micromamba_root/Lib/site-packages/black/handle_ipynb_magics.py

"""Functions to process IPython magics with."""

import ast
import collections
import dataclasses
import re
import secrets
from functools import lru_cache
from importlib.util import find_spec
from typing import TypeGuard

from black.mode import Mode
from black.output import out
from black.report import NothingChanged

TRANSFORMED_MAGICS = frozenset((
    "get_ipython().run_cell_magic",
    "get_ipython().system",
    "get_ipython().getoutput",
    "get_ipython().run_line_magic",
))
TOKENS_TO_IGNORE = frozenset((
    "ENDMARKER",
    "NL",
    "NEWLINE",
    "COMMENT",
    "DEDENT",
    "UNIMPORTANT_WS",
    "ESCAPED_NL",
))
PYTHON_CELL_MAGICS = frozenset((
    "capture",
    "prun",
    "pypy",
    "python",
    "python3",
    "time",
    "timeit",
))


@dataclasses.dataclass(frozen=True)
class Replacement:
    mask: str
    src: str


@lru_cache
def jupyter_dependencies_are_installed(*, warn: bool) -> bool:
    installed = (
        find_spec("tokenize_rt") is not None and find_spec("IPython") is not None
    )
    if not installed and warn:
        msg = (
            "Skipping .ipynb files as Jupyter dependencies are not installed.\n"
            'You can fix this by running ``pip install "black[jupyter]"``'
        )
        out(msg)
    return installed


def validate_cell(src: str, mode: Mode) -> None:
    r"""Check that cell does not already contain TransformerManager transformations,
    or non-Python cell magics, which might cause tokenizer_rt to break because of
    indentations.

    If a cell contains ``!ls``, then it'll be transformed to
    ``get_ipython().system('ls')``. However, if the cell originally contained
    ``get_ipython().system('ls')``, then it would get transformed in the same way:

        >>> TransformerManager().transform_cell("get_ipython().system('ls')")
        "get_ipython().system('ls')\n"
        >>> TransformerManager().transform_cell("!ls")
        "get_ipython().system('ls')\n"

    Due to the impossibility of safely roundtripping in such situations, cells
    containing transformed magics will be ignored.
    """
    if any(transformed_magic in src for transformed_magic in TRANSFORMED_MAGICS):
        raise NothingChanged

    line = _get_code_start(src)
    if line.startswith("%%") and (
        line.split(maxsplit=1)[0][2:]
        not in PYTHON_CELL_MAGICS | mode.python_cell_magics
    ):
        raise NothingChanged


def remove_trailing_semicolon(src: str) -> tuple[str, bool]:
    """Remove trailing semicolon from Jupyter notebook cell.

    For example,

        fig, ax = plt.subplots()
        ax.plot(x_data, y_data);  # plot data

    would become

        fig, ax = plt.subplots()
        ax.plot(x_data, y_data)  # plot data

    Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
    ``tokenize_rt`` so that round-tripping works fine.
    """
    from tokenize_rt import reversed_enumerate, src_to_tokens, tokens_to_src

    tokens = src_to_tokens(src)
    trailing_semicolon = False
    for idx, token in reversed_enumerate(tokens):
        if token.name in TOKENS_TO_IGNORE:
            continue
        if token.name == "OP" and token.src == ";":
            del tokens[idx]
            trailing_semicolon = True
        break
    if not trailing_semicolon:
        return src, False
    return tokens_to_src(tokens), True


def put_trailing_semicolon_back(src: str, has_trailing_semicolon: bool) -> str:
    """Put trailing semicolon back if cell originally had it.

    Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
    ``tokenize_rt`` so that round-tripping works fine.
    """
    if not has_trailing_semicolon:
        return src
    from tokenize_rt import reversed_enumerate, src_to_tokens, tokens_to_src

    tokens = src_to_tokens(src)
    for idx, token in reversed_enumerate(tokens):
        if token.name in TOKENS_TO_IGNORE:
            continue
        tokens[idx] = token._replace(src=token.src + ";")
        break
    else:  # pragma: nocover
        raise AssertionError(
            "INTERNAL ERROR: Was not able to reinstate trailing semicolon. "
            "Please report a bug on https://github.com/psf/black/issues.  "
        ) from None
    return str(tokens_to_src(tokens))


def mask_cell(src: str) -> tuple[str, list[Replacement]]:
    """Mask IPython magics so content becomes parseable Python code.

