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How to use set_data_type method in autotest

Best Python code snippet using autotest_python

schemas.py

Source:schemas.py

...78# region locations79table_name = "locations"80text_fields = ['Site ID', 'Hospital']81for col in text_fields:82    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")83# endregion84# region surgeons85table_name = "surgeons"86text_fields = ['Surgeon ID', 'Name']87for col in text_fields:88    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")89# endregion90# region cost_matrix91table_name = "cost_matrix"92text_fields = ['Origin Site ID', 'Dest. Site ID']93input_schema.set_data_type(table_name, 'Transp. Cost', must_be_int=False, min=0, max=float('inf'),94                           inclusive_min=True, inclusive_max=False)95for col in text_fields:96    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")97input_schema.add_foreign_key(table_name, 'locations', [('Origin Site ID', 'Site ID')])98input_schema.add_foreign_key(table_name, 'locations', [('Dest. Site ID', 'Site ID')])99# endregion100# region tissues101table_name = "tissues"102text_fields = ['Tissue ID', 'Current Site ID']103flag_fields = ['PK', 'DSAEK', 'DMEK', 'Diabetes', 'Cancer', 'Artificial Lens', 'Moderate Folds',104               'LASIK Scar', 'Returned']105input_schema.set_data_type(table_name, 'Death to Recovery (hrs.)', must_be_int=False, min=0, max=100,106                           inclusive_min=False, inclusive_max=True)107input_schema.set_data_type(table_name, 'Death to Surgery (days)', must_be_int=False, min=0, max=100,108                           inclusive_min=False, inclusive_max=True)109input_schema.set_data_type(table_name, 'Death to Cooling (hrs.)', must_be_int=False, min=0, max=100,110                           inclusive_min=False, inclusive_max=True)111input_schema.set_data_type(table_name, 'Donor Age', must_be_int=True, min=0, max=120,112                           inclusive_min=False, inclusive_max=True)113input_schema.set_data_type(table_name, 'Cell Count', must_be_int=True, min=0, max=float('inf'),114                           inclusive_min=False, inclusive_max=False)115input_schema.set_data_type(table_name, 'Clear Zone', must_be_int=False, min=0, max=50,116                           inclusive_min=True, inclusive_max=False)117for col in text_fields:118    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")119for col in flag_fields:120    input_schema.set_data_type(table_name, col, must_be_int=True, min=0, max=1, inclusive_min=True, inclusive_max=True)121input_schema.add_foreign_key(table_name, 'locations', [('Current Site ID', 'Site ID')])122# endregion123# region requests124table_name = "requests"125text_fields = ['Site ID', 'Surgeon ID']126flag_fields = ['Exclude Tissue Returned', 'Exclude Cancer', 'Exclude Diabetes', 'Exclude LASIK Scars',127               'Exclude Mated Set', 'Exclude Moderate Folds', 'Exclude Artificial Lens']128input_schema.set_data_type(table_name, 'Tissue Use', strings_allowed=['PK', 'DSAEK', 'DMEK'])129input_schema.set_data_type(table_name, 'Age Min', must_be_int=True, min=0, max=120,130                           inclusive_min=True, inclusive_max=True)131input_schema.set_data_type(table_name, 'Age Max', must_be_int=True, min=0, max=120,132                           inclusive_min=True, inclusive_max=True)133input_schema.set_data_type(table_name, 'Cell Count Min', must_be_int=True, min=0, max=float('inf'),134                           inclusive_min=True, inclusive_max=False)135input_schema.set_data_type(table_name, 'Death to Recovery Max (hrs.)', must_be_int=False, min=0, max=100,136                           inclusive_min=True, inclusive_max=True)137input_schema.set_data_type(table_name, 'Death to Surgery Max (days)', must_be_int=False, min=0, max=100,138                           inclusive_min=True, inclusive_max=True)139input_schema.set_data_type(table_name, 'Death to Cooling Max (hrs.)', must_be_int=False, min=0, max=100,140                           inclusive_min=True, inclusive_max=True)141input_schema.set_data_type(table_name, 'Clear Zone Min', must_be_int=False, min=0, max=50,142                           inclusive_min=True, inclusive_max=False)143for col in text_fields:144    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")145for col in flag_fields:146    input_schema.set_data_type(table_name, col, must_be_int=True, min=0, max=1, inclusive_min=True, inclusive_max=True)147input_schema.add_foreign_key(table_name, 'surgeons', [('Surgeon ID', 'Surgeon ID')])148input_schema.add_foreign_key(table_name, 'locations', [('Site ID', 'Site ID')])149input_schema.add_data_row_predicate(table_name, predicate_name="Age Min <= Age Max",150                                    predicate=lambda row: row['Age Min'] <= row['Age Max'])151# endregion152# region surgeons_pref153table_name = "surgeons_pref"154text_fields = ['Surgeon ID']155score_fields = ['Cell Count Min', 'Age Range', 'Death to Recovery Max (hrs.)', 'Death to Surgery Max (days)',156                'Death to Cooling Max (hrs.)', 'Tissue Origin']157input_schema.set_data_type(table_name, 'Tissue Use', strings_allowed=['PK', 'DSAEK', 'DMEK'])158for col in text_fields:159    input_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*")160for col in score_fields:161    input_schema.set_data_type(table_name, col, must_be_int=False, min=0, max=1, inclusive_min=True, inclusive_max=True)162input_schema.add_foreign_key(table_name, 'surgeons', [('Surgeon ID', 'Surgeon ID')])163input_schema.add_data_row_predicate(table_name, predicate_name="Scores add up to 1.0",164                                    predicate=lambda row: abs(sum(row[col_] for col_ in score_fields) - 1) < 1e-4)165# endregion166# endregion167# region APPLY DATA TYPES AND PREDICATES TO THE OUTPUT SCHEMA168# region rpt_matching169table_name = "rpt_matching"170nullable_text_fields = ['Tissue ID', 'Tissue ID - Alt. 1', 'Tissue ID - Alt. 2']171nullable_float_field = ['Transp. Cost', 'Transp. Cost - Alt. 1', 'Transp. Cost - Alt. 2', 'Penalty']172output_schema.set_data_type(table_name, 'Request ID', number_allowed=False, strings_allowed="*")173for col in nullable_text_fields:174    output_schema.set_data_type(table_name, col, number_allowed=False, strings_allowed="*", nullable=True)175for col in nullable_float_field:176    output_schema.set_data_type(table_name, col, must_be_int=False, min=0, max=float('inf'),177                                inclusive_min=True, inclusive_max=False, nullable=True)178for col in ['Score', 'Score - Alt. 1', 'Score - Alt. 2']:179    output_schema.set_data_type(table_name, col, must_be_int=False, min=-float('inf'), max=float('inf'),180                                inclusive_min=False, inclusive_max=False, nullable=True)181# endregion...

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