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Python

import builtins
import collections
import dataclasses
import inspect
import os
import sys
from array import array
from collections import Counter, UserDict, UserList, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from inspect import isclass
from itertools import islice
from types import MappingProxyType
from typing import (
TYPE_CHECKING,
Any,
Callable,
DefaultDict,
Dict,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
Union,
)
from pip._vendor.rich.repr import RichReprResult
try:
import attr as _attr_module
_has_attrs = True
except ImportError: # pragma: no cover
_has_attrs = False
from . import get_console
from ._loop import loop_last
from ._pick import pick_bool
from .abc import RichRenderable
from .cells import cell_len
from .highlighter import ReprHighlighter
from .jupyter import JupyterMixin, JupyterRenderable
from .measure import Measurement
from .text import Text
if TYPE_CHECKING:
from .console import (
Console,
ConsoleOptions,
HighlighterType,
JustifyMethod,
OverflowMethod,
RenderResult,
)
JUPYTER_CLASSES_TO_NOT_RENDER = {
# Matplotlib "Artists" manage their own rendering in a Jupyter notebook, and we should not try to render them too.
# "Typically, all [Matplotlib] visible elements in a figure are subclasses of Artist."
"matplotlib.artist.Artist",
}
def _is_attr_object(obj: Any) -> bool:
"""Check if an object was created with attrs module."""
return _has_attrs and _attr_module.has(type(obj))
def _get_attr_fields(obj: Any) -> Sequence["_attr_module.Attribute[Any]"]:
"""Get fields for an attrs object."""
return _attr_module.fields(type(obj)) if _has_attrs else []
def _is_dataclass_repr(obj: object) -> bool:
"""Check if an instance of a dataclass contains the default repr.
Args:
obj (object): A dataclass instance.
Returns:
bool: True if the default repr is used, False if there is a custom repr.
"""
# Digging in to a lot of internals here
# Catching all exceptions in case something is missing on a non CPython implementation
try:
return obj.__repr__.__code__.co_filename == dataclasses.__file__
except Exception: # pragma: no coverage
return False
_dummy_namedtuple = collections.namedtuple("_dummy_namedtuple", [])
def _has_default_namedtuple_repr(obj: object) -> bool:
"""Check if an instance of namedtuple contains the default repr
Args:
obj (object): A namedtuple
Returns:
bool: True if the default repr is used, False if there's a custom repr.
"""
obj_file = None
try:
obj_file = inspect.getfile(obj.__repr__)
except (OSError, TypeError):
# OSError handles case where object is defined in __main__ scope, e.g. REPL - no filename available.
# TypeError trapped defensively, in case of object without filename slips through.
pass
default_repr_file = inspect.getfile(_dummy_namedtuple.__repr__)
return obj_file == default_repr_file
def _ipy_display_hook(
value: Any,
console: Optional["Console"] = None,
overflow: "OverflowMethod" = "ignore",
crop: bool = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
expand_all: bool = False,
) -> None:
# needed here to prevent circular import:
from ._inspect import is_object_one_of_types
from .console import ConsoleRenderable
# always skip rich generated jupyter renderables or None values
if _safe_isinstance(value, JupyterRenderable) or value is None:
return
console = console or get_console()
if console.is_jupyter:
# Delegate rendering to IPython if the object (and IPython) supports it
# https://ipython.readthedocs.io/en/stable/config/integrating.html#rich-display
ipython_repr_methods = [
"_repr_html_",
"_repr_markdown_",
"_repr_json_",
"_repr_latex_",
"_repr_jpeg_",
"_repr_png_",
"_repr_svg_",
"_repr_mimebundle_",
]
for repr_method in ipython_repr_methods:
method = getattr(value, repr_method, None)
if inspect.ismethod(method):
# Calling the method ourselves isn't ideal. The interface for the `_repr_*_` methods
# specifies that if they return None, then they should not be rendered
# by the notebook.
try:
repr_result = method()
except Exception:
continue # If the method raises, treat it as if it doesn't exist, try any others
if repr_result is not None:
return # Delegate rendering to IPython
# When in a Jupyter notebook let's avoid the display of some specific classes,
# as they result in the rendering of useless and noisy lines such as `<Figure size 432x288 with 1 Axes>`.
# What does this do?
# --> if the class has "matplotlib.artist.Artist" in its hierarchy for example, we don't render it.
if is_object_one_of_types(value, JUPYTER_CLASSES_TO_NOT_RENDER):
return
# certain renderables should start on a new line
if _safe_isinstance(value, ConsoleRenderable):
console.line()
console.print(
value
if _safe_isinstance(value, RichRenderable)
else Pretty(
value,
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
margin=12,
),
crop=crop,
new_line_start=True,
)
def _safe_isinstance(
obj: object, class_or_tuple: Union[type, Tuple[type, ...]]