    For example,

        %matplotlib inline
        'foo'

    becomes

        b"25716f358c32750"
        'foo'

    The replacements are returned, along with the transformed code.
    """
    replacements: list[Replacement] = []
    try:
        ast.parse(src)
    except SyntaxError:
        # Might have IPython magics, will process below.
        pass
    else:
        # Syntax is fine, nothing to mask, early return.
        return src, replacements

    from IPython.core.inputtransformer2 import TransformerManager

    transformer_manager = TransformerManager()
    # A side effect of the following transformation is that it also removes any
    # empty lines at the beginning of the cell.
    transformed = transformer_manager.transform_cell(src)
    transformed, cell_magic_replacements = replace_cell_magics(transformed)
    replacements += cell_magic_replacements
    transformed = transformer_manager.transform_cell(transformed)
    transformed, magic_replacements = replace_magics(transformed)
    if len(transformed.strip().splitlines()) != len(src.strip().splitlines()):
        # Multi-line magic, not supported.
        raise NothingChanged
    replacements += magic_replacements
    return transformed, replacements


def create_token(n_chars: int) -> str:
    """Create a randomly generated token that is n_chars characters long."""
    assert n_chars > 0
    n_bytes = max(n_chars // 2 - 1, 1)
    token = secrets.token_hex(n_bytes)
    if len(token) + 3 > n_chars:
        token = token[:-1]
    # We use a bytestring so that the string does not get interpreted
    # as a docstring.
    return f'b"{token}"'


def get_token(src: str, magic: str) -> str:
    """Return randomly generated token to mask IPython magic with.

    For example, if 'magic' was `%matplotlib inline`, then a possible
    token to mask it with would be `"43fdd17f7e5ddc83"`. The token
    will be the same length as the magic, and we make sure that it was
    not already present anywhere else in the cell.
    """
    assert magic
    n_chars = len(magic)
    token = create_token(n_chars)
    counter = 0
    while token in src:
        token = create_token(n_chars)
        counter += 1
        if counter > 100:
            raise AssertionError(
                "INTERNAL ERROR: Black was not able to replace IPython magic. "
                "Please report a bug on https://github.com/psf/black/issues.  "
                f"The magic might be helpful: {magic}"
            ) from None
    return token


def replace_cell_magics(src: str) -> tuple[str, list[Replacement]]:
    r"""Replace cell magic with token.

    Note that 'src' will already have been processed by IPython's
    TransformerManager().transform_cell.

    Example,

        get_ipython().run_cell_magic('t', '-n1', 'ls =!ls\n')

    becomes

        "a794."
        ls =!ls

    The replacement, along with the transformed code, is returned.
    """
    replacements: list[Replacement] = []

    tree = ast.parse(src)

    cell_magic_finder = CellMagicFinder()
    cell_magic_finder.visit(tree)
    if cell_magic_finder.cell_magic is None:
        return src, replacements
    header = cell_magic_finder.cell_magic.header
    mask = get_token(src, header)
    replacements.append(Replacement(mask=mask, src=header))
    return f"{mask}\n{cell_magic_finder.cell_magic.body}", replacements


def replace_magics(src: str) -> tuple[str, list[Replacement]]:
    """Replace magics within body of cell.

    Note that 'src' will already have been processed by IPython's
    TransformerManager().transform_cell.

    Example, this

        get_ipython().run_line_magic('matplotlib', 'inline')
        'foo'

    becomes

        "5e67db56d490fd39"
        'foo'

    The replacement, along with the transformed code, are returned.
    """
    replacements = []
    magic_finder = MagicFinder()
    magic_finder.visit(ast.parse(src))
    new_srcs = []
    for i, line in enumerate(src.split("\n"), start=1):
        if i in magic_finder.magics:
            offsets_and_magics = magic_finder.magics[i]
            if len(offsets_and_magics) != 1:  # pragma: nocover
                raise AssertionError(
                    f"Expecting one magic per line, got: {offsets_and_magics}\n"
                    "Please report a bug on https://github.com/psf/black/issues."
                )
            col_offset, magic = (
                offsets_and_magics[0].col_offset,
                offsets_and_magics[0].magic,
            )
            mask = get_token(src, magic)
            replacements.append(Replacement(mask=mask, src=magic))
            line = line[:col_offset] + mask
        new_srcs.append(line)
    return "\n".join(new_srcs), replacements


def unmask_cell(src: str, replacements: list[Replacement]) -> str:
    """Remove replacements from cell.

    For example

        "9b20"
        foo = bar

    becomes

        %%time
        foo = bar
    """
    for replacement in replacements:
        src = src.replace(replacement.mask, replacement.src)
    return src


def _get_code_start(src: str) -> str:
    """Provides the first line where the code starts.

    Iterates over lines of code until it finds the first line that doesn't
    contain only empty spaces and comments. It removes any empty spaces at the
    start of the line and returns it. If such line doesn't exist, it returns an
    empty string.
    """
    for match in re.finditer(".+", src):
        line = match.group(0).lstrip()
        if line and not line.startswith("#"):
            return line
    return ""


def _is_ipython_magic(node: ast.expr) -> TypeGuard[ast.Attribute]:
    """Check if attribute is IPython magic.

