Instruction:
Can you tell what is the following Python 3 function doing
def read(self, vals):
        i = 0
        if len(vals[i]) == 0:
            self.title_of_design_condition = None
        else:
            self.title_of_design_condition = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.unkown_field = None
        else:
            self.unkown_field = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.design_stat_heating = None
        else:
            self.design_stat_heating = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.coldestmonth = None
        else:
            self.coldestmonth = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db996 = None
        else:
            self.db996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db990 = None
        else:
            self.db990 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dp996 = None
        else:
            self.dp996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hr_dp996 = None
        else:
            self.hr_dp996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_dp996 = None
        else:
            self.db_dp996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dp990 = None
        else:
            self.dp990 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hr_dp990 = None
        else:
            self.hr_dp990 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_dp990 = None
        else:
            self.db_dp990 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws004c = None
        else:
            self.ws004c = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_ws004c = None
        else:
            self.db_ws004c = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws010c = None
        else:
            self.ws010c = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_ws010c = None
        else:
            self.db_ws010c = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws_db996 = None
        else:
            self.ws_db996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wd_db996 = None
        else:
            self.wd_db996 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.design_stat_cooling = None
        else:
            self.design_stat_cooling = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hottestmonth = None
        else:
            self.hottestmonth = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbr = None
        else:
            self.dbr = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db004 = None
        else:
            self.db004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb_db004 = None
        else:
            self.wb_db004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db010 = None
        else:
            self.db010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb_db010 = None
        else:
            self.wb_db010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db020 = None
        else:
            self.db020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb_db020 = None
        else:
            self.wb_db020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb004 = None
        else:
            self.wb004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_wb004 = None
        else:
            self.db_wb004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb010 = None
        else:
            self.wb010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_wb010 = None
        else:
            self.db_wb010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wb020 = None
        else:
            self.wb020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_wb020 = None
        else:
            self.db_wb020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws_db004 = None
        else:
            self.ws_db004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wd_db004 = None
        else:
            self.wd_db004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dp004 = None
        else:
            self.dp004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hr_dp004 = None
        else:
            self.hr_dp004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_dp004 = None
        else:
            self.db_dp004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dp010 = None
        else:
            self.dp010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hr_dp010 = None
        else:
            self.hr_dp010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_dp010 = None
        else:
            self.db_dp010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dp020 = None
        else:
            self.dp020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hr_dp020 = None
        else:
            self.hr_dp020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_dp020 = None
        else:
            self.db_dp020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.en004 = None
        else:
            self.en004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_en004 = None
        else:
            self.db_en004 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.en010 = None
        else:
            self.en010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_en010 = None
        else:
            self.db_en010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.en020 = None
        else:
            self.en020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.db_en020 = None
        else:
            self.db_en020 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.hrs_84_and_db12_8_or_20_6 = None
        else:
            self.hrs_84_and_db12_8_or_20_6 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.design_stat_extremes = None
        else:
            self.design_stat_extremes = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws010 = None
        else:
            self.ws010 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws025 = None
        else:
            self.ws025 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.ws050 = None
        else:
            self.ws050 = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.wbmax = None
        else:
            self.wbmax = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin_mean = None
        else:
            self.dbmin_mean = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax_mean = None
        else:
            self.dbmax_mean = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin_stddev = None
        else:
            self.dbmin_stddev = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax_stddev = None
        else:
            self.dbmax_stddev = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin05years = None
        else:
            self.dbmin05years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax05years = None
        else:
            self.dbmax05years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin10years = None
        else:
            self.dbmin10years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax10years = None
        else:
            self.dbmax10years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin20years = None
        else:
            self.dbmin20years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax20years = None
        else:
            self.dbmax20years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmin50years = None
        else:
            self.dbmin50years = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.dbmax50years = None
        else:
            self.dbmax50years = vals[i]
        i += 1

Response: Reads the values from the log file.


Instruction:
Given the following Python 3 function, write the documentation
def title_of_design_condition(self, value=None):
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `title_of_design_condition`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `title_of_design_condition`')

        self._title_of_design_condition = value

Response: Corresponds to IDD Field title_of_design_condition


Instruction:
Create a Python 3 function to
correspond to IDD Field unkown_field Empty field in data.

Response:
def unkown_field(self, value=None):
        """Corresponds to IDD Field `unkown_field` Empty field in data.

