Closes #3742: move numeric module to arkouda.numpy (#3743)

Co-authored-by: Amanda Potts <ajpotts@users.noreply.github.com>

arkouda/__init__.py

@@ -13,7 +13,6 @@
 from arkouda.pdarraysetops import *
 from arkouda.pdarraycreation import *
 from arkouda.pdarraymanipulation import *
-from arkouda.numeric import *
 from arkouda.groupbyclass import *
 from arkouda.strings import *
 from arkouda.join import *

arkouda/alignment.py

@@ -6,12 +6,12 @@
 
 from arkouda.categorical import Categorical
 from arkouda.client import generic_msg
+from arkouda.groupbyclass import GroupBy, broadcast, unique
+from arkouda.numpy import cumsum, where
 from arkouda.numpy.dtypes import bigint
 from arkouda.numpy.dtypes import float64 as akfloat64
 from arkouda.numpy.dtypes import int64 as akint64
 from arkouda.numpy.dtypes import uint64 as akuint64
-from arkouda.groupbyclass import GroupBy, broadcast, unique
-from arkouda.numeric import cumsum, where
 from arkouda.pdarrayclass import create_pdarray, pdarray
 from arkouda.pdarraycreation import arange, full, ones, zeros
 from arkouda.pdarraysetops import concatenate, in1d
@@ -236,7 +236,6 @@ def find(query, space, all_occurrences=False, remove_missing=False):
 
             # create a segarray which contains all the indices from query
             # in our search space, instead of just the min for each segment
-
             # im not completely convinced there's not a better way to get this given the
             # amount of structure but this is not the bottleneck of the computation anymore
             min_k_vals = i[g.permutation][less_than]

arkouda/array_api/searching_functions.py

@@ -1,17 +1,16 @@
 from __future__ import annotations
 
-from .array_object import Array
-from ._dtypes import _real_numeric_dtypes, _real_floating_dtypes
-
-from typing import Optional, Tuple, Literal, cast
-
-from .manipulation_functions import squeeze, reshape, broadcast_arrays
+from typing import Literal, Optional, Tuple, cast
 
+import arkouda as ak
 from arkouda.client import generic_msg
-from arkouda.pdarrayclass import parse_single_value, create_pdarray, create_pdarrays
+from arkouda.numpy import cast as akcast
+from arkouda.pdarrayclass import create_pdarray, create_pdarrays, parse_single_value
 from arkouda.pdarraycreation import scalar_array
-from arkouda.numeric import cast as akcast
-import arkouda as ak
+
+from ._dtypes import _real_floating_dtypes, _real_numeric_dtypes
+from .array_object import Array
+from .manipulation_functions import broadcast_arrays, reshape, squeeze
 
 
 def argmax(x: Array, /, *, axis: Optional[int] = None, keepdims: bool = False) -> Array:

arkouda/array_api/statistical_functions.py

@@ -20,8 +20,8 @@
 import numpy as np
 
 from arkouda.client import generic_msg
+from arkouda.numpy import cast as akcast
 from arkouda.numpy.dtypes import dtype as akdtype
-from arkouda.numeric import cast as akcast
 from arkouda.pdarrayclass import create_pdarray, parse_single_value
 from arkouda.pdarraycreation import scalar_array
 

arkouda/categorical.py

@@ -23,8 +23,8 @@
 from arkouda.groupbyclass import GroupBy, unique
 from arkouda.infoclass import information
 from arkouda.logger import getArkoudaLogger
-from arkouda.numeric import cast as akcast
-from arkouda.numeric import where
+from arkouda.numpy import cast as akcast
+from arkouda.numpy import where
 from arkouda.numpy.dtypes import bool_ as akbool
 from arkouda.numpy.dtypes import dtype as akdtype
 from arkouda.numpy.dtypes import int64 as akint64

arkouda/client_dtypes.py

@@ -5,11 +5,11 @@
 import numpy as np
 from typeguard import typechecked
 
+from arkouda.groupbyclass import GroupBy, broadcast
+from arkouda.numpy import cast as akcast
+from arkouda.numpy import where
 from arkouda.numpy.dtypes import bitType, intTypes, isSupportedInt
 from arkouda.numpy.dtypes import uint64 as akuint64
-from arkouda.groupbyclass import GroupBy, broadcast
-from arkouda.numeric import cast as akcast
-from arkouda.numeric import where
 from arkouda.pdarrayclass import RegistrationError, pdarray
 from arkouda.pdarraycreation import arange, array, create_pdarray, zeros
 from arkouda.strings import Strings

