Exemple #1
0
    def _preprocess_value_matrix(self):
        if self._preprocessed_value_matrix:
            return

        self._value_matrix = [[
            dataproperty.convert_value(value) for value in value_list
        ] for value_list in self.value_matrix]
        self._value_matrix = dict(zip(self.header_list, self._value_matrix))

        self._preprocessed_value_matrix = True
    def _preprocess_value_matrix(self):
        if self._preprocessed_value_matrix:
            return

        self._value_matrix = [
            [dataproperty.convert_value(value) for value in value_list]
            for value_list in self.value_matrix
        ]
        self._value_matrix = dict(zip(self.header_list, self._value_matrix))

        self._preprocessed_value_matrix = True
Exemple #3
0
    def _preprocess_value_matrix(self):
        if self._preprocessed_value_matrix:
            return

        value_matrix = [[
            dataproperty.convert_value(value, self.__none_value)
            for value in value_list
        ] for value_list in self.value_matrix]
        table_data = [
            dict(zip(self.header_list, value_list))
            for value_list in value_matrix
        ]

        if dataproperty.is_empty_string(self.table_name):
            self._value_matrix = table_data
        else:
            self._value_matrix = {self.table_name: table_data}

        self._preprocessed_value_matrix = True
    def _preprocess_value_matrix(self):
        if self._preprocessed_value_matrix:
            return

        value_matrix = [
            [dataproperty.convert_value(value) for value in value_list]
            for value_list in self.value_matrix
        ]
        table_data = [
            dict(zip(self.header_list, value_list))
            for value_list in value_matrix
        ]

        if dataproperty.is_empty_string(self.table_name):
            self._value_matrix = table_data
        else:
            self._value_matrix = {self.table_name: table_data}

        self._preprocessed_value_matrix = True
 def test_abnormal(self):
     assert is_nan(convert_value(nan))
 def test_none(self, value, none_return_value, expected):
     assert convert_value(value, none_return_value) == expected
 def test_normal(self, value, expected):
     assert convert_value(value) == expected
 def test_abnormal(self):
     assert is_nan(convert_value(nan))
 def test_none(self, value, none_return_value, expected):
     assert convert_value(value, none_return_value) == expected
 def test_normal(self, value, expected):
     assert convert_value(value) == expected