        Args:
            value (str): value for IDD Field `unkown_field`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `unkown_field`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `unkown_field`')

        self._unkown_field = value


Instruction:
Create a Python 3 function for
corresponding to IDD Field design_stat_heating

Response:
def design_stat_heating(self, value="Heating"):
        """Corresponds to IDD Field `design_stat_heating`

        Args:
            value (str): value for IDD Field `design_stat_heating`
                Accepted values are:
                      - Heating
                Default value: Heating
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `design_stat_heating`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `design_stat_heating`')
            vals = set()
            vals.add("Heating")
            if value not in vals:
                raise ValueError('value {} is not an accepted value for '
                                 'field `design_stat_heating`'.format(value))

        self._design_stat_heating = value


Instruction:
Create a Python 3 function to
correspond to IDD Field coldestmonth

Response:
def coldestmonth(self, value=None):
        """Corresponds to IDD Field `coldestmonth`

        Args:
            value (int): value for IDD Field `coldestmonth`
                value >= 1
                value <= 12
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = int(value)
            except ValueError:
                raise ValueError('value {} need to be of type int '
                                 'for field `coldestmonth`'.format(value))
            if value < 1:
                raise ValueError('value need to be greater or equal 1 '
                                 'for field `coldestmonth`')
            if value > 12:
                raise ValueError('value need to be smaller 12 '
                                 'for field `coldestmonth`')

        self._coldestmonth = value


Instruction:
Implement a function in Python 3 to
correspond to IDD Field db996 mean temperature corresponding to 99. 6% annual cumulative frequency of occurrence

Response:
def db996(self, value=None):
        """  Corresponds to IDD Field `db996`
        Dry-bulb temperature corresponding to 99.6% annual cumulative
        frequency of occurrence (cold conditions)

        Args:
            value (float): value for IDD Field `db996`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db996`'.format(value))

        self._db996 = value


Instruction:
Explain what the following Python 3 code does
def db990(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db990`'.format(value))

        self._db990 = value

Response:
Corresponds to IDD Field db990 mean temperature corresponding to 90. 0% annual cumulative
        frequency of occurrence


Instruction:
Here you have a function in Python 3, explain what it does
def dp996(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dp996`'.format(value))

        self._dp996 = value

Response:
Corresponds to IDD Field dp996 Dew - point temperature corresponding to 99. 6% annual cumulative
        frequency of occurrence


Instruction:
Create a Python 3 function for
corresponding to IDD Field hr_dp996 humidity ratio calculated at standard atmospheric pressure pressure at elevation of station corresponding to 99. 6% annual cumulative frequency of occurrence corresponding to 99. 6% annual cumulative frequency of occurrence

Response:
def hr_dp996(self, value=None):
        """  Corresponds to IDD Field `hr_dp996`
        humidity ratio, calculated at standard atmospheric pressure
        at elevation of station, corresponding to
        Dew-point temperature corresponding to 99.6% annual cumulative
        frequency of occurrence (cold conditions)

        Args:
            value (float): value for IDD Field `hr_dp996`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `hr_dp996`'.format(value))

        self._hr_dp996 = value


Instruction:
How would you explain what the following Python 3 function does
def dp990(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dp990`'.format(value))

        self._dp990 = value

Response:
Corresponds to IDD Field dp990 Dew - point temperature corresponding to 90. 0% annual cumulative
        frequency of occurrence


Instruction:
Given the following Python 3 function, write the documentation
def hr_dp990(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `hr_dp990`'.format(value))

        self._hr_dp990 = value

Response: Corresponds to IDD Field hr_dp990 humidity ratio corresponding to 7. 0% annual cumulative


Instruction:
Can you generate the documentation for the following Python 3 function
def ws004c(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws004c`'.format(value))

        self._ws004c = value

Response: Corresponds to IDD Field ws004c Wind in Celsius


Instruction:
Implement a function in Python 3 to
correspond to IDD Field db_ws004c Mean coincident dry - bulb temperature corresponding to 0. 40% cumulative frequency for coldest month

Response:
def db_ws004c(self, value=None):
        """  Corresponds to IDD Field `db_ws004c`
        Mean coincident dry-bulb temperature to wind speed corresponding to 0.40% cumulative frequency for coldest month

        Args:
            value (float): value for IDD Field `db_ws004c`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_ws004c`'.format(value))

        self._db_ws004c = value


Instruction:
Here you have a function in Python 3, explain what it does
def ws010c(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws010c`'.format(value))

        self._ws010c = value

Response:
Corresponds to IDD Field ws010c Wind speed corresponding to 1. 0% cumulative frequency
        of occurrence for coldest month ; if not specified the value is used for the unit of occurrence for the IDD class.


