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Scripts_RSCM_sim_growth_n_climate_to_Yield/.venv/lib/python3.10/site-packages/kiwisolver/__init__.py

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+# --------------------------------------------------------------------------------------
+# Copyright (c) 2013-2024, Nucleic Development Team.
+#
+# Distributed under the terms of the Modified BSD License.
+#
+# The full license is in the file LICENSE, distributed with this software.
+# --------------------------------------------------------------------------------------
+from ._cext import (
+    Constraint,
+    Expression,
+    Solver,
+    Term,
+    Variable,
+    __kiwi_version__,
+    __version__,
+    strength,
+)
+from .exceptions import (
+    BadRequiredStrength,
+    DuplicateConstraint,
+    DuplicateEditVariable,
+    UnknownConstraint,
+    UnknownEditVariable,
+    UnsatisfiableConstraint,
+)
+
+__all__ = [
+    "BadRequiredStrength",
+    "Constraint",
+    "DuplicateConstraint",
+    "DuplicateEditVariable",
+    "Expression",
+    "Solver",
+    "Term",
+    "UnknownConstraint",
+    "UnknownEditVariable",
+    "UnsatisfiableConstraint",
+    "Variable",
+    "__kiwi_version__",
+    "__version__",
+    "strength",
+]

Scripts_RSCM_sim_growth_n_climate_to_Yield/.venv/lib/python3.10/site-packages/kiwisolver/_cext.pyi

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+# --------------------------------------------------------------------------------------
+# Copyright (c) 2021-2024, Nucleic Development Team.
+#
+# Distributed under the terms of the Modified BSD License.
+#
+# The full license is in the file LICENSE, distributed with this software.
+# --------------------------------------------------------------------------------------
+
+from typing import Any, Iterable, NoReturn, Tuple, type_check_only
+
+try:
+    from typing import Literal
+except ImportError:
+    from typing_extensions import Literal  # type: ignore
+
+__version__: str
+__kiwi_version__: str
+
+# Types
+@type_check_only
+class Strength:
+    @property
+    def weak(self) -> float: ...
+    @property
+    def medium(self) -> float: ...
+    @property
+    def strong(self) -> float: ...
+    @property
+    def required(self) -> float: ...
+    def create(
+        self,
+        a: int | float,
+        b: int | float,
+        c: int | float,
+        weight: int | float = 1.0,
+        /,
+    ) -> float: ...
+
+# This is meant as a singleton and users should not access the Strength type.
+strength: Strength
+
+class Variable:
+    """Variable to express a constraint in a solver."""
+
+    __hash__: None  # type: ignore
+    def __init__(self, name: str = "", context: Any = None, /) -> None: ...
+    def name(self) -> str:
+        """Get the name of the variable."""
+        ...
+    def setName(self, name: str, /) -> Any:
+        """Set the name of the variable."""
+        ...
+    def value(self) -> float:
+        """Get the current value of the variable."""
+        ...
+    def context(self) -> Any:
+        """Get the context object associated with the variable."""
+        ...
+    def setContext(self, context: Any, /) -> Any:
+        """Set the context object associated with the variable."""
+        ...
+    def __neg__(self) -> Term: ...
+    def __add__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __radd__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __sub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __rsub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __mul__(self, other: float) -> Term: ...
+    def __rmul__(self, other: float) -> Term: ...
+    def __truediv__(self, other: float) -> Term: ...
+    def __rtruediv__(self, other: float) -> Term: ...
+    def __eq__(self, other: float | Variable | Term | Expression) -> Constraint: ...  # type: ignore
+    def __ge__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __le__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __ne__(self, other: Any) -> NoReturn: ...
+    def __gt__(self, other: Any) -> NoReturn: ...
+    def __lt__(self, other: Any) -> NoReturn: ...
+
+class Term:
+    """Product of a variable by a constant pre-factor."""
+
+    __hash__: None  # type: ignore
+    def __init__(
+        self, variable: Variable, coefficient: int | float = 1.0, /
+    ) -> None: ...
+    def coefficient(self) -> float:
+        """Get the coefficient for the term."""
+        ...
+    def variable(self) -> Variable:
+        """Get the variable for the term."""
+        ...
+    def value(self) -> float:
+        """Get the value for the term."""
+        ...
+    def __neg__(self) -> Term: ...
+    def __add__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __radd__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __sub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __rsub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __mul__(self, other: float) -> Term: ...
+    def __rmul__(self, other: float) -> Term: ...
+    def __truediv__(self, other: float) -> Term: ...
+    def __rtruediv__(self, other: float) -> Term: ...
+    def __eq__(self, other: float | Variable | Term | Expression) -> Constraint: ...  # type: ignore
+    def __ge__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __le__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __ne__(self, other: Any) -> NoReturn: ...
+    def __gt__(self, other: Any) -> NoReturn: ...
+    def __lt__(self, other: Any) -> NoReturn: ...
+
+class Expression:
+    """Sum of terms and an additional constant."""
+
+    __hash__: None  # type: ignore
+    def __init__(
+        self, terms: Iterable[Term], constant: int | float = 0.0, /
+    ) -> None: ...
+    def constant(self) -> float:
+        "" "Get the constant for the expression." ""
+        ...
+    def terms(self) -> Tuple[Term, ...]:
+        """Get the tuple of terms for the expression."""
+        ...
+    def value(self) -> float:
+        """Get the value for the expression."""
+        ...
+    def __neg__(self) -> Expression: ...
+    def __add__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __radd__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __sub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __rsub__(self, other: float | Variable | Term | Expression) -> Expression: ...
+    def __mul__(self, other: float) -> Expression: ...
+    def __rmul__(self, other: float) -> Expression: ...
+    def __truediv__(self, other: float) -> Expression: ...
+    def __rtruediv__(self, other: float) -> Expression: ...
+    def __eq__(self, other: float | Variable | Term | Expression) -> Constraint: ...  # type: ignore
+    def __ge__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __le__(self, other: float | Variable | Term | Expression) -> Constraint: ...
+    def __ne__(self, other: Any) -> NoReturn: ...
+    def __gt__(self, other: Any) -> NoReturn: ...
+    def __lt__(self, other: Any) -> NoReturn: ...
+
+class Constraint:
+    def __init__(
+        self,
+        expression: Expression,
+        op: Literal["=="] | Literal["<="] | Literal[">="],
+        strength: float
+        | Literal["weak"]
+        | Literal["medium"]
+        | Literal["strong"]
+        | Literal["required"] = "required",
+        /,
+    ) -> None: ...
+    def expression(self) -> Expression:
+        """Get the expression object for the constraint."""
+        ...
+    def op(self) -> Literal["=="] | Literal["<="] | Literal[">="]:
+        """Get the relational operator for the constraint."""
+        ...
+    def strength(self) -> float:
+        """Get the strength for the constraint."""
+        ...
+    def violated(self) -> bool:
+        """Indicate if the constraint is violated in teh current state of the solver."""
+        ...
+    def __or__(
+        self,
+        other: float
+        | Literal["weak"]
+        | Literal["medium"]
+        | Literal["strong"]
+        | Literal["required"],
+    ) -> Constraint: ...
+    def __ror__(
+        self,
+        other: float
+        | Literal["weak"]
+        | Literal["medium"]
+        | Literal["strong"]
+        | Literal["required"],
+    ) -> Constraint: ...
+
+class Solver:
+    """Kiwi solver class."""
+
+    def __init__(self) -> None: ...
+    def addConstraint(self, constraint: Constraint, /) -> None:
+        """Add a constraint to the solver."""
+        ...
+    def removeConstraint(self, constraint: Constraint, /) -> None:
+        """Remove a constraint from the solver."""
+        ...
+    def hasConstraint(self, constraint: Constraint, /) -> bool:
+        """Check whether the solver contains a constraint."""
+        ...
+    def addEditVariable(
+        self,
+        variable: Variable,
+        strength: float
+        | Literal["weak"]
+        | Literal["medium"]
+        | Literal["strong"]
+        | Literal["required"],
+        /,
+    ) -> None:
+        """Add an edit variable to the solver."""
+        ...
+    def removeEditVariable(self, variable: Variable, /) -> None:
+        """Remove an edit variable from the solver."""
+        ...
+    def hasEditVariable(self, variable: Variable, /) -> bool:
+        """Check whether the solver contains an edit variable."""
+        ...
+    def suggestValue(self, variable: Variable, value: int | float, /) -> None:
+        """Suggest a desired value for an edit variable."""
+        ...
+    def updateVariables(self) -> None:
+        """Update the values of the solver variables."""
+        ...
