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import numpy as np
def blazed_profile(XX,YY, grating_pitch, wavelength, n1, n0=1, m=1, direction="right", blaze_arrow_angle=0, round_decimals=7): 
    """
    Returns the height profile of a blazed gratin
    
    Args:
        :XX:            x array from meshgrid 
        :YY:            y array from meshgrid 
        :grating_pitch:   pitch of the grating, that sets the diffraction angle and blaze angle
        :wavelength:    wavelength of design

daguiam

from PIL import Image

Image.MAX_IMAGE_PIXELS = 933120000



def join_masks_with_template(filename_mask, filename_template, filename_output, center=True):

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import pya 




import sys
import os
from matplotlib import pyplot as plt 
import numpy as np 

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Software name	Software Purpose	Link
AutoCAD	CAD	According to our licenses
Ansys Lumerical	CAD	According to our licenses
KLayout	CAD	https://www.klayout.de/build.html
Altium Designer	CAD	\\inl-fps01\Data\Nanofab\8 - Other\1 - Software\Altium
National Instruments NI-DAQ mx	Electronics Programming	https://www.ni.com/en-sg/support/downloads/drivers/download.ni-daq-mx.html
Inkscape	Image/video manipulation	https://inkscape.org/
GIMP	Image/video manipulation	https://www.gimp.org/
Blender	Image/video manipulation	https://www.blender.org/download/
ImageJ	Image/video manipulation	https://imagej.nih.gov/ij/download.html

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def interpolate_data(x,y,z, step_y, mincount=400):
    """ Assumes the x is repeated samples and y is the non-periodic signal
    
        """
    step = step_y

    x_list = []
    y_list = []
    z_list = []

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import numpy as np
import matplotlib.pyplot as plt

import os
from scipy import interpolate

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import json
import numpy as np
from json import JSONEncoder

def open_data_file(filename):
    # Load data from json file
    with open(filename, 'r') as fp:
        json_dict = json.load(fp)
    return json_dict
        

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import sounddevice as sd
import numpy as np
import scipy.io.wavfile as wav


# print(sd.query_devices())

device_list = sd.query_devices()

# find and select index of Line (UMIK-2)

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import numpy as np
import matplotlib.pyplot as plt

from scipy import constants as const
import nidaqmx

# Creating the actuation signal

max_displacement = 250*1e-9
f_displacement = 10000

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plt.grid()
plt.minorticks_on()
plt.grid(True, which='minor', linestyle='-', lw=0.1)