201 lines
6.0 KiB
Python
201 lines
6.0 KiB
Python
#!/usr/bin/env python3
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"""Prints type-coercion tables for the built-in NumPy types
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"""
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import numpy as np
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from collections import namedtuple
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# Generic object that can be added, but doesn't do anything else
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class GenericObject:
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def __init__(self, v):
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self.v = v
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def __add__(self, other):
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return self
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def __radd__(self, other):
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return self
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dtype = np.dtype('O')
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def print_cancast_table(ntypes):
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print('X', end=' ')
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for char in ntypes:
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print(char, end=' ')
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print()
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for row in ntypes:
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print(row, end=' ')
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for col in ntypes:
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if np.can_cast(row, col, "equiv"):
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cast = "#"
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elif np.can_cast(row, col, "safe"):
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cast = "="
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elif np.can_cast(row, col, "same_kind"):
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cast = "~"
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elif np.can_cast(row, col, "unsafe"):
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cast = "."
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else:
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cast = " "
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print(cast, end=' ')
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print()
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def print_coercion_table(ntypes, inputfirstvalue, inputsecondvalue, firstarray, use_promote_types=False):
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print('+', end=' ')
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for char in ntypes:
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print(char, end=' ')
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print()
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for row in ntypes:
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if row == 'O':
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rowtype = GenericObject
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else:
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rowtype = np.obj2sctype(row)
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print(row, end=' ')
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for col in ntypes:
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if col == 'O':
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coltype = GenericObject
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else:
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coltype = np.obj2sctype(col)
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try:
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if firstarray:
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rowvalue = np.array([rowtype(inputfirstvalue)], dtype=rowtype)
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else:
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rowvalue = rowtype(inputfirstvalue)
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colvalue = coltype(inputsecondvalue)
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if use_promote_types:
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char = np.promote_types(rowvalue.dtype, colvalue.dtype).char
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else:
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value = np.add(rowvalue, colvalue)
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if isinstance(value, np.ndarray):
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char = value.dtype.char
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else:
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char = np.dtype(type(value)).char
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except ValueError:
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char = '!'
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except OverflowError:
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char = '@'
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except TypeError:
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char = '#'
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print(char, end=' ')
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print()
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def print_new_cast_table(*, can_cast=True, legacy=False, flags=False):
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"""Prints new casts, the values given are default "can-cast" values, not
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actual ones.
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"""
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from numpy.core._multiarray_tests import get_all_cast_information
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cast_table = {
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-1: " ",
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0: "#", # No cast (classify as equivalent here)
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1: "#", # equivalent casting
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2: "=", # safe casting
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3: "~", # same-kind casting
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4: ".", # unsafe casting
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}
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flags_table = {
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0 : "▗", 7: "█",
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1: "▚", 2: "▐", 4: "▄",
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3: "▜", 5: "▙",
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6: "▟",
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}
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cast_info = namedtuple("cast_info", ["can_cast", "legacy", "flags"])
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no_cast_info = cast_info(" ", " ", " ")
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casts = get_all_cast_information()
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table = {}
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dtypes = set()
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for cast in casts:
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dtypes.add(cast["from"])
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dtypes.add(cast["to"])
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if cast["from"] not in table:
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table[cast["from"]] = {}
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to_dict = table[cast["from"]]
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can_cast = cast_table[cast["casting"]]
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legacy = "L" if cast["legacy"] else "."
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flags = 0
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if cast["requires_pyapi"]:
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flags |= 1
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if cast["supports_unaligned"]:
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flags |= 2
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if cast["no_floatingpoint_errors"]:
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flags |= 4
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flags = flags_table[flags]
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to_dict[cast["to"]] = cast_info(can_cast=can_cast, legacy=legacy, flags=flags)
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# The np.dtype(x.type) is a bit strange, because dtype classes do
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# not expose much yet.
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types = np.typecodes["All"]
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def sorter(x):
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# This is a bit weird hack, to get a table as close as possible to
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# the one printing all typecodes (but expecting user-dtypes).
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dtype = np.dtype(x.type)
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try:
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indx = types.index(dtype.char)
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except ValueError:
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indx = np.inf
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return (indx, dtype.char)
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dtypes = sorted(dtypes, key=sorter)
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def print_table(field="can_cast"):
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print('X', end=' ')
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for dt in dtypes:
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print(np.dtype(dt.type).char, end=' ')
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print()
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for from_dt in dtypes:
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print(np.dtype(from_dt.type).char, end=' ')
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row = table.get(from_dt, {})
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for to_dt in dtypes:
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print(getattr(row.get(to_dt, no_cast_info), field), end=' ')
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print()
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if can_cast:
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# Print the actual table:
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print()
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print("Casting: # is equivalent, = is safe, ~ is same-kind, and . is unsafe")
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print()
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print_table("can_cast")
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if legacy:
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print()
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print("L denotes a legacy cast . a non-legacy one.")
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print()
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print_table("legacy")
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if flags:
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print()
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print(f"{flags_table[0]}: no flags, {flags_table[1]}: PyAPI, "
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f"{flags_table[2]}: supports unaligned, {flags_table[4]}: no-float-errors")
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print()
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print_table("flags")
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if __name__ == '__main__':
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print("can cast")
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print_cancast_table(np.typecodes['All'])
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print()
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print("In these tables, ValueError is '!', OverflowError is '@', TypeError is '#'")
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print()
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print("scalar + scalar")
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print_coercion_table(np.typecodes['All'], 0, 0, False)
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print()
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print("scalar + neg scalar")
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print_coercion_table(np.typecodes['All'], 0, -1, False)
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print()
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print("array + scalar")
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print_coercion_table(np.typecodes['All'], 0, 0, True)
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print()
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print("array + neg scalar")
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print_coercion_table(np.typecodes['All'], 0, -1, True)
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print()
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print("promote_types")
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print_coercion_table(np.typecodes['All'], 0, 0, False, True)
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print("New casting type promotion:")
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print_new_cast_table(can_cast=True, legacy=True, flags=True)
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