Instruction:
Can you tell what is the following Python 3 function doing
def db_ws010c(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_ws010c`'.format(value))

        self._db_ws010c = value

Response: Corresponds to IDD Field db_ws010c Mean coincident dry - bulb temperature corresponding to 1. 0% cumulative frequency for coldest month


Instruction:
Can you generate a brief explanation for the following Python 3 code
def ws_db996(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws_db996`'.format(value))

        self._ws_db996 = value

Response: Corresponds to IDD Field ws_db996 Mean wind speed coincident with 99. 6% dry - bulb temperature


Instruction:
Can you create a Python 3 function that
corresponds to IDD Field wd_db996 Wind speed corresponding to mean wind speed coincident with 99. 6% dry - bulb temperature

Response:
def wd_db996(self, value=None):
        """  Corresponds to IDD Field `wd_db996`
        most frequent wind direction corresponding to mean wind speed coincident with 99.6% dry-bulb temperature
        degrees from north (east = 90 deg)

        Args:
            value (float): value for IDD Field `wd_db996`
                Unit: deg
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wd_db996`'.format(value))

        self._wd_db996 = value


Instruction:
Write a Python 3 script for
corresponding to IDD Field design_stat_cooling

Response:
def design_stat_cooling(self, value="Cooling"):
        """Corresponds to IDD Field `design_stat_cooling`

        Args:
            value (str): value for IDD Field `design_stat_cooling`
                Accepted values are:
                      - Cooling
                Default value: Cooling
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `design_stat_cooling`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `design_stat_cooling`')
            vals = set()
            vals.add("Cooling")
            if value not in vals:
                raise ValueError('value {} is not an accepted value for '
                                 'field `design_stat_cooling`'.format(value))

        self._design_stat_cooling = value


Instruction:
Can you create a Python 3 function that
corresponds to IDD Field dbr Daily temperature range for hottest and month.

Response:
def dbr(self, value=None):
        """Corresponds to IDD Field `dbr` Daily temperature range for hottest
        month.

        [defined as mean of the difference between daily maximum
        and daily minimum dry-bulb temperatures for hottest month]

        Args:
            value (float): value for IDD Field `dbr`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbr`'.format(value))

        self._dbr = value


Instruction:
Make a summary of the following Python 3 code
def db004(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db004`'.format(value))

        self._db004 = value

Response: Corresponds to IDD Field db004 mean coincident dry - bulb temperature corresponding to 0. 4% annual cumulative frequency of occurrence


Instruction:
How would you implement a function in Python 3 that
corresponds to IDD Field wb_db004 mean coincident wet - bulb temperature to Dry - bulb temperature corresponding to 0. 4% annual cumulative frequency of occurrence

Response:
def wb_db004(self, value=None):
        """  Corresponds to IDD Field `wb_db004`
        mean coincident wet-bulb temperature to
        Dry-bulb temperature corresponding to 0.4% annual cumulative frequency of occurrence (warm conditions)

        Args:
            value (float): value for IDD Field `wb_db004`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb_db004`'.format(value))

        self._wb_db004 = value


Instruction:
How would you explain what the following Python 3 function does
def db010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db010`'.format(value))

        self._db010 = value

Response: Corresponds to IDD Field db010 Dry - bulb temperature corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Can you generate the documentation for the following Python 3 function
def wb_db010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb_db010`'.format(value))

        self._wb_db010 = value

Response:
Corresponds to IDD Field wb_db010 mean coincident wet - bulb temperature to
        Dry - bulb temperature corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Implement a Python 3 function for
corresponding to IDD Field db020 mean coincident wet - bulb temperature to Dry - bulb temperature corresponding to 2. 0% annual cumulative frequency of occurrence

Response:
def db020(self, value=None):
        """  Corresponds to IDD Field `db020`
        mean coincident wet-bulb temperature to
        Dry-bulb temperature corresponding to 2.0% annual cumulative frequency of occurrence (warm conditions)

        Args:
            value (float): value for IDD Field `db020`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db020`'.format(value))

        self._db020 = value


Instruction:
Write a Python 3 script for
corresponding to IDD Field wb_db020 mean coincident wet - bulb temperature to Dry - bulb temperature corresponding to 2. 0% annual cumulative frequency of occurrence

Response:
def wb_db020(self, value=None):
        """  Corresponds to IDD Field `wb_db020`
        mean coincident wet-bulb temperature to
        Dry-bulb temperature corresponding to 2.0% annual cumulative frequency of occurrence (warm conditions)

        Args:
            value (float): value for IDD Field `wb_db020`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb_db020`'.format(value))

        self._wb_db020 = value


Instruction:
Can you tell what is the following Python 3 function doing
def wb004(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb004`'.format(value))

        self._wb004 = value

Response: Corresponds to IDD Field wb004 Wet - bulb temperature corresponding to 0. 4% annual cumulative frequency of occurrence