+    def reset(self) -> None:
+        """Reset the solver to the initial empty starting condition."""
+        ...
+    def dump(self) -> None:
+        """Dump a representation of the solver internals to stdout."""
+        ...
+    def dumps(self) -> str:
+        """Dump a representation of the solver internals to a string."""
+        ...

Scripts_RSCM_sim_growth_n_climate_to_Yield/.venv/lib/python3.10/site-packages/kiwisolver/exceptions.py

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+# --------------------------------------------------------------------------------------
+# Copyright (c) 2023-2024, Nucleic Development Team.
+#
+# Distributed under the terms of the Modified BSD License.
+#
+# The full license is in the file LICENSE, distributed with this software.
+# --------------------------------------------------------------------------------------
+"""Kiwi exceptions.
+
+Imported by the kiwisolver C extension.
+
+"""
+
+
+class BadRequiredStrength(Exception):
+    pass
+
+
+class DuplicateConstraint(Exception):
+    __slots__ = ("constraint",)
+
+    def __init__(self, constraint):
+        self.constraint = constraint
+
+
+class DuplicateEditVariable(Exception):
+    __slots__ = ("edit_variable",)
+
+    def __init__(self, edit_variable):
+        self.edit_variable = edit_variable
+
+
+class UnknownConstraint(Exception):
+    __slots__ = ("constraint",)
+
+    def __init__(self, constraint):
+        self.constraint = constraint
+
+
+class UnknownEditVariable(Exception):
+    __slots__ = ("edit_variable",)
+
+    def __init__(self, edit_variable):
+        self.edit_variable = edit_variable
+
+
+class UnsatisfiableConstraint(Exception):
+    __slots__ = ("constraint",)
+
+    def __init__(self, constraint):
+        self.constraint = constraint

Scripts_RSCM_sim_growth_n_climate_to_Yield/.venv/lib/python3.10/site-packages/matplotlib/__init__.py

@@ -0,0 +1,1576 @@
+"""
+An object-oriented plotting library.
+
+A procedural interface is provided by the companion pyplot module,
+which may be imported directly, e.g.::
+
+    import matplotlib.pyplot as plt
+
+or using ipython::
+
+    ipython
+
+at your terminal, followed by::
+
+    In [1]: %matplotlib
+    In [2]: import matplotlib.pyplot as plt
+
+at the ipython shell prompt.
+
+For the most part, direct use of the explicit object-oriented library is
+encouraged when programming; the implicit pyplot interface is primarily for
+working interactively. The exceptions to this suggestion are the pyplot
+functions `.pyplot.figure`, `.pyplot.subplot`, `.pyplot.subplots`, and
+`.pyplot.savefig`, which can greatly simplify scripting.  See
+:ref:`api_interfaces` for an explanation of the tradeoffs between the implicit
+and explicit interfaces.
+
+Modules include:
+
+:mod:`matplotlib.axes`
+    The `~.axes.Axes` class.  Most pyplot functions are wrappers for
+    `~.axes.Axes` methods.  The axes module is the highest level of OO
+    access to the library.
+
+:mod:`matplotlib.figure`
+    The `.Figure` class.
+
+:mod:`matplotlib.artist`
+    The `.Artist` base class for all classes that draw things.
+
+:mod:`matplotlib.lines`
+    The `.Line2D` class for drawing lines and markers.
+
+:mod:`matplotlib.patches`
+    Classes for drawing polygons.
+
+:mod:`matplotlib.text`
+    The `.Text` and `.Annotation` classes.
+
+:mod:`matplotlib.image`
+    The `.AxesImage` and `.FigureImage` classes.
+
+:mod:`matplotlib.collections`
+    Classes for efficient drawing of groups of lines or polygons.
+
+:mod:`matplotlib.colors`
+    Color specifications and making colormaps.
+
+:mod:`matplotlib.cm`
+    Colormaps, and the `.ScalarMappable` mixin class for providing color
+    mapping functionality to other classes.
+
+:mod:`matplotlib.ticker`
+    Calculation of tick mark locations and formatting of tick labels.
+
+:mod:`matplotlib.backends`
+    A subpackage with modules for various GUI libraries and output formats.
+
+The base matplotlib namespace includes:
+
+`~matplotlib.rcParams`
+    Default configuration settings; their defaults may be overridden using
+    a :file:`matplotlibrc` file.
+
+`~matplotlib.use`
+    Setting the Matplotlib backend.  This should be called before any
+    figure is created, because it is not possible to switch between
+    different GUI backends after that.
+
+The following environment variables can be used to customize the behavior:
+
+:envvar:`MPLBACKEND`
+    This optional variable can be set to choose the Matplotlib backend. See
+    :ref:`what-is-a-backend`.
+
+:envvar:`MPLCONFIGDIR`
+    This is the directory used to store user customizations to
+    Matplotlib, as well as some caches to improve performance. If
+    :envvar:`MPLCONFIGDIR` is not defined, :file:`{HOME}/.config/matplotlib`
+    and :file:`{HOME}/.cache/matplotlib` are used on Linux, and
+    :file:`{HOME}/.matplotlib` on other platforms, if they are
+    writable. Otherwise, the Python standard library's `tempfile.gettempdir`
+    is used to find a base directory in which the :file:`matplotlib`
+    subdirectory is created.
+
+Matplotlib was initially written by John D. Hunter (1968-2012) and is now
+developed and maintained by a host of others.
+
+Occasionally the internal documentation (python docstrings) will refer
+to MATLAB®, a registered trademark of The MathWorks, Inc.
+
+"""
+
+__all__ = [
+    "__bibtex__",
+    "__version__",
+    "__version_info__",
+    "set_loglevel",
+    "ExecutableNotFoundError",
+    "get_configdir",
+    "get_cachedir",
+    "get_data_path",
+    "matplotlib_fname",
+    "MatplotlibDeprecationWarning",
+    "RcParams",
+    "rc_params",
+    "rc_params_from_file",
+    "rcParamsDefault",
+    "rcParams",
+    "rcParamsOrig",
+    "defaultParams",
+    "rc",
+    "rcdefaults",
+    "rc_file_defaults",
+    "rc_file",
+    "rc_context",
+    "use",
+    "get_backend",
+    "interactive",
+    "is_interactive",
+    "colormaps",
+    "multivar_colormaps",
+    "bivar_colormaps",
+    "color_sequences",
+]
+
+
+import atexit
+from collections import namedtuple
+from collections.abc import MutableMapping
+import contextlib
+import functools
+import importlib
+import inspect
+from inspect import Parameter
+import locale
+import logging
+import os
+from pathlib import Path
+import pprint
+import re
+import shutil
+import subprocess
+import sys
+import tempfile
+
+from packaging.version import parse as parse_version
+
+# cbook must import matplotlib only within function
+# definitions, so it is safe to import from it here.
+from . import _api, _version, cbook, _docstring, rcsetup
+from matplotlib._api import MatplotlibDeprecationWarning
+from matplotlib.rcsetup import cycler  # noqa: F401
+
+
+_log = logging.getLogger(__name__)
+
+__bibtex__ = r"""@Article{Hunter:2007,
+  Author    = {Hunter, J. D.},
+  Title     = {Matplotlib: A 2D graphics environment},
+  Journal   = {Computing in Science \& Engineering},
+  Volume    = {9},
+  Number    = {3},
+  Pages     = {90--95},
+  abstract  = {Matplotlib is a 2D graphics package used for Python
+  for application development, interactive scripting, and
+  publication-quality image generation across user
+  interfaces and operating systems.},
+  publisher = {IEEE COMPUTER SOC},
+  year      = 2007
+}"""
+
+# modelled after sys.version_info
+_VersionInfo = namedtuple('_VersionInfo',
+                          'major, minor, micro, releaselevel, serial')
+
+
+def _parse_to_version_info(version_str):
+    """
+    Parse a version string to a namedtuple analogous to sys.version_info.
+
+    See:
+    https://packaging.pypa.io/en/latest/version.html#packaging.version.parse
+    https://docs.python.org/3/library/sys.html#sys.version_info
+    """
+    v = parse_version(version_str)
+    if v.pre is None and v.post is None and v.dev is None:
+        return _VersionInfo(v.major, v.minor, v.micro, 'final', 0)
+    elif v.dev is not None:
+        return _VersionInfo(v.major, v.minor, v.micro, 'alpha', v.dev)
+    elif v.pre is not None:
+        releaselevel = {
+            'a': 'alpha',
+            'b': 'beta',
+            'rc': 'candidate'}.get(v.pre[0], 'alpha')
+        return _VersionInfo(v.major, v.minor, v.micro, releaselevel, v.pre[1])
+    else:
+        # fallback for v.post: guess-next-dev scheme from setuptools_scm
+        return _VersionInfo(v.major, v.minor, v.micro + 1, 'alpha', v.post)
+
+
+def _get_version():
+    """Return the version string used for __version__."""
