- name: Run quick CI?
id: set-quick
env:
quick: ${{
github.event_name == 'pull_request' && !contains( github.event.pull_request.labels.*.name, 'full-ci')
}}
run: |
echo "quick=${{env.quick}}" >> "$GITHUB_OUTPUT"
- name: Configure build matrix
id: set-matrix
uses: actions/github-script@v7
with:
script: |
const quick = ${{ steps.set-quick.outputs.quick }};
console.log(`quick: ${quick}`);
// use large runners outside PRs where available (original repo)
// disabled for now as this mostly just speeds up the test suite which is not a bottleneck
// let large = ${{ github.event_name != 'pull_request' && github.repository == 'leanprover/lean4' }} ? "-large" : "";
let matrix = [
{
// portable release build: use channel with older glibc (2.27)
"name": "Linux LLVM",
"os": "ubuntu-latest",
"release": false,
"quick": false,
"shell": "nix develop .#oldGlibc -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm*",
"binary-check": "ldd -v",
// foreign code may be linked against more recent glibc
// reverse-ffi needs to be updated to link to LLVM libraries
"CTEST_OPTIONS": "-E 'foreign|leanlaketest_reverse-ffi'",
"CMAKE_OPTIONS": "-DLLVM=ON -DLLVM_CONFIG=${GITHUB_WORKSPACE}/build/llvm-host/bin/llvm-config"
},
{
"name": "Linux release",
"os": "ubuntu-latest",
"release": true,
"quick": true,
"shell": "nix develop .#oldGlibc -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm*",
"binary-check": "ldd -v",
// foreign code may be linked against more recent glibc
"CTEST_OPTIONS": "-E 'foreign'"
},
{
"name": "Linux",
"os": "ubuntu-latest",
"check-stage3": true,
"test-speedcenter": true,
"quick": false,
},
{
"name": "Linux Debug",
"os": "ubuntu-latest",
"quick": false,
"CMAKE_OPTIONS": "-DCMAKE_BUILD_TYPE=Debug",
// exclude seriously slow tests
"CTEST_OPTIONS": "-E 'interactivetest|leanpkgtest|laketest|benchtest'"
},
// TODO: suddenly started failing in CI
/*{
"name": "Linux fsanitize",
"os": "ubuntu-latest",
"quick": false,
// turn off custom allocator & symbolic functions to make LSAN do its magic
"CMAKE_OPTIONS": "-DLEAN_EXTRA_CXX_FLAGS=-fsanitize=address,undefined -DLEANC_EXTRA_FLAGS='-fsanitize=address,undefined -fsanitize-link-c++-runtime' -DSMALL_ALLOCATOR=OFF -DBSYMBOLIC=OFF",
// exclude seriously slow/problematic tests (laketests crash)
"CTEST_OPTIONS": "-E 'interactivetest|leanpkgtest|laketest|benchtest'"
},*/
{
"name": "macOS",
"os": "macos-13",
"release": true,
"quick": false,
"shell": "bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-apple-darwin.tar.zst",
"prepare-llvm": "../script/prepare-llvm-macos.sh lean-llvm*",
"binary-check": "otool -L",
"tar": "gtar" // https://github.com/actions/runner-images/issues/2619
},
{
"name": "macOS aarch64",
"os": "macos-13",
"release": true,
"quick": false,
"cross": true,
"cross_target": "aarch64-apple-darwin",
"shell": "bash -euxo pipefail {0}",
"CMAKE_OPTIONS": "-DUSE_GMP=OFF -DLEAN_INSTALL_SUFFIX=-darwin_aarch64",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-aarch64-apple-darwin.tar.zst https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-apple-darwin.tar.zst",
"prepare-llvm": "../script/prepare-llvm-macos.sh lean-llvm-aarch64-* lean-llvm-x86_64-*",
"binary-check": "otool -L",
"tar": "gtar" // https://github.com/actions/runner-images/issues/2619
},
{
"name": "Windows",
"os": "windows-2022",
"release": true,
"quick": false,
"shell": "msys2 {0}",
"CMAKE_OPTIONS": "-G \"Unix Makefiles\" -DUSE_GMP=OFF",
// for reasons unknown, interactivetests are flaky on Windows
"CTEST_OPTIONS": "--repeat until-pass:2",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-w64-windows-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-mingw.sh lean-llvm*",
"binary-check": "ldd"
},
{
"name": "Linux aarch64",
"os": "ubuntu-latest",
"CMAKE_OPTIONS": "-DUSE_GMP=OFF -DLEAN_INSTALL_SUFFIX=-linux_aarch64",
"release": true,
"quick": false,
"cross": true,
"cross_target": "aarch64-unknown-linux-gnu",
"shell": "nix develop .#oldGlibcAArch -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-linux-gnu.tar.zst https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-aarch64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm-aarch64-* lean-llvm-x86_64-*"
},
{
"name": "Linux 32bit",
"os": "ubuntu-latest",
// Use 32bit on stage0 and stage1 to keep oleans compatible
"CMAKE_OPTIONS": "-DSTAGE0_USE_GMP=OFF -DSTAGE0_LEAN_EXTRA_CXX_FLAGS='-m32' -DSTAGE0_LEANC_OPTS='-m32' -DSTAGE0_MMAP=OFF -DUSE_GMP=OFF -DLEAN_EXTRA_CXX_FLAGS='-m32' -DLEANC_OPTS='-m32' -DMMAP=OFF -DLEAN_INSTALL_SUFFIX=-linux_x86",
"cmultilib": true,
"release": true,
"quick": false,
"cross": true,
"shell": "bash -euxo pipefail {0}"
},
{
"name": "Web Assembly",
"os": "ubuntu-latest",
// Build a native 32bit binary in stage0 and use it to compile the oleans and the wasm build
"CMAKE_OPTIONS": "-DCMAKE_C_COMPILER_WORKS=1 -DSTAGE0_USE_GMP=OFF -DSTAGE0_LEAN_EXTRA_CXX_FLAGS='-m32' -DSTAGE0_LEANC_OPTS='-m32' -DSTAGE0_CMAKE_CXX_COMPILER=clang++ -DSTAGE0_CMAKE_C_COMPILER=clang -DSTAGE0_CMAKE_EXECUTABLE_SUFFIX=\"\" -DUSE_GMP=OFF -DMMAP=OFF -DSTAGE0_MMAP=OFF -DCMAKE_AR=../emsdk/emsdk-main/upstream/emscripten/emar -DCMAKE_TOOLCHAIN_FILE=../emsdk/emsdk-main/upstream/emscripten/cmake/Modules/Platform/Emscripten.cmake -DLEAN_INSTALL_SUFFIX=-linux_wasm32",
"wasm": true,
"cmultilib": true,
"release": true,
"quick": false,
"cross": true,
"shell": "bash -euxo pipefail {0}",
// Just a few selected tests because wasm is slow
"CTEST_OPTIONS": "-R \"leantest_1007\\.lean|leantest_Format\\.lean|leanruntest\\_1037.lean|leanruntest_ac_rfl\\.lean\""
}
];
console.log(`matrix:\n${JSON.stringify(matrix, null, 2)}`)
if (quick) {
return matrix.filter((job) => job.quick)
} else {
return matrix
}
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v3
# don't schedule nightlies on forks
if: github.event_name == 'schedule' && github.repository == 'leanprover/lean4' || inputs.action == 'release nightly'
if: github.event_name == 'schedule' && github.repository == 'leanprover/lean4'
- name: Set Nightly
if: github.event_name == 'schedule' && github.repository == 'leanprover/lean4' || inputs.action == 'release nightly'
if: github.event_name == 'schedule' && github.repository == 'leanprover/lean4'
id: set-nightly
run: |
if [[ -n '${{ secrets.PUSH_NIGHTLY_TOKEN }}' ]]; then
@@ -101,168 +244,6 @@ jobs:
echo "Tag ${TAG_NAME} did not match SemVer regex."
fi
- name: Set check level
id: set-level
# We do not use github.event.pull_request.labels.*.name here because
# re-running a run does not update that list, and we do want to be able to
# rerun the workflow run after setting the `release-ci`/`merge-ci` labels.
run: |
check_level=0
if [[ -n "${{ steps.set-nightly.outputs.nightly }}" || -n "${{ steps.set-release.outputs.RELEASE_TAG }}" ]]; then
check_level=2
elif [[ "${{ github.event_name }}" != "pull_request" ]]; then
check_level=1
else
labels="$(gh api repos/${{ github.repository_owner }}/${{ github.event.repository.name }}/pulls/${{ github.event.pull_request.number }} --jq '.labels')"
if echo "$labels" | grep -q "release-ci"; then
check_level=2
elif echo "$labels" | grep -q "merge-ci"; then
check_level=1
fi
fi
echo "check-level=$check_level" >> "$GITHUB_OUTPUT"
env:
GH_TOKEN: ${{ github.token }}
- name: Configure build matrix
id: set-matrix
uses: actions/github-script@v7
with:
script: |
const level = ${{ steps.set-level.outputs.check-level }};
console.log(`level: ${level}`);
// use large runners where available (original repo)
let large = ${{ github.repository == 'leanprover/lean4' }};
let matrix = [
{
// portable release build: use channel with older glibc (2.27)
"name": "Linux LLVM",
"os": "ubuntu-latest",
"release": false,
"check-level": 2,
"shell": "nix develop .#oldGlibc -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm*",
"binary-check": "ldd -v",
// foreign code may be linked against more recent glibc
// reverse-ffi needs to be updated to link to LLVM libraries
"CTEST_OPTIONS": "-E 'foreign|leanlaketest_reverse-ffi'",
"CMAKE_OPTIONS": "-DLLVM=ON -DLLVM_CONFIG=${GITHUB_WORKSPACE}/build/llvm-host/bin/llvm-config"
},
{
"name": "Linux release",
"os": large ? "nscloud-ubuntu-22.04-amd64-4x8" : "ubuntu-latest",
"release": true,
"check-level": 0,
"shell": "nix develop .#oldGlibc -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm*",
"binary-check": "ldd -v",
// foreign code may be linked against more recent glibc
"CTEST_OPTIONS": "-E 'foreign'"
},
{
"name": "Linux",
"os": large ? "nscloud-ubuntu-22.04-amd64-4x8" : "ubuntu-latest",
"check-stage3": level >= 2,
"test-speedcenter": level >= 2,
"check-level": 1,
},
{
"name": "Linux Debug",
"os": "ubuntu-latest",
"check-level": 2,
"CMAKE_PRESET": "debug",
// exclude seriously slow tests
"CTEST_OPTIONS": "-E 'interactivetest|leanpkgtest|laketest|benchtest|bv_bitblast_stress'"
},
// TODO: suddenly started failing in CI
/*{
"name": "Linux fsanitize",
"os": "ubuntu-latest",
"check-level": 2,
// turn off custom allocator & symbolic functions to make LSAN do its magic
"CMAKE_PRESET": "sanitize",
// exclude seriously slow/problematic tests (laketests crash)
"CTEST_OPTIONS": "-E 'interactivetest|leanpkgtest|laketest|benchtest'"
},*/
{
"name": "macOS",
"os": "macos-13",
"release": true,
"check-level": 2,
"shell": "bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-apple-darwin.tar.zst",
"prepare-llvm": "../script/prepare-llvm-macos.sh lean-llvm*",
"binary-check": "otool -L",
"tar": "gtar" // https://github.com/actions/runner-images/issues/2619
},
{
"name": "macOS aarch64",
"os": "macos-14",
"CMAKE_OPTIONS": "-DLEAN_INSTALL_SUFFIX=-darwin_aarch64",
"release": true,
"check-level": 0,
"shell": "bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-aarch64-apple-darwin.tar.zst",
"prepare-llvm": "../script/prepare-llvm-macos.sh lean-llvm*",
"binary-check": "otool -L",
"tar": "gtar" // https://github.com/actions/runner-images/issues/2619
},
{
"name": "Windows",
"os": "windows-2022",
"release": true,
"check-level": 2,
"shell": "msys2 {0}",
"CMAKE_OPTIONS": "-G \"Unix Makefiles\"",
// for reasons unknown, interactivetests are flaky on Windows
"CTEST_OPTIONS": "--repeat until-pass:2",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-x86_64-w64-windows-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-mingw.sh lean-llvm*",
"binary-check": "ldd"
},
{
"name": "Linux aarch64",
"os": "nscloud-ubuntu-22.04-arm64-4x8",
"CMAKE_OPTIONS": "-DLEAN_INSTALL_SUFFIX=-linux_aarch64",
"release": true,
"check-level": 2,
"shell": "nix develop .#oldGlibcAArch -c bash -euxo pipefail {0}",
"llvm-url": "https://github.com/leanprover/lean-llvm/releases/download/15.0.1/lean-llvm-aarch64-linux-gnu.tar.zst",
"prepare-llvm": "../script/prepare-llvm-linux.sh lean-llvm*"
},
{
"name": "Linux 32bit",
"os": "ubuntu-latest",
// Use 32bit on stage0 and stage1 to keep oleans compatible
"CMAKE_OPTIONS": "-DSTAGE0_USE_GMP=OFF -DSTAGE0_LEAN_EXTRA_CXX_FLAGS='-m32' -DSTAGE0_LEANC_OPTS='-m32' -DSTAGE0_MMAP=OFF -DUSE_GMP=OFF -DLEAN_EXTRA_CXX_FLAGS='-m32' -DLEANC_OPTS='-m32' -DMMAP=OFF -DLEAN_INSTALL_SUFFIX=-linux_x86 -DCMAKE_LIBRARY_PATH=/usr/lib/i386-linux-gnu/ -DSTAGE0_CMAKE_LIBRARY_PATH=/usr/lib/i386-linux-gnu/ -DPKG_CONFIG_EXECUTABLE=/usr/bin/i386-linux-gnu-pkg-config",
"cmultilib": true,
"release": true,
"check-level": 2,
"cross": true,
"shell": "bash -euxo pipefail {0}"
}
// {
// "name": "Web Assembly",
// "os": "ubuntu-latest",
// // Build a native 32bit binary in stage0 and use it to compile the oleans and the wasm build
// "CMAKE_OPTIONS": "-DCMAKE_C_COMPILER_WORKS=1 -DSTAGE0_USE_GMP=OFF -DSTAGE0_LEAN_EXTRA_CXX_FLAGS='-m32' -DSTAGE0_LEANC_OPTS='-m32' -DSTAGE0_CMAKE_CXX_COMPILER=clang++ -DSTAGE0_CMAKE_C_COMPILER=clang -DSTAGE0_CMAKE_EXECUTABLE_SUFFIX=\"\" -DUSE_GMP=OFF -DMMAP=OFF -DSTAGE0_MMAP=OFF -DCMAKE_AR=../emsdk/emsdk-main/upstream/emscripten/emar -DCMAKE_TOOLCHAIN_FILE=../emsdk/emsdk-main/upstream/emscripten/cmake/Modules/Platform/Emscripten.cmake -DLEAN_INSTALL_SUFFIX=-linux_wasm32 -DSTAGE0_CMAKE_LIBRARY_PATH=/usr/lib/i386-linux-gnu/",
// "wasm": true,
// "cmultilib": true,
// "release": true,
// "check-level": 2,
// "cross": true,
// "shell": "bash -euxo pipefail {0}",
// // Just a few selected tests because wasm is slow
// "CTEST_OPTIONS": "-R \"leantest_1007\\.lean|leantest_Format\\.lean|leanruntest\\_1037.lean|leanruntest_ac_rfl\\.lean|leanruntest_tempfile.lean\\.|leanruntest_libuv\\.lean\""
// }
];
console.log(`matrix:\n${JSON.stringify(matrix, null, 2)}`)
return matrix.filter((job) => level >= job["check-level"])
build:
needs: [configure]
if: github.event_name != 'schedule' || github.repository == 'leanprover/lean4'
@@ -289,67 +270,63 @@ jobs:
CXX: c++
MACOSX_DEPLOYMENT_TARGET: 10.15
steps:
- name: Checkout
uses: actions/checkout@v3
with:
submodules: true
# the default is to use a virtual merge commit between the PR and master: just use the PR
ref: ${{ github.event.pull_request.head.sha }}
- name: Install Nix
uses: DeterminateSystems/nix-installer-action@main
uses: cachix/install-nix-action@v18
with:
install_url: https://releases.nixos.org/nix/nix-2.12.0/install
if: runner.os == 'Linux' && !matrix.cmultilib
- name: Install MSYS2
uses: msys2/setup-msys2@v2
with:
msystem: clang64
# `:` means do not prefix with msystem
pacboy: "make: python: cmake clang ccache gmp libuv git: zip: unzip: diffutils: binutils: tree: zstd tar:"
# `:p` means prefix with appropriate msystem prefix
pacboy: "make python cmake:p clang:p ccache:p gmp:p git zip unzip diffutils binutils tree zstd:p tar"
if: runner.os == 'Windows'
- name: Install Brew Packages
run: |
brew install ccache tree zstd coreutils gmp libuv
brew install ccache tree zstd coreutils gmp
if: runner.os == 'macOS'
- name: Checkout
uses: actions/checkout@v4
with:
# the default is to use a virtual merge commit between the PR and master: just use the PR
ref: ${{ github.event.pull_request.head.sha }}
# Do check out some CI-relevant files from virtual merge commit to accommodate CI changes on
# master (as the workflow files themselves are always taken from the merge)
# (needs to be after "Install *" to use the right shell)
- name: CI Merge Checkout
run: |
git fetch --depth=1 origin ${{ github.sha }}
git checkout FETCH_HEAD flake.nix flake.lock
if: github.event_name == 'pull_request'
# (needs to be after "Checkout" so files don't get overridden)
- name: Setup emsdk
uses: mymindstorm/setup-emsdk@v14
uses: mymindstorm/setup-emsdk@v12
with:
version: 3.1.44
actions-cache-folder: emsdk
if: matrix.wasm
- name: Install 32bit c libs
run: |
sudo dpkg --add-architecture i386
sudo apt-get update
sudo apt-get install -y gcc-multilib g++-multilib ccache libuv1-dev:i386 pkgconf:i386
sudo apt-get install -y gcc-multilib g++-multilib ccache
if: matrix.cmultilib
- name: Cache
uses: actions/cache@v4
uses: actions/cache@v3
with:
path: .ccache
key: ${{ matrix.name }}-build-v3-${{ github.event.pull_request.head.sha }}
key: ${{ matrix.name }}-build-v3-${{ github.sha }}
# fall back to (latest) previous cache
restore-keys: |
${{ matrix.name }}-build-v3
save-always: true
# open nix-shell once for initial setup
- name: Setup
run: |
ccache --zero-stats
# open nix-shell once for initial setup
true
if: runner.os == 'Linux'
- name: Set up NPROC
- name: Set up core dumps
run: |
echo "NPROC=$(nproc 2>/dev/null || sysctl -n hw.logicalcpu 2>/dev/null || echo 4)" >> $GITHUB_ENV
mkdir -p $PWD/coredumps
# store in current directory, for easy uploading together with binary
echo $PWD/coredumps/%e.%p.%t | sudo tee /proc/sys/kernel/core_pattern
if: runner.os == 'Linux'
- name: Build
run: |
mkdir build
cd build
ulimit -c unlimited # coredumps
# arguments passed to `cmake`
# this also enables githash embedding into stage 1 library
OPTIONS=(-DCHECK_OLEAN_VERSION=ON)
@@ -375,19 +352,11 @@ jobs:
OPTIONS+=(-DLEAN_SPECIAL_VERSION_DESC=${{ needs.configure.outputs.LEAN_SPECIAL_VERSION_DESC }})
fi
# contortion to support empty OPTIONS with old macOS bash
cmake .. --preset ${{ matrix.CMAKE_PRESET || 'release' }} -B . ${{ matrix.CMAKE_OPTIONS }} ${OPTIONS[@]+"${OPTIONS[@]}"} -DLEAN_INSTALL_PREFIX=$PWD/..
time make -j$NPROC
- name: Install
run: |
make -C build install
cmake .. ${{ matrix.CMAKE_OPTIONS }} ${OPTIONS[@]+"${OPTIONS[@]}"} -DLEAN_INSTALL_PREFIX=$PWD/..
make -j4
make install
- name: Check Binaries
run: ${{ matrix.binary-check }} lean-*/bin/* || true
- name: Count binary symbols
run: |
for f in lean-*/bin/*; do
echo "$f: $(nm $f | grep " T " | wc -l) exported symbols"
done
if: matrix.name == 'Windows'
- name: List Install Tree
run: |
# omit contents of Init/, ...
@@ -403,7 +372,7 @@ jobs:
else
${{ matrix.tar || 'tar' }} cf - $dir | zstd -T0 --no-progress -o pack/$dir.tar.zst
fi
- uses: actions/upload-artifact@v4
- uses: actions/upload-artifact@v3
if: matrix.release
with:
name: build-${{ matrix.name }}
@@ -413,46 +382,74 @@ jobs:
build/stage1/bin/lean --stats src/Lean.lean
if: ${{ !matrix.cross }}
- name: Test
id: test
run: |
time ctest --preset ${{ matrix.CMAKE_PRESET || 'release' }} --test-dir build/stage1 -j$NPROC --output-junit test-results.xml ${{ matrix.CTEST_OPTIONS }}
if: (matrix.wasm || !matrix.cross) && needs.configure.outputs.check-level >= 1
cd build/stage1
ulimit -c unlimited # coredumps
# exclude nonreproducible test
ctest -j4 --progress --output-junit test-results.xml --output-on-failure ${{ matrix.CTEST_OPTIONS }} < /dev/null
if: (matrix.wasm || !matrix.cross) && needs.configure.outputs.quick == 'false'
- name: Test Summary
uses: test-summary/action@v2
with:
paths: build/stage1/test-results.xml
# prefix `if` above with `always` so it's run even if tests failed
if: always() && steps.test.conclusion != 'skipped'
if: always() && (matrix.wasm || !matrix.cross) && needs.configure.outputs.quick == 'false'
- name: Check Test Binary
run: ${{ matrix.binary-check }} tests/compiler/534.lean.out
if: (!matrix.cross) && steps.test.conclusion != 'skipped'
if: ${{ !matrix.cross && needs.configure.outputs.quick == 'false' }}
- name: Build Stage 2
run: |
make -C build -j$NPROC stage2
cd build
ulimit -c unlimited # coredumps
make -j4 stage2
if: matrix.test-speedcenter
- name: Check Stage 3
run: |
make -C build -j$NPROC check-stage3
cd build
ulimit -c unlimited # coredumps
make -j4 check-stage3
if: matrix.test-speedcenter
- name: Test Speedcenter Benchmarks
run: |
# Necessary for some timing metrics but does not work on Namespace runners
# and we just want to test that the benchmarks run at all here
#echo -1 | sudo tee /proc/sys/kernel/perf_event_paranoid
echo -1 | sudo tee /proc/sys/kernel/perf_event_paranoid
export BUILD=$PWD/build PATH=$PWD/build/stage1/bin:$PATH
cd tests/bench
nix shell .#temci -c temci exec --config speedcenter.yaml --included_blocks fast --runs 1
if: matrix.test-speedcenter
- name: Check rebootstrap
run: |
cd build
ulimit -c unlimited # coredumps
# clean rebuild in case of Makefile changes
make -C build update-stage0 && rm -rf build/stage* && make -C build -j$NPROC
if: matrix.name == 'Linux' && needs.configure.outputs.check-level >= 1
make update-stage0 && rm -rf ./stage* && make -j4
if: matrix.name == 'Linux' && needs.configure.outputs.quick == 'false'
- name: CCache stats
run: ccache -s
- name: Show stacktrace for coredumps
if: ${{ failure() && runner.os == 'Linux' }}
run: |
for c in coredumps/*; do
progbin="$(file $c | sed "s/.*execfn: '\([^']*\)'.*/\1/")"
echo bt | $GDB/bin/gdb -q $progbin $c || true
done
# has not been used in a long while, would need to be adapted to new
# shared libs
#- name: Upload coredumps
# uses: actions/upload-artifact@v3
# if: ${{ failure() && runner.os == 'Linux' }}
# with:
# name: coredumps-${{ matrix.name }}
# path: |
# ./coredumps
# ./build/stage0/bin/lean
# ./build/stage0/lib/lean/libleanshared.so
# ./build/stage1/bin/lean
# ./build/stage1/lib/lean/libleanshared.so
# ./build/stage2/bin/lean
# ./build/stage2/lib/lean/libleanshared.so
# This job collects results from all the matrix jobs
# This can be made the "required" job, instead of listing each
# This can be made the required job, instead of listing each
# matrix job separately
all-done:
name: Build matrix complete
@@ -461,24 +458,12 @@ jobs:
# mark as merely cancelled not failed if builds are cancelled
if: ${{ !cancelled() }}
steps:
- if: ${{ contains(needs.*.result, 'failure') && github.repository == 'leanprover/lean4' && github.ref_name == 'master' }}
uses: zulip/github-actions-zulip/send-message@v1
with:
api-key: ${{ secrets.ZULIP_BOT_KEY }}
email: "github-actions-bot@lean-fro.zulipchat.com"
organization-url: "https://lean-fro.zulipchat.com"
to: "infrastructure"
topic: "Github actions"
type: "stream"
content: |
A build of `${{ github.ref_name }}`, triggered by event `${{ github.event_name }}`, [failed](https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- if: contains(needs.*.result, 'failure')
uses: actions/github-script@v7
with:
script: |
core.setFailed('Some jobs failed')
# This job creates releases from tags
# (whether they are "unofficial" releases for experiments, or official releases when the tag is "v" followed by a semver string.)
# We do not attempt to automatically construct a changelog here:
@@ -488,22 +473,16 @@ jobs:
runs-on: ubuntu-latest
needs: build
steps:
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@v3
with:
path: artifacts
- name: Release
uses: softprops/action-gh-release@v2
uses: softprops/action-gh-release@v1
with:
files: artifacts/*/*
fail_on_unmatched_files: true
prerelease: ${{ !startsWith(github.ref, 'refs/tags/v') || contains(github.ref, '-rc') }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Update release.lean-lang.org
run: |
gh workflow -R leanprover/release-index run update-index.yml
env:
GITHUB_TOKEN: ${{ secrets.RELEASE_INDEX_TOKEN }}
# This job creates nightly releases during the cron job.
# It is responsible for creating the tag, and automatically generating a changelog.
@@ -513,12 +492,12 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v3
with:
# needed for tagging
fetch-depth: 0
token: ${{ secrets.PUSH_NIGHTLY_TOKEN }}
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@v3
with:
path: artifacts
- name: Prepare Nightly Release
@@ -536,7 +515,7 @@ jobs:
echo -e "\n*Full commit log*\n" >> diff.md
git log --oneline "$last_tag"..HEAD | sed 's/^/* /' >> diff.md
- name: Release Nightly
uses: softprops/action-gh-release@v2
uses: softprops/action-gh-release@v1
with:
body_path: diff.md
prerelease: true
@@ -546,13 +525,3 @@ jobs:
repository: ${{ github.repository_owner }}/lean4-nightly
env:
GITHUB_TOKEN: ${{ secrets.PUSH_NIGHTLY_TOKEN }}
- name: Update release.lean-lang.org
run: |
gh workflow -R leanprover/release-index run update-index.yml
env:
GITHUB_TOKEN: ${{ secrets.RELEASE_INDEX_TOKEN }}
- name: Update toolchain on mathlib4's nightly-testing branch
run: |
gh workflow -R leanprover-community/mathlib4 run nightly_bump_toolchain.yml
env:
GITHUB_TOKEN: ${{ secrets.MATHLIB4_BOT }}

View File

@@ -1,34 +0,0 @@
name: Jira sync
on:
issues:
types: [closed]
jobs:
jira-sync:
runs-on: ubuntu-latest
steps:
- name: Move Jira issue to Done
env:
JIRA_API_TOKEN: ${{ secrets.JIRA_API_TOKEN }}
JIRA_USERNAME: ${{ secrets.JIRA_USERNAME }}
JIRA_BASE_URL: ${{ secrets.JIRA_BASE_URL }}
run: |
issue_number=${{ github.event.issue.number }}
jira_issue_key=$(curl -s -u "${JIRA_USERNAME}:${JIRA_API_TOKEN}" \
-X GET -H "Content-Type: application/json" \
"${JIRA_BASE_URL}/rest/api/2/search?jql=summary~\"${issue_number}\"" | \
jq -r '.issues[0].key')
if [ -z "$jira_issue_key" ]; then
exit
fi
curl -s -u "${JIRA_USERNAME}:${JIRA_API_TOKEN}" \
-X POST -H "Content-Type: application/json" \
--data "{\"transition\": {\"id\": \"41\"}}" \
"${JIRA_BASE_URL}/rest/api/2/issue/${jira_issue_key}/transitions"
echo "Moved Jira issue ${jira_issue_key} to Done"

View File

@@ -1,8 +1,6 @@
# This workflow allows any user to add one of the `awaiting-review`, `awaiting-author`, `WIP`,
# `release-ci`, or a `changelog-XXX` label by commenting on the PR or issue.
# If any labels from the set {`awaiting-review`, `awaiting-author`, `WIP`} are added, other labels
# from that set are removed automatically at the same time.
# Similarly, if any `changelog-XXX` label is added, other `changelog-YYY` labels are removed.
# This workflow allows any user to add one of the `awaiting-review`, `awaiting-author`, or `WIP` labels,
# by commenting on the PR or issue.
# Other labels from this set are removed automatically at the same time.
name: Label PR based on Comment
@@ -12,7 +10,7 @@ on:
jobs:
update-label:
if: github.event.issue.pull_request != null && (contains(github.event.comment.body, 'awaiting-review') || contains(github.event.comment.body, 'awaiting-author') || contains(github.event.comment.body, 'WIP') || contains(github.event.comment.body, 'release-ci') || contains(github.event.comment.body, 'changelog-'))
if: github.event.issue.pull_request != null && (contains(github.event.comment.body, 'awaiting-review') || contains(github.event.comment.body, 'awaiting-author') || contains(github.event.comment.body, 'WIP'))
runs-on: ubuntu-latest
steps:
@@ -21,14 +19,12 @@ jobs:
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { owner, repo, number: issue_number } = context.issue;
const { owner, repo, number: issue_number } = context.issue;
const commentLines = context.payload.comment.body.split('\r\n');
const awaitingReview = commentLines.includes('awaiting-review');
const awaitingAuthor = commentLines.includes('awaiting-author');
const wip = commentLines.includes('WIP');
const releaseCI = commentLines.includes('release-ci');
const changelogMatch = commentLines.find(line => line.startsWith('changelog-'));
if (awaitingReview || awaitingAuthor || wip) {
await github.rest.issues.removeLabel({ owner, repo, issue_number, name: 'awaiting-review' }).catch(() => {});
@@ -45,23 +41,3 @@ jobs:
if (wip) {
await github.rest.issues.addLabels({ owner, repo, issue_number, labels: ['WIP'] });
}
if (releaseCI) {
await github.rest.issues.addLabels({ owner, repo, issue_number, labels: ['release-ci'] });
}
if (changelogMatch) {
const changelogLabel = changelogMatch.trim();
const { data: existingLabels } = await github.rest.issues.listLabelsOnIssue({ owner, repo, issue_number });
const changelogLabels = existingLabels.filter(label => label.name.startsWith('changelog-'));
// Remove all other changelog labels
for (const label of changelogLabels) {
if (label.name !== changelogLabel) {
await github.rest.issues.removeLabel({ owner, repo, issue_number, name: label.name }).catch(() => {});
}
}
// Add the new changelog label
await github.rest.issues.addLabels({ owner, repo, issue_number, labels: [changelogLabel] });
}

View File

@@ -6,6 +6,7 @@ on:
tags:
- '*'
pull_request:
types: [opened, synchronize, reopened, labeled]
merge_group:
concurrency:
@@ -13,36 +14,18 @@ concurrency:
cancel-in-progress: true
jobs:
# see ci.yml
configure:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.set-matrix.outputs.result }}
steps:
- name: Configure build matrix
id: set-matrix
uses: actions/github-script@v7
with:
script: |
let large = ${{ github.repository == 'leanprover/lean4' }};
let matrix = [
{
"name": "Nix Linux",
"os": large ? "nscloud-ubuntu-22.04-amd64-8x8" : "ubuntu-latest",
}
];
console.log(`matrix:\n${JSON.stringify(matrix, null, 2)}`);
return matrix;
Build:
needs: [configure]
runs-on: ${{ matrix.os }}
defaults:
run:
shell: nix run .#ciShell -- bash -euxo pipefail {0}
strategy:
matrix:
include: ${{fromJson(needs.configure.outputs.matrix)}}
include:
- name: Nix Linux
os: ubuntu-latest
#- name: Nix macOS
# os: macos-latest
# complete all jobs
fail-fast: false
name: ${{ matrix.name }}
@@ -50,19 +33,18 @@ jobs:
NIX_BUILD_ARGS: --print-build-logs --fallback
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v3
with:
# the default is to use a virtual merge commit between the PR and master: just use the PR
ref: ${{ github.event.pull_request.head.sha }}
- name: Set Up Nix Cache
uses: actions/cache@v4
uses: actions/cache@v3
with:
path: nix-store-cache
key: ${{ matrix.name }}-nix-store-cache-${{ github.sha }}
# fall back to (latest) previous cache
restore-keys: |
${{ matrix.name }}-nix-store-cache
save-always: true
- name: Further Set Up Nix Cache
shell: bash -euxo pipefail {0}
run: |
@@ -79,14 +61,13 @@ jobs:
sudo mkdir -m0770 -p /nix/var/cache/ccache
sudo chown -R $USER /nix/var/cache/ccache
- name: Setup CCache Cache
uses: actions/cache@v4
uses: actions/cache@v3
with:
path: /nix/var/cache/ccache
key: ${{ matrix.name }}-nix-ccache-${{ github.sha }}
# fall back to (latest) previous cache
restore-keys: |
${{ matrix.name }}-nix-ccache
save-always: true
- name: Further Set Up CCache Cache
run: |
sudo chown -R root:nixbld /nix/var/cache
@@ -96,7 +77,7 @@ jobs:
nix build $NIX_BUILD_ARGS .#cacheRoots -o push-build
- name: Test
run: |
nix build --keep-failed $NIX_BUILD_ARGS .#test -o push-test || (ln -s /tmp/nix-build-*/build/source/src/build ./push-test; false)
nix build --keep-failed $NIX_BUILD_ARGS .#test -o push-test || (ln -s /tmp/nix-build-*/source/src/build/ ./push-test; false)
- name: Test Summary
uses: test-summary/action@v2
with:
@@ -105,11 +86,19 @@ jobs:
continue-on-error: true
- name: Build manual
run: |
nix build $NIX_BUILD_ARGS --update-input lean --no-write-lock-file ./doc#{lean-mdbook,leanInk,alectryon,inked} -o push-doc
nix build $NIX_BUILD_ARGS --update-input lean --no-write-lock-file ./doc#{lean-mdbook,leanInk,alectryon,test,inked} -o push-doc
nix build $NIX_BUILD_ARGS --update-input lean --no-write-lock-file ./doc
# https://github.com/netlify/cli/issues/1809
cp -r --dereference ./result ./dist
if: matrix.name == 'Nix Linux'
- name: Check manual for broken links
id: lychee
uses: lycheeverse/lychee-action@v1.9.0
with:
fail: false # report errors but do not block CI on temporary failures
# gmplib.org consistently times out from GH actions
# the GitHub token is to avoid rate limiting
args: --base './dist' --no-progress --github-token ${{ secrets.GITHUB_TOKEN }} --exclude 'gmplib.org' './dist/**/*.html'
- name: Rebuild Nix Store Cache
run: |
rm -rf nix-store-cache || true
@@ -121,7 +110,7 @@ jobs:
python3 -c 'import base64; print("alias="+base64.urlsafe_b64encode(bytes.fromhex("${{github.sha}}")).decode("utf-8").rstrip("="))' >> "$GITHUB_OUTPUT"
echo "message=`git log -1 --pretty=format:"%s"`" >> "$GITHUB_OUTPUT"
- name: Publish manual to Netlify
uses: nwtgck/actions-netlify@v3.0
uses: nwtgck/actions-netlify@v2.0
id: publish-manual
with:
publish-dir: ./dist
@@ -140,3 +129,5 @@ jobs:
- name: Fixup CCache Cache
run: |
sudo chown -R $USER /nix/var/cache
- name: CCache stats
run: CCACHE_DIR=/nix/var/cache/ccache nix run .#nixpkgs.ccache -- -s

View File

@@ -1,25 +0,0 @@
name: Check PR body for changelog convention
on:
merge_group:
pull_request:
types: [opened, synchronize, reopened, edited, labeled, converted_to_draft, ready_for_review]
jobs:
check-pr-body:
runs-on: ubuntu-latest
steps:
- name: Check PR body
if: github.event_name == 'pull_request'
uses: actions/github-script@v7
with:
script: |
const { title, body, labels, draft } = context.payload.pull_request;
if (!draft && /^(feat|fix):/.test(title) && !labels.some(label => label.name == "changelog-no")) {
if (!labels.some(label => label.name.startsWith("changelog-"))) {
core.setFailed('feat/fix PR must have a `changelog-*` label');
}
if (!/^This PR [^<]/.test(body)) {
core.setFailed('feat/fix PR must have changelog summary starting with "This PR ..." as first line.');
}
}

