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import sys |
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from collections import defaultdict |
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from typing import ( |
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Any, |
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Callable, |
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Generator, |
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Iterable, |
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Iterator, |
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Mapping, |
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Optional, |
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Sequence, |
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Tuple, |
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Type, |
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TypeVar, |
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Union, |
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) |
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import pandas as pd |
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from pocketutils.core._internal import nicesize |
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from pocketutils.core.exceptions import RefusingRequestError, XKeyError, XValueError |
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from pocketutils.core.input_output import DevNull |
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from pocketutils.tools.base_tools import BaseTools |
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Y = TypeVar("Y") |
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T = TypeVar("T") |
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Z = TypeVar("Z") |
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Q = TypeVar("Q") |
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class CommonTools(BaseTools): |
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@classmethod |
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def limit(cls, items: Iterable[Q], n: int) -> Generator[Q, None, None]: |
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for i, x in zip(range(n), items): |
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yield x |
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@classmethod |
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def is_float(cls, s: Any) -> bool: |
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""" |
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Returns whether ``float(s)`` succeeds. |
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""" |
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try: |
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float(s) |
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return True |
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except ValueError: |
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return False |
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@classmethod |
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def try_none( |
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cls, |
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function: Callable[[], T], |
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fail_val: Optional[T] = None, |
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exception=Exception, |
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) -> Optional[T]: |
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""" |
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Returns the value of a function or None if it raised an exception. |
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Args: |
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function: Try calling this function |
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fail_val: Return this value |
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exception: Restrict caught exceptions to subclasses of this type |
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""" |
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# noinspection PyBroadException |
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try: |
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return function() |
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except exception: |
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return fail_val |
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@classmethod |
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def succeeds(cls, function: Callable[[], Any], exception=Exception) -> bool: |
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"""Returns True iff ``function`` does not raise an error.""" |
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return cls.try_none(function, exception=exception) is not None |
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@classmethod |
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def or_null(cls, x: Any, dtype=lambda s: s, or_else: Any = None) -> Optional[Any]: |
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""" |
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Return ``None`` if the operation ``dtype`` on ``x`` failed; returns the result otherwise. |
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""" |
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return or_else if cls.is_null(x) else dtype(x) |
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@classmethod |
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def or_raise( |
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cls, |
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x: Any, |
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dtype=lambda s: s, |
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or_else: Union[None, BaseException, Type[BaseException]] = None, |
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) -> Any: |
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""" |
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Returns ``dtype(x)`` if ``x`` is not None, or raises ``or_else``. |
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""" |
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if or_else is None: |
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or_else = LookupError(f"Value is {x}") |
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elif isinstance(or_else, type): |
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or_else = or_else(f"Value is {x}") |
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if cls.is_null(x): |
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raise or_else |
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return dtype(x) |
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@classmethod |
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def iterator_has_elements(cls, x: Iterator[Any]) -> bool: |
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""" |
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Returns False iff ``next(x)`` raises a ``StopIteration``. |
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WARNING: Tries to call ``next(x)``, progressing iterators. Don't use ``x`` after calling this. |
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Note that calling ``iterator_has_elements([5])`` will raise a `TypeError` |
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Args: |
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x: Must be an Iterator |
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""" |
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return cls.succeeds(lambda: next(x), StopIteration) |
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@classmethod |
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def is_null(cls, x: Any) -> bool: |
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""" |
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Returns True if: |
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- x is ``None`` |
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- x is ``float('NaN')`` |
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- ``pd.isna(x)`` |
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""" |
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try: |
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if pd.isna(x): |
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return True |
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except (ValueError, TypeError): |
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pass |
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return x is None or x == float("NaN") |
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@classmethod |
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def is_empty(cls, x: Any) -> bool: |
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""" |
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Returns True iff either: |
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- x is None |
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- pd.is_na(x) |
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- x is something with 0 length |
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- x is iterable and has 0 elements (will call ``__iter__``) |
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Raises: |
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RefusingRequestError If ``x`` is an Iterator. Calling this would empty the iterator, which is dangerous. |
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""" |
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if isinstance(x, Iterator): |
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raise RefusingRequestError("Do not call is_empty on an iterator.") |
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try: |
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if pd.isna(x): |
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return True |
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except (ValueError, TypeError): |
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pass |
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return ( |
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x is None |
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or x == float("NaN") |
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or hasattr(x, "__len__") |
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and len(x) == 0 |
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or hasattr(x, "__iter__") |
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and len(list(iter(x))) == 0 |
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) |
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@classmethod |
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def is_probable_null(cls, x: Any) -> bool: |
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""" |
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Returns True iff either: |
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- x is None |
