Revert "Update load_1D.py"
This reverts commit cc3f1d28a5670dad6fdaec83a19edbee0b1a09ce.
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cc3f1d28a5
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@ -2,22 +2,7 @@ import re
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import numpy as np
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from decimal import Decimal
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def load_1D(filepath):
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"""
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Loads *.ccl or *.dat file (Distinguishes them based on last 3 chars in string of filepath
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to add more variables to read, extend the elif list
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the file must include '#data' and number of points in right place to work properly
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:arg filepath
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:returns det_variables
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- dictionary of all detector/scan variables and dictinionary for every measurement.
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Names of these dictionaries are M + measurement number. They include HKL indeces, angles, monitors,
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stepsize and array of counts
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"""
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det_variables = {"file_type": str(filepath)[-3:], "meta": {}}
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meta_vars_str = (
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META_VARS_STR = (
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"instrument",
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"title",
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"sample",
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@ -31,7 +16,7 @@ def load_1D(filepath):
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"proposal_title",
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"proposal_email",
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)
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meta_vars_float = (
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META_VARS_FLOAT = (
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"mf",
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"2-theta",
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"chi",
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@ -66,28 +51,35 @@ def load_1D(filepath):
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"s2hr",
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"s2hl",
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)
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meta_ub_matrix = ("ub1j", "ub2j", "ub3j")
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META_UB_MATRIX = ("ub1j", "ub2j", "ub3j")
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def load_1D(filepath):
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"""
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Loads *.ccl or *.dat file (Distinguishes them based on last 3 chars in string of filepath
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to add more variables to read, extend the elif list
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the file must include '#data' and number of points in right place to work properly
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:arg filepath
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:returns det_variables
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- dictionary of all detector/scan variables and dictinionary for every measurement.
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Names of these dictionaries are M + measurement number. They include HKL indeces, angles,
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monitors, stepsize and array of counts
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"""
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det_variables = {"file_type": str(filepath)[-3:], "meta": {}}
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with open(filepath, "r") as infile:
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for line in infile:
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det_variables["Measurements"] = {}
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if "=" in line:
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variable, value = line.split("=")
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variable = variable.strip()
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try:
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if variable in meta_vars_float:
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if variable in META_VARS_FLOAT:
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det_variables["meta"][variable] = float(value)
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elif variable in meta_vars_str:
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elif variable in META_VARS_STR:
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det_variables["meta"][variable] = str(value)[:-1].strip()
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elif variable in meta_ub_matrix:
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det_variables["meta"][variable] = re.findall(
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r"[-+]?\d*\.\d+|\d+", str(value)
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)
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except ValueError as error:
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print(
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"Some values are not in expected format (str or float), error:",
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str(error),
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)
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elif variable in META_UB_MATRIX:
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det_variables["meta"][variable] = re.findall(r"[-+]?\d*\.\d+|\d+", str(value))
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elif "#data" in line:
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if det_variables["file_type"] == "ccl":
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decimal = list()
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@ -119,7 +111,6 @@ def load_1D(filepath):
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d["gamma_angle"] = float(lines.split()[4]) # gamma
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d["omega_angle"] = float(lines.split()[5]) # omega
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d["nu_angle"] = float(lines.split()[6]) # nu
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d["unkwn_angle"] = float(lines.split()[7])
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next_line = data[position + 1]
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d["number_of_measurements"] = int(next_line.split()[0])
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@ -146,12 +137,6 @@ def load_1D(filepath):
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)
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d["counts"] = counts
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det_variables["Measurements"][str("M" + str(measurement_number))] = d
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if all(decimal):
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det_variables["meta"]["indices"] = "hkl"
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else:
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det_variables["meta"]["indices"] = "real"
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print("indeces:", det_variables["meta"]["indices"])
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elif det_variables["file_type"] == "dat":
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data = infile.readlines()
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@ -177,6 +162,9 @@ def load_1D(filepath):
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det_variables["Measurements"]["time"] = time
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else:
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print("Unknown file extention")
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if all(decimal):
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det_variables["meta"]["indices"] = "hkl"
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else:
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det_variables["meta"]["indices"] = "real"
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return det_variables
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