jenshnielsen

# https://github.com/microsoft/pyright/issues/219
def test_conditional(
    z: str | bool,
) -> None:
    z_is_stringy = isinstance(z, str)

    if z_is_stringy:
        z_upper = z.upper()

    if z_is_stringy:

jenshnielsen

❯ pip install spyder==5.0.0 decorator==5.0.5
Collecting spyder==5.0.0
  Using cached spyder-5.0.0-py3-none-any.whl (10.6 MB)
Collecting decorator==5.0.5
  Using cached decorator-5.0.5-py3-none-any.whl (8.8 kB)
Collecting cookiecutter>=1.6.0
  Using cached cookiecutter-1.7.2-py2.py3-none-any.whl (34 kB)
Collecting keyring>=17.0.0
  Using cached keyring-23.0.1-py3-none-any.whl (33 kB)
Collecting psutil>=5.3

jenshnielsen

from ctypes import byref, windll
from ctypes.wintypes import PULONG, LONG
import time
MinimumResolution = LONG()
MaximumResolution = LONG()
CurrentResolution = LONG()
windll.ntdll.NtQueryTimerResolution(byref(MinimumResolution), byref(MaximumResolution), byref(CurrentResolution))
print(f"Minimum {MinimumResolution}, " 
      f"Maximum {MaximumResolution}, "
      f"Current {CurrentResolution}")

jenshnielsen

jenshnielsen

#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Update a simple plot as rapidly as possible to measure speed.
"""

## Add path to library (just for examples; you do not need this)
import initExample

jenshnielsen

jenshnielsen

jenshnielsen

 Data loaded from file: ../../DCPYPS/dcpyps/samples/glydemo/keA.scn
Concentration of agonist = 300.000 microMolar
Resolution for HJC calculations = 40.0 microseconds
Critical gap length to define end of group (tcrit) = 0.600 milliseconds
	(defined so that all openings in a group prob come from same channel)
Initial and final vectors for bursts calculated asin Colquhoun, Hawkes & Srodzinski, (1996, eqs 5.8, 5.11).

Number of resolved intervals = 11662

jenshnielsen

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
    568/1    0.015    0.000  406.373  406.373 {built-in method builtins.exec}
        1    0.000    0.000  406.373  406.373 fitGlyR4.py:1(<module>)
        1    0.000    0.000  405.144  405.144 _minimize.py:36(minimize)
        1    0.257    0.257  405.144  405.144 optimize.py:390(_minimize_neldermead)
     5759    0.248    0.000  404.773    0.070 fitGlyR4.py:83(dcprogslik)
     5758    0.018    0.000  404.721    0.070 optimize.py:283(function_wrapper)
    23036    0.040    0.000  400.698    0.017 likelihood.py:1245(__call__)

jenshnielsen

         407795 function calls (397558 primitive calls) in 1.787 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
    569/1    0.016    0.000    1.788    1.788 {built-in method builtins.exec}
        1    0.000    0.000    1.788    1.788 fitAChR1.py:4(<module>)
        1    0.000    0.000    1.210    1.210 _minimize.py:36(minimize)
        1    0.010    0.010    1.210    1.210 optimize.py:390(_minimize_neldermead)
      468    0.002    0.000    1.195    0.003 fitAChR1.py:18(dcprogslik)