View File

@@ -34,7 +34,7 @@ jobs:
- name: Download artifact from the previous workflow.
if: ${{ steps.workflow-info.outputs.pullRequestNumber != '' }}
id: download-artifact
uses: dawidd6/action-download-artifact@v7 # https://github.com/marketplace/actions/download-workflow-artifact
uses: dawidd6/action-download-artifact@v2 # https://github.com/marketplace/actions/download-workflow-artifact
with:
run_id: ${{ github.event.workflow_run.id }}
path: artifacts
@@ -60,7 +60,7 @@ jobs:
GH_TOKEN: ${{ secrets.PR_RELEASES_TOKEN }}
- name: Release
if: ${{ steps.workflow-info.outputs.pullRequestNumber != '' }}
uses: softprops/action-gh-release@v2
uses: softprops/action-gh-release@v1
with:
name: Release for PR ${{ steps.workflow-info.outputs.pullRequestNumber }}
# There are coredumps files here as well, but all in deeper subdirectories.
@@ -75,7 +75,7 @@ jobs:
- name: Report release status
if: ${{ steps.workflow-info.outputs.pullRequestNumber != '' }}
uses: actions/github-script@v7
uses: actions/github-script@v6
with:
script: |
await github.rest.repos.createCommitStatus({
@@ -111,7 +111,7 @@ jobs:
- name: 'Setup jq'
if: ${{ steps.workflow-info.outputs.pullRequestNumber != '' }}
uses: dcarbone/install-jq-action@v3.0.1
uses: dcarbone/install-jq-action@v1.0.1
# Check that the most recently nightly coincides with 'git merge-base HEAD master'
- name: Check merge-base and nightly-testing-YYYY-MM-DD
@@ -134,7 +134,7 @@ jobs:
MESSAGE=""
if [[ -n "$MATHLIB_REMOTE_TAGS" ]]; then
echo "... and Mathlib has a 'nightly-testing-$MOST_RECENT_NIGHTLY' tag."
echo "... and Mathlib has a 'nightly-testing-$MOST_RECENT_NIGHTLY' tag."
else
echo "... but Mathlib does not yet have a 'nightly-testing-$MOST_RECENT_NIGHTLY' tag."
MESSAGE="- ❗ Mathlib CI can not be attempted yet, as the \`nightly-testing-$MOST_RECENT_NIGHTLY\` tag does not exist there yet. We will retry when you push more commits. If you rebase your branch onto \`nightly-with-mathlib\`, Mathlib CI should run now."
@@ -149,7 +149,7 @@ jobs:
echo "but 'git merge-base origin/master HEAD' reported: $MERGE_BASE_SHA"
git -C lean4.git log -10 origin/master
git -C lean4.git fetch origin nightly-with-mathlib
git -C lean4.git fetch origin nightly-with-mathlib
NIGHTLY_WITH_MATHLIB_SHA="$(git -C lean4.git rev-parse "origin/nightly-with-mathlib")"
MESSAGE="- ❗ Batteries/Mathlib CI will not be attempted unless your PR branches off the \`nightly-with-mathlib\` branch. Try \`git rebase $MERGE_BASE_SHA --onto $NIGHTLY_WITH_MATHLIB_SHA\`."
fi
@@ -163,11 +163,10 @@ jobs:
# so keep in sync
# Use GitHub API to check if a comment already exists
existing_comment="$(curl --retry 3 --location --silent \
-H "Authorization: token ${{ secrets.MATHLIB4_COMMENT_BOT }}" \
existing_comment="$(curl -L -s -H "Authorization: token ${{ secrets.MATHLIB4_BOT }}" \
-H "Accept: application/vnd.github.v3+json" \
"https://api.github.com/repos/leanprover/lean4/issues/${{ steps.workflow-info.outputs.pullRequestNumber }}/comments" \
| jq 'first(.[] | select(.body | test("^- . Mathlib") or startswith("Mathlib CI status")) | select(.user.login == "leanprover-community-bot"))')"
| jq 'first(.[] | select(.body | test("^- . Mathlib") or startswith("Mathlib CI status")) | select(.user.login == "leanprover-community-mathlib4-bot"))')"
existing_comment_id="$(echo "$existing_comment" | jq -r .id)"
existing_comment_body="$(echo "$existing_comment" | jq -r .body)"
@@ -177,14 +176,14 @@ jobs:
echo "Posting message to the comments: $MESSAGE"
# Append new result to the existing comment or post a new comment
# It's essential we use the MATHLIB4_COMMENT_BOT token here, so that Mathlib CI can subsequently edit the comment.
# It's essential we use the MATHLIB4_BOT token here, so that Mathlib CI can subsequently edit the comment.
if [ -z "$existing_comment_id" ]; then
INTRO="Mathlib CI status ([docs](https://leanprover-community.github.io/contribute/tags_and_branches.html)):"
# Post new comment with a bullet point
echo "Posting as new comment at leanprover/lean4/issues/${{ steps.workflow-info.outputs.pullRequestNumber }}/comments"
curl -L -s \
-X POST \
-H "Authorization: token ${{ secrets.MATHLIB4_COMMENT_BOT }}" \
-H "Authorization: token ${{ secrets.MATHLIB4_BOT }}" \
-H "Accept: application/vnd.github.v3+json" \
-d "$(jq --null-input --arg intro "$INTRO" --arg val "$MESSAGE" '{"body":($intro + "\n" + $val)}')" \
"https://api.github.com/repos/leanprover/lean4/issues/${{ steps.workflow-info.outputs.pullRequestNumber }}/comments"
@@ -193,7 +192,7 @@ jobs:
echo "Appending to existing comment at leanprover/lean4/issues/${{ steps.workflow-info.outputs.pullRequestNumber }}/comments"
curl -L -s \
-X PATCH \
-H "Authorization: token ${{ secrets.MATHLIB4_COMMENT_BOT }}" \
-H "Authorization: token ${{ secrets.MATHLIB4_BOT }}" \
-H "Accept: application/vnd.github.v3+json" \
-d "$(jq --null-input --arg existing "$existing_comment_body" --arg message "$MESSAGE" '{"body":($existing + "\n" + $message)}')" \
"https://api.github.com/repos/leanprover/lean4/issues/comments/$existing_comment_id"
@@ -208,7 +207,7 @@ jobs:
- name: Report mathlib base
if: ${{ steps.workflow-info.outputs.pullRequestNumber != '' && steps.ready.outputs.mathlib_ready == 'true' }}
uses: actions/github-script@v7
uses: actions/github-script@v6
with:
script: |
const description =
@@ -235,7 +234,7 @@ jobs:
# Checkout the Batteries repository with all branches
- name: Checkout Batteries repository
if: steps.workflow-info.outputs.pullRequestNumber != '' && steps.ready.outputs.mathlib_ready == 'true'
uses: actions/checkout@v4
uses: actions/checkout@v3
with:
repository: leanprover-community/batteries
token: ${{ secrets.MATHLIB4_BOT }}
@@ -292,20 +291,13 @@ jobs:
# Checkout the mathlib4 repository with all branches
- name: Checkout mathlib4 repository
if: steps.workflow-info.outputs.pullRequestNumber != '' && steps.ready.outputs.mathlib_ready == 'true'
uses: actions/checkout@v4
uses: actions/checkout@v3
with:
repository: leanprover-community/mathlib4
token: ${{ secrets.MATHLIB4_BOT }}
ref: nightly-testing
fetch-depth: 0 # This ensures we check out all tags and branches.
- name: install elan
run: |
set -o pipefail
curl -sSfL https://github.com/leanprover/elan/releases/download/v3.0.0/elan-x86_64-unknown-linux-gnu.tar.gz | tar xz
./elan-init -y --default-toolchain none
echo "$HOME/.elan/bin" >> "${GITHUB_PATH}"
- name: Check if tag exists
if: steps.workflow-info.outputs.pullRequestNumber != '' && steps.ready.outputs.mathlib_ready == 'true'
id: check_mathlib_tag
@@ -329,18 +321,15 @@ jobs:
git switch -c lean-pr-testing-${{ steps.workflow-info.outputs.pullRequestNumber }} "$BASE"
echo "leanprover/lean4-pr-releases:pr-release-${{ steps.workflow-info.outputs.pullRequestNumber }}" > lean-toolchain
git add lean-toolchain
sed -i 's,require "leanprover-community" / "batteries" @ git ".\+",require "leanprover-community" / "batteries" @ git "lean-pr-testing-${{ steps.workflow-info.outputs.pullRequestNumber }}",' lakefile.lean
lake update batteries
git add lakefile.lean lake-manifest.json
sed -i "s/require batteries from git \"https:\/\/github.com\/leanprover-community\/batteries\" @ \".\+\"/require batteries from git \"https:\/\/github.com\/leanprover-community\/batteries\" @ \"nightly-testing-${MOST_RECENT_NIGHTLY}\"/" lakefile.lean
git add lakefile.lean
git commit -m "Update lean-toolchain for testing https://github.com/leanprover/lean4/pull/${{ steps.workflow-info.outputs.pullRequestNumber }}"
else
echo "Branch already exists, merging $BASE and bumping Batteries."
echo "Branch already exists, pushing an empty commit."
git switch lean-pr-testing-${{ steps.workflow-info.outputs.pullRequestNumber }}
# The Mathlib `nightly-testing` branch or `nightly-testing-YYYY-MM-DD` tag may have moved since this branch was created, so merge their changes.
# (This should no longer be possible once `nightly-testing-YYYY-MM-DD` is a tag, but it is still safe to merge.)
git merge "$BASE" --strategy-option ours --no-commit --allow-unrelated-histories
lake update batteries
git add lake-manifest.json
git commit --allow-empty -m "Trigger CI for https://github.com/leanprover/lean4/pull/${{ steps.workflow-info.outputs.pullRequestNumber }}"
fi

View File

@@ -1,35 +0,0 @@
name: Restart by label
on:
pull_request_target:
types:
- unlabeled
- labeled
jobs:
restart-on-label:
runs-on: ubuntu-latest
if: contains(github.event.label.name, 'merge-ci') || contains(github.event.label.name, 'release-ci')
steps:
- run: |
# Finding latest CI workflow run on current pull request
# (unfortunately cannot search by PR number, only base branch,
# and that is't even unique given PRs from forks, but the risk
# of confusion is low and the danger is mild)
echo "Trying to find a run with branch $head_ref and commit $head_sha"
run_id="$(gh run list -e pull_request -b "$head_ref" -c "$head_sha" \
--workflow 'CI' --limit 1 --json databaseId --jq '.[0].databaseId')"
echo "Run id: ${run_id}"
gh run view "$run_id"
echo "Cancelling (just in case)"
gh run cancel "$run_id" || echo "(failed)"
echo "Waiting for 30s"
sleep 30
gh run view "$run_id"
echo "Rerunning"
gh run rerun "$run_id"
gh run view "$run_id"
shell: bash
env:
head_ref: ${{ github.head_ref }}
head_sha: ${{ github.event.pull_request.head.sha }}
GH_TOKEN: ${{ github.token }}
GH_REPO: ${{ github.repository }}

View File

@@ -11,7 +11,7 @@ jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
- uses: actions/stale@v8
with:
days-before-stale: -1
days-before-pr-stale: 30

View File

@@ -23,7 +23,7 @@ jobs:
# This action should push to an otherwise protected branch, so it
# uses a deploy key with write permissions, as suggested at
# https://stackoverflow.com/a/76135647/946226
- uses: actions/checkout@v4
- uses: actions/checkout@v3
with:
ssh-key: ${{secrets.STAGE0_SSH_KEY}}
- run: echo "should_update_stage0=yes" >> "$GITHUB_ENV"
@@ -47,7 +47,7 @@ jobs:
# uses: DeterminateSystems/magic-nix-cache-action@v2
- if: env.should_update_stage0 == 'yes'
name: Restore Build Cache
uses: actions/cache/restore@v4
uses: actions/cache/restore@v3
with:
path: nix-store-cache
key: Nix Linux-nix-store-cache-${{ github.sha }}

6
.gitignore vendored
View File

@@ -4,10 +4,8 @@
*.lock
.lake
lake-manifest.json
/build
/src/lakefile.toml
/tests/lakefile.toml
/lakefile.toml
build
!/src/lake/Lake/Build
GPATH
GRTAGS
GSYMS

14
.gitpod.Dockerfile vendored
View File

@@ -1,14 +0,0 @@
# You can find the new timestamped tags here: https://hub.docker.com/r/gitpod/workspace-full/tags
FROM gitpod/workspace-full
USER root
RUN apt-get update && apt-get install git libgmp-dev libuv1-dev cmake ccache clang -y && apt-get clean
USER gitpod
# Install and configure elan
RUN curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh -s -- -y --default-toolchain none
ENV PATH="/home/gitpod/.elan/bin:${PATH}"
# Create a dummy toolchain so that we can pre-register it with elan
RUN mkdir -p /workspace/lean4/build/release/stage1/bin && touch /workspace/lean4/build/release/stage1/bin/lean && elan toolchain link lean4 /workspace/lean4/build/release/stage1
RUN mkdir -p /workspace/lean4/build/release/stage0/bin && touch /workspace/lean4/build/release/stage0/bin/lean && elan toolchain link lean4-stage0 /workspace/lean4/build/release/stage0

View File

@@ -1,11 +0,0 @@
image:
file: .gitpod.Dockerfile
vscode:
extensions:
- leanprover.lean4
tasks:
- name: Release build
init: cmake --preset release
command: make -C build/release -j$(nproc || sysctl -n hw.logicalcpu)

View File

@@ -18,9 +18,6 @@ foreach(var ${vars})
if("${var}" MATCHES "LLVM*")
list(APPEND STAGE0_ARGS "-D${var}=${${var}}")
endif()
if("${var}" MATCHES "PKG_CONFIG*")
list(APPEND STAGE0_ARGS "-D${var}=${${var}}")
endif()
elseif(("${var}" MATCHES "CMAKE_.*") AND NOT ("${var}" MATCHES "CMAKE_BUILD_TYPE") AND NOT ("${var}" MATCHES "CMAKE_HOME_DIRECTORY"))
list(APPEND PLATFORM_ARGS "-D${var}=${${var}}")
endif()
@@ -33,35 +30,6 @@ if(NOT (DEFINED STAGE0_CMAKE_EXECUTABLE_SUFFIX))
set(STAGE0_CMAKE_EXECUTABLE_SUFFIX "${CMAKE_EXECUTABLE_SUFFIX}")
endif()
# Don't do anything with cadical on wasm
if (NOT ${CMAKE_SYSTEM_NAME} MATCHES "Emscripten")
# On CI Linux, we source cadical from Nix instead; see flake.nix
find_program(CADICAL cadical)
if(NOT CADICAL)
set(CADICAL_CXX c++)
find_program(CCACHE ccache)
if(CCACHE)
set(CADICAL_CXX "${CCACHE} ${CADICAL_CXX}")
endif()
# missing stdio locking API on Windows
if(${CMAKE_SYSTEM_NAME} MATCHES "Windows")
string(APPEND CADICAL_CXXFLAGS " -DNUNLOCKED")
endif()
ExternalProject_add(cadical
PREFIX cadical
GIT_REPOSITORY https://github.com/arminbiere/cadical
GIT_TAG rel-1.9.5
CONFIGURE_COMMAND ""
# https://github.com/arminbiere/cadical/blob/master/BUILD.md#manual-build
BUILD_COMMAND $(MAKE) -f ${CMAKE_SOURCE_DIR}/src/cadical.mk CMAKE_EXECUTABLE_SUFFIX=${CMAKE_EXECUTABLE_SUFFIX} CXX=${CADICAL_CXX} CXXFLAGS=${CADICAL_CXXFLAGS}
BUILD_IN_SOURCE ON
INSTALL_COMMAND "")
set(CADICAL ${CMAKE_BINARY_DIR}/cadical/cadical${CMAKE_EXECUTABLE_SUFFIX} CACHE FILEPATH "path to cadical binary" FORCE)
set(EXTRA_DEPENDS "cadical")
endif()
list(APPEND CL_ARGS -DCADICAL=${CADICAL})
endif()
ExternalProject_add(stage0
SOURCE_DIR "${LEAN_SOURCE_DIR}/stage0"
SOURCE_SUBDIR src

View File

@@ -1,83 +0,0 @@
{
"version": 2,
"cmakeMinimumRequired": {
"major": 3,
"minor": 10,
"patch": 0
},
"configurePresets": [
{
"name": "release",
"displayName": "Default development optimized build config",
"generator": "Unix Makefiles",
"binaryDir": "${sourceDir}/build/release"
},
{
"name": "debug",
"displayName": "Debug build config",
"cacheVariables": {
"CMAKE_BUILD_TYPE": "Debug"
},
"generator": "Unix Makefiles",
"binaryDir": "${sourceDir}/build/debug"
},
{
"name": "sanitize",
"displayName": "Sanitize build config",
"cacheVariables": {
"LEAN_EXTRA_CXX_FLAGS": "-fsanitize=address,undefined",
"LEANC_EXTRA_FLAGS": "-fsanitize=address,undefined -fsanitize-link-c++-runtime",
"SMALL_ALLOCATOR": "OFF",
"BSYMBOLIC": "OFF"
},
"generator": "Unix Makefiles",
"binaryDir": "${sourceDir}/build/sanitize"
},
{
"name": "sandebug",
"inherits": ["debug", "sanitize"],
"displayName": "Sanitize+debug build config",
"binaryDir": "${sourceDir}/build/sandebug"
}
],
"buildPresets": [
{
"name": "release",
"configurePreset": "release"
},
{
"name": "debug",
"configurePreset": "debug"
},
{
"name": "sanitize",
"configurePreset": "sanitize"
},
{
"name": "sandebug",
"configurePreset": "sandebug"
}
],
"testPresets": [
{
"name": "release",
"configurePreset": "release",
"output": {"outputOnFailure": true, "shortProgress": true}
},
{
"name": "debug",
"configurePreset": "debug",
"inherits": "release"
},
{
"name": "sanitize",
"configurePreset": "sanitize",
"inherits": "release"
},
{
"name": "sandebug",
"configurePreset": "sandebug",
"inherits": "release"
}
]
}

View File

@@ -4,20 +4,22 @@
# Listed persons will automatically be asked by GitHub to review a PR touching these paths.
# If multiple names are listed, a review by any of them is considered sufficient by default.
/.github/ @kim-em
/RELEASES.md @kim-em
/.github/ @Kha @semorrison
/RELEASES.md @semorrison
/src/kernel/ @leodemoura
/src/lake/ @tydeu
/src/Lean/Compiler/ @leodemoura
/src/Lean/Data/Lsp/ @mhuisi
/src/Lean/Elab/Deriving/ @kim-em
/src/Lean/Elab/Tactic/ @kim-em
/src/Lean/Elab/Deriving/ @semorrison
/src/Lean/Elab/Tactic/ @semorrison
/src/Lean/Language/ @Kha
/src/Lean/Meta/Tactic/ @leodemoura
/src/Lean/PrettyPrinter/ @kmill
/src/Lean/Parser/ @Kha
/src/Lean/PrettyPrinter/ @Kha
/src/Lean/PrettyPrinter/Delaborator/ @kmill
/src/Lean/Server/ @mhuisi
/src/Lean/Widget/ @Vtec234
/src/Init/Data/ @kim-em
/src/Init/Data/ @semorrison
/src/Init/Data/Array/Lemmas.lean @digama0
/src/Init/Data/List/Lemmas.lean @digama0
/src/Init/Data/List/BasicAux.lean @digama0
@@ -40,7 +42,4 @@
/src/Lean/Elab/Tactic/Guard.lean @digama0
/src/Init/Guard.lean @digama0
/src/Lean/Server/CodeActions/ @digama0
/src/Std/ @TwoFX
/src/Std/Tactic/BVDecide/ @hargoniX
/src/Lean/Elab/Tactic/BVDecide/ @hargoniX
/src/Std/Sat/ @hargoniX

View File

@@ -63,20 +63,6 @@ Because the change will be squashed, there is no need to polish the commit messa
Reviews and Feedback:
----
The lean4 repo is managed by the Lean FRO's *triage team* that aims to provide initial feedback on new bug reports, PRs, and RFCs weekly.
This feedback generally consists of prioritizing the ticket using one of the following categories:
* label `P-high`: We will work on this issue
* label `P-medium`: We may work on this issue if we find the time
* label `P-low`: We are not planning to work on this issue
* *closed*: This issue is already fixed, it is not an issue, or is not sufficiently compatible with our roadmap for the project and we will not work on it nor accept external contributions on it
For *bug reports*, the listed priority reflects our commitment to fixing the issue.
It is generally indicative but not necessarily identical to the priority an external contribution addressing this bug would receive.
For *PRs* and *RFCs*, the priority reflects our commitment to reviewing them and getting them to an acceptable state.
Accepted RFCs are marked with the label `RFC accepted` and afterwards assigned a new "implementation" priority as with bug reports.
General guidelines for interacting with reviews and feedback:
**Be Patient**: Given the limited number of full-time maintainers and the volume of PRs, reviews may take some time.
**Engage Constructively**: Always approach feedback positively and constructively. Remember, reviews are about ensuring the best quality for the project, not personal criticism.

View File

@@ -1341,33 +1341,3 @@ whether future versions of the GNU Lesser General Public License shall
apply, that proxy's public statement of acceptance of any version is
permanent authorization for you to choose that version for the
Library.
==============================================================================
CaDiCaL is under the MIT License:
==============================================================================
MIT License
Copyright (c) 2016-2021 Armin Biere, Johannes Kepler University Linz, Austria
Copyright (c) 2020-2021 Mathias Fleury, Johannes Kepler University Linz, Austria
Copyright (c) 2020-2021 Nils Froleyks, Johannes Kepler University Linz, Austria
Copyright (c) 2022-2024 Katalin Fazekas, Vienna University of Technology, Austria
Copyright (c) 2021-2024 Armin Biere, University of Freiburg, Germany
Copyright (c) 2021-2024 Mathias Fleury, University of Freiburg, Germany
Copyright (c) 2023-2024 Florian Pollitt, University of Freiburg, Germany
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View File

@@ -6,8 +6,7 @@ This is the repository for **Lean 4**.
- [Homepage](https://lean-lang.org)
- [Theorem Proving Tutorial](https://lean-lang.org/theorem_proving_in_lean4/)
- [Functional Programming in Lean](https://lean-lang.org/functional_programming_in_lean/)
- [Documentation Overview](https://lean-lang.org/lean4/doc/)
- [Language Reference](https://lean-lang.org/doc/reference/latest/)
- [Manual](https://lean-lang.org/lean4/doc/)
- [Release notes](RELEASES.md) starting at v4.0.0-m3
- [Examples](https://lean-lang.org/lean4/doc/examples.html)
- [External Contribution Guidelines](CONTRIBUTING.md)

File diff suppressed because it is too large Load Diff

View File

@@ -13,13 +13,61 @@
- [The Well-Typed Interpreter](examples/interp.lean.md)
- [Dependent de Bruijn Indices](examples/deBruijn.lean.md)
- [Parametric Higher-Order Abstract Syntax](examples/phoas.lean.md)
- [Syntax Examples](./syntax_examples.md)
- [Balanced Parentheses](./syntax_example.md)
- [Arithmetic DSL](./metaprogramming-arith.md)
# Language Manual
- [The Lean Reference Manual](./reference.md)
<!-- - [Using Lean](./using_lean.md) -->
<!-- - [Lexical Structure](./lexical_structure.md) -->
<!-- - [Expressions](./expressions.md) -->
<!-- - [Declarations](./declarations.md) -->
- [Organizational features](./organization.md)
- [Sections](./sections.md)
- [Namespaces](./namespaces.md)
- [Implicit Arguments](./implicit.md)
- [Auto Bound Implicit Arguments](./autobound.md)
<!-- - [Dependent Types](./deptypes.md) -->
<!-- - [Simple Type Theory](./simptypes.md) -->
<!-- - [Types as objects](./typeobjs.md) -->
<!-- - [Function Abstraction and Evaluation](./funabst.md) -->
<!-- - [Introducing Definitions](./introdef.md) -->
<!-- - [What makes dependent type theory dependent?](./dep.md) -->
<!-- - [Tactics](./tactics.md) -->
- [Syntax Extensions](./syntax.md)
- [The `do` Notation](./do.md)
- [String Interpolation](./stringinterp.md)
- [User-Defined Notation](./notation.md)
- [Macro Overview](./macro_overview.md)
- [Elaborators](./elaborators.md)
- [Examples](./syntax_examples.md)
- [Balanced Parentheses](./syntax_example.md)
- [Arithmetic DSL](./metaprogramming-arith.md)
- [Declaring New Types](./decltypes.md)
- [Enumerated Types](./enum.md)
- [Inductive Types](./inductive.md)
- [Structures](./struct.md)
- [Type classes](./typeclass.md)
- [Unification Hints](./unifhint.md)
- [Builtin Types](./builtintypes.md)
- [Natural number](./nat.md)
- [Integer](./int.md)
- [Fixed precision unsigned integer](./uint.md)
- [Float](./float.md)
- [Array](./array.md)
- [List](./list.md)
- [Character](./char.md)
- [String](./string.md)
- [Option](./option.md)
- [Thunk](./thunk.md)
- [Task and Thread](./task.md)
- [Functions](./functions.md)
- [Monads](./monads/intro.md)
- [Functor](./monads/functors.lean.md)
- [Applicative](./monads/applicatives.lean.md)
- [Monad](./monads/monads.lean.md)
- [Reader](./monads/readers.lean.md)
- [State](./monads/states.lean.md)
- [Except](./monads/except.lean.md)
- [Transformers](./monads/transformers.lean.md)
- [Laws](./monads/laws.lean.md)
# Other

77
doc/array.md Normal file
View File

@@ -0,0 +1,77 @@
# Arrays
The `Array` type implements a *dynamic* (aka growable) array.
It is defined as
```lean
# namespace hidden
structure Array (α : Type u) where
data : List α
# end hidden
```
but its execution time representation is optimized, and it is similar to C++ `std::vector<T>` and Rust `Vec<T>`.
The Lean type checker has no special support for reducing `Array`s.
You can create arrays in several ways. You can create a small array by listing consecutive values between
`#[` and `]` and separated by commas, as shown in the following examples.
```lean
#check #[1, 2, 3] -- Array Nat
#check #[] -- Array ?m
```
The type of the array elements is inferred from the literals used and must be consistent.
```lean
#check #["hello", "world"] -- Array String
-- The following is not valid
#check_failure #[10, "hello"]
```
Recall that the command `#check_failure <term>` only succeeds when the given term is not type correct.
To create an array of size `n` in which all the elements are initialized to some value `a`, use `mkArray`.
```lean
#eval mkArray 5 'a'
-- #['a', 'a', 'a', 'a', 'a']
```
## Accessing elements
You can access array elements by using brackets (`[` and `]`).
```lean
def f (a : Array Nat) (i : Fin a.size) :=
a[i] + a[i]
```
Note that the index `i` has type `Fin a.size`, i.e., it is natural number less than `a.size`.
You can also write
```lean
def f (a : Array Nat) (i : Nat) (h : i < a.size) :=
a[i] + a[i]
```
The bracket operator is whitespace sensitive.
```lean
def f (xs : List Nat) : List Nat :=
xs ++ xs
def as : Array Nat :=
#[1, 2, 3, 4]
def idx : Fin 4 :=
2
#eval f [1, 2, 3] -- This is a function application
#eval as[idx] -- This is an array access
```
The notation `a[i]` has two variants: `a[i]!` and `a[i]?`. In both cases, `i` has type `Nat`. The first one
produces a panic error message if the index `i` is out of bounds. The latter returns an `Option` type.
```lean
#eval #['a', 'b', 'c'][1]?
-- some 'b'
#eval #['a', 'b', 'c'][5]?
-- none
#eval #['a', 'b', 'c'][1]!
-- 'b!
```

47
doc/autobound.md Normal file
View File

@@ -0,0 +1,47 @@
## Auto Bound Implicit Arguments
In the previous section, we have shown how implicit arguments make functions more convenient to use.
However, functions such as `compose` are still quite verbose to define. Note that the universe
polymorphic `compose` is even more verbose than the one previously defined.
```lean
universe u v w
def compose {α : Type u} {β : Type v} {γ : Type w}
(g : β γ) (f : α β) (x : α) : γ :=
g (f x)
```
You can avoid the `universe` command by providing the universe parameters when defining `compose`.
```lean
def compose.{u, v, w}
{α : Type u} {β : Type v} {γ : Type w}
(g : β γ) (f : α β) (x : α) : γ :=
g (f x)
```
Lean 4 supports a new feature called *auto bound implicit arguments*. It makes functions such as
`compose` much more convenient to write. When Lean processes the header of a declaration,
any unbound identifier is automatically added as an implicit argument *if* it is a single lower case or
greek letter. With this feature, we can write `compose` as
```lean
def compose (g : β γ) (f : α β) (x : α) : γ :=
g (f x)
#check @compose
-- {β : Sort u_1} → {γ : Sort u_2} → {α : Sort u_3} → (β → γ) → (α → β) → αγ
```
Note that, Lean inferred a more general type using `Sort` instead of `Type`.
Although we love this feature and use it extensively when implementing Lean,
we realize some users may feel uncomfortable with it. Thus, you can disable it using
the command `set_option autoImplicit false`.
```lean
set_option autoImplicit false
/- The following definition produces `unknown identifier` errors -/
-- def compose (g : β → γ) (f : α → β) (x : α) : γ :=
-- g (f x)
```
The Lean language server provides [semantic highlighting](./semantic_highlighting.md) information to editors, and it provides
visual feedback whether an identifier has been interpreted as an auto bound implicit argument.

View File

@@ -3,7 +3,7 @@ authors = ["Leonardo de Moura", "Sebastian Ullrich"]
language = "en"
multilingual = false
src = "."
title = "Lean Documentation Overview"
title = "Lean Manual"
[build]
build-dir = "out"

25
doc/builtintypes.md Normal file
View File

@@ -0,0 +1,25 @@
# Builtin Types
## Numeric Operations
Lean supports the basic mathematical operations youd expect for all of the number types: addition, subtraction, multiplication, division, and remainder.
The following code shows how youd use each one in a `def` commands:
```lean
-- addition
def sum := 5 + 10
-- subtraction
def difference := 95.5 - 4.3
-- multiplication
def product := 4 * 30
-- division
def quotient := 53.7 / 32.2
-- remainder/modulo
def modulo := 43 % 5
```
Each expression in these statements uses a mathematical operator and evaluates to a single value.

1
doc/char.md Normal file
View File

@@ -0,0 +1 @@
# Characters

29
doc/decltypes.md Normal file
View File

@@ -0,0 +1,29 @@
# Declaring New Types
In Lean's library, every concrete type other than the universes and every type constructor other than the dependent function type is
an instance of a general family of type constructions known as *inductive types*. It is remarkable that it is possible to develop
complex programs and formalize mathematics based on nothing more than the type universes, dependent function types,
and inductive types; everything else follows from those.
Intuitively, an inductive type is built up from a specified list of constructors. In Lean, the basic syntax for specifying such a type is as follows:
```
inductive NewType where
| constructor_1 : ... → NewType
| constructor_2 : ... → NewType
...
| constructor_n : ... → NewType
```
The intuition is that each constructor specifies a way of building new objects of ``NewType``, possibly from previously constructed values.
The type ``NewType`` consists of nothing more than the objects that are constructed in this way.
We will see below that the arguments to the constructors can include objects of type ``NewType``,
subject to a certain "positivity" constraint, which guarantees that elements of ``NewType`` are built
from the bottom up. Roughly speaking, each ``...`` can be any function type constructed from ``NewType``
and previously defined types, in which ``NewType`` appears, if at all, only as the "target" of the function type.
We will provide a number of examples of inductive types. We will also consider slight generalizations of the scheme above,
to mutually defined inductive types, and so-called *inductive families*.
Every inductive type comes with constructors, which show how to construct an element of the type, and elimination rules,
which show how to "use" an element of the type in another construction.

View File

@@ -73,7 +73,7 @@ update the archived C source code of the stage 0 compiler in `stage0/src`.
The github repository will automatically update stage0 on `master` once
`src/stdlib_flags.h` and `stage0/src/stdlib_flags.h` are out of sync.
If you have write access to the lean4 repository, you can also manually
If you have write access to the lean4 repository, you can also also manually
trigger that process, for example to be able to use new features in the compiler itself.
You can do that on <https://github.com/leanprover/lean4/actions/workflows/update-stage0.yml>
or using Github CLI with
@@ -103,21 +103,10 @@ your PR using rebase merge, bypassing the merge queue.
As written above, changes in meta code in the current stage usually will only
affect later stages. This is an issue in two specific cases.
* For the special case of *quotations*, it is desirable to have changes in builtin parsers affect them immediately: when the changes in the parser become active in the next stage, builtin macros implemented via quotations should generate syntax trees compatible with the new parser, and quotation patterns in builtin macros and elaborators should be able to match syntax created by the new parser and macros.
Since quotations capture the syntax tree structure during execution of the current stage and turn it into code for the next stage, we need to run the current stage's builtin parsers in quotations via the interpreter for this to work.
Caveats:
* We activate this behavior by default when building stage 1 by setting `-Dinternal.parseQuotWithCurrentStage=true`.
We force-disable it inside `macro/macro_rules/elab/elab_rules` via `suppressInsideQuot` as they are guaranteed not to run in the next stage and may need to be run in the current one, so the stage 0 parser is the correct one to use for them.
It may be necessary to extend this disabling to functions that contain quotations and are (exclusively) used by one of the mentioned commands. A function using quotations should never be used by both builtin and non-builtin macros/elaborators. Example: https://github.com/leanprover/lean4/blob/f70b7e5722da6101572869d87832494e2f8534b7/src/Lean/Elab/Tactic/Config.lean#L118-L122
* The parser needs to be reachable via an `import` statement, otherwise the version of the previous stage will silently be used.
* Only the parser code (`Parser.fn`) is affected; all metadata such as leading tokens is taken from the previous stage.
For an example, see https://github.com/leanprover/lean4/commit/f9dcbbddc48ccab22c7674ba20c5f409823b4cc1#diff-371387aed38bb02bf7761084fd9460e4168ae16d1ffe5de041b47d3ad2d22422R13
* For *non-builtin* meta code such as `notation`s or `macro`s in
`Notation.lean`, we expect changes to affect the current file and all later
files of the same stage immediately, just like outside the stdlib. To ensure
this, we build stage 1 using `-Dinterpreter.prefer_native=false` -
this, we need to build the stage using `-Dinterpreter.prefer_native=false` -
otherwise, when executing a macro, the interpreter would notice that there is
already a native symbol available for this function and run it instead of the
new IR, but the symbol is from the previous stage!
@@ -135,11 +124,26 @@ affect later stages. This is an issue in two specific cases.
further stages (e.g. after an `update-stage0`) will then need to be compiled
with the flag set to `false` again since they will expect the new signature.
When enabling `prefer_native`, we usually want to *disable* `parseQuotWithCurrentStage` as it would otherwise make quotations use the interpreter after all.
However, there is a specific case where we want to set both options to `true`: when we make changes to a non-builtin parser like `simp` that has a builtin elaborator, we cannot have the new parser be active outside of quotations in stage 1 as the builtin elaborator from stage 0 would not understand them; on the other hand, we need quotations in e.g. the builtin `simp` elaborator to produce the new syntax in the next stage.
As this issue usually affects only tactics, enabling `debug.byAsSorry` instead of `prefer_native` can be a simpler solution.
For an example, see https://github.com/leanprover/lean4/commit/da4c46370d85add64ef7ca5e7cc4638b62823fbb.
For a `prefer_native` example, see https://github.com/leanprover/lean4/commit/da4c46370d85add64ef7ca5e7cc4638b62823fbb.
* For the special case of *quotations*, it is desirable to have changes in
built-in parsers affect them immediately: when the changes in the parser
become active in the next stage, macros implemented via quotations should
generate syntax trees compatible with the new parser, and quotation patterns
in macro and elaborators should be able to match syntax created by the new
parser and macros. Since quotations capture the syntax tree structure during
execution of the current stage and turn it into code for the next stage, we
need to run the current stage's built-in parsers in quotation via the
interpreter for this to work. Caveats:
* Since interpreting full parsers is not nearly as cheap and we rarely change
built-in syntax, this needs to be opted in using `-Dinternal.parseQuotWithCurrentStage=true`.
* The parser needs to be reachable via an `import` statement, otherwise the
version of the previous stage will silently be used.
* Only the parser code (`Parser.fn`) is affected; all metadata such as leading
tokens is taken from the previous stage.
For an example, see https://github.com/leanprover/lean4/commit/f9dcbbddc48ccab22c7674ba20c5f409823b4cc1#diff-371387aed38bb02bf7761084fd9460e4168ae16d1ffe5de041b47d3ad2d22422
(from before the flag defaulted to `false`).
To modify either of these flags both for building and editing the stdlib, adjust
the code in `stage0/src/stdlib_flags.h`. The flags will automatically be reset

View File

@@ -33,9 +33,6 @@ Format of the commit message
- chore (maintain, ex: travis-ci)
- perf (performance improvement, optimization, ...)
Every `feat` or `fix` commit must have a `changelog-*` label, and a commit message
beginning with "This PR " that will be included in the changelog.
``<subject>`` has the following constraints:
- use imperative, present tense: "change" not "changed" nor "changes"
@@ -47,7 +44,6 @@ beginning with "This PR " that will be included in the changelog.
- just as in ``<subject>``, use imperative, present tense
- includes motivation for the change and contrasts with previous
behavior
- If a `changelog-*` label is present, the body must begin with "This PR ".
``<footer>`` is optional and may contain two items:
@@ -64,21 +60,17 @@ Examples
fix: add declarations for operator<<(std::ostream&, expr const&) and operator<<(std::ostream&, context const&) in the kernel
This PR adds declarations `operator<<` for raw printing.
The actual implementation of these two operators is outside of the
kernel. They are implemented in the file 'library/printer.cpp'.
We declare them in the kernel to prevent the following problem.
Suppose there is a file 'foo.cpp' that does not include 'library/printer.h',
kernel. They are implemented in the file 'library/printer.cpp'. We
declare them in the kernel to prevent the following problem. Suppose
there is a file 'foo.cpp' that does not include 'library/printer.h',
but contains
```cpp
expr a;
...
std::cout << a << "\n";
...
```
expr a;
...
std::cout << a << "\n";
...
The compiler does not generate an error message. It silently uses the
operator bool() to coerce the expression into a Boolean. This produces
counter-intuitive behavior, and may confuse developers.