) -> bool:
"""isinstance can fail in rare cases, for example types with no __class__"""
try:
return isinstance(obj, class_or_tuple)
except Exception:
return False
def install(
console: Optional["Console"] = None,
overflow: "OverflowMethod" = "ignore",
crop: bool = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
expand_all: bool = False,
) -> None:
"""Install automatic pretty printing in the Python REPL.
Args:
console (Console, optional): Console instance or ``None`` to use global console. Defaults to None.
overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore".
crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False.
indent_guides (bool, optional): Enable indentation guides. Defaults to False.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.
expand_all (bool, optional): Expand all containers. Defaults to False.
max_frames (int): Maximum number of frames to show in a traceback, 0 for no maximum. Defaults to 100.
"""
from pip._vendor.rich import get_console
console = console or get_console()
assert console is not None
def display_hook(value: Any) -> None:
"""Replacement sys.displayhook which prettifies objects with Rich."""
if value is not None:
assert console is not None
builtins._ = None # type: ignore[attr-defined]
console.print(
value
if _safe_isinstance(value, RichRenderable)
else Pretty(
value,
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
),
crop=crop,
)
builtins._ = value # type: ignore[attr-defined]
try: # pragma: no cover
ip = get_ipython() # type: ignore[name-defined]
from IPython.core.formatters import BaseFormatter
class RichFormatter(BaseFormatter): # type: ignore[misc]
pprint: bool = True
def __call__(self, value: Any) -> Any:
if self.pprint:
return _ipy_display_hook(
value,
console=get_console(),
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
)
else:
return repr(value)
# replace plain text formatter with rich formatter
rich_formatter = RichFormatter()
ip.display_formatter.formatters["text/plain"] = rich_formatter
except Exception:
sys.displayhook = display_hook
class Pretty(JupyterMixin):
"""A rich renderable that pretty prints an object.
Args:
_object (Any): An object to pretty print.
highlighter (HighlighterType, optional): Highlighter object to apply to result, or None for ReprHighlighter. Defaults to None.
indent_size (int, optional): Number of spaces in indent. Defaults to 4.
justify (JustifyMethod, optional): Justify method, or None for default. Defaults to None.
overflow (OverflowMethod, optional): Overflow method, or None for default. Defaults to None.
no_wrap (Optional[bool], optional): Disable word wrapping. Defaults to False.
indent_guides (bool, optional): Enable indentation guides. Defaults to False.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.
max_depth (int, optional): Maximum depth of nested data structures, or None for no maximum. Defaults to None.
expand_all (bool, optional): Expand all containers. Defaults to False.
margin (int, optional): Subtrace a margin from width to force containers to expand earlier. Defaults to 0.
insert_line (bool, optional): Insert a new line if the output has multiple new lines. Defaults to False.
