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How to use _cast_value method in gabbi

Best Python code snippet using gabbi_python

annotation.py

Source:annotation.py

...74        self.df_b = df_b75        self.dataset_a_name = dataset_a_name76        self.dataset_b_name = dataset_b_name77    def _get_value(self, df, loc_x, loc_y, *args, **kwargs):78        return self._cast_value(df.at[loc_x, loc_y], *args, **kwargs)79    @staticmethod80    def _cast_value(value, na_value=None):81        if pd.isnull(value):82            return na_value83        elif type(value).__module__ == np.__name__:84            return value.item()85        else:86            return value87    def _create_annotation(self):88        result = {"version": SCHEMA_VERSION_LATEST, "pairs": []}89        # transform multiindex into frame90        df_pairs = self.pairs.to_frame()91        if self.df_b is None:  # dedup92            df_b = self.df_a93            dataset_b_name = self.dataset_a_name94        else:  # link95            df_b = self.df_b96            dataset_b_name = self.dataset_b_name97        columns_a = list(self.df_a)98        columns_b = list(df_b)99        for index, pair in df_pairs.iterrows():100            result_record = {101                'fields': [],102                "identifiers": {103                    "a": {104                        "dataset": self._cast_value(self.dataset_a_name),105                        "record": self._cast_value(pair[0])106                    },107                    "b": {108                        "dataset": self._cast_value(dataset_b_name),109                        "record": self._cast_value(pair[1])110                    }111                },112            }113            # get the full data for this record114            for col in columns_a:115                result_record_field_a = {116                    "name": self._cast_value(col),117                    "value": self._get_value(self.df_a, pair[0], col),118                    "type": "String"119                }120                result_record_field_b = {121                    "name": self._cast_value(col),122                    "value": self._get_value(df_b, pair[1], col),123                    "type": "String"124                }125                result_record_field = {126                    "a": self._cast_value(result_record_field_a),127                    "b": self._cast_value(result_record_field_b),128                    "similarity": self._cast_value(None)129                }130                result_record['fields'].append(result_record_field)131            # append the result to a file132            result['pairs'].append(result_record)133        return result134    def to_file(self, fp):135        """Write annotation object to file.136        Parameters137        ----------138        fp: str139            The path to store the annotation file.140        """141        with open(str(fp), "w") as f:142            json.dump(self._create_annotation(), f, indent=2)...

config_param.py

Source:config_param.py

...26            else:27                raise28        else:29            if self.multi:30                value = [self._cast_value(v) for v in value]31            else:32                value = self._cast_value(value[0])33        return value34    def _cast_value(self, value):35        if self.type is not None:36            try:37                value = self.type(value)38            except ValueError:39                raise ParameterTypeError(self.name, self.type, type(value))40        if self.options is not None and value not in self.options:41            raise ParameterValueError(self.name, self.options, value)...

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