+    # Only shell out to a git subprocess if really needed, i.e. when we are in
+    # a matplotlib git repo but not in a shallow clone, such as those used by
+    # CI, as the latter would trigger a warning from setuptools_scm.
+    root = Path(__file__).resolve().parents[2]
+    if ((root / ".matplotlib-repo").exists()
+            and (root / ".git").exists()
+            and not (root / ".git/shallow").exists()):
+        try:
+            import setuptools_scm
+        except ImportError:
+            pass
+        else:
+            return setuptools_scm.get_version(
+                root=root,
+                dist_name="matplotlib",
+                version_scheme="release-branch-semver",
+                local_scheme="node-and-date",
+                fallback_version=_version.version,
+            )
+    # Get the version from the _version.py file if not in repo or setuptools_scm is
+    # unavailable.
+    return _version.version
+
+
+@_api.caching_module_getattr
+class __getattr__:
+    __version__ = property(lambda self: _get_version())
+    __version_info__ = property(
+        lambda self: _parse_to_version_info(self.__version__))
+
+
+def _check_versions():
+
+    # Quickfix to ensure Microsoft Visual C++ redistributable
+    # DLLs are loaded before importing kiwisolver
+    from . import ft2font  # noqa: F401
+
+    for modname, minver in [
+            ("cycler", "0.10"),
+            ("dateutil", "2.7"),
+            ("kiwisolver", "1.3.1"),
+            ("numpy", "1.23"),
+            ("pyparsing", "2.3.1"),
+    ]:
+        module = importlib.import_module(modname)
+        if parse_version(module.__version__) < parse_version(minver):
+            raise ImportError(f"Matplotlib requires {modname}>={minver}; "
+                              f"you have {module.__version__}")
+
+
+_check_versions()
+
+
+# The decorator ensures this always returns the same handler (and it is only
+# attached once).
+@functools.cache
+def _ensure_handler():
+    """
+    The first time this function is called, attach a `StreamHandler` using the
+    same format as `logging.basicConfig` to the Matplotlib root logger.
+
+    Return this handler every time this function is called.
+    """
+    handler = logging.StreamHandler()
+    handler.setFormatter(logging.Formatter(logging.BASIC_FORMAT))
+    _log.addHandler(handler)
+    return handler
+
+
+def set_loglevel(level):
+    """
+    Configure Matplotlib's logging levels.
+
+    Matplotlib uses the standard library `logging` framework under the root
+    logger 'matplotlib'.  This is a helper function to:
+
+    - set Matplotlib's root logger level
+    - set the root logger handler's level, creating the handler
+      if it does not exist yet
+
+    Typically, one should call ``set_loglevel("info")`` or
+    ``set_loglevel("debug")`` to get additional debugging information.
+
+    Users or applications that are installing their own logging handlers
+    may want to directly manipulate ``logging.getLogger('matplotlib')`` rather
+    than use this function.
+
+    Parameters
+    ----------
+    level : {"notset", "debug", "info", "warning", "error", "critical"}
+        The log level of the handler.
+
+    Notes
+    -----
+    The first time this function is called, an additional handler is attached
+    to Matplotlib's root handler; this handler is reused every time and this
+    function simply manipulates the logger and handler's level.
+
+    """
+    _log.setLevel(level.upper())
+    _ensure_handler().setLevel(level.upper())
+
+
+def _logged_cached(fmt, func=None):
+    """
+    Decorator that logs a function's return value, and memoizes that value.
+
+    After ::
+
+        @_logged_cached(fmt)
+        def func(): ...
+
+    the first call to *func* will log its return value at the DEBUG level using
+    %-format string *fmt*, and memoize it; later calls to *func* will directly
+    return that value.
+    """
+    if func is None:  # Return the actual decorator.
+        return functools.partial(_logged_cached, fmt)
+
+    called = False
+    ret = None
+
+    @functools.wraps(func)
+    def wrapper(**kwargs):
+        nonlocal called, ret
+        if not called:
+            ret = func(**kwargs)
+            called = True
+            _log.debug(fmt, ret)
+        return ret
+
+    return wrapper
+
+
+_ExecInfo = namedtuple("_ExecInfo", "executable raw_version version")
+
+
+class ExecutableNotFoundError(FileNotFoundError):
+    """
+    Error raised when an executable that Matplotlib optionally
+    depends on can't be found.
+    """
+    pass
+
+
+@functools.cache
+def _get_executable_info(name):
+    """
+    Get the version of some executable that Matplotlib optionally depends on.
+
+    .. warning::
+       The list of executables that this function supports is set according to
+       Matplotlib's internal needs, and may change without notice.
+
+    Parameters
+    ----------
+    name : str
+        The executable to query.  The following values are currently supported:
+        "dvipng", "gs", "inkscape", "magick", "pdftocairo", "pdftops".  This
+        list is subject to change without notice.
+
+    Returns
+    -------
+    tuple
+        A namedtuple with fields ``executable`` (`str`) and ``version``
+        (`packaging.Version`, or ``None`` if the version cannot be determined).
+
+    Raises
+    ------
+    ExecutableNotFoundError
+        If the executable is not found or older than the oldest version
+        supported by Matplotlib.  For debugging purposes, it is also
+        possible to "hide" an executable from Matplotlib by adding it to the
+        :envvar:`_MPLHIDEEXECUTABLES` environment variable (a comma-separated
+        list), which must be set prior to any calls to this function.
+    ValueError
+        If the executable is not one that we know how to query.
+    """
+
+    def impl(args, regex, min_ver=None, ignore_exit_code=False):
+        # Execute the subprocess specified by args; capture stdout and stderr.
+        # Search for a regex match in the output; if the match succeeds, the
+        # first group of the match is the version.
+        # Return an _ExecInfo if the executable exists, and has a version of
+        # at least min_ver (if set); else, raise ExecutableNotFoundError.
+        try:
+            output = subprocess.check_output(
+                args, stderr=subprocess.STDOUT,
+                text=True, errors="replace")
+        except subprocess.CalledProcessError as _cpe:
+            if ignore_exit_code:
+                output = _cpe.output
+            else:
+                raise ExecutableNotFoundError(str(_cpe)) from _cpe
+        except OSError as _ose:
+            raise ExecutableNotFoundError(str(_ose)) from _ose
+        match = re.search(regex, output)
+        if match:
+            raw_version = match.group(1)
+            version = parse_version(raw_version)
+            if min_ver is not None and version < parse_version(min_ver):
+                raise ExecutableNotFoundError(
+                    f"You have {args[0]} version {version} but the minimum "
+                    f"version supported by Matplotlib is {min_ver}")
+            return _ExecInfo(args[0], raw_version, version)
+        else:
+            raise ExecutableNotFoundError(
+                f"Failed to determine the version of {args[0]} from "
+                f"{' '.join(args)}, which output {output}")
+
+    if name in os.environ.get("_MPLHIDEEXECUTABLES", "").split(","):
+        raise ExecutableNotFoundError(f"{name} was hidden")
+
+    if name == "dvipng":
+        return impl(["dvipng", "-version"], "(?m)^dvipng(?: .*)? (.+)", "1.6")
+    elif name == "gs":
+        execs = (["gswin32c", "gswin64c", "mgs", "gs"]  # "mgs" for miktex.
+                 if sys.platform == "win32" else
+                 ["gs"])
+        for e in execs:
+            try:
+                return impl([e, "--version"], "(.*)", "9")
+            except ExecutableNotFoundError:
+                pass
+        message = "Failed to find a Ghostscript installation"
+        raise ExecutableNotFoundError(message)
+    elif name == "inkscape":
+        try:
+            # Try headless option first (needed for Inkscape version < 1.0):
+            return impl(["inkscape", "--without-gui", "-V"],
+                        "Inkscape ([^ ]*)")
+        except ExecutableNotFoundError:
+            pass  # Suppress exception chaining.
+        # If --without-gui is not accepted, we may be using Inkscape >= 1.0 so
+        # try without it:
+        return impl(["inkscape", "-V"], "Inkscape ([^ ]*)")
+    elif name == "magick":
+        if sys.platform == "win32":
+            # Check the registry to avoid confusing ImageMagick's convert with
+            # Windows's builtin convert.exe.