View File

@@ -5,7 +5,7 @@ Some notes on how to debug Lean, which may also be applicable to debugging Lean
## Tracing
In `CoreM` and derived monads, we use `trace[traceCls] "msg with {interpolations}"` to fill the structured trace viewable with `set_option trace.traceCls true`.
In `CoreM` and derived monads, we use `trace![traceCls] "msg with {interpolations}"` to fill the structured trace viewable with `set_option trace.traceCls true`.
New trace classes have to be registered using `registerTraceClass` first.
Notable trace classes:
@@ -22,9 +22,7 @@ Notable trace classes:
In pure contexts or when execution is aborted before the messages are finally printed, one can instead use the term `dbg_trace "msg with {interpolations}"; val` (`;` can also be replaced by a newline), which will print the message to stderr before evaluating `val`. `dbgTraceVal val` can be used as a shorthand for `dbg_trace "{val}"; val`.
Note that if the return value is not actually used, the trace code is silently dropped as well.
By default, such stderr output is buffered and shown as messages after a command has been elaborated, which is necessary to ensure deterministic ordering of messages under parallelism.
If Lean aborts the process before it can finish the command or takes too long to do that, using `-DstderrAsMessages=false` avoids this buffering and shows `dbg_trace` output (but not `trace`s or other diagnostics) immediately.
In the language server, stderr output is buffered and shown as messages after a command has been elaborated, unless the option `server.stderrAsMessages` is deactivated.
## Debuggers

View File

@@ -49,9 +49,8 @@ In the case of `@[extern]` all *irrelevant* types are removed first; see next se
is represented by the representation of that parameter's type.
For example, `{ x : α // p }`, the `Subtype` structure of a value of type `α` and an irrelevant proof, is represented by the representation of `α`.
Similarly, the signed integer types `Int8`, ..., `Int64`, `ISize` are also represented by the unsigned C types `uint8_t`, ..., `uint64_t`, `size_t`, respectively, because they have a trivial structure.
* `Nat` and `Int` are represented by `lean_object *`.
Their runtime values is either a pointer to an opaque bignum object or, if the lowest bit of the "pointer" is 1 (`lean_is_scalar`), an encoded unboxed natural number or integer (`lean_box`/`lean_unbox`).
* `Nat` is represented by `lean_object *`.
Its runtime value is either a pointer to an opaque bignum object or, if the lowest bit of the "pointer" is 1 (`lean_is_scalar`), an encoded unboxed natural number (`lean_box`/`lean_unbox`).
* A universe `Sort u`, type constructor `... → Sort u`, or proposition `p : Prop` is *irrelevant* and is either statically erased (see above) or represented as a `lean_object *` with the runtime value `lean_box(0)`
* Any other type is represented by `lean_object *`.
Its runtime value is a pointer to an object of a subtype of `lean_object` (see the "Inductive types" section below) or the unboxed value `lean_box(cidx)` for the `cidx`th constructor of an inductive type if this constructor does not have any relevant parameters.

View File

@@ -80,10 +80,3 @@ Unlike most Lean projects, all submodules of the `Lean` module begin with the
`prelude` keyword. This disables the automated import of `Init`, meaning that
developers need to figure out their own subset of `Init` to import. This is done
such that changing files in `Init` doesn't force a full rebuild of `Lean`.
### Testing against Mathlib/Batteries
You can test a Lean PR against Mathlib and Batteries by rebasing your PR
on to `nightly-with-mathlib` branch. (It is fine to force push after rebasing.)
CI will generate a branch of Mathlib and Batteries called `lean-pr-testing-NNNN`
that uses the toolchain for your PR, and will report back to the Lean PR with results from Mathlib CI.
See https://leanprover-community.github.io/contribute/tags_and_branches.html for more details.

View File

@@ -5,6 +5,7 @@ See below for the checklist for release candidates.
We'll use `v4.6.0` as the intended release version as a running example.
- One week before the planned release, ensure that someone has written the first draft of the release blog post
- `git checkout releases/v4.6.0`
(This branch should already exist, from the release candidates.)
- `git pull`
@@ -12,6 +13,13 @@ We'll use `v4.6.0` as the intended release version as a running example.
- `set(LEAN_VERSION_MINOR 6)` (for whichever `6` is appropriate)
- `set(LEAN_VERSION_IS_RELEASE 1)`
- (both of these should already be in place from the release candidates)
- It is possible that the `v4.6.0` section of `RELEASES.md` is out of sync between
`releases/v4.6.0` and `master`. This should be reconciled:
- Run `git diff master RELEASES.md`.
- You should expect to see additons on `master` in the `v4.7.0-rc1` section; ignore these.
(i.e. the new release notes for the upcoming release candidate).
- Reconcile discrepancies in the `v4.6.0` section,
usually via copy and paste and a commit to `releases/v4.6.0`.
- `git tag v4.6.0`
- `git push $REMOTE v4.6.0`, where `$REMOTE` is the upstream Lean repository (e.g., `origin`, `upstream`)
- Now wait, while CI runs.
@@ -22,9 +30,8 @@ We'll use `v4.6.0` as the intended release version as a running example.
you may want to start on the release candidate checklist now.
- Go to https://github.com/leanprover/lean4/releases and verify that the `v4.6.0` release appears.
- Edit the release notes on Github to select the "Set as the latest release".
- Follow the instructions in creating a release candidate for the "GitHub release notes" step,
now that we have a written `RELEASES.md` section.
Do a quick sanity check.
- Copy and paste the Github release notes from the previous releases candidate for this version
(e.g. `v4.6.0-rc1`), and quickly sanity check.
- Next, we will move a curated list of downstream repos to the latest stable release.
- For each of the repositories listed below:
- Make a PR to `master`/`main` changing the toolchain to `v4.6.0`
@@ -37,32 +44,17 @@ We'll use `v4.6.0` as the intended release version as a running example.
- Create the tag `v4.6.0` from `master`/`main` and push it.
- Merge the tag `v4.6.0` into the `stable` branch and push it.
- We do this for the repositories:
- [lean4checker](https://github.com/leanprover/lean4checker)
- No dependencies
- Note: `lean4checker` uses a different version tagging scheme: use `toolchain/v4.6.0` rather than `v4.6.0`.
- Toolchain bump PR
- Create and push the tag
- Merge the tag into `stable`
- [Batteries](https://github.com/leanprover-community/batteries)
- No dependencies
- Toolchain bump PR
- Create and push the tag
- Merge the tag into `stable`
- [lean4checker](https://github.com/leanprover/lean4checker)
- No dependencies
- Toolchain bump PR
- Create and push the tag
- Merge the tag into `stable`
- [doc-gen4](https://github.com/leanprover/doc-gen4)
- Dependencies: exist, but they're not part of the release workflow
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- There is no `stable` branch; skip this step
- [Verso](https://github.com/leanprover/verso)
- Dependencies: exist, but they're not part of the release workflow
- The `SubVerso` dependency should be compatible with _every_ Lean release simultaneously, rather than following this workflow
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- There is no `stable` branch; skip this step
- [Cli](https://github.com/leanprover/lean4-cli)
- No dependencies
- Toolchain bump PR
- Create and push the tag
- There is no `stable` branch; skip this step
- [ProofWidgets4](https://github.com/leanprover-community/ProofWidgets4)
- Dependencies: `Batteries`
- Note on versions and branches:
@@ -77,11 +69,12 @@ We'll use `v4.6.0` as the intended release version as a running example.
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- Merge the tag into `stable`
- [import-graph](https://github.com/leanprover-community/import-graph)
- [doc-gen4](https://github.com/leanprover/doc-gen4)
- Dependencies: exist, but they're not part of the release workflow
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- There is no `stable` branch; skip this step
- [plausible](https://github.com/leanprover-community/plausible)
- [import-graph](https://github.com/leanprover-community/import-graph)
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- There is no `stable` branch; skip this step
@@ -89,8 +82,10 @@ We'll use `v4.6.0` as the intended release version as a running example.
- Dependencies: `Aesop`, `ProofWidgets4`, `lean4checker`, `Batteries`, `doc-gen4`, `import-graph`
- Toolchain bump PR notes:
- In addition to updating the `lean-toolchain` and `lakefile.lean`,
in `.github/workflows/lean4checker.yml` update the line
`git checkout v4.6.0` to the appropriate tag.
in `.github/workflows/build.yml.in` in the `lean4checker` section update the line
`git checkout toolchain/v4.6.0` to the appropriate tag,
and then run `.github/workflows/mk_build_yml.sh`. Coordinate with
a Mathlib maintainer to get this merged.
- Push the PR branch to the main Mathlib repository rather than a fork, or CI may not work reliably
- Create and push the tag
- Create a new branch from the tag, push it, and open a pull request against `stable`.
@@ -102,11 +97,6 @@ We'll use `v4.6.0` as the intended release version as a running example.
- Toolchain bump PR including updated Lake manifest
- Create and push the tag
- Merge the tag into `stable`
- Run `scripts/release_checklist.py v4.6.0` to check that everything is in order.
- The `v4.6.0` section of `RELEASES.md` is out of sync between
`releases/v4.6.0` and `master`. This should be reconciled:
- Replace the `v4.6.0` section on `master` with the `v4.6.0` section on `releases/v4.6.0`
and commit this to `master`.
- Merge the release announcement PR for the Lean website - it will be deployed automatically
- Finally, make an announcement!
This should go in https://leanprover.zulipchat.com/#narrow/stream/113486-announce, with topic `v4.6.0`.
@@ -117,6 +107,7 @@ We'll use `v4.6.0` as the intended release version as a running example.
## Optimistic(?) time estimates:
- Initial checks and push the tag: 30 minutes.
- Note that if `RELEASES.md` has discrepancies this could take longer!
- Waiting for the release: 60 minutes.
- Fixing release notes: 10 minutes.
- Bumping toolchains in downstream repositories, up to creating the Mathlib PR: 30 minutes.
@@ -143,8 +134,14 @@ We'll use `v4.7.0-rc1` as the intended release version in this example.
git checkout nightly-2024-02-29
git checkout -b releases/v4.7.0
```
- In `RELEASES.md` replace `Development in progress` in the `v4.7.0` section with `Release notes to be written.`
- It is essential to choose the nightly that will become the release candidate as early as possible, to avoid confusion.
- In `RELEASES.md` remove `(development in progress)` from the `v4.7.0` section header.
- Our current goal is to have written release notes only about major language features or breaking changes,
and to rely on automatically generated release notes for bugfixes and minor changes.
- Do not wait on `RELEASES.md` being perfect before creating the `release/v4.7.0` branch. It is essential to choose the nightly which will become the release candidate as early as possible, to avoid confusion.
- If there are major changes not reflected in `RELEASES.md` already, you may need to solicit help from the authors.
- Minor changes and bug fixes do not need to be documented in `RELEASES.md`: they will be added automatically on the Github release page.
- Commit your changes to `RELEASES.md`, and push.
- Remember that changes to `RELEASES.md` after you have branched `releases/v4.7.0` should also be cherry-picked back to `master`.
- In `src/CMakeLists.txt`,
- verify that you see `set(LEAN_VERSION_MINOR 7)` (for whichever `7` is appropriate); this should already have been updated when the development cycle began.
- `set(LEAN_VERSION_IS_RELEASE 1)` (this should be a change; on `master` and nightly releases it is always `0`).
@@ -154,38 +151,37 @@ We'll use `v4.7.0-rc1` as the intended release version in this example.
- Now wait, while CI runs.
- You can monitor this at `https://github.com/leanprover/lean4/actions/workflows/ci.yml`, looking for the `v4.7.0-rc1` tag.
- This step can take up to an hour.
- (GitHub release notes) Once the release appears at https://github.com/leanprover/lean4/releases/
- Verify that the release is marked as a prerelease (this should have been done automatically by the CI release job).
- In the "previous tag" dropdown, select `v4.6.0`, and click "Generate release notes".
This will add a list of all the commits since the last stable version.
- Once the release appears at https://github.com/leanprover/lean4/releases/
- Edit the release notes on Github to select the "Set as a pre-release box".
- Copy the section of `RELEASES.md` for this version into the Github release notes.
- Use the title "Changes since v4.6.0 (from RELEASES.md)"
- Then in the "previous tag" dropdown, select `v4.6.0`, and click "Generate release notes".
- This will add a list of all the commits since the last stable version.
- Delete anything already mentioned in the hand-written release notes above.
- Delete "update stage0" commits, and anything with a completely inscrutable commit message.
- Briefly rearrange the remaining items by category (e.g. `simp`, `lake`, `bug fixes`),
but for minor items don't put any work in expanding on commit messages.
- (How we want to release notes to look is evolving: please update this section if it looks wrong!)
- Next, we will move a curated list of downstream repos to the release candidate.
- This assumes that for each repository either:
* There is already a *reviewed* branch `bump/v4.7.0` containing the required adaptations.
The preparation of this branch is beyond the scope of this document.
* The repository does not need any changes to move to the new version.
- This assumes that there is already a *reviewed* branch `bump/v4.7.0` on each repository
containing the required adaptations (or no adaptations are required).
The preparation of this branch is beyond the scope of this document.
- For each of the target repositories:
- If the repository does not need any changes (i.e. `bump/v4.7.0` does not exist) then create
a new PR updating `lean-toolchain` to `leanprover/lean4:v4.7.0-rc1` and running `lake update`.
- Otherwise:
- Checkout the `bump/v4.7.0` branch.
- Verify that the `lean-toolchain` is set to the nightly from which the release candidate was created.
- `git merge origin/master`
- Change the `lean-toolchain` to `leanprover/lean4:v4.7.0-rc1`
- In `lakefile.lean`, change any dependencies which were using `nightly-testing` or `bump/v4.7.0` branches
back to `master` or `main`, and run `lake update` for those dependencies.
- Run `lake build` to ensure that dependencies are found (but it's okay to stop it after a moment).
- `git commit`
- `git push`
- Open a PR from `bump/v4.7.0` to `master`, and either merge it yourself after CI, if appropriate,
or notify the maintainers that it is ready to go.
- Once the PR has been merged, tag `master` with `v4.7.0-rc1` and push this tag.
- Checkout the `bump/v4.7.0` branch.
- Verify that the `lean-toolchain` is set to the nightly from which the release candidate was created.
- `git merge origin/master`
- Change the `lean-toolchain` to `leanprover/lean4:v4.7.0-rc1`
- In `lakefile.lean`, change any dependencies which were using `nightly-testing` or `bump/v4.7.0` branches
back to `master` or `main`, and run `lake update` for those dependencies.
- Run `lake build` to ensure that dependencies are found (but it's okay to stop it after a moment).
- `git commit`
- `git push`
- Open a PR from `bump/v4.7.0` to `master`, and either merge it yourself after CI, if appropriate,
or notify the maintainers that it is ready to go.
- Once this PR has been merged, tag `master` with `v4.7.0-rc1` and push this tag.
- We do this for the same list of repositories as for stable releases, see above.
As above, there are dependencies between these, and so the process above is iterative.
It greatly helps if you can merge the `bump/v4.7.0` PRs yourself!
It is essential for Mathlib CI that you then create the next `bump/v4.8.0` branch
for the next development cycle.
Set the `lean-toolchain` file on this branch to same `nightly` you used for this release.
- For Batteries/Aesop/Mathlib, which maintain a `nightly-testing` branch, make sure there is a tag
`nightly-testing-2024-02-29` with date corresponding to the nightly used for the release
(create it if not), and then on the `nightly-testing` branch `git reset --hard master`, and force push.
@@ -196,21 +192,8 @@ We'll use `v4.7.0-rc1` as the intended release version in this example.
Please also make sure that whoever is handling social media knows the release is out.
- Begin the next development cycle (i.e. for `v4.8.0`) on the Lean repository, by making a PR that:
- Updates `src/CMakeLists.txt` to say `set(LEAN_VERSION_MINOR 8)`
- Replaces the "release notes will be copied" text in the `v4.6.0` section of `RELEASES.md` with the
finalized release notes from the `releases/v4.6.0` branch.
- Replaces the "development in progress" in the `v4.7.0` section of `RELEASES.md` with
```
Release candidate, release notes will be copied from the branch `releases/v4.7.0` once completed.
```
and inserts the following section before that section:
```
v4.8.0
----------
Development in progress.
```
- Removes all the entries from the `./releases_drafts/` folder.
- Titled "chore: begin development cycle for v4.8.0"
- Removes `(in development)` from the section heading in `RELEASES.md` for `v4.7.0`,
and creates a new `v4.8.0 (in development)` section heading.
## Time estimates:
Slightly longer than the corresponding steps for a stable release.
@@ -235,27 +218,12 @@ Please read https://leanprover-community.github.io/contribute/tags_and_branches.
* This can either be done by the person managing this process directly,
or by soliciting assistance from authors of files, or generally helpful people on Zulip!
* Each repo has a `bump/v4.7.0` which accumulates reviewed changes adapting to new versions.
* Once `nightly-testing` is working on a given nightly, say `nightly-2024-02-15`, we will create a PR to `bump/v4.7.0`.
* For Mathlib, there is a script in `scripts/create-adaptation-pr.sh` that automates this process.
* For Batteries and Aesop it is currently manual.
* For all of these repositories, the process is the same:
* Once `nightly-testing` is working on a given nightly, say `nightly-2024-02-15`, we:
* Make sure `bump/v4.7.0` is up to date with `master` (by merging `master`, no PR necessary)
* Create from `bump/v4.7.0` a `bump/nightly-2024-02-15` branch.
* In that branch, `git merge nightly-testing` to bring across changes from `nightly-testing`.
* In that branch, `git merge --squash nightly-testing` to bring across changes from `nightly-testing`.
* Sanity check changes, commit, and make a PR to `bump/v4.7.0` from the `bump/nightly-2024-02-15` branch.
* Solicit review, merge the PR into `bump/v4.7.0`.
* Solicit review, merge the PR into `bump/v4,7,0`.
* It is always okay to merge in the following directions:
`master` -> `bump/v4.7.0` -> `bump/nightly-2024-02-15` -> `nightly-testing`.
Please remember to push any merges you make to intermediate steps!
# Writing the release notes
Release notes are automatically generated from the commit history, using `script/release_notes.py`.
Run this as `script/release_notes.py v4.6.0`, where `v4.6.0` is the *previous* release version. This will generate output
for all commits since that tag. Note that there is output on both stderr, which should be manually reviewed,
and on stdout, which should be manually copied to `RELEASES.md`.
There can also be pre-written entries in `./releases_drafts`, which should be all incorporated in the release notes and then deleted from the branch.
See `./releases_drafts/README.md` for more information.

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# The `do` notation
Lean is a pure functional programming language, but you can write effectful code using the `do` embedded domain specific language (DSL). The following simple program prints two strings "hello" and "world" in the standard output and terminates with exit code 0. Note that the type of the program is `IO UInt32`. You can read this type as the type of values that perform input-output effects and produce a value of type `UInt32`.
```lean
def main : IO UInt32 := do
IO.println "hello"
IO.println "world"
return 0
```
The type of `IO.println` is `String → IO Unit`. That is, it is a function from `String` to `IO Unit` which indicates it may perform input-output effects and produce a value of type `Unit`. We often say that functions that may perform effects are *methods*.
We also say a method application, such as `IO.println "hello"` is an *action*.
Note that the examples above also demonstrates that braceless `do` blocks are whitespace sensitive.
If you like `;`s and curly braces, you can write the example above as
```lean
def main : IO UInt32 := do {
IO.println "hello";
IO.println "world";
return 0;
}
```
Semicolons can be used even when curly braces are not used. They are particularly useful when you want to "pack" more than one action in a single line.
```lean
def main : IO UInt32 := do
IO.println "hello"; IO.println "world"
return 0
```
Whitespace sensitivity in programming languages is a controversial topic
among programmers. You should use your own style. We, the Lean developers, **love** the
braceless and semicolon-free style.
We believe it is clean and beautiful.
The `do` DSL expands into the core Lean language. Let's inspect the different components using the commands `#print` and `#check`.
```lean
# def main : IO UInt32 := do
# IO.println "hello"
# IO.println "world"
# return 0
#check IO.println "hello"
-- IO Unit
#print main
-- Output contains the infix operator `>>=` and `pure`
-- The following `set_option` disables notation such as `>>=` in the output
set_option pp.notation false in
#print main
-- Output contains `bind` and `pure`
#print bind
-- bind : {m : Type u → Type v} → [self : Bind m] → {α β : Type u} →
-- m α → (α → m β) → m β
#print pure
-- pure : {m : Type u → Type v} → [self : Pure m] → {α : Type u} →
-- α → m α
-- IO implements the type classes `Bind` and `Pure`.
#check (inferInstance : Bind IO)
#check (inferInstance : Pure IO)
```
The types of `bind` and `pure` may look daunting at first sight.
They both have many implicit arguments. Let's focus first on the explicit arguments.
`bind` has two explicit arguments `m α` and `α → m β`. The first one should
be viewed as an action with effects `m` and producing a value of type `α`.
The second is a function that takes a value of type `α` and produces an action
with effects `m` and a value of type `β`. The result is `m β`. The method `bind` is composing
these two actions. We often say `bind` is an abstract semicolon. The method `pure` converts
a value `α` into an action that produces an action `m α`.
Here is the same function being defined using `bind` and `pure` without the `do` DSL.
```lean
def main : IO UInt32 :=
bind (IO.println "hello") fun _ =>
bind (IO.println "world") fun _ =>
pure 0
```
The notations `let x <- action1; action2` and `let x ← action1; action2` are just syntax sugar for `bind action1 fun x => action2`.
Here is a small example using it.
```lean
def isGreaterThan0 (x : Nat) : IO Bool := do
IO.println s!"value: {x}"
return x > 0
def f (x : Nat) : IO Unit := do
let c <- isGreaterThan0 x
if c then
IO.println s!"{x} is greater than 0"
else
pure ()
#eval f 10
-- value: 10
-- 10 is greater than 0
```
## Nested actions
Note that we cannot write `if isGreaterThan0 x then ... else ...` because the condition in a `if-then-else` is a **pure** value without effects, but `isGreaterThan0 x` has type `IO Bool`. You can use the nested action notation to avoid this annoyance. Here is an equivalent definition for `f` using a nested action.
```lean
# def isGreaterThan0 (x : Nat) : IO Bool := do
# IO.println s!"x: {x}"
# return x > 0
def f (x : Nat) : IO Unit := do
if (<- isGreaterThan0 x) then
IO.println s!"{x} is greater than 0"
else
pure ()
#print f
```
Lean "lifts" the nested actions and introduces the `bind` for us.
Here is an example with two nested actions. Note that both actions are executed
even if `x = 0`.
```lean
# def isGreaterThan0 (x : Nat) : IO Bool := do
# IO.println s!"x: {x}"
# return x > 0
def f (x y : Nat) : IO Unit := do
if (<- isGreaterThan0 x) && (<- isGreaterThan0 y) then
IO.println s!"{x} and {y} are greater than 0"
else
pure ()
#eval f 0 10
-- value: 0
-- value: 10
-- The function `f` above is equivalent to
def g (x y : Nat) : IO Unit := do
let c1 <- isGreaterThan0 x
let c2 <- isGreaterThan0 y
if c1 && c2 then
IO.println s!"{x} and {y} are greater than 0"
else
pure ()
theorem fgEqual : f = g :=
rfl -- proof by reflexivity
```
Here are two ways to achieve the short-circuit semantics in the example above
```lean
# def isGreaterThan0 (x : Nat) : IO Bool := do
# IO.println s!"x: {x}"
# return x > 0
def f1 (x y : Nat) : IO Unit := do
if (<- isGreaterThan0 x <&&> isGreaterThan0 y) then
IO.println s!"{x} and {y} are greater than 0"
else
pure ()
-- `<&&>` is the effectful version of `&&`
-- Given `x y : IO Bool`, `x <&&> y` : m Bool`
-- It only executes `y` if `x` returns `true`.
#eval f1 0 10
-- value: 0
#eval f1 1 10
-- value: 1
-- value: 10
-- 1 and 10 are greater than 0
def f2 (x y : Nat) : IO Unit := do
if (<- isGreaterThan0 x) then
if (<- isGreaterThan0 y) then
IO.println s!"{x} and {y} are greater than 0"
else
pure ()
else
pure ()
```
## `if-then` notation
In the `do` DSL, we can write `if c then action` as a shorthand for `if c then action else pure ()`. Here is the method `f2` using this shorthand.
```lean
# def isGreaterThan0 (x : Nat) : IO Bool := do
# IO.println s!"x: {x}"
# return x > 0
def f2 (x y : Nat) : IO Unit := do
if (<- isGreaterThan0 x) then
if (<- isGreaterThan0 y) then
IO.println s!"{x} and {y} are greater than 0"
```
## Reassignments
When writing effectful code, it is natural to think imperatively.
For example, suppose we want to create an empty array `xs`,
add `0` if some condition holds, add `1` if another condition holds,
and then print it. In the following example, we use variable
"shadowing" to simulate this kind of "update".
```lean
def f (b1 b2 : Bool) : IO Unit := do
let xs := #[]
let xs := if b1 then xs.push 0 else xs
let xs := if b2 then xs.push 1 else xs
IO.println xs
#eval f true true
-- #[0, 1]
#eval f false true
-- #[1]
#eval f true false
-- #[0]
#eval f false false
-- #[]
```
We can use tuples to simulate updates on multiple variables.
```lean
def f (b1 b2 : Bool) : IO Unit := do
let xs := #[]
let ys := #[]
let (xs, ys) := if b1 then (xs.push 0, ys) else (xs, ys.push 0)
let (xs, ys) := if b2 then (xs.push 1, ys) else (xs, ys.push 1)
IO.println s!"xs: {xs}, ys: {ys}"
#eval f true false
-- xs: #[0], ys: #[1]
```
We can also simulate the control-flow above using *join-points*.
A join-point is a `let` that is always tail called and fully applied.
The Lean compiler implements them using `goto`s.
Here is the same example using join-points.
```lean
def f (b1 b2 : Bool) : IO Unit := do
let jp1 xs ys := IO.println s!"xs: {xs}, ys: {ys}"
let jp2 xs ys := if b2 then jp1 (xs.push 1) ys else jp1 xs (ys.push 1)
let xs := #[]
let ys := #[]
if b1 then jp2 (xs.push 0) ys else jp2 xs (ys.push 0)
#eval f true false
-- xs: #[0], ys: #[1]
```
You can capture complex control-flow using join-points.
The `do` DSL offers the variable reassignment feature to make this kind of code more comfortable to write. In the following example, the `mut` modifier at `let mut xs := #[]` indicates that variable `xs` can be reassigned. The example contains two reassignments `xs := xs.push 0` and `xs := xs.push 1`. The reassignments are compiled using join-points. There is no hidden state being updated.
```lean
def f (b1 b2 : Bool) : IO Unit := do
let mut xs := #[]
if b1 then xs := xs.push 0
if b2 then xs := xs.push 1
IO.println xs
#eval f true true
-- #[0, 1]
```
The notation `x <- action` reassigns `x` with the value produced by the action. It is equivalent to `x := (<- action)`
## Iteration
The `do` DSL provides a unified notation for iterating over datastructures. Here are a few examples.
```lean
def sum (xs : Array Nat) : IO Nat := do
let mut s := 0
for x in xs do
IO.println s!"x: {x}"
s := s + x
return s
#eval sum #[1, 2, 3]
-- x: 1
-- x: 2
-- x: 3
-- 6
-- We can write pure code using the `Id.run <| do` DSL too.
def sum' (xs : Array Nat) : Nat := Id.run <| do
let mut s := 0
for x in xs do
s := s + x
return s
#eval sum' #[1, 2, 3]
-- 6
def sumEven (xs : Array Nat) : IO Nat := do
let mut s := 0
for x in xs do
if x % 2 == 0 then
IO.println s!"x: {x}"
s := s + x
return s
#eval sumEven #[1, 2, 3, 6]
-- x: 2
-- x: 6
-- 8
def splitEvenOdd (xs : List Nat) : IO Unit := do
let mut evens := #[]
let mut odds := #[]
for x in xs do
if x % 2 == 0 then
evens := evens.push x
else
odds := odds.push x
IO.println s!"evens: {evens}, odds: {odds}"
#eval splitEvenOdd [1, 2, 3, 4]
-- evens: #[2, 4], odds: #[1, 3]
def findNatLessThan (x : Nat) (p : Nat Bool) : IO Nat := do
-- [:x] is notation for the range [0, x)
for i in [:x] do
if p i then
return i -- `return` from the `do` block
throw (IO.userError "value not found")
#eval findNatLessThan 10 (fun x => x > 5 && x % 4 == 0)
-- 8
def sumOddUpTo (xs : List Nat) (threshold : Nat) : IO Nat := do
let mut s := 0
for x in xs do
if x % 2 == 0 then
continue -- it behaves like the `continue` statement in imperative languages
IO.println s!"x: {x}"
s := s + x
if s > threshold then
break -- it behaves like the `break` statement in imperative languages
IO.println s!"result: {s}"
return s
#eval sumOddUpTo [2, 3, 4, 11, 20, 31, 41, 51, 107] 40
-- x: 3
-- x: 11
-- x: 31
-- result: 45
-- 45
```
TODO: describe `forIn`
## Try-catch
TODO
## Returning early from a failed match
Inside a `do` block, the pattern `let _ ← <success> | <fail>` will continue with the rest of the block if the match on the left hand side succeeds, but will execute the right hand side and exit the block on failure:
```lean
def showUserInfo (getUsername getFavoriteColor : IO (Option String)) : IO Unit := do
let some n getUsername | IO.println "no username!"
IO.println s!"username: {n}"
let some c getFavoriteColor | IO.println "user didn't provide a favorite color!"
IO.println s!"favorite color: {c}"
-- username: JohnDoe
-- favorite color: red
#eval showUserInfo (pure <| some "JohnDoe") (pure <| some "red")
-- no username
#eval showUserInfo (pure none) (pure <| some "purple")
-- username: JaneDoe
-- user didn't provide a favorite color
#eval showUserInfo (pure <| some "JaneDoe") (pure none)
```
## If-let
Inside a `do` block, users can employ the `if let` pattern to destructure actions:
```lean
def tryIncrement (getInput : IO (Option Nat)) : IO (Except String Nat) := do
if let some n getInput
then return Except.ok n.succ
else return Except.error "argument was `none`"
-- Except.ok 2
#eval tryIncrement (pure <| some 1)
-- Except.error "argument was `none`"
#eval tryIncrement (pure <| none)
```
## Pattern matching
TODO
## Monads
TODO
## ReaderT
TODO
## StateT
TODO
## StateRefT
TODO
## ExceptT
TODO
## MonadLift and automatic lifting
TODO

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@@ -0,0 +1,8 @@
## Elaborators
TODO. See [Lean Together 2021: Metaprogramming in Lean
4](https://youtu.be/hxQ1vvhYN_U) for an overview as well [the
continuation](https://youtu.be/vy4JWIiiXSY) about tactic programming.
For more information on antiquotations, see also §4.1 of [Beyond
Notations: Hygienic Macro Expansion for Theorem Proving
Languages](https://arxiv.org/pdf/2001.10490.pdf#page=11).

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@@ -0,0 +1,190 @@
# Enumerated Types
The simplest kind of inductive type is simply a type with a finite, enumerated list of elements.
The following command declares the enumerated type `Weekday`.
```lean
inductive Weekday where
| sunday : Weekday
| monday : Weekday
| tuesday : Weekday
| wednesday : Weekday
| thursday : Weekday
| friday : Weekday
| saturday : Weekday
```
The `Weekday` type has 7 constructors/elements. The constructors live in the `Weekday` namespace
Think of `sunday`, `monday`, …, `saturday` as being distinct elements of `Weekday`,
with no other distinguishing properties.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
#check Weekday.sunday -- Weekday
#check Weekday.monday -- Weekday
```
You can define functions by pattern matching.
The following function converts a `Weekday` into a natural number.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
def natOfWeekday (d : Weekday) : Nat :=
match d with
| Weekday.sunday => 1
| Weekday.monday => 2
| Weekday.tuesday => 3
| Weekday.wednesday => 4
| Weekday.thursday => 5
| Weekday.friday => 6
| Weekday.saturday => 7
#eval natOfWeekday Weekday.tuesday -- 3
```
It is often useful to group definitions related to a type in a namespace with the same name.
For example, we can put the function above into the ``Weekday`` namespace.
We are then allowed to use the shorter name when we open the namespace.
In the following example, we define functions from ``Weekday`` to ``Weekday`` in the namespace `Weekday`.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
namespace Weekday
def next (d : Weekday) : Weekday :=
match d with
| sunday => monday
| monday => tuesday
| tuesday => wednesday
| wednesday => thursday
| thursday => friday
| friday => saturday
| saturday => sunday
end Weekday
```
It is so common to start a definition with a `match` in Lean, that Lean provides a syntax sugar for it.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
# namespace Weekday
def previous : Weekday -> Weekday
| sunday => saturday
| monday => sunday
| tuesday => monday
| wednesday => tuesday
| thursday => wednesday
| friday => thursday
| saturday => friday
# end Weekday
```
We can use the command `#eval` to test our definitions.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
# namespace Weekday
# def next (d : Weekday) : Weekday :=
# match d with
# | sunday => monday
# | monday => tuesday
# | tuesday => wednesday
# | wednesday => thursday
# | thursday => friday
# | friday => saturday
# | saturday => sunday
# def previous : Weekday -> Weekday
# | sunday => saturday
# | monday => sunday
# | tuesday => monday
# | wednesday => tuesday
# | thursday => wednesday
# | friday => thursday
# | saturday => friday
def toString : Weekday -> String
| sunday => "Sunday"
| monday => "Monday"
| tuesday => "Tuesday"
| wednesday => "Wednesday"
| thursday => "Thursday"
| friday => "Friday"
| saturday => "Saturday"
#eval toString (next sunday) -- "Monday"
#eval toString (next tuesday) -- "Wednesday"
#eval toString (previous wednesday) -- "Tuesday"
#eval toString (next (previous sunday)) -- "Sunday"
#eval toString (next (previous monday)) -- "Monday"
-- ..
# end Weekday
```
We can now prove the general theorem that ``next (previous d) = d`` for any weekday ``d``.
The idea is to perform a proof by cases using `match`, and rely on the fact for each constructor both
sides of the equality reduce to the same term.
```lean
# inductive Weekday where
# | sunday : Weekday
# | monday : Weekday
# | tuesday : Weekday
# | wednesday : Weekday
# | thursday : Weekday
# | friday : Weekday
# | saturday : Weekday
# namespace Weekday
# def next (d : Weekday) : Weekday :=
# match d with
# | sunday => monday
# | monday => tuesday
# | tuesday => wednesday
# | wednesday => thursday
# | thursday => friday
# | friday => saturday
# | saturday => sunday
# def previous : Weekday -> Weekday
# | sunday => saturday
# | monday => sunday
# | tuesday => monday
# | wednesday => tuesday
# | thursday => wednesday
# | friday => thursday
# | saturday => friday
theorem nextOfPrevious (d : Weekday) : next (previous d) = d :=
match d with
| sunday => rfl
| monday => rfl
| tuesday => rfl
| wednesday => rfl
| thursday => rfl
| friday => rfl
| saturday => rfl
# end Weekday
```

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@@ -18,7 +18,7 @@ def ctor (mvarId : MVarId) (idx : Nat) : MetaM (List MVarId) := do
else if h : idx - 1 < ctors.length then
mvarId.apply (.const ctors[idx - 1] us)
else
throwTacticEx `ctor mvarId "invalid index, inductive datatype has only {ctors.length} constructors"
throwTacticEx `ctor mvarId "invalid index, inductive datatype has only {ctors.length} contructors"
open Elab Tactic

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@@ -29,7 +29,7 @@ def ex3 (declName : Name) : MetaM Unit := do
for x in xs do
trace[Meta.debug] "{x} : {← inferType x}"
def myMin [LT α] [DecidableLT α] (a b : α) : α :=
def myMin [LT α] [DecidableRel (α := α) (·<·)] (a b : α) : α :=
if a < b then
a
else

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@@ -1 +0,0 @@
build

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@@ -149,7 +149,7 @@ We now define the constant folding optimization that traverses a term if replace
/-!
The correctness of the `Term.constFold` is proved using induction, case-analysis, and the term simplifier.
We prove all cases but the one for `plus` using `simp [*]`. This tactic instructs the term simplifier to
use hypotheses such as `a = b` as rewriting/simplifications rules.
use hypotheses such as `a = b` as rewriting/simplications rules.
We use the `split` to break the nested `match` expression in the `plus` case into two cases.
The local variables `iha` and `ihb` are the induction hypotheses for `a` and `b`.
The modifier `←` in a term simplifier argument instructs the term simplifier to use the equation as a rewriting rule in

View File

@@ -12,17 +12,17 @@ Remark: this example is based on an example found in the Idris manual.
Vectors
--------
A `Vec` is a list of size `n` whose elements belong to a type `α`.
A `Vector` is a list of size `n` whose elements belong to a type `α`.
-/
inductive Vec (α : Type u) : Nat Type u
| nil : Vec α 0
| cons : α Vec α n Vec α (n+1)
inductive Vector (α : Type u) : Nat Type u
| nil : Vector α 0
| cons : α Vector α n Vector α (n+1)
/-!
We can overload the `List.cons` notation `::` and use it to create `Vec`s.
We can overload the `List.cons` notation `::` and use it to create `Vector`s.
-/
infix:67 " :: " => Vec.cons
infix:67 " :: " => Vector.cons
/-!
Now, we define the types of our simple functional language.
@@ -50,11 +50,11 @@ the builtin instance for `Add Int` as the solution.
/-!
Expressions are indexed by the types of the local variables, and the type of the expression itself.
-/
inductive HasType : Fin n Vec Ty n Ty Type where
inductive HasType : Fin n Vector Ty n Ty Type where
| stop : HasType 0 (ty :: ctx) ty
| pop : HasType k ctx ty HasType k.succ (u :: ctx) ty
inductive Expr : Vec Ty n Ty Type where
inductive Expr : Vector Ty n Ty Type where
| var : HasType i ctx ty Expr ctx ty
| val : Int Expr ctx Ty.int
| lam : Expr (a :: ctx) ty Expr ctx (Ty.fn a ty)
@@ -102,8 +102,8 @@ indexed over the types in scope. Since an environment is just another form of li
to the vector of local variable types, we overload again the notation `::` so that we can use the usual list syntax.
Given a proof that a variable is defined in the context, we can then produce a value from the environment.
-/
inductive Env : Vec Ty n Type where
| nil : Env Vec.nil
inductive Env : Vector Ty n Type where
| nil : Env Vector.nil
| cons : Ty.interp a Env ctx Env (a :: ctx)
infix:67 " :: " => Env.cons
@@ -149,4 +149,4 @@ def fact : Expr ctx (Ty.fn Ty.int Ty.int) :=
(op (·*·) (delay fun _ => app fact (op (·-·) (var stop) (val 1))) (var stop)))
decreasing_by sorry
#eval! fact.interp Env.nil 10
#eval fact.interp Env.nil 10

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@@ -225,7 +225,7 @@ We now define the constant folding optimization that traverses a term if replace
/-!
The correctness of the `constFold` is proved using induction, case-analysis, and the term simplifier.
We prove all cases but the one for `plus` using `simp [*]`. This tactic instructs the term simplifier to
use hypotheses such as `a = b` as rewriting/simplifications rules.
use hypotheses such as `a = b` as rewriting/simplications rules.
We use the `split` to break the nested `match` expression in the `plus` case into two cases.
The local variables `iha` and `ihb` are the induction hypotheses for `a` and `b`.
The modifier `←` in a term simplifier argument instructs the term simplifier to use the equation as a rewriting rule in