Instruction:
Here you have a function in Python 3, explain what it does
def db_wb004(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_wb004`'.format(value))

        self._db_wb004 = value

Response:
Corresponds to IDD Field db_wb004 mean coincident dry - bulb temperature to
        Wet - bulb temperature corresponding to 0. 4% annual cumulative frequency of occurrence


Instruction:
Given the following Python 3 function, write the documentation
def wb010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb010`'.format(value))

        self._wb010 = value

Response: Corresponds to IDD Field wb010 Wet - bulb temperature corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Can you generate a brief explanation for the following Python 3 code
def db_wb010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_wb010`'.format(value))

        self._db_wb010 = value

Response: Corresponds to IDD Field db_wb010 Wet - bulb temperature corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Implement a Python 3 function for
corresponding to IDD Field wb020 Wet - bulb temperature corresponding to 02. 0% annual cumulative frequency of occurrence

Response:
def wb020(self, value=None):
        """  Corresponds to IDD Field `wb020`
        Wet-bulb temperature corresponding to 02.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `wb020`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wb020`'.format(value))

        self._wb020 = value


Instruction:
Can you tell what is the following Python 3 function doing
def db_wb020(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_wb020`'.format(value))

        self._db_wb020 = value

Response:
Corresponds to IDD Field db_wb020 Wet - bulb temperature to
        Wet - bulb temperature corresponding to 2. 0% annual cumulative frequency of occurrence


Instruction:
Implement a Python 3 function for
corresponding to IDD Field ws_db004 mean wind speed coincident with 0. 4% dry - bulb temperature

Response:
def ws_db004(self, value=None):
        """  Corresponds to IDD Field `ws_db004`
        Mean wind speed coincident with 0.4% dry-bulb temperature

        Args:
            value (float): value for IDD Field `ws_db004`
                Unit: m/s
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws_db004`'.format(value))

        self._ws_db004 = value


Instruction:
Write a Python 3 script to
correspond to IDD Field wd_db004 mean wind speed coincident with 0. 4% dry - bulb temperature

Response:
def wd_db004(self, value=None):
        """  Corresponds to IDD Field `wd_db004`
        corresponding most frequent wind direction
        Mean wind speed coincident with 0.4% dry-bulb temperature
        degrees true from north (east = 90 deg)

        Args:
            value (float): value for IDD Field `wd_db004`
                Unit: deg
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wd_db004`'.format(value))

        self._wd_db004 = value


Instruction:
Create a Python 3 function to
correspond to IDD Field dp004 Dew - point temperature corresponding to 0. 4% annual cumulative frequency of occurrence

Response:
def dp004(self, value=None):
        """  Corresponds to IDD Field `dp004`
        Dew-point temperature corresponding to 0.4% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `dp004`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dp004`'.format(value))

        self._dp004 = value


Instruction:
How would you code a function in Python 3 to
correspond to IDD Field hr_dp004 humidity ratio corresponding to 0. 4% annual cumulative frequency of occurrence

Response:
def hr_dp004(self, value=None):
        """  Corresponds to IDD Field `hr_dp004`
        humidity ratio corresponding to
        Dew-point temperature corresponding to 0.4% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `hr_dp004`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `hr_dp004`'.format(value))

        self._hr_dp004 = value


Instruction:
Can you generate a brief explanation for the following Python 3 code
def db_dp004(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_dp004`'.format(value))

        self._db_dp004 = value

Response:
Corresponds to IDD Field db_dp004 mean coincident dry - bulb temperature to
        Dew - point temperature corresponding to 0. 4% annual cumulative frequency of occurrence


Instruction:
Write a Python 3 function for
corresponding to IDD Field dp010 Dew - point temperature corresponding to 1. 0% annual cumulative frequency of occurrence

Response:
def dp010(self, value=None):
        """  Corresponds to IDD Field `dp010`
        Dew-point temperature corresponding to 1.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `dp010`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dp010`'.format(value))

        self._dp010 = value


Instruction:
Here you have a function in Python 3, explain what it does
def db_dp010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_dp010`'.format(value))

        self._db_dp010 = value

Response:
Corresponds to IDD Field db_dp010 mean coincident dry - bulb temperature to
        Dew - point temperature corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Can you generate the documentation for the following Python 3 function
def dp020(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dp020`'.format(value))

        self._dp020 = value

Response: Corresponds to IDD Field dp020 Dew - point temperature corresponding to 2. 0% annual cumulative frequency of occurrence