+            import winreg
+            binpath = ""
+            for flag in [0, winreg.KEY_WOW64_32KEY, winreg.KEY_WOW64_64KEY]:
+                try:
+                    with winreg.OpenKeyEx(
+                            winreg.HKEY_LOCAL_MACHINE,
+                            r"Software\Imagemagick\Current",
+                            0, winreg.KEY_QUERY_VALUE | flag) as hkey:
+                        binpath = winreg.QueryValueEx(hkey, "BinPath")[0]
+                except OSError:
+                    pass
+            path = None
+            if binpath:
+                for name in ["convert.exe", "magick.exe"]:
+                    candidate = Path(binpath, name)
+                    if candidate.exists():
+                        path = str(candidate)
+                        break
+            if path is None:
+                raise ExecutableNotFoundError(
+                    "Failed to find an ImageMagick installation")
+        else:
+            path = "convert"
+        info = impl([path, "--version"], r"^Version: ImageMagick (\S*)")
+        if info.raw_version == "7.0.10-34":
+            # https://github.com/ImageMagick/ImageMagick/issues/2720
+            raise ExecutableNotFoundError(
+                f"You have ImageMagick {info.version}, which is unsupported")
+        return info
+    elif name == "pdftocairo":
+        return impl(["pdftocairo", "-v"], "pdftocairo version (.*)")
+    elif name == "pdftops":
+        info = impl(["pdftops", "-v"], "^pdftops version (.*)",
+                    ignore_exit_code=True)
+        if info and not (
+                3 <= info.version.major or
+                # poppler version numbers.
+                parse_version("0.9") <= info.version < parse_version("1.0")):
+            raise ExecutableNotFoundError(
+                f"You have pdftops version {info.version} but the minimum "
+                f"version supported by Matplotlib is 3.0")
+        return info
+    else:
+        raise ValueError(f"Unknown executable: {name!r}")
+
+
+def _get_xdg_config_dir():
+    """
+    Return the XDG configuration directory, according to the XDG base
+    directory spec:
+
+    https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
+    """
+    return os.environ.get('XDG_CONFIG_HOME') or str(Path.home() / ".config")
+
+
+def _get_xdg_cache_dir():
+    """
+    Return the XDG cache directory, according to the XDG base directory spec:
+
+    https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
+    """
+    return os.environ.get('XDG_CACHE_HOME') or str(Path.home() / ".cache")
+
+
+def _get_config_or_cache_dir(xdg_base_getter):
+    configdir = os.environ.get('MPLCONFIGDIR')
+    if configdir:
+        configdir = Path(configdir)
+    elif sys.platform.startswith(('linux', 'freebsd')):
+        # Only call _xdg_base_getter here so that MPLCONFIGDIR is tried first,
+        # as _xdg_base_getter can throw.
+        configdir = Path(xdg_base_getter(), "matplotlib")
+    else:
+        configdir = Path.home() / ".matplotlib"
+    # Resolve the path to handle potential issues with inaccessible symlinks.
+    configdir = configdir.resolve()
+    try:
+        configdir.mkdir(parents=True, exist_ok=True)
+    except OSError as exc:
+        _log.warning("mkdir -p failed for path %s: %s", configdir, exc)
+    else:
+        if os.access(str(configdir), os.W_OK) and configdir.is_dir():
+            return str(configdir)
+        _log.warning("%s is not a writable directory", configdir)
+    # If the config or cache directory cannot be created or is not a writable
+    # directory, create a temporary one.
+    try:
+        tmpdir = tempfile.mkdtemp(prefix="matplotlib-")
+    except OSError as exc:
+        raise OSError(
+            f"Matplotlib requires access to a writable cache directory, but there "
+            f"was an issue with the default path ({configdir}), and a temporary "
+            f"directory could not be created; set the MPLCONFIGDIR environment "
+            f"variable to a writable directory") from exc
+    os.environ["MPLCONFIGDIR"] = tmpdir
+    atexit.register(shutil.rmtree, tmpdir)
+    _log.warning(
+        "Matplotlib created a temporary cache directory at %s because there was "
+        "an issue with the default path (%s); it is highly recommended to set the "
+        "MPLCONFIGDIR environment variable to a writable directory, in particular to "
+        "speed up the import of Matplotlib and to better support multiprocessing.",
+        tmpdir, configdir)
+    return tmpdir
+
+
+@_logged_cached('CONFIGDIR=%s')
+def get_configdir():
+    """
+    Return the string path of the configuration directory.
+
+    The directory is chosen as follows:
+
+    1. If the MPLCONFIGDIR environment variable is supplied, choose that.
+    2. On Linux, follow the XDG specification and look first in
+       ``$XDG_CONFIG_HOME``, if defined, or ``$HOME/.config``.  On other
+       platforms, choose ``$HOME/.matplotlib``.
+    3. If the chosen directory exists and is writable, use that as the
+       configuration directory.
+    4. Else, create a temporary directory, and use it as the configuration
+       directory.
+    """
+    return _get_config_or_cache_dir(_get_xdg_config_dir)
+
+
+@_logged_cached('CACHEDIR=%s')
+def get_cachedir():
+    """
+    Return the string path of the cache directory.
+
+    The procedure used to find the directory is the same as for
+    `get_configdir`, except using ``$XDG_CACHE_HOME``/``$HOME/.cache`` instead.
+    """
+    return _get_config_or_cache_dir(_get_xdg_cache_dir)
+
+
+@_logged_cached('matplotlib data path: %s')
+def get_data_path():
+    """Return the path to Matplotlib data."""
+    return str(Path(__file__).with_name("mpl-data"))
+
+
+def matplotlib_fname():
+    """
+    Get the location of the config file.
+
+    The file location is determined in the following order
+
+    - ``$PWD/matplotlibrc``
+    - ``$MATPLOTLIBRC`` if it is not a directory
+    - ``$MATPLOTLIBRC/matplotlibrc``
+    - ``$MPLCONFIGDIR/matplotlibrc``
+    - On Linux,
+        - ``$XDG_CONFIG_HOME/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
+          is defined)
+        - or ``$HOME/.config/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
+          is not defined)
+    - On other platforms,
+      - ``$HOME/.matplotlib/matplotlibrc`` if ``$HOME`` is defined
+    - Lastly, it looks in ``$MATPLOTLIBDATA/matplotlibrc``, which should always
+      exist.
+    """
+
+    def gen_candidates():
+        # rely on down-stream code to make absolute.  This protects us
+        # from having to directly get the current working directory
+        # which can fail if the user has ended up with a cwd that is
+        # non-existent.
+        yield 'matplotlibrc'
+        try:
+            matplotlibrc = os.environ['MATPLOTLIBRC']
+        except KeyError:
+            pass
+        else:
+            yield matplotlibrc
+            yield os.path.join(matplotlibrc, 'matplotlibrc')
+        yield os.path.join(get_configdir(), 'matplotlibrc')
+        yield os.path.join(get_data_path(), 'matplotlibrc')
+
+    for fname in gen_candidates():
+        if os.path.exists(fname) and not os.path.isdir(fname):
+            return fname
+
+    raise RuntimeError("Could not find matplotlibrc file; your Matplotlib "
+                       "install is broken")
+
+
+# rcParams deprecated and automatically mapped to another key.
+# Values are tuples of (version, new_name, f_old2new, f_new2old).
+_deprecated_map = {}
+# rcParams deprecated; some can manually be mapped to another key.
+# Values are tuples of (version, new_name_or_None).
+_deprecated_ignore_map = {}
+# rcParams deprecated; can use None to suppress warnings; remain actually
+# listed in the rcParams.
+# Values are tuples of (version,)
+_deprecated_remain_as_none = {}
+
+
+@_docstring.Substitution(
+    "\n".join(map("- {}".format, sorted(rcsetup._validators, key=str.lower)))
+)
+class RcParams(MutableMapping, dict):
+    """
+    A dict-like key-value store for config parameters, including validation.
+
+    Validating functions are defined and associated with rc parameters in
+    :mod:`matplotlib.rcsetup`.
+
+    The list of rcParams is:
+
+    %s
+
+    See Also
+    --------
+    :ref:`customizing-with-matplotlibrc-files`
+    """
+
+    validate = rcsetup._validators
+
+    # validate values on the way in
+    def __init__(self, *args, **kwargs):
+        self.update(*args, **kwargs)
+
+    def _set(self, key, val):
+        """
+        Directly write data bypassing deprecation and validation logic.
+
+        Notes
+        -----
+        As end user or downstream library you almost always should use
+        ``rcParams[key] = val`` and not ``_set()``.
+
+        There are only very few special cases that need direct data access.
+        These cases previously used ``dict.__setitem__(rcParams, key, val)``,
+        which is now deprecated and replaced by ``rcParams._set(key, val)``.
