From 396911043a723cb36e81f7abd85f59c04c83e376 Mon Sep 17 00:00:00 2001 From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com> Date: Mon, 24 Oct 2022 15:32:42 +0100 Subject: [PATCH 1/2] Various fixes for the `check_shapes` benchmarks. (#33) * Fixed bug where code actually was run with `check_shapes` which shouldn't have been. * Removed `check_shapes` imports in the `without` code. * Store the `with` and `without` temporary files at separate paths. * Refactored some statistics code into a separate module. * Print estimated overhead when running `run_benchmark`. * Added plot of absolute overhead. --- .github/workflows/benchmark.yml | 16 +++--- benchmark/README.md | 18 +++---- benchmark/plot_benchmarks.py | 96 +++++++++++++-------------------- benchmark/run_benchmark.py | 18 +++++-- benchmark/stats.py | 69 ++++++++++++++++++++++++ pylintrc | 1 + 6 files changed, 137 insertions(+), 81 deletions(-) create mode 100644 benchmark/stats.py diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index f5c974bf..8e357968 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -8,7 +8,7 @@ on: env: penv: './poetryenv poetryenvs' - run: 'run python benchmark' + run: 'run python -m benchmark' bex: 'benchmark/examples' res: 'gh-pages/benchmark_results' plots: 'gh-pages/docs/benchmark_plots/' @@ -35,15 +35,15 @@ jobs: ${penv}/torch_max install - name: Run benchmarks run: | - ${penv}/np_max ${run}/run_benchmark.py ${bex}/np_example.py ${res} - ${penv}/tf_max ${run}/run_benchmark.py ${bex}/tf_example.py ${res} - ${penv}/tf_max ${run}/run_benchmark.py ${bex}/tf_example.py --modifiers=no_compile ${res} - ${penv}/jax_max ${run}/run_benchmark.py ${bex}/jax_example.py ${res} - ${penv}/jax_max ${run}/run_benchmark.py ${bex}/jax_example.py --modifiers=no_jit ${res} - ${penv}/torch_max ${run}/run_benchmark.py ${bex}/torch_example.py ${res} + ${penv}/np_max ${run}.run_benchmark ${bex}/np_example.py ${res} + ${penv}/tf_max ${run}.run_benchmark ${bex}/tf_example.py ${res} + ${penv}/tf_max ${run}.run_benchmark ${bex}/tf_example.py --modifiers=no_compile ${res} + ${penv}/jax_max ${run}.run_benchmark ${bex}/jax_example.py ${res} + ${penv}/jax_max ${run}.run_benchmark ${bex}/jax_example.py --modifiers=no_jit ${res} + ${penv}/torch_max ${run}.run_benchmark ${bex}/torch_example.py ${res} - name: Plot benchmarks run: | - ${penv}/np_max ${run}/plot_benchmarks.py ${res} + ${penv}/np_max ${run}.plot_benchmarks ${res} mkdir -p ${plots} mv ${res}/overhead.png ${plots} - name: Commit new benchmark results diff --git a/benchmark/README.md b/benchmark/README.md index 5b115914..821d9ba9 100644 --- a/benchmark/README.md +++ b/benchmark/README.md @@ -9,7 +9,7 @@ Most recent results are shown in our To run a benchmark use: ```bash -python benchmark/run_benchmark.py \ +python -m benchmark.run_benchmark \ \ [--modifiers=] \ @@ -18,7 +18,7 @@ python benchmark/run_benchmark.py \ Then plot the results with: ```bash -python benchmark/plot_benchmarks.py +python -m benchmark.plot_benchmarks ``` The plotter will plot all results found in the output directory, so your can run `run_benchmark.py` @@ -30,13 +30,13 @@ poetry install ./poetryenv -r poetryenvs install # Run all benchmarks: -./poetryenv poetryenvs/np_max run python benchmark/run_benchmark.py benchmark/examples/np_example.py benchmark_results -./poetryenv poetryenvs/tf_max run python benchmark/run_benchmark.py benchmark/examples/tf_example.py benchmark_results -./poetryenv poetryenvs/tf_max run python benchmark/run_benchmark.py benchmark/examples/tf_example.py --modifiers=no_compile benchmark_results -./poetryenv poetryenvs/jax_max run python benchmark/run_benchmark.py benchmark/examples/jax_example.py benchmark_results -./poetryenv poetryenvs/jax_max run python benchmark/run_benchmark.py benchmark/examples/jax_example.py --modifiers=no_jit benchmark_results -./poetryenv poetryenvs/torch_max run python benchmark/run_benchmark.py benchmark/examples/torch_example.py benchmark_results +./poetryenv poetryenvs/np_max run python -m benchmark.run_benchmark benchmark/examples/np_example.py benchmark_results +./poetryenv poetryenvs/tf_max run python -m benchmark.run_benchmark benchmark/examples/tf_example.py benchmark_results +./poetryenv poetryenvs/tf_max run python -m benchmark.run_benchmark benchmark/examples/tf_example.py --modifiers=no_compile benchmark_results +./poetryenv poetryenvs/jax_max run python -m benchmark.run_benchmark benchmark/examples/jax_example.py benchmark_results +./poetryenv poetryenvs/jax_max run python -m benchmark.run_benchmark benchmark/examples/jax_example.py --modifiers=no_jit benchmark_results +./poetryenv poetryenvs/torch_max run python -m benchmark.run_benchmark benchmark/examples/torch_example.py benchmark_results # Plot results: -poetry run python benchmark/plot_benchmarks.py benchmark_results +poetry run python -m benchmark.plot_benchmarks benchmark_results ``` \ No newline at end of file diff --git a/benchmark/plot_benchmarks.py b/benchmark/plot_benchmarks.py index c5e8ac25..a779ade9 100644 --- a/benchmark/plot_benchmarks.py +++ b/benchmark/plot_benchmarks.py @@ -13,17 +13,23 @@ # limitations under the License. import argparse from pathlib import Path +from typing import Any, Optional import matplotlib.pyplot as plt import numpy as np import pandas as pd +from matplotlib.axes import Axes + +from .stats import Stats + +NDArray = Any def plot(output_dir: Path) -> None: result_dfs = [pd.read_csv(f) for f in output_dir.glob("results_*.csv")] results_df = pd.concat(result_dfs, axis="index", ignore_index=True) - n_columns = 2 + n_columns = 3 n_rows = len(results_df.name.unique()) width = 6 * n_columns height = 4 * n_rows @@ -37,74 +43,46 @@ def plot(output_dir: Path) -> None: for i, (ax_name, ax_df) in enumerate(results_df.groupby("name")): line_xs = [] - line_y_with_means = [] - line_y_with_uppers = [] - line_y_with_lowers = [] - line_y_without_means = [] - line_y_without_uppers = [] - line_y_without_lowers = [] - line_y_overhead_means = [] - line_y_overhead_uppers = [] - line_y_overhead_lowers = [] + line_ys = [] for timestamp, timestamp_df in ax_df.groupby("timestamp"): - by_cs = timestamp_df.groupby("check_shapes") - mean_by_cs = by_cs.time_s.mean() - std_by_cs = by_cs.time_s.std().fillna(0.0) - var_by_cs = by_cs.time_s.var().fillna(0.0) - - with_mean = mean_by_cs[True] - with_mean_sq = with_mean ** 2 - with_std = std_by_cs[True] - with_var = var_by_cs[True] - without_mean = mean_by_cs[False] - without_mean_sq = without_mean ** 2 - without_std = std_by_cs[False] - without_var = var_by_cs[False] - - overhead_mean = (with_mean / without_mean) - 1 - # https://en.wikipedia.org/wiki/Ratio_distribution#Uncorrelated_noncentral_normal_ratio - overhead_var = (with_mean_sq / without_mean_sq) * ( - (with_var / with_mean_sq) + (without_var / without_mean_sq) - ) - overhead_std = np.sqrt(overhead_var) - line_xs.append(timestamp) - line_y_with_means.append(with_mean) - line_y_with_uppers.append(with_mean + 1.96 * with_std) - line_y_with_lowers.append(with_mean - 1.96 * with_std) - line_y_without_means.append(without_mean) - line_y_without_uppers.append(without_mean + 1.96 * without_std) - line_y_without_lowers.append(without_mean - 1.96 * without_std) - line_y_overhead_means.append(100 * overhead_mean) - line_y_overhead_uppers.append(100 * (overhead_mean + 1.96 * overhead_std)) - line_y_overhead_lowers.append(100 * (overhead_mean - 1.96 * overhead_std)) + line_ys.append(Stats.new(timestamp_df)) + + def plot_mean_and_std( + ax: Axes, prefix: str, *, label: Optional[str] = None, scale: float = 1.0 + ) -> None: + mean_name = f"{prefix}_mean" + std_name = f"{prefix}_std" + + # pylint: disable=cell-var-from-loop + mean: NDArray = np.array([getattr(y, mean_name) for y in line_ys]) * scale + std: NDArray = np.array([getattr(y, std_name) for y in line_ys]) * scale + lower: NDArray = mean - 1.96 * std + upper: NDArray = mean + 1.96 * std + + (mean_line,) = ax.plot(line_xs, mean, label=label) + color = mean_line.get_color() + ax.fill_between(line_xs, lower, upper, color=color, alpha=0.3) + + ax.set_title(ax_name) + ax.tick_params(axis="x", labelrotation=30) + if np.min(lower) > 0: + ax.set_ylim(bottom=0.0) ax = axes[i][0] - (mean_line,) = ax.plot(line_xs, line_y_with_means, label="with check_shapes") - color = mean_line.get_color() - ax.fill_between(line_xs, line_y_with_lowers, line_y_with_uppers, color=color, alpha=0.3) - (mean_line,) = ax.plot(line_xs, line_y_without_means, label="without check_shapes") - color = mean_line.get_color() - ax.fill_between( - line_xs, line_y_without_lowers, line_y_without_uppers, color=color, alpha=0.3 - ) - ax.set_title(ax_name) + plot_mean_and_std(ax, "with", label="with check_shapes") + plot_mean_and_std(ax, "without", label="without check_shapes") ax.set_ylabel("time / s") - ax.tick_params(axis="x", labelrotation=30) ax.legend() ax = axes[i][1] - (mean_line,) = ax.plot(line_xs, line_y_overhead_means) - color = mean_line.get_color() - ax.fill_between( - line_xs, line_y_overhead_lowers, line_y_overhead_uppers, color=color, alpha=0.3 - ) - ax.set_title(ax_name) + plot_mean_and_std(ax, "abs_overhead") + ax.set_ylabel("overhead / s") + + ax = axes[i][2] + plot_mean_and_std(ax, "rel_overhead", scale=100.0) ax.set_ylabel("% overhead") - if np.min(line_y_overhead_lowers) >= 0: - ax.set_ylim(bottom=0.0) - ax.tick_params(axis="x", labelrotation=30) fig.tight_layout() fig.savefig(output_dir / "overhead.png") diff --git a/benchmark/run_benchmark.py b/benchmark/run_benchmark.py index 65b68585..f1b03992 100644 --- a/benchmark/run_benchmark.py +++ b/benchmark/run_benchmark.py @@ -21,6 +21,8 @@ import pandas as pd +from .stats import Stats + TIMESTAMP_FORMAT = "%Y%m%d_%H%M%S.%f" @@ -42,6 +44,8 @@ class Modifier(NamedTuple): Modifier(r"@inherit_check_shapes", ""), Modifier(r"@check_shapes\(.*?\)", ""), Modifier(r"cs\((.*?), \".*?\"\)", r"\1"), + Modifier(r"from check_shapes import \(.*?\)", ""), + Modifier(r"from check_shapes[^(]*?^", ""), ) @@ -52,12 +56,12 @@ class Modifier(NamedTuple): def run_modified_script( - script: Path, modifiers: Modifiers, reps: int, keep: bool, output_dir: Path + script: Path, tmp_name: str, modifiers: Modifiers, reps: int, keep: bool, output_dir: Path ) -> Sequence[float]: - modified = output_dir / "tmp.py" + modified = output_dir / f"{tmp_name}.py" src = script.read_text() for modifier in modifiers: - src = re.sub(modifier.pattern, modifier.repl, src) + src = re.sub(modifier.pattern, modifier.repl, src, flags=re.MULTILINE + re.DOTALL) modified.write_text(src) timings = [] @@ -94,7 +98,7 @@ def run_benchmark( } modifiers = tuple(m for ms in modifier_strs for m in _MODIFIERS[ms]) - with_timings = run_modified_script(script, modifiers, reps, keep, output_dir) + with_timings = run_modified_script(script, "with", modifiers, reps, keep, output_dir) with_df = pd.DataFrame( { **shared_data, @@ -104,7 +108,7 @@ def run_benchmark( ) modifiers = _CHECK_SHAPES_MODIFIER + modifiers - without_timings = run_modified_script(script, modifiers, reps, keep, output_dir) + without_timings = run_modified_script(script, "without", modifiers, reps, keep, output_dir) without_df = pd.DataFrame( { **shared_data, @@ -117,6 +121,10 @@ def run_benchmark( csv_path = output_dir / f"results_{name}_{timestamp_str}.csv" df.to_csv(csv_path, index=False) + stats = Stats.new(df) + print(f"Relative overhead: {stats.rel_overhead_mean:.2%} +/- {stats.rel_overhead_std:.2%}") + print(f"Absolute overhead: {stats.abs_overhead_mean:.2}s +/- {stats.abs_overhead_std:.2}s") + def main() -> None: parser = argparse.ArgumentParser(description="Modify a script, then times its execution.") diff --git a/benchmark/stats.py b/benchmark/stats.py new file mode 100644 index 00000000..9ad6937d --- /dev/null +++ b/benchmark/stats.py @@ -0,0 +1,69 @@ +# Copyright 2022 The GPflow Contributors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from dataclasses import dataclass + +import numpy as np +import pandas as pd + + +@dataclass +class Stats: + + with_mean: float + with_std: float + without_mean: float + without_std: float + rel_overhead_mean: float + rel_overhead_std: float + abs_overhead_mean: float + abs_overhead_std: float + + @staticmethod + def new(df: pd.DataFrame) -> "Stats": + by_cs = df.groupby("check_shapes") + mean_by_cs = by_cs.time_s.mean() + std_by_cs = by_cs.time_s.std().fillna(0.0) + var_by_cs = by_cs.time_s.var().fillna(0.0) + + with_mean = mean_by_cs[True] + with_mean_sq = with_mean ** 2 + with_std = std_by_cs[True] + with_var = var_by_cs[True] + + without_mean = mean_by_cs[False] + without_mean_sq = without_mean ** 2 + without_std = std_by_cs[False] + without_var = var_by_cs[False] + + rel_overhead_mean = (with_mean / without_mean) - 1 + # https://en.wikipedia.org/wiki/Ratio_distribution#Uncorrelated_noncentral_normal_ratio + rel_overhead_var = (with_mean_sq / without_mean_sq) * ( + (with_var / with_mean_sq) + (without_var / without_mean_sq) + ) + rel_overhead_std = np.sqrt(rel_overhead_var) + + abs_overhead_mean = with_mean - without_mean + abs_overhead_var = with_var + without_var + abs_overhead_std = np.sqrt(abs_overhead_var) + + return Stats( + with_mean=with_mean, + with_std=with_std, + without_mean=without_mean, + without_std=without_std, + rel_overhead_mean=rel_overhead_mean, + rel_overhead_std=rel_overhead_std, + abs_overhead_mean=abs_overhead_mean, + abs_overhead_std=abs_overhead_std, + ) diff --git a/pylintrc b/pylintrc index 2e4bc6bf..28ef53e2 100644 --- a/pylintrc +++ b/pylintrc @@ -85,6 +85,7 @@ disable=comparison-with-callable, too-few-public-methods, too-many-arguments, too-many-branches, + too-many-instance-attributes, too-many-lines, too-many-locals, too-many-public-methods, From 96614d4380a64e885189950d04b208f838dcb523 Mon Sep 17 00:00:00 2001 From: Jesper Nielsen Date: Thu, 20 Oct 2022 15:03:09 +0100 Subject: [PATCH 2/2] Replace LARK with a hand-written parser. * This is faster and reduces the overhead of `check_shapes` somewhat. * This removes an external dependency of `check_shapes`. --- check_shapes/check_shapes.lark | 92 --- check_shapes/docstring.lark | 51 -- check_shapes/error_contexts.py | 69 +- check_shapes/parser.py | 780 +++++++++++++--------- poetry.lock | 129 ++-- poetryenvs/jax_max/poetry.lock | 235 +++---- poetryenvs/jax_min/poetry.lock | 135 ++-- poetryenvs/np_max/poetry.lock | 137 ++-- poetryenvs/np_min/poetry.lock | 129 ++-- poetryenvs/py_max/poetry.lock | 137 ++-- poetryenvs/py_min/poetry.lock | 129 ++-- poetryenvs/tf_max/poetry.lock | 249 ++++--- poetryenvs/tf_min/poetry.lock | 133 ++-- poetryenvs/tfp_max/poetry.lock | 249 ++++--- poetryenvs/tfp_min/poetry.lock | 133 ++-- poetryenvs/torch_max/poetry.lock | 137 ++-- poetryenvs/torch_min/poetry.lock | 129 ++-- pyproject.toml | 1 - tests/check_shapes/test_error_contexts.py | 142 ++-- tests/check_shapes/test_parser.py | 35 +- 20 files changed, 1521 insertions(+), 1710 deletions(-) delete mode 100644 check_shapes/check_shapes.lark delete mode 100644 check_shapes/docstring.lark diff --git a/check_shapes/check_shapes.lark b/check_shapes/check_shapes.lark deleted file mode 100644 index b6562614..00000000 --- a/check_shapes/check_shapes.lark +++ /dev/null @@ -1,92 +0,0 @@ -// Copyright 2022 The GPflow Contributors. All Rights Reserved. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Definition of the Lark grammar of the domain specific language for specifying tensors. - -?argument_or_note_spec: argument_spec - | note_spec - -argument_spec: argument_ref ":" shape_spec ("if" bool_spec)? note_spec? - -?bool_spec: bool_spec_1 - | bool_spec_or - -?bool_spec_1: bool_spec_2 - | bool_spec_and - -?bool_spec_2: "(" bool_spec ")" - | bool_spec_not - | bool_spec_argument_ref_is_none - | bool_spec_argument_ref_is_not_none - | bool_spec_argument_ref - -bool_spec_or: bool_spec "or" bool_spec_1 -bool_spec_and: bool_spec_1 "and" bool_spec_2 -bool_spec_not: "not" bool_spec_2 -bool_spec_argument_ref_is_none: argument_ref "is" "None" -bool_spec_argument_ref_is_not_none: argument_ref "is" "not" "None" -bool_spec_argument_ref: argument_ref - -?argument_ref: argument_ref_root - | argument_ref_attribute - | argument_ref_index - | argument_ref_all - | argument_ref_keys - | argument_ref_values - -argument_ref_root: CNAME -argument_ref_attribute: argument_ref "." CNAME -argument_ref_index: argument_ref "[" INT "]" -argument_ref_all: argument_ref "[" "all" "]" -argument_ref_keys: argument_ref "." "keys" "(" ")" -argument_ref_values: argument_ref "." "values" "(" ")" - -tensor_spec: shape_spec note_spec? - -shape_spec: "[" dimension_specs "]" - -dimension_specs: [dimension_spec ("," dimension_spec)* ","?] -?dimension_spec: dimension_spec_broadcast - | dimension_spec_broadcastable - -dimension_spec_broadcast: BROADCAST dimension_spec_broadcastable - -?dimension_spec_broadcastable: dimension_spec_constant - | dimension_spec_variable - | dimension_spec_anonymous - | dimension_spec_variable_rank - | dimension_spec_anonymous_variable_rank - -dimension_spec_constant: INT -dimension_spec_variable: CNAME -dimension_spec_anonymous: DOT | NONE -dimension_spec_variable_rank: (STAR CNAME) | (CNAME ELLIPSIS) -dimension_spec_anonymous_variable_rank: STAR | ELLIPSIS - -note_spec: HASH NOTE_TEXT* - -BROADCAST: "broadcast" -HASH: "#" -DOT: "." -NONE: "None" -STAR: "*" -ELLIPSIS: "..." - -NOTE_TEXT: /.