adding convertVAX_LOTColumnToUpperCase() in VaersDescrReader
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@@ -167,45 +167,3 @@ class SymptomByBatchcodeTableFactoryTest(unittest.TestCase):
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index = pd.MultiIndex.from_tuples(
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names = ['VAX_LOT1', 'VAX_LOT2'],
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tuples = [['1808982', 'EW0175']] * 13 + [['EW0167', 'EW0175']] * 10)))
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def test_createSymptomByBatchcodeTable_after_convertVAX_LOTColumnToUpperCase(self):
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# Given
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VAX_LOT = 'EW0175'
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VAX_LOT_lower = VAX_LOT.lower()
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VAERSVAX = TestHelper.createDataFrame(
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columns = ['VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES'],
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data = [ ['COVID19', 'JANSSEN', VAX_LOT, '1'],
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['COVID19', 'JANSSEN', VAX_LOT_lower, '1']],
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index = pd.Index(
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name = 'VAERS_ID',
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data=[
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2547730,
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2547731]),
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dtypes = {
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'VAX_DOSE_SERIES': 'string',
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'VAX_LOT': 'string'})
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VAERSSYMPTOMS = TestHelper.createDataFrame(
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columns = ['SYMPTOM1', 'SYMPTOM2', 'SYMPTOM3', 'SYMPTOM4', 'SYMPTOM5'],
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data = [ ['Blood pressure orthostatic abnormal', np.nan, np.nan, np.nan, np.nan],
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['Blood pressure orthostatic abnormal', np.nan, np.nan, np.nan, np.nan]],
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index = pd.Index(
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name = 'VAERS_ID',
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data=[
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2547730,
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2547731]))
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# When
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symptomByBatchcodeTable = SymptomByBatchcodeTableFactory.createSymptomByBatchcodeTable(VAERSVAX, VAERSSYMPTOMS)
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# Then
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assert_frame_equal(
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symptomByBatchcodeTable,
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TestHelper.createDataFrame(
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columns = ['SYMPTOM'],
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data = [ ['Blood pressure orthostatic abnormal'],
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['Blood pressure orthostatic abnormal']],
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index = pd.Index(
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name = 'VAX_LOT1',
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data = [VAX_LOT,
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VAX_LOT])),
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check_dtype = False)
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