View File

@@ -29,7 +29,7 @@ inductive HasType : Expr → Ty → Prop
/-!
We can easily show that if `e` has type `t₁` and type `t₂`, then `t₁` and `t₂` must be equal
by using the `cases` tactic. This tactic creates a new subgoal for every constructor,
by using the the `cases` tactic. This tactic creates a new subgoal for every constructor,
and automatically discharges unreachable cases. The tactic combinator `tac₁ <;> tac₂` applies
`tac₂` to each subgoal produced by `tac₁`. Then, the tactic `rfl` is used to close all produced
goals using reflexivity.
@@ -82,7 +82,9 @@ theorem Expr.typeCheck_correct (h₁ : HasType e ty) (h₂ : e.typeCheck ≠ .un
/-!
Now, we prove that if `Expr.typeCheck e` returns `Maybe.unknown`, then forall `ty`, `HasType e ty` does not hold.
The notation `e.typeCheck` is sugar for `Expr.typeCheck e`. Lean can infer this because we explicitly said that `e` has type `Expr`.
The proof is by induction on `e` and case analysis. Note that the tactic `simp [typeCheck]` is applied to all goal generated by the `induction` tactic, and closes
The proof is by induction on `e` and case analysis. The tactic `rename_i` is used to to rename "inaccessible" variables.
We say a variable is inaccessible if it is introduced by a tactic (e.g., `cases`) or has been shadowed by another variable introduced
by the user. Note that the tactic `simp [typeCheck]` is applied to all goal generated by the `induction` tactic, and closes
the cases corresponding to the constructors `Expr.nat` and `Expr.bool`.
-/
theorem Expr.typeCheck_complete {e : Expr} : e.typeCheck = .unknown ¬ HasType e ty := by

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env bash
source ../../tests/common.sh
exec_check_raw lean -Dlinter.all=false "$f"
exec_check lean -j 0 -Dlinter.all=false "$f"

View File

@@ -4,18 +4,15 @@ open Lean Widget
/-!
# The user-widgets system
Proving and programming are inherently interactive tasks.
Lots of mathematical objects and data structures are visual in nature.
*User widgets* let you associate custom interactive UIs
with sections of a Lean document.
User widgets are rendered in the Lean infoview.
Proving and programming are inherently interactive tasks. Lots of mathematical objects and data
structures are visual in nature. *User widgets* let you associate custom interactive UIs with
sections of a Lean document. User widgets are rendered in the Lean infoview.
![Rubik's cube](../images/widgets_rubiks.png)
## Trying it out
To try it out, type in the following code and place your cursor over the `#widget` command.
You can also [view this manual entry in the online editor](https://live.lean-lang.org/#url=https%3A%2F%2Fraw.githubusercontent.com%2Fleanprover%2Flean4%2Fmaster%2Fdoc%2Fexamples%2Fwidgets.lean).
To try it out, simply type in the following code and place your cursor over the `#widget` command.
-/
@[widget_module]
@@ -24,37 +21,38 @@ def helloWidget : Widget.Module where
import * as React from 'react';
export default function(props) {
const name = props.name || 'world'
return React.createElement('p', {}, 'Hello ' + name + '!')
return React.createElement('p', {}, name + '!')
}"
#widget helloWidget
/-!
If you want to dive into a full sample right away, check out
[`Rubiks`](https://github.com/leanprover-community/ProofWidgets4/blob/main/ProofWidgets/Demos/Rubiks.lean).
This sample uses higher-level widget components from the ProofWidgets library.
[`RubiksCube`](https://github.com/leanprover/lean4-samples/blob/main/RubiksCube/).
Below, we'll explain the system piece by piece.
⚠️ WARNING: All of the user widget APIs are **unstable** and subject to breaking changes.
## Widget modules and instances
## Widget sources and instances
A [widget module](https://leanprover-community.github.io/mathlib4_docs/Lean/Widget/UserWidget.html#Lean.Widget.Module)
is a valid JavaScript [ESModule](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules)
that can execute in the Lean infoview.
Most widget modules export a [React component](https://reactjs.org/docs/components-and-props.html)
as the piece of user interface to be rendered.
To access React, the module can use `import * as React from 'react'`.
Our first example of a widget module is `helloWidget` above.
Widget modules must be registered with the `@[widget_module]` attribute.
A *widget source* is a valid JavaScript [ESModule](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules)
which exports a [React component](https://reactjs.org/docs/components-and-props.html). To access
React, the module must use `import * as React from 'react'`. Our first example of a widget source
is of course the value of `helloWidget.javascript`.
A [widget instance](https://leanprover-community.github.io/mathlib4_docs/Lean/Widget/Types.html#Lean.Widget.WidgetInstance)
is then the identifier of a widget module (e.g. `` `helloWidget ``)
bundled with a value for its props.
This value is passed as the argument to the React component.
In our first invocation of `#widget`, we set it to `.null`.
Try out what happens when you type in:
We can register a widget source with the `@[widget]` attribute, giving it a friendlier name
in the `name` field. This is bundled together in a `UserWidgetDefinition`.
A *widget instance* is then the identifier of a `UserWidgetDefinition` (so `` `helloWidget ``,
not `"Hello"`) associated with a range of positions in the Lean source code. Widget instances
are stored in the *infotree* in the same manner as other information about the source file
such as the type of every expression. In our example, the `#widget` command stores a widget instance
with the entire line as its range. We can think of a widget instance as an instruction for the
infoview: "when the user places their cursor here, please render the following widget".
Every widget instance also contains a `props : Json` value. This value is passed as an argument
to the React component. In our first invocation of `#widget`, we set it to `.null`. Try out what
happens when you type in:
-/
structure HelloWidgetProps where
@@ -64,37 +62,21 @@ structure HelloWidgetProps where
#widget helloWidget with { name? := "<your name here>" : HelloWidgetProps }
/-!
Under the hood, widget instances are associated with a range of positions in the source file.
Widget instances are stored in the *infotree*
in the same manner as other information about the source file
such as the type of every expression.
In our example, the `#widget` command stores a widget instance
with the entire line as its range.
One can think of the infotree entry as an instruction for the infoview:
"when the user places their cursor here, please render the following widget".
-/
💡 NOTE: The RPC system presented below does not depend on JavaScript. However the primary use case
is the web-based infoview in VSCode.
/-!
## Querying the Lean server
💡 NOTE: The RPC system presented below does not depend on JavaScript.
However, the primary use case is the web-based infoview in VSCode.
Besides enabling us to create cool client-side visualizations, user widgets come with the ability
to communicate with the Lean server. Thanks to this, they have the same metaprogramming capabilities
as custom elaborators or the tactic framework. To see this in action, let's implement a `#check`
command as a web input form. This example assumes some familiarity with React.
Besides enabling us to create cool client-side visualizations,
user widgets have the ability to communicate with the Lean server.
Thanks to this, they have the same metaprogramming capabilities
as custom elaborators or the tactic framework.
To see this in action, let's implement a `#check` command as a web input form.
This example assumes some familiarity with React.
The first thing we'll need is to create an *RPC method*.
Meaning "Remote Procedure Call",this is a Lean function callable from widget code
(possibly remotely over the internet).
The first thing we'll need is to create an *RPC method*. Meaning "Remote Procedure Call", this
is basically a Lean function callable from widget code (possibly remotely over the internet).
Our method will take in the `name : Name` of a constant in the environment and return its type.
By convention, we represent the input data as a `structure`.
Since it will be sent over from JavaScript,
we need `FromJson` and `ToJson` instance.
We'll see why the position field is needed later.
By convention, we represent the input data as a `structure`. Since it will be sent over from JavaScript,
we need `FromJson` and `ToJson`. We'll see below why the position field is needed.
-/
structure GetTypeParams where
@@ -105,33 +87,25 @@ structure GetTypeParams where
deriving FromJson, ToJson
/-!
After its argument structure, we define the `getType` method.
RPCs method execute in the `RequestM` monad and must return a `RequestTask α`
where `α` is the "actual" return type.
The `Task` is so that requests can be handled concurrently.
As a first guess, we'd use `Expr` as `α`.
However, expressions in general can be large objects
which depend on an `Environment` and `LocalContext`.
Thus we cannot directly serialize an `Expr` and send it to JavaScript.
Instead, there are two options:
After its arguments, we define the `getType` method. Every RPC method executes in the `RequestM`
monad and must return a `RequestTask α` where `α` is its "actual" return type. The `Task` is so
that requests can be handled concurrently. A first guess for `α` might be `Expr`. However,
expressions in general can be large objects which depend on an `Environment` and `LocalContext`.
Thus we cannot directly serialize an `Expr` and send it to the widget. Instead, there are two
options:
- One is to send a *reference* which points to an object residing on the server. From JavaScript's
point of view, references are entirely opaque, but they can be sent back to other RPC methods for
further processing.
- Two is to pretty-print the expression and send its textual representation called `CodeWithInfos`.
This representation contains extra data which the infoview uses for interactivity. We take this
strategy here.
- One is to send a *reference* which points to an object residing on the server.
From JavaScript's point of view, references are entirely opaque,
but they can be sent back to other RPC methods for further processing.
- The other is to pretty-print the expression and send its textual representation called `CodeWithInfos`.
This representation contains extra data which the infoview uses for interactivity.
We take this strategy here.
RPC methods execute in the context of a file,
but not of any particular `Environment`,
so they don't know about the available `def`initions and `theorem`s.
Thus, we need to pass in a position at which we want to use the local `Environment`.
This is why we store it in `GetTypeParams`.
The `withWaitFindSnapAtPos` method launches a concurrent computation
whose job is to find such an `Environment` for us,
in the form of a `snap : Snapshot`.
With this in hand, we can call `MetaM` procedures
to find out the type of `name` and pretty-print it.
RPC methods execute in the context of a file, but not any particular `Environment` so they don't
know about the available `def`initions and `theorem`s. Thus, we need to pass in a position at which
we want to use the local `Environment`. This is why we store it in `GetTypeParams`. The `withWaitFindSnapAtPos`
method launches a concurrent computation whose job is to find such an `Environment` and a bit
more information for us, in the form of a `snap : Snapshot`. With this in hand, we can call
`MetaM` procedures to find out the type of `name` and pretty-print it.
-/
open Server RequestM in
@@ -147,22 +121,18 @@ def getType (params : GetTypeParams) : RequestM (RequestTask CodeWithInfos) :=
/-!
## Using infoview components
Now that we have all we need on the server side, let's write the widget module.
By importing `@leanprover/infoview`, widgets can render UI components used to implement the infoview itself.
For example, the `<InteractiveCode>` component displays expressions
with `term : type` tooltips as seen in the goal view.
We will use it to implement our custom `#check` display.
Now that we have all we need on the server side, let's write the widget source. By importing
`@leanprover/infoview`, widgets can render UI components used to implement the infoview itself.
For example, the `<InteractiveCode>` component displays expressions with `term : type` tooltips
as seen in the goal view. We will use it to implement our custom `#check` display.
⚠️ WARNING: Like the other widget APIs, the infoview JS API is **unstable** and subject to breaking changes.
The code below demonstrates useful parts of the API.
To make RPC method calls, we invoke the `useRpcSession` hook.
The `useAsync` helper packs the results of an RPC call into an `AsyncState` structure
which indicates whether the call has resolved successfully,
has returned an error, or is still in-flight.
Based on this we either display an `InteractiveCode` component with the result,
`mapRpcError` the error in order to turn it into a readable message,
or show a `Loading..` message, respectively.
The code below demonstrates useful parts of the API. To make RPC method calls, we use the `RpcContext`.
The `useAsync` helper packs the results of a call into an `AsyncState` structure which indicates
whether the call has resolved successfully, has returned an error, or is still in-flight. Based
on this we either display an `InteractiveCode` with the type, `mapRpcError` the error in order
to turn it into a readable message, or show a `Loading..` message, respectively.
-/
@[widget_module]
@@ -170,10 +140,10 @@ def checkWidget : Widget.Module where
javascript := "
import * as React from 'react';
const e = React.createElement;
import { useRpcSession, InteractiveCode, useAsync, mapRpcError } from '@leanprover/infoview';
import { RpcContext, InteractiveCode, useAsync, mapRpcError } from '@leanprover/infoview';
export default function(props) {
const rs = useRpcSession()
const rs = React.useContext(RpcContext)
const [name, setName] = React.useState('getType')
const st = useAsync(() =>
@@ -189,7 +159,7 @@ export default function(props) {
"
/-!
We can now try out the widget.
Finally we can try out the widget.
-/
#widget checkWidget
@@ -199,31 +169,30 @@ We can now try out the widget.
## Building widget sources
While typing JavaScript inline is fine for a simple example,
for real developments we want to use packages from NPM, a proper build system, and JSX.
Thus, most actual widget sources are built with Lake and NPM.
They consist of multiple files and may import libraries which don't work as ESModules by default.
On the other hand a widget module must be a single, self-contained ESModule in the form of a string.
Readers familiar with web development may already have guessed that to obtain such a string, we need a *bundler*.
Two popular choices are [`rollup.js`](https://rollupjs.org/guide/en/)
and [`esbuild`](https://esbuild.github.io/).
If we go with `rollup.js`, to make a widget work with the infoview we need to:
While typing JavaScript inline is fine for a simple example, for real developments we want to use
packages from NPM, a proper build system, and JSX. Thus, most actual widget sources are built with
Lake and NPM. They consist of multiple files and may import libraries which don't work as ESModules
by default. On the other hand a widget source must be a single, self-contained ESModule in the form
of a string. Readers familiar with web development may already have guessed that to obtain such a
string, we need a *bundler*. Two popular choices are [`rollup.js`](https://rollupjs.org/guide/en/)
and [`esbuild`](https://esbuild.github.io/). If we go with `rollup.js`, to make a widget work with
the infoview we need to:
- Set [`output.format`](https://rollupjs.org/guide/en/#outputformat) to `'es'`.
- [Externalize](https://rollupjs.org/guide/en/#external) `react`, `react-dom`, `@leanprover/infoview`.
These libraries are already loaded by the infoview so they should not be bundled.
ProofWidgets provides a working `rollup.js` build configuration in
[rollup.config.js](https://github.com/leanprover-community/ProofWidgets4/blob/main/widget/rollup.config.js).
In the RubiksCube sample, we provide a working `rollup.js` build configuration in
[rollup.config.js](https://github.com/leanprover/lean4-samples/blob/main/RubiksCube/widget/rollup.config.js).
## Inserting text
Besides making RPC calls, widgets can instruct the editor to carry out certain actions.
We can insert text, copy text to the clipboard, or highlight a certain location in the document.
To do this, use the `EditorContext` React context.
This will return an `EditorConnection`
whose `api` field contains a number of methods that interact with the editor.
We can also instruct the editor to insert text, copy text to the clipboard, or
reveal a certain location in the document.
To do this, use the `React.useContext(EditorContext)` React context.
This will return an `EditorConnection` whose `api` field contains a number of methods to
interact with the text editor.
The full API can be viewed [here](https://github.com/leanprover/vscode-lean4/blob/master/lean4-infoview-api/src/infoviewApi.ts#L52).
You can see the full API for this [here](https://github.com/leanprover/vscode-lean4/blob/master/lean4-infoview-api/src/infoviewApi.ts#L52)
-/
@[widget_module]
@@ -243,4 +212,6 @@ export default function(props) {
}
"
/-! Finally, we can try this out: -/
#widget insertTextWidget

View File

@@ -396,7 +396,7 @@ Every expression in Lean has a natural computational interpretation, unless it i
* *β-reduction* : An expression ``(λ x, t) s`` β-reduces to ``t[s/x]``, that is, the result of replacing ``x`` by ``s`` in ``t``.
* *ζ-reduction* : An expression ``let x := s in t`` ζ-reduces to ``t[s/x]``.
* *δ-reduction* : If ``c`` is a defined constant with definition ``t``, then ``c`` δ-reduces to ``t``.
* *δ-reduction* : If ``c`` is a defined constant with definition ``t``, then ``c`` δ-reduces to to ``t``.
* *ι-reduction* : When a function defined by recursion on an inductive type is applied to an element given by an explicit constructor, the result ι-reduces to the specified function value, as described in [Inductive Types](inductive.md).
The reduction relation is transitive, which is to say, is ``s`` reduces to ``s'`` and ``t`` reduces to ``t'``, then ``s t`` reduces to ``s' t'``, ``λ x, s`` reduces to ``λ x, s'``, and so on. If ``s`` and ``t`` reduce to a common term, they are said to be *definitionally equal*. Definitional equality is defined to be the smallest equivalence relation that satisfies all these properties and also includes α-equivalence and the following two relations:

138
doc/flake.lock generated
View File

@@ -18,15 +18,12 @@
}
},
"flake-utils": {
"inputs": {
"systems": "systems"
},
"locked": {
"lastModified": 1710146030,
"narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=",
"lastModified": 1656928814,
"narHash": "sha256-RIFfgBuKz6Hp89yRr7+NR5tzIAbn52h8vT6vXkYjZoM=",
"owner": "numtide",
"repo": "flake-utils",
"rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a",
"rev": "7e2a3b3dfd9af950a856d66b0a7d01e3c18aa249",
"type": "github"
},
"original": {
@@ -38,12 +35,13 @@
"lean": {
"inputs": {
"flake-utils": "flake-utils",
"nixpkgs": "nixpkgs",
"nixpkgs-old": "nixpkgs-old"
"lean4-mode": "lean4-mode",
"nix": "nix",
"nixpkgs": "nixpkgs_2"
},
"locked": {
"lastModified": 0,
"narHash": "sha256-saRAtQ6VautVXKDw1XH35qwP0KEBKTKZbg/TRa4N9Vw=",
"narHash": "sha256-YnYbmG0oou1Q/GE4JbMNb8/yqUVXBPIvcdQQJHBqtPk=",
"path": "../.",
"type": "path"
},
@@ -52,6 +50,22 @@
"type": "path"
}
},
"lean4-mode": {
"flake": false,
"locked": {
"lastModified": 1659020985,
"narHash": "sha256-+dRaXB7uvN/weSZiKcfSKWhcdJVNg9Vg8k0pJkDNjpc=",
"owner": "leanprover",
"repo": "lean4-mode",
"rev": "37d5c99b7b29c80ab78321edd6773200deb0bca6",
"type": "github"
},
"original": {
"owner": "leanprover",
"repo": "lean4-mode",
"type": "github"
}
},
"leanInk": {
"flake": false,
"locked": {
@@ -69,6 +83,22 @@
"type": "github"
}
},
"lowdown-src": {
"flake": false,
"locked": {
"lastModified": 1633514407,
"narHash": "sha256-Dw32tiMjdK9t3ETl5fzGrutQTzh2rufgZV4A/BbxuD4=",
"owner": "kristapsdz",
"repo": "lowdown",
"rev": "d2c2b44ff6c27b936ec27358a2653caaef8f73b8",
"type": "github"
},
"original": {
"owner": "kristapsdz",
"repo": "lowdown",
"type": "github"
}
},
"mdBook": {
"flake": false,
"locked": {
@@ -85,13 +115,65 @@
"type": "github"
}
},
"nix": {
"inputs": {
"lowdown-src": "lowdown-src",
"nixpkgs": "nixpkgs",
"nixpkgs-regression": "nixpkgs-regression"
},
"locked": {
"lastModified": 1657097207,
"narHash": "sha256-SmeGmjWM3fEed3kQjqIAO8VpGmkC2sL1aPE7kKpK650=",
"owner": "NixOS",
"repo": "nix",
"rev": "f6316b49a0c37172bca87ede6ea8144d7d89832f",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nix",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1710889954,
"narHash": "sha256-Pr6F5Pmd7JnNEMHHmspZ0qVqIBVxyZ13ik1pJtm2QXk=",
"lastModified": 1653988320,
"narHash": "sha256-ZaqFFsSDipZ6KVqriwM34T739+KLYJvNmCWzErjAg7c=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "7872526e9c5332274ea5932a0c3270d6e4724f3b",
"rev": "2fa57ed190fd6c7c746319444f34b5917666e5c1",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-22.05-small",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs-regression": {
"locked": {
"lastModified": 1643052045,
"narHash": "sha256-uGJ0VXIhWKGXxkeNnq4TvV3CIOkUJ3PAoLZ3HMzNVMw=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
"type": "github"
}
},
"nixpkgs_2": {
"locked": {
"lastModified": 1657208011,
"narHash": "sha256-BlIFwopAykvdy1DYayEkj6ZZdkn+cVgPNX98QVLc0jM=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "2770cc0b1e8faa0e20eb2c6aea64c256a706d4f2",
"type": "github"
},
"original": {
@@ -101,23 +183,6 @@
"type": "github"
}
},
"nixpkgs-old": {
"flake": false,
"locked": {
"lastModified": 1581379743,
"narHash": "sha256-i1XCn9rKuLjvCdu2UeXKzGLF6IuQePQKFt4hEKRU5oc=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "34c7eb7545d155cc5b6f499b23a7cb1c96ab4d59",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-19.03",
"repo": "nixpkgs",
"type": "github"
}
},
"root": {
"inputs": {
"alectryon": "alectryon",
@@ -129,21 +194,6 @@
"leanInk": "leanInk",
"mdBook": "mdBook"
}
},
"systems": {
"locked": {
"lastModified": 1681028828,
"narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
"owner": "nix-systems",
"repo": "default",
"rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
"type": "github"
},
"original": {
"owner": "nix-systems",
"repo": "default",
"type": "github"
}
}
},
"root": "root",

View File

@@ -17,7 +17,7 @@
};
outputs = inputs@{ self, ... }: inputs.flake-utils.lib.eachDefaultSystem (system:
with inputs.lean.packages.${system}.deprecated; with nixpkgs;
with inputs.lean.packages.${system}; with nixpkgs;
let
doc-src = lib.sourceByRegex ../. ["doc.*" "tests(/lean(/beginEndAsMacro.lean)?)?"];
in {
@@ -44,6 +44,21 @@
mdbook build -d $out
'';
};
# We use a separate derivation instead of `checkPhase` so we can push it but not `doc` to the binary cache
test = stdenv.mkDerivation {
name ="lean-doc-test";
src = doc-src;
buildInputs = [ lean-mdbook stage1.Lean.lean-package strace ];
patchPhase = ''
cd doc
patchShebangs test
'';
buildPhase = ''
mdbook test
touch $out
'';
dontInstall = true;
};
leanInk = (buildLeanPackage {
name = "Main";
src = inputs.leanInk;
@@ -83,6 +98,7 @@
src = ./.;
roots = [
{ mod = "examples"; glob = "submodules"; }
{ mod = "monads"; glob = "submodules"; }
];
};
inked = renderPackage literate;

1
doc/float.md Normal file
View File

@@ -0,0 +1 @@
# Float

153
doc/functions.md Normal file
View File

@@ -0,0 +1,153 @@
# Functions
Functions are the fundamental unit of program execution in any programming language.
As in other languages, a Lean function has a name, can have parameters and take arguments, and has a body.
Lean also supports functional programming constructs such as treating functions as values,
using unnamed functions in expressions, composition of functions to form new functions,
curried functions, and the implicit definition of functions by way of
the partial application of function arguments.
You define functions by using the `def` keyword followed by its name, a parameter list, return type and its body.
The parameter list consists of successive parameters that are separated by spaces.
You can specify an explicit type for each parameter.
If you do not specify a specific argument type, the compiler tries to infer the type from the function body.
An error is returned when it cannot be inferred.
The expression that makes up the function body is typically a compound expression consisting of a number of expressions
that culminate in a final expression that is the return value.
The return type is a colon followed by a type and is optional.
If you do not specify the type of the return value explicitly,
the compiler tries to determine the return type from the final expression.
```lean
def f x := x + 1
```
In the previous example, the function name is `f`, the argument is `x`, which has type `Nat`,
the function body is `x + 1`, and the return value is of type `Nat`.
The following example defines the factorial recursive function using pattern matching.
```lean
def fact x :=
match x with
| 0 => 1
| n+1 => (n+1) * fact n
#eval fact 100
```
By default, Lean only accepts total functions.
The `partial` keyword may be used to define a recursive function without a termination proof; `partial` functions compute in compiled programs, but are opaque in proofs and during type checking.
```lean
partial def g (x : Nat) (p : Nat -> Bool) : Nat :=
if p x then
x
else
g (x+1) p
#eval g 0 (fun x => x > 10)
```
In the previous example, `g x p` only terminates if there is a `y >= x` such that `p y` returns `true`.
Of course, `g 0 (fun x => false)` never terminates.
However, the use of `partial` is restricted to functions whose return type is not empty so the soundness
of the system is not compromised.
```lean,ignore
partial def loop? : α := -- failed to compile partial definition 'loop?', failed to
loop? -- show that type is inhabited and non empty
partial def loop [Inhabited α] : α := -- compiles
loop
example : True := -- accepted
loop
example : False :=
loop -- failed to synthesize instance Inhabited False
```
If we were able to partially define `loop?`, we could prove `False` with it.
# Lambda expressions
A lambda expression is an unnamed function.
You define lambda expressions by using the `fun` keyword. A lambda expression resembles a function definition, except that instead of the `:=` token,
the `=>` token is used to separate the argument list from the function body. As in a regular function definition,
the argument types can be inferred or specified explicitly, and the return type of the lambda expression is inferred from the type of the
last expression in the body.
```lean
def twice (f : Nat -> Nat) (x : Nat) : Nat :=
f (f x)
#eval twice (fun x => x + 1) 3
#eval twice (fun (x : Nat) => x * 2) 3
#eval List.map (fun x => x + 1) [1, 2, 3]
-- [2, 3, 4]
#eval List.map (fun (x, y) => x + y) [(1, 2), (3, 4)]
-- [3, 7]
```
# Syntax sugar for simple lambda expressions
Simple functions can be defined using parentheses and `·` as a placeholder.
```lean
#check (· + 1)
-- fun a => a + 1
#check (2 - ·)
-- fun a => 2 - a
#eval [1, 2, 3, 4, 5].foldl (· * ·) 1
-- 120
def h (x y z : Nat) :=
x + y + z
#check (h · 1 ·)
-- fun a b => h a 1 b
#eval [(1, 2), (3, 4), (5, 6)].map (·.1)
-- [1, 3, 5]
```
In the previous example, the term `(·.1)` is syntax sugar for `fun x => x.1`.
# Pipelining
Pipelining enables function calls to be chained together as successive operations. Pipelining works as follows:
```lean
def add1 x := x + 1
def times2 x := x * 2
#eval times2 (add1 100)
#eval 100 |> add1 |> times2
#eval times2 <| add1 <| 100
```
The result of the previous `#eval` commands is 202.
The forward pipeline `|>` operator takes a function and an argument and return a value.
In contrast, the backward pipeline `<|` operator takes an argument and a function and returns a value.
These operators are useful for minimizing the number of parentheses.
```lean
def add1Times3FilterEven (xs : List Nat) :=
List.filter (· % 2 == 0) (List.map (· * 3) (List.map (· + 1) xs))
#eval add1Times3FilterEven [1, 2, 3, 4]
-- [6, 12]
-- Define the same function using pipes
def add1Times3FilterEven' (xs : List Nat) :=
xs |> List.map (· + 1) |> List.map (· * 3) |> List.filter (· % 2 == 0)
#eval add1Times3FilterEven' [1, 2, 3, 4]
-- [6, 12]
```
Lean also supports the operator `|>.` which combines forward pipeline `|>` operator with the `.` field notation.
```lean
-- Define the same function using pipes
def add1Times3FilterEven'' (xs : List Nat) :=
xs.map (· + 1) |>.map (· * 3) |>.filter (· % 2 == 0)
#eval add1Times3FilterEven'' [1, 2, 3, 4]
-- [6, 12]
```
For users familiar with the Haskell programming language,
Lean also supports the notation `f $ a` for the backward pipeline `f <| a`.

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## Implicit Arguments
Suppose we define the `compose` function as.
```lean
def compose (α β γ : Type) (g : β γ) (f : α β) (x : α) : γ :=
g (f x)
```
The function `compose` takes three types, ``α``, ``β``, and ``γ``, and two functions, ``g : β → γ`` and ``f : α → β``, a value `x : α`, and
returns ``g (f x)``, the composition of ``g`` and ``f``.
We say `compose` is polymorphic over types ``α``, ``β``, and ``γ``. Now, let's use `compose`:
```lean
# def compose (α β γ : Type) (g : β → γ) (f : α → β) (x : α) : γ :=
# g (f x)
def double (x : Nat) := 2*x
def triple (x : Nat) := 3*x
#check compose Nat Nat Nat double triple 10 -- Nat
#eval compose Nat Nat Nat double triple 10 -- 60
def appendWorld (s : String) := s ++ "world"
#check String.length -- String → Nat
#check compose String String Nat String.length appendWorld "hello" -- Nat
#eval compose String String Nat String.length appendWorld "hello" -- 10
```
Because `compose` is polymorphic over types ``α``, ``β``, and ``γ``, we have to provide them in the examples above.
But this information is redundant: one can infer the types from the arguments ``g`` and ``f``.
This is a central feature of dependent type theory: terms carry a lot of information, and often some of that information can be inferred from the context.
In Lean, one uses an underscore, ``_``, to specify that the system should fill in the information automatically.
```lean
# def compose (α β γ : Type) (g : β → γ) (f : α → β) (x : α) : γ :=
# g (f x)
# def double (x : Nat) := 2*x
# def triple (x : Nat) := 3*x
#check compose _ _ _ double triple 10 -- Nat
#eval compose Nat Nat Nat double triple 10 -- 60
# def appendWorld (s : String) := s ++ "world"
# #check String.length -- String → Nat
#check compose _ _ _ String.length appendWorld "hello" -- Nat
#eval compose _ _ _ String.length appendWorld "hello" -- 10
```
It is still tedious, however, to type all these underscores. When a function takes an argument that can generally be inferred from context,
Lean allows us to specify that this argument should, by default, be left implicit. This is done by putting the arguments in curly braces, as follows:
```lean
def compose {α β γ : Type} (g : β → γ) (f : α → β) (x : α) : γ :=
g (f x)
# def double (x : Nat) := 2*x
# def triple (x : Nat) := 3*x
#check compose double triple 10 -- Nat
#eval compose double triple 10 -- 60
# def appendWorld (s : String) := s ++ "world"
# #check String.length -- String → Nat
#check compose String.length appendWorld "hello" -- Nat
#eval compose String.length appendWorld "hello" -- 10
```
All that has changed are the braces around ``α β γ: Type``.
It makes these three arguments implicit. Notationally, this hides the specification of the type,
making it look as though ``compose`` simply takes 3 arguments.
Variables can also be specified as implicit when they are declared with
the ``variable`` command:
```lean
universe u
section
variable {α : Type u}
variable (x : α)
def ident := x
end
variable (α β : Type u)
variable (a : α) (b : β)
#check ident
#check ident a
#check ident b
```
This definition of ``ident`` here has the same effect as the one above.
Lean has very complex mechanisms for instantiating implicit arguments, and we will see that they can be used to infer function types, predicates, and even proofs.
The process of instantiating these "holes," or "placeholders," in a term is part of a bigger process called *elaboration*.
The presence of implicit arguments means that at times there may be insufficient information to fix the meaning of an expression precisely.
An expression like ``ident`` is said to be *polymorphic*, because it can take on different meanings in different contexts.
One can always specify the type ``T`` of an expression ``e`` by writing ``(e : T)``.
This instructs Lean's elaborator to use the value ``T`` as the type of ``e`` when trying to elaborate it.
In the following example, this mechanism is used to specify the desired types of the expressions ``ident``.
```lean
def ident {α : Type u} (a : α) : α := a
#check (ident : Nat → Nat) -- Nat → Nat
```
Numerals are overloaded in Lean, but when the type of a numeral cannot be inferred, Lean assumes, by default, that it is a natural number.
So the expressions in the first two ``#check`` commands below are elaborated in the same way, whereas the third ``#check`` command interprets ``2`` as an integer.
```lean
#check 2 -- Nat
#check (2 : Nat) -- Nat
#check (2 : Int) -- Int
```
Sometimes, however, we may find ourselves in a situation where we have declared an argument to a function to be implicit,
but now want to provide the argument explicitly. If ``foo`` is such a function, the notation ``@foo`` denotes the same function with all
the arguments made explicit.
```lean
# def ident {α : Type u} (a : α) : α := a
variable (α β : Type)
#check @ident -- {α : Type u} → αα
#check @ident α -- αα
#check @ident β -- β → β
#check @ident Nat -- Nat → Nat
#check @ident Bool true -- Bool
```
Notice that now the first ``#check`` command gives the type of the identifier, ``ident``, without inserting any placeholders.
Moreover, the output indicates that the first argument is implicit.
Named arguments enable you to specify an argument for a parameter by matching the argument with
its name rather than with its position in the parameter list. You can use them to specify explicit *and* implicit arguments.
If you don't remember the order of the parameters but know their names, you can send the arguments in any order.
You may also provide the value for an implicit parameter when
Lean failed to infer it. Named arguments also improve the readability of your code by identifying what
each argument represents.
```lean
# def ident {α : Type u} (a : α) : α := a
#check ident (α := Nat) -- Nat → Nat
#check ident (α := Bool) -- Bool → Bool
```

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# Inductive Types
[Theorem Proving in Lean](https://lean-lang.org/theorem_proving_in_lean4/inductive_types.html) has a chapter about inductive datatypes.

