# Copyright (c) 2022-2024, The Isaac Lab Project Developers.
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
"""Sub-module containing utilities for transforming strings and regular expressions."""
import ast
import importlib
import inspect
import re
from collections.abc import Callable, Sequence
from typing import Any
"""
String formatting.
"""
[文档]def to_camel_case(snake_str: str, to: str = "cC") -> str:
"""Converts a string from snake case to camel case.
Args:
snake_str: A string in snake case (i.e. with '_')
to: Convention to convert string to. Defaults to "cC".
Raises:
ValueError: Invalid input argument `to`, i.e. not "cC" or "CC".
Returns:
A string in camel-case format.
"""
# check input is correct
if to not in ["cC", "CC"]:
msg = "to_camel_case(): Choose a valid `to` argument (CC or cC)"
raise ValueError(msg)
# convert string to lower case and split
components = snake_str.lower().split("_")
if to == "cC":
# We capitalize the first letter of each component except the first one
# with the 'title' method and join them together.
return components[0] + "".join(x.title() for x in components[1:])
else:
# Capitalize first letter in all the components
return "".join(x.title() for x in components)
[文档]def to_snake_case(camel_str: str) -> str:
"""Converts a string from camel case to snake case.
Args:
camel_str: A string in camel case.
Returns:
A string in snake case (i.e. with '_')
"""
camel_str = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", camel_str)
return re.sub("([a-z0-9])([A-Z])", r"\1_\2", camel_str).lower()
[文档]def string_to_slice(s: str):
"""Convert a string representation of a slice to a slice object.
Args:
s: The string representation of the slice.
Returns:
The slice object.
"""
# extract the content inside the slice()
match = re.match(r"slice\((.*),(.*),(.*)\)", s)
if not match:
raise ValueError(f"Invalid slice string format: {s}")
# extract start, stop, and step values
start_str, stop_str, step_str = match.groups()
# convert 'None' to None and other strings to integers
start = None if start_str == "None" else int(start_str)
stop = None if stop_str == "None" else int(stop_str)
step = None if step_str == "None" else int(step_str)
# create and return the slice object
return slice(start, stop, step)
"""
String <-> Callable operations.
"""
[文档]def is_lambda_expression(name: str) -> bool:
"""Checks if the input string is a lambda expression.
Args:
name: The input string.
Returns:
Whether the input string is a lambda expression.
"""
try:
ast.parse(name)
return isinstance(ast.parse(name).body[0], ast.Expr) and isinstance(ast.parse(name).body[0].value, ast.Lambda)
except SyntaxError:
return False
[文档]def callable_to_string(value: Callable) -> str:
"""Converts a callable object to a string.
Args:
value: A callable object.
Raises:
ValueError: When the input argument is not a callable object.
Returns:
A string representation of the callable object.
"""
# check if callable
if not callable(value):
raise ValueError(f"The input argument is not callable: {value}.")
# check if lambda function
if value.__name__ == "<lambda>":
# we resolve the lambda expression by checking the source code and extracting the line with lambda expression
# we also remove any comments from the line
lambda_line = inspect.getsourcelines(value)[0][0].strip().split("lambda")[1].strip().split(",")[0]
lambda_line = re.sub(r"#.*$", "", lambda_line).rstrip()
return f"lambda {lambda_line}"
else:
# get the module and function name
module_name = value.__module__
function_name = value.__name__
# return the string
return f"{module_name}:{function_name}"
[文档]def string_to_callable(name: str) -> Callable:
"""Resolves the module and function names to return the function.
Args:
name: The function name. The format should be 'module:attribute_name' or a
lambda expression of format: 'lambda x: x'.
Raises:
ValueError: When the resolved attribute is not a function.
ValueError: When the module cannot be found.
Returns:
Callable: The function loaded from the module.
"""
try:
if is_lambda_expression(name):
callable_object = eval(name)
else:
mod_name, attr_name = name.split(":")
mod = importlib.import_module(mod_name)
callable_object = getattr(mod, attr_name)
# check if attribute is callable
if callable(callable_object):
return callable_object
else:
raise AttributeError(f"The imported object is not callable: '{name}'")
except (ValueError, ModuleNotFoundError) as e:
msg = (
f"Could not resolve the input string '{name}' into callable object."