arkouda/dataframe.py

@@ -17,18 +17,18 @@
 from arkouda.categorical import Categorical
 from arkouda.client import generic_msg, maxTransferBytes
 from arkouda.client_dtypes import BitVector, Fields, IPv4
-from arkouda.numpy.dtypes import bigint
-from arkouda.numpy.dtypes import bool_ as akbool
-from arkouda.numpy.dtypes import float64 as akfloat64
-from arkouda.numpy.dtypes import int64 as akint64
-from arkouda.numpy.dtypes import uint64 as akuint64
 from arkouda.groupbyclass import GROUPBY_REDUCTION_TYPES
 from arkouda.groupbyclass import GroupBy as akGroupBy
 from arkouda.groupbyclass import unique
 from arkouda.index import Index, MultiIndex
 from arkouda.join import inner_join
-from arkouda.numeric import cast as akcast
-from arkouda.numeric import cumsum, where
+from arkouda.numpy import cast as akcast
+from arkouda.numpy import cumsum, where
+from arkouda.numpy.dtypes import bigint
+from arkouda.numpy.dtypes import bool_ as akbool
+from arkouda.numpy.dtypes import float64 as akfloat64
+from arkouda.numpy.dtypes import int64 as akint64
+from arkouda.numpy.dtypes import uint64 as akuint64
 from arkouda.pdarrayclass import RegistrationError, pdarray
 from arkouda.pdarraycreation import arange, array, create_pdarray, full, zeros
 from arkouda.pdarraysetops import concatenate, in1d, intersect1d

arkouda/groupbyclass.py

@@ -23,13 +23,13 @@
 from typeguard import typechecked
 
 from arkouda.client import generic_msg
+from arkouda.logger import getArkoudaLogger
 from arkouda.numpy.dtypes import _val_isinstance_of_union, bigint
 from arkouda.numpy.dtypes import float64 as akfloat64
 from arkouda.numpy.dtypes import float_scalars
 from arkouda.numpy.dtypes import int64 as akint64
 from arkouda.numpy.dtypes import int_scalars
 from arkouda.numpy.dtypes import uint64 as akuint64
-from arkouda.logger import getArkoudaLogger
 from arkouda.pdarrayclass import RegistrationError, create_pdarray, is_sorted, pdarray
 from arkouda.pdarraycreation import arange, full
 from arkouda.random import default_rng
@@ -262,7 +262,7 @@ def __init__(
         dropna: bool = True,
         **kwargs,
     ):
-        from arkouda.numeric import isnan
+        from arkouda.numpy import isnan
 
         def drop_na_keys():
             if self.dropna is True:
@@ -1733,8 +1733,8 @@ def sample(
             if return_indices is True, return the indices of the sampled values.
             Otherwise, return the sample values.
         """
-        from arkouda.numeric import cast as akcast
-        from arkouda.numeric import round as akround
+        from arkouda.numpy import cast as akcast
+        from arkouda.numpy import round as akround
 
         if frac is not None and n is not None:
             raise ValueError("Please enter a value for `frac` OR `n`, not both")

arkouda/index.py

@@ -10,11 +10,11 @@
 from typeguard import typechecked
 
 from arkouda import Categorical, Strings
+from arkouda.groupbyclass import GroupBy, unique
+from arkouda.numpy import cast as akcast
 from arkouda.numpy.dtypes import bool_ as akbool
 from arkouda.numpy.dtypes import float64 as akfloat64
 from arkouda.numpy.dtypes import int64 as akint64
-from arkouda.groupbyclass import GroupBy, unique
-from arkouda.numeric import cast as akcast
 from arkouda.pdarrayclass import RegistrationError, pdarray
 from arkouda.pdarraycreation import arange, array, create_pdarray, ones
 from arkouda.pdarraysetops import argsort, in1d

arkouda/join.py

@@ -6,11 +6,11 @@
 from arkouda.alignment import right_align
 from arkouda.categorical import Categorical
 from arkouda.client import generic_msg
+from arkouda.groupbyclass import GroupBy, broadcast
+from arkouda.numpy import cumsum
 from arkouda.numpy.dtypes import NUMBER_FORMAT_STRINGS
 from arkouda.numpy.dtypes import int64 as akint64
 from arkouda.numpy.dtypes import resolve_scalar_dtype
-from arkouda.groupbyclass import GroupBy, broadcast
-from arkouda.numeric import cumsum
 from arkouda.pdarrayclass import create_pdarray, pdarray
 from arkouda.pdarraycreation import arange, array, ones, zeros
 from arkouda.pdarraysetops import concatenate, in1d