deleted zebra.py
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import h5py
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import numpy as np
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def read_h5meta(filepath):
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"""Read and parse content of a h5meta file.
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Args:
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filepath (str): File path of a h5meta file.
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Returns:
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dict: A dictionary with section names and their content.
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"""
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h5meta_content = dict()
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with open(filepath, "r") as h5meta_file:
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line = h5meta_file.readline()
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while line:
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if line.startswith("#begin"):
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# read section
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section = line[7:-1] # len("#begin ") = 7
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h5meta_content[section] = []
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line = h5meta_file.readline()
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while not line.startswith("#end"):
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h5meta_content[section].append(line[:-1])
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line = h5meta_file.readline()
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# read next line after section's end
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line = h5meta_file.readline()
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return h5meta_content
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def read_detector_data(filepath):
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"""Read detector data from an h5 file.
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Args:
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filepath (str): File path of an h5 file.
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Returns:
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ndarray: A 3D array of data.
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"""
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with h5py.File(filepath, "r") as h5f:
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detector_data = h5f["/entry1/area_detector2/data"][:]
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# reshape data to a correct shape (2006 issue)
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n, cols, rows = detector_data.shape
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detector_data = detector_data.reshape(n, rows, cols)
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return detector_data
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def open_h5meta(filepath):
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"""Open h5meta file
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Args:
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filepath (str): File path of a h5meta file.
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Returns:
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dict: A dictionary with h5 names and their detector data.
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"""
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data = dict()
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h5meta_content = read_h5meta(filepath)
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for file in h5meta_content["filelist"]:
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data[file] = read_detector_data(file)
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return data
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def z4frgn(wave,ga,nu):
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"""CALCULATES DIFFRACTION VECTOR IN LAB SYSTEM FROM GA AND NU
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Args:
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WAVE,GA,NU
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Returns:
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Z4
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"""
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sin = np.sin
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cos = np.cos
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pir = 180/np.pi
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gar = ga/pir
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nur = nu/pir
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z4 = [0., 0., 0.]
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z4[0]=( sin(gar)*cos(nur) )/wave
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z4[1]=( cos(gar)*cos(nur)-1. )/wave
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z4[2]=( sin(nur) )/wave
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return z4
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