CJ-Wright

from numba import cuda
import numpy as np

@cuda.jit
def foo(arr):
    for i in range(arr.size):
        arr[i] += i

A = np.arange(10000)
B = np.arange(10000)

CJ-Wright

Traceback (most recent call last):
  File "/home/christopher/mc/envs/dp/bin/pyFAI-calib", line 47, in <module>
    import pyFAI
ImportError: No module named pyFAI

CJ-Wright

---------------------------------------------------------------------------
DatumNotFound                             Traceback (most recent call last)
<ipython-input-26-0b516695237d> in <module>()
----> 1 ev0 = next(events)

/mnt/work-data/other_src/databroker/databroker/databroker.pyc in get_events(headers, fields, fill, handler_registry, handler_overrides)
    402                     # (else omit it from the events of this descriptor)
    403                 if fill:
--> 404                     fill_event(event, handler_registry, handler_overrides)
    405                 yield event

CJ-Wright

#!/usr/bin/env bash
# Start in the home dir
cd
# Need to install/start mongo

# install miniconda
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O ~/miniconda.sh
chmod +x miniconda.sh
./miniconda.sh -b -p ~/mc

CJ-Wright

# packages in environment at /mnt/work-data/other_src/mc/envs/master_dev2:
#
accelerate                2.2.0               np110py27_0    defaults
accelerate_cudalib        2.0                           0    defaults
ase                       3.12.0b1                  <pip>
atk                       2.8.0                         0    mw
backports                 1.0                      py27_0    defaults
backports-abc             0.4                       <pip>
backports.shutil-get-terminal-size 1.0.0                     <pip>
backports.shutil_get_terminal_size 1.0.0                    py27_0    conda-forge

CJ-Wright

In [81]: retrieve(e['data']['pe1_image'])
Out[81]: 
array([[    0.        ,     0.        ,     0.        , ...,
            0.        ,     0.        ,     0.        ],
       [ 4844.60009766,  4847.5       ,  4862.58349609, ...,
         4563.81689453,  4625.20019531,  4574.41650391],
       [ 4883.38330078,  4861.45019531,  4895.26660156, ...,
         4736.98339844,  4641.60009766,  4626.58349609],
       ..., 
       [ 4739.86669922,  4723.53320312,  4718.79980469, ...,

CJ-Wright

from magic import integrate
functions_dict = {integrate:[(args),{kwargs}} # ask people about more elegant way to do this

def __init__(self, functions_dict):
    self.functions_dict = functions_dict

def run_analysis(self):
    for data in self.data:
        for func, v in self.functions_dict.items():
            ret = func(img, *v[0], *v[1])

CJ-Wright

import time
import os
import numpy as np
from bluesky.plans import (scan, subs_wrapper, abs_set, pchain,
                           reset_positions_wrapper, count, list_scan,
                           open_run, close_run, stage, unstage,
                           trigger_and_read, checkpoint, sleep, wait)
from bluesky.callbacks.broker import post_run, LiveTiffExporter
from bluesky.callbacks import LiveTable, LivePlot
from bluesky.plan_tools import print_summary

CJ-Wright

from pyFAI.geometry import Geometry

from skbeam.core.utils import radius_to_twotheta
from skbeam.core.utils import twotheta_to_q
from numpy.testing import assert_array_almost_equal
import matplotlib.pyplot as plt

geo = Geometry(
    detector='Perkin', pixel1=.0002, pixel2=.0002,
    dist=.23,

CJ-Wright

import databroker.databroker as db

def export_daemon():
    last_updated = now
    while True:
        last_updated_2 = now
        hdrs = db(start_time=last_updated))
        last_updated = last_updated_2.copy()
        if hdrs:
            for hdr in hdrs: