Various minimal changes.
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f9e40711e7
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c050174ca3
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@ -28,11 +28,11 @@ TIME_SEGMENTS: &time_segments
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TIMEZONE:
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TIMEZONE:
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TYPE: SINGLE
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TYPE: SINGLE
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SINGLE:
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SINGLE:
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TZCODE: America/New_York
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TZCODE: Europe/Ljubljana
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MULTIPLE:
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MULTIPLE:
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TZCODES_FILE: data/external/multiple_timezones_example.csv
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TZCODES_FILE: data/external/multiple_timezones_example.csv
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IF_MISSING_TZCODE: STOP
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IF_MISSING_TZCODE: STOP
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DEFAULT_TZCODE: America/New_York
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DEFAULT_TZCODE: Europe/Ljubljana
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FITBIT:
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FITBIT:
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ALLOW_MULTIPLE_TZ_PER_DEVICE: False
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ALLOW_MULTIPLE_TZ_PER_DEVICE: False
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INFER_FROM_SMARTPHONE_TZ: False
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INFER_FROM_SMARTPHONE_TZ: False
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@ -1,2 +1,2 @@
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label,length
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label,length
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thirtyminutes,30
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fiveminutes,5
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@ -118,7 +118,7 @@ dependencies:
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- h5py==3.6.0
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- h5py==3.6.0
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- ipython-genutils==0.2.0
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- ipython-genutils==0.2.0
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- jupyter-core==4.6.3
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- jupyter-core==4.6.3
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- kiwisolver==1.4.1
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- kiwisolver==1.4.2
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- matplotlib==3.5.1
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- matplotlib==3.5.1
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- nbformat==5.0.7
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- nbformat==5.0.7
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- opencv-python==4.5.5.64
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- opencv-python==4.5.5.64
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@ -12,7 +12,6 @@ def getSampleRate(data):
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except:
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except:
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raise Exception("Error occured while trying to get the mean sample rate from the data.")
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raise Exception("Error occured while trying to get the mean sample rate from the data.")
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print(1000/timestamps_diff)
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return 1000/timestamps_diff
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return 1000/timestamps_diff
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def extractAccFeaturesFromIntradayData(acc_intraday_data, features, time_segment, filter_data_by_segment):
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def extractAccFeaturesFromIntradayData(acc_intraday_data, features, time_segment, filter_data_by_segment):
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