+
+        Even though private, we guarantee API stability for ``rcParams._set``,
+        i.e. it is subject to Matplotlib's API and deprecation policy.
+
+        :meta public:
+        """
+        dict.__setitem__(self, key, val)
+
+    def _get(self, key):
+        """
+        Directly read data bypassing deprecation, backend and validation
+        logic.
+
+        Notes
+        -----
+        As end user or downstream library you almost always should use
+        ``val = rcParams[key]`` and not ``_get()``.
+
+        There are only very few special cases that need direct data access.
+        These cases previously used ``dict.__getitem__(rcParams, key, val)``,
+        which is now deprecated and replaced by ``rcParams._get(key)``.
+
+        Even though private, we guarantee API stability for ``rcParams._get``,
+        i.e. it is subject to Matplotlib's API and deprecation policy.
+
+        :meta public:
+        """
+        return dict.__getitem__(self, key)
+
+    def _update_raw(self, other_params):
+        """
+        Directly update the data from *other_params*, bypassing deprecation,
+        backend and validation logic on both sides.
+
+        This ``rcParams._update_raw(params)`` replaces the previous pattern
+        ``dict.update(rcParams, params)``.
+
+        Parameters
+        ----------
+        other_params : dict or `.RcParams`
+            The input mapping from which to update.
+        """
+        if isinstance(other_params, RcParams):
+            other_params = dict.items(other_params)
+        dict.update(self, other_params)
+
+    def _ensure_has_backend(self):
+        """
+        Ensure that a "backend" entry exists.
+
+        Normally, the default matplotlibrc file contains *no* entry for "backend" (the
+        corresponding line starts with ##, not #; we fill in _auto_backend_sentinel
+        in that case.  However, packagers can set a different default backend
+        (resulting in a normal `#backend: foo` line) in which case we should *not*
+        fill in _auto_backend_sentinel.
+        """
+        dict.setdefault(self, "backend", rcsetup._auto_backend_sentinel)
+
+    def __setitem__(self, key, val):
+        try:
+            if key in _deprecated_map:
+                version, alt_key, alt_val, inverse_alt = _deprecated_map[key]
+                _api.warn_deprecated(
+                    version, name=key, obj_type="rcparam", alternative=alt_key)
+                key = alt_key
+                val = alt_val(val)
+            elif key in _deprecated_remain_as_none and val is not None:
+                version, = _deprecated_remain_as_none[key]
+                _api.warn_deprecated(version, name=key, obj_type="rcparam")
+            elif key in _deprecated_ignore_map:
+                version, alt_key = _deprecated_ignore_map[key]
+                _api.warn_deprecated(
+                    version, name=key, obj_type="rcparam", alternative=alt_key)
+                return
+            elif key == 'backend':
+                if val is rcsetup._auto_backend_sentinel:
+                    if 'backend' in self:
+                        return
+            try:
+                cval = self.validate[key](val)
+            except ValueError as ve:
+                raise ValueError(f"Key {key}: {ve}") from None
+            self._set(key, cval)
+        except KeyError as err:
+            raise KeyError(
+                f"{key} is not a valid rc parameter (see rcParams.keys() for "
+                f"a list of valid parameters)") from err
+
+    def __getitem__(self, key):
+        if key in _deprecated_map:
+            version, alt_key, alt_val, inverse_alt = _deprecated_map[key]
+            _api.warn_deprecated(
+                version, name=key, obj_type="rcparam", alternative=alt_key)
+            return inverse_alt(self._get(alt_key))
+
+        elif key in _deprecated_ignore_map:
+            version, alt_key = _deprecated_ignore_map[key]
+            _api.warn_deprecated(
+                version, name=key, obj_type="rcparam", alternative=alt_key)
+            return self._get(alt_key) if alt_key else None
+
+        # In theory, this should only ever be used after the global rcParams
+        # has been set up, but better be safe e.g. in presence of breakpoints.
+        elif key == "backend" and self is globals().get("rcParams"):
+            val = self._get(key)
+            if val is rcsetup._auto_backend_sentinel:
+                from matplotlib import pyplot as plt
+                plt.switch_backend(rcsetup._auto_backend_sentinel)
+
+        return self._get(key)
+
+    def _get_backend_or_none(self):
+        """Get the requested backend, if any, without triggering resolution."""
+        backend = self._get("backend")
+        return None if backend is rcsetup._auto_backend_sentinel else backend
+
+    def __repr__(self):
+        class_name = self.__class__.__name__
+        indent = len(class_name) + 1
+        with _api.suppress_matplotlib_deprecation_warning():
+            repr_split = pprint.pformat(dict(self), indent=1,
+                                        width=80 - indent).split('\n')
+        repr_indented = ('\n' + ' ' * indent).join(repr_split)
+        return f'{class_name}({repr_indented})'
+
+    def __str__(self):
+        return '\n'.join(map('{0[0]}: {0[1]}'.format, sorted(self.items())))
+
+    def __iter__(self):
+        """Yield sorted list of keys."""
+        with _api.suppress_matplotlib_deprecation_warning():
+            yield from sorted(dict.__iter__(self))
+
+    def __len__(self):
+        return dict.__len__(self)
+
+    def find_all(self, pattern):
+        """
+        Return the subset of this RcParams dictionary whose keys match,
+        using :func:`re.search`, the given ``pattern``.
+
+        .. note::
+
+            Changes to the returned dictionary are *not* propagated to
+            the parent RcParams dictionary.
+
+        """
+        pattern_re = re.compile(pattern)
+        return RcParams((key, value)
+                        for key, value in self.items()
+                        if pattern_re.search(key))
+
+    def copy(self):
+        """Copy this RcParams instance."""
+        rccopy = RcParams()
+        for k in self:  # Skip deprecations and revalidation.
+            rccopy._set(k, self._get(k))
+        return rccopy
+
+
+def rc_params(fail_on_error=False):
+    """Construct a `RcParams` instance from the default Matplotlib rc file."""
+    return rc_params_from_file(matplotlib_fname(), fail_on_error)
+
+
+@functools.cache
+def _get_ssl_context():
+    try:
+        import certifi
+    except ImportError:
+        _log.debug("Could not import certifi.")
+        return None
+    import ssl
+    return ssl.create_default_context(cafile=certifi.where())
+
+
+@contextlib.contextmanager
+def _open_file_or_url(fname):
+    if (isinstance(fname, str)
+            and fname.startswith(('http://', 'https://', 'ftp://', 'file:'))):
+        import urllib.request
+        ssl_ctx = _get_ssl_context()
+        if ssl_ctx is None:
+            _log.debug(
+                "Could not get certifi ssl context, https may not work."
+            )
+        with urllib.request.urlopen(fname, context=ssl_ctx) as f:
+            yield (line.decode('utf-8') for line in f)
+    else:
+        fname = os.path.expanduser(fname)
+        with open(fname, encoding='utf-8') as f:
+            yield f
+
+
+def _rc_params_in_file(fname, transform=lambda x: x, fail_on_error=False):
+    """
+    Construct a `RcParams` instance from file *fname*.
+
+    Unlike `rc_params_from_file`, the configuration class only contains the
+    parameters specified in the file (i.e. default values are not filled in).
+
+    Parameters
+    ----------
+    fname : path-like
+        The loaded file.
+    transform : callable, default: the identity function
+        A function called on each individual line of the file to transform it,
+        before further parsing.
+    fail_on_error : bool, default: False
+        Whether invalid entries should result in an exception or a warning.
+    """
+    import matplotlib as mpl
+    rc_temp = {}
+    with _open_file_or_url(fname) as fd:
+        try:
+            for line_no, line in enumerate(fd, 1):
+                line = transform(line)
+                strippedline = cbook._strip_comment(line)
+                if not strippedline:
+                    continue
+                tup = strippedline.split(':', 1)
+                if len(tup) != 2:
+                    _log.warning('Missing colon in file %r, line %d (%r)',
+                                 fname, line_no, line.rstrip('\n'))
+                    continue
+                key, val = tup
+                key = key.strip()
+                val = val.strip()
+                if val.startswith('"') and val.endswith('"'):
+                    val = val[1:-1]  # strip double quotes
+                if key in rc_temp:
+                    _log.warning('Duplicate key in file %r, line %d (%r)',
+                                 fname, line_no, line.rstrip('\n'))
+                rc_temp[key] = (val, line, line_no)
+        except UnicodeDecodeError:
+            _log.warning('Cannot decode configuration file %r as utf-8.',
+                         fname)
+            raise
+
+    config = RcParams()
+
+    for key, (val, line, line_no) in rc_temp.items():
+        if key in rcsetup._validators:
+            if fail_on_error:
+                config[key] = val  # try to convert to proper type or raise
+            else:
+                try:
+                    config[key] = val  # try to convert to proper type or skip
+                except Exception as msg:
+                    _log.warning('Bad value in file %r, line %d (%r): %s',
+                                 fname, line_no, line.rstrip('\n'), msg)
+        elif key in _deprecated_ignore_map:
+            version, alt_key = _deprecated_ignore_map[key]
+            _api.warn_deprecated(
+                version, name=key, alternative=alt_key, obj_type='rcparam',
+                addendum="Please update your matplotlibrc.")