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# Integers
The `Int` type represents the arbitrary-precision integers. There are no overflows.
```lean
#eval (100000000000000000 : Int) * 200000000000000000000 * 1000000000000000000000
```
Recall that nonnegative numerals are considered to be a `Nat` if there are no typing constraints.
```lean
#check 1 -- Nat
#check -1 -- Int
#check (1:Int) -- Int
```
The operator `/` for `Int` implements integer division.
```lean
#eval -10 / 4 -- -2
```
Similar to `Nat`, the internal representation of `Int` is optimized. Small integers are
represented by a single machine word. Big integers are implemented using [GMP](https://gmplib.org/manual/) numbers.
We recommend you use fixed precision numeric types only in performance critical code.
The Lean kernel does not have special support for reducing `Int` during type checking.
However, since `Int` is defined as
```lean
# namespace hidden
inductive Int : Type where
| ofNat : Nat Int
| negSucc : Nat Int
# end hidden
```
the type checker will be able reduce `Int` expressions efficiently by relying on the special support for `Nat`.
```lean
theorem ex : -2000000000 * 1000000000 = -2000000000000000000 :=
rfl
```

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@@ -0,0 +1,100 @@
# -*- coding: utf-8 -*-
"""
pygments.lexers.theorem
~~~~~~~~~~~~~~~~~~~~~~~
Lexers for theorem-proving languages.
:copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, default, words
from pygments.token import Text, Comment, Operator, Keyword, Name, String, \
Number, Punctuation, Generic
__all__ = ['Lean4Lexer']
class Lean4Lexer(RegexLexer):
"""
For the `Lean 4 <https://github.com/leanprover/lean4>`_
theorem prover.
.. versionadded:: 2.0
"""
name = 'Lean4'
aliases = ['lean4']
filenames = ['*.lean']
mimetypes = ['text/x-lean']
flags = re.MULTILINE | re.UNICODE
keywords1 = (
'import', 'abbreviation', 'opaque_hint', 'tactic_hint', 'definition',
'renaming', 'inline', 'hiding', 'parameter', 'lemma', 'variable',
'theorem', 'axiom', 'inductive', 'structure', 'universe', 'alias',
'help', 'options', 'precedence', 'postfix', 'prefix',
'infix', 'infixl', 'infixr', 'notation', '#eval',
'#check', '#reduce', '#exit', 'coercion', 'end', 'private', 'using', 'namespace',
'including', 'instance', 'section', 'context', 'protected', 'expose',
'export', 'set_option', 'extends', 'open', 'example',
'constant', 'constants', 'print', 'opaque', 'reducible', 'irreducible',
'def', 'macro', 'elab', 'syntax', 'macro_rules', 'reduce', 'where',
'abbrev', 'noncomputable', 'class', 'attribute', 'synth', 'mutual',
)
keywords2 = (
'forall', 'fun', 'Pi', 'obtain', 'from', 'have', 'show', 'assume',
'take', 'let', 'if', 'else', 'then', 'by', 'in', 'with', 'begin',
'proof', 'qed', 'calc', 'match', 'nomatch', 'do', 'at',
)
keywords3 = (
# Sorts
'Type', 'Prop', 'Sort',
)
operators = (
u'!=', u'#', u'&', u'&&', u'*', u'+', u'-', u'/', u'@', u'!', u'`',
u'-.', u'->', u'.', u'..', u'...', u'::', u':>', u';', u';;', u'<',
u'<-', u'=', u'==', u'>', u'_', u'|', u'||', u'~', u'=>', u'<=', u'>=',
u'/\\', u'\\/', u'', u'Π', u'λ', u'', u'', u'', u'', u'', u'',
u'¬', u'⁻¹', u'', u'', u'', u'', u'', u'', u'', u'×', u'',
u'', u'', u'', u'',
)
punctuation = (u'(', u')', u':', u'{', u'}', u'[', u']', u'', u'',
u':=', u',')
tokens = {
'root': [
(r'\s+', Text),
(r'/-', Comment, 'comment'),
(r'--.*?$', Comment.Single),
(words(keywords1, prefix=r'\b', suffix=r'\b'), Keyword.Namespace),
(words(keywords2, prefix=r'\b', suffix=r'\b'), Keyword),
(words(keywords3, prefix=r'\b', suffix=r'\b'), Keyword.Type),
(words(operators), Name.Builtin.Pseudo),
(words(punctuation), Operator),
(u"[A-Za-z_\u03b1-\u03ba\u03bc-\u03fb\u1f00-\u1ffe\u2100-\u214f]"
u"[A-Za-z_'\u03b1-\u03ba\u03bc-\u03fb\u1f00-\u1ffe\u2070-\u2079"
u"\u207f-\u2089\u2090-\u209c\u2100-\u214f0-9]*", Name),
(r'\d+', Number.Integer),
(r'"', String.Double, 'string'),
(r'[~?][a-z][\w\']*:', Name.Variable)
],
'comment': [
# Multiline Comments
(r'[^/-]', Comment.Multiline),
(r'/-', Comment.Multiline, '#push'),
(r'-/', Comment.Multiline, '#pop'),
(r'[/-]', Comment.Multiline)
],
'string': [
(r'[^\\"]+', String.Double),
(r'\\[n"\\]', String.Escape),
('"', String.Double, '#pop'),
],
}

View File

@@ -128,16 +128,16 @@ Numeric literals can be specified in various bases.
```
numeral : numeral10 | numeral2 | numeral8 | numeral16
numeral10 : [0-9]+ ("_"+ [0-9]+)*
numeral2 : "0" [bB] ("_"* [0-1]+)+
numeral8 : "0" [oO] ("_"* [0-7]+)+
numeral16 : "0" [xX] ("_"* hex_char+)+
numeral10 : [0-9]+
numeral2 : "0" [bB] [0-1]+
numeral8 : "0" [oO] [0-7]+
numeral16 : "0" [xX] hex_char+
```
Floating point literals are also possible with optional exponent:
```
float : numeral10 "." numeral10? [eE[+-]numeral10]
float : [0-9]+ "." [0-9]+ [[eE[+-][0-9]+]
```
For example:
@@ -147,7 +147,6 @@ constant w : Int := 55
constant x : Nat := 26085
constant y : Nat := 0x65E5
constant z : Float := 2.548123e-05
constant b : Bool := 0b_11_01_10_00
```
Note: that negative numbers are created by applying the "-" negation prefix operator to the number, for example:

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# List

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# Macro Overview
The official paper describing the mechanics behind Lean 4's macro system can be
found in [Beyond Notations: Hygienic Macro Expansion for Theorem Proving
Languages](https://arxiv.org/abs/2001.10490) by Sebastian Ullrich and Leonardo
de Moura, and the accompanying repo with example code can be found in the
paper's code [supplement](https://github.com/Kha/macro-supplement). The
supplement also includes a working implementation of the macro expander, so it's
a good case study for people interested in the details.
## What is a macro in Lean?
A macro is a function that takes in a syntax tree and produces a new syntax
tree. Macros are useful for many reasons, but two of the big ones are a)
allowing users to extend the language with new syntactic constructs without
having to actually expand the core language, and b) allowing users to automate
tasks that would otherwise be extremely repetitive, time-consuming, and/or
error-prone.
A motivating example is set builder notation. We would like to be able to write
the set of natural numbers 0, 1, and 2 as just `{0, 1, 2}`. However, Lean does
not natively support this syntax, and the actual definition of a set in Mathlib
does not let us just declare sets in this manner; naively using the set API
would force us to write `Set.insert 1 (Set.insert 2 (Set.singleton 3))`.
Instead, we can teach Lean's macro system to recognize `{0, 1, 2}` as a
shorthand for a composition of existing methods and let it do the repetitive
work of creating the `Set.insert...` invocation for us. In this way, we can have
our more readable and more convenient syntax without having to extend Lean
itself, and while retaining the simple insert/singleton API.
## How macros are handled
The general procedure is as follows:
1. Lean parses a command, creating a Lean syntax tree which contains any
unexpanded macros.
2. Lean repeats the cycle (elaboration ~> (macro hygiene and expansion) ~>
elaboration...)
The cycle in step 2 repeats until there are no more macros which need to be
expanded, and elaboration can finish normally. This repetition is required since
macros can expand to other macros, and may expand to code that needs information
from the elaborator. As you can see, the process of macro parsing and expansion
is interleaved with the parsing and elaboration of non-macro code.
By default, macros in Lean are hygienic, which means the system avoids
accidental name capture when reusing the same name inside and outside the macro.
Users may occasionally want to disable hygiene, which can be accomplished with
the command `set_option hygiene false`. More in-depth information about hygiene
and how it's implemented in the official paper and supplement linked at the top
of this guide.
## Elements of "a" macro (important types)
In the big picture, a macro has two components that must be implemented by the
user, parsers and syntax transformers, where the latter is a function that says
what the input syntax should expand to. There is a third component, syntax
categories, such as `term`, `tactic`, and `command`, but declaring a new syntax
category is not always necessary. When we say "parser" in the context of a
macro, we refer to the core type `Lean.ParserDescr`, which parses elements of
type `Lean.Syntax`, where `Lean.Syntax` represents elements of a Lean syntax
tree. Syntax transformers are functions of type `Syntax -> MacroM Syntax`. Lean
has a synonym for this type, which is simply `Macro`. `MacroM` is a monad that
carries state needed for macro expansion to work nicely, including the info
needed to implement hygiene.
As an example, we again refer to Mathlib's set builder notation:
```lean
/- Declares a parser -/
syntax (priority := high) "{" term,+ "}" : term
/- Declares two expansions/syntax transformers -/
macro_rules
| `({$x}) => `(Set.singleton $x)
| `({$x, $xs:term,*}) => `(Set.insert $x {$xs,*})
/- Provided `Set` has been imported (from Mathlib4), these are all we need for `{1, 2, 3}` to be valid notation to create a literal set -/
```
This example should also make clear the reason why macros (and pretty much all
of Lean 4's metaprogramming facilities) are functions that take an argument of
type `Syntax` e.g. `Syntax -> MacroM Syntax`; the leading syntax element is the
thing that actually triggers the macro expansion by matching with the declared
parser, and as a user, you will almost always be interested in inspecting and
transforming that initial syntax element (though there are cases in which it can
just be ignored, as in the parameter-less exfalso tactic).
Returning briefly to the API provided by Lean, `Lean.Syntax`, is pretty much
what you would expect a basic syntax tree type to look like. Below is a slightly
simplified representation which omits details in the `atom` and `ident`
constructors; users can create atoms and idents which comport with this
simplified representation using the `mkAtom` and `mkIdent` methods provided in
the `Lean` namespace.
```lean
# open Lean
inductive Syntax where
| missing : Syntax
| node (kind : SyntaxNodeKind) (args : Array Syntax) : Syntax
| atom : String -> Syntax
| ident : Name -> Syntax
```
For those interested, `MacroM` is a `ReaderT`:
```lean
# open Lean
abbrev MacroM := ReaderT Macro.Context (EStateM Macro.Exception Macro.State)
```
The other relevant components are defined as follows:
```lean
# open Lean
structure Context where
methods : MethodsRef
mainModule : Name
currMacroScope : MacroScope
currRecDepth : Nat := 0
maxRecDepth : Nat := defaultMaxRecDepth
ref : Syntax
inductive Exception where
| error : Syntax String Exception
| unsupportedSyntax : Exception
structure State where
macroScope : MacroScope
traceMsgs : List (Prod Name String) := List.nil
deriving Inhabited
```
As a review/checklist, the three (sometimes only two depending on whether you
need a new syntax category) components users need to be concerned with are:
0. You may or may not need to declare a new syntax category using
`declare_syntax_cat`
1. Declare a parser with either `syntax` or `macro`
2. Declare an expansion/syntax transformer with either `macro_rules` or `macro`
Parsers and syntax transformers can be declared manually, but use of the pattern
language and `syntax`, `macro_rules`, and `macro` is recommended.
## syntax categories with declare_syntax_cat
`declare_syntax_cat` declares a new syntax category, like `command`, `tactic`,
or mathlib4's `binderterm`. These are the different categories of things that
can be referred to in a quote/antiquote. `declare_syntax_cat` results in a call
to `registerParserCategory` and produces a new parser descriptor:
```lean
set_option trace.Elab.definition true in
declare_syntax_cat binderterm
/-
Output:
[Elab.definition.body] binderterm.quot : Lean.ParserDescr :=
Lean.ParserDescr.node `Lean.Parser.Term.quot 1024
(Lean.ParserDescr.binary `andthen (Lean.ParserDescr.symbol "`(binderterm|")
(Lean.ParserDescr.binary `andthen (Lean.ParserDescr.cat `binderterm 0)
(Lean.ParserDescr.symbol ")")))
-/
```
Declaring a new syntax category like this one automatically declares a quotation
operator `` `(binderterm| ...)``. These pipe prefixes `<thing>|` are used in
syntax quotations to say what category a given quotation is expected to be an
element of. The pipe prefixes are *not* used for elements in the `term` and
`command` categories (since they're considered the default), but need to be used
for everything else.
## Parsers and the `syntax` keyword
Internally, elements of type `Lean.ParserDescr` are implemented as parser
combinators. However, Lean offers the ability to write parsers using the
macro/pattern language by way of the `syntax` keyword. This is the recommended
means of writing parsers. As an example, the parser for the `rwa` (rewrite, then
use assumption) tactic is:
```lean
# open Lean.Parser.Tactic
set_option trace.Elab.definition true in
syntax "rwa " rwRuleSeq (location)? : tactic
/-
which expands to:
[Elab.definition.body] tacticRwa__ : Lean.ParserDescr :=
Lean.ParserDescr.node `tacticRwa__ 1022
(Lean.ParserDescr.binary `andthen
(Lean.ParserDescr.binary `andthen (Lean.ParserDescr.nonReservedSymbol "rwa " false) Lean.Parser.Tactic.rwRuleSeq)
(Lean.ParserDescr.unary `optional Lean.Parser.Tactic.location))
-/
```
Literals are written as double-quoted strings (`"rwa "` expects the literal
sequence of characters `rwa`, while the trailing space provides a hint to the
formatter that it should add a space after `rwa` when pretty printing this
syntax); `rwRuleSeq` and `location` are themselves `ParserDescr`s, and we finish
with `: tactic` specifying that the preceding parser is for an element in the
`tactic` syntax category. The parentheses around `(location)?` are necessary
(rather than `location?`) because Lean 4 allows question marks to be used in
identifiers, so `location?` is one single identifier that ends with a question
mark, which is not what we want.
The name `tacticRwa__` is automatically generated. You can name parser
descriptors declared with the `syntax` keyword like so:
```lean
set_option trace.Elab.definition true in
syntax (name := introv) "introv " (colGt ident)* : tactic
/-
[Elab.definition.body] introv : Lean.ParserDescr :=
Lean.ParserDescr.node `introv 1022
(Lean.ParserDescr.binary `andthen (Lean.ParserDescr.nonReservedSymbol "introv " false)
(Lean.ParserDescr.unary `many
(Lean.ParserDescr.binary `andthen (Lean.ParserDescr.const `colGt) (Lean.ParserDescr.const `ident))))
-/
```
## The pattern language
Available quantifiers are `?` (one or zero occurrences, see note below), `*`
(zero or more occurrences), and `+` (one or more occurrences).
Keep in mind that Lean makes `?` available for use in identifiers, so if we want
a parser to look for an optional `location`, we would need to write
`(location)?` with parenthesis acting as a separator, since `location?` would
look for something under the identifier `location?` (where the `?` is part of
the identifier).
Parentheses can be used as delimiters.
Separated lists can be constructed like so: `$ts,*` for a comma separated list.
"extended splices" can be constructed as `$[..]`. See the official paper (p. 12)
for more details.
Literals are written as double-quoted strings. A literal may use trailing
whitespace (see e.g. the `rwa` or `introv` tactics) to tell the pretty-printer
how it should be displayed, but such whitespace will not prevent a literal with
no trailing whitespace from matching. The spaces are relevant, but not
interpreted literally. When the ParserDescr is turned into a Parser, the actual
token matcher [uses the .trim of the provided
string](https://github.com/leanprover/lean4/blob/53ec43ff9b8f55989b12c271e368287b7b997b54/src/Lean/Parser/Basic.lean#L1193),
but the generated formatter [uses the spaces as
specified](https://github.com/leanprover/lean4/blob/8d370f151f7c88a687152a5b161dcb484c446ce2/src/Lean/PrettyPrinter/Formatter.lean#L328),
that is, turning the atom "rwa" in the syntax into the string rwa as part of the
pretty printed output.
## Syntax expansions with `macro_rules`, and how it desugars.
`macro_rules` lets you declare expansions for a given `Syntax` element using a
syntax similar to a `match` statement. The left-hand side of a match arm is a
quotation (with a leading `<cat>|` for categories other than `term` and
`command`) in which users can specify the pattern they'd like to write an
expansion for. The right-hand side returns a syntax quotation which is the
output the user wants to expand to.
A feature of Lean's macro system is that if there are multiple expansions for a
particular match, Lean will try the most recently declared expansion first, and
will retry with other matching expansions if the previous attempt failed. This
is particularly useful for extending existing tactics.
The following example shows both the retry behavior, and the fact that macros
declared using the shorthand `macro` syntax can still have additional expansions
declared with `macro_rules`. This `transitivity` tactic is implemented such that
it will work for either Nat.le or Nat.lt. The Nat.lt version was declared "most
recently", so it will be tried first, but if it fails (for example, if the
actual term in question is Nat.le) the next potential expansion will be tried:
```lean
macro "transitivity" e:(colGt term) : tactic => `(tactic| apply Nat.le_trans (m := $e))
macro_rules
| `(tactic| transitivity $e) => `(tactic| apply Nat.lt_trans (m := $e))
example (a b c : Nat) (h0 : a < b) (h1 : b < c) : a < c := by
transitivity b <;>
assumption
example (a b c : Nat) (h0 : a <= b) (h1 : b <= c) : a <= c := by
transitivity b <;>
assumption
/- This will fail, but is interesting in that it exposes the "most-recent first" behavior, since the
error message complains about being unable to unify mvar1 <= mvar2, rather than mvar1 < mvar2. -/
/-
example (a b c : Nat) (h0 : a <= b) (h1 : b <= c) : False := by
transitivity b <;>
assumption
-/
```
To see the desugared definition of the actual expansion, we can again use
`set_option trace.Elab.definition true in` and observe the output of the humble
`exfalso` tactic defined in Mathlib4:
```lean
set_option trace.Elab.definition true in
macro "exfalso" : tactic => `(tactic| apply False.elim)
/-
Results in the expansion:
[Elab.definition.body] _aux___macroRules_tacticExfalso_1 : Lean.Macro :=
fun x =>
let discr := x;
/- This is where Lean tries to actually identify that it's an invocation of the exfalso tactic -/
if Lean.Syntax.isOfKind discr `tacticExfalso = true then
let discr := Lean.Syntax.getArg discr 0;
let x := discr;
do
/- Lean getting scope/meta info from the macro monad -/
let info ← Lean.MonadRef.mkInfoFromRefPos
let scp ← Lean.getCurrMacroScope
let mainModule ← Lean.getMainModule
pure
(Lean.Syntax.node Lean.SourceInfo.none `Lean.Parser.Tactic.seq1
#[Lean.Syntax.node Lean.SourceInfo.none `null
#[Lean.Syntax.node Lean.SourceInfo.none `Lean.Parser.Tactic.apply
#[Lean.Syntax.atom info "apply",
Lean.Syntax.ident info (String.toSubstring "False.elim")
(Lean.addMacroScope mainModule `False.elim scp) [(`False.elim, [])]]]])
else
/- If this wasn't actually an invocation of the exfalso tactic, throw the "unsupportedSyntax" error -/
let discr := x;
throw Lean.Macro.Exception.unsupportedSyntax
-/
```
We can also create the syntax transformer declaration ourselves instead of using
`macro_rules`. We'll need to name our parser and use the attribute `@[macro
myExFalsoParser]` to associate our declaration with the parser:
```lean
# open Lean
syntax (name := myExfalsoParser) "myExfalso" : tactic
-- remember that `Macro` is a synonym for `Syntax -> TacticM Unit`
@[macro myExfalsoParser] def implMyExfalso : Macro :=
fun stx => `(tactic| apply False.elim)
example (p : Prop) (h : p) (f : p -> False) : 3 = 2 := by
myExfalso
exact f h
```
In the above example, we're still using the sugar Lean provides for creating
quotations, as it feels more intuitive and saves us some work. It is possible to
forego the sugar altogether:
```lean
syntax (name := myExfalsoParser) "myExfalso" : tactic
@[macro myExfalsoParser] def implMyExfalso : Lean.Macro :=
fun stx => pure (Lean.mkNode `Lean.Parser.Tactic.apply
#[Lean.mkAtomFrom stx "apply", Lean.mkCIdentFrom stx ``False.elim])
example (p : Prop) (h : p) (f : p -> False) : 3 = 2 := by
myExfalso
exact f h
```
## The `macro` keyword
`macro` is a shortcut which allows users to declare both a parser and an
expansion at the same time as a matter of convenience. Additional expansions for
the parser generated by the `macro` invocation can be added with a separate
`macro_rules` block (see the example in the `macro_rules` section).
## Unexpanders
TODO; for now, see the unexpander in Mathlib.Set for an example.
## More illustrative examples:
The
[Tactic.Basic](https://github.com/leanprover-community/mathlib4/blob/master/Mathlib/Tactic/Basic.lean)
file in Mathlib4 contains many good examples to learn from.
## Practical tips:
You can observe the output of commands and functions that in some way use the
macro system by setting this option to true : `set_option trace.Elab.definition
true`
Lean also offers the option of limiting the region in which option is set with
the syntax `set_option ... in`):
Hygiene can be disabled with the command option `set_option hygiene false`

View File

@@ -1,14 +1,9 @@
These are instructions to set up a working development environment for those who wish to make changes to Lean itself. It is part of the [Development Guide](../dev/index.md).
We strongly suggest that new users instead follow the [Quickstart](../quickstart.md) to get started using Lean, since this sets up an environment that can automatically manage multiple Lean toolchain versions, which is necessary when working within the Lean ecosystem.
Requirements
------------
- C++14 compatible compiler
- [CMake](http://www.cmake.org)
- [GMP (GNU multiprecision library)](http://gmplib.org/)
- [LibUV](https://libuv.org/)
Platform-Specific Setup
-----------------------
@@ -22,27 +17,39 @@ Platform-Specific Setup
Generic Build Instructions
--------------------------
Setting up a basic parallelized release build:
Setting up a basic release build:
```bash
git clone https://github.com/leanprover/lean4
git clone https://github.com/leanprover/lean4 --recurse-submodules
cd lean4
cmake --preset release
make -C build/release -j$(nproc || sysctl -n hw.logicalcpu)
mkdir -p build/release
cd build/release
cmake ../..
make
```
You can replace `$(nproc || sysctl -n hw.logicalcpu)` with the desired parallelism amount.
For regular development, we recommend running
```bash
git config submodule.recurse true
```
in the checkout so that `--recurse-submodules` doesn't have to be
specified with `git pull/checkout/...`.
The above commands will compile the Lean library and binaries into the
`stage1` subfolder; see below for details.
`stage1` subfolder; see below for details. Add `-j N` for an
appropriate `N` to `make` for a parallel build.
You should not usually run `cmake --install` after a successful build.
For example, on an AMD Ryzen 9 `make` takes 00:04:55, whereas `make -j 10`
takes 00:01:38. Your results may vary depending on the speed of your hard
drive.
You should not usually run `make install` after a successful build.
See [Dev setup using elan](../dev/index.md#dev-setup-using-elan) on how to properly set up your editor to use the correct stage depending on the source directory.
Useful CMake Configuration Settings
-----------------------------------
Pass these along with the `cmake --preset release` command.
There are also two alternative presets that combine some of these options you can use instead of `release`: `debug` and `sandebug` (sanitize + debug).
Pass these along with the `cmake ../..` command.
* `-D CMAKE_BUILD_TYPE=`\
Select the build type. Valid values are `RELEASE` (default), `DEBUG`,

39
doc/make/msvc.md Normal file
View File

@@ -0,0 +1,39 @@
# Compiling Lean with Visual Studio
WARNING: Compiling Lean with Visual Studio doesn't currently work.
There's an ongoing effort to port Lean to Visual Studio.
The instructions below are for VS 2017.
In the meantime you can use [MSYS2](msys2.md) or [WSL](wsl.md).
## Installing dependencies
First, install `vcpkg` from https://github.com/Microsoft/vcpkg if you haven't
done so already.
Then, open a console in the directory you cloned `vcpkg` to, and type:
`vcpkg install mpir` for the 32-bit library or
`vcpkg install mpir:x64-windows` for the x64 one.
In Visual Studio, use the "open folder" feature and open the Lean directory.
Go to the `CMake->Change CMake Settings` menu. File `CMakeSettings.json` opens.
In each of the targets, add the following snippet (i.e., after every
`ctestCommandArgs`):
```json
"variables": [
{
"name": "CMAKE_TOOLCHAIN_FILE",
"value": "C:\\path\\to\\vcpkg\\scripts\\buildsystems\\vcpkg.cmake"
}
]
```
## Enable Intellisense
In Visual Studio, press Ctrl+Q and type `CppProperties.json` and press Enter.
Ensure `includePath` variables include `"${workspaceRoot}\\src"`.
## Build Lean
Press F7.

View File

@@ -15,24 +15,17 @@ Mode](https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-devi
which will allow Lean to create symlinks that e.g. enable go-to-definition in
the stdlib.
## Installing the Windows SDK
Install the Windows SDK from [Microsoft](https://developer.microsoft.com/en-us/windows/downloads/windows-sdk/).
The oldest supported version is 10.0.18362.0. If you installed the Windows SDK to the default location,
then there should be a directory with the version number at `C:\Program Files (x86)\Windows Kits\10\Include`.
If there are multiple directories, only the highest version number matters.
## Installing dependencies
[The official webpage of MSYS2][msys2] provides one-click installers.
Once installed, you should run the "MSYS2 CLANG64" shell from the start menu (the one that runs `clang64.exe`).
Do not run "MSYS2 MSYS" or "MSYS2 MINGW64" instead!
MSYS2 has a package management system, [pacman][pacman].
Once installed, you should run the "MSYS2 MinGW 64-bit shell" from the start menu (the one that runs `mingw64.exe`).
Do not run "MSYS2 MSYS" instead!
MSYS2 has a package management system, [pacman][pacman], which is used in Arch Linux.
Here are the commands to install all dependencies needed to compile Lean on your machine.
```bash
pacman -S make python mingw-w64-clang-x86_64-cmake mingw-w64-clang-x86_64-clang mingw-w64-clang-x86_64-ccache mingw-w64-clang-x86_64-libuv mingw-w64-clang-x86_64-gmp git unzip diffutils binutils
pacman -S make python mingw-w64-x86_64-cmake mingw-w64-x86_64-clang mingw-w64-x86_64-ccache git unzip diffutils binutils
```
You should now be able to run these commands:
@@ -45,9 +38,10 @@ cmake --version
Then follow the [generic build instructions](index.md) in the MSYS2
MinGW shell, using:
```
cmake --preset release -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++
cmake ../.. -G "Unix Makefiles" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++
```
instead of `cmake --preset release`. This will use the clang compiler instead of gcc, which is required with msys2.
instead of `cmake ../..`. This ensures that cmake will call `sh` instead of `cmd.exe`
for script tasks and it will use the clang compiler instead of gcc, which is required.
## Install lean
@@ -68,9 +62,9 @@ If you want a version that can run independently of your MSYS install
then you need to copy the following dependent DLL's from where ever
they are installed in your MSYS setup:
- libc++.dll
- libgcc_s_seh-1.dll
- libstdc++-6.dll
- libgmp-10.dll
- libuv-1.dll
- libwinpthread-1.dll
The following linux command will do that:
@@ -88,6 +82,6 @@ version clang to your path.
**-bash: gcc: command not found**
Make sure `/clang64/bin` is in your PATH environment. If it is not then
check you launched the MSYS2 CLANG64 shell from the start menu.
(The one that runs `clang64.exe`).
Make sure `/mingw64/bin` is in your PATH environment. If it is not then
check you launched the MSYS2 MinGW 64-bit shell from the start menu.
(The one that runs `mingw64.exe`).