Instruction:
How would you implement a function in Python 3 that
corresponds to IDD Field hr_dp020 humidity ratio corresponding to 2. 0% annual cumulative frequency of occurrence Dew - point temperature corresponding to 2. 0% annual cumulative frequency of occurrence calculated at the standard atmospheric pressure at elevation of station

Response:
def hr_dp020(self, value=None):
        """  Corresponds to IDD Field `hr_dp020`
        humidity ratio corresponding to
        Dew-point temperature corresponding to 2.0% annual cumulative frequency of occurrence
        calculated at the standard atmospheric pressure at elevation of station

        Args:
            value (float): value for IDD Field `hr_dp020`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `hr_dp020`'.format(value))

        self._hr_dp020 = value


Instruction:
Implement a Python 3 function for
corresponding to IDD Field db_dp020 Mean coincident dry - bulb temperature to Dew - point temperature corresponding to 2. 0% annual cumulative frequency of occurrence

Response:
def db_dp020(self, value=None):
        """  Corresponds to IDD Field `db_dp020`
        mean coincident dry-bulb temperature to
        Dew-point temperature corresponding to 2.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `db_dp020`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_dp020`'.format(value))

        self._db_dp020 = value


Instruction:
Can you implement a function in Python 3 that
corresponds to IDD Field en004 An annual cumulative frequency of occurrence to

Response:
def en004(self, value=None):
        """  Corresponds to IDD Field `en004`
        mean coincident dry-bulb temperature to
        Enthalpy corresponding to 0.4% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `en004`
                Unit: kJ/kg
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `en004`'.format(value))

        self._en004 = value


Instruction:
How would you code a function in Python 3 to
correspond to IDD Field db_en004 mean coincident dry - bulb temperature to Enthalpy corresponding to 0. 4% annual cumulative frequency of occurrence

Response:
def db_en004(self, value=None):
        """  Corresponds to IDD Field `db_en004`
        mean coincident dry-bulb temperature to
        Enthalpy corresponding to 0.4% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `db_en004`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_en004`'.format(value))

        self._db_en004 = value


Instruction:
How would you explain what the following Python 3 function does
def en010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `en010`'.format(value))

        self._en010 = value

Response: Corresponds to IDD Field en010 Enthalpy corresponding to 1. 0% annual cumulative frequency of occurrence of occurrence of the IDD resource.


Instruction:
Can you implement a function in Python 3 that
corresponds to IDD Field db_en010

Response:
def db_en010(self, value=None):
        """  Corresponds to IDD Field `db_en010`
        mean coincident dry-bulb temperature to
        Enthalpy corresponding to 1.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `db_en010`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `db_en010`'.format(value))

        self._db_en010 = value


Instruction:
Write a Python 3 script for
corresponding to IDD Field en020 Enthalpy corresponding to 2. 0% annual cumulative frequency of occurrence of occurrence of the IDD resource.

Response:
def en020(self, value=None):
        """  Corresponds to IDD Field `en020`
        mean coincident dry-bulb temperature to
        Enthalpy corresponding to 2.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `en020`
                Unit: kJ/kg
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `en020`'.format(value))

        self._en020 = value


Instruction:
How would you explain what the following Python 3 function does
def hrs_84_and_db12_8_or_20_6(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `hrs_84_and_db12_8_or_20_6`'.format(value))

        self._hrs_84_and_db12_8_or_20_6 = value

Response: Corresponds to IDD Field hrs_84_and_db12_8_or_20_6


Instruction:
Create a Python 3 function for
corresponding to IDD Field design_stat_extremes

Response:
def design_stat_extremes(self, value="Extremes"):
        """Corresponds to IDD Field `design_stat_extremes`

        Args:
            value (str): value for IDD Field `design_stat_extremes`
                Accepted values are:
                      - Extremes
                Default value: Extremes
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `design_stat_extremes`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `design_stat_extremes`')
            vals = set()
            vals.add("Extremes")
            if value not in vals:
                raise ValueError('value {} is not an accepted value for '
                                 'field `design_stat_extremes`'.format(value))

        self._design_stat_extremes = value


Instruction:
Can you generate a brief explanation for the following Python 3 code
def ws010(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws010`'.format(value))

        self._ws010 = value

Response: Corresponds to IDD Field ws010 Wind speed corresponding to 1. 0% annual cumulative frequency of occurrence


Instruction:
Given the following Python 3 function, write the documentation
def ws025(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws025`'.format(value))

        self._ws025 = value

Response: Corresponds to IDD Field ws025 Wind speed corresponding to 2. 5% annual cumulative frequency of occurrence


Instruction:
How would you implement a function in Python 3 that
corresponds to IDD Field ws050 Wind speed corresponding 5. 0% annual cumulative frequency of occurrence