"""
def __init__(
self,
_object: Any,
highlighter: Optional["HighlighterType"] = None,
*,
indent_size: int = 4,
justify: Optional["JustifyMethod"] = None,
overflow: Optional["OverflowMethod"] = None,
no_wrap: Optional[bool] = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
margin: int = 0,
insert_line: bool = False,
) -> None:
self._object = _object
self.highlighter = highlighter or ReprHighlighter()
self.indent_size = indent_size
self.justify: Optional["JustifyMethod"] = justify
self.overflow: Optional["OverflowMethod"] = overflow
self.no_wrap = no_wrap
self.indent_guides = indent_guides
self.max_length = max_length
self.max_string = max_string
self.max_depth = max_depth
self.expand_all = expand_all
self.margin = margin
self.insert_line = insert_line
def __rich_console__(
self, console: "Console", options: "ConsoleOptions"
) -> "RenderResult":
pretty_str = pretty_repr(
self._object,
max_width=options.max_width - self.margin,
indent_size=self.indent_size,
max_length=self.max_length,
max_string=self.max_string,
max_depth=self.max_depth,
expand_all=self.expand_all,
)
pretty_text = Text(
pretty_str,
justify=self.justify or options.justify,
overflow=self.overflow or options.overflow,
no_wrap=pick_bool(self.no_wrap, options.no_wrap),
style="pretty",
)
pretty_text = (
self.highlighter(pretty_text)
if pretty_text
else Text(
f"{type(self._object)}.__repr__ returned empty string",
style="dim italic",
)
)
if self.indent_guides and not options.ascii_only:
pretty_text = pretty_text.with_indent_guides(
self.indent_size, style="repr.indent"
)
if self.insert_line and "\n" in pretty_text:
yield ""
yield pretty_text
def __rich_measure__(
self, console: "Console", options: "ConsoleOptions"
) -> "Measurement":
pretty_str = pretty_repr(
self._object,
max_width=options.max_width,
indent_size=self.indent_size,
max_length=self.max_length,
max_string=self.max_string,
expand_all=self.expand_all,
)
text_width = (
max(cell_len(line) for line in pretty_str.splitlines()) if pretty_str else 0
)
return Measurement(text_width, text_width)
def _get_braces_for_defaultdict(_object: DefaultDict[Any, Any]) -> Tuple[str, str, str]:
return (
f"defaultdict({_object.default_factory!r}, {{",
"})",
f"defaultdict({_object.default_factory!r}, {{}})",
)
def _get_braces_for_array(_object: "array[Any]") -> Tuple[str, str, str]:
return (f"array({_object.typecode!r}, [", "])", f"array({_object.typecode!r})")
_BRACES: Dict[type, Callable[[Any], Tuple[str, str, str]]] = {
os._Environ: lambda _object: ("environ({", "})", "environ({})"),
array: _get_braces_for_array,
defaultdict: _get_braces_for_defaultdict,
Counter: lambda _object: ("Counter({", "})", "Counter()"),
deque: lambda _object: ("deque([", "])", "deque()"),
dict: lambda _object: ("{", "}", "{}"),
UserDict: lambda _object: ("{", "}", "{}"),
frozenset: lambda _object: ("frozenset({", "})", "frozenset()"),
list: lambda _object: ("[", "]", "[]"),
UserList: lambda _object: ("[", "]", "[]"),
set: lambda _object: ("{", "}", "set()"),
tuple: lambda _object: ("(", ")", "()"),
MappingProxyType: lambda _object: ("mappingproxy({", "})", "mappingproxy({})"),
}
_CONTAINERS = tuple(_BRACES.keys())
_MAPPING_CONTAINERS = (dict, os._Environ, MappingProxyType, UserDict)
def is_expandable(obj: Any) -> bool:
"""Check if an object may be expanded by pretty print."""
return (
_safe_isinstance(obj, _CONTAINERS)
or (is_dataclass(obj))
or (hasattr(obj, "__rich_repr__"))
or _is_attr_object(obj)
) and not isclass(obj)
@dataclass
class Node:
"""A node in a repr tree. May be atomic or a container."""
key_repr: str = ""
value_repr: str = ""
open_brace: str = ""
close_brace: str = ""
empty: str = ""
last: bool = False
is_tuple: bool = False
is_namedtuple: bool = False
children: Optional[List["Node"]] = None
key_separator = ": "
separator: str = ", "
def iter_tokens(self) -> Iterable[str]:
"""Generate tokens for this node."""
if self.key_repr:
yield self.key_repr
yield self.key_separator
if self.value_repr:
yield self.value_repr
elif self.children is not None:
if self.children:
yield self.open_brace
if self.is_tuple and not self.is_namedtuple and len(self.children) == 1:
yield from self.children[0].iter_tokens()
yield ","
else:
for child in self.children:
yield from child.iter_tokens()
if not child.last:
yield self.separator
yield self.close_brace
else:
yield self.empty
def check_length(self, start_length: int, max_length: int) -> bool:
"""Check the length fits within a limit.
Args:
start_length (int): Starting length of the line (indent, prefix, suffix).
max_length (int): Maximum length.
Returns:
bool: True if the node can be rendered within max length, otherwise False.
"""
total_length = start_length
for token in self.iter_tokens():
total_length += cell_len(token)
if total_length > max_length:
return False
return True
def __str__(self) -> str:
repr_text = "".join(self.iter_tokens())
return repr_text
def render(
self, max_width: int = 80, indent_size: int = 4, expand_all: bool = False
) -> str:
"""Render the node to a pretty repr.