View File

@@ -1,4 +1,4 @@
# Install Packages on OS X 14.5
# Install Packages on OS X 10.9
We assume that you are using [homebrew][homebrew] as a package manager.
@@ -22,7 +22,7 @@ brew install gcc
```
To install clang++-3.5 via homebrew, please execute:
```bash
brew install llvm
brew install llvm --with-clang --with-asan
```
To use compilers other than the default one (Apple's clang++), you
need to use `-DCMAKE_CXX_COMPILER` option to specify the compiler
@@ -32,17 +32,15 @@ following to use `g++`.
cmake -DCMAKE_CXX_COMPILER=g++ ...
```
## Required Packages: CMake, GMP, libuv, pkgconf
## Required Packages: CMake, GMP
```bash
brew install cmake
brew install gmp
brew install libuv
brew install pkgconf
```
## Recommended Packages: CCache
```bash
brew install ccache
```
```

View File

@@ -8,5 +8,5 @@ follow the [generic build instructions](index.md).
## Basic packages
```bash
sudo apt-get install git libgmp-dev libuv1-dev cmake ccache clang pkgconf
sudo apt-get install git libgmp-dev cmake ccache clang
```

1
doc/monads/.gitignore vendored Normal file
View File

@@ -0,0 +1 @@
*.lean.md

View File

@@ -0,0 +1,334 @@
/-!
# Applicative Functors
Building on [Functors](functors.lean.md) is the [Applicative
Functor](https://en.wikipedia.org/wiki/Applicative_functor). For simplicity, you can refer to these
simply as "Applicatives". These are a little tricker than functors, but still simpler than monads.
Let's see how they work!
## What is an Applicative Functor?
An applicative functor defines a default or "base" construction for an object and allows
function application to be chained across multiple instances of the structure. All applicative
functors are functors, meaning they must also support the "map" operation.
## How are Applicatives represented in Lean?
An [applicative functor](https://en.wikipedia.org/wiki/Applicative_functor) is an intermediate
structure between `Functor` and `Monad`. It mainly consists of two operations:
* `pure : α → F α`
* `seq : F (α → β) → F α → F β` (written as `<*>`)
The `pure` operator specifies how you can wrap a normal object `α` into an instance of this structure `F α`.
This is the "default" mechanism mentioned above.
The `seq` operator allows you to chain operations by wrapping a function in a structure. The name
"applicative" comes from the fact that you "apply" functions from within the structure, rather than
simply from outside the structure, as was the case with `Functor.map`.
Applicative in Lean is built on some helper type classes, `Functor`, `Pure` and `Seq`:
-/
namespace hidden -- hidden
class Applicative (f : Type u Type v) extends Functor f, Pure f, Seq f, SeqLeft f, SeqRight f where
map := fun x y => Seq.seq (pure x) fun _ => y
seqLeft := fun a b => Seq.seq (Functor.map (Function.const _) a) b
seqRight := fun a b => Seq.seq (Functor.map (Function.const _ id) a) b
end hidden -- hidden
/-!
Notice that as with `Functor` it is also a type transformer `(f : Type u → Type v)` and notice the
`extends Functor f` is ensuring the base `Functor` also performs that same type transformation.
As stated above, all applicatives are then functors. This means you can assume that `map` already
exists for all these types.
The `Pure` base type class is a very simple type class that supplies the `pure` function.
-/
namespace hidden -- hidden
class Pure (f : Type u Type v) where
pure {α : Type u} : α f α
end hidden -- hidden
/-!
You can think of it as lifting the result of a pure value to some monadic type. The simplest example
of `pure` is the `Option` type:
-/
#eval (pure 10 : Option Nat) -- some 10
/-!
Here we used the `Option` implementation of `pure` to wrap the `Nat 10` value in an `Option Nat`
type resulting in the value `some 10`, and in fact if you look at the Monad instance of `Option` , you
will see that `pure` is indeed implemented using `Option.some`:
-/
instance : Monad Option where
pure := Option.some
/-!
The `Seq` type class is also a simple type class that provides the `seq` operator which can
also be written using the special syntax `<*>`.
-/
namespace hidden -- hidden
class Seq (f : Type u Type v) : Type (max (u+1) v) where
seq : {α β : Type u} f (α β) (Unit f α) f β
end hidden -- hidden
/-!
## Basic Applicative Examples
Many of the basic functors also have instances of `Applicative`.
For example, `Option` is also `Applicative`.
So let's take a look and what the `seq` operator can do. Suppose you want to multiply two `Option Nat`
objects. Your first attempt might be this:
-/
#check_failure (some 4) * (some 5) -- failed to synthesize instance
/-!
You then might wonder how to use the `Functor.map` to solve this since you could do these before:
-/
#eval (some 4).map (fun x => x * 5) -- some 20
#eval (some 4).map (· * 5) -- some 20
#eval (· * 5) <$> (some 4) -- some 20
/-!
Remember that `<$>` is the infix notation for `Functor.map`.
The functor `map` operation can apply a multiplication to the value in the `Option` and then lift the
result back up to become a new `Option` , but this isn't what you need here.
The `Seq.seq` operator `<*>` can help since it can apply a function to the items inside a
container and then lift the result back up to the desired type, namely `Option` .
There are two ways to do this:
-/
#eval pure (.*.) <*> some 4 <*> some 5 -- some 20
#eval (.*.) <$> some 4 <*> some 5 -- some 20
/-!
In the first way, we start off by wrapping the function in an applicative using pure. Then we apply
this to the first `Option` , and again to the second `Option` in a chain of operations. So you can see
how `Seq.seq` can be chained in fact, `Seq.seq` is really all about chaining of operations.
But in this case there is a simpler way. In the second way, you can see that "applying" a single
function to a container is the same as using `Functor.map`. So you use `<$>` to "transform" the first
option into an `Option` containing a function, and then apply this function over the second value.
Now if either side is `none`, the result is `none`, as expected, and in this case the
`seq` operator was able to eliminate the multiplication:
-/
#eval (.*.) <$> none <*> some 5 -- none
#eval (.*.) <$> some 4 <*> none -- none
/-!
For a more interesting example, let's make `List` an applicative by adding the following
definition:
-/
instance : Applicative List where
pure := List.pure
seq f x := List.bind f fun y => Functor.map y (x ())
/-!
Notice you can now sequence a _list_ of functions and a _list_ of items.
The trivial case of sequencing a singleton list is in fact the same as `map`, as you saw
earlier with the `Option` examples:
-/
#eval [ (·+2)] <*> [4, 6] -- [6, 8]
#eval (·+2) <$> [4,6] -- [6, 8]
/-!
But now with list it is easier to show the difference when you do this:
-/
#eval [(·+2), (· *3)] <*> [4, 6] -- [6, 8, 12, 18]
/-!
Why did this produce 4 values? The reason is because `<*>` applies _every_ function to _every_
value in a pairwise manner. This makes sequence really convenient for solving certain problems. For
example, how do you get the pairwise combinations of all values from two lists?
-/
#eval Prod.mk <$> [1, 2, 3] <*> [4, 5, 6]
-- [(1, 4), (1, 5), (1, 6), (2, 4), (2, 5), (2, 6), (3, 4), (3, 5), (3, 6)]
/-!
How do you get the sum of these pairwise values?
-/
#eval (·+·) <$> [1, 2, 3] <*> [4, 5, 6]
-- [5, 6, 7, 6, 7, 8, 7, 8, 9]
/-!
Here you can use `<$>` to "transform" each element of the first list into a function, and then apply
these functions over the second list.
If you have 3 lists, and want to find all combinations of 3 values across those lists you
would need helper function that can create a tuple out of 3 values, and Lean provides a
very convenient syntax for that `(·,·,·)`:
-/
#eval (·,·,·) <$> [1, 2] <*> [3, 4] <*> [5, 6]
-- [(1, 3, 5), (1, 3, 6), (1, 4, 5), (1, 4, 6), (2, 3, 5), (2, 3, 6), (2, 4, 5), (2, 4, 6)]
/-!
And you could sum these combinations if you first define a sum function that takes three inputs and
then you could chain apply this over the three lists. Again lean can create such a function
with the expression `(·+·+·)`:
-/
#eval (·+·+·) <$> [1, 2] <*> [3, 4] <*> [5, 6]
-- [9, 10, 10, 11, 10, 11, 11, 12]
/-!
And indeed each sum here matches the expected values if you manually sum the triples we
show above.
**Side note:** there is another way to combine lists with a function that does not do the pairwise
combinatorics, it is called `List.zipWith`:
-/
#eval List.zipWith (·+·) [1, 2, 3] [4, 5, 6]
-- [5, 7, 9]
/-!
And there is a helper function named `List.zip` that calls `zipWith` using the function `Prod.mk`
so you get a nice zipped list like this:
-/
#eval List.zip [1, 2, 3] [4, 5, 6]
-- [(1, 4), (2, 5), (3, 6)]
/-!
And of course, as you would expect, there is an `unzip` also:
-/
#eval List.unzip (List.zip [1, 2, 3] [4, 5, 6])
-- ([1, 2, 3], [4, 5, 6])
/-!
## Example: A Functor that is not Applicative
From the chapter on [functors](functors.lean.md) you might remember this example of `LivingSpace`
that had a `Functor` instance:
-/
structure LivingSpace (α : Type) where
totalSize : α
numBedrooms : Nat
masterBedroomSize : α
livingRoomSize : α
kitchenSize : α
deriving Repr, BEq
def LivingSpace.map (f : α β) (s : LivingSpace α) : LivingSpace β :=
{ totalSize := f s.totalSize
numBedrooms := s.numBedrooms
masterBedroomSize := f s.masterBedroomSize
livingRoomSize := f s.livingRoomSize
kitchenSize := f s.kitchenSize }
instance : Functor LivingSpace where
map := LivingSpace.map
/-!
It wouldn't really make sense to make an `Applicative` instance here. How would you write `pure` in
the `Applicative` instance? By taking a single value and plugging it in for total size _and_ the
master bedroom size _and_ the living room size? That wouldn't really make sense. And what would the
numBedrooms value be for the default? What would it mean to "chain" two of these objects together?
If you can't answer these questions very well, then it suggests this type isn't really an
Applicative functor.
## SeqLeft and SeqRight
You may remember seeing the `SeqLeft` and `SeqRight` base types on `class Applicative` earlier.
These provide the `seqLeft` and `seqRight` operations which also have some handy notation
shorthands `<*` and `*>` respectively. Where: `x <* y` evaluates `x`, then `y`, and returns the
result of `x` and `x *> y` evaluates `x`, then `y`, and returns the result of `y`.
To make it easier to remember, notice that it returns that value that the `<*` or `*>` notation is
pointing at. For example:
-/
#eval (some 1) *> (some 2) -- Some 2
#eval (some 1) <* (some 2) -- Some 1
/-!
So these are a kind of "discard" operation. Run all the actions, but only return the values that you
care about. It will be easier to see these in action when you get to full Monads, but they are used
heavily in the Lean `Parsec` parser combinator library where you will find parsing functions like
this one which parses the XML declaration `<?xml version="1.0" encoding='utf-8' standalone="yes">`:
```lean
def XMLdecl : Parsec Unit := do
skipString "<?xml"
VersionInfo
optional EncodingDecl *> optional SDDecl *> optional S *> skipString "?>"
```
But you will need to understand full Monads before this will make sense.
## Lazy Evaluation
Diving a bit deeper, (you can skip this and jump to the [Applicative
Laws](laws.lean.md#what-are-the-applicative-laws) if don't want to dive into this implementation detail right
now). But, if you write a simple `Option` example `(.*.) <$> some 4 <*> some 5` that produces `some 20`
using `Seq.seq` you will see something interesting:
-/
#eval Seq.seq ((.*.) <$> some 4) (fun (_ : Unit) => some 5) -- some 20
/-!
This may look a bit cumbersome, specifically, why did we need to invent this funny looking function
`fun (_ : Unit) => (some 5)`?
Well if you take a close look at the type class definition:
```lean
class Seq (f : Type u → Type v) where
seq : {α β : Type u} → f (α → β) → (Unit → f α) → f β
```
You will see this function defined here: `(Unit → f α)`, this is a function that takes `Unit` as input
and produces the output of type `f α` where `f` is the container type `Type u -> Type v`, in this example `Option`
and `α` is the element type `Nat`, so `fun (_ : Unit) => some 5` matches this definition because
it is taking an input of type Unit and producing `some 5` which is type `Option Nat`.
The that `seq` is defined this way is because Lean is an eagerly evaluated language
(call-by-value), you have to use this kind of Unit function whenever you want to explicitly delay
evaluation and `seq` wants that so it can eliminate unnecessary function evaluations whenever
possible.
Fortunately the `<*>` infix notation hides this from you by creating this wrapper function for you.
If you look up the notation using F12 in VS Code you will find it contains `(fun _ : Unit => b)`.
Now to complete this picture you will find the default implementation of `seq` on the Lean `Monad`
type class:
```lean
class Monad (m : Type u → Type v) extends Applicative m, Bind m where
seq f x := bind f fun y => Functor.map y (x ())
```
Notice here that `x` is the `(Unit → f α)` function, and it is calling that function by passing the
Unit value `()`, which is the Unit value (Unit.unit). All this just to ensure delayed evaluation.
## How do Applicatives help with Monads?
Applicatives are helpful for the same reasons as functors. They're a relatively simple abstract
structure that has practical applications in your code. Now that you understand how chaining
operations can fit into a structure definition, you're in a good position to start learning about
[Monads](monads.lean.md)!
-/

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/-!
# Except
The `Except` Monad adds exception handling behavior to your functions. Exception handling
in other languages like Python or Java is done with a built in `throw` method that you
can use anywhere. In `Lean` you can only `throw` an exception when your function is
executing in the context of an `Except` monad.
-/
def divide (x y: Float): Except String Float :=
if y == 0 then
throw "can't divide by zero"
else
pure (x / y)
#eval divide 5 2 -- Except.ok 2.500000
#eval divide 5 0 -- Except.error "can't divide by zero"
/-!
Just as the `read` operation was available from the `ReaderM` monad and the `get` and `set`
operations came with the `StateM` monad, here you can see a `throw` operation is provided by the
`Except` monad.
So in Lean, `throw` is not available everywhere like it is in most imperative programming languages.
You have to declare your function can throw by changing the type signature to `Except String Float`.
This creates a function that might return an error of type `String` or it might return a value of
type `Float` in the non-error case.
Once your function is monadic you also need to use the `pure` constructor of the `Except` monad to
convert the pure non-monadic value `x / y` into the required `Except` object. See
[Applicatives](applicatives.lean.md) for details on `pure`.
Now this return typing would get tedious if you had to include it everywhere that you call this
function, however, Lean type inference can clean this up. For example, you can define a test
function that calls the `divide` function and you don't need to say anything here about the fact that
it might throw an error, because that is inferred:
-/
def test := divide 5 0
#check test -- Except String Float
/-!
Notice the Lean compiler infers the required `Except String Float` type information for you.
And now you can run this test and get the expected exception:
-/
#eval test -- Except.error "can't divide by zero"
/-!
## Chaining
Now as before you can build a chain of monadic actions that can be composed together using `bind (>>=)`:
-/
def square (x : Float) : Except String Float :=
if x >= 100 then
throw "it's absolutely huge"
else
pure (x * x)
#eval divide 6 2 >>= square -- Except.ok 9.000000
#eval divide 6 0 >>= square -- Except.error "can't divide by zero"
#eval divide 100 1 >>= square -- Except.error "it's absolutely huge"
def chainUsingDoNotation := do
let r divide 6 0
square r
#eval chainUsingDoNotation -- Except.error "can't divide by zero"
/-!
Notice in the second `divide 6 0` the exception from that division was nicely propagated along
to the final result and the square function was ignored in that case. You can see why the
`square` function was ignored if you look at the implementation of `Except.bind`:
-/
def bind (ma : Except ε α) (f : α Except ε β) : Except ε β :=
match ma with
| Except.error err => Except.error err
| Except.ok v => f v
/-!
Specifically notice that it only calls the next function `f v` in the `Except.ok`, and
in the error case it simply passes the same error along.
Remember also that you can chain the actions with implicit binding by using the `do` notation
as you see in the `chainUsingDoNotation` function above.
## Try/Catch
Now with all good exception handling you also want to be able to catch exceptions so your program
can continue on or do some error recovery task, which you can do like this:
-/
def testCatch :=
try
let r divide 8 0 -- 'r' is type Float
pure (toString r)
catch e =>
pure s!"Caught exception: {e}"
#check testCatch -- Except String String
/-!
Note that the type inferred by Lean for this function is `Except String String` so unlike the
`test` function earlier, this time Lean type inference has figured out that since the pure
value `(toString r)` is of type `String`, then this function must have type `Except String String`
so you don't have to explicitly state this. You can always hover your mouse over `testCatch`
or use `#check testCatch` to query Lean interactively to figure out what type inference
has decided. Lean type inference makes life easy for you, so it's good to use it
when you can.
You can now see the try/catch working in this eval:
-/
#eval testCatch -- Except.ok "Caught exception: can't divide by zero"
/-!
Notice the `Caught exception:` wrapped message is returned, and that it is returned as an
`Except.ok` value, meaning `testCatch` eliminated the error result as expected.
So you've interleaved a new concept into your functions (exception handling) and the compiler is still
able to type check everything just as well as it does for pure functions and it's been able to infer
some things along the way to make it even easier to manage.
Now you might be wondering why `testCatch` doesn't infer the return type `String`? Lean does this as a
convenience since you could have a rethrow in or after the catch block. If you really want to stop
the `Except` type from bubbling up you can unwrap it like this:
-/
def testUnwrap : String := Id.run do
let r divide 8 0 -- r is type Except String Float
match r with
| .ok a => toString a -- 'a' is type Float
| .error e => s!"Caught exception: {e}"
#check testUnwrap -- String
#eval testUnwrap -- "Caught exception: can't divide by zero"
/-!
The `Id.run` function is a helper function that executes the `do` block and returns the result where
`Id` is the _identity monad_. So `Id.run do` is a pattern you can use to execute monads in a
function that is not itself monadic. This works for all monads except `IO` which, as stated earlier,
you cannot invent out of thin air, you must use the `IO` monad given to your `main` function.
## Monadic functions
You can also write functions that are designed to operate in the context of a monad.
These functions typically end in upper case M like `List.forM` used below:
-/
def validateList (x : List Nat) (max : Nat): Except String Unit := do
x.forM fun a => do
if a > max then throw "illegal value found in list"
#eval validateList [1, 2, 5, 3, 8] 10 -- Except.ok ()
#eval validateList [1, 2, 5, 3, 8] 5 -- Except.error "illegal value found in list"
/-!
Notice here that the `List.forM` function passes the monadic context through to the inner function
so it can use the `throw` function from the `Except` monad.
The `List.forM` function is defined like this where `[Monad m]` means "in the context of a monad `m`":
-/
def forM [Monad m] (as : List α) (f : α m PUnit) : m PUnit :=
match as with
| [] => pure
| a :: as => do f a; List.forM as f
/-!
## Summary
Now that you know all these different monad constructs, you might be wondering how you can combine
them. What if there was some part of your state that you wanted to be able to modify (using the
State monad), but you also needed exception handling. How can you get multiple monadic capabilities
in the same function. To learn the answer, head to [Monad Transformers](transformers.lean.md).
-/

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/-!
# Functor
A `Functor` is any type that can act as a generic container that allows you to transform the
underlying values inside the container using a function, so that the values are all updated, but the
structure of the container is the same. This is called "mapping".
A List is one of the most basic examples of a `Functor`.
A list contains zero or more elements of the same, underlying type. When you `map` a function over
a list, you create a new list with the same number of elements, where each has been transformed by
the function:
-/
#eval List.map (λ x => toString x) [1,2,3] -- ["1", "2", "3"]
-- you can also write this using dot notation on the List object
#eval [1,2,3].map (λ x => toString x) -- ["1", "2", "3"]
/-!
Here we converted a list of natural numbers (Nat) to a list of strings where the lambda function
here used `toString` to do the transformation of each element. Notice that when you apply `map` the
"structure" of the object remains the same, in this case the result is always a `List` of the same
size.
Note that in Lean a lambda function can be written using `fun` keyword or the unicode
symbol `λ` which you can type in VS code using `\la `.
List has a specialized version of `map` defined as follows:
-/
def map (f : α β) : List α List β
| [] => []
| a::as => f a :: map f as
/-!
This is a very generic `map` function that can take any function that converts `(α → β)` and use it
to convert `List α → List β`. Notice the function call `f a` above, this application of `f` is
producing the converted items for the new list.
Let's look at some more examples:
-/
-- List String → List Nat
#eval ["elephant", "tiger", "giraffe"].map (fun s => s.length)
-- [8, 5, 7]
-- List Nat → List Float
#eval [1,2,3,4,5].map (fun s => (s.toFloat) ^ 3.0)
-- [1.000000, 8.000000, 27.000000, 64.000000, 125.000000]
--- List String → List String
#eval ["chris", "david", "mark"].map (fun s => s.capitalize)
-- ["Chris", "David", "Mark"]
/-!
Another example of a functor is the `Option` type. Option contains a value or nothing and is handy
for code that has to deal with optional values, like optional command line arguments.
Remember you can construct an Option using the type constructors `some` or `none`:
-/
#check some 5 -- Option Nat
#eval some 5 -- some 5
#eval (some 5).map (fun x => x + 1) -- some 6
#eval (some 5).map (fun x => toString x) -- some "5"
/-!
Lean also provides a convenient short hand syntax for `(fun x => x + 1)`, namely `(· + 1)`
using the middle dot unicode character which you can type in VS code using `\. `.
-/
#eval (some 4).map (· * 5) -- some 20
/-!
The `map` function preserves the `none` state of the Option, so again
map preserves the structure of the object.
-/
def x : Option Nat := none
#eval x.map (fun x => toString x) -- none
#check x.map (fun x => toString x) -- Option String
/-!
Notice that even in the `none` case it has transformed `Option Nat` into `Option String` as
you see in the `#check` command.
## How to make a Functor Instance?
The `List` type is made an official `Functor` by the following type class instance:
-/
instance : Functor List where
map := List.map
/-!
Notice all you need to do is provide the `map` function implementation. For a quick
example, let's supposed you create a new type describing the measurements of a home
or apartment:
-/
structure LivingSpace (α : Type) where
totalSize : α
numBedrooms : Nat
masterBedroomSize : α
livingRoomSize : α
kitchenSize : α
deriving Repr, BEq
/-!
Now you can construct a `LivingSpace` in square feet using floating point values:
-/
abbrev SquareFeet := Float
def mySpace : LivingSpace SquareFeet :=
{ totalSize := 1800, numBedrooms := 4, masterBedroomSize := 500,
livingRoomSize := 900, kitchenSize := 400 }
/-!
Now, suppose you want anyone to be able to map a `LivingSpace` from one type of measurement unit to
another. Then you would provide a `Functor` instance as follows:
-/
def LivingSpace.map (f : α β) (s : LivingSpace α) : LivingSpace β :=
{ totalSize := f s.totalSize
numBedrooms := s.numBedrooms
masterBedroomSize := f s.masterBedroomSize
livingRoomSize := f s.livingRoomSize
kitchenSize := f s.kitchenSize }
instance : Functor LivingSpace where
map := LivingSpace.map
/-!
Notice this functor instance takes `LivingSpace` and not the fully qualified type `LivingSpace SquareFeet`.
Notice below that `LivingSpace` is a function from Type to Type. For example, if you give it type `SquareFeet`
it gives you back the fully qualified type `LivingSpace SquareFeet`.
-/
#check LivingSpace -- Type → Type
/-!
So the `instance : Functor` then is operating on the more abstract, or generic `LivingSpace` saying
for the whole family of types `LivingSpace α` you can map to `LivingSpace β` using the generic
`LivingSpace.map` map function by simply providing a function that does the more primitive mapping
from `(f : α → β)`. So `LivingSpace.map` is a sort of function applicator.
This is called a "higher order function" because it takes a function as input
`(α → β)` and returns another function as output `F α → F β`.
Notice that `LivingSpace.map` applies a function `f` to convert the units of all the LivingSpace
fields, except for `numBedrooms` which is a count (and therefore is not a measurement that needs
converting).
So now you can define a simple conversion function, let's say you want square meters instead:
-/
abbrev SquareMeters := Float
def squareFeetToMeters (ft : SquareFeet ) : SquareMeters := (ft / 10.7639104)
/-!
and now bringing it all together you can use the simple function `squareFeetToMeters` to map
`mySpace` to square meters:
-/
#eval mySpace.map squareFeetToMeters
/-
{ totalSize := 167.225472,
numBedrooms := 4,
masterBedroomSize := 46.451520,
livingRoomSize := 83.612736,
kitchenSize := 37.161216 }
-/
/-!
Lean also defines custom infix operator `<$>` for `Functor.map` which allows you to write this:
-/
#eval (fun s => s.length) <$> ["elephant", "tiger", "giraffe"] -- [8, 5, 7]
#eval (fun x => x + 1) <$> (some 5) -- some 6
/-!
Note that the infix operator is left associative which means it binds more tightly to the
function on the left than to the expression on the right, this means you can often drop the
parentheses on the right like this:
-/
#eval (fun x => x + 1) <$> some 5 -- some 6
/-!
Note that Lean lets you define your own syntax, so `<$>` is nothing special.
You can define your own infix operator like this:
-/
infixr:100 " doodle " => Functor.map
#eval (· * 5) doodle [1, 2, 3] -- [5, 10, 15]
/-!
Wow, this is pretty powerful. By providing a functor instance on `LivingSpace` with an
implementation of the `map` function it is now super easy for anyone to come along and
transform the units of a `LivingSpace` using very simple functions like `squareFeetToMeters`. Notice
that squareFeetToMeters knows nothing about `LivingSpace`.
## How do Functors help with Monads ?
Functors are an abstract mathematical structure that is represented in Lean with a type class. The
Lean functor defines both `map` and a special case for working on constants more efficiently called
`mapConst`:
```lean
class Functor (f : Type u → Type v) : Type (max (u+1) v) where
map : {α β : Type u} → (α → β) → f α → f β
mapConst : {α β : Type u} → α → f β → f α
```
Note that `mapConst` has a default implementation, namely:
`mapConst : {α β : Type u} → α → f β → f α := Function.comp map (Function.const _)` in the `Functor`
type class. So you can use this default implementation and you only need to replace it if
your functor has a more specialized variant than this (usually the custom version is more performant).
In general then, a functor is a function on types `F : Type u → Type v` equipped with an operator
called `map` such that if you have a function `f` of type `α → β` then `map f` will convert your
container type from `F α → F β`. This corresponds to the category-theory notion of
[functor](https://en.wikipedia.org/wiki/Functor) in the special case where the category is the
category of types and functions between them.
Understanding abstract mathematical structures is a little tricky for most people. So it helps to
start with a simpler idea like functors before you try to understand monads. Building on
functors is the next abstraction called [Applicatives](applicatives.lean.md).
-/

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# Monads
Monads are used heavily in Lean, as they are also in Haskell. Monads come from the wonderful world
of [Category Theory](https://en.wikipedia.org/wiki/Monad_%28category_theory%29).
Monads in Lean are so similar to Haskell that this introduction to monads is heavily based on the
similar chapter of the [Monday Morning Haskell](https://mmhaskell.com/monads/). Many thanks to
the authors of that material for allowing us to reuse it here.
Monads build on the following fundamental type classes which you will need to understand
first before fully understanding monads. Shown in light blue are some concrete functors
and monads that will also be covered in this chapter:
![image](../images/monads.svg)
This chapter is organized to give you a bottom up introduction to monads, starting with functors and
applicative functors, you'll get an intuition for how these abstract structures work in Lean. Then
you'll dive into monads and learn how to use some of the most useful built-in ones.
## [Functor](functors.lean.md)
A functor is a type class that provides a map function and the map function is something many
people are already familiar with so this should be easy to follow. Here you will see some
concrete examples in action with `List` and `Option`.
## [Applicative Functors](applicatives.lean.md)
Applicatives are a little more difficult to understand than functors, but their functionality can
still be summed up in a couple simple functions. Here you will learn how to create an
`Applicative List` and a completely custom `Applicative` type.
## [Monads Tutorial](monads.lean.md)
Now that you have an intuition for how abstract structures work, you'll examine some of the problems
that functors and applicative functors don't help you solve. Then you'll learn the specifics of how
to actually use monads with some examples using the `Option` monad and the all important `IO` monad.
## [Reader Monad](readers.lean.md)
Now that you understand the details of what makes a monadic structure work, in this section, you'll
learn about one of the most useful built in monads `ReaderM`, which gives your programs a
global read-only context.
## [State Monad](states.lean.md)
This section introduces the `StateM` monad. This monad allows you to access a particular type that you can
both read from and write to. It opens the door to fully stateful programming, allowing you to do many
of the things a function programming language supposedly "can't" do.
## [Except Monad](except.lean.md)
Similar to the `Option` monad the `Except` monad allows you to change the signature of a function so
that it can return an `ok` value or an `error` and it provides the classic exception handling
operations `throw/try/catch` so that your programs can do monad-based exception handling.
## [Monad Transformers](transformers.lean.md)
Now that you are familiar with all the above monads it is time to answer the question - how you can
make them work together? After all, there are definitely times when you need multiple kinds of
monadic behavior. This section introduces the concept of monad transformers, which allow you to
combine multiple monads into one.
## [Monad Laws](laws.lean.md)
This section examines what makes a monad a legal monad. You could just implement your monadic type
classes any way you want and write "monad" instances, but starting back with functors and
applicative functors, you'll learn that all these structures have "laws" that they are expected to
obey with respect to their behavior. You can make instances that don't follow these laws. But you do
so at your peril, as other programmers will be very confused when they try to use them.

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/-!
# Monad Laws
In the previous sections you learned how to use [Functors](functors.lean.md),
[Applicatives](applicatives.lean.md), and [Monads](monads.lean.md), and you played with some useful
instances including [Option](monads.lean.md), [IO](monads.lean.md), [Reader](readers.lean.md),
[State](states.lean.md) and [Except](except.lean.md) and you learned about composition using [Monad
Transformers](transformers.lean.md).
So far, you've learned the concrete details you need in order to _use_ monads in your Lean programs.
But there's still one more important concept you need if you want to _create_ new functors,
applicatives and monads. Namely, the notion of _structural "laws"_ -- rules that these type
classes should follow in order to meet other programmers' expectations about your code.
## Life without Laws
Remember Lean represents each of these abstract structures by a type class. Each of these type classes
has one or two main functions. So, as long as you implement those functions and it type checks, you
have a new functor, applicative, or monad, right?
Well not quite. Yes, your program will compile and you'll be able to use the instances. But this
doesn't mean your instances follow the mathematical constructs. If they don't, your instances won't
fulfill other programmers' expectations. Each type class has its own "laws". For instance, suppose
you have the following Point Functor:
-/
structure Point (α : Type) where
x : α
y : α
deriving Repr, BEq
def Point.map (f : α β) (s : Point α) : Point β :=
{ x := f s.y, -- an example of something weird
y := f s.x }
instance : Functor Point where
map := Point.map
#eval (·+2) <$> (Point.mk 1 2) -- { x := 4, y := 3 }
/-!
This Point does something weird, when you `map` it because it transposes the `x` and `y` coordinates
which is not what other people would expect from a `map` function. In fact, it breaks the rules
as you will see below.
## What are the Functor laws?
Functors have two laws: the _identity_ law, and the _composition_ law. These laws express behaviors that
your functor instances should follow. If they don't, other programmers will be very confused at the
effect your instances have on their program.
The identity law says that if you "map" the identity function (`id`) over your functor, the
resulting functor should be the same. A succinct way of showing this on a `List` functor is:
-/
def list1 := [1,2,3]
#eval id <$> list1 == list1 -- true
/-!
Now let's try the same test on the `Point` functor:
-/
def p1 : Point Nat := (Point.mk 1 2)
#eval id <$> p1 == p1 -- false
/-!
Oh, and look while the `List` is behaving well, the `Point` functor fails this identity test.
The _composition_ law says that if you "map" two functions in succession over a functor, this
should be the same as "composing" the functions and simply mapping that one super-function over the
functor. In Lean you can compose two functions using `Function.comp f g` (or the syntax `f ∘ g`,
which you can type in VS code using `\o `) and you will get the same results from both of these
showing that the composition law holds for `List Nat`:
-/
def double (x : Nat) := x + x
def square (x : Nat) := x * x
#eval double <$> (square <$> list1) -- [2, 8, 18]
#eval (double <$> (square <$> list1)) == ((double square) <$> list1) -- true
-- ok, what about the Point class?
#eval double <$> (square <$> p1) -- { x := 2, y := 8 }
#eval (double square) <$> p1 -- { x := 8, y := 2 }
#eval double <$> (square <$> p1) == (double square) <$> p1 -- false
/-!
Note that composition also fails on the bad `Point` because the x/y transpose.
As you can see this bad `Point` implementation violates both of the functor laws. In this case it
would not be a true functor. Its behavior would confuse any other programmers trying to use it. You
should take care to make sure that your instances make sense. Once you get a feel for these type
classes, the likelihood is that the instances you'll create will follow the laws.
You can also write a bad functor that passes one law but not the other like this:
-/
def bad_option_map {α β : Type u} : (α β) Option α Option β
| _, _ => none
instance : Functor Option where
map := bad_option_map
def t1 : Option Nat := some 10
#eval id <$> t1 == t1 -- false
#eval double <$> (square <$> t1) == (double square) <$> t1 -- true
/-!
This fails the id law but obeys the composition law. Hopefully this explains the value of these
laws, and you don't need to see any more bad examples!
## What are the Applicative Laws?
While functors have two laws, applicatives have four laws:
- Identity
- Homomorphism
- Interchange
- Composition
### Identity
`pure id <*> v = v`
Applying the identity function through an applicative structure should not change the underlying
values or structure. For example:
-/
instance : Applicative List where
pure := List.pure
seq f x := List.bind f fun y => Functor.map y (x ())
#eval pure id <*> [1, 2, 3] -- [1, 2, 3]
/-!
The `pure id` statement here is wrapping the identity function in an applicative structure
so that you can apply that over the container `[1, 2, 3]` using the Applicative `seq` operation
which has the notation `<*>`.
To prove this for all values `v` and any applicative `m` you can write this theorem:
-/
example [Applicative m] [LawfulApplicative m] (v : m α) :
pure id <*> v = v :=
by simp -- Goals accomplished 🎉
/-!
### Homomorphism
`pure f <*> pure x = pure (f x)`
Suppose you wrap a function and an object in `pure`. You can then apply the wrapped function over the
wrapped object. Of course, you could also apply the normal function over the normal object, and then
wrap it in `pure`. The homomorphism law states these results should be the same.
For example:
-/
def x := 1
def f := (· + 2)
#eval pure f <*> pure x = (pure (f x) : List Nat) -- true
/-!
You should see a distinct pattern here. The overriding theme of almost all these laws is that these
`Applicative` types should behave like normal containers. The `Applicative` functions should not
have any side effects. All they should do is facilitate the wrapping, unwrapping, and transformation
of data contained in the container resulting in a new container that has the same structure.
### Interchange
`u <*> pure y = pure (. y) <*> u`.
This law is is a little more complicated, so don't sweat it too much. It states that the order that
you wrap things shouldn't matter. One the left, you apply any applicative `u` over a pure wrapped
object. On the right, you first wrap a function applying the object as an argument. Note that `(·
y)` is short hand for: `fun f => f y`. Then you apply this to the first applicative `u`. These
should be the same.
For example:
-/
def y := 4
def g : List (Nat Nat) := [(· + 2)]
#eval g <*> pure y = pure (· y) <*> g -- true
/-!
You can prove this with the following theorem:
-/
example [Applicative m] [LawfulApplicative m] (u : m (α β)) (y : α) :
u <*> pure y = pure (· y) <*> u :=
by simp [pure_seq] -- Goals accomplished 🎉
/-!
### Composition:
`u <*> v <*> w = u <*> (v <*> w)`
This final applicative law mimics the second functor law. It is a composition law. It states that
function composition holds across applications within the applicative:
For example:
-/
def u := [1, 2]
def v := [3, 4]
def w := [5, 6]
#eval pure (·+·+·) <*> u <*> v <*> w
-- [9, 10, 10, 11, 10, 11, 11, 12]
#eval let grouping := pure (·+·) <*> v <*> w
pure (·+·) <*> u <*> grouping
-- [9, 10, 10, 11, 10, 11, 11, 12]
/-!
To test composition you see the separate grouping `(v <*> w)` then that can be used in the outer
sequence `u <*> grouping` to get the same final result `[9, 10, 10, 11, 10, 11, 11, 12]`.
## What are the Monad Laws?
Monads have three laws:
- Left Identity
- Right Identity
- Associativity
### Left Identity
Identity laws for monads specify that `pure` by itself shouldn't really change anything about the
structure or its values.
Left identity is `x >>= pure = x` and is demonstrated by the following examples on a monadic `List`:
-/
instance : Monad List where
pure := List.pure
bind := List.bind
def a := ["apple", "orange"]
#eval a >>= pure -- ["apple", "orange"]
#eval a >>= pure = a -- true
/-!
### Right Identity
Right identity is `pure x >>= f = f x` and is demonstrated by the following example:
-/
def h (x : Nat) : Option Nat := some (x + 1)
def z := 5
#eval pure z >>= h -- some 6
#eval h z -- some 6
#eval pure z >>= h = h z -- true
/-!
So in this example, with this specific `z` and `h`, you see that the rule holds true.
### Associativity
The associativity law is written as:
```lean,ignore
x >>= f >>= g = x >>= (λ x => f x >>= g)
```
where `(x : m α)` and `(f : α → m β)` and `(g : β → m γ)`.
The associativity law is difficult to parse like some of the applicative laws, but what it is saying
is that if you change the grouping of `bind` operations, you should still get the same result.
This law has a parallel structure to the other composition laws.
You can see this in action in the following rewrite of `runOptionFuncsBind` from [monads](monads.lean.md):
-/
def optionFunc1 : String -> Option Nat
| "" => none
| str => some str.length
def optionFunc2 (i : Nat) : Option Float :=
if i % 2 == 0 then none else some (i.toFloat * 3.14159)
def optionFunc3 (f : Float) : Option (List Nat) :=
if f > 15.0 then none else some [f.floor.toUInt32.toNat, f.ceil.toUInt32.toNat]
def runOptionFuncsBind (input : String) : Option (List Nat) :=
optionFunc1 input >>= optionFunc2 >>= optionFunc3
def runOptionFuncsBindGrouped (input : String) : Option (List Nat) :=
optionFunc1 input >>= (λ x => optionFunc2 x >>= optionFunc3)
#eval runOptionFuncsBind "big" -- some [9, 10]
#eval runOptionFuncsBindGrouped "big" -- some [9, 10]
/-!
Notice here we had to insert a `λ` function just like the definition says: `(λ x => f x >>= g)`.
This is because unlike applicatives, you can't resolve the structure of later operations without the
results of earlier operations quite as well because of the extra context monads provide. But you can
still group their later operations into composite functions taking their inputs from earlier on, and
the result should be the same.
## Summary
While these laws may be a bit difficult to understand just by looking at them, the good news is that
most of the instances you'll make will naturally follow the laws so long as you keep it simple, so
you shouldn't have to worry about them too much.
There are two main ideas from all the laws:
1. Applying the identity or pure function should not change the underlying values or structure.
1. It should not matter what order you group operations in. Another way to state this is function
composition should hold across your structures.
Following these laws will ensure other programmers are not confused by the behavior of your
new functors, applicatives and monads.
-/

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/-!
# Monads
Building on [Functors](functors.lean.md) and [Applicatives](applicatives.lean.md) we can now
introduce [monads](https://en.wikipedia.org/wiki/Monad_%28category_theory%29).
A monad is another type of abstract, functional structure. Let's explore what makes it different
from the first two structures.
## What is a Monad?
A monad is a computational context. It provides a structure that allows you to chain together
operations that have some kind of shared state or similar effect. Whereas pure functional code can
only operate on explicit input parameters and affect the program through explicit return values,
operations in a monad can affect other computations in the chain implicitly through side effects,
especially modification of an implicitly shared value.
## How are monads represented in Lean?
Like functors and applicatives, monads are represented with a type class in Lean:
```lean,ignore
class Monad (m : Type u → Type v) extends Applicative m, Bind m where
```
Just as every applicative is a functor, every monad is also an applicative and there's one more new
base type class used here that you need to understand, namely, `Bind`.
```lean,ignore
class Bind (f : Type u → Type v) where
bind : {α β : Type u} → f α → (α → f β) → f β
```
The `bind` operator also has infix notation `>>=` where `x >>= g` represents the result of executing
`x` to get a value of type `f α` then unwrapping the value `α` from that and passing it to function
`g` of type `α → f β` returning the result of type `f β` where `f` is the target structure type
(like `Option` or List)
This `bind` operation looks similar to the other ones you've seen so far, if you put them all
together `Monad` has the following operations:
```lean,ignore
class Monad (f : Type u → Type v) extends Applicative f, Bind f where
pure {α : Type u} : α → f α
map : {α β : Type u} → (α → β) → f α → f β
seq : {α β : Type u} → f (α → β) → (Unit → f α) → f β
bind : {α β : Type u} → f α → (α → f β) → f β
...
```
Notice `Monad` also contains `pure` it must also have a "default" way to wrap a value in the
structure.
The `bind` operator is similar to the applicative `seq` operator in that it chains two operations,
with one of them being function related. Notice that `bind`, `seq` and `map` all take a function of
some kind. Let's examine those function types:
- map: `(α → β)`
- seq: `f (α → β)`
- bind: `(α → f β)`
So `map` is a pure function, `seq` is a pure function wrapped in the structure, and `bind` takes a
pure input but produces an output wrapped in the structure.
Note: we are ignoring the `(Unit → f α)` function used by `seq` here since that has a special
purpose explained in [Applicatives Lazy Evaluation](applicatives.lean.md#lazy-evaluation).
## Basic Monad Example
Just as `Option` is a functor and an applicative functor, it is also a monad! Let's start with how
`Option` implements the Monad type class.
-/
instance : Monad Option where
pure := Option.some
bind := Option.bind
/-!
where:
```lean,ignore
def Option.bind : Option α → (α → Option β) → Option β
| none, _ => none
| some a, f => f a
```
> **Side note**: this function definition is using a special shorthand syntax in Lean where the `:=
match a, b with` code can be collapsed away. To make this more clear consider the following simpler
example, where `Option.bind` is using the second form like `bar`:
-/
def foo (x : Option Nat) (y : Nat) : Option Nat :=
match x, y with
| none, _ => none
| some x, y => some (x + y)
def bar : Option Nat Nat Option Nat
| none, _ => none
| some x, y => some (x + y)
#eval foo (some 1) 2 -- some 3
#eval bar (some 1) 2 -- some 3
/-!
What is important is that `Option.bind` is using a `match` statement to unwrap the input value
`Option α`, if it is `none` then it does nothing and returns `none`, if it has a value of type `α`
then it applies the function in the second argument `(α → Option β)` to this value, which is
the expression `f a` that you see in the line ` | some a, f => f a` above. The function
returns a result of type `Option β` which then becomes the return value for `bind`. So there
is no structure wrapping required on the return value since the input function already did that.
But let's bring in the definition of a monad. What does it mean to describe `Option` as a
computational context?
The `Option` monad encapsulates the context of failure. Essentially, the `Option` monad lets us
abort a series of operations whenever one of them fails. This allows future operations to assume
that all previous operations have succeeded. Here's some code to motivate this idea:
-/
def optionFunc1 : String -> Option Nat
| "" => none
| str => some str.length
def optionFunc2 (i : Nat) : Option Float :=
if i % 2 == 0 then none else some (i.toFloat * 3.14159)
def optionFunc3 (f : Float) : Option (List Nat) :=
if f > 15.0 then none else some [f.floor.toUInt32.toNat, f.ceil.toUInt32.toNat]
def runOptionFuncs (input : String) : Option (List Nat) :=
match optionFunc1 input with
| none => none
| some i => match optionFunc2 i with
| none => none
| some f => optionFunc3 f
#eval runOptionFuncs "big" -- some [9, 10]
/-!
Here you see three different functions that could fail. These are then combined in `runOptionFuncs`.
But then you have to use nested `match` expressions to check if the previous result succeeded. It
would be very tedious to continue this pattern much longer.
The `Option` monad helps you fix this. Here's what this function looks like using the `bind`
operator.
-/
def runOptionFuncsBind (input : String) : Option (List Nat) :=
optionFunc1 input >>= optionFunc2 >>= optionFunc3
#eval runOptionFuncsBind "big" -- some [9, 10]
/-!
It's much cleaner now! You take the first result and pass it into the second and third functions
using the `bind` operation. The monad instance handles all the failure cases so you don't have to!
Let's see why the types work out. The result of `optionFunc1` input is simply `Option Nat`. Then the
bind operator allows you to take this `Option Nat` value and combine it with `optionFunc2`, whose type
is `Nat → Option Float` The **bind operator resolves** these to an `Option Float`. Then you pass this
similarly through the bind operator to `optionFunc3`, resulting in the final type, `Option (List Nat)`.
Your functions will not always combine so cleanly though. This is where `do` notation comes into play.
This notation allows you to write monadic operations one after another, line-by-line. It almost makes
your code look like imperative programming. You can rewrite the above as:
-/
def runOptionFuncsDo (input : String) : Option (List Nat) := do
let i optionFunc1 input
let f optionFunc2 i
optionFunc3 f
#eval runOptionFuncsDo "big" -- some [9, 10]
/-!
The `←` operator used here is special. It effectively unwraps the value on the right-hand side from
the monad. This means the value `i` has type `Nat`, _even though_ the result of `optionFunc1` is
`Option Nat`. This is done using a `bind` operation under the hood.
> Note you can use `<-` or the nice unicode symbol `←` which you can type into VS code by typing
these characters `\l `. When you type the final space, `\l` is replaced with `←`.
Observe that we do not unwrap the final line of the computation. The function result is `Option
(List Nat)` which matches what `optionFunc3` returns. At first glance, this may look more complicated
than the `bind` example. However, it gives you a lot more flexibility, like mixing monadic and
non-monadic statements, using if then/else structures with their own local do blocks and so on. It
is particularly helpful when one monadic function depends on multiple previous functions.
## Example using List
You can easily make `List` into a monad with the following, since List already provides an
implementation of `pure` and `bind`.
-/
instance : Monad List where
pure := List.pure
bind := List.bind
/-!
Like you saw with the applicative `seq` operator, the `bind` operator applies the given function
to every element of the list. It is useful to look at the bind implementation for List:
-/
open List
def bind (a : List α) (b : α List β) : List β := join (map b a)
/-!
So `Functor.map` is used to apply the function `b` to every element of `a` but this would
return a whole bunch of little lists, so `join` is used to turn those back into a single list.
Here's an example where you use `bind` to convert a list of strings into a combined list of chars:
-/
#eval "apple".toList -- ['a', 'p', 'p', 'l', 'e']
#eval ["apple", "orange"] >>= String.toList
-- ['a', 'p', 'p', 'l', 'e', 'o', 'r', 'a', 'n', 'g', 'e']
/-!
## The IO Monad
The `IO Monad` is perhaps the most important monad in Lean. It is also one of the hardest monads to
understand starting out. Its actual implementation is too intricate to discuss when first learning
monads. So it is best to learn by example.
What is the **computational context** that describes the IO monad? IO operations can read
information from or write information to the terminal, file system, operating system, and/or
network. They interact with systems outside of your program. If you want to get user input, print a
message to the user, read information from a file, or make a network call, you'll need to do so
within the IO Monad.
The state of the world outside your program can change at virtually any moment, and so this IO
context is particularly special. So these IO operations are "side effects" which means you cannot
perform them from "pure" Lean functions.
Now, the most important job of pretty much any computer program is precisely to perform this
interaction with the outside world. For this reason, the root of all executable Lean code is a
function called main, with the type `IO Unit`. So every program starts in the IO monad!
When your function is `IO` monadic, you can get any input you need, call into "pure" code with the
inputs, and then output the result in some way. The reverse does not work. You cannot call into IO
code from pure code like you can call into a function that takes `Option` as input. Another way to
say this is you cannot invent an `IO` context out of thin air, it has to be given to you in your
`main` function.
Let's look at a simple program showing a few of the basic IO functions. It also uses `do` notation
to make the code read nicely:
-/
def main : IO Unit := do
IO.println "enter a line of text:"
let stdin IO.getStdin -- IO IO.FS.Stream (monadic)
let input stdin.getLine -- IO.FS.Stream → IO String (monadic)
let uppercased := input.toUpper -- String → String (pure)
IO.println uppercased -- IO Unit (monadic)
/-!
So, once again you can see that the `do` notation lets you chain a series of monadic actions.
`IO.getStdin` is of type `IO IO.FS.Stream` and `stdin.getLine` is of type `IO String`
and `IO.println` is of type `IO Unit`.
In between you see a non-monadic expression `let uppercased := input.toUpper` which is fine too.
A let statement can occur in any monad. Just as you could unwrap `i` from `Option Nat` to get the
inner Nat, you can use `←` to unwrap the result of `getLine` to get a String. You can then manipulate
this value using normal pure string functions like `toUpper`, and then you can pass the result to the
`IO.println` function.
This is a simple echo program. It reads a line from the terminal, and then prints the line back out
capitalized to the terminal. Hopefully it gives you a basic understanding of how IO works.
You can test this program using `lean --run` as follows:
```
> lean --run Main.lean
enter a line of text:
the quick brown fox
THE QUICK BROWN FOX
```
Here the user entered the string `the quick brown fox` and got back the uppercase result.
## What separates Monads from Applicatives?
The key that separates these is **context**. You cannot really determine the structure of
"future" operations without knowing the results of "past" operations, because the past can alter the
context in which the future operations work. With applicatives, you can't get the final function
result without evaluating everything, but you can determine the structure of how the operation will
take place. This allows some degree of parallelism with applicatives that is not generally possible
with monads.
## Conclusion
Hopefully you now have a basic level understanding of what a monad is. But perhaps some more
examples of what a "computational context" means would be useful to you. The Reader, State and
Except monads each provide a concrete and easily understood context that can be compared easily to
function parameters. You can learn more about those in [Reader monads](readers.lean.md),
[State monads](states.lean.md), and the [Except monad](except.lean.md).
-/

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/-!
# Readers
In the [previous section](monads.lean.md) you learned about the conceptual idea of monads. You learned
what they are, and saw how some common types like `IO` and `Option` work as monads. Now in this
section, you will be looking at some other useful monads. In particular, the `ReaderM` monad.
## How to do Global Variables in Lean?
In Lean, your code is generally "pure", meaning functions can only interact with the arguments
passed to them. This effectively means you cannot have global variables. You can have global
definitions, but these are fixed at compile time. If some user behavior might change them, you would have
to wrap them in the `IO` monad, which means they can't be used from pure code.
Consider this example. Here, you want to have an `Environment` containing different parameters as a