Response:
def ws050(self, value=None):
        """  Corresponds to IDD Field `ws050`
        Wind speed corresponding 5.0% annual cumulative frequency of occurrence

        Args:
            value (float): value for IDD Field `ws050`
                Unit: m/s
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `ws050`'.format(value))

        self._ws050 = value


Instruction:
Write a Python 3 script for
corresponding to IDD Field wbmax Wet - bulb temperature

Response:
def wbmax(self, value=None):
        """  Corresponds to IDD Field `wbmax`
        Extreme maximum wet-bulb temperature

        Args:
            value (float): value for IDD Field `wbmax`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `wbmax`'.format(value))

        self._wbmax = value


Instruction:
Create a Python 3 function for
corresponding to IDD Field dbmin_mean Mean of extreme annual minimum dry - bulb temperature

Response:
def dbmin_mean(self, value=None):
        """  Corresponds to IDD Field `dbmin_mean`
        Mean of extreme annual minimum dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmin_mean`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin_mean`'.format(value))

        self._dbmin_mean = value


Instruction:
Write a Python 3 script to
correspond to IDD Field dbmax_mean Mean of extreme annual maximum dry - bulb temperature of the resource.

Response:
def dbmax_mean(self, value=None):
        """  Corresponds to IDD Field `dbmax_mean`
        Mean of extreme annual maximum dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmax_mean`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax_mean`'.format(value))

        self._dbmax_mean = value


Instruction:
Make a summary of the following Python 3 code
def dbmin_stddev(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin_stddev`'.format(value))

        self._dbmin_stddev = value

Response: Corresponds to IDD Field dbmin_stddev Standard deviation of extreme annual minimum dry - bulb temperature of the resource.


Instruction:
Implement a function in Python 3 to
correspond to IDD Field dbmax_stddev Standard deviation of extreme annual maximum dry - bulb temperature of the resource.

Response:
def dbmax_stddev(self, value=None):
        """  Corresponds to IDD Field `dbmax_stddev`
        Standard deviation of extreme annual maximum dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmax_stddev`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax_stddev`'.format(value))

        self._dbmax_stddev = value


Instruction:
How would you implement a function in Python 3 that
corresponds to IDD Field dbmin05years

Response:
def dbmin05years(self, value=None):
        """  Corresponds to IDD Field `dbmin05years`
        5-year return period values for minimum extreme dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmin05years`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin05years`'.format(value))

        self._dbmin05years = value


Instruction:
How would you explain what the following Python 3 function does
def dbmax05years(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax05years`'.format(value))

        self._dbmax05years = value

Response: Corresponds to IDD Field dbmax05years


Instruction:
Can you tell what is the following Python 3 function doing
def dbmin10years(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin10years`'.format(value))

        self._dbmin10years = value

Response: Corresponds to IDD Field dbmin10years 10 - year return period values for minimum extreme dry - bulb temperature


Instruction:
Write a Python 3 script to
correspond to IDD Field dbmax10years 10 - year return period values for maximum extreme dry - bulb temperature

Response:
def dbmax10years(self, value=None):
        """  Corresponds to IDD Field `dbmax10years`
        10-year return period values for maximum extreme dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmax10years`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax10years`'.format(value))

        self._dbmax10years = value


Instruction:
Create a Python 3 function for
corresponding to IDD Field dbmin20years 20 - year return period values for minimum extreme dry - bulb temperature

Response:
def dbmin20years(self, value=None):
        """  Corresponds to IDD Field `dbmin20years`
        20-year return period values for minimum extreme dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmin20years`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin20years`'.format(value))

        self._dbmin20years = value


Instruction:
Can you write a function in Python 3 where it
corresponds to IDD Field dbmax20years 20 - year return period values for maximum extreme dry - bulb temperature

Response:
def dbmax20years(self, value=None):
        """  Corresponds to IDD Field `dbmax20years`
        20-year return period values for maximum extreme dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmax20years`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax20years`'.format(value))

        self._dbmax20years = value


Instruction:
Implement a function in Python 3 to
correspond to IDD Field dbmin50years

Response:
def dbmin50years(self, value=None):
        """  Corresponds to IDD Field `dbmin50years`
        50-year return period values for minimum extreme dry-bulb temperature