+        else:
+            # __version__ must be looked up as an attribute to trigger the
+            # module-level __getattr__.
+            version = ('main' if '.post' in mpl.__version__
+                       else f'v{mpl.__version__}')
+            _log.warning("""
+Bad key %(key)s in file %(fname)s, line %(line_no)s (%(line)r)
+You probably need to get an updated matplotlibrc file from
+https://github.com/matplotlib/matplotlib/blob/%(version)s/lib/matplotlib/mpl-data/matplotlibrc
+or from the matplotlib source distribution""",
+                         dict(key=key, fname=fname, line_no=line_no,
+                              line=line.rstrip('\n'), version=version))
+    return config
+
+
+def rc_params_from_file(fname, fail_on_error=False, use_default_template=True):
+    """
+    Construct a `RcParams` from file *fname*.
+
+    Parameters
+    ----------
+    fname : str or path-like
+        A file with Matplotlib rc settings.
+    fail_on_error : bool
+        If True, raise an error when the parser fails to convert a parameter.
+    use_default_template : bool
+        If True, initialize with default parameters before updating with those
+        in the given file. If False, the configuration class only contains the
+        parameters specified in the file. (Useful for updating dicts.)
+    """
+    config_from_file = _rc_params_in_file(fname, fail_on_error=fail_on_error)
+
+    if not use_default_template:
+        return config_from_file
+
+    with _api.suppress_matplotlib_deprecation_warning():
+        config = RcParams({**rcParamsDefault, **config_from_file})
+
+    if "".join(config['text.latex.preamble']):
+        _log.info("""
+*****************************************************************
+You have the following UNSUPPORTED LaTeX preamble customizations:
+%s
+Please do not ask for support with these customizations active.
+*****************************************************************
+""", '\n'.join(config['text.latex.preamble']))
+    _log.debug('loaded rc file %s', fname)
+
+    return config
+
+
+rcParamsDefault = _rc_params_in_file(
+    cbook._get_data_path("matplotlibrc"),
+    # Strip leading comment.
+    transform=lambda line: line[1:] if line.startswith("#") else line,
+    fail_on_error=True)
+rcParamsDefault._update_raw(rcsetup._hardcoded_defaults)
+rcParamsDefault._ensure_has_backend()
+
+rcParams = RcParams()  # The global instance.
+rcParams._update_raw(rcParamsDefault)
+rcParams._update_raw(_rc_params_in_file(matplotlib_fname()))
+rcParamsOrig = rcParams.copy()
+with _api.suppress_matplotlib_deprecation_warning():
+    # This also checks that all rcParams are indeed listed in the template.
+    # Assigning to rcsetup.defaultParams is left only for backcompat.
+    defaultParams = rcsetup.defaultParams = {
+        # We want to resolve deprecated rcParams, but not backend...
+        key: [(rcsetup._auto_backend_sentinel if key == "backend" else
+               rcParamsDefault[key]),
+              validator]
+        for key, validator in rcsetup._validators.items()}
+if rcParams['axes.formatter.use_locale']:
+    locale.setlocale(locale.LC_ALL, '')
+
+
+def rc(group, **kwargs):
+    """
+    Set the current `.rcParams`.  *group* is the grouping for the rc, e.g.,
+    for ``lines.linewidth`` the group is ``lines``, for
+    ``axes.facecolor``, the group is ``axes``, and so on.  Group may
+    also be a list or tuple of group names, e.g., (*xtick*, *ytick*).
+    *kwargs* is a dictionary attribute name/value pairs, e.g.,::
+
+      rc('lines', linewidth=2, color='r')
+
+    sets the current `.rcParams` and is equivalent to::
+
+      rcParams['lines.linewidth'] = 2
+      rcParams['lines.color'] = 'r'
+
+    The following aliases are available to save typing for interactive users:
+
+    =====   =================
+    Alias   Property
+    =====   =================
+    'lw'    'linewidth'
+    'ls'    'linestyle'
+    'c'     'color'
+    'fc'    'facecolor'
+    'ec'    'edgecolor'
+    'mew'   'markeredgewidth'
+    'aa'    'antialiased'
+    =====   =================
+
+    Thus you could abbreviate the above call as::
+
+          rc('lines', lw=2, c='r')
+
+    Note you can use python's kwargs dictionary facility to store
+    dictionaries of default parameters.  e.g., you can customize the
+    font rc as follows::
+
+      font = {'family' : 'monospace',
+              'weight' : 'bold',
+              'size'   : 'larger'}
+      rc('font', **font)  # pass in the font dict as kwargs
+
+    This enables you to easily switch between several configurations.  Use
+    ``matplotlib.style.use('default')`` or :func:`~matplotlib.rcdefaults` to
+    restore the default `.rcParams` after changes.
+
+    Notes
+    -----
+    Similar functionality is available by using the normal dict interface, i.e.
+    ``rcParams.update({"lines.linewidth": 2, ...})`` (but ``rcParams.update``
+    does not support abbreviations or grouping).
+    """
+
+    aliases = {
+        'lw':  'linewidth',
+        'ls':  'linestyle',
+        'c':   'color',
+        'fc':  'facecolor',
+        'ec':  'edgecolor',
+        'mew': 'markeredgewidth',
+        'aa':  'antialiased',
+        }
+
+    if isinstance(group, str):
+        group = (group,)
+    for g in group:
+        for k, v in kwargs.items():
+            name = aliases.get(k) or k
+            key = f'{g}.{name}'
+            try:
+                rcParams[key] = v
+            except KeyError as err:
+                raise KeyError(('Unrecognized key "%s" for group "%s" and '
+                                'name "%s"') % (key, g, name)) from err
+
+
+def rcdefaults():
+    """
+    Restore the `.rcParams` from Matplotlib's internal default style.
+
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
+
+    See Also
+    --------
+    matplotlib.rc_file_defaults
+        Restore the `.rcParams` from the rc file originally loaded by
+        Matplotlib.
+    matplotlib.style.use
+        Use a specific style file.  Call ``style.use('default')`` to restore
+        the default style.
+    """
+    # Deprecation warnings were already handled when creating rcParamsDefault,
+    # no need to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rcParams.clear()
+        rcParams.update({k: v for k, v in rcParamsDefault.items()
+                         if k not in STYLE_BLACKLIST})
+
+
+def rc_file_defaults():
+    """
+    Restore the `.rcParams` from the original rc file loaded by Matplotlib.
+
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
+    """
+    # Deprecation warnings were already handled when creating rcParamsOrig, no
+    # need to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rcParams.update({k: rcParamsOrig[k] for k in rcParamsOrig
+                         if k not in STYLE_BLACKLIST})
+
+
+def rc_file(fname, *, use_default_template=True):
+    """
+    Update `.rcParams` from file.
+
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
+
+    Parameters
+    ----------
+    fname : str or path-like
+        A file with Matplotlib rc settings.
+
+    use_default_template : bool
+        If True, initialize with default parameters before updating with those
+        in the given file. If False, the current configuration persists
+        and only the parameters specified in the file are updated.
+    """
+    # Deprecation warnings were already handled in rc_params_from_file, no need
+    # to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rc_from_file = rc_params_from_file(
+            fname, use_default_template=use_default_template)
+        rcParams.update({k: rc_from_file[k] for k in rc_from_file
+                         if k not in STYLE_BLACKLIST})
+
+
+@contextlib.contextmanager
+def rc_context(rc=None, fname=None):
+    """
+    Return a context manager for temporarily changing rcParams.
+
+    The :rc:`backend` will not be reset by the context manager.
+
+    rcParams changed both through the context manager invocation and
+    in the body of the context will be reset on context exit.
+
+    Parameters
+    ----------
+    rc : dict
+        The rcParams to temporarily set.
+    fname : str or path-like
+        A file with Matplotlib rc settings. If both *fname* and *rc* are given,
+        settings from *rc* take precedence.