Args:
max_width (int, optional): Maximum width of the repr. Defaults to 80.
indent_size (int, optional): Size of indents. Defaults to 4.
expand_all (bool, optional): Expand all levels. Defaults to False.
Returns:
str: A repr string of the original object.
"""
lines = [_Line(node=self, is_root=True)]
line_no = 0
while line_no < len(lines):
line = lines[line_no]
if line.expandable and not line.expanded:
if expand_all or not line.check_length(max_width):
lines[line_no : line_no + 1] = line.expand(indent_size)
line_no += 1
repr_str = "\n".join(str(line) for line in lines)
return repr_str
@dataclass
class _Line:
"""A line in repr output."""
parent: Optional["_Line"] = None
is_root: bool = False
node: Optional[Node] = None
text: str = ""
suffix: str = ""
whitespace: str = ""
expanded: bool = False
last: bool = False
@property
def expandable(self) -> bool:
"""Check if the line may be expanded."""
return bool(self.node is not None and self.node.children)
def check_length(self, max_length: int) -> bool:
"""Check this line fits within a given number of cells."""
start_length = (
len(self.whitespace) + cell_len(self.text) + cell_len(self.suffix)
)
assert self.node is not None
return self.node.check_length(start_length, max_length)
def expand(self, indent_size: int) -> Iterable["_Line"]:
"""Expand this line by adding children on their own line."""
node = self.node
assert node is not None
whitespace = self.whitespace
assert node.children
if node.key_repr:
new_line = yield _Line(
text=f"{node.key_repr}{node.key_separator}{node.open_brace}",
whitespace=whitespace,
)
else:
new_line = yield _Line(text=node.open_brace, whitespace=whitespace)
child_whitespace = self.whitespace + " " * indent_size
tuple_of_one = node.is_tuple and len(node.children) == 1
for last, child in loop_last(node.children):
separator = "," if tuple_of_one else node.separator
line = _Line(
parent=new_line,
node=child,
whitespace=child_whitespace,
suffix=separator,
last=last and not tuple_of_one,
)
yield line
yield _Line(
text=node.close_brace,
whitespace=whitespace,
suffix=self.suffix,
last=self.last,
)
def __str__(self) -> str:
if self.last:
return f"{self.whitespace}{self.text}{self.node or ''}"
else:
return (
f"{self.whitespace}{self.text}{self.node or ''}{self.suffix.rstrip()}"
)
def _is_namedtuple(obj: Any) -> bool:
"""Checks if an object is most likely a namedtuple. It is possible
to craft an object that passes this check and isn't a namedtuple, but
there is only a minuscule chance of this happening unintentionally.
Args:
obj (Any): The object to test
Returns:
bool: True if the object is a namedtuple. False otherwise.
"""
try:
fields = getattr(obj, "_fields", None)
except Exception:
# Being very defensive - if we cannot get the attr then its not a namedtuple
return False
return isinstance(obj, tuple) and isinstance(fields, tuple)
def traverse(
_object: Any,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
) -> Node:
"""Traverse object and generate a tree.
Args:
_object (Any): Object to be traversed.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.
Defaults to None.
max_depth (int, optional): Maximum depth of data structures, or None for no maximum.
Defaults to None.
Returns:
Node: The root of a tree structure which can be used to render a pretty repr.
"""
def to_repr(obj: Any) -> str:
"""Get repr string for an object, but catch errors."""
if (
max_string is not None
and _safe_isinstance(obj, (bytes, str))
and len(obj) > max_string
):
truncated = len(obj) - max_string
obj_repr = f"{obj[:max_string]!r}+{truncated}"
else:
try:
obj_repr = repr(obj)
except Exception as error:
obj_repr = f"<repr-error {str(error)!r}>"
return obj_repr
visited_ids: Set[int] = set()
push_visited = visited_ids.add
pop_visited = visited_ids.remove
def _traverse(obj: Any, root: bool = False, depth: int = 0) -> Node:
"""Walk the object depth first."""
