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Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

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sudo apt-get install nvidia-opencl-dev

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# wifi 
sudo apt-get install bcmwl-kernel-source

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# If you get the error:

# The following packages have unmet dependencies:
# mpv : Depends: libva-x11-1 (>= 1.0.3) but it is not going to be installed
# E: Unable to correct problems, you have held broken packages.

# Workaround:

sudo aptitude install mpv
# Accept this solution?

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Intel® Core™ i7-7567U CPU @ 3.50GHz × 4
Intel® Iris Plus Graphics 650 (Kaby Lake GT3e)


Number of platforms                               2
  Platform Name                                   Intel(R) OpenCL
  Platform Vendor                                 Intel(R) Corporation
  Platform Version                                OpenCL 2.0 
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_spir

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MacBookPro14,2: MacBookPro 13 Retina with Touchbar
  Model A1706 EMC 3163
  Serial C02v8055HV2V
  
 no keyboard
 no touch pad
 no touch bar
 no wifi (bad signal)
 
 cb22/macbook12-spi-drivers ("applespi")

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# get OpenCL driver automated installer (installs kernel 4.7)
curl https://software.intel.com/sites/default/files/managed/f6/77/install_OCL_driver.sh_.txt > install_OCL_driver.sh
chmod +x install_OCL_driver.sh
# install OpenCL driver
sudo ./install_OCL_driver.sh install
# check
ls /boot/vmlinuz-*intel*

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def update_params(params):
    # update params if user said 'auto', otherwise take user specified value
    # a first try at reusing for all params the same code for that logic
    for param_key, param_value in params.items():
        actual_key = 'actual_' + param_key
        # Is this a param that has a user mode?
        has_user_mode = actual_key in params
        if has_user_mode:
            if param_value is 'user-forced':
                # we could even do more checks here, maybe param-specific

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import itertools
import numpy as np
from numpy.fft import fftn as npfftn
from numpy.testing import assert_array_almost_equal
import pyopencl as cl
import pyopencl.array
from reikna import cluda
from reikna.fft import FFT as reikna_FFT

# Select device

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# Implementation of count (in Julia v0.3)
# Christophe MEYER 2015

# count the number of times v appears in the sorted vector A
function count(A, v)
  assert(issorted(A))
  lower = findbound(A, v, :lower)
  upper = findbound(A, v, :upper)
  found = lower > 0 && upper > 0
  if found