        Args:
            value (float): value for IDD Field `dbmin50years`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value
        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmin50years`'.format(value))

        self._dbmin50years = value


Instruction:
How would you explain what the following Python 3 function does
def dbmax50years(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError('value {} need to be of type float '
                                 'for field `dbmax50years`'.format(value))

        self._dbmax50years = value

Response: Corresponds to IDD Field dbmax50years


Instruction:
How would you code a function in Python 3 to
export the current object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.title_of_design_condition))
        out.append(self._to_str(self.unkown_field))
        out.append(self._to_str(self.design_stat_heating))
        out.append(self._to_str(self.coldestmonth))
        out.append(self._to_str(self.db996))
        out.append(self._to_str(self.db990))
        out.append(self._to_str(self.dp996))
        out.append(self._to_str(self.hr_dp996))
        out.append(self._to_str(self.db_dp996))
        out.append(self._to_str(self.dp990))
        out.append(self._to_str(self.hr_dp990))
        out.append(self._to_str(self.db_dp990))
        out.append(self._to_str(self.ws004c))
        out.append(self._to_str(self.db_ws004c))
        out.append(self._to_str(self.ws010c))
        out.append(self._to_str(self.db_ws010c))
        out.append(self._to_str(self.ws_db996))
        out.append(self._to_str(self.wd_db996))
        out.append(self._to_str(self.design_stat_cooling))
        out.append(self._to_str(self.hottestmonth))
        out.append(self._to_str(self.dbr))
        out.append(self._to_str(self.db004))
        out.append(self._to_str(self.wb_db004))
        out.append(self._to_str(self.db010))
        out.append(self._to_str(self.wb_db010))
        out.append(self._to_str(self.db020))
        out.append(self._to_str(self.wb_db020))
        out.append(self._to_str(self.wb004))
        out.append(self._to_str(self.db_wb004))
        out.append(self._to_str(self.wb010))
        out.append(self._to_str(self.db_wb010))
        out.append(self._to_str(self.wb020))
        out.append(self._to_str(self.db_wb020))
        out.append(self._to_str(self.ws_db004))
        out.append(self._to_str(self.wd_db004))
        out.append(self._to_str(self.dp004))
        out.append(self._to_str(self.hr_dp004))
        out.append(self._to_str(self.db_dp004))
        out.append(self._to_str(self.dp010))
        out.append(self._to_str(self.hr_dp010))
        out.append(self._to_str(self.db_dp010))
        out.append(self._to_str(self.dp020))
        out.append(self._to_str(self.hr_dp020))
        out.append(self._to_str(self.db_dp020))
        out.append(self._to_str(self.en004))
        out.append(self._to_str(self.db_en004))
        out.append(self._to_str(self.en010))
        out.append(self._to_str(self.db_en010))
        out.append(self._to_str(self.en020))
        out.append(self._to_str(self.db_en020))
        out.append(self._to_str(self.hrs_84_and_db12_8_or_20_6))
        out.append(self._to_str(self.design_stat_extremes))
        out.append(self._to_str(self.ws010))
        out.append(self._to_str(self.ws025))
        out.append(self._to_str(self.ws050))
        out.append(self._to_str(self.wbmax))
        out.append(self._to_str(self.dbmin_mean))
        out.append(self._to_str(self.dbmax_mean))
        out.append(self._to_str(self.dbmin_stddev))
        out.append(self._to_str(self.dbmax_stddev))
        out.append(self._to_str(self.dbmin05years))
        out.append(self._to_str(self.dbmax05years))
        out.append(self._to_str(self.dbmin10years))
        out.append(self._to_str(self.dbmax10years))
        out.append(self._to_str(self.dbmin20years))
        out.append(self._to_str(self.dbmax20years))
        out.append(self._to_str(self.dbmin50years))
        out.append(self._to_str(self.dbmax50years))
        return ",".join(out)


Instruction:
Can you create a Python 3 function that
reads the values. and adds them to the object.

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        count = int(vals[i])
        i += 1
        for _ in range(count):
            obj = DesignCondition()
            obj.read(vals[i:i + obj.field_count])
            self.add_design_condition(obj)
            i += obj.field_count


Instruction:
Implement a Python 3 function for
reading values. Args: vals (list): list of strings representing values

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        if len(vals[i]) == 0:
            self.typical_or_extreme_period_name = None
        else:
            self.typical_or_extreme_period_name = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.typical_or_extreme_period_type = None
        else:
            self.typical_or_extreme_period_type = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.period_start_day = None
        else:
            self.period_start_day = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.period_end_day = None
        else:
            self.period_end_day = vals[i]
        i += 1


Instruction:
Write a Python 3 script for
corresponding to IDD Field typical_or_extreme_period_name

Response:
def typical_or_extreme_period_name(self, value=None):
        """Corresponds to IDD Field `typical_or_extreme_period_name`

        Args:
            value (str): value for IDD Field `typical_or_extreme_period_name`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `typical_or_extreme_period_name`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `typical_or_extreme_period_name`')

        self._typical_or_extreme_period_name = value


Instruction:
Can you implement a function in Python 3 that
corresponds to IDD Field typical_or_extreme_period_type