obj_type = type(obj)
py_version = (sys.version_info.major, sys.version_info.minor)
children: List[Node]
reached_max_depth = max_depth is not None and depth >= max_depth
def iter_rich_args(rich_args: Any) -> Iterable[Union[Any, Tuple[str, Any]]]:
for arg in rich_args:
if _safe_isinstance(arg, tuple):
if len(arg) == 3:
key, child, default = arg
if default == child:
continue
yield key, child
elif len(arg) == 2:
key, child = arg
yield key, child
elif len(arg) == 1:
yield arg[0]
else:
yield arg
try:
fake_attributes = hasattr(
obj, "awehoi234_wdfjwljet234_234wdfoijsdfmmnxpi492"
)
except Exception:
fake_attributes = False
rich_repr_result: Optional[RichReprResult] = None
if not fake_attributes:
try:
if hasattr(obj, "__rich_repr__") and not isclass(obj):
rich_repr_result = obj.__rich_repr__()
except Exception:
pass
if rich_repr_result is not None:
angular = getattr(obj.__rich_repr__, "angular", False)
args = list(iter_rich_args(rich_repr_result))
class_name = obj.__class__.__name__
if args:
children = []
append = children.append
if reached_max_depth:
node = Node(value_repr=f"...")
else:
if angular:
node = Node(
open_brace=f"<{class_name} ",
close_brace=">",
children=children,
last=root,
separator=" ",
)
else:
node = Node(
open_brace=f"{class_name}(",
close_brace=")",
children=children,
last=root,
)
for last, arg in loop_last(args):
if _safe_isinstance(arg, tuple):
key, child = arg
child_node = _traverse(child, depth=depth + 1)
child_node.last = last
child_node.key_repr = key
child_node.key_separator = "="
append(child_node)
else:
child_node = _traverse(arg, depth=depth + 1)
child_node.last = last
append(child_node)
else:
node = Node(
value_repr=f"<{class_name}>" if angular else f"{class_name}()",
children=[],
last=root,
)
elif _is_attr_object(obj) and not fake_attributes:
children = []
append = children.append
attr_fields = _get_attr_fields(obj)
if attr_fields:
if reached_max_depth:
node = Node(value_repr=f"...")
else:
node = Node(
open_brace=f"{obj.__class__.__name__}(",
close_brace=")",
children=children,
last=root,
)
def iter_attrs() -> Iterable[
Tuple[str, Any, Optional[Callable[[Any], str]]]
]:
"""Iterate over attr fields and values."""
for attr in attr_fields:
if attr.repr:
try:
value = getattr(obj, attr.name)
except Exception as error:
# Can happen, albeit rarely
yield (attr.name, error, None)
else:
yield (
attr.name,
value,
attr.repr if callable(attr.repr) else None,
)
for last, (name, value, repr_callable) in loop_last(iter_attrs()):
if repr_callable:
child_node = Node(value_repr=str(repr_callable(value)))
else:
child_node = _traverse(value, depth=depth + 1)
child_node.last = last
child_node.key_repr = name
child_node.key_separator = "="
append(child_node)
else:
node = Node(
value_repr=f"{obj.__class__.__name__}()", children=[], last=root
)
elif (
is_dataclass(obj)
and not _safe_isinstance(obj, type)
and not fake_attributes
and (_is_dataclass_repr(obj) or py_version == (3, 6))
):
obj_id = id(obj)
if obj_id in visited_ids:
# Recursion detected
return Node(value_repr="...")
push_visited(obj_id)
children = []
append = children.append
if reached_max_depth:
node = Node(value_repr=f"...")
else:
node = Node(
open_brace=f"{obj.__class__.__name__}(",
close_brace=")",
children=children,
last=root,
)
for last, field in loop_last(
field for field in fields(obj) if field.repr
):
child_node = _traverse(getattr(obj, field.name), depth=depth + 1)
child_node.key_repr = field.name
child_node.last = last
child_node.key_separator = "="
append(child_node)
pop_visited(obj_id)
elif _is_namedtuple(obj) and _has_default_namedtuple_repr(obj):
if reached_max_depth:
node = Node(value_repr="...")
else:
children = []
class_name = obj.__class__.__name__
node = Node(
open_brace=f"{class_name}(",
close_brace=")",
children=children,
empty=f"{class_name}()",
)
append = children.append
for last, (key, value) in loop_last(obj._asdict().items()):
child_node = _traverse(value, depth=depth + 1)
child_node.key_repr = key
child_node.last = last
child_node.key_separator = "="
append(child_node)
elif _safe_isinstance(obj, _CONTAINERS):
for container_type in _CONTAINERS:
if _safe_isinstance(obj, container_type):
obj_type = container_type
break
obj_id = id(obj)
if obj_id in visited_ids:
# Recursion detected
return Node(value_repr="...")
