diff --git a/.gitignore b/.gitignore index 670b156..55d22e5 100644 --- a/.gitignore +++ b/.gitignore @@ -8,6 +8,3 @@ # Output /dist /venv - -pantograph/pantograph -pantograph/lean-toolchain diff --git a/README.md b/README.md index 5d02305..3848eba 100644 --- a/README.md +++ b/README.md @@ -22,3 +22,17 @@ python -m pantograph.server ``` The tests in `pantograph/server.py` also serve as simple interaction examples +## Examples + +See `examples/README.md` + +## Referencing + +```bib +@misc{pantograph, + title = "Pantograph, A Machine-to-Machine Interface for Lean 4", + author = {Aniva, Leni and Miranda, Brando and Sun, Chuyue}, + year = 2024, + howpublished = {\url{https://github.com/lenianiva/PyPantograph}} +} +``` diff --git a/build.py b/build.py index 959c1ad..b116e42 100644 --- a/build.py +++ b/build.py @@ -6,10 +6,10 @@ from pathlib import Path PATH_PANTOGRAPH = Path("./src") PATH_PY = Path("./pantograph") -with subprocess.Popen(["make"], cwd=PATH_PANTOGRAPH) as p: +with subprocess.Popen(["lake", "build", "repl"], cwd=PATH_PANTOGRAPH) as p: p.wait() -path_executable = PATH_PY / "pantograph" -shutil.copyfile(PATH_PANTOGRAPH / ".lake/build/bin/pantograph", path_executable) +path_executable = PATH_PY / "pantograph-repl" +shutil.copyfile(PATH_PANTOGRAPH / ".lake/build/bin/repl", path_executable) os.chmod(path_executable, os.stat(path_executable).st_mode | stat.S_IEXEC) shutil.copyfile(PATH_PANTOGRAPH / "lean-toolchain", PATH_PY / "lean-toolchain") diff --git a/examples/Example/Example.lean b/examples/Example/Example.lean index 40cb3dc..9812c92 100644 --- a/examples/Example/Example.lean +++ b/examples/Example/Example.lean @@ -1,11 +1,12 @@ import Aesop --- Ensure that Aesop is running +/-- Ensure that Aesop is running -/ example : α → α := by aesop example : ∀ (p q: Prop), p ∨ q → q ∨ p := by intro p q h + -- Here are some comments cases h . apply Or.inr assumption diff --git a/examples/Example/lake-manifest.json b/examples/Example/lake-manifest.json index 06e1c0e..2199727 100644 --- a/examples/Example/lake-manifest.json +++ b/examples/Example/lake-manifest.json @@ -1,11 +1,12 @@ -{"version": 7, +{"version": "1.1.0", "packagesDir": ".lake/packages", "packages": - [{"url": "https://github.com/leanprover/std4", + [{"url": "https://github.com/leanprover-community/batteries", "type": "git", "subDir": null, - "rev": "3025cb124492b423070f20cf0a70636f757d117f", - "name": "std", + "scope": "", + "rev": "2ead90d24b4fac3a05c9c4294daa39bd8686fb98", + "name": "batteries", "manifestFile": "lake-manifest.json", "inputRev": "main", "inherited": true, @@ -13,11 +14,12 @@ {"url": "https://github.com/leanprover-community/aesop.git", "type": "git", "subDir": null, - "rev": "0a21a48c286c4a4703c0be6ad2045f601f31b1d0", + "scope": "", + "rev": "a64fe24aa94e21404940e9217363a9a1ed9a33a6", "name": "aesop", "manifestFile": "lake-manifest.json", - "inputRev": "v4.8.0-rc1", + "inputRev": "v4.10.0-rc1", "inherited": false, - "configFile": "lakefile.lean"}], + "configFile": "lakefile.toml"}], "name": "Example", "lakeDir": ".lake"} diff --git a/examples/Example/lakefile.lean b/examples/Example/lakefile.lean index 52623f0..8759d91 100644 --- a/examples/Example/lakefile.lean +++ b/examples/Example/lakefile.lean @@ -2,7 +2,7 @@ import Lake open Lake DSL require aesop from git - "https://github.com/leanprover-community/aesop.git" @ "v4.8.0-rc1" + "https://github.com/leanprover-community/aesop.git" @ "v4.10.0-rc1" package Example diff --git a/examples/Example/lean-toolchain b/examples/Example/lean-toolchain index d8a6d7e..d69d1ed 100644 --- a/examples/Example/lean-toolchain +++ b/examples/Example/lean-toolchain @@ -1 +1 @@ -leanprover/lean4:v4.8.0-rc1 +leanprover/lean4:v4.10.0-rc1 diff --git a/examples/README.md b/examples/README.md index 8ccd495..41e702e 100644 --- a/examples/README.md +++ b/examples/README.md @@ -1,4 +1,11 @@ -# Usage Example +# Examples + +For a quick introduction of the