+/ - -%import common.CNAME -%import common.INT -%import common.WS - -%ignore WS diff --git a/check_shapes/docstring.lark b/check_shapes/docstring.lark deleted file mode 100644 index 5dcb5c7f..00000000 --- a/check_shapes/docstring.lark +++ /dev/null @@ -1,51 +0,0 @@ -// Copyright 2022 The GPflow Contributors. All Rights Reserved. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Definition of the Lark grammar of Sphinx docstrings. -// -// We use this to parse, and then rewrite, the docstrings of annotated functions. - -docstring: docs info_fields - -info_fields.1: info_field* -?info_field.1: info_field_param - | info_field_returns - | info_field_other -info_field_param.1: ":" PARAM info_field_args ":" docs -info_field_returns.1: ":" RETURNS ":" docs -info_field_other.0: ":" INFO_FIELD_OTHER info_field_args ":" docs - -info_field_args: CNAME* - -docs.0: ANY* - -// The info fields are defined here: -// https://www.sphinx-doc.org/en/master/usage/restructuredtext/domains.html#info-field-lists - -INFO_FIELD_OTHER: TYPE | RAISES | VAR | VARTYPE | RTYPE | META -PARAM: "param" | "parameter" | "arg" | "argument" | "key" | "keyword" -TYPE: "type" -RAISES: "raises" | "raise" | "except" | "exception" -VAR: "var" | "ivar" | "cvar" -VARTYPE: "vartype" -RETURNS: "returns" | "return" -RTYPE: "rtype" -META: "meta" - -ANY: /.+/ - -%import common.CNAME -%import common.WS - -%ignore WS diff --git a/check_shapes/error_contexts.py b/check_shapes/error_contexts.py index b0e00960..55042a5b 100644 --- a/check_shapes/error_contexts.py +++ b/check_shapes/error_contexts.py @@ -38,15 +38,11 @@ Dict, Iterator, List, - Mapping, Optional, - Sequence, Tuple, Union, ) -from lark.exceptions import UnexpectedCharacters, UnexpectedEOF, UnexpectedInput - from .base_types import Shape from .config import get_enable_function_call_precompute @@ -563,48 +559,47 @@ class ParserInputContext(ErrorContext, ABC): """ text: str + index: int + + def print_line(self, builder: MessageBuilder) -> None: + text = self.text + index = self.index + + line_start = text.rfind("\n", 0, self.index) + if line_start != -1: + text = text[line_start + 1 :] + index -= line_start + 1 + + line_end = text.find("\n") + if line_end != -1: + text = text[:line_end] - def print_line(self, builder: MessageBuilder, line: int, column: int) -> None: - if line > 0: - line_content = self.text.split("\n")[line - 1] - builder.add_columned_line("Line:", f'"{line_content}"') - if column > 0: - builder.add_columned_line("", " " * column + "^") + builder.add_columned_line("Line:", f'"{text}"') + builder.add_columned_line("", " " * (index + 1) + "^") @dataclass(frozen=True) -class LarkUnexpectedInputContext(ParserInputContext): +class UnexpectedInputContext(ParserInputContext): """ - An error was caused by an `UnexpectedInput` error from `Lark`. + An error was caused by a malformed specification or docstring. """ - error: UnexpectedInput - terminal_descriptions: Mapping[str, str] + expected: Tuple[str, ...] + is_eof: bool def print(self, builder: MessageBuilder) -> None: - self.print_line( - builder, - getattr(self.error, "line", -1), - getattr(self.error, "column", -1), - ) - - expected: Sequence[str] = getattr(self.error, "accepts", []) - if not expected: - expected = getattr(self.error, "expected", []) - expected = sorted(expected) - expected_key = "Expected:" if len(expected) <= 1 else "Expected one of:" - for expected_name in expected: - expected_value = self.terminal_descriptions.get(expected_name, expected_name) - builder.add_columned_line(expected_key, expected_value) - expected_key = "" + self.print_line(builder) - if isinstance(self.error, UnexpectedCharacters): - builder.add_line("Found unexpected character.") - if isinstance(self.error, UnexpectedEOF): + if self.is_eof: builder.add_line("Found unexpected end of input.") + else: + builder.add_line("Found unexpected character.") - def __hash__(self) -> int: - return hash((self.error, *sorted(self.terminal_descriptions.items()))) + expected = sorted(set(self.expected)) + expected_key = "Expected:" if len(self.expected) <= 1 else "Expected one of:" + for expected_value in expected: + builder.add_columned_line(expected_key, expected_value) + expected_key = "" @dataclass(frozen=True) @@ -613,11 +608,9 @@ class MultipleElementBoolContext(ParserInputContext): An error was caused by trying to use a multi-element argument specification as a bool. """ - line: int - column: int - def print(self, builder: MessageBuilder) -> None: - self.print_line(builder, self.line, self.column) + self.print_line(builder) + builder.add_line( "Argument references that evaluate to multiple values are not supported for boolean" " expressions." diff --git a/check_shapes/parser.py b/check_shapes/parser.py index 25a7647c..681cd8c5 100644 --- a/check_shapes/parser.py +++ b/check_shapes/parser.py @@ -14,26 +14,20 @@ # pylint: disable=unused-argument -from abc import ABC -from dataclasses import replace +import re from typing import ( Any, Collection, Dict, - Iterable, List, Mapping, Optional, Sequence, Tuple, Type, + Union, ) -from lark.exceptions import UnexpectedInput -from lark.lark import Lark -from lark.lexer import PatternRE, PatternStr, Token -from lark.tree import Tree - from .argument_ref import ( RESULT_TOKEN, AllElementsRef, @@ -56,11 +50,11 @@ from .error_contexts import ( ArgumentContext, ErrorContext, - LarkUnexpectedInputContext, MultipleElementBoolContext, StackContext, + UnexpectedInputContext, ) -from .exceptions import CheckShapesError, DocstringParseError, SpecificationParseError +from .exceptions import SpecificationParseError from .specs import ( ParsedArgumentSpec, ParsedDimensionSpec, @@ -70,189 +64,407 @@ ParsedTensorSpec, ) -_VARIABLE_RANK_LEADING_TOKEN = "*" -_VARIABLE_RANK_TRAILING_TOKEN = "..." - +_TPattern = Tuple[str, str] +""" +A terminal kind in the ``check_shapes`` specification language. +""" -def _tree_children(tree: Tree[Token]) -> Iterable[Tree[Token]]: - """ Return all the children of `tree` that are trees themselves. """ - return (child for child in tree.children if isinstance(child, Tree)) +def _literal_terminal(literal: str) -> _TPattern: + """ + Create a terminal that only matches exactly the given ``literal``. + """ + return re.escape(literal), f'"{literal}"' + + +_T_STAR = _literal_terminal("*") +_T_ELLIPSIS = _literal_terminal("...") +_T_DOT = _literal_terminal(".") +_T_COLON = _literal_terminal(":") +_T_COMMA = _literal_terminal(",") +_T_LEFT_SQ = _literal_terminal("[") +_T_RIGHT_SQ = _literal_terminal("]") +_T_LEFT_PAREN = _literal_terminal("(") +_T_RIGHT_PAREN = _literal_terminal(")") +_T_BROADCAST = _literal_terminal("broadcast") +_T_NONE = _literal_terminal("None") +_T_IF = _literal_terminal("if") +_T_IS = _literal_terminal("is") +_T_NOT = _literal_terminal("not") +_T_AND = _literal_terminal("and") +_T_OR = _literal_terminal("or") +_T_INT = (r"[0-9]+", "") +_T_NAME = (r"[_a-zA-Z][_a-zA-Z0-9]*", "") +_T_NOTE = (r"#.