" The format of input should be 'module:attribute_name'.\n"
f"Received the error:\n {e}."
)
raise ValueError(msg)
"""
Regex operations.
"""
[文档]def resolve_matching_names(
keys: str | Sequence[str], list_of_strings: Sequence[str], preserve_order: bool = False
) -> tuple[list[int], list[str]]:
"""Match a list of query regular expressions against a list of strings and return the matched indices and names.
When a list of query regular expressions is provided, the function checks each target string against each
query regular expression and returns the indices of the matched strings and the matched strings.
If the :attr:`preserve_order` is True, the ordering of the matched indices and names is the same as the order
of the provided list of strings. This means that the ordering is dictated by the order of the target strings
and not the order of the query regular expressions.
If the :attr:`preserve_order` is False, the ordering of the matched indices and names is the same as the order
of the provided list of query regular expressions.
For example, consider the list of strings is ['a', 'b', 'c', 'd', 'e'] and the regular expressions are ['a|c', 'b'].
If :attr:`preserve_order` is False, then the function will return the indices of the matched strings and the
strings as: ([0, 1, 2], ['a', 'b', 'c']). When :attr:`preserve_order` is True, it will return them as:
([0, 2, 1], ['a', 'c', 'b']).
Note:
The function does not sort the indices. It returns the indices in the order they are found.
Args:
keys: A regular expression or a list of regular expressions to match the strings in the list.
list_of_strings: A list of strings to match.
preserve_order: Whether to preserve the order of the query keys in the returned values. Defaults to False.
Returns:
A tuple of lists containing the matched indices and names.
Raises:
ValueError: When multiple matches are found for a string in the list.
ValueError: When not all regular expressions are matched.
"""
# resolve name keys
if isinstance(keys, str):
keys = [keys]
# find matching patterns
index_list = []
names_list = []
key_idx_list = []
# book-keeping to check that we always have a one-to-one mapping
# i.e. each target string should match only one regular expression
target_strings_match_found = [None for _ in range(len(list_of_strings))]
keys_match_found = [[] for _ in range(len(keys))]
# loop over all target strings
for target_index, potential_match_string in enumerate(list_of_strings):
for key_index, re_key in enumerate(keys):
if re.fullmatch(re_key, potential_match_string):
# check if match already found
if target_strings_match_found[target_index]:
raise ValueError(
f"Multiple matches for '{potential_match_string}':"
f" '{target_strings_match_found[target_index]}' and '{re_key}'!"
)
# add to list
target_strings_match_found[target_index] = re_key
index_list.append(target_index)
names_list.append(potential_match_string)
key_idx_list.append(key_index)
# add for regex key
keys_match_found[key_index].append(potential_match_string)
# reorder keys if they should be returned in order of the query keys
if preserve_order:
reordered_index_list = [None] * len(index_list)
global_index = 0
for key_index in range(len(keys)):
for key_idx_position, key_idx_entry in enumerate(key_idx_list):
if key_idx_entry == key_index:
reordered_index_list[key_idx_position] = global_index
global_index += 1
# reorder index and names list
index_list_reorder = [None] * len(index_list)
names_list_reorder = [None] * len(index_list)
for idx, reorder_idx in enumerate(reordered_index_list):
index_list_reorder[reorder_idx] = index_list[idx]
names_list_reorder[reorder_idx] = names_list[idx]
# update
index_list = index_list_reorder
names_list = names_list_reorder
# check that all regular expressions are matched
if not all(keys_match_found):
# make this print nicely aligned for debugging
msg = "\n"
for key, value in zip(keys, keys_match_found):
msg += f"\t{key}: {value}\n"
msg += f"Available strings: {list_of_strings}\n"
# raise error
raise ValueError(
f"Not all regular expressions are matched! Please check that the regular expressions are correct: {msg}"
)
# return
return index_list, names_list
[文档]def resolve_matching_names_values(
data: dict[str, Any], list_of_strings: Sequence[str], preserve_order: bool = False
) -> tuple[list[int], list[str], list[Any]]:
"""Match a list of regular expressions in a dictionary against a list of strings and return
the matched indices, names, and values.