API, fire up Jupyter and open `all.ipynb`. (Did +you remember to `poetry install`?) + +``` sh +poetry run jupyter notebook +``` This example showcases how to bind library dependencies and execute the `Aesop` tactic in Lean. First build the example project: @@ -7,9 +14,15 @@ pushd Example lake build popd ``` -This would generate compiled `.olean` files. Then run the example from the +This would generate compiled `.olean` files. Then run one of the examples from the project root: ``` sh poetry run examples/aesop.py +poetry run examples/data.py ``` +Warning: If you make modifications to any Lean files, you must re-run `lake +build`! Moreover, the version of the Lean used in the example folder (including +dependencies in `lakefile.lean` and `lean-toolchain`) **must match exactly** +with the version in `src/`! + diff --git a/examples/all.ipynb b/examples/all.ipynb new file mode 100644 index 0000000..21e668e --- /dev/null +++ b/examples/all.ipynb @@ -0,0 +1,453 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a1078f98-fcaf-4cda-8ad4-3cbab44f114b", + "metadata": {}, + "source": [ + "# Pantograph Example\n", + "\n", + "The only interface for interacting with Pantograph is the `Server` class. It can be used either standalone (with no Lean project specified) or in a Lean project in order to access the project's symbols (e.g. Mathlib).\n", + "\n", + "The server's `imports` argument must be specified as a list of Lean modules to import. With no import statements, there are no symbols available and no useful work can be done. By default, `imports` is `[\"Init\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "101f4591-ec31-4000-96a6-ac3fc3dd0fa2", + "metadata": {}, + "outputs": [], + "source": [ + "from pantograph import Server\n", + "\n", + "server = Server()" + ] + }, + { + "cell_type": "markdown", + "id": "1fbdb837-740e-44ef-a7e9-c40f79584639", + "metadata": {}, + "source": [ + "We can initialize a proof by providing the target statement." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4affc375-360b-40cf-8d22-4fdcc12dba0d", + "metadata": {}, + "outputs": [], + "source": [ + "state0 = server.goal_start(\"forall (p : Prop), p -> p\")" + ] + }, + { + "cell_type": "markdown", + "id": "deb7994a-273f-4b52-be2d-e1086d4c1d55", + "metadata": {}, + "source": [ + "This invocation creates a *goal state*, which consists of a finite number of goals. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "29f7ae15-7f69-4740-a6fa-71fbb1ccabd8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GoalState(state_id=0, goals=[Goal(variables=[], target='forall (p : Prop), p -> p', name=None, is_conversion=False)], _sentinel=[])" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "state0" + ] + }, + { + "cell_type": "markdown", + "id": "274f50da-85c1-445e-bf9f-cb716f66e36f", + "metadata": {}, + "source": [ + "Execute tactics on the goal state via `Server.goal_tactic`:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bfbd5512-fcb0-428d-8131-4da4005e743c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GoalState(state_id=1, goals=[Goal(variables=[Variable(t='Prop', v=None, name='p✝')], target='p✝ → p✝', name=None, is_conversion=False)], _sentinel=[])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "state1 = server.goal_tactic(state0, goal_id=0, tactic=\"intro\")\n", + "state1" + ] + }, + { + "cell_type": "markdown", + "id": "1c1c5ab4-5518-40b0-8a2f-50e095a3702a", + "metadata": {}, + "source": [ + "Recover the usual string form of a goal by the `str` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2d18d6dc-7936-4bb6-b47d-f781dd8ddacd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'p✝ : Prop\\n⊢ p✝ → p✝'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "str(state1.goals[0])" + ] + }, + { + "cell_type": "markdown", + "id": "fc560b88-0222-4e40-bff9-37ab70af075e", + "metadata": {}, + "source": [ + "When a tactic fails, it throws an exception:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a0fdd3b3-9b38-4602-84a3-89065822f6e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\"tactic 'assumption' failed\\np✝ : Prop\\n⊢ p✝ → p✝\"]\n" + ] + } + ], + "source": [ + "try:\n", + " state2 = server.goal_tactic(state1, goal_id=0, tactic=\"assumption\")\n", + " print(\"Should not reach this\")\n", + "except Exception as e:\n", + " print(e)" + ] + }, + { + "cell_type": "markdown", + "id": "c801bbb4-9248-4f75-945b-1dd665bb08d1", + "metadata": {}, + "source": [ + "A state with no goals is considered solved" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9d18045a-9734-415c-8f40-7aadb6cb18f4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GoalState(state_id=3, goals=[], _sentinel=[])" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "state2 = server.goal_tactic(state1, goal_id=0, tactic=\"intro h\")\n", + "state3 = server.goal_tactic(state2, goal_id=0, tactic=\"exact h\")\n", + "state3" + ] + }, + { + "cell_type": "markdown", + "id": "aa5a2800-cae3-48df-b746-d19a8d84eaf5", + "metadata": {}, + "source": [ + "Execute `Server.gc()` to clean up unused goals once in a while" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ee98de99-3cfc-4449-8d62-00e8eaee03db", + "metadata": {}, + "outputs": [], + "source": [ + "server.gc()" + ] + }, + { + "cell_type": "markdown", + "id": "78cfb9ac-c5ec-4901-97a5-4d19e6b8ecbb", + "metadata": {}, + "source": [ + "## Loading Projects\n", + "\n", + "Pantograph would not be useful if it could not load symbols from other projects. In `examples/Example` is a standard Lean 4 project, with its toolchain version precisely equal to the toolchain version of Pantograph. Executing `lake new PROJECT_NAME` or `lake init` in an empty folder initializes a project according to this specification. To use a project in Pantograph, compile the project by running `lake build` in its root directory. This sets up output folders and builds the binary Lean files.\n", + "\n", + "Load the example project by providing `project_path` and `lean_path` to `Server`:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ecf5d9d3-e53e-4f67-969e-d38e3d97c65e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "$PWD: /home/aniva/Projects/atp/PyPantograph/examples/Example\n", + "$LEAN_PATH: b'././.lake/packages/batteries/.lake/build/lib:././.lake/packages/aesop/.lake/build/lib:././.lake/build/lib:/home/aniva/.elan/toolchains/leanprover--lean4---v4.10.0-rc1/lib/lean\\n'\n" + ] + } + ], + "source": [ + "import subprocess, os\n", + "from pathlib import Path\n", + "def get_project_and_lean_path():\n", + " cwd = Path(os.getcwd()).resolve() / 'Example'\n", + " p = subprocess.check_output(['lake', 'env', 'printenv', 'LEAN_PATH'], cwd=cwd)\n", + " return cwd, p\n", + "project_path, lean_path = get_project_and_lean_path()\n", + "print(f\"$PWD: {project_path}\")\n", + "print(f\"$LEAN_PATH: {lean_path}\")\n", + "server = Server(imports=['Example'], project_path=project_path, lean_path=lean_path)" + ] + }, + { + "cell_type": "markdown", + "id": "67123741-3d23-4077-98ab-91110b4e39f1", + "metadata": {}, + "source": [ + "With the project loaded, all dependencies of the project, be it Mathlib or Aesop, are now available." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bf485778-baa9-4c1c-80fa-960f9cf9bc8a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "state0 = server.goal_start(\"forall (p q: Prop), Or p q -> Or q p\")\n", + "state1 = server.goal_tactic(state0, goal_id=0, tactic=\"aesop\")\n", + "state1.is_solved" + ] + }, + { + "cell_type": "markdown", + "id": "8c3f9d90-bacc-4cba-95a4-23cc31a58a4f", + "metadata": {}, + "source": [ + "## Reading Symbols\n", + "\n", + "Pantograph can also query proof states from a project by directly calling into Lean's compiler internals. Run the Lean compiler on a Lean file via `Server.tactic_invocations`. Feeding in the absolute path is preferred." