Postproc hkl indices only for ccl files
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426bb16792
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@ -172,6 +172,9 @@ def parse_1D(fileobj, data_type):
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counts.extend(map(float, next(fileobj).split()))
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counts.extend(map(float, next(fileobj).split()))
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s["Counts"] = np.array(counts)
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s["Counts"] = np.array(counts)
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if s["h"].is_integer() and s["k"].is_integer() and s["l"].is_integer():
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s["h"], s["k"], s["l"] = map(int, (s["h"], s["k"], s["l"]))
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scan.append({**metadata, **s})
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scan.append({**metadata, **s})
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elif data_type == ".dat":
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elif data_type == ".dat":
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@ -230,10 +233,6 @@ def parse_1D(fileobj, data_type):
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else:
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else:
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print("Unknown file extention")
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print("Unknown file extention")
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for s in scan:
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if s["h"].is_integer() and s["k"].is_integer() and s["l"].is_integer():
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s["h"], s["k"], s["l"] = map(int, (s["h"], s["k"], s["l"]))
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return scan
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return scan
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