PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
from typing import Any import numpy as np f8 = np.float64() i8 = np.int64() u8 = np.uint64() f4 = np.float32() i4 = np.int32() u4 = np.uint32() td = np.timedelta64(0, "D") b_ = np.bool_() b = bool() f = float() i = int() AR_b: np.ndarray[Any, np.dtype[np.bool_]] AR_m: np.ndarray[Any, np.dtype[np.timedelta64]] # Time structures reveal_type(td % td) # E: timedelta64 reveal_type(AR_m % td) # E: Any reveal_type(td % AR_m) # E: Any reveal_type(divmod(td, td)) # E: Tuple[{int64}, timedelta64] reveal_type(divmod(AR_m, td)) # E: Tuple[ndarray[Any, dtype[signedinteger[typing._64Bit]]], ndarray[Any, dtype[timedelta64]]] reveal_type(divmod(td, AR_m)) # E: Tuple[ndarray[Any, dtype[signedinteger[typing._64Bit]]], ndarray[Any, dtype[timedelta64]]] # Bool reveal_type(b_ % b) # E: {int8} reveal_type(b_ % i) # E: {int_} reveal_type(b_ % f) # E: {float64} reveal_type(b_ % b_) # E: {int8} reveal_type(b_ % i8) # E: {int64} reveal_type(b_ % u8) # E: {uint64} reveal_type(b_ % f8) # E: {float64} reveal_type(b_ % AR_b) # E: ndarray[Any, dtype[{int8}]] reveal_type(divmod(b_, b)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(b_, i)) # E: Tuple[{int_}, {int_}] reveal_type(divmod(b_, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(b_, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(b_, u8)) # E: Tuple[{uint64}, {uint64}] reveal_type(divmod(b_, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, AR_b)) # E: ndarray[Any, dtype[{int8}]], ndarray[Any, dtype[{int8}]]] reveal_type(b % b_) # E: {int8} reveal_type(i % b_) # E: {int_} reveal_type(f % b_) # E: {float64} reveal_type(b_ % b_) # E: {int8} reveal_type(i8 % b_) # E: {int64} reveal_type(u8 % b_) # E: {uint64} reveal_type(f8 % b_) # E: {float64} reveal_type(AR_b % b_) # E: ndarray[Any, dtype[{int8}]] reveal_type(divmod(b, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(i, b_)) # E: Tuple[{int_}, {int_}] reveal_type(divmod(f, b_)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(i8, b_)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(u8, b_)) # E: Tuple[{uint64}, {uint64}] reveal_type(divmod(f8, b_)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(AR_b, b_)) # E: ndarray[Any, dtype[{int8}]], ndarray[Any, dtype[{int8}]]] # int reveal_type(i8 % b) # E: {int64} reveal_type(i8 % i) # E: {int64} reveal_type(i8 % f) # E: {float64} reveal_type(i8 % i8) # E: {int64} reveal_type(i8 % f8) # E: {float64} reveal_type(i4 % i8) # E: {int64} reveal_type(i4 % f8) # E: {float64} reveal_type(i4 % i4) # E: {int32} reveal_type(i4 % f4) # E: {float32} reveal_type(i8 % AR_b) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(divmod(i8, b)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, i)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i4)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f4)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i4)) # E: Tuple[{int32}, {int32}] reveal_type(divmod(i4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(i8, AR_b)) # E: Tuple[ndarray[Any, dtype[signedinteger[Any]]], ndarray[Any, dtype[signedinteger[Any]]]] reveal_type(b % i8) # E: {int64} reveal_type(i % i8) # E: {int64} reveal_type(f % i8) # E: {float64} reveal_type(i8 % i8) # E: {int64} reveal_type(f8 % i8) # E: {float64} reveal_type(i8 % i4) # E: {int64} reveal_type(f8 % i4) # E: {float64} reveal_type(i4 % i4) # E: {int32} reveal_type(f4 % i4) # E: {float32} reveal_type(AR_b % i8) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(divmod(b, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f8, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f4, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i4)) # E: Tuple[{int32}, {int32}] reveal_type(divmod(f4, i4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(AR_b, i8)) # E: Tuple[ndarray[Any, dtype[signedinteger[Any]]], ndarray[Any, dtype[signedinteger[Any]]]] # float reveal_type(f8 % b) # E: {float64} reveal_type(f8 % i) # E: {float64} reveal_type(f8 % f) # E: {float64} reveal_type(i8 % f4) # E: {float64} reveal_type(f4 % f4) # E: {float32} reveal_type(f8 % AR_b) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(divmod(f8, b)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, i)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f4)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(f8, AR_b)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(b % f8) # E: {float64} reveal_type(i % f8) # E: {float64} reveal_type(f % f8) # E: {float64} reveal_type(f8 % f8) # E: {float64} reveal_type(f8 % f8) # E: {float64} reveal_type(f4 % f4) # E: {float32} reveal_type(AR_b % f8) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(divmod(b, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(AR_b, f8)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]]
[-] arraysetops.pyi
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[-] lib_utils.pyi
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[-] ndarray_misc.pyi
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[-] numerictypes.pyi
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[-] stride_tricks.pyi
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[-] random.pyi
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[-] linalg.pyi
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[-] memmap.pyi
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[-] matrix.pyi
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[-] ufunclike.pyi
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[-] arrayterator.pyi
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[-] constants.pyi
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[-] lib_function_base.pyi
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[-] einsumfunc.pyi
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[-] modules.pyi
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[-] flatiter.pyi
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[-] false_positives.pyi
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[-] array_constructors.pyi
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[-] testing.pyi
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[-] lib_version.pyi
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[-] ctypeslib.pyi
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[-] fromnumeric.pyi
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[-] histograms.pyi
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[-] dtype.pyi
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[-] numeric.pyi
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[-] lib_polynomial.pyi
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[-] nbit_base_example.pyi
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[-] datasource.pyi
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[-] chararray.pyi
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[-] emath.pyi
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[-] type_check.pyi
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[-] rec.pyi
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[-] version.pyi
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[-] mod.pyi
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[-] warnings_and_errors.pyi
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[-] arithmetic.pyi
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[-] arrayprint.pyi
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