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8ff6007b-50df-4449-9a86-6d3eb0bc0caa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "==== #0 ====\n", + "/-- Ensure that Aesop is running -/\n", + "example : α → α :=\n", + " by aesop\n", + "\n", + "\n", + "==== #1 ====\n", + "example : ∀ (p q: Prop), p ∨ q → q ∨ p := by\n", + " intro p q h\n", + " -- Here are some comments\n", + " cases h\n", + " . apply Or.inr\n", + " assumption\n", + " . apply Or.inl\n", + " assumption\n", + "\n", + "==== Invocations ====\n", + "α : Sort ?u.7\n", + "⊢ α → α\n", + "aesop\n", + "\n", + "\n", + "⊢ ∀ (p q : Prop), p ∨ q → q ∨ p\n", + "intro p q h\n", + "p q : Prop\n", + "h : p ∨ q\n", + "⊢ q ∨ p\n", + "\n", + "p q : Prop\n", + "h : p ∨ q\n", + "⊢ q ∨ p\n", + "cases h\n", + "case inl\n", + "p q : Prop\n", + "h✝ : p\n", + "⊢ q ∨ p\n", + "case inr p q : Prop h✝ : q ⊢ q ∨ p\n", + "\n", + "case inl\n", + "p q : Prop\n", + "h✝ : p\n", + "⊢ q ∨ p\n", + "apply Or.inr\n", + "case inl.h\n", + "p q : Prop\n", + "h✝ : p\n", + "⊢ p\n", + "\n", + "case inl.h\n", + "p q : Prop\n", + "h✝ : p\n", + "⊢ p\n", + "assumption\n", + "\n", + "\n", + "case inr\n", + "p q : Prop\n", + "h✝ : q\n", + "⊢ q ∨ p\n", + "apply Or.inl\n", + "case inr.h\n", + "p q : Prop\n", + "h✝ : q\n", + "⊢ q\n", + "\n", + "case inr.h\n", + "p q : Prop\n", + "h✝ : q\n", + "⊢ q\n", + "assumption\n", + "\n", + "\n" + ] + } + ], + "source": [ + "units, invocations = server.tactic_invocations(project_path / \"Example.lean\")\n", + "for i, u in enumerate(units):\n", + " print(f\"==== #{i} ====\")\n", + " print(u)\n", + "print(\"==== Invocations ====\")\n", + "for i in invocations:\n", + " print(f\"{i.before}\\n{i.tactic}\\n{i.after}\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "8762b719-d13b-4714-84ff-48c44b18f364", + "metadata": {}, + "source": [ + "### Loading a theorem for the agent to prove\n", + "\n", + "For this to work, write `sorry` in the place where you would like your agent to do work, for example\n", + "```lean\n", + "example : (p q: Prop): Or p q -> Or q p := sorry\n", + "```\n", + "Then use the `Server.load_sorry`. As long as you only have one statement in `command`, it will give you exactly one goal state. A command with no `sorry`s results in no goal states.\n", + "\n", + "Note: Since a syntactically incorrect command will not generate `sorry`s, they will be sliently ignored by the frontend. Check if this is the case if the function returns no goals." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3c515d2b-6910-499e-953b-bc69dc0e0a57", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GoalState(state_id=2, goals=[Goal(variables=[Variable(t='Prop', v=None, name='p'), Variable(t='Prop', v=None, name='q')], target='p ∨ q → q ∨ p', name=None, is_conversion=False)], _sentinel=[0])\n" + ] + } + ], + "source": [ + "state0, = server.load_sorry(\"example (p q: Prop): Or p q -> Or q p := sorry\")\n", + "print(state0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50b90547-fcbf-419f-866e-a6ebcc925c5f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/compile-tactics.py b/examples/data.py similarity index 65% rename from examples/compile-tactics.py rename to examples/data.py index d4845da..f1d8978 100755 --- a/examples/compile-tactics.py +++ b/examples/data.py @@ -14,6 +14,10 @@ if __name__ == '__main__': print(f"$PWD: {project_path}") print(f"$LEAN_PATH: {lean_path}") server = Server(imports=['Example'], project_path=project_path, lean_path=lean_path) - data = server.compile_tactics("Example") - for (before, tactic, after) in data: - print(f"{before}\n{tactic}\n{after}\n\n") + units, invocations = server.tactic_invocations(project_path / "Example.lean") + for i, u in enumerate(units): + print(f"==== #{i} ====") + print(u) + print("==== Invocations ====") + for i in invocations: + print(f"{i.before}\n{i.tactic}\n{i.after}\n") diff --git a/pantograph/.gitignore b/pantograph/.gitignore new file mode 100644 index 0000000..06b89c3 --- /dev/null +++ b/pantograph/.gitignore @@ -0,0 +1,2 @@ +pantograph-repl +lean-toolchain diff --git a/pantograph/__init__.py b/pantograph/__init__.py index e69de29..78c1e35 100644 --- a/pantograph/__init__.py +++ b/pantograph/__init__.py @@ -0,0 +1 @@ +from pantograph.server import Server diff --git a/pantograph/compiler.py b/pantograph/compiler.py new file mode 100644 index 0000000..f2f01bc --- /dev/null +++ b/pantograph/compiler.py @@ -0,0 +1,13 @@ +from dataclasses import dataclass + +@dataclass(frozen=True) +class TacticInvocation: + before: str + after: str + tactic: str + + @staticmethod + def parse(payload: dict): + return TacticInvocation(before=payload["goalBefore"], + after=payload["goalAfter"], + tactic=payload["tactic"]) diff --git a/pantograph/expr.py b/pantograph/expr.py index 4e904c9..895e56a 100644 --- a/pantograph/expr.py +++ b/pantograph/expr.py @@ -78,11 +78,13 @@ class GoalState: return not self.goals @staticmethod - def parse(payload: dict, _sentinel: list[int]): - state_id = payload["nextStateId"] - goal_names = { g["name"]: i for i,g in enumerate(payload["goals"]) } - goals = [Goal.parse(g, goal_names) for g in payload["goals"]] + def parse_inner(state_id: int, goals: list, _sentinel: list[int]): + goal_names = { g["name"]: i for i, g in enumerate(goals) } + goals = [Goal.parse(g, goal_names) for g in goals] return GoalState(state_id, goals, _sentinel) + @staticmethod + def parse(payload: dict, _sentinel: list[int]): + return GoalState.parse_inner(payload["nextStateId"], payload["goals"], _sentinel) def __str__(self): return "\n".join([str(g) for g in self.goals]) diff --git a/pantograph/server.py b/pantograph/server.py index 2952fe8..9479348 100644 --- a/pantograph/server.py +++ b/pantograph/server.py @@ -2,14 +2,17 @@ Class which manages a Pantograph instance. All calls to the kernel uses this interface. """ -import json, pexpect, pathlib, unittest, os +import json, pexpect, unittest, os +from typing import Union +from pathlib import Path from pantograph.expr import parse_expr, Expr, Variable, Goal, GoalState, \ Tactic, TacticHave, TacticCalc +from pantograph.compiler import TacticInvocation def _get_proc_cwd(): - return pathlib.Path(__file__).parent + return Path(__file__).parent def _get_proc_path(): - return _get_proc_cwd() / "pantograph" + return _get_proc_cwd() / "pantograph-repl" class TacticFailure(Exception): pass @@ -22,7 +25,10 @@ class Server: imports=["Init"], project_path=None, lean_path=None, - options=[], + # Options for executing the REPL. + # Set `{ "automaticMode" : False }` to handle resumption by yourself. + options={}, + core_options=[], timeout=20, maxread=1000000): """ @@ -37,7 +43,8 @@ class Server: self.proc_path = _get_proc_path() self.options = options - self.args = " ".join(imports + [f'--{opt}' for opt in options]) + self.core_options = core_options + self.args = " ".join(imports + [f'--{opt}' for opt in core_options]) self.proc = None self.restart() @@ -55,10 +62,16 @@ class Server: f"{self.proc_path} {self.args}", encoding="utf-8", maxread=self.maxread, + timeout=self.timeout, cwd=self.project_path, env=env, ) - self.proc.setecho(False) + self.proc.setecho(False) # Do not send any command before this. + ready = self.proc.readline() # Reads the "ready." + assert ready == "ready.\r\n", f"Server failed to emit ready signal: {ready}; Maybe the project needs to be rebuilt" + + if self.options: + self.run("options.set", self.options) self.run('options.set', {'printDependentMVars': True}) @@ -69,9 +82,8 @@ class Server: s = json.dumps(payload) self.proc.sendline(f"{cmd} {s}") try: - self.proc.expect("{.