If the :attr:`preserve_order` is True, the ordering of the matched indices and names is the same as the order
of the provided list of strings. This means that the ordering is dictated by the order of the target strings
and not the order of the query regular expressions.
If the :attr:`preserve_order` is False, the ordering of the matched indices and names is the same as the order
of the provided list of query regular expressions.
For example, consider the dictionary is {"a|d|e": 1, "b|c": 2}, the list of strings is ['a', 'b', 'c', 'd', 'e'].
If :attr:`preserve_order` is False, then the function will return the indices of the matched strings, the
matched strings, and the values as: ([0, 1, 2, 3, 4], ['a', 'b', 'c', 'd', 'e'], [1, 2, 2, 1, 1]). When
:attr:`preserve_order` is True, it will return them as: ([0, 3, 4, 1, 2], ['a', 'd', 'e', 'b', 'c'], [1, 1, 1, 2, 2]).
Args:
data: A dictionary of regular expressions and values to match the strings in the list.
list_of_strings: A list of strings to match.
preserve_order: Whether to preserve the order of the query keys in the returned values. Defaults to False.
Returns:
A tuple of lists containing the matched indices, names, and values.
Raises:
TypeError: When the input argument :attr:`data` is not a dictionary.
ValueError: When multiple matches are found for a string in the dictionary.
ValueError: When not all regular expressions in the data keys are matched.
"""
# check valid input
if not isinstance(data, dict):
raise TypeError(f"Input argument `data` should be a dictionary. Received: {data}")
# find matching patterns
index_list = []
names_list = []
values_list = []
key_idx_list = []
# book-keeping to check that we always have a one-to-one mapping
# i.e. each target string should match only one regular expression
target_strings_match_found = [None for _ in range(len(list_of_strings))]
keys_match_found = [[] for _ in range(len(data))]
# loop over all target strings
for target_index, potential_match_string in enumerate(list_of_strings):
for key_index, (re_key, value) in enumerate(data.items()):
if re.fullmatch(re_key, potential_match_string):
# check if match already found
if target_strings_match_found[target_index]:
raise ValueError(
f"Multiple matches for '{potential_match_string}':"
f" '{target_strings_match_found[target_index]}' and '{re_key}'!"
)
# add to list
target_strings_match_found[target_index] = re_key
index_list.append(target_index)
names_list.append(potential_match_string)
values_list.append(value)
key_idx_list.append(key_index)
# add for regex key
keys_match_found[key_index].append(potential_match_string)
# reorder keys if they should be returned in order of the query keys
if preserve_order:
reordered_index_list = [None] * len(index_list)
global_index = 0
for key_index in range(len(data)):
for key_idx_position, key_idx_entry in enumerate(key_idx_list):
if key_idx_entry == key_index:
reordered_index_list[key_idx_position] = global_index
global_index += 1
# reorder index and names list
index_list_reorder = [None] * len(index_list)
names_list_reorder = [None] * len(index_list)
values_list_reorder = [None] * len(index_list)
for idx, reorder_idx in enumerate(reordered_index_list):
index_list_reorder[reorder_idx] = index_list[idx]
names_list_reorder[reorder_idx] = names_list[idx]
values_list_reorder[reorder_idx] = values_list[idx]
# update
index_list = index_list_reorder
names_list = names_list_reorder
values_list = values_list_reorder
# check that all regular expressions are matched
if not all(keys_match_found):
# make this print nicely aligned for debugging
msg = "\n"
for key, value in zip(data.keys(), keys_match_found):
msg += f"\t{key}: {value}\n"
msg += f"Available strings: {list_of_strings}\n"
# raise error
raise ValueError(
f"Not all regular expressions are matched! Please check that the regular expressions are correct: {msg}"
)
# return
return index_list, names_list, values_list