+
+    See Also
+    --------
+    :ref:`customizing-with-matplotlibrc-files`
+
+    Examples
+    --------
+    Passing explicit values via a dict::
+
+        with mpl.rc_context({'interactive': False}):
+            fig, ax = plt.subplots()
+            ax.plot(range(3), range(3))
+            fig.savefig('example.png')
+            plt.close(fig)
+
+    Loading settings from a file::
+
+         with mpl.rc_context(fname='print.rc'):
+             plt.plot(x, y)  # uses 'print.rc'
+
+    Setting in the context body::
+
+        with mpl.rc_context():
+            # will be reset
+            mpl.rcParams['lines.linewidth'] = 5
+            plt.plot(x, y)
+
+    """
+    orig = dict(rcParams.copy())
+    del orig['backend']
+    try:
+        if fname:
+            rc_file(fname)
+        if rc:
+            rcParams.update(rc)
+        yield
+    finally:
+        rcParams._update_raw(orig)  # Revert to the original rcs.
+
+
+def use(backend, *, force=True):
+    """
+    Select the backend used for rendering and GUI integration.
+
+    If pyplot is already imported, `~matplotlib.pyplot.switch_backend` is used
+    and if the new backend is different than the current backend, all Figures
+    will be closed.
+
+    Parameters
+    ----------
+    backend : str
+        The backend to switch to.  This can either be one of the standard
+        backend names, which are case-insensitive:
+
+        - interactive backends:
+          GTK3Agg, GTK3Cairo, GTK4Agg, GTK4Cairo, MacOSX, nbAgg, notebook, QtAgg,
+          QtCairo, TkAgg, TkCairo, WebAgg, WX, WXAgg, WXCairo, Qt5Agg, Qt5Cairo
+
+        - non-interactive backends:
+          agg, cairo, pdf, pgf, ps, svg, template
+
+        or a string of the form: ``module://my.module.name``.
+
+        notebook is a synonym for nbAgg.
+
+        Switching to an interactive backend is not possible if an unrelated
+        event loop has already been started (e.g., switching to GTK3Agg if a
+        TkAgg window has already been opened).  Switching to a non-interactive
+        backend is always possible.
+
+    force : bool, default: True
+        If True (the default), raise an `ImportError` if the backend cannot be
+        set up (either because it fails to import, or because an incompatible
+        GUI interactive framework is already running); if False, silently
+        ignore the failure.
+
+    See Also
+    --------
+    :ref:`backends`
+    matplotlib.get_backend
+    matplotlib.pyplot.switch_backend
+
+    """
+    name = rcsetup.validate_backend(backend)
+    # don't (prematurely) resolve the "auto" backend setting
+    if rcParams._get_backend_or_none() == name:
+        # Nothing to do if the requested backend is already set
+        pass
+    else:
+        # if pyplot is not already imported, do not import it.  Doing
+        # so may trigger a `plt.switch_backend` to the _default_ backend
+        # before we get a chance to change to the one the user just requested
+        plt = sys.modules.get('matplotlib.pyplot')
+        # if pyplot is imported, then try to change backends
+        if plt is not None:
+            try:
+                # we need this import check here to re-raise if the
+                # user does not have the libraries to support their
+                # chosen backend installed.
+                plt.switch_backend(name)
+            except ImportError:
+                if force:
+                    raise
+        # if we have not imported pyplot, then we can set the rcParam
+        # value which will be respected when the user finally imports
+        # pyplot
+        else:
+            rcParams['backend'] = backend
+    # if the user has asked for a given backend, do not helpfully
+    # fallback
+    rcParams['backend_fallback'] = False
+
+
+if os.environ.get('MPLBACKEND'):
+    rcParams['backend'] = os.environ.get('MPLBACKEND')
+
+
+def get_backend(*, auto_select=True):
+    """
+    Return the name of the current backend.
+
+    Parameters
+    ----------
+    auto_select : bool, default: True
+        Whether to trigger backend resolution if no backend has been
+        selected so far. If True, this ensures that a valid backend
+        is returned. If False, this returns None if no backend has been
+        selected so far.
+
+        .. versionadded:: 3.10
+
+        .. admonition:: Provisional
+
+           The *auto_select* flag is provisional. It may be changed or removed
+           without prior warning.
+
+    See Also
+    --------
+    matplotlib.use
+    """
+    if auto_select:
+        return rcParams['backend']
+    else:
+        backend = rcParams._get('backend')
+        if backend is rcsetup._auto_backend_sentinel:
+            return None
+        else:
+            return backend
+
+
+def interactive(b):
+    """
+    Set whether to redraw after every plotting command (e.g. `.pyplot.xlabel`).
+    """
+    rcParams['interactive'] = b
+
+
+def is_interactive():
+    """
+    Return whether to redraw after every plotting command.
+
+    .. note::
+
+        This function is only intended for use in backends. End users should
+        use `.pyplot.isinteractive` instead.
+    """
+    return rcParams['interactive']
+
+
+def _val_or_rc(val, rc_name):
+    """
+    If *val* is None, return ``mpl.rcParams[rc_name]``, otherwise return val.
+    """
+    return val if val is not None else rcParams[rc_name]
+
+
+def _init_tests():
+    # The version of FreeType to install locally for running the tests. This must match
+    # the value in `meson.build`.
+    LOCAL_FREETYPE_VERSION = '2.6.1'
+
+    from matplotlib import ft2font
+    if (ft2font.__freetype_version__ != LOCAL_FREETYPE_VERSION or
+            ft2font.__freetype_build_type__ != 'local'):
+        _log.warning(
+            "Matplotlib is not built with the correct FreeType version to run tests.  "
+            "Rebuild without setting system-freetype=true in Meson setup options.  "
+            "Expect many image comparison failures below.  "
+            "Expected freetype version %s.  "
+            "Found freetype version %s.  "
+            "Freetype build type is %slocal.",
+            LOCAL_FREETYPE_VERSION,
+            ft2font.__freetype_version__,
+            "" if ft2font.__freetype_build_type__ == 'local' else "not ")
+
+
+def _replacer(data, value):
+    """
+    Either returns ``data[value]`` or passes ``data`` back, converts either to
+    a sequence.
+    """
+    try:
+        # if key isn't a string don't bother
+        if isinstance(value, str):
+            # try to use __getitem__
+            value = data[value]
+    except Exception:
+        # key does not exist, silently fall back to key
+        pass
+    return cbook.sanitize_sequence(value)
+
+
+def _label_from_arg(y, default_name):
+    try:
+        return y.name
+    except AttributeError:
+        if isinstance(default_name, str):
+            return default_name
+    return None
+
+
+def _add_data_doc(docstring, replace_names):
+    """
+    Add documentation for a *data* field to the given docstring.
+
+    Parameters
+    ----------
+    docstring : str
+        The input docstring.
+    replace_names : list of str or None
+        The list of parameter names which arguments should be replaced by
+        ``data[name]`` (if ``data[name]`` does not throw an exception).  If
+        None, replacement is attempted for all arguments.
+
+    Returns
+    -------
+    str
+        The augmented docstring.
+    """
+    if (docstring is None
+            or replace_names is not None and len(replace_names) == 0):
+        return docstring
+    docstring = inspect.cleandoc(docstring)
+
+    data_doc = ("""\
+    If given, all parameters also accept a string ``s``, which is
+    interpreted as ``data[s]`` if ``s`` is a key in ``data``."""
+                if replace_names is None else f"""\
+    If given, the following parameters also accept a string ``s``, which is
+    interpreted as ``data[s]`` if ``s`` is a key in ``data``:
+
+    {', '.join(map('*{}*'.format, replace_names))}""")
+    # using string replacement instead of formatting has the advantages
+    # 1) simpler indent handling
+    # 2) prevent problems with formatting characters '{', '%' in the docstring
+    if _log.level <= logging.DEBUG:
+        # test_data_parameter_replacement() tests against these log messages
+        # make sure to keep message and test in sync
+        if "data : indexable object, optional" not in docstring:
+            _log.debug("data parameter docstring error: no data parameter")
+        if 'DATA_PARAMETER_PLACEHOLDER' not in docstring:
+            _log.debug("data parameter docstring error: missing placeholder")
+    return docstring.replace('    DATA_PARAMETER_PLACEHOLDER', data_doc)
+
+
+def _preprocess_data(func=None, *, replace_names=None, label_namer=None):
+    """
+    A decorator to add a 'data' kwarg to a function.
+
+    When applied::
+
+        @_preprocess_data()
+        def func(ax, *args, **kwargs): ...
+
+    the signature is modified to ``decorated(ax, *args, data=None, **kwargs)``
+    with the following behavior:
+
+    - if called with ``data=None``, forward the other arguments to ``func``;
+    - otherwise, *data* must be a mapping; for any argument passed in as a
+      string ``name``, replace the argument by ``data[name]`` (if this does not
+      throw an exception), then forward the arguments to ``func``.