global variable. However, you want to load these parameters from the process environment variables,
which requires the `IO` monad.
-/
structure Environment where
path : String
home : String
user : String
deriving Repr
def getEnvDefault (name : String): IO String := do
let val? IO.getEnv name
pure <| match val? with
| none => ""
| some s => s
def loadEnv : IO Environment := do
let path getEnvDefault "PATH"
let home getEnvDefault "HOME"
let user getEnvDefault "USER"
pure { path, home, user }
def func1 (e : Environment) : Float :=
let l1 := e.path.length
let l2 := e.home.length * 2
let l3 := e.user.length * 3
(l1 + l2 + l3).toFloat * 2.1
def func2 (env : Environment) : Nat :=
2 + (func1 env).floor.toUInt32.toNat
def func3 (env : Environment) : String :=
"Result: " ++ (toString (func2 env))
def main : IO Unit := do
let env loadEnv
let str := func3 env
IO.println str
#eval main -- Result: 7538
/-!
The only function actually using the environment is func1. However func1 is a pure function. This
means it cannot directly call loadEnv, an impure function in the IO monad. This means the
environment has to be passed through as a variable to the other functions, just so they can
ultimately pass it to func1. In a language with global variables, you could save env as a global
value in main. Then func1 could access it directly. There would be no need to have it as a parameter
to func1, func2 and func3. In larger programs, these "pass-through" variables can cause a lot of
headaches.
## The Reader Solution
The `ReaderM` monad solves this problem. It effectively creates a global read-only value of a
specified type. All functions within the monad can "read" the type. Let's look at how the `ReaderM`
monad changes the shape of this code. Now the functions **no longer need** to be given the
`Environment` as an explicit parameter, as they can access it through the monad.
-/
def readerFunc1 : ReaderM Environment Float := do
let env read
let l1 := env.path.length
let l2 := env.home.length * 2
let l3 := env.user.length * 3
return (l1 + l2 + l3).toFloat * 2.1
def readerFunc2 : ReaderM Environment Nat :=
readerFunc1 >>= (fun x => return 2 + (x.floor.toUInt32.toNat))
def readerFunc3 : ReaderM Environment String := do
let x readerFunc2
return "Result: " ++ toString x
def main2 : IO Unit := do
let env loadEnv
let str := readerFunc3.run env
IO.println str
#eval main2 -- Result: 7538
/-!
The `ReaderM` monad provides a `run` method and it is the `ReaderM` run method that takes the initial
`Environment` context. So here you see `main2` loads the environment as before, and establishes
the `ReaderM` context by passing `env` to the `run` method.
> **Side note 1**: The `return` statement used above also needs some explanation. The `return`
statement in Lean is closely related to `pure`, but a little different. First the similarity is that
`return` and `pure` both lift a pure value up to the Monad type. But `return` is a keyword so you do
not need to parenthesize the expression like you do when using `pure`. (Note: you can avoid
parentheses when using `pure` by using the `<|` operator like we did above in the initial
`getEnvDefault` function). Furthermore, `return` can also cause an early `return` in a monadic
function similar to how it can in an imperative language while `pure` cannot.
> So technically if `return` is the last statement in a function it could be replaced with `pure <|`,
but one could argue that `return` is still a little easier for most folks to read, just so long as
you understand that `return` is doing more than other languages, it is also wrapping pure values in
the monadic container type.
> **Side note 2**: If the function `readerFunc3` also took some explicit arguments then you would have
to write `(readerFunc3 args).run env` and this is a bit ugly, so Lean provides an infix operator
`|>` that eliminates those parentheses so you can write `readerFunc3 args |>.run env` and then you can
chain multiple monadic actions like this `m1 args1 |>.run args2 |>.run args3` and this is the
recommended style. You will see this pattern used heavily in Lean code.
The `let env ← read` expression in `readerFunc1` unwraps the environment from the `ReaderM` so we
can use it. Each type of monad might provide one or more extra functions like this, functions that
become available only when you are in the context of that monad.
Here the `readerFunc2` function uses the `bind` operator `>>=` just to show you that there are bind
operations happening here. The `readerFunc3` function uses the `do` notation you learned about in
[Monads](monads.lean.md) which hides that bind operation and can make the code look cleaner.
So the expression `let x ← readerFunc2` is also calling the `bind` function under the covers,
so that you can access the unwrapped value `x` needed for the `toString x` conversion.
The important difference here to the earlier code is that `readerFunc3` and `readerFunc2` no longer
have an **explicit** Environment input parameter that needs to be passed along all the way to
`readerFunc1`. Instead, the `ReaderM` monad is taking care of that for you, which gives you the
illusion of something like global context where the context is now available to all functions that use
the `ReaderM` monad.
The above code also introduces an important idea. Whenever you learn about a monad "X", there's
often (but not always) a `run` function to execute that monad, and sometimes some additional
functions like `read` that interact with the monad context.
You might be wondering, how does the context actually move through the `ReaderM` monad? How can you
add an input argument to a function by modifying its return type? There is a special command in
Lean that will show you the reduced types:
-/
#reduce ReaderM Environment String -- Environment → String
/-!
And you can see here that this type is actually a function! It's a function that takes an
`Environment` as input and returns a `String`.
Now, remember in Lean that a function that takes an argument of type `Nat` and returns a `String`
like `def f (a : Nat) : String` is the same as this function `def f : Nat → String`. These are
exactly equal as types. Well this is being used by the `ReaderM` Monad to add an input argument to
all the functions that use the `ReaderM` monad and this is why `main` is able to start things off by
simply passing that new input argument in `readerFunc3.run env`. So now that you know the implementation
details of the `ReaderM` monad you can see that what it is doing looks very much like the original
code we wrote at the beginning of this section, only it's taking a lot of the tedious work off your
plate and it is creating a nice clean separation between what your pure functions are doing, and the
global context idea that the `ReaderM` adds.
## withReader
One `ReaderM` function can call another with a modified version of the `ReaderM` context. You can
use the `withReader` function from the `MonadWithReader` type class to do this:
-/
def readerFunc3WithReader : ReaderM Environment String := do
let x withReader (λ env => { env with user := "new user" }) readerFunc2
return "Result: " ++ toString x
/-!
Here we changed the `user` in the `Environment` context to "new user" and then we passed that
modified context to `readerFunc2`.
So `withReader f m` executes monad `m` in the `ReaderM` context modified by `f`.
## Handy shortcut with (← e)
If you use the operator `←` in a let expression and the variable is only used once you can
eliminate the let expression and place the `←` operator in parentheses like this
call to loadEnv:
-/
def main3 : IO Unit := do
let str := readerFunc3 ( loadEnv)
IO.println str
/-!
## Conclusion
It might not seem like much has been accomplished with this `ReaderM Environment` monad, but you will
find that in larger code bases, with many different types of monads all composed together this
greatly cleans up the code. Monads provide a beautiful functional way of managing cross-cutting
concerns that would otherwise make your code very messy.
Having this control over the inherited `ReaderM` context via `withReader` is actually very useful
and something that is quite messy if you try and do this sort of thing with global variables, saving
the old value, setting the new one, calling the function, then restoring the old value, making sure
you do that in a try/finally block and so on. The `ReaderM` design pattern avoids that mess
entirely.
Now it's time to move on to [StateM Monad](states.lean.md) which is like a `ReaderM` that is
also updatable.
-/

265
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import Lean.Data.HashMap
/-!
# State
In the [previous section](readers.lean.md), you learned about the `ReaderM` monad. Hopefully this gave you
a new perspective on Lean. It showed that, in fact, you _can_ have global variables of some sort;
you just need to encode them in the type signature somehow, and this is what monads are for! In this
part, you will explore the `StateM` monad, which is like a `ReaderM` only the state can also be updated.
## Motivating example: Tic Tac Toe
For this section, let's build a simple model for a Tic Tace Toe game. The main object is the `GameState`
data type containing several important pieces of information. First and foremost, it has the
"board", a map from 2D tile indices to the "Tile State" (X, O or empty). Then it also knows the
current player, and it has a random generator.
-/
open Batteries (HashMap)
abbrev TileIndex := Nat × Nat -- a 2D index
inductive TileState where
| TileEmpty | TileX | TileO
deriving Repr, BEq
inductive Player where
| XPlayer | OPlayer
deriving Repr, BEq
abbrev Board := HashMap TileIndex TileState
structure GameState where
board : Board
currentPlayer : Player
generator : StdGen
/-!
Let's think at a high level about how some of the game functions would work. You could, for
instance, have a function for selecting a random move. This would output a `TileIndex` to play and
alter the game's number generator. You would then make a move based on the selected move and the
current player. This would change the board state as well as swap the current player. In other
words, you have operations that depend on the current state of the game, but also need to **update
that state**.
## The StateM Monad to the Rescue
This is exactly the situation the `StateM` monad deals with. The `StateM` monad wraps computations in
the context of reading and modifying a global state object.
It is parameterized by a single type parameter `s`, the state type in use. So just like the `ReaderM`
has a single type you read from, the `StateM` has a single type you can both **read from and write
to**. There are three primary actions you can take within the `StateM`monad:
- **get** - retrieves the state, like Reader.read
- **set** - updates the state
- **modifyGet** - retrieves the state, then updates it
There is also a `run` function, similar to `run` on `ReaderM`. Like the `ReaderM` monad, you must
provide an initial state, in addition to the computation to run. `StateM` then produces two outputs:
the result of the computation combined with the final updated state.
If you wish to discard the final state and just get the computation's result, you can use
`run'` method instead. Yes in Lean, the apostrophe can be part of a name, you read this "run
prime", and the general naming convention is that the prime method discards something.
So for your Tic Tac Toe game, many of your functions will have a signature like `State GameState a`.
## Stateful Functions
Now you can examine some of the different functions mentioned above and determine their types.
You can, for instance, pick a random move:
-/
open TileState
def findOpen : StateM GameState (List TileIndex) := do
let game get
return game.board.toList.filterMap fun (i, x) => guard (x == TileEmpty) *> pure i
def chooseRandomMove : StateM GameState TileIndex := do
let game get
let openSpots findOpen
let gen := game.generator
let (i, gen') := randNat gen 0 (openSpots.length - 1)
set { game with generator := gen' }
return openSpots[i]!
/-!
This returns a `TileIndex` and modifies the random number generator stored in the `GameState`!
Notice you have a fun little use of the `Applicative.seqRight` operator `*>` in `findOpen`
as described in [Applicatives](applicatives.lean.md).
Now you can create the function that can make a move:
-/
open Player
def tileStateForPlayer : Player TileState
| XPlayer => TileX
| OPlayer => TileO
def nextPlayer : Player Player
| XPlayer => OPlayer
| OPlayer => XPlayer
def applyMove (i : TileIndex): StateM GameState Unit := do
let game get
let p := game.currentPlayer
let newBoard := game.board.insert i (tileStateForPlayer p)
set { game with currentPlayer := nextPlayer p, board := newBoard }
/-!
This updates the board in the `GameState` with the new tile, and then changes the current player,
providing no output (`Unit` return type).
So finally, you can combine these functions together with `do` notation, and it actually looks quite
clean! You don't need to worry about the side effects. The different monadic functions handle them.
Here's a sample of what your function might look like to play one turn of the game. At the end, it
returns a boolean determining if all the spaces have been filled.
Notice in `isGameDone` and `nextTurn` we have stopped providing the full return type
`StateM GameState Unit`. This is because Lean is able to infer the correct monadic return type
from the context and as a result the code is now looking really clean.
-/
def isGameDone := do
return ( findOpen).isEmpty
def nextTurn := do
let i chooseRandomMove
applyMove i
isGameDone
/-!
To give you a quick test harness that runs all moves for both players you can run this:
-/
def initBoard : Board := Id.run do
let mut board := HashMap.empty
for i in [0:3] do
for j in [0:3] do
let t : TileIndex := (i, j)
board := board.insert t TileEmpty
board
def printBoard (board : Board) : IO Unit := do
let mut row : List String := []
for i in board.toList do
let s := match i.2 with
| TileEmpty => " "
| TileX => "X"
| TileO => "O"
row := row.append [s]
if row.length == 3 then
IO.println row
row := []
def playGame := do
while true do
let finished nextTurn
if finished then return
def main : IO Unit := do
let gen IO.stdGenRef.get
let (x, gen') := randNat gen 0 1
let gs := {
board := initBoard,
currentPlayer := if x = 0 then XPlayer else OPlayer,
generator := gen' }
let (_, g) := playGame |>.run gs
printBoard g.board
#eval main
-- [X, X, O]
-- [X, O, O]
-- [O, O, X]
/-!
Note that when you run the above code interactively the random number generator always starts in the
same place. But if you run `lean --run states.lean` then you will see randomness in the result.
## Implementation
It may be helpful to see how the `StateM` monad adds the input state and output state. If you look
at the reduced Type for `nextTurn`:
-/
#reduce StateM GameState Bool
-- GameState → Bool × GameState
/-!
So a function like `nextTurn` that might have just returned a `Bool` has been modified by the
`StateM` monad such that the initial `GameState` is passed in as a new input argument, and the output
value has been changed to the pair `Bool × GameState` so that it can return the pure `Bool` and the
updated `GameState`. So `playGame` then is automatically saving that updated game state so that each
time around the `while` loop it is acting on the new state, otherwise that would be an infinite loop!
It is also interesting to see how much work the `do` and `←` notation are doing for you. To
implement the `nextTurn` function without these you would have to write this, manually plumbing
the state all the way through:
-/
def nextTurnManually : StateM GameState Bool
| state =>
let (i, gs) := chooseRandomMove |>.run state
let (_, gs') := applyMove i |>.run gs
let (result, gs'') := isGameDone |>.run gs'
(result, gs'')
/-!
This expression `let (i, gs)` conveniently breaks a returned pair up into 2 variables.
In the expression `let (_, gs')` we didn't care what the first value was so we used underscore.
Notice that nextTurn is capturing the updated game state from `chooseRandomMove` in the variable
`gs`, which it is then passing to `applyMove` which returns `gs'` which is passed to `isGameDone`
and that function returns `gs''` which we then return from `nextTurnManually`. Phew, what a lot
of work you don't have to do when you use `do` notation!
## StateM vs ReaderM
While `ReaderM` functions can use `withReader` to modify the context before calling another function,
`StateM` functions are a little more powerful, let's look at this function again:
```
def nextTurn : StateM GameState Bool := do
let i ← chooseRandomMove
applyMove i
isGameDone
```
In this function `chooseRandomMove` is modifying the state that `applyMove` is getting
and `chooseRandomMove` knows nothing about `applyMove`. So `StateM` functions can have this
kind of downstream effect outside their own scope, whereas, `withReader` cannot do that.
So there is no equivalent to `withReader` for `StateM`, besides you can always use the `StateM`
`set` function to modify the state before calling the next function anyway. You could however,
manually call a `StateM` function like you see in `nextTurnManually` and completely override
the state at any point that way.
## State, IO and other languages
When thinking about Lean, it is often seen as a restriction that you can't have global variables or
`static` variables like you can with other languages like Python or C++. However, hopefully you see
now this isn't true. You can have a data type with exactly the same functionality as a Python class.
You would simply have many functions that can modify some global state using the `StateM` monad.
The difference is in Lean you simply put a label on these types of functions. You don't allow it to
happen for free anywhere in an uncontrolled fashion because that results in too many sleepless
nights debugging nasty code. You want to know when side effects can potentially happen, because
knowing when they can happen makes your code easier to reason about. In a Python class, many of the
methods won't actually need to modify the global state. But they could, which makes it harder to
debug them. In Lean you can simply make these pure functions, and the compiler will ensure they stay
pure and cannot modify any global state.
IO is the same way. It's not like you can't perform IO in Lean. Instead, you want to label the areas
where you can, to increase your certainty about the areas where you don't need to. When you know part of
your code cannot communicate with the outside world, you can be far more certain of its behavior.
The `StateM` monad is also a more disciplined way of managing side effects. Top level code could
call a `StateM` function multiple times with different independent initial states, even doing that
across multiple tasks in parallel and each of these cannot clobber the state belonging to other
tasks. Monadic code is more predictable and reusable than code that uses global variables.
## Summary
That wraps it up for the `StateM` monad! There is one more very useful monad that can be used to do
exception handling which will be covered in the [next section](except.lean.md).
-/

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/-!
# Monad Transformers
In the previous sections you learned about some handy monads [Option](monads.lean.md),
[IO](monads.lean.md), [Reader](readers.lean.md), [State](states.lean.md) and
[Except](except.lean.md), and you now know how to make your function use one of these, but what you
do not yet know is how to make your function use multiple monads at once.
For example, suppose you need a function that wants to access some Reader context and optionally throw
an exception? This would require composition of two monads `ReaderM` and `Except` and this is what
monad transformers are for.
A monad transformer is fundamentally a wrapper type. It is generally parameterized by another
monadic type. You can then run actions from the inner monad, while adding your own customized
behavior for combining actions in this new monad. The common transformers add `T` to the end of an
existing monad name. You will find `OptionT`, `ExceptT`, `ReaderT`, `StateT` but there is no transformer
for `IO`. So generally if you need `IO` it becomes the innermost wrapped monad.
In the following example we use `ReaderT` to provide some read only context to a function
and this `ReaderT` transformer will wrap an `Except` monad. If all goes well the
`requiredArgument` returns the value of a required argument and `optionalSwitch`
returns true if the optional argument is present.
-/
abbrev Arguments := List String
def indexOf? [BEq α] (xs : List α) (s : α) (start := 0): Option Nat :=
match xs with
| [] => none
| a :: tail => if a == s then some start else indexOf? tail s (start+1)
def requiredArgument (name : String) : ReaderT Arguments (Except String) String := do
let args read
let value := match indexOf? args name with
| some i => if i + 1 < args.length then args[i+1]! else ""
| none => ""
if value == "" then throw s!"Command line argument {name} missing"
return value
def optionalSwitch (name : String) : ReaderT Arguments (Except String) Bool := do
let args read
return match (indexOf? args name) with
| some _ => true
| none => false
#eval requiredArgument "--input" |>.run ["--input", "foo"]
-- Except.ok "foo"
#eval requiredArgument "--input" |>.run ["foo", "bar"]
-- Except.error "Command line argument --input missing"
#eval optionalSwitch "--help" |>.run ["--help"]
-- Except.ok true
#eval optionalSwitch "--help" |>.run []
-- Except.ok false
/-!
Notice that `throw` was available from the inner `Except` monad. The cool thing is you can switch
this around and get the exact same result using `ExceptT` as the outer monad transformer and
`ReaderM` as the wrapped monad. Try changing requiredArgument to `ExceptT String (ReaderM Arguments) Bool`.
Note: the `|>.` notation is described in [Readers](readers.lean.md#the-reader-solution).
## Adding more layers
Here's the best part about monad transformers. Since the result of a monad transformer is itself a
monad, you can wrap it inside another transformer! Suppose you need to pass in some read only context
like the command line arguments, update some read-write state (like program Config) and optionally
throw an exception, then you could write this:
-/
structure Config where
help : Bool := false
verbose : Bool := false
input : String := ""
deriving Repr
abbrev CliConfigM := StateT Config (ReaderT Arguments (Except String))
def parseArguments : CliConfigM Bool := do
let mut config get
if ( optionalSwitch "--help") then
throw "Usage: example [--help] [--verbose] [--input <input file>]"
config := { config with
verbose := ( optionalSwitch "--verbose"),
input := ( requiredArgument "--input") }
set config
return true
def main (args : List String) : IO Unit := do
let config : Config := { input := "default"}
match parseArguments |>.run config |>.run args with
| Except.ok (_, c) => do
IO.println s!"Processing input '{c.input}' with verbose={c.verbose}"
| Except.error s => IO.println s
#eval main ["--help"]
-- Usage: example [--help] [--verbose] [--input <input file>]
#eval main ["--input", "foo"]
-- Processing input file 'foo' with verbose=false
#eval main ["--verbose", "--input", "bar"]
-- Processing input 'bar' with verbose=true
/-!
In this example `parseArguments` is actually three stacked monads, `StateM`, `ReaderM`, `Except`. Notice
the convention of abbreviating long monadic types with an alias like `CliConfigM`.
## Monad Lifting
Lean makes it easy to compose functions that use different monads using a concept of automatic monad
lifting. You already used lifting in the above code, because you were able to compose
`optionalSwitch` which has type `ReaderT Arguments (Except String) Bool` and call it from
`parseArguments` which has a bigger type `StateT Config (ReaderT Arguments (Except String))`.
This "just worked" because Lean did some magic with monad lifting.
To give you a simpler example of this, suppose you have the following function:
-/
def divide (x : Float ) (y : Float): ExceptT String Id Float :=
if y == 0 then
throw "can't divide by zero"
else
pure (x / y)
#eval divide 6 3 -- Except.ok 2.000000
#eval divide 1 0 -- Except.error "can't divide by zero"
/-!
Notice here we used the `ExceptT` transformer, but we composed it with the `Id` identity monad.
This is then the same as writing `Except String Float` since the identity monad does nothing.
Now suppose you want to count the number of times divide is called and store the result in some
global state:
-/
def divideCounter (x : Float) (y : Float) : StateT Nat (ExceptT String Id) Float := do
modify fun s => s + 1
divide x y
#eval divideCounter 6 3 |>.run 0 -- Except.ok (2.000000, 1)
#eval divideCounter 1 0 |>.run 0 -- Except.error "can't divide by zero"
/-!
The `modify` function is a helper which makes it easier to use `modifyGet` from the `StateM` monad.
But something interesting is happening here, `divideCounter` is returning the value of
`divide`, but the types don't match, yet it works? This is monad lifting in action.
You can see this more clearly with the following test:
-/
def liftTest (x : Except String Float) :
StateT Nat (Except String) Float := x
#eval liftTest (divide 5 1) |>.run 3 -- Except.ok (5.000000, 3)
/-!
Notice that `liftTest` returned `x` without doing anything to it, yet that matched the return type
`StateT Nat (Except String) Float`. Monad lifting is provided by monad transformers. if you
`#print liftTest` you will see that Lean is implementing this using a call to a function named
`monadLift` from the `MonadLift` type class:
```lean,ignore
class MonadLift (m : Type u → Type v) (n : Type u → Type w) where
monadLift : {α : Type u} → m α → n α
```
So `monadLift` is a function for lifting a computation from an inner `Monad m α ` to an outer `Monad n α`.
You could replace `x` in `liftTest` with `monadLift x` if you want to be explicit about it.
The StateT monad transformer defines an instance of `MonadLift` like this:
```lean
@[inline] protected def lift {α : Type u} (t : m α) : StateT σ m α :=
fun s => do let a ← t; pure (a, s)
instance : MonadLift m (StateT σ m) := ⟨StateT.lift⟩
```
This means that any monad `m` can be wrapped in a `StateT` monad by using the function
`fun s => do let a ← t; pure (a, s)` that takes state `s`, runs the inner monad action `t`, and
returns the result and the new state in a pair `(a, s)` without making any changes to `s`.
Because `MonadLift` is a type class, Lean can automatically find the required `monadLift`
instances in order to make your code compile and in this way it was able to find the `StateT.lift`
function and use it to wrap the result of `divide` so that the correct type is returned from
`divideCounter`.
If you have an instance `MonadLift m n` that means there is a way to turn a computation that happens
inside of `m` into one that happens inside of `n` and (this is the key part) usually *without* the
instance itself creating any additional data that feeds into the computation. This means you can in
principle declare lifting instances from any monad to any other monad, it does not, however, mean
that you should do this in all cases. You can get a very nice report on how all this was done by
adding the line `set_option trace.Meta.synthInstance true in` before `divideCounter` and moving you
cursor to the end of the first line after `do`.
This was a lot of detail, but it is very important to understand how monad lifting works because it
is used heavily in Lean programs.
## Transitive lifting
There is also a transitive version of `MonadLift` called `MonadLiftT` which can lift multiple
monad layers at once. In the following example we added another monad layer with
`ReaderT String ...` and notice that `x` is also automatically lifted to match.
-/
def liftTest2 (x : Except String Float) :
ReaderT String (StateT Nat (Except String)) Float := x
#eval liftTest2 (divide 5 1) |>.run "" |>.run 3
-- Except.ok (5.000000, 3)
/-!
The ReaderT monadLift is even simpler than the one for StateT:
```lean,ignore
instance : MonadLift m (ReaderT ρ m) where
monadLift x := fun _ => x
```
This lift operation creates a function that defines the required `ReaderT` input
argument, but the inner monad doesn't know or care about `ReaderT` so the
monadLift function throws it away with the `_` then calls the inner monad action `x`.
This is a perfectly legal implementation of the `ReaderM` monad.
## Add your own Custom MonadLift
This does not compile:
-/
def main2 : IO Unit := do
try
let ret divideCounter 5 2 |>.run 0
IO.println (toString ret)
catch e =>
IO.println e
/-!
saying:
```
typeclass instance problem is stuck, it is often due to metavariables
ToString ?m.4786
```
The reason is `divideCounter` returns the big `StateT Nat (ExceptT String Id) Float` and that type
cannot be automatically lifted into the `main` return type of `IO Unit` unless you give it some
help.
The following custom `MonadLift` solves this problem:
-/
def liftIO (t : ExceptT String Id α) : IO α := do
match t with
| .ok r => EStateM.Result.ok r
| .error s => EStateM.Result.error s
instance : MonadLift (ExceptT String Id) IO where
monadLift := liftIO
def main3 : IO Unit := do
try
let ret divideCounter 5 2 |>.run 0
IO.println (toString ret)
catch e =>
IO.println e
#eval main3 -- (2.500000, 1)
/-!
It turns out that the `IO` monad you see in your `main` function is based on the `EStateM.Result` type
which is similar to the `Except` type but it has an additional return value. The `liftIO` function
converts any `Except String α` into `IO α` by simply mapping the ok case of the `Except` to the
`Result.ok` and the error case to the `Result.error`.
## Lifting ExceptT
In the previous [Except](except.lean.md) section you saw functions that `throw` Except
values. When you get all the way back up to your `main` function which has type `IO Unit` you have
the same problem you had above, because `Except String Float` doesn't match even if you use a
`try/catch`.
-/
def main4 : IO Unit := do
try
let ret divide 5 0
IO.println (toString ret) -- lifting happens here.
catch e =>
IO.println s!"Unhandled exception: {e}"
#eval main4 -- Unhandled exception: can't divide by zero
/-!
Without the `liftIO` the `(toString ret)` expression would not compile with a similar error:
```
typeclass instance problem is stuck, it is often due to metavariables
ToString ?m.6007
```
So the general lesson is that if you see an error like this when using monads, check for
a missing `MonadLift`.
## Summary
Now that you know how to combine your monads together, you're almost done with understanding the key
concepts of monads! You could probably go out now and start writing some pretty nice code! But to
truly master monads, you should know how to make your own, and there's one final concept that you
should understand for that. This is the idea of type "laws". Each of the structures you've learned
so far has a series of laws associated with it. And for your instances of these classes to make
sense, they should follow the laws! Check out [Monad Laws](laws.lean.md).
-/

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# Namespaces
Lean provides us with the ability to group definitions into nested, hierarchical *namespaces*:
```lean
namespace Foo
def a : Nat := 5
def f (x : Nat) : Nat := x + 7
def fa : Nat := f a
def ffa : Nat := f (f a)
#check a
#check f
#check fa
#check ffa
#check Foo.fa
end Foo
-- #check a -- error
-- #check f -- error
#check Foo.a
#check Foo.f
#check Foo.fa
#check Foo.ffa
open Foo
#check a
#check f
#check fa
#check Foo.fa
```
When we declare that we are working in the namespace ``Foo``, every identifier we declare has
a full name with prefix "``Foo.``" Within the namespace, we can refer to identifiers
by their shorter names, but once we end the namespace, we have to use the longer names.
The ``open`` command brings the shorter names into the current context. Often, when we import a
module, we will want to open one or more of the namespaces it contains, to have access to the short identifiers.
But sometimes we will want to leave this information hidden, for example, when they conflict with
identifiers in another namespace we want to use. Thus namespaces give us a way to manage our working environment.
For example, Lean groups definitions and theorems involving lists into a namespace ``List``.
```lean
#check List.nil
#check List.cons
#check List.map
```
We will discuss their types, below. The command ``open List`` allows us to use the shorter names:
```lean
open List
#check nil
#check cons
#check map
```
Like sections, namespaces can be nested:
```lean
namespace Foo
def a : Nat := 5
def f (x : Nat) : Nat := x + 7
def fa : Nat := f a
namespace Bar
def ffa : Nat := f (f a)
#check fa
#check ffa
end Bar
#check fa
#check Bar.ffa
end Foo
#check Foo.fa
#check Foo.Bar.ffa
open Foo
#check fa
#check Bar.ffa
```
Namespaces that have been closed can later be reopened, even in another file:
```lean
namespace Foo
def a : Nat := 5
def f (x : Nat) : Nat := x + 7
def fa : Nat := f a
end Foo
#check Foo.a
#check Foo.f
namespace Foo
def ffa : Nat := f (f a)
end Foo
```
Like sections, nested namespaces have to be closed in the order they are opened.
Namespaces and sections serve different purposes: namespaces organize data and sections declare variables for insertion in definitions.
Sections are also useful for delimiting the scope of commands such as ``set_option`` and ``open``.
In many respects, however, a ``namespace ... end`` block behaves the same as a ``section ... end`` block.
In particular, if you use the ``variable`` command within a namespace, its scope is limited to the namespace.
Similarly, if you use an ``open`` command within a namespace, its effects disappear when the namespace is closed.

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# Natural numbers
The `Nat` type represents the natural numbers, i.e., arbitrary-precision unsigned integers.
There are no overflows.
```lean
#eval 100000000000000000 * 200000000000000000000 * 1000000000000000000000
```
A numeral is considered to be a `Nat` if there are no typing constraints.
```lean
#check 10 -- Nat
#check id 10 -- Nat
def f (x : Int) : Int :=
x - 1
#eval f (3 - 5) -- 3 and 5 are `Int` since `f` expects an `Int`.
-- -3
```
The operator `-` for `Nat` implements truncated subtraction.
```lean
#eval 10 - 5 -- 5
#eval 5 - 10 -- 0
theorem ex : 5 - 10 = 0 :=
rfl
#eval (5:Int) - 10 -- -5
```
The operator `/` for `Nat` implements Euclidean division.
```lean
#eval 10 / 4 -- 2
#check 10.0 / 4.0 -- Float
#eval 10.0 / 4.0 -- 2.5
```
As we described in the previous sections, we define the `Nat` type as an `inductive` datatype.
```lean
# namespace hidden
inductive Nat where
| zero : Nat
| succ : Nat Nat
# end hidden
```
However, the internal representation of `Nat` is optimized. Small natural numbers (i.e., < `2^63` in a 64-bit machine) are
represented by a single machine word. Big numbers are implemented using [GMP](https://gmplib.org/manual/) numbers.
We recommend you use fixed precision numeric types only in performance critical code.
The Lean kernel has builtin support for the `Nat` type too, and can efficiently reduce `Nat` expressions during type checking.
```lean
#reduce 100000000000000000 * 200000000000000000000 * 1000000000000000000000
theorem ex
: 1000000000000000 * 2000000000000000000 = 2000000000000000000000000000000000 :=
rfl
```
The sharp-eyed reader will notice that GMP is part of the Lean kernel trusted code base.
We believe this is not a problem because you can use external type checkers to double-check your developments,
and we consider GMP very trustworthy.
Existing external type checkers for Lean 3 (e.g., [Trepplein](https://github.com/gebner/trepplein) and [TC](https://github.com/leanprover/tc))
can be easily adapted to Lean 4.
If you are still concerned after checking your development with multiple different external checkers because
they may all rely on buggy arbitrary-precision libraries,
you can develop your own certified arbitrary-precision library and use it to implement your own type checker for Lean.

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# Notations and Precedence
The most basic syntax extension commands allow introducing new (or
overloading existing) prefix, infix, and postfix operators.
```lean
infixl:65 " + " => HAdd.hAdd -- left-associative
infix:50 " = " => Eq -- non-associative
infixr:80 " ^ " => HPow.hPow -- right-associative
prefix:75 "-" => Neg.neg
# set_option quotPrecheck false
postfix:max "⁻¹" => Inv.inv
```
After the initial command name describing the operator kind (its
"fixity"), we give the *parsing precedence* of the operator preceded
by a colon `:`, then a new or existing token surrounded by double
quotes (the whitespace is used for pretty printing), then the function
this operator should be translated to after the arrow `=>`.
The precedence is a natural number describing how "tightly" an
operator binds to its arguments, encoding the order of operations. We
can make this more precise by looking at what the commands above unfold to:
```lean
notation:65 lhs:65 " + " rhs:66 => HAdd.hAdd lhs rhs
notation:50 lhs:51 " = " rhs:51 => Eq lhs rhs
notation:80 lhs:81 " ^ " rhs:80 => HPow.hPow lhs rhs
notation:75 "-" arg:75 => Neg.neg arg
# set_option quotPrecheck false
notation:1024 arg:1024 "⁻¹" => Inv.inv arg -- `max` is a shorthand for precedence 1024
```
It turns out that all commands from the first code block are in fact
command *macros* translating to the more general `notation` command.
We will learn about writing such macros below. Instead of a single
token, the `notation` command accepts a mixed sequence of tokens and
named term placeholders with precedences, which can be referenced on
the right-hand side of `=>` and will be replaced by the respective
term parsed at that position. A placeholder with precedence `p`
accepts only notations with precedence at least `p` in that place.
Thus the string `a + b + c` cannot be parsed as the equivalent of `a +
(b + c)` because the right-hand side operand of an `infixl` notation
has precedence one greater than the notation itself. In contrast,
`infixr` reuses the notation's precedence for the right-hand side
operand, so `a ^ b ^ c` *can* be parsed as `a ^ (b ^ c)`. Note that if
we used `notation` directly to introduce an infix notation like
```lean
# set_option quotPrecheck false
notation:65 lhs:65 " ~ " rhs:65 => wobble lhs rhs
```
where the precedences do not sufficiently determine associativity,
Lean's parser will default to right associativity. More precisely,
Lean's parser follows a local *longest parse* rule in the presence of
ambiguous grammars: when parsing the right-hand side of `a ~` in `a ~
b ~ c`, it will continue parsing as long as possible (as the current
precedence allows), not stopping after `b` but parsing `~ c` as well.
Thus the term is equivalent to `a ~ (b ~ c)`.
As mentioned above, the `notation` command allows us to define
arbitrary *mixfix* syntax freely mixing tokens and placeholders.
```lean
# set_option quotPrecheck false
notation:max "(" e ")" => e
notation:10 Γ "" e " : " τ => Typing Γ e τ
```
Placeholders without precedence default to `0`, i.e. they accept
notations of any precedence in their place. If two notations overlap,
we again apply the longest parse rule:
```lean
notation:65 a " + " b:66 " + " c:66 => a + b - c
#eval 1 + 2 + 3 -- 0
```
The new notation is preferred to the binary notation since the latter,
before chaining, would stop parsing after `1 + 2`. If there are
multiple notations accepting the same longest parse, the choice will
be delayed until elaboration, which will fail unless exactly one
overload is type correct.

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# Option

4
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@@ -0,0 +1,4 @@
# Organizational features
In this section we introduce some organizational features of Lean that are not a part of its kernel per se,
but make it possible to work in the framework more efficiently.

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@@ -5,19 +5,14 @@ See [Setup](./setup.md) for supported platforms and other ways to set up Lean 4.
1. Install [VS Code](https://code.visualstudio.com/).
1. Launch VS Code and install the `Lean 4` extension by clicking on the 'Extensions' sidebar entry and searching for 'Lean 4'.
1. Launch VS Code and install the `lean4` extension by clicking on the "Extensions" sidebar entry and searching for "lean4".
![installing the vscode-lean4 extension](images/code-ext.png)
![installing the vscode-lean4 extension](images/code-ext.png)
1. Open the Lean 4 setup guide by creating a new text file using 'File > New Text File' (`Ctrl+N` / `Cmd+N`), clicking on the ∀-symbol in the top right and selecting 'Documentation… > Docs: Show Setup Guide'.
1. Open the Lean 4 setup guide by creating a new text file using "File > New Text File" (`Ctrl+N`), clicking on the ∀-symbol in the top right and selecting "Documentation… > Setup: Show Setup Guide".
![show setup guide](images/show-setup-guide.png)
![show setup guide](images/show-setup-guide.png)
1. Follow the Lean 4 setup guide. It will:
1. Follow the Lean 4 setup guide. It will walk you through learning resources for Lean 4, teach you how to set up Lean's dependencies on your platform, install Lean 4 for you at the click of a button and help you set up your first project.
- walk you through learning resources for Lean,
- teach you how to set up Lean's dependencies on your platform,
- install Lean 4 for you at the click of a button,
- help you set up your first project.
![setup guide](images/setup_guide.png)
![setup guide](images/setup_guide.png)

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@@ -1,3 +0,0 @@
# The Lean Reference Manual
The latest version of the Lean reference manual is available [here](https://lean-lang.org/doc/reference/latest).

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# Variables and Sections
Consider the following three function definitions:
```lean
def compose (α β γ : Type) (g : β γ) (f : α β) (x : α) : γ :=
g (f x)
def doTwice (α : Type) (h : α α) (x : α) : α :=
h (h x)
def doThrice (α : Type) (h : α α) (x : α) : α :=
h (h (h x))
```
Lean provides us with the ``variable`` command to make such declarations look more compact:
```lean
variable (α β γ : Type)
def compose (g : β → γ) (f : α → β) (x : α) : γ :=
g (f x)
def doTwice (h : αα) (x : α) : α :=
h (h x)
def doThrice (h : αα) (x : α) : α :=
h (h (h x))
```
We can declare variables of any type, not just ``Type`` itself:
```lean
variable (α β γ : Type)
variable (g : β → γ) (f : α → β) (h : αα)
variable (x : α)
def compose := g (f x)
def doTwice := h (h x)
def doThrice := h (h (h x))
#print compose
#print doTwice
#print doThrice
```
Printing them out shows that all three groups of definitions have exactly the same effect.
The ``variable`` command instructs Lean to insert the declared variables as bound variables in definitions that refer to them.
Lean is smart enough to figure out which variables are used explicitly or implicitly in a definition. We can therefore proceed as
though ``α``, ``β``, ``γ``, ``g``, ``f``, ``h``, and ``x`` are fixed objects when we write our definitions, and let Lean abstract
the definitions for us automatically.
When declared in this way, a variable stays in scope until the end of the file we are working on.
Sometimes, however, it is useful to limit the scope of a variable. For that purpose, Lean provides the notion of a ``section``:
```lean
section useful
variable (α β γ : Type)
variable (g : β → γ) (f : α → β) (h : αα)
variable (x : α)
def compose := g (f x)
def doTwice := h (h x)
def doThrice := h (h (h x))
end useful
```
When the section is closed, the variables go out of scope, and become nothing more than a distant memory.
You do not have to indent the lines within a section. Nor do you have to name a section, which is to say,
you can use an anonymous ``section`` / ``end`` pair.
If you do name a section, however, you have to close it using the same name.
Sections can also be nested, which allows you to declare new variables incrementally.

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@@ -6,8 +6,7 @@ Platforms built & tested by our CI, available as binary releases via elan (see b
* x86-64 Linux with glibc 2.27+
* x86-64 macOS 10.15+
* aarch64 (Apple Silicon) macOS 10.15+
* x86-64 Windows 11 (any version), Windows 10 (version 1903 or higher), Windows Server 2022
* x86-64 Windows 10+
### Tier 2
@@ -17,6 +16,7 @@ Releases may be silently broken due to the lack of automated testing.
Issue reports and fixes are welcome.
* aarch64 Linux with glibc 2.27+
* aarch64 (Apple Silicon) macOS
* x86 (32-bit) Linux
* Emscripten Web Assembly

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# Strings

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# String interpolation
The `s!` prefix identifies a string literal as an interpolated string.
An interpolated string is a string literal that might contain interpolation expressions.
When an interpolated string is resolved to a result string, items with interpolation expressions are
replaced by the string representations of the expression results. The polymorphic method `toString` is used
to convert the value into a string.
String interpolation provides a more readable and convenient syntax to create formatted strings than
a string composite formatting feature. The following example uses both features to produce the same output:
```lean
def name := "John"
def age := 28
#eval IO.println s!"Hello, {name}! Are you {age} years old?"
#eval IO.println ("Hello, " ++ name ++ "! Are you " ++ toString age ++ " years old?")
-- `println! <interpolated-string>` is a macro for `IO.println s!<interpolated-string>`
#eval println! "Hello, {name}! Are you {age} years old?"
```
# Structure of an interpolated string
To identify a string literal as an interpolated string, prepend it with `s!`.
Terms inside braces `{}` are ordinary expressions whose type implements the type class `ToString`.
To include a curly brace `{` in your interpolated string, you must escape it using `\{`.
You can nest interpolated strings inside interpolated strings.
```lean
def vals := [1, 2, 3]
#eval IO.println s!"\{ vals := {vals} }"
#eval IO.println s!"variables: {vals.map (fun i => s!"x_{i}")}"
```
# `ToString` instances
You can define a `ToString` instance for your own datatypes.
```lean
structure Person where
name : String
age : Nat
instance : ToString Person where
toString : Person -> String
| { name := n, age := v } => s!"\{ name := {n}, age := {v} }"
def person1 : Person := {
name := "John"
age := 28
}
#eval println! "person1: {person1}"
```

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# Structures
Structure is a special case of inductive datatype. It has only one constructor and is not recursive.
Similar to the `inductive` command, the `structure` command introduces a namespace with the same name.
The general form is as follows:
```
structure <name> <parameters> <parent-structures> where
<constructor-name> :: <fields>
```
Most parts are optional. Here is our first example.
```lean
structure Point (α : Type u) where
x : α
y : α
```
In the example above, the constructor name is not provided. So, the constructor is named `mk` by Lean.
Values of type ``Point`` are created using `Point.mk a b` or `{ x := a, y := b : Point α }`. The latter can be
written as `{ x := a, y := b }` when the expected type is known.
The fields of a point ``p`` are accessed using ``Point.x p`` and ``Point.y p``. You can also the more compact notation `p.x` and `p.y` as a shorthand
for `Point.x p` and `Point.y p`.
```lean
# structure Point (α : Type u) where
# x : α
# y : α
#check Point
#check Point -- Type u -> Type u
#check @Point.mk -- {α : Type u} → αα → Point α
#check @Point.x -- {α : Type u} → Point αα
#check @Point.y -- {α : Type u} → Point αα
#check Point.mk 10 20 -- Point Nat
#check { x := 10, y := 20 : Point Nat } -- Point Nat
def mkPoint (a : Nat) : Point Nat :=
{ x := a, y := a }
#eval (Point.mk 10 20).x -- 10
#eval (Point.mk 10 20).y -- 20
#eval { x := 10, y := 20 : Point Nat }.x -- 10
#eval { x := 10, y := 20 : Point Nat }.y -- 20
def addXY (p : Point Nat) : Nat :=
p.x + p.y
#eval addXY { x := 10, y := 20 } -- 30
```
In the notation `{ ... }`, if the fields are in different lines, the `,` is optional.
```lean
# structure Point (α : Type u) where
# x : α
# y : α
def mkPoint (a : Nat) : Point Nat := {
x := a
y := a
}
```
You can also use `where` instead of `:= { ... }`.
```lean
# structure Point (α : Type u) where
# x : α
# y : α
def mkPoint (a : Nat) : Point Nat where
x := a
y := a
```
Here are some simple theorems about our `Point` type.
```lean
# structure Point (α : Type u) where
# x : α
# y : α
theorem ex1 (a b : α) : (Point.mk a b).x = a :=
rfl
theorem ex2 (a b : α) : (Point.mk a b).y = b :=
rfl
theorem ex3 (a b : α) : Point.mk a b = { x := a, y := b } :=
rfl
```
The dot notation is convenient not just for accessing the projections of a structure,
but also for applying functions defined in a namespace with the same name.
If ``p`` has type ``Point``, the expression ``p.foo`` is interpreted as ``Point.foo p``,
assuming that the first argument to ``foo`` has type ``Point``.
The expression ``p.add q`` is therefore shorthand for ``Point.add p q`` in the example below.
```lean
structure Point (α : Type u) where
x : α
y : α
def Point.add (p q : Point Nat) : Point Nat :=
{ x := p.x + q.x, y := p.y + q.y }
def p : Point Nat := Point.mk 1 2
def q : Point Nat := Point.mk 3 4
#eval (p.add q).x -- 4
#eval (p.add q).y -- 6
```
After we introduce type classes, we show how to define a function like ``add`` so that
it works generically for elements of ``Point α`` rather than just ``Point Nat``,
assuming ``α`` has an associated addition operation.
More generally, given an expression ``p.foo x y z``, Lean will insert ``p`` at the first argument to ``foo`` of type ``Point``.
For example, with the definition of scalar multiplication below, ``p.smul 3`` is interpreted as ``Point.smul 3 p``.
```lean
structure Point (α : Type u) where
x : α
y : α
def Point.smul (n : Nat) (p : Point Nat) :=
Point.mk (n * p.x) (n * p.y)
def p : Point Nat :=
Point.mk 1 2
#eval (p.smul 3).x -- 3
#eval (p.smul 3).y -- 6
```
## Inheritance
We can *extend* existing structures by adding new fields. This feature allows us to simulate a form of *inheritance*.
```lean
structure Point (α : Type u) where
x : α
y : α
inductive Color where
| red
| green
| blue
structure ColorPoint (α : Type u) extends Point α where
color : Color
#check { x := 10, y := 20, color := Color.red : ColorPoint Nat }
-- { toPoint := { x := 10, y := 20 }, color := Color.red }
```
The output for the `check` command above suggests how Lean encoded inheritance and multiple inheritance.
Lean uses fields to each parent structure.
```lean
structure Foo where
x : Nat
y : Nat
structure Boo where
w : Nat
z : Nat
structure Bla extends Foo, Boo where
bit : Bool
#check Bla.mk -- Foo → Boo → Bool → Bla
#check Bla.mk { x := 10, y := 20 } { w := 30, z := 40 } true
#check { x := 10, y := 20, w := 30, z := 40, bit := true : Bla }
#check { toFoo := { x := 10, y := 20 },
toBoo := { w := 30, z := 40 },
bit := true : Bla }
theorem ex :
Bla.mk { x := x, y := y } { w := w, z := z } b
=
{ x := x, y := y, w := w, z := z, bit := b } :=
rfl
```
## Default field values
You can assign default value to fields when declaring a new structure.
```lean
inductive MessageSeverity
| error | warning
structure Message where
fileName : String
pos : Option Nat := none
severity : MessageSeverity := MessageSeverity.error
caption : String := ""
data : String
def msg1 : Message :=
{ fileName := "foo.lean", data := "failed to import file" }
#eval msg1.pos -- none
#eval msg1.fileName -- "foo.lean"
#eval msg1.caption -- ""
```
When extending a structure, you can not only add new fields, but provide new default values for existing fields.
```lean
# inductive MessageSeverity
# | error | warning
# structure Message where
# fileName : String
# pos : Option Nat := none
# severity : MessageSeverity := MessageSeverity.error
# caption : String := ""
# data : String
structure MessageExt extends Message where
timestamp : Nat
caption := "extended" -- new default value for field `caption`
def msg2 : MessageExt where
fileName := "bar.lean"
data := "error at initialization"
timestamp := 10
#eval msg2.fileName -- "bar.lean"
#eval msg2.timestamp -- 10
#eval msg2.caption -- "extended"
```
## Updating structure fields
Structure fields can be updated using `{ <struct-val> with <field> := <new-value>, ... }`:
```lean
# structure Point (α : Type u) where
# x : α
# y : α
def incrementX (p : Point Nat) : Point Nat := { p with x := p.x + 1 }
```

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# Syntax Extensions
Lean's syntax can be extended and customized
by users at every level, ranging from [basic "mixfix" notations](./notation.md)
over [macro transformers](./macro_overview.md) to
[type-aware elaborators](./elaborators.md). In fact, all builtin syntax is parsed and
processed using the same mechanisms and APIs open to users. In this
section, we will describe and explain the various extension points.
Significant syntax extensions already builtin into Lean such as the
[`do` notation](./do.md) are described in subsections.
While introducing new syntax is a relatively rare feature in
programming languages and sometimes even frowned upon because of its
potential to obscure code, it is an invaluable tool in formalization
for expressing established conventions and notations of the respective
field succinctly in code. Going beyond basic notations, Lean's ability
to factor out common boilerplate code into (well-behaved) macros and
to embed entire custom domain specific languages (DSLs) to textually
encode subproblems efficiently and readably can be of great benefit to
both programmers and proof engineers alike.

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@@ -43,8 +43,7 @@ $ pdflatex test.tex
## Example with `minted`
First [install Pygments](https://pygments.org/download/) (version 2.18 or newer).
Then save the following sample LaTeX file `test.tex` into the same directory:
First [install Pygments](https://pygments.org/download/). Then save [`lean4.py`](https://raw.githubusercontent.com/leanprover/lean4/master/doc/latex/lean4.py), which contains an version of the Lean highlighter updated for Lean 4, and the following sample LaTeX file `test.tex` into the same directory:
```latex
\documentclass{article}
@@ -52,8 +51,9 @@ Then save the following sample LaTeX file `test.tex` into the same directory:
% switch to a monospace font supporting more Unicode characters
\setmonofont{FreeMono}
\usepackage{minted}
\newmintinline[lean]{lean4}{bgcolor=white}
\newminted[leancode]{lean4}{fontsize=\footnotesize}
% instruct minted to use our local theorem.py
\newmintinline[lean]{lean4.py:Lean4Lexer -x}{bgcolor=white}
\newminted[leancode]{lean4.py:Lean4Lexer -x}{fontsize=\footnotesize}
\usemintedstyle{tango} % a nice, colorful theme
\begin{document}
@@ -67,6 +67,9 @@ theorem funext {f₁ f₂ : ∀ (x : α), β x} (h : ∀ x, f₁ x = f₂ x) : f
\end{document}
```
If your version of `minted` is v2.7 or newer, but before v3.0,
you will additionally need to follow the workaround described in https://github.com/gpoore/minted/issues/360.
You can then compile `test.tex` by executing the following command:
```bash
@@ -78,14 +81,11 @@ Some remarks:
- either `xelatex` or `lualatex` is required to handle Unicode characters in the code.
- `--shell-escape` is needed to allow `xelatex` to execute `pygmentize` in a shell.
- If the chosen monospace font is missing some Unicode symbols, you can direct them to be displayed using a fallback font or other replacement LaTeX code.
``` latex
\usepackage{newunicodechar}
\newfontfamily{\freeserif}{DejaVu Sans}
\newunicodechar{✝}{\freeserif{✝}}
\newunicodechar{𝓞}{\ensuremath{\mathcal{O}}}
```
- If you are using an old version of Pygments, you can copy
[`lean.py`](https://raw.githubusercontent.com/pygments/pygments/master/pygments/lexers/lean.py) into your working directory,
and use `lean4.py:Lean4Lexer -x` instead of `lean4` above.
If your version of `minted` is v2.7 or newer, but before v3.0,
you will additionally need to follow the workaround described in https://github.com/gpoore/minted/issues/360.
``` latex
\usepackage{newunicodechar}
\newfontfamily{\freeserif}{DejaVu Sans}
\newunicodechar{✝}{\freeserif{✝}}
\newunicodechar{𝓞}{\ensuremath{\mathcal{O}}}
```
- minted has a "helpful" feature that draws red boxes around characters the chosen lexer doesn't recognize.
Since the Lean lexer cannot encompass all user-defined syntax, it is advisable to [work around](https://tex.stackexchange.com/a/343506/14563) this feature.

