Was already missing at line 50

 def date(s):
-     return dt.strptime(s, "%Y-%m-%d")

         args = tuple(args)
-     elif type(index_or_key) == str:
-         kwargs[index_or_key] = inputs

     else:
-         normalized_sum_sq_diff = sum_sq_diff / np.sqrt(sum_sq_diff)
-         assert normalized_sum_sq_diff < 0.001

Was already missing at line 152

     def __str__(self) -> str:
-         return self.__repr__()

Was already missing at line 54

         """
-         return cut(
             x,

Was already missing at line 127

         if return_index_or_key:
-             return kwargs[argname], argname
         return kwargs[argname]

         else:
-             to_display_per_concept = [f"- {concept}" for concept in required_concepts]
         str_to_display = "\n".join(to_display_per_concept)

-         if all(isinstance(table, tuple) for table in required_tables):
  ...
-         super().__init__(message)

Was already missing at line 32

     def __setattr__(self, key, value):
-         self[key] = value

     def __dir__(self):
-         return self.keys()

     def __getattr__(self, key):
-         try:
-             return self[key]
-         except KeyError:
             raise AttributeError(key)

Was already missing at line 19

     if len(splited) == 1:
-         return None
     return splited[-1]

Was already missing at lines 50-78

             # Looking for a match excluding version string
-             candidates = [
  ...
-             func = r.get(candidates[0])
         return func

Was already missing at line 108

                 if drop_columns:
-                     table = table.merge(
                         visit_occurrence.drop(columns=drop_columns),

Was already missing at lines 60-63

         # TODO: is this necessary ?
-         logger.warning("No matching were found between the 2 DataFrames")
- 
-         return framework.DataFrame(
             columns=["person_id", "t_start", "t_end", "concept", "value"]

         return (B_start >= A_start) & (B_end <= A_end)
-     elif algo == interval_algos.from_before_to:
-         return B_end <= A_start
-     elif algo == interval_algos.to_before_from:
-         return A_end <= B_start
     else:

Was already missing at line 409

         if open_stay_end_datetime is None:
-             open_stay_end_datetime = datetime.now()
         vo["visit_end_datetime_calc"] = open_stay_end_datetime

Was already missing at lines 38-211

-     i2b2_table_name = i2b2_tables[db_source][table]
  ...
-     return df

-     def f(x):
-         return mapping.get(x, default)
- 
-     return F.udf(f)

Was already missing at line 13

     def __str__(self):
-         return self.__repr__()

Was already missing at lines 108-111

     else:
-         event.loc[:, "t_start"] = event.loc[:, columns["code_start_datetime"]]
  ...
-         event = event.drop(
             columns=[columns["code_start_datetime"], columns["code_end_datetime"]]

Was already missing at lines 88-102

     """
-     diabetes = conditions_from_icd10(
  ...
- 
-     return diabetes

Was already missing at line 68

     if type(algo) == str:
-         algo = [algo]

Was already missing at line 54

     if algo == "from_regex_on_parent_UF":
-         return from_regex_on_parent_UF(care_site)
     elif algo == "from_regex_on_care_site_description":

     """
-     return attributes.get_parent_attributes(
         care_site,

Was already missing at lines 37-44

     def reset_to_pandas(self):
-         if self.module == "koalas":
  ...
-             self.module = "pandas"

Was already missing at line 38

 def __dir__():
-     return known_datasets + [func.__name__ for func in __all__]

 def add_dataset(table: pd.DataFrame, name: str):
-     dataset_path = os.path.abspath(
-         os.path.join(os.path.dirname(__file__), name + ".csv")
-     )
-     table.to_csv(dataset_path, index=False)

     """
-     return [func.__name__ for func in __all__]

Was already missing at line 72

     else:
-         logger.error(
             "The folder {} has not been found",

     else:
-         terminologies_hist = alt.Chart().mark_text()
-         terminologies_time_series = (
             alt.Chart(measurement)

Was already missing at line 83

     if stats_only:
-         return {"measurement_stats": measurement_stats}

     if overall_only:
-         return measurement_stats_overall

Was already missing at lines 30-66

     """
-     my_custom_config = pd.DataFrame()
  ...
-     register_configs()

     for config in glob.glob(os.path.join(CONFIGS_PATH, "*.csv")):
-         config_name = Path(config).stem
-         registry.data.register(
             f"get_biology_config.{config_name}",

     """
-     registered = list(registry.data.get_all().keys())
-     configs = [
-         r.split(".")[-1] for r in registered if r.startswith("get_biology_config")
-     ]
-     return configs

Was already missing at line 28

     if isinstance(studied_pop, DataFrame.__args__):
-         filtered_measures = measurement.merge(
             studied_pop,