    Note that the source of the abstract syntax tree
    will already have been processed by IPython's
    TransformerManager().transform_cell.
    """
    return (
        isinstance(node, ast.Attribute)
        and isinstance(node.value, ast.Call)
        and isinstance(node.value.func, ast.Name)
        and node.value.func.id == "get_ipython"
    )


def _get_str_args(args: list[ast.expr]) -> list[str]:
    str_args = []
    for arg in args:
        assert isinstance(arg, ast.Constant) and isinstance(arg.value, str)
        str_args.append(arg.value)
    return str_args


@dataclasses.dataclass(frozen=True)
class CellMagic:
    name: str
    params: str | None
    body: str

    @property
    def header(self) -> str:
        if self.params:
            return f"%%{self.name} {self.params}"
        return f"%%{self.name}"


# ast.NodeVisitor + dataclass = breakage under mypyc.
class CellMagicFinder(ast.NodeVisitor):
    r"""Find cell magics.

    Note that the source of the abstract syntax tree
    will already have been processed by IPython's
    TransformerManager().transform_cell.

    For example,

        %%time\n
        foo()

    would have been transformed to

        get_ipython().run_cell_magic('time', '', 'foo()\n')

    and we look for instances of the latter.
    """

    def __init__(self, cell_magic: CellMagic | None = None) -> None:
        self.cell_magic = cell_magic

    def visit_Expr(self, node: ast.Expr) -> None:
        """Find cell magic, extract header and body."""
        if (
            isinstance(node.value, ast.Call)
            and _is_ipython_magic(node.value.func)
            and node.value.func.attr == "run_cell_magic"
        ):
            args = _get_str_args(node.value.args)
            self.cell_magic = CellMagic(name=args[0], params=args[1], body=args[2])
        self.generic_visit(node)


@dataclasses.dataclass(frozen=True)
class OffsetAndMagic:
    col_offset: int
    magic: str


# Unsurprisingly, subclassing ast.NodeVisitor means we can't use dataclasses here
# as mypyc will generate broken code.
class MagicFinder(ast.NodeVisitor):
    """Visit cell to look for get_ipython calls.

    Note that the source of the abstract syntax tree
    will already have been processed by IPython's
    TransformerManager().transform_cell.

    For example,

        %matplotlib inline

    would have been transformed to

        get_ipython().run_line_magic('matplotlib', 'inline')

    and we look for instances of the latter (and likewise for other
    types of magics).
    """

    def __init__(self) -> None:
        self.magics: dict[int, list[OffsetAndMagic]] = collections.defaultdict(list)

    def visit_Assign(self, node: ast.Assign) -> None:
        """Look for system assign magics.

        For example,

            black_version = !black --version
            env = %env var

        would have been (respectively) transformed to

            black_version = get_ipython().getoutput('black --version')
            env = get_ipython().run_line_magic('env', 'var')

        and we look for instances of any of the latter.
        """
        if isinstance(node.value, ast.Call) and _is_ipython_magic(node.value.func):
            args = _get_str_args(node.value.args)
            if node.value.func.attr == "getoutput":
                src = f"!{args[0]}"
            elif node.value.func.attr == "run_line_magic":
                src = f"%{args[0]}"
                if args[1]:
                    src += f" {args[1]}"
            else:
                raise AssertionError(
                    f"Unexpected IPython magic {node.value.func.attr!r} found. "
                    "Please report a bug on https://github.com/psf/black/issues."
                ) from None
            self.magics[node.value.lineno].append(
                OffsetAndMagic(node.value.col_offset, src)
            )
        self.generic_visit(node)

    def visit_Expr(self, node: ast.Expr) -> None:
        """Look for magics in body of cell.

        For examples,

            !ls
            !!ls
            ?ls
            ??ls

        would (respectively) get transformed to

            get_ipython().system('ls')
            get_ipython().getoutput('ls')
            get_ipython().run_line_magic('pinfo', 'ls')
            get_ipython().run_line_magic('pinfo2', 'ls')

        and we look for instances of any of the latter.
        """
        if isinstance(node.value, ast.Call) and _is_ipython_magic(node.value.func):
            args = _get_str_args(node.value.args)
            if node.value.func.attr == "run_line_magic":
                if args[0] == "pinfo":
                    src = f"?{args[1]}"
                elif args[0] == "pinfo2":
                    src = f"??{args[1]}"
                else:
                    src = f"%{args[0]}"
                    if args[1]:
                        src += f" {args[1]}"
            elif node.value.func.attr == "system":
                src = f"!{args[0]}"
            elif node.value.func.attr == "getoutput":
                src = f"!!{args[0]}"
            else:
                raise NothingChanged  # unsupported magic.
            self.magics[node.value.lineno].append(
                OffsetAndMagic(node.value.col_offset, src)
            )
        self.generic_visit(node)