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# Task

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# Thunks, Tasks, and Threads
A `Thunk` is defined as
```lean
# namespace Ex
# universe u
structure Thunk (α : Type u) : Type u where
fn : Unit α
# end Ex
```
A `Thunk` encapsulates a computation without evaluation.
That is, a `Thunk` stores the way of how the value would be computed.
The Lean runtime has special support for `Thunk`s. It caches their values
after they are computed for the first time. This feature is useful for implementing
data structures such as lazy lists.
Here is a small example using a `Thunk`.
```lean
def fib : Nat Nat
| 0 => 0
| 1 => 1
| x+2 => fib (x+1) + fib x
def f (c : Bool) (x : Thunk Nat) : Nat :=
if c then
x.get
else
0
def g (c : Bool) (x : Nat) : Nat :=
f c (Thunk.mk (fun _ => fib x))
#eval g false 1000
```
The function `f` above uses `x.get` to evaluate the `Thunk` `x`.
The expression `Thunk.mk (fun _ => fib x)` creates a `Thunk` for computing `fib x`.
Note that `fib` is a very naive function for computing the Fibonacci numbers,
and it would an unreasonable amount of time to compute `fib 1000`. However, our
test terminates instantaneously because the `Thunk` is not evaluated when `c` is `false`.
Lean has a builtin coercion from any type `a` to `Thunk a`. You write the function `g` above as
```lean
# def fib : Nat Nat
# | 0 => 0
# | 1 => 1
# | x+2 => fib (x+1) + fib x
# def f (c : Bool) (x : Thunk Nat) : Nat :=
# if c then
# x.get
# else
# 0
def g (c : Bool) (x : Nat) : Nat :=
f c (fib x)
#eval g false 1000
```
In the following example, we use the macro `dbg_trace` to demonstrate
that the Lean runtime caches the value computed by a `Thunk`.
We remark that the macro `dbg_trace` should be used for debugging purposes
only.
```lean
def add1 (x : Nat) : Nat :=
dbg_trace "add1: {x}"
x + 1
def double (x : Thunk Nat) : Nat :=
x.get + x.get
def triple (x : Thunk Nat) : Nat :=
double x + x.get
def test (x : Nat) : Nat :=
triple (add1 x)
#eval test 2
-- add1: 2
-- 9
```
Note that the message `add1: 2` is printed only once.
Now, consider the same example using `Unit -> Nat` instead of `Thunk Nat`.
```lean
def add1 (x : Nat) : Nat :=
dbg_trace "add1: {x}"
x + 1
def double (x : Unit -> Nat) : Nat :=
x () + x ()
def triple (x : Unit -> Nat) : Nat :=
double x + x ()
def test (x : Nat) : Nat :=
triple (fun _ => add1 x)
#eval test 2
-- add1: 2
-- add1: 2
-- 9
```
Now, the message `add1: 2` is printed twice.
It may come as a surprise that it was printed twice instead of three times.
As we pointed out, `dbg_trace` is a macro used for debugging purposes only,
and `add1` is still considered to be a pure function.
The Lean compiler performs common subexpression elimination when compiling `double`,
and the produced code for `double` executes `x ()` only once instead of twice.
This transformation is safe because `x : Unit -> Nat` is pure.

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# Type classes
Typeclasses were introduced as a principled way of enabling
ad-hoc polymorphism in functional programming languages. We first observe that it
would be easy to implement an ad-hoc polymorphic function (such as addition) if the
function simply took the type-specific implementation of addition as an argument
and then called that implementation on the remaining arguments. For example,
suppose we declare a structure in Lean to hold implementations of addition
```lean
# namespace Ex
structure Add (a : Type) where
add : a -> a -> a
#check @Add.add
-- Add.add : {a : Type} → Add a → a → a → a
# end Ex
```
In the above Lean code, the field `add` has type
`Add.add : {α : Type} → Add αααα`
where the curly braces around the type `a` mean that it is an implicit argument.
We could implement `double` by
```lean
# namespace Ex
# structure Add (a : Type) where
# add : a -> a -> a
def double (s : Add a) (x : a) : a :=
s.add x x
#eval double { add := Nat.add } 10
-- 20
#eval double { add := Nat.mul } 10
-- 100
#eval double { add := Int.add } 10
-- 20
# end Ex
```
Note that you can double a natural number `n` by `double { add := Nat.add } n`.
Of course, it would be highly cumbersome for users to manually pass the
implementations around in this way.
Indeed, it would defeat most of the potential benefits of ad-hoc
polymorphism.
The main idea behind typeclasses is to make arguments such as `Add a` implicit,
and to use a database of user-defined instances to synthesize the desired instances
automatically through a process known as typeclass resolution. In Lean, by changing
`structure` to `class` in the example above, the type of `Add.add` becomes
```lean
# namespace Ex
class Add (a : Type) where
add : a -> a -> a
#check @Add.add
-- Add.add : {a : Type} → [self : Add a] → a → a → a
# end Ex
```
where the square brackets indicate that the argument of type `Add a` is *instance implicit*,
i.e. that it should be synthesized using typeclass resolution. This version of
`add` is the Lean analogue of the Haskell term `add :: Add a => a -> a -> a`.
Similarly, we can register an instance by
```lean
# namespace Ex
# class Add (a : Type) where
# add : a -> a -> a
instance : Add Nat where
add := Nat.add
# end Ex
```
Then for `n : Nat` and `m : Nat`, the term `Add.add n m` triggers typeclass resolution with the goal
of `Add Nat`, and typeclass resolution will synthesize the instance above. In
general, instances may depend on other instances in complicated ways. For example,
you can declare an (anonymous) instance stating that if `a` has addition, then `Array a`
has addition:
```lean
instance [Add a] : Add (Array a) where
add x y := Array.zipWith x y (· + ·)
#eval Add.add #[1, 2] #[3, 4]
-- #[4, 6]
#eval #[1, 2] + #[3, 4]
-- #[4, 6]
```
Note that `x + y` is notation for `Add.add x y` in Lean.
The example above demonstrates how type classes are used to overload notation.
Now, we explore another application. We often need an arbitrary element of a given type.
Recall that types may not have any elements in Lean.
It often happens that we would like a definition to return an arbitrary element in a "corner case."
For example, we may like the expression ``head xs`` to be of type ``a`` when ``xs`` is of type ``List a``.
Similarly, many theorems hold under the additional assumption that a type is not empty.
For example, if ``a`` is a type, ``exists x : a, x = x`` is true only if ``a`` is not empty.
The standard library defines a type class ``Inhabited`` to enable type class inference to infer a
"default" or "arbitrary" element of an inhabited type.
Let us start with the first step of the program above, declaring an appropriate class:
```lean
# namespace Ex
class Inhabited (a : Sort u) where
default : a
#check @Inhabited.default
-- Inhabited.default : {a : Sort u} → [self : Inhabited a] → a
# end Ex
```
Note `Inhabited.default` doesn't have any explicit argument.
An element of the class ``Inhabited a`` is simply an expression of the form ``Inhabited.mk x``, for some element ``x : a``.
The projection ``Inhabited.default`` will allow us to "extract" such an element of ``a`` from an element of ``Inhabited a``.
Now we populate the class with some instances:
```lean
# namespace Ex
# class Inhabited (a : Sort _) where
# default : a
instance : Inhabited Bool where
default := true
instance : Inhabited Nat where
default := 0
instance : Inhabited Unit where
default := ()
instance : Inhabited Prop where
default := True
#eval (Inhabited.default : Nat)
-- 0
#eval (Inhabited.default : Bool)
-- true
# end Ex
```
You can use the command `export` to create the alias `default` for `Inhabited.default`
```lean
# namespace Ex
# class Inhabited (a : Sort _) where
# default : a
# instance : Inhabited Bool where
# default := true
# instance : Inhabited Nat where
# default := 0
# instance : Inhabited Unit where
# default := ()
# instance : Inhabited Prop where
# default := True
export Inhabited (default)
#eval (default : Nat)
-- 0
#eval (default : Bool)
-- true
# end Ex
```
## Chaining Instances
If that were the extent of type class inference, it would not be all that impressive;
it would be simply a mechanism of storing a list of instances for the elaborator to find in a lookup table.
What makes type class inference powerful is that one can *chain* instances. That is,
an instance declaration can in turn depend on an implicit instance of a type class.
This causes class inference to chain through instances recursively, backtracking when necessary, in a Prolog-like search.
For example, the following definition shows that if two types ``a`` and ``b`` are inhabited, then so is their product:
```lean
instance [Inhabited a] [Inhabited b] : Inhabited (a × b) where
default := (default, default)
```
With this added to the earlier instance declarations, type class instance can infer, for example, a default element of ``Nat × Bool``:
```lean
# namespace Ex
# class Inhabited (a : Sort u) where
# default : a
# instance : Inhabited Bool where
# default := true
# instance : Inhabited Nat where
# default := 0
# opaque default [Inhabited a] : a :=
# Inhabited.default
instance [Inhabited a] [Inhabited b] : Inhabited (a × b) where
default := (default, default)
#eval (default : Nat × Bool)
-- (0, true)
# end Ex
```
Similarly, we can inhabit type function with suitable constant functions:
```lean
# namespace Ex
# class Inhabited (a : Sort u) where
# default : a
# opaque default [Inhabited a] : a :=
# Inhabited.default
instance [Inhabited b] : Inhabited (a -> b) where
default := fun _ => default
# end Ex
```
As an exercise, try defining default instances for other types, such as `List` and `Sum` types.
The Lean standard library contains the definition `inferInstance`. It has type `{α : Sort u} → [i : α] → α`,
and is useful for triggering the type class resolution procedure when the expected type is an instance.
```lean
#check (inferInstance : Inhabited Nat) -- Inhabited Nat
def foo : Inhabited (Nat × Nat) :=
inferInstance
theorem ex : foo.default = (default, default) :=
rfl
```
You can use the command `#print` to inspect how simple `inferInstance` is.
```lean
#print inferInstance
```
## ToString
The polymorphic method `toString` has type `{α : Type u} → [ToString α] → α → String`. You implement the instance
for your own types and use chaining to convert complex values into strings. Lean comes with `ToString` instances
for most builtin types.
```lean
structure Person where
name : String
age : Nat
instance : ToString Person where
toString p := p.name ++ "@" ++ toString p.age
#eval toString { name := "Leo", age := 542 : Person }
#eval toString ({ name := "Daniel", age := 18 : Person }, "hello")
```
## Numerals
Numerals are polymorphic in Lean. You can use a numeral (e.g., `2`) to denote an element of any type that implements
the type class `OfNat`.
```lean
structure Rational where
num : Int
den : Nat
inv : den ≠ 0
instance : OfNat Rational n where
ofNat := { num := n, den := 1, inv := by decide }
instance : ToString Rational where
toString r := s!"{r.num}/{r.den}"
#eval (2 : Rational) -- 2/1
#check (2 : Rational) -- Rational
#check (2 : Nat) -- Nat
```
Lean elaborate the terms `(2 : Nat)` and `(2 : Rational)` as
`OfNat.ofNat Nat 2 (instOfNatNat 2)` and
`OfNat.ofNat Rational 2 (instOfNatRational 2)` respectively.
We say the numerals `2` occurring in the elaborated terms are *raw* natural numbers.
You can input the raw natural number `2` using the macro `nat_lit 2`.
```lean
#check nat_lit 2 -- Nat
```
Raw natural numbers are *not* polymorphic.
The `OfNat` instance is parametric on the numeral. So, you can define instances for particular numerals.
The second argument is often a variable as in the example above, or a *raw* natural number.
```lean
class Monoid (α : Type u) where
unit : α
op : ααα
instance [s : Monoid α] : OfNat α (nat_lit 1) where
ofNat := s.unit
def getUnit [Monoid α] : α :=
1
```
Because many users were forgetting the `nat_lit` when defining `OfNat` instances, Lean also accepts `OfNat` instance
declarations not using `nat_lit`. Thus, the following is also accepted.
```lean
class Monoid (α : Type u) where
unit : α
op : ααα
instance [s : Monoid α] : OfNat α 1 where
ofNat := s.unit
def getUnit [Monoid α] : α :=
1
```
## Output parameters
By default, Lean only tries to synthesize an instance `Inhabited T` when the term `T` is known and does not
contain missing parts. The following command produces the error
"failed to create type class instance for `Inhabited (Nat × ?m.1499)`" because the type has a missing part (i.e., the `_`).
```lean
# -- FIXME: should fail
#check (inferInstance : Inhabited (Nat × _))
```
You can view the parameter of the type class `Inhabited` as an *input* value for the type class synthesizer.
When a type class has multiple parameters, you can mark some of them as output parameters.
Lean will start type class synthesizer even when these parameters have missing parts.
In the following example, we use output parameters to define a *heterogeneous* polymorphic
multiplication.
```lean
# namespace Ex
class HMul (α : Type u) (β : Type v) (γ : outParam (Type w)) where
hMul : α → β → γ
export HMul (hMul)
instance : HMul Nat Nat Nat where
hMul := Nat.mul
instance : HMul Nat (Array Nat) (Array Nat) where
hMul a bs := bs.map (fun b => hMul a b)
#eval hMul 4 3 -- 12
#eval hMul 4 #[2, 3, 4] -- #[8, 12, 16]
# end Ex
```
The parameters `α` and `β` are considered input parameters and `γ` an output one.
Given an application `hMul a b`, after types of `a` and `b` are known, the type class
synthesizer is invoked, and the resulting type is obtained from the output parameter `γ`.
In the example above, we defined two instances. The first one is the homogeneous
multiplication for natural numbers. The second is the scalar multiplication for arrays.
Note that, you chain instances and generalize the second instance.
```lean
# namespace Ex
class HMul (α : Type u) (β : Type v) (γ : outParam (Type w)) where
hMul : α → β → γ
export HMul (hMul)
instance : HMul Nat Nat Nat where
hMul := Nat.mul
instance : HMul Int Int Int where
hMul := Int.mul
instance [HMul α β γ] : HMul α (Array β) (Array γ) where
hMul a bs := bs.map (fun b => hMul a b)
#eval hMul 4 3 -- 12
#eval hMul 4 #[2, 3, 4] -- #[8, 12, 16]
#eval hMul (-2) #[3, -1, 4] -- #[-6, 2, -8]
#eval hMul 2 #[#[2, 3], #[0, 4]] -- #[#[4, 6], #[0, 8]]
# end Ex
```
You can use our new scalar array multiplication instance on arrays of type `Array β`
with a scalar of type `α` whenever you have an instance `HMul α β γ`.
In the last `#eval`, note that the instance was used twice on an array of arrays.
## Default instances
In the class `HMul`, the parameters `α` and `β` are treated as input values.
Thus, type class synthesis only starts after these two types are known. This may often
be too restrictive.
```lean
# namespace Ex
class HMul (α : Type u) (β : Type v) (γ : outParam (Type w)) where
hMul : α → β → γ
export HMul (hMul)
instance : HMul Int Int Int where
hMul := Int.mul
def xs : List Int := [1, 2, 3]
# -- TODO: fix error message
-- Error "failed to create type class instance for HMul Int ?m.1767 (?m.1797 x)"
-- #check fun y => xs.map (fun x => hMul x y)
# end Ex
```
The instance `HMul` is not synthesized by Lean because the type of `y` has not been provided.
However, it is natural to assume that the type of `y` and `x` should be the same in
this kind of situation. We can achieve exactly that using *default instances*.
```lean
# namespace Ex
class HMul (α : Type u) (β : Type v) (γ : outParam (Type w)) where
hMul : α → β → γ
export HMul (hMul)
@[default_instance]
instance : HMul Int Int Int where
hMul := Int.mul
def xs : List Int := [1, 2, 3]
#check fun y => xs.map (fun x => hMul x y) -- Int -> List Int
# end Ex
```
By tagging the instance above with the attribute `default_instance`, we are instructing Lean
to use this instance on pending type class synthesis problems.
The actual Lean implementation defines homogeneous and heterogeneous classes for arithmetical operators.
Moreover, `a+b`, `a*b`, `a-b`, `a/b`, and `a%b` are notations for the heterogeneous versions.
The instance `OfNat Nat n` is the default instance (with priority `100`) for the `OfNat` class. This is why the numeral
`2` has type `Nat` when the expected type is not known. You can define default instances with higher
priority to override the builtin ones.
```lean
structure Rational where
num : Int
den : Nat
inv : den ≠ 0
@[default_instance 200]
instance : OfNat Rational n where
ofNat := { num := n, den := 1, inv := by decide }
instance : ToString Rational where
toString r := s!"{r.num}/{r.den}"
#check 2 -- Rational
```
Priorities are also useful to control the interaction between different default instances.
For example, suppose `xs` has type `α`, when elaboration `xs.map (fun x => 2 * x)`, we want the homogeneous instance for multiplication
to have higher priority than the default instance for `OfNat`. This is particularly important when we have implemented only the instance
`HMul α α α`, and did not implement `HMul Nat α α`.
Now, we reveal how the notation `a*b` is defined in Lean.
```lean
# namespace Ex
class OfNat (α : Type u) (n : Nat) where
ofNat : α
@[default_instance]
instance (n : Nat) : OfNat Nat n where
ofNat := n
class HMul (α : Type u) (β : Type v) (γ : outParam (Type w)) where
hMul : α → β → γ
class Mul (α : Type u) where
mul : ααα
@[default_instance 10]
instance [Mul α] : HMul α α α where
hMul a b := Mul.mul a b
infixl:70 " * " => HMul.hMul
# end Ex
```
The `Mul` class is convenient for types that only implement the homogeneous multiplication.
## Scoped Instances
TODO
## Local Instances
TODO

1
doc/uint.md Normal file
View File

@@ -0,0 +1 @@
# Fixed precision unsigned integers

5
doc/unifhint.md Normal file
View File

@@ -0,0 +1,5 @@
# Unification Hints
TODO

120
flake.lock generated
View File

@@ -1,5 +1,21 @@
{
"nodes": {
"flake-compat": {
"flake": false,
"locked": {
"lastModified": 1673956053,
"narHash": "sha256-4gtG9iQuiKITOjNQQeQIpoIB6b16fm+504Ch3sNKLd8=",
"owner": "edolstra",
"repo": "flake-compat",
"rev": "35bb57c0c8d8b62bbfd284272c928ceb64ddbde9",
"type": "github"
},
"original": {
"owner": "edolstra",
"repo": "flake-compat",
"type": "github"
}
},
"flake-utils": {
"inputs": {
"systems": "systems"
@@ -18,35 +34,72 @@
"type": "github"
}
},
"nixpkgs": {
"lean4-mode": {
"flake": false,
"locked": {
"lastModified": 1710889954,
"narHash": "sha256-Pr6F5Pmd7JnNEMHHmspZ0qVqIBVxyZ13ik1pJtm2QXk=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "7872526e9c5332274ea5932a0c3270d6e4724f3b",
"lastModified": 1709737301,
"narHash": "sha256-uT9JN2kLNKJK9c/S/WxLjiHmwijq49EgLb+gJUSDpz0=",
"owner": "leanprover",
"repo": "lean4-mode",
"rev": "f1f24c15134dee3754b82c9d9924866fe6bc6b9f",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixpkgs-unstable",
"repo": "nixpkgs",
"owner": "leanprover",
"repo": "lean4-mode",
"type": "github"
}
},
"nixpkgs-cadical": {
"libgit2": {
"flake": false,
"locked": {
"lastModified": 1722221733,
"narHash": "sha256-sga9SrrPb+pQJxG1ttJfMPheZvDOxApFfwXCFO0H9xw=",
"lastModified": 1697646580,
"narHash": "sha256-oX4Z3S9WtJlwvj0uH9HlYcWv+x1hqp8mhXl7HsLu2f0=",
"owner": "libgit2",
"repo": "libgit2",
"rev": "45fd9ed7ae1a9b74b957ef4f337bc3c8b3df01b5",
"type": "github"
},
"original": {
"owner": "libgit2",
"repo": "libgit2",
"type": "github"
}
},
"nix": {
"inputs": {
"flake-compat": "flake-compat",
"libgit2": "libgit2",
"nixpkgs": "nixpkgs",
"nixpkgs-regression": "nixpkgs-regression"
},
"locked": {
"lastModified": 1711102798,
"narHash": "sha256-CXOIJr8byjolqG7eqCLa+Wfi7rah62VmLoqSXENaZnw=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "12bf09802d77264e441f48e25459c10c93eada2e",
"repo": "nix",
"rev": "a22328066416650471c3545b0b138669ea212ab4",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nix",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1709083642,
"narHash": "sha256-7kkJQd4rZ+vFrzWu8sTRtta5D1kBG0LSRYAfhtmMlSo=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "12bf09802d77264e441f48e25459c10c93eada2e",
"rev": "b550fe4b4776908ac2a861124307045f8e717c8e",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "release-23.11",
"repo": "nixpkgs",
"type": "github"
}
},
@@ -67,11 +120,44 @@
"type": "github"
}
},
"nixpkgs-regression": {
"locked": {
"lastModified": 1643052045,
"narHash": "sha256-uGJ0VXIhWKGXxkeNnq4TvV3CIOkUJ3PAoLZ3HMzNVMw=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
"type": "github"
}
},
"nixpkgs_2": {
"locked": {
"lastModified": 1710889954,
"narHash": "sha256-Pr6F5Pmd7JnNEMHHmspZ0qVqIBVxyZ13ik1pJtm2QXk=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "7872526e9c5332274ea5932a0c3270d6e4724f3b",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixpkgs-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"root": {
"inputs": {
"flake-utils": "flake-utils",
"nixpkgs": "nixpkgs",
"nixpkgs-cadical": "nixpkgs-cadical",
"lean4-mode": "lean4-mode",
"nix": "nix",
"nixpkgs": "nixpkgs_2",
"nixpkgs-old": "nixpkgs-old"
}
},

125
flake.nix
View File

@@ -1,77 +1,96 @@
{
description = "Lean development flake. Not intended for end users.";
description = "Lean interactive theorem prover";
inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixpkgs-unstable";
# old nixpkgs used for portable release with older glibc (2.27)
inputs.nixpkgs-old.url = "github:NixOS/nixpkgs/nixos-19.03";
inputs.nixpkgs-old.flake = false;
# for cadical 1.9.5; sync with CMakeLists.txt
inputs.nixpkgs-cadical.url = "github:NixOS/nixpkgs/12bf09802d77264e441f48e25459c10c93eada2e";
inputs.flake-utils.url = "github:numtide/flake-utils";
inputs.nix.url = "github:NixOS/nix";
inputs.lean4-mode = {
url = "github:leanprover/lean4-mode";
flake = false;
};
# used *only* by `stage0-from-input` below
#inputs.lean-stage0 = {
# url = github:leanprover/lean4;
# inputs.nixpkgs.follows = "nixpkgs";
# inputs.flake-utils.follows = "flake-utils";
# inputs.nix.follows = "nix";
# inputs.lean4-mode.follows = "lean4-mode";
#};
outputs = { self, nixpkgs, nixpkgs-old, flake-utils, ... }@inputs: flake-utils.lib.eachDefaultSystem (system:
outputs = { self, nixpkgs, nixpkgs-old, flake-utils, nix, lean4-mode, ... }@inputs: flake-utils.lib.eachDefaultSystem (system:
let
pkgs = import nixpkgs { inherit system; };
pkgs = import nixpkgs {
inherit system;
# for `vscode-with-extensions`
config.allowUnfree = true;
};
# An old nixpkgs for creating releases with an old glibc
pkgsDist-old = import nixpkgs-old { inherit system; };
# An old nixpkgs for creating releases with an old glibc
pkgsDist-old-aarch = import nixpkgs-old { localSystem.config = "aarch64-unknown-linux-gnu"; };
pkgsCadical = import inputs.nixpkgs-cadical { inherit system; };
cadical = if pkgs.stdenv.isLinux then
# use statically-linked cadical on Linux to avoid glibc versioning troubles
pkgsCadical.pkgsStatic.cadical.overrideAttrs { doCheck = false; }
else pkgsCadical.cadical;
lean-packages = pkgs.callPackage (./nix/packages.nix) { src = ./.; };
lean-packages = pkgs.callPackage (./nix/packages.nix) { src = ./.; inherit nix lean4-mode; };
devShellWithDist = pkgsDist: pkgs.mkShell.override {
stdenv = pkgs.overrideCC pkgs.stdenv lean-packages.llvmPackages.clang;
} ({
buildInputs = with pkgs; [
cmake gmp libuv ccache cadical pkg-config
lean-packages.llvmPackages.llvm # llvm-symbolizer for asan/lsan
gdb
tree # for CI
];
# https://github.com/NixOS/nixpkgs/issues/60919
hardeningDisable = [ "all" ];
# more convenient `ctest` output
CTEST_OUTPUT_ON_FAILURE = 1;
} // pkgs.lib.optionalAttrs pkgs.stdenv.isLinux {
GMP = (pkgsDist.gmp.override { withStatic = true; }).overrideAttrs (attrs:
pkgs.lib.optionalAttrs (pkgs.stdenv.system == "aarch64-linux") {
# would need additional linking setup on Linux aarch64, we don't use it anywhere else either
hardeningDisable = [ "stackprotector" ];
});
LIBUV = pkgsDist.libuv.overrideAttrs (attrs: {
configureFlags = ["--enable-static"];
hardeningDisable = [ "stackprotector" ];
# Sync version with CMakeLists.txt
version = "1.48.0";
src = pkgs.fetchFromGitHub {
owner = "libuv";
repo = "libuv";
rev = "v1.48.0";
sha256 = "100nj16fg8922qg4m2hdjh62zv4p32wyrllsvqr659hdhjc03bsk";
};
doCheck = false;
});
GLIBC = pkgsDist.glibc;
GLIBC_DEV = pkgsDist.glibc.dev;
GCC_LIB = pkgsDist.gcc.cc.lib;
ZLIB = pkgsDist.zlib;
GDB = pkgsDist.gdb;
});
stdenv = pkgs.overrideCC pkgs.stdenv lean-packages.llvmPackages.clang;
} ({
buildInputs = with pkgs; [
cmake gmp ccache
lean-packages.llvmPackages.llvm # llvm-symbolizer for asan/lsan
# TODO: only add when proven to not affect the flakification
#pkgs.python3
];
# https://github.com/NixOS/nixpkgs/issues/60919
hardeningDisable = [ "all" ];
# more convenient `ctest` output
CTEST_OUTPUT_ON_FAILURE = 1;
} // pkgs.lib.optionalAttrs pkgs.stdenv.isLinux {
GMP = pkgsDist.gmp.override { withStatic = true; };
GLIBC = pkgsDist.glibc;
GLIBC_DEV = pkgsDist.glibc.dev;
GCC_LIB = pkgsDist.gcc.cc.lib;
ZLIB = pkgsDist.zlib;
GDB = pkgsDist.gdb;
});
in {
packages = {
# to be removed when Nix CI is not needed anymore
inherit (lean-packages) cacheRoots test update-stage0-commit ciShell;
deprecated = lean-packages;
packages = lean-packages // rec {
debug = lean-packages.override { debug = true; };
stage0debug = lean-packages.override { stage0debug = true; };
asan = lean-packages.override { extraCMakeFlags = [ "-DLEAN_EXTRA_CXX_FLAGS=-fsanitize=address" "-DLEANC_EXTRA_FLAGS=-fsanitize=address" "-DSMALL_ALLOCATOR=OFF" "-DSYMBOLIC=OFF" ]; };
asandebug = asan.override { debug = true; };
tsan = lean-packages.override {
extraCMakeFlags = [ "-DLEAN_EXTRA_CXX_FLAGS=-fsanitize=thread" "-DLEANC_EXTRA_FLAGS=-fsanitize=thread" "-DCOMPRESSED_OBJECT_HEADER=OFF" ];
stage0 = (lean-packages.override {
# Compressed headers currently trigger data race reports in tsan.
# Turn them off for stage 0 as well so stage 1 can read its own stdlib.
extraCMakeFlags = [ "-DCOMPRESSED_OBJECT_HEADER=OFF" ];
}).stage1;
};
tsandebug = tsan.override { debug = true; };
stage0-from-input = lean-packages.override {
stage0 = pkgs.writeShellScriptBin "lean" ''
exec ${inputs.lean-stage0.packages.${system}.lean}/bin/lean -Dinterpreter.prefer_native=false "$@"
'';
};
inherit self;
};
defaultPackage = lean-packages.lean-all;
# The default development shell for working on lean itself
devShells.default = devShellWithDist pkgs;
devShells.oldGlibc = devShellWithDist pkgsDist-old;
devShells.oldGlibcAArch = devShellWithDist pkgsDist-old-aarch;
});
checks.lean = lean-packages.test;
}) // rec {
templates.pkg = {
path = ./nix/templates/pkg;
description = "A custom Lean package";
};
defaultTemplate = templates.pkg;
};
}

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