Use @njit throughout

piker/fsp/__init__.py

@@ -1,5 +1,5 @@
 # piker: trading gear for hackers
-# Copyright (C) 2018-present  Tyler Goodlet (in stewardship of piker0)
+# Copyright (C) Tyler Goodlet (in stewardship for piker0)
 
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published by

piker/fsp/_momo.py

@@ -20,7 +20,7 @@ Momentum bby.
 from typing import AsyncIterator, Optional
 
 import numpy as np
-from numba import jit, float64, optional, int64
+from numba import njit, float64, optional, int64
 
 from ..data._normalize import iterticks
 
@@ -29,13 +29,12 @@ from ..data._normalize import iterticks
 # - how to handle non-plottable values
 # - composition of fsps / implicit chaining
 
-@jit(
+@njit(
     float64[:](
         float64[:],
         optional(float64),
         optional(float64)
     ),
-    nopython=True,
     nogil=True
 )
 def ema(
@@ -94,7 +93,7 @@ def ema(
     return s
 
 
-# @jit(
+# @njit(
 #     float64[:](
 #         float64[:],
 #         int64,

piker/fsp/_volume.py

@@ -1,5 +1,5 @@
 # piker: trading gear for hackers
-# Copyright (C) 2018-present  Tyler Goodlet (in stewardship of piker0)
+# Copyright (C) Tyler Goodlet (in stewardship for piker0)
 
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published by

piker/ui/_graphics/_ohlc.py

@@ -21,7 +21,7 @@ from typing import List, Optional, Tuple
 
 import numpy as np
 import pyqtgraph as pg
-from numba import jit, float64, int64  # , optional
+from numba import njit, float64, int64  # , optional
 from PyQt5 import QtCore, QtGui, QtWidgets
 from PyQt5.QtCore import QLineF, QPointF
 # from numba import types as ntypes
@@ -70,7 +70,7 @@ def lines_from_ohlc(row: np.ndarray, w: float) -> Tuple[QLineF]:
     return [hl, o, c]
 
 
-@jit(
+@njit(
     # TODO: for now need to construct this manually for readonly arrays, see
     # https://github.com/numba/numba/issues/4511
     # ntypes.Tuple((float64[:], float64[:], float64[:]))(
@@ -78,7 +78,6 @@ def lines_from_ohlc(row: np.ndarray, w: float) -> Tuple[QLineF]:
     #     int64,
     #     optional(float64),
     # ),
-    nopython=True,
     nogil=True
 )
 def path_arrays_from_ohlc(