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- pd.isna(x) |
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- x is something with 0 length |
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- x is iterable and has 0 elements (will call ``__iter__``) |
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- a str(x) is 'nan', 'n/a', 'null', or 'none'; case-insensitive |
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Things that are **NOT** probable nulls: |
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- "na" |
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- 0 |
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- [None] |
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Raises: |
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TypeError If ``x`` is an Iterator. |
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Calling this would empty the iterator, which is dangerous. |
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""" |
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return cls.is_empty(x) or str(x).lower() in ["nan", "n/a", "null", "none"] |
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@classmethod |
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def unique(cls, sequence: Iterable[T]) -> Sequence[T]: |
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""" |
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Returns the unique items in `sequence`, in the order they appear in the iteration. |
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Args: |
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sequence: Any once-iterable sequence |
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Returns: |
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An ordered List of unique elements |
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""" |
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seen = set() |
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return [x for x in sequence if not (x in seen or seen.add(x))] |
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@classmethod |
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def first(cls, collection: Iterable[Any], attr: Optional[str] = None) -> Optional[Any]: |
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""" |
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Gets the first element. |
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WARNING: Tries to call ``next(x)``, progressing iterators. |
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Args: |
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collection: Any iterable |
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attr: The name of the attribute that might be defined on the elements, |
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or None to indicate the elements themselves should be used |
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Returns: |
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- The attribute of the first element if ``attr`` is defined on an element |
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- None if the the sequence is empty |
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- None if the sequence has no attribute ``attr`` |
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""" |
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try: |
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# note: calling iter on an iterator creates a view only |
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x = next(iter(collection)) |
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return x if attr is None else cls.look(x, attr) |
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except StopIteration: |
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return None |
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@classmethod |
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def iter_rowcol(cls, n_rows: int, n_cols: int) -> Generator[Tuple[int, int], None, None]: |
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""" |
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An iterator over (row column) pairs for a row-first grid traversal. |
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Example: |
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.. code-block:: |
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it = CommonTools.iter_rowcol(5, 3) |
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[next(it) for _ in range(5)] # [(0,0),(0,1),(0,2),(1,0),(1,1)] |
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""" |
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for i in range(n_rows * n_cols): |
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yield i // n_cols, i % n_cols |
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@classmethod |
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def multidict( |
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cls, |
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sequence: Iterable[Z], |
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key_attr: Union[str, Iterable[str], Callable[[Y], Z]], |
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skip_none: bool = False, |
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) -> Mapping[Y, Sequence[Z]]: |
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""" |
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Builds a mapping from keys to multiple values. |
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Builds a mapping of some attribute in ``sequence`` to |
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the containing elements of ``sequence``. |
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Args: |
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sequence: Any iterable |
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key_attr: Usually string like 'attr1.attr2'; see `look` |
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skip_none: If None, raises a `KeyError` if the key is missing for any item; otherwise, skips it |
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""" |
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dct = defaultdict(lambda: []) |
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for item in sequence: |
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v = CommonTools.look(item, key_attr) |
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if not skip_none and v is None: |
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raise XKeyError(f"No {key_attr} in {item}", key=key_attr) |
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if v is not None: |
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dct[v].append(item) |
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return dct |
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@classmethod |
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def mem_size(cls, obj) -> str: |
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""" |
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Returns the size of the object in memory as a human-readable string. |
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Args: |
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obj: Any Python object |
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Returns: |
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A human-readable size with units |
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""" |
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return nicesize(sys.getsizeof(obj)) |
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@classmethod |
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def devnull(cls): |
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""" |
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Yields a 'writer' that does nothing. |
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270
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Example: |
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>>> with CommonTools.devnull() as devnull: |
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>>> devnull.write('hello') |
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""" |
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yield DevNull() |
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@classmethod |
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def parse_bool(cls, s: str) -> bool: |
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278
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""" |
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Parses a 'true'/'false' string to a bool, ignoring case. |
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Raises: |
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ValueError: If neither true nor false |
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""" |
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if isinstance(s, bool): |
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return s |
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if s.lower() == "false": |
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return False |
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if s.lower() == "true": |
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return True |
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raise XValueError(f"{s} is not true/false", value=s) |
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292
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@classmethod |
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293
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def parse_bool_flex(cls, s: str) -> bool: |
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294
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""" |
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295
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Parses a 'true'/'false'/'yes'/'no'/... string to a bool, ignoring case. |
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297
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Allowed: |
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- "true", "t", "yes", "y", "1", "+" |
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- "false", "f", "no", "n", "0", "-" |
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Raises: |
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XValueError: If neither true nor false |
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""" |
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mp = { |
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**{v: True for v in {"true", "t", "yes", "y", "1", "+"}}, |
|
306
|
|
|
**{v: False for v in {"false", "f", "no", "n", "0", "-"}}, |
|
307
|
|
|
} |
|
308
|
|
|
v = mp.get(s.lower()) |
|
|
|
|
|
|
309
|
|
|
if v is None: |
|
310
|
|
|
raise XValueError(f"{s.lower()} is not in {','.join(mp.keys())}", value=s) |
|
311
|
|
|
return v |
|
312
|
|
|
|
|
313
|
|
|
|
|
314
|
|
|
__all__ = ["CommonTools"] |
|
315
|
|
|
|