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__init__.py
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__main__.py
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__pycache__
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_cell_widths.py
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_emoji_codes.py
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_emoji_replace.py
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_export_format.py
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_extension.py
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_fileno.py
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_inspect.py
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_log_render.py
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_loop.py
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_null_file.py
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_palettes.py
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_pick.py
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_ratio.py
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_spinners.py
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_stack.py
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_timer.py
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_win32_console.py
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_windows.py
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_windows_renderer.py
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_wrap.py
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abc.py
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align.py
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ansi.py
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bar.py
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box.py
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cells.py
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color.py
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color_triplet.py
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columns.py
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console.py
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constrain.py
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containers.py
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control.py
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default_styles.py
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diagnose.py
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emoji.py
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errors.py
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file_proxy.py
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filesize.py
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highlighter.py
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json.py
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jupyter.py
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layout.py
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live.py
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live_render.py
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logging.py
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markup.py
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measure.py
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padding.py
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pager.py
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palette.py
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panel.py
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pretty.py
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progress.py
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progress_bar.py
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prompt.py
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protocol.py
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py.typed
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region.py
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repr.py
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rule.py
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scope.py
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screen.py
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segment.py
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spinner.py
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status.py
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style.py
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styled.py
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syntax.py
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table.py
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terminal_theme.py
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text.py
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theme.py
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themes.py
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traceback.py
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tree.py
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Editing: _ratio.py
import sys from fractions import Fraction from math import ceil from typing import cast, List, Optional, Sequence if sys.version_info >= (3, 8): from typing import Protocol else: from pip._vendor.typing_extensions import Protocol # pragma: no cover class Edge(Protocol): """Any object that defines an edge (such as Layout).""" size: Optional[int] = None ratio: int = 1 minimum_size: int = 1 def ratio_resolve(total: int, edges: Sequence[Edge]) -> List[int]: """Divide total space to satisfy size, ratio, and minimum_size, constraints. The returned list of integers should add up to total in most cases, unless it is impossible to satisfy all the constraints. For instance, if there are two edges with a minimum size of 20 each and `total` is 30 then the returned list will be greater than total. In practice, this would mean that a Layout object would clip the rows that would overflow the screen height. Args: total (int): Total number of characters. edges (List[Edge]): Edges within total space. Returns: List[int]: Number of characters for each edge. """ # Size of edge or None for yet to be determined sizes = [(edge.size or None) for edge in edges] _Fraction = Fraction # While any edges haven't been calculated while None in sizes: # Get flexible edges and index to map these back on to sizes list flexible_edges = [ (index, edge) for index, (size, edge) in enumerate(zip(sizes, edges)) if size is None ] # Remaining space in total remaining = total - sum(size or 0 for size in sizes) if remaining <= 0: # No room for flexible edges return [ ((edge.minimum_size or 1) if size is None else size) for size, edge in zip(sizes, edges) ] # Calculate number of characters in a ratio portion portion = _Fraction( remaining, sum((edge.ratio or 1) for _, edge in flexible_edges) ) # If any edges will be less than their minimum, replace size with the minimum for index, edge in flexible_edges: if portion * edge.ratio <= edge.minimum_size: sizes[index] = edge.minimum_size # New fixed size will invalidate calculations, so we need to repeat the process break else: # Distribute flexible space and compensate for rounding error # Since edge sizes can only be integers we need to add the remainder # to the following line remainder = _Fraction(0) for index, edge in flexible_edges: size, remainder = divmod(portion * edge.ratio + remainder, 1) sizes[index] = size break # Sizes now contains integers only return cast(List[int], sizes) def ratio_reduce( total: int, ratios: List[int], maximums: List[int], values: List[int] ) -> List[int]: """Divide an integer total in to parts based on ratios. Args: total (int): The total to divide. ratios (List[int]): A list of integer ratios. maximums (List[int]): List of maximums values for each slot. values (List[int]): List of values Returns: List[int]: A list of integers guaranteed to sum to total. """ ratios = [ratio if _max else 0 for ratio, _max in zip(ratios, maximums)] total_ratio = sum(ratios) if not total_ratio: return values[:] total_remaining = total result: List[int] = [] append = result.append for ratio, maximum, value in zip(ratios, maximums, values): if ratio and total_ratio > 0: distributed = min(maximum, round(ratio * total_remaining / total_ratio)) append(value - distributed) total_remaining -= distributed total_ratio -= ratio else: append(value) return result def ratio_distribute( total: int, ratios: List[int], minimums: Optional[List[int]] = None ) -> List[int]: """Distribute an integer total in to parts based on ratios. Args: total (int): The total to divide. ratios (List[int]): A list of integer ratios. minimums (List[int]): List of minimum values for each slot. Returns: List[int]: A list of integers guaranteed to sum to total. """ if minimums: ratios = [ratio if _min else 0 for ratio, _min in zip(ratios, minimums)] total_ratio = sum(ratios) assert total_ratio > 0, "Sum of ratios must be > 0" total_remaining = total distributed_total: List[int] = [] append = distributed_total.append if minimums is None: _minimums = [0] * len(ratios) else: _minimums = minimums for ratio, minimum in zip(ratios, _minimums): if total_ratio > 0: distributed = max(minimum, ceil(ratio * total_remaining / total_ratio)) else: distributed = total_remaining append(distributed) total_ratio -= ratio total_remaining -= distributed return distributed_total if __name__ == "__main__": from dataclasses import dataclass @dataclass class E: size: Optional[int] = None ratio: int = 1 minimum_size: int = 1 resolved = ratio_resolve(110, [E(None, 1, 1), E(None, 1, 1), E(None, 1, 1)]) print(sum(resolved))
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