*}\r\n", timeout=self.timeout) - output = self.proc.match.group() - return json.loads(output) + line = self.proc.readline() + return json.loads(line) except pexpect.exceptions.TIMEOUT as exc: raise exc @@ -141,12 +153,38 @@ class Server: raise ServerError(result["parseError"]) return GoalState.parse(result, self.to_remove_goal_states) - - def compile_tactics(self, module: str) -> list[tuple[str, str, str]]: - result = self.run('compile.tactics', {'module': module}) + def tactic_invocations(self, file_name: Union[str, Path]) -> tuple[list[str], list[TacticInvocation]]: + """ + Collect tactic invocation points in file, and return them. + """ + result = self.run('frontend.process', { + 'fileName': str(file_name), + 'invocations': True, + "sorrys": False, + }) if "error" in result: raise ServerError(result["desc"]) - return [(i['goalBefore'], i['tactic'], i['goalAfter']) for i in result['invocations']] + + with open(file_name, 'rb') as f: + content = f.read() + units = [content[begin:end].decode('utf-8') for begin,end in result['units']] + + invocations = [TacticInvocation.parse(i) for i in result['invocations']] + return units, invocations + + def load_sorry(self, command: str) -> list[GoalState]: + result = self.run('frontend.process', { + 'file': command, + 'invocations': False, + "sorrys": True, + }) + if "error" in result: + raise ServerError(result["desc"]) + states = [ + GoalState.parse_inner(state_id, goals, self.to_remove_goal_states) + for (state_id, goals) in result['goalStates'] + ] + return states @@ -161,7 +199,7 @@ def get_version(): class TestServer(unittest.TestCase): def test_version(self): - self.assertEqual(get_version(), "0.2.15") + self.assertEqual(get_version(), "0.2.19") def test_expr_type(self): server = Server() @@ -193,8 +231,60 @@ class TestServer(unittest.TestCase): server.gc() self.assertEqual(len(server.to_remove_goal_states), 0) - def test_conv_calc(self): + def test_automatic_mode(self): server = Server() + state0 = server.goal_start("forall (p q: Prop), Or p q -> Or q p") + self.assertEqual(len(server.to_remove_goal_states), 0) + self.assertEqual(state0.state_id, 0) + state1 = server.goal_tactic(state0, goal_id=0, tactic="intro a b h") + self.assertEqual(state1.state_id, 1) + self.assertEqual(state1.goals, [Goal( + variables=[ + Variable(name="a", t="Prop"), + Variable(name="b", t="Prop"), + Variable(name="h", t="a ∨ b"), + ], + target="b ∨ a", + name=None, + )]) + state2 = server.goal_tactic(state1, goal_id=0, tactic="cases h") + self.assertEqual(state2.goals, [ + Goal( + variables=[ + Variable(name="a", t="Prop"), + Variable(name="b", t="Prop"), + Variable(name="h✝", t="a"), + ], + target="b ∨ a", + name="inl", + ), + Goal( + variables=[ + Variable(name="a", t="Prop"), + Variable(name="b", t="Prop"), + Variable(name="h✝", t="b"), + ], + target="b ∨ a", + name="inr", + ), + ]) + state3 = server.goal_tactic(state2, goal_id=1, tactic="apply Or.inl") + state4 = server.goal_tactic(state3, goal_id=0, tactic="assumption") + self.assertEqual(state4.goals, [ + Goal( + variables=[ + Variable(name="a", t="Prop"), + Variable(name="b", t="Prop"), + Variable(name="h✝", t="a"), + ], + target="b ∨ a", + name="inl", + ) + ]) + + + def test_conv_calc(self): + server = Server(options={"automaticMode": False}) state0 = server.goal_start("∀ (a b: Nat), (b = 2) -> 1 + a + 1 = a + b") variables = [ @@ -226,6 +316,19 @@ class TestServer(unittest.TestCase): state4 = server.goal_tactic(state3, goal_id=0, tactic="rw [Nat.add_assoc]") self.assertTrue(state4.is_solved) + def test_load_sorry(self): + server = Server() + state0, = server.load_sorry("example (p: Prop): p → p := sorry") + self.assertEqual(state0.goals, [ + Goal( + [Variable(name="p", t="Prop")], + target="p → p", + ), + ]) + state1 = server.goal_tactic(state0, goal_id=0, tactic="intro h") + state2 = server.goal_tactic(state1, goal_id=0, tactic="exact h") + self.assertTrue(state2.is_solved) + if __name__ == '__main__': unittest.main() diff --git a/poetry.lock b/poetry.lock index d880870..da429f2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -33,17 +33,287 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin test = ["anyio[trio]", 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