push_visited(obj_id)
open_brace, close_brace, empty = _BRACES[obj_type](obj)
if reached_max_depth:
node = Node(value_repr=f"...", last=root)
elif obj_type.__repr__ != type(obj).__repr__:
node = Node(value_repr=to_repr(obj), last=root)
elif obj:
children = []
node = Node(
open_brace=open_brace,
close_brace=close_brace,
children=children,
last=root,
)
append = children.append
num_items = len(obj)
last_item_index = num_items - 1
if _safe_isinstance(obj, _MAPPING_CONTAINERS):
iter_items = iter(obj.items())
if max_length is not None:
iter_items = islice(iter_items, max_length)
for index, (key, child) in enumerate(iter_items):
child_node = _traverse(child, depth=depth + 1)
child_node.key_repr = to_repr(key)
child_node.last = index == last_item_index
append(child_node)
else:
iter_values = iter(obj)
if max_length is not None:
iter_values = islice(iter_values, max_length)
for index, child in enumerate(iter_values):
child_node = _traverse(child, depth=depth + 1)
child_node.last = index == last_item_index
append(child_node)
if max_length is not None and num_items > max_length:
append(Node(value_repr=f"... +{num_items - max_length}", last=True))
else:
node = Node(empty=empty, children=[], last=root)
pop_visited(obj_id)
else:
node = Node(value_repr=to_repr(obj), last=root)
node.is_tuple = _safe_isinstance(obj, tuple)
node.is_namedtuple = _is_namedtuple(obj)
return node
node = _traverse(_object, root=True)
return node
def pretty_repr(
_object: Any,
*,
max_width: int = 80,
indent_size: int = 4,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
) -> str:
"""Prettify repr string by expanding on to new lines to fit within a given width.
Args:
_object (Any): Object to repr.
max_width (int, optional): Desired maximum width of repr string. Defaults to 80.
indent_size (int, optional): Number of spaces to indent. Defaults to 4.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.
Defaults to None.
max_depth (int, optional): Maximum depth of nested data structure, or None for no depth.
Defaults to None.
expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False.
Returns:
str: A possibly multi-line representation of the object.
"""
if _safe_isinstance(_object, Node):
node = _object
else:
node = traverse(
_object, max_length=max_length, max_string=max_string, max_depth=max_depth
)
repr_str: str = node.render(
max_width=max_width, indent_size=indent_size, expand_all=expand_all
)
return repr_str
def pprint(
_object: Any,
*,
console: Optional["Console"] = None,
indent_guides: bool = True,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
) -> None:
"""A convenience function for pretty printing.
Args:
_object (Any): Object to pretty print.
console (Console, optional): Console instance, or None to use default. Defaults to None.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None.
max_depth (int, optional): Maximum depth for nested data structures, or None for unlimited depth. Defaults to None.
indent_guides (bool, optional): Enable indentation guides. Defaults to True.
expand_all (bool, optional): Expand all containers. Defaults to False.
"""
_console = get_console() if console is None else console
_console.print(
Pretty(
_object,
max_length=max_length,
max_string=max_string,
max_depth=max_depth,
indent_guides=indent_guides,
expand_all=expand_all,
overflow="ignore",
),
soft_wrap=True,
)
if __name__ == "__main__": # pragma: no cover
class BrokenRepr:
def __repr__(self) -> str:
1 / 0
return "this will fail"
from typing import NamedTuple
class StockKeepingUnit(NamedTuple):
name: str
description: str
price: float
category: str
reviews: List[str]
d = defaultdict(int)
d["foo"] = 5
data = {
"foo": [
1,
"Hello World!",
100.123,
323.232,
432324.0,
{5, 6, 7, (1, 2, 3, 4), 8},
],
"bar": frozenset({1, 2, 3}),
"defaultdict": defaultdict(
list, {"crumble": ["apple", "rhubarb", "butter", "sugar", "flour"]}
),
"counter": Counter(
[
"apple",
"orange",
"pear",
"kumquat",
"kumquat",
"durian" * 100,
]
),
"atomic": (False, True, None),
"namedtuple": StockKeepingUnit(
"Sparkling British Spring Water",
"Carbonated spring water",
0.9,
"water",
["its amazing!", "its terrible!"],
),
"Broken": BrokenRepr(),
}
data["foo"].append(data) # type: ignore[attr-defined]
from pip._vendor.rich import print
print(Pretty(data, indent_guides=True, max_string=20))