*", '"#" ') +_T_IGNORE = (r"\s+", "") + +_T_ERROR = (r"", "") +""" +Pseudo-terminal that is never actually matched against, but is used to represent an error during +tokenisation. +""" + +_TERMINALS = ( + _T_STAR, + _T_ELLIPSIS, + _T_DOT, + _T_COLON, + _T_COMMA, + _T_LEFT_SQ, + _T_RIGHT_SQ, + _T_LEFT_PAREN, + _T_RIGHT_PAREN, + _T_BROADCAST, + _T_NONE, + _T_IF, + _T_IS, + _T_NOT, + _T_AND, + _T_OR, + _T_INT, + _T_NAME, + _T_NOTE, + _T_IGNORE, +) -def _token_children(tree: Tree[Token]) -> Iterable[str]: - """ Return the values of all the children of `tree` that are tokens. """ - return (child.value for child in tree.children if isinstance(child, Token)) +_TERMINALS_RE = re.compile("|".join(f"({t[0]})" for t in _TERMINALS), flags=re.DOTALL) +_SPACES_RE = re.compile(r"\s+") -class _TreeVisitor(ABC): +class _ShapeSpecParser: """ - Functionality for visiting the nodes of parse-trees. + Recursive descent parser for `check_shapes` specifications. - This differs from the classes built-in in Lark, in that it allows passing `*args` and - `**kwargs`. + The terminal kinds of the language are defined by the above ``_T_*`` variables and + ``_TERMINALS``. Each of those are a 2-tuple with: - Subclasses should add methods with the same name as Lark rules. Those methods should take the - parse tree of the rule, followed by any other `*args` and `**kwargs` you want. They may return - anything. - """ + 1. The regular expression pattern to match. + 2. A human-readable name of the pattern, that will be used in error messages. - def visit(self, tree: Tree[Token], *args: Any, **kwargs: Any) -> Any: - name = tree.data - visit = getattr(self, name, None) - assert visit, f"No method found with name {name}." - return visit(tree, *args, **kwargs) + The ``__init__`` below tokenises the input ``source`` into ``self.tokens``, which is a list of + 3-tuples with: + 1. The index into ``self.source`` where the token was matched. + 2. The kind of token, represented by the ``_T_*`` pattern that matched. + 3. The content of the token - the substring of ``self.source`` that was matched. -class _ParseSpec(_TreeVisitor): - def __init__(self, source: str) -> None: - self._source = source + ``self.i`` holds the input of the next token to process, so the next token is + ``self.tokens[self.i]``. - def argument_spec(self, tree: Tree[Token]) -> ParsedArgumentSpec: - argument_ref, shape_spec, *other_specs = _tree_children(tree) - argument = self.visit(argument_ref, False) - shape = self.visit(shape_spec) - condition = None - note = None - for other_spec in other_specs: - other = self.visit(other_spec) - if isinstance(other, ParsedBoolSpec): - assert condition is None - condition = other - else: - assert isinstance(other, ParsedNoteSpec) - assert note is None - note = other - tensor = ParsedTensorSpec(shape, note) - return ParsedArgumentSpec(argument, tensor, condition) - - def bool_spec_or(self, tree: Tree[Token]) -> ParsedBoolSpec: - left, right = _tree_children(tree) - return ParsedOrBoolSpec(self.visit(left), self.visit(right)) - - def bool_spec_and(self, tree: Tree[Token]) -> ParsedBoolSpec: - left, right = _tree_children(tree) - return ParsedAndBoolSpec(self.visit(left), self.visit(right)) - - def bool_spec_not(self, tree: Tree[Token]) -> ParsedBoolSpec: - (right,) = _tree_children(tree) - return ParsedNotBoolSpec(self.visit(right)) - - def bool_spec_argument_ref_is_none(self, tree: Tree[Token]) -> ParsedBoolSpec: - (argument_ref,) = _tree_children(tree) - return ParsedArgumentRefBoolSpec(self.visit(argument_ref, True), BoolTest.IS_NONE) - - def bool_spec_argument_ref_is_not_none(self, tree: Tree[Token]) -> ParsedBoolSpec: - (argument_ref,) = _tree_children(tree) - return ParsedArgumentRefBoolSpec(self.visit(argument_ref, True), BoolTest.IS_NOT_NONE) - - def bool_spec_argument_ref(self, tree: Tree[Token]) -> ParsedBoolSpec: - (argument_ref,) = _tree_children(tree) - return ParsedArgumentRefBoolSpec(self.visit(argument_ref, True), BoolTest.BOOL) - - def argument_ref_root(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (token,) = _token_children(tree) - return RootArgumentRef(token) - - def argument_ref_attribute(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (source,) = _tree_children(tree) - (token,) = _token_children(tree) - return AttributeArgumentRef(self.visit(source, is_for_bool_spec), token) - - def argument_ref_index(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (source,) = _tree_children(tree) - (token,) = _token_children(tree) - return IndexArgumentRef(self.visit(source, is_for_bool_spec), int(token)) - - def argument_ref_all(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (source,) = _tree_children(tree) - self._disallow_multiple_element_bool_spec(source, is_for_bool_spec) - return AllElementsRef(self.visit(source, is_for_bool_spec)) - - def argument_ref_keys(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (source,) = _tree_children(tree) - self._disallow_multiple_element_bool_spec(source, is_for_bool_spec) - return KeysRef(self.visit(source, is_for_bool_spec)) - - def argument_ref_values(self, tree: Tree[Token], is_for_bool_spec: bool) -> ArgumentRef: - (source,) = _tree_children(tree) - self._disallow_multiple_element_bool_spec(source, is_for_bool_spec) - return ValuesRef(self.visit(source, is_for_bool_spec)) - - def _disallow_multiple_element_bool_spec( - self, source: Tree[Token], is_for_bool_spec: bool - ) -> None: - if is_for_bool_spec: - meta = source.meta - raise SpecificationParseError( - MultipleElementBoolContext(self._source, meta.end_line, meta.end_column) - ) + To process the next token call ``self._accept`` with the expected token kind. + If the next token fails to match expectations the expectation is added to ``self.expected``, and + an error code is returned. If the token is accepted, ``self.expected`` is cleared. + If we give up matching the next token, we call ``self._unexpected_input`` which will use + ``self.expected`` to create an error messages with all the token kinds we failed to match. - def tensor_spec(self, tree: Tree[Token]) -> ParsedTensorSpec: - shape_spec, *note_specs = _tree_children(tree) - shape = self.visit(shape_spec) - if note_specs: - (note_spec,) = note_specs - note = self.visit(note_spec) - else: - note = None - return ParsedTensorSpec(shape, note) + Otherwise this class has a method for each non-terminal / construct of this language. + After parsing your specification, call ``self.close()`` to check that the entire input string + has been consumed. + """ - def shape_spec(self, tree: Tree[Token]) -> ParsedShapeSpec: - (dimension_specs,) = _tree_children(tree) - return ParsedShapeSpec(self.visit(dimension_specs)) + def __init__(self, source: str, context: ErrorContext) -> None: + l = len(source) + i = 0 + tokens: List[Tuple[int, _TPattern, str]] = [] + while i < l: + match = _TERMINALS_RE.match(source, i) + if match: + terminal = _TERMINALS[match.lastindex - 1] # type: ignore[operator] + if terminal is not _T_IGNORE: + tokens.append((i, terminal, match.group())) + i = match.end() + else: + tokens.append((i, _T_ERROR, "")) + i = l - def dimension_specs(self, tree: Tree[Token]) -> Tuple[ParsedDimensionSpec, ...]: - return tuple( - self.visit(dimension_spec, i) for i, dimension_spec in enumerate(_tree_children(tree)) + self.source = source + self.tokens = tokens + self.i = 0 + self.context = context + self.expected: List[str] = [] + + def _unexpected_input(self) -> None: + """ + Call this when we give up on consuming the next token. + """ + l = len(self.tokens) + is_eof = self.i >= l + i = len(self.source) if is_eof else self.tokens[self.i][0] + context = StackContext( + self.context, UnexpectedInputContext(self.source, i, tuple(self.expected), is_eof) ) + raise SpecificationParseError(context) - def dimension_spec_broadcast(self, tree: Tree[Token], i: int) -> ParsedDimensionSpec: - (dimension_spec,) = _tree_children(tree) - child = self.visit(dimension_spec, i) - assert isinstance(child, ParsedDimensionSpec) - return replace(child, broadcastable=True) + def _multiple_element_spec(self, is_for_bool_spec: bool) -> None: + """ + Call this if the user tries to use a multi-element argument specification in a boolean + context. + """ + if not is_for_bool_spec: + return + l = len(self.tokens) + token_i = self.i - 1 + is_eof = token_i >= l + source_i = len(self.source) if is_eof else self.tokens[token_i][0] + context = StackContext(self.context, MultipleElementBoolContext(self.source, source_i)) + raise SpecificationParseError(context) + + def _accept( + self, + expected: _TPattern, + expected_value: Optional[str] = None, + *, + required: bool = False, + out_type: Optional[Type[Any]] = None, + error_mesg: Optional[str] = None, + ) -> Any: + """ + Tries to consume the next token. - def dimension_spec_constant(self, tree: Tree[Token], i: int) -> ParsedDimensionSpec: - (token,) = _token_children(tree) - return ParsedDimensionSpec( - constant=int(token), variable_name=None, variable_rank=False, broadcastable=False - ) + The token is only consumed if it matches certain expectations. If not, a value indicating + error is returned. - def dimension_spec_variable(self, tree: Tree[Token], i: int) -> ParsedDimensionSpec: - (token,) = _token_children(tree) - return ParsedDimensionSpec( - constant=None, variable_name=token, variable_rank=False, broadcastable=False - ) + For the token to be consumed it must have ``expected`` kind. If ``expected_value`` is set + the value of the token must also match this value. - def dimension_spec_anonymous(self, tree: Tree[Token], i: int) -> ParsedDimensionSpec: - return ParsedDimensionSpec( - constant=None, variable_name=None, variable_rank=False, broadcastable=False - ) + * If ``required=True`` and the token is not consumed, then an error is raised. + * If ``out_type`` is set and the token is consumed then the value of the token is converted + to the given type and returned. + * If ``out_type`` is set and the token is is not consumed then ``None`` is returned. + * If ``required=False`` and ``out_type=None`` and then a ``bool`` indicating whether the + token was consumed is returned. - def dimension_spec_variable_rank(self, tree: Tree[Token], i: int) -> ParsedDimensionSpec: - (token1, token2) = _token_children(tree) - if token1 == _VARIABLE_RANK_LEADING_TOKEN: - variable_name = token2 + ``error_mesg`` can be used to define the user-visible "expected" value to print if a token + is not found. If unset, a default value for the kind of token is used. + """ + if error_mesg is None: + error_mesg = expected[1] + self.expected.append(error_mesg) + + if self.i >= len(self.tokens): + if required: + self._unexpected_input() + return None if out_type else False + token = self.tokens[self.i] + if token[1] is expected and (expected_value is None or token[2] == expected_value): + self.expected.clear() + self.i += 1 + return out_type(token[2]) if out_type else True + if required: + self._unexpected_input() + return None if out_type else False + + def _note_spec(self) -> Optional[ParsedNoteSpec]: + value = self._accept(_T_NOTE, out_type=str) + if value is None: + return None + value = value[1:] + value = value.strip() + value = _SPACES_RE.sub(" ", value) + return ParsedNoteSpec(value) + + def _dimension_spec(self) -> ParsedDimensionSpec: + match = False + constant: Optional[int] = None + variable_name: Optional[str] = None + variable_rank = False + broadcastable = False + if self._accept(_T_BROADCAST): + broadcastable = True + if self._accept(_T_ELLIPSIS): + variable_rank = True + match = True + elif self._accept(_T_DOT) or self._accept(_T_NONE): + match = True else: - assert token2 == _VARIABLE_RANK_TRAILING_TOKEN - variable_name = token1 + int_value = self._accept(_T_INT, out_type=int) + if int_value is not None: + constant = int_value + match = True + else: + if self._accept(_T_STAR): + variable_rank = True + match = True + name_value = self._accept(_T_NAME, out_type=str) + if name_value is not None: + variable_name = name_value + match = True + if not variable_rank and self._accept(_T_ELLIPSIS): + variable_rank = True + match = True + if not match: + self._unexpected_input() + assert False, "This line should be unreachable." return ParsedDimensionSpec( - constant=None, variable_name=variable_name, variable_rank=True, broadcastable=False + constant=constant, + variable_name=variable_name, + variable_rank=variable_rank, + broadcastable=broadcastable, ) - def dimension_spec_anonymous_variable_rank( - self, tree: Tree[Token], i: int - ) -> ParsedDimensionSpec: - return ParsedDimensionSpec( - constant=None, variable_name=None, variable_rank=True, broadcastable=False + def _shape_spec(self) -> ParsedShapeSpec: + self._accept(_T_LEFT_SQ, required=True) + dimension_specs = [] + if not self._accept(_T_RIGHT_SQ): + while True: + dimension_specs.append(self._dimension_spec()) + if self._accept(_T_COMMA): + if self._accept(_T_RIGHT_SQ): + break + elif self._accept(_T_RIGHT_SQ): + break + else: + self._unexpected_input() + return ParsedShapeSpec(tuple(dimension_specs)) + + def tensor_spec(self) -> ParsedTensorSpec: + shape_spec = self._shape_spec() + note_spec = self._note_spec() + return ParsedTensorSpec(shape_spec, note_spec) + + def _argument_ref(self, is_for_bool_spec: bool) -> Optional[ArgumentRef]: + name_value = self._accept(_T_NAME, out_type=str) + if name_value is None: + return None + result: ArgumentRef = RootArgumentRef(name_value) + while True: + if self._accept(_T_DOT): + if self._accept(_T_NAME, "keys", error_mesg='"keys"'): + self._multiple_element_spec(is_for_bool_spec) + self._accept(_T_LEFT_PAREN, required=True) + self._accept(_T_RIGHT_PAREN, required=True) + result = KeysRef(result) + elif self._accept(_T_NAME, "values", error_mesg='"values"'): + self._multiple_element_spec(is_for_bool_spec) + self._accept(_T_LEFT_PAREN, required=True) + self._accept(_T_RIGHT_PAREN, required=True) + result = ValuesRef(result) + else: + name_value = self._accept(_T_NAME, out_type=str) + if name_value is None: + self._unexpected_input() + assert False, "This line should be unreachable." + result = AttributeArgumentRef(result, name_value) + elif self._accept(_T_LEFT_SQ): + if self._accept(_T_NAME, "all", error_mesg='"all"'): + self._multiple_element_spec(is_for_bool_spec) + result = AllElementsRef(result) + else: + int_value = self._accept(_T_INT, out_type=int) + if int_value is None: + self._unexpected_input() + assert False, "This line should be unreachable." + result = IndexArgumentRef(result, int_value) + self._accept(_T_RIGHT_SQ, required=True) + else: + break + return result + + def _bool_spec_base(self) -> ParsedBoolSpec: + if self._accept(_T_LEFT_PAREN): + bool_spec: ParsedBoolSpec = self._bool_spec() + self._accept(_T_RIGHT_PAREN, required=True) + return bool_spec + if self._accept(_T_NOT): + return ParsedNotBoolSpec(self._bool_spec_base()) + maybe_argument_ref = self._argument_ref(is_for_bool_spec=True) + if maybe_argument_ref is None: + self._unexpected_input() + else: + argument_ref = maybe_argument_ref + if self._accept(_T_IS): + if self._accept(_T_NONE): + bool_spec = ParsedArgumentRefBoolSpec(argument_ref, BoolTest.IS_NONE) + elif self._accept(_T_NOT): + self._accept(_T_NONE, required=True) + bool_spec = ParsedArgumentRefBoolSpec(argument_ref, BoolTest.IS_NOT_NONE) + else: + self._unexpected_input() + else: + bool_spec = ParsedArgumentRefBoolSpec(argument_ref, BoolTest.BOOL) + return bool_spec + + def _bool_spec_and(self) -> ParsedBoolSpec: + lhs = self._bool_spec_base() + if self._accept(_T_AND): + rhs = self._bool_spec_and() + return ParsedAndBoolSpec(lhs, rhs) + return lhs + + def _bool_spec_or(self) -> ParsedBoolSpec: + lhs = self._bool_spec_and() + if self._accept(_T_OR): + rhs = self._bool_spec_or() + return ParsedOrBoolSpec(lhs, rhs) + return lhs + + def _bool_spec(self) -> ParsedBoolSpec: + return self._bool_spec_or() + + def _argument_spec(self) -> Optional[ParsedArgumentSpec]: + argument_ref = self._argument_ref(is_for_bool_spec=False) + if argument_ref is None: + return None + self._accept(_T_COLON, required=True) + shape_spec = self._shape_spec() + bool_spec = self._bool_spec() if self._accept(_T_IF) else None + note_spec = self._note_spec() + return ParsedArgumentSpec( + argument_ref, + ParsedTensorSpec(shape_spec, note_spec), + bool_spec, ) - def note_spec(self, tree: Tree[Token]) -> ParsedNoteSpec: - _hash_token, *note_tokens = _token_children(tree) - return ParsedNoteSpec(" ".join(token.strip() for token in note_tokens)) + def argument_or_note_spec(self) -> Union[ParsedNoteSpec, ParsedArgumentSpec]: + argument_spec = self._argument_spec() + if argument_spec is not None: + return argument_spec + note_spec = self._note_spec() + if note_spec is not None: + return note_spec + self._unexpected_input() + assert False, "This line should be unreachable." + + def close(self) -> None: + if self.i != len(self.tokens): + self.expected.append("") + self._unexpected_input() + + def __str__(self) -> str: + tokens = [] + for i, t in enumerate(self.tokens): + prefix = ">>> " if i == self.i else " " + tokens.append(prefix + str(t)) + return "\n".join(tokens) + + +_InfoField = Tuple[str, str, int, int] + +_PARAM_FIELDS = {"param", "parameter", "arg", "argument", "key", "keyword"} +_TYPE_FIELDS = {"type"} +_RAISES_FIELDS = {"raises", "raise", "except", "exception"} +_VAR_FIELDS = {"var", "ivar", "cvar"} +_VARTYPE_FIELDS = {"vartype"} +_RETURNS_FIELDS = {"returns", "return"} +_RTYPE_FIELDS = {"rtype"} +_META_FIELDS = {"meta"} +_ALL_FIELDS = ( + _PARAM_FIELDS + | _TYPE_FIELDS + | _RAISES_FIELDS + | _VAR_FIELDS + | _VARTYPE_FIELDS + | _RETURNS_FIELDS + | _RTYPE_FIELDS + | _META_FIELDS +) +_INFO_FIELD_RE = re.compile( + "^ *(:(" + "|".join(_ALL_FIELDS) + ")( +([ _a-zA-Z0-9]+))? *: *)", flags=re.MULTILINE +) +_TEXT_RE = re.compile(r"\s*(.*\S)\s*", flags=re.DOTALL) -class _RewritedocString(_TreeVisitor): +class _RewritedocString: def __init__(self, source: str, function_spec: ParsedFunctionSpec) -> None: self._source = source self._spec_lines = self._argument_specs_to_sphinx(function_spec.arguments) @@ -371,11 +583,11 @@ def _guess_indent(self, docstring: str) -> Optional[int]: return indent if indent != no_indent else None def _insert_spec_lines( - self, out: List[str], pos: int, spec_lines: Sequence[str], docs: Tree[Token] + self, out: List[str], pos: int, spec_lines: Sequence[str], info_field: _InfoField ) -> int: - leading_str = self._source[pos : docs.meta.start_pos].rstrip() + leading_str = self._source[pos : info_field[2]].rstrip() docs_start = pos + len(leading_str) - docs_str = self._source[docs_start : docs.meta.end_pos] + docs_str = self._source[docs_start : info_field[3]] trailing_str = docs_str.lstrip() docs_indent = self._guess_indent(docs_str) @@ -393,7 +605,7 @@ def _insert_spec_lines( out.append("\n") out.append(indent_str) out.append(trailing_str) - return docs.meta.end_pos + return info_field[3] def _insert_param_info_fields( self, @@ -437,21 +649,55 @@ def _insert_param_info_fields( return pos - def docstring(self, tree: Tree[Token]) -> str: + def docstring(self) -> str: # The strategy here is: # * `out` contains a list of strings that will be concatenated and form the final result. # * `pos` is the position such that `self._source[:pos]` has already been added to `out`, # and `self._source[pos:]` still needs to be added. # * When visiting children we pass `out` and `pos`, and the children add content to `out` # and return a new `pos`. - docs, info_fields = _tree_children(tree) out: List[str] = [] + info_fields: List[_InfoField] = [] pos = 0 + def get_text_indices(start: int, end: int) -> Tuple[int, int]: + match = _TEXT_RE.fullmatch(self._source, start, end) + if match: + return match.start(1), match.end(1) + else: + return start, start + + prev_match = None + for match in _INFO_FIELD_RE.finditer(self._source): + if prev_match is None: + docs_end = get_text_indices(0, match.start(0))[1] + else: + info_fields.append( + ( + prev_match.group(2), + prev_match.group(4), + *get_text_indices(prev_match.end(0), match.start(1)), + ) + ) + + prev_match = match + + if prev_match is None: + docs_match = _TEXT_RE.match(self._source) + docs_end = docs_match.end(0) if docs_match else 0 + else: + info_fields.append( + ( + prev_match.group(2), + prev_match.group(4), + *get_text_indices(prev_match.end(0), len(self._source)), + ) + ) + if self._notes: - if not docs.meta.empty: - out.append(self._source[pos : docs.meta.end_pos]) - pos = docs.meta.end_pos + if docs_end: + out.append(self._source[pos:docs_end]) + pos = docs_end indent = self._indent or 0 indent_str = indent * " " for note in self._notes: @@ -460,17 +706,20 @@ def docstring(self, tree: Tree[Token]) -> str: out.append(indent_str) out.append(note) - pos = self.visit(info_fields, out, pos) + pos = self._info_fields(info_fields, out, pos) out.append(self._source[pos:]) return "".join(out) - def info_fields(self, tree: Tree[Token], out: List[str], pos: int) -> int: + def _info_fields(self, info_fields: Sequence[_InfoField], out: List[str], pos: int) -> int: spec_lines = dict(self._spec_lines) is_first_info_field = True - for child in _tree_children(tree): + for info_field in info_fields: # This will remove the self._spec_lines corresponding to found `:param:`'s. - pos = self.visit(child, spec_lines, out, pos) + if info_field[0] in _PARAM_FIELDS: + pos = self._info_field_param(info_field, spec_lines, out, pos) + elif info_field[0] in _RETURNS_FIELDS: + pos = self._info_field_returns(info_field, spec_lines, out, pos) is_first_info_field = False # Add any remaining `:param:`s: @@ -483,159 +732,39 @@ def info_fields(self, tree: Tree[Token], out: List[str], pos: int) -> int: return pos - def info_field_param( - self, tree: Tree[Token], spec_lines: Dict[str, Sequence[str]], out: List[str], pos: int + def _info_field_param( + self, info_field: _InfoField, spec_lines: Dict[str, Sequence[str]], out: List[str], pos: int ) -> int: - info_field_args, docs = _tree_children(tree) - arg_name = self.visit(info_field_args) + arg_name = info_field[1] arg_lines = spec_lines.pop(arg_name, None) if arg_lines: - pos = self._insert_spec_lines(out, pos, arg_lines, docs) + pos = self._insert_spec_lines(out, pos, arg_lines, info_field) return pos - def info_field_returns( - self, tree: Tree[Token], spec_lines: Dict[str, Sequence[str]], out: List[str], pos: int + def _info_field_returns( + self, info_field: _InfoField, spec_lines: Dict[str, Sequence[str]], out: List[str], pos: int ) -> int: - (docs,) = _tree_children(tree) return_lines = spec_lines.pop(RESULT_TOKEN, None) if return_lines: - pos = self._insert_spec_lines(out, pos, return_lines, docs) + pos = self._insert_spec_lines(out, pos, return_lines, info_field) return pos - def info_field_other( - self, tree: Tree[Token], spec_lines: Dict[str, Sequence[str]], out: List[str], pos: int - ) -> int: - return pos - - def info_field_args(self, tree: Tree[Token]) -> str: - tokens = list(_token_children(tree)) - if not tokens: - return "" - return tokens[-1] - -class _CachedParser: - """ - Small wrapper around Lark so that we can reuse as much code as possible between the different - things we parse. - """ - - def __init__( - self, - grammar_filename: str, - start_symbol: str, - parser_name: str, - re_terminal_descriptions: Mapping[str, str], - transformer_class: Type[_TreeVisitor], - exception_class: Type[CheckShapesError], - ) -> None: - self._cache: Dict[Tuple[str, Tuple[Any, ...]], Any] = {} - self._parser = Lark.open( - grammar_filename, - rel_to=__file__, - propagate_positions=True, - start=start_symbol, - parser=parser_name, - ) - self._terminal_descriptions = {} - self._transformer_class = transformer_class - self._exception_class = exception_class - - # Pre-compute nice terminal descriptions for our error messages: - missing = set() - unused = dict(re_terminal_descriptions) - for terminal in self._parser.terminals: - name = terminal.name - pattern = terminal.pattern - if isinstance(pattern, PatternStr): - description = f'"{pattern.value}"' - else: - assert isinstance(pattern, PatternRE) - unused_description = unused.pop(name, None) - # If we enter this `if` then the parser is misconfigured, so we never get here, even - # during tests. - if unused_description is None: # pragma: no cover - missing.add(name) - description = "ERROR" - else: - description = f"{re_terminal_descriptions[name]} (re={pattern.value})" - self._terminal_descriptions[name] = description - assert not unused, f"Redundant terminal descriptions were provided: {sorted(unused)}" - assert not missing, f"Some RE terminals did not have a description: {sorted(missing)}" - - def parse(self, text: str, transformer_args: Tuple[Any, ...], context: ErrorContext) -> Any: - sentinel = object() - cache_key = (text, transformer_args) - result = self._cache.get(cache_key, sentinel) - if result is sentinel: - try: - tree = self._parser.parse(text) - except UnexpectedInput as ui: - raise self._exception_class( - StackContext( - context, LarkUnexpectedInputContext(text, ui, self._terminal_descriptions) - ) - ) from ui - - try: - result = self._transformer_class(*transformer_args).visit(tree) - except CheckShapesError as cse: - raise self._exception_class(StackContext(context, cse.context)) from cse - - self._cache[cache_key] = result - return result - - -_TENSOR_SPEC_PARSER = _CachedParser( - grammar_filename="check_shapes.lark", - start_symbol="tensor_spec", - parser_name="lalr", - re_terminal_descriptions={ - "NOTE_TEXT": "note / comment text", - "CNAME": "variable name", - "INT": "integer", - "WS": "whitespace", - }, - transformer_class=_ParseSpec, - exception_class=SpecificationParseError, -) -_ARGUMENT_SPEC_PARSER = _CachedParser( - grammar_filename="check_shapes.lark", - start_symbol="argument_or_note_spec", - parser_name="lalr", - re_terminal_descriptions={ - "NOTE_TEXT": "note / comment text", - "CNAME": "variable name", - "INT": "integer", - "WS": "whitespace", - }, - transformer_class=_ParseSpec, - exception_class=SpecificationParseError, -) -_SPHINX_DOCSTRING_PARSER = _CachedParser( - grammar_filename="docstring.lark", - start_symbol="docstring", - parser_name="earley", - re_terminal_descriptions={ - "ANY": "any text", - "CNAME": "variable name", - "INFO_FIELD_OTHER": "Sphinx info field", - "PARAM": "Sphinx parameter field", - "RETURNS": "Sphinx `return` field", - "WS": "whitespace", - }, - transformer_class=_RewritedocString, - exception_class=DocstringParseError, -) +_TENSOR_SPEC_CACHE: Dict[str, ParsedTensorSpec] = {} +_ARGUMENT_OR_NOTE_SPEC_CACHE: Dict[str, Union[ParsedArgumentSpec, ParsedNoteSpec]] = {} +_SPHINX_REWRITE_CACHE: Dict[Tuple[str, ParsedFunctionSpec], str] = {} def parse_tensor_spec(tensor_spec: str, context: ErrorContext) -> ParsedTensorSpec: - """ Parse a `check_shapes` tensor specification. """ - result = _TENSOR_SPEC_PARSER.parse(tensor_spec, (tensor_spec,), context) - assert isinstance(result, ParsedTensorSpec) + result = _TENSOR_SPEC_CACHE.get(tensor_spec) + if result is None: + parser = _ShapeSpecParser(tensor_spec, context) + result = parser.tensor_spec() + parser.close() + _TENSOR_SPEC_CACHE[tensor_spec] = result return result @@ -646,13 +775,18 @@ def parse_function_spec(function_spec: Sequence[str], context: ErrorContext) -> arguments = [] notes = [] for i, spec in enumerate(function_spec): - argument_context = StackContext(context, ArgumentContext(i)) - parsed_spec = _ARGUMENT_SPEC_PARSER.parse(spec, (spec,), argument_context) - if isinstance(parsed_spec, ParsedArgumentSpec): - arguments.append(parsed_spec) + result = _ARGUMENT_OR_NOTE_SPEC_CACHE.get(spec) + if result is None: + argument_context = StackContext(context, ArgumentContext(i)) + parser = _ShapeSpecParser(spec, argument_context) + result = parser.argument_or_note_spec() + parser.close() + _ARGUMENT_OR_NOTE_SPEC_CACHE[spec] = result + if isinstance(result, ParsedArgumentSpec): + arguments.append(result) else: - assert isinstance(parsed_spec, ParsedNoteSpec) - notes.append(parsed_spec) + assert isinstance(result, ParsedNoteSpec) + notes.append(result) return ParsedFunctionSpec(tuple(arguments), tuple(notes)) @@ -673,6 +807,10 @@ def parse_and_rewrite_docstring( f"Current docstring format is {docstring_format}, but I don't know how to rewrite that." " See `check_shapes.config.set_rewrite_docstrings`." ) - result = _SPHINX_DOCSTRING_PARSER.parse(docstring, (docstring, function_spec), context) - assert isinstance(result, str) + + result = _SPHINX_REWRITE_CACHE.get((docstring, function_spec)) + if result is None: + parser = _RewritedocString(docstring, function_spec) + result = parser.docstring() + _SPHINX_REWRITE_CACHE[(docstring, function_spec)] = result return result diff --git a/poetry.lock b/poetry.lock index cf9d7171..24622212 100644 --- a/poetry.lock +++ b/poetry.lock @@ -116,11 +116,11 @@ importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} [[package]] name = "colorama" -version = "0.4.5" +version = "0.4.6" description = "Cross-platform colored terminal text." category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" [[package]] name = "cycler" @@ -132,11 +132,11 @@ python-versions = ">=3.6" [[package]] name = "dill" -version = "0.3.5.1" +version = "0.3.6" description = "serialize all of python" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" +python-versions = ">=3.7" [package.extras] graph = ["objgraph (>=1.7.2)"] @@ -151,7 +151,7 @@ python-versions = ">=3.7" [[package]] name = "fonttools" -version = "4.37.4" +version = "4.38.0" description = "Tools to manipulate font files" category = "dev" optional = false @@ -251,19 +251,6 @@ python-versions = ">=3.7" [package.dependencies] typing-extensions = {version = "*", markers = "python_version < \"3.8\""} -[[package]] -name = "lark" -version = "1.1.2" -description = "a modern parsing library" -category = "main" -optional = false -python-versions = "*" - -[package.extras] -regex = ["regex"] -nearley = ["js2py"] -atomic_cache = ["atomicwrites"] - [[package]] name = "lazy-object-proxy" version = "1.7.1" @@ -426,7 +413,7 @@ dev = ["tox", "pre-commit"] [[package]] name = "psutil" -version = "5.9.2" +version = "5.9.3" description = "Cross-platform lib for process and system monitoring in Python." category = "dev" optional = false @@ -521,7 +508,7 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2022.4" +version = "2022.5" description = "World timezone definitions, modern and historical" category = "dev" optional = false @@ -595,7 +582,7 @@ python-versions = "*" [[package]] name = "sphinx" -version = "5.2.3" +version = "5.3.0" description = "Python documentation generator" category = "dev" optional = false @@ -801,7 +788,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" [[package]] name = "zipp" -version = "3.9.0" +version = "3.10.0" description = "Backport of pathlib-compatible object wrapper for zip files" category = "dev" optional = false @@ -814,7 +801,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 [metadata] lock-version = "1.1" python-versions = ">=3.7,<3.11" -content-hash = "fbf52a0c006aeddcdc91487133de02d74ee0899fc96c085b5848bbf9a92d2f41" +content-hash = "929d6efb045e998d2165ca11b07af2574fe258bc958f7e269dedb5b414aa323a" [metadata.files] alabaster = [ @@ -856,24 +843,24 @@ click = [ {file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"}, ] colorama = [ - {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"}, - {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"}, + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] cycler = [ {file = "cycler-0.11.0-py3-none-any.whl", hash = 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description = "Differentiate, compile, and transform Numpy code." category = "main" optional = false @@ -285,7 +285,7 @@ python-versions = ">=3.7" [package.dependencies] absl-py = "*" etils = {version = "*", extras = ["epath"]} -jaxlib = {version = "0.3.20", optional = true, markers = "extra == \"cpu\""} +jaxlib = {version = "0.3.22", optional = true, markers = "extra == \"cpu\""} numpy = ">=1.20" opt_einsum = "*" scipy = ">=1.5" @@ -293,17 +293,17 @@ typing_extensions = "*" [package.extras] australis = ["protobuf (>=3.13,<4)"] -ci = ["jaxlib (==0.3.20)"] -cpu = ["jaxlib (==0.3.20)"] -cuda = ["jaxlib (==0.3.20+cuda11.cudnn82)"] -cuda11_cudnn805 = ["jaxlib (==0.3.20+cuda11.cudnn805)"] -cuda11_cudnn82 = ["jaxlib (==0.3.20+cuda11.cudnn82)"] +ci = ["jaxlib (==0.3.22)"] +cpu = ["jaxlib (==0.3.22)"] +cuda = ["jaxlib (==0.3.22+cuda11.cudnn82)"] +cuda11_cudnn805 = ["jaxlib (==0.3.22+cuda11.cudnn805)"] +cuda11_cudnn82 = ["jaxlib (==0.3.22+cuda11.cudnn82)"] minimum-jaxlib = ["jaxlib (==0.3.15)"] 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"sha256:5b10cb1022dac8c035f75767799c39217a05fc0fe2d6fe5597560d38e44f0363"}, - {file = "sphinx-5.2.3-py3-none-any.whl", hash = "sha256:7abf6fabd7b58d0727b7317d5e2650ef68765bbe0ccb63c8795fa8683477eaa2"}, + {file = "Sphinx-5.3.0.tar.gz", hash = "sha256:51026de0a9ff9fc13c05d74913ad66047e104f56a129ff73e174eb5c3ee794b5"}, + {file = "sphinx-5.3.0-py3-none-any.whl", hash = "sha256:060ca5c9f7ba57a08a1219e547b269fadf125ae25b06b9fa7f66768efb652d6d"}, ] sphinx-autoapi = [ {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"}, @@ -1646,6 +1633,6 @@ wrapt = [ {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"}, ] zipp = [ - {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"}, - {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"}, + {file = "zipp-3.10.0-py3-none-any.whl", hash = "sha256:4fcb6f278987a6605757302a6e40e896257570d11c51628968ccb2a47e80c6c1"}, + {file = "zipp-3.10.0.tar.gz", hash = "sha256:7a7262fd930bd3e36c50b9a64897aec3fafff3dfdeec9623ae22b40e93f99bb8"}, ] diff --git a/pyproject.toml b/pyproject.toml index bab8e23a..094b30cb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,7 +31,6 @@ classifiers = [ ] [tool.poetry.dependencies] -lark = "^1.1.0" python = ">=3.7,<3.11" [tool.poetry.dev-dependencies] diff --git a/tests/check_shapes/test_error_contexts.py b/tests/check_shapes/test_error_contexts.py index f8c49535..ca36bd56 100644 --- a/tests/check_shapes/test_error_contexts.py +++ b/tests/check_shapes/test_error_contexts.py @@ -12,10 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. from functools import wraps -from unittest.mock import MagicMock import pytest -from lark.exceptions import UnexpectedCharacters, UnexpectedEOF, UnexpectedToken from check_shapes import set_enable_function_call_precompute from check_shapes.error_contexts import ( @@ -26,7 +24,6 @@ FunctionCallContext, FunctionDefinitionContext, IndexContext, - LarkUnexpectedInputContext, MappingKeyContext, MappingValueContext, MessageBuilder, @@ -38,6 +35,7 @@ ShapeContext, StackContext, TensorSpecContext, + UnexpectedInputContext, VariableContext, ) from check_shapes.specs import ParsedNoteSpec @@ -764,100 +762,86 @@ class B: check_eq(context) -def test_lark_unexpected_input_context__unexpected_eof() -> None: - text = "" - error = MagicMock(UnexpectedEOF, expected=["A", "B", "C"], line=-1, column=-1) - terminal_descriptions = { - "A": "Some a's", - "B": "Some b's", - "C": "Some c's", - } - - context = LarkUnexpectedInputContext(text, error, terminal_descriptions) - assert """ -Expected one of: Some a's - Some b's - Some c's -Found unexpected end of input. -""" == to_str( - context - ) - check_eq(context) - - -def test_lark_unexpected_input_context__unexpected_characters() -> None: - text = """This is line 1 -This is line 2 -This is line 3 -""" - error = MagicMock(UnexpectedCharacters, line=2, column=9) - terminal_descriptions = { - "A": "Some a's", - "B": "Some b's", - "C": "Some c's", - } - - context = LarkUnexpectedInputContext(text, error, terminal_descriptions) - assert """ -Line: "This is line 2" - ^ -Found unexpected character. -""" == to_str( - context - ) - check_eq(context) - - -def test_lark_unexpected_input_context__unexpected_token() -> None: - text = """This is line 1 -This is line 2 -This is line 3 -""" - error = MagicMock(UnexpectedToken, accepts=["B"], line=1, column=14) - terminal_descriptions = { - "A": "Some a's", - "B": "Some b's", - "C": "Some c's", - } - - context = LarkUnexpectedInputContext(text, error, terminal_descriptions) - assert """ -Line: "This is line 1" - ^ -Expected: Some b's -""" == to_str( - context - ) - check_eq(context) - - @pytest.mark.parametrize( "context,expected", [ ( - MultipleElementBoolContext("foo bar", 1, 5), + UnexpectedInputContext("""This is the only line""", 12, ("A",), is_eof=False), """ -Line: "foo bar" - ^ -Argument references that evaluate to multiple values are not supported for boolean expressions. +Line: "This is the only line" + ^ +Found unexpected character. +Expected: A """, ), ( - MultipleElementBoolContext("foo bar", 0, 5), + UnexpectedInputContext( + """This is the only line""", + 12, + ("A", "B", "A"), + is_eof=False, + ), """ -Argument references that evaluate to multiple values are not supported for boolean expressions. +Line: "This is the only line" + ^ +Found unexpected character. +Expected one of: A + B +""", + ), + ( + UnexpectedInputContext( + """This is line 1 +This is line 2 +This is line 3""", + 23, + ("A",), + is_eof=False, + ), + """ +Line: "This is line 2" + ^ +Found unexpected character. +Expected: A +""", + ), + ( + UnexpectedInputContext("""This is the only line""", 21, ("A",), is_eof=True), + """ +Line: "This is the only line" + ^ +Found unexpected end of input. +Expected: A """, ), + ], +) +def test_unexpected_input_context(context: ErrorContext, expected: str) -> None: + assert expected == to_str(context) + check_eq(context) + + +@pytest.mark.parametrize( + "context,expected", + [ ( - MultipleElementBoolContext("foo bar", 1, 0), + MultipleElementBoolContext("This is the only line", 12), """ -Line: "foo bar" +Line: "This is the only line" + ^ Argument references that evaluate to multiple values are not supported for boolean expressions. """, ), ( - MultipleElementBoolContext("foo bar", 0, 0), + MultipleElementBoolContext( + """This is line 1 +This is line 2 +This is line 3""", + 23, + ), """ +Line: "This is line 2" + ^ Argument references that evaluate to multiple values are not supported for boolean expressions. """, ), diff --git a/tests/check_shapes/test_parser.py b/tests/check_shapes/test_parser.py index adacccf6..8d0e38a0 100644 --- a/tests/check_shapes/test_parser.py +++ b/tests/check_shapes/test_parser.py @@ -1312,8 +1312,9 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a [batch..., x]" ^ + Found unexpected character. Expected one of: "all" - integer (re=(?:[0-9])+) + """, ), ( @@ -1324,8 +1325,9 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a= [batch..., x]" ^ - Expected one of: ":" - "." + Found unexpected character. + Expected one of: "." + ":" "[" """, ), @@ -1337,6 +1339,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a: (batch..., x)" ^ + Found unexpected character. Expected: "[" """, ), @@ -1348,6 +1351,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a: batch..., x]" ^ + Found unexpected character. Expected: "[" """, ), @@ -1359,6 +1363,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a: [batch... x]" ^ + Found unexpected character. Expected one of: "," "]" """, @@ -1370,7 +1375,8 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: check_shapes called at: __check_shapes_path_and_line__ Argument number (0-indexed): 0 Line: "a: [batch..., x" - ^ + ^ + Found unexpected end of input. Expected one of: "," "..." "]" @@ -1384,14 +1390,15 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "a: [, x]" ^ - Expected one of: "broadcast" - variable name (re=(?:(?:[A-Z]|[a-z])|_)(?:(?:(?:[A-Z]|[a-z])|[0-9]|_))*) + Found unexpected character. + Expected one of: "*" "." "..." - integer (re=(?:[0-9])+) "None" "]" - "*" + "broadcast" + + """, ), ( @@ -1401,7 +1408,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: check_shapes called at: __check_shapes_path_and_line__ Argument number (0-indexed): 0 Line: "a: [x] if b[all]" - ^ + ^ Argument references that evaluate to multiple values are not supported for boolean expressions. """, ), @@ -1412,7 +1419,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: check_shapes called at: __check_shapes_path_and_line__ Argument number (0-indexed): 0 Line: "a: [x] if b.keys()" - ^ + ^ Argument references that evaluate to multiple values are not supported for boolean expressions. """, ), @@ -1423,7 +1430,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: check_shapes called at: __check_shapes_path_and_line__ Argument number (0-indexed): 0 Line: "a: [x] if b.c[2].values()[3].d" - ^ + ^ Argument references that evaluate to multiple values are not supported for boolean expressions. """, ), @@ -1435,8 +1442,9 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: "" ^ - Expected one of: variable name (re=(?:(?:[A-Z]|[a-z])|_)(?:(?:(?:[A-Z]|[a-z])|[0-9]|_))*) - "#" + Found unexpected end of input. + Expected one of: "#" + """, ), ( @@ -1452,6 +1460,7 @@ def test_parse_and_rewrite_docstring__disable(data: TestData) -> None: Argument number (0-indexed): 0 Line: " x" ^ + Found unexpected character. Expected one of: "," "]" """,