+
+    In either case, any argument that is a `MappingView` is also converted to a
+    list.
+
+    Parameters
+    ----------
+    replace_names : list of str or None, default: None
+        The list of parameter names for which lookup into *data* should be
+        attempted. If None, replacement is attempted for all arguments.
+    label_namer : str, default: None
+        If set e.g. to "namer" (which must be a kwarg in the function's
+        signature -- not as ``**kwargs``), if the *namer* argument passed in is
+        a (string) key of *data* and no *label* kwarg is passed, then use the
+        (string) value of the *namer* as *label*. ::
+
+            @_preprocess_data(label_namer="foo")
+            def func(foo, label=None): ...
+
+            func("key", data={"key": value})
+            # is equivalent to
+            func.__wrapped__(value, label="key")
+    """
+
+    if func is None:  # Return the actual decorator.
+        return functools.partial(
+            _preprocess_data,
+            replace_names=replace_names, label_namer=label_namer)
+
+    sig = inspect.signature(func)
+    varargs_name = None
+    varkwargs_name = None
+    arg_names = []
+    params = list(sig.parameters.values())
+    for p in params:
+        if p.kind is Parameter.VAR_POSITIONAL:
+            varargs_name = p.name
+        elif p.kind is Parameter.VAR_KEYWORD:
+            varkwargs_name = p.name
+        else:
+            arg_names.append(p.name)
+    data_param = Parameter("data", Parameter.KEYWORD_ONLY, default=None)
+    if varkwargs_name:
+        params.insert(-1, data_param)
+    else:
+        params.append(data_param)
+    new_sig = sig.replace(parameters=params)
+    arg_names = arg_names[1:]  # remove the first "ax" / self arg
+
+    assert {*arg_names}.issuperset(replace_names or []) or varkwargs_name, (
+        "Matplotlib internal error: invalid replace_names "
+        f"({replace_names!r}) for {func.__name__!r}")
+    assert label_namer is None or label_namer in arg_names, (
+        "Matplotlib internal error: invalid label_namer "
+        f"({label_namer!r}) for {func.__name__!r}")
+
+    @functools.wraps(func)
+    def inner(ax, *args, data=None, **kwargs):
+        if data is None:
+            return func(
+                ax,
+                *map(cbook.sanitize_sequence, args),
+                **{k: cbook.sanitize_sequence(v) for k, v in kwargs.items()})
+
+        bound = new_sig.bind(ax, *args, **kwargs)
+        auto_label = (bound.arguments.get(label_namer)
+                      or bound.kwargs.get(label_namer))
+
+        for k, v in bound.arguments.items():
+            if k == varkwargs_name:
+                for k1, v1 in v.items():
+                    if replace_names is None or k1 in replace_names:
+                        v[k1] = _replacer(data, v1)
+            elif k == varargs_name:
+                if replace_names is None:
+                    bound.arguments[k] = tuple(_replacer(data, v1) for v1 in v)
+            else:
+                if replace_names is None or k in replace_names:
+                    bound.arguments[k] = _replacer(data, v)
+
+        new_args = bound.args
+        new_kwargs = bound.kwargs
+
+        args_and_kwargs = {**bound.arguments, **bound.kwargs}
+        if label_namer and "label" not in args_and_kwargs:
+            new_kwargs["label"] = _label_from_arg(
+                args_and_kwargs.get(label_namer), auto_label)
+
+        return func(*new_args, **new_kwargs)
+
+    inner.__doc__ = _add_data_doc(inner.__doc__, replace_names)
+    inner.__signature__ = new_sig
+    return inner
+
+
+_log.debug('interactive is %s', is_interactive())
+_log.debug('platform is %s', sys.platform)
+
+
+@_api.deprecated("3.10", alternative="matplotlib.cbook.sanitize_sequence")
+def sanitize_sequence(data):
+    return cbook.sanitize_sequence(data)
+
+
+@_api.deprecated("3.10", alternative="matplotlib.rcsetup.validate_backend")
+def validate_backend(s):
+    return rcsetup.validate_backend(s)
+
+
+# workaround: we must defer colormaps import to after loading rcParams, because
+# colormap creation depends on rcParams
+from matplotlib.cm import _colormaps as colormaps  # noqa: E402
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps  # noqa: E402
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps  # noqa: E402
+from matplotlib.colors import _color_sequences as color_sequences  # noqa: E402

Scripts_RSCM_sim_growth_n_climate_to_Yield/.venv/lib/python3.10/site-packages/matplotlib/__init__.pyi

@@ -0,0 +1,124 @@
+__all__ = [
+    "__bibtex__",
+    "__version__",
+    "__version_info__",
+    "set_loglevel",
+    "ExecutableNotFoundError",
+    "get_configdir",
+    "get_cachedir",
+    "get_data_path",
+    "matplotlib_fname",
+    "MatplotlibDeprecationWarning",
+    "RcParams",
+    "rc_params",
+    "rc_params_from_file",
+    "rcParamsDefault",
+    "rcParams",
+    "rcParamsOrig",
+    "defaultParams",
+    "rc",
+    "rcdefaults",
+    "rc_file_defaults",
+    "rc_file",
+    "rc_context",
+    "use",
+    "get_backend",
+    "interactive",
+    "is_interactive",
+    "colormaps",
+    "color_sequences",
+]
+
+import os
+from pathlib import Path
+
+from collections.abc import Callable, Generator
+import contextlib
+from packaging.version import Version
+
+from matplotlib._api import MatplotlibDeprecationWarning
+from typing import Any, Literal, NamedTuple, overload
+
+class _VersionInfo(NamedTuple):
+    major: int
+    minor: int
+    micro: int
+    releaselevel: str
+    serial: int
+
+__bibtex__: str
+__version__: str
+__version_info__: _VersionInfo
+
+def set_loglevel(level: str) -> None: ...
+
+class _ExecInfo(NamedTuple):
+    executable: str
+    raw_version: str
+    version: Version
+
+class ExecutableNotFoundError(FileNotFoundError): ...
+
+def _get_executable_info(name: str) -> _ExecInfo: ...
+def get_configdir() -> str: ...
+def get_cachedir() -> str: ...
+def get_data_path() -> str: ...
+def matplotlib_fname() -> str: ...
+
+class RcParams(dict[str, Any]):
+    validate: dict[str, Callable]
+    def __init__(self, *args, **kwargs) -> None: ...
+    def _set(self, key: str, val: Any) -> None: ...
+    def _get(self, key: str) -> Any: ...
+
+    def _update_raw(self, other_params: dict | RcParams) -> None: ...
+
+    def _ensure_has_backend(self) -> None: ...
+    def __setitem__(self, key: str, val: Any) -> None: ...
+    def __getitem__(self, key: str) -> Any: ...
+    def __iter__(self) -> Generator[str, None, None]: ...
+    def __len__(self) -> int: ...
+    def find_all(self, pattern: str) -> RcParams: ...
+    def copy(self) -> RcParams: ...
+
+def rc_params(fail_on_error: bool = ...) -> RcParams: ...
+def rc_params_from_file(
+    fname: str | Path | os.PathLike,
+    fail_on_error: bool = ...,
+    use_default_template: bool = ...,
+) -> RcParams: ...
+
+rcParamsDefault: RcParams
+rcParams: RcParams
+rcParamsOrig: RcParams
+defaultParams: dict[str, Any]
+
+def rc(group: str, **kwargs) -> None: ...
+def rcdefaults() -> None: ...
+def rc_file_defaults() -> None: ...
+def rc_file(
+    fname: str | Path | os.PathLike, *, use_default_template: bool = ...
+) -> None: ...
+@contextlib.contextmanager
+def rc_context(
+    rc: dict[str, Any] | None = ..., fname: str | Path | os.PathLike | None = ...
+) -> Generator[None, None, None]: ...
+def use(backend: str, *, force: bool = ...) -> None: ...
+@overload
+def get_backend(*, auto_select: Literal[True] = True) -> str: ...
+@overload
+def get_backend(*, auto_select: Literal[False]) -> str | None: ...
+def interactive(b: bool) -> None: ...
+def is_interactive() -> bool: ...
+
+def _preprocess_data(
+    func: Callable | None = ...,
+    *,
+    replace_names: list[str] | None = ...,
+    label_namer: str | None = ...
+) -> Callable: ...
+
+from matplotlib.cm import _colormaps as colormaps  # noqa: E402
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps  # noqa: E402
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps  # noqa: E402
+from matplotlib.colors import _color_sequences as color_sequences  # noqa: E402