Response:
def typical_or_extreme_period_type(self, value=None):
        """Corresponds to IDD Field `typical_or_extreme_period_type`

        Args:
            value (str): value for IDD Field `typical_or_extreme_period_type`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `typical_or_extreme_period_type`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `typical_or_extreme_period_type`')

        self._typical_or_extreme_period_type = value


Instruction:
Write a Python 3 function that can
correspond to IDD Field period_start_day

Response:
def period_start_day(self, value=None):
        """Corresponds to IDD Field `period_start_day`

        Args:
            value (str): value for IDD Field `period_start_day`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `period_start_day`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `period_start_day`')

        self._period_start_day = value


Instruction:
Explain what the following Python 3 code does
def period_end_day(self, value=None):
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `period_end_day`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `period_end_day`')

        self._period_end_day = value

Response: Corresponds to IDD Field period_end_day


Instruction:
How would you code a function in Python 3 to
export object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.typical_or_extreme_period_name))
        out.append(self._to_str(self.typical_or_extreme_period_type))
        out.append(self._to_str(self.period_start_day))
        out.append(self._to_str(self.period_end_day))
        return ",".join(out)


Instruction:
Write a Python 3 function that can
read the values. and adds them to the internal state.

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        count = int(vals[i])
        i += 1
        for _ in range(count):
            obj = TypicalOrExtremePeriod()
            obj.read(vals[i:i + obj.field_count])
            self.add_typical_or_extreme_period(obj)
            i += obj.field_count


Instruction:
How would you code a function in Python 3 to
export object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(str(len(self.typical_or_extreme_periods)))
        for obj in self.typical_or_extreme_periods:
            out.append(obj.export(top=False))
        return ",".join(out)


Instruction:
Given the following Python 3 function, write the documentation
def read(self, vals):
        i = 0
        if len(vals[i]) == 0:
            self.ground_temperature_depth = None
        else:
            self.ground_temperature_depth = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_soil_conductivity = None
        else:
            self.depth_soil_conductivity = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_soil_density = None
        else:
            self.depth_soil_density = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_soil_specific_heat = None
        else:
            self.depth_soil_specific_heat = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_january_average_ground_temperature = None
        else:
            self.depth_january_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_february_average_ground_temperature = None
        else:
            self.depth_february_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_march_average_ground_temperature = None
        else:
            self.depth_march_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_april_average_ground_temperature = None
        else:
            self.depth_april_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_may_average_ground_temperature = None
        else:
            self.depth_may_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_june_average_ground_temperature = None
        else:
            self.depth_june_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_july_average_ground_temperature = None
        else:
            self.depth_july_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_august_average_ground_temperature = None
        else:
            self.depth_august_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_september_average_ground_temperature = None
        else:
            self.depth_september_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_october_average_ground_temperature = None
        else:
            self.depth_october_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_november_average_ground_temperature = None
        else:
            self.depth_november_average_ground_temperature = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.depth_december_average_ground_temperature = None
        else:
            self.depth_december_average_ground_temperature = vals[i]
        i += 1

Response: Reads the values from the array and sets the attributes of the object.


Instruction:
Can you tell what is the following Python 3 function doing
def ground_temperature_depth(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `ground_temperature_depth`'.format(value))

        self._ground_temperature_depth = value

Response: Corresponds to IDD Field ground_temperature_depth


Instruction:
Can you write a function in Python 3 where it
corresponds to IDD Field depth_soil_conductivity

Response:
def depth_soil_conductivity(self, value=None):
        """Corresponds to IDD Field `depth_soil_conductivity`

        Args:
            value (float): value for IDD Field `depth_soil_conductivity`
                Unit: W/m-K,
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_soil_conductivity`'.format(value))

        self._depth_soil_conductivity = value


Instruction:
Can you generate the documentation for the following Python 3 function
def depth_soil_density(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_soil_density`'.format(value))

        self._depth_soil_density = value

Response: Corresponds to IDD Field depth_soil_density


Instruction:
Implement a Python 3 function for
corresponding to IDD Field depth_soil_specific_heat

Response:
def depth_soil_specific_heat(self, value=None):
        """Corresponds to IDD Field `depth_soil_specific_heat`

        Args:
            value (float): value for IDD Field `depth_soil_specific_heat`
                Unit: J/kg-K,
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_soil_specific_heat`'.format(value))

        self._depth_soil_specific_heat = value


Instruction:
Can you tell what is the following Python 3 function doing
def depth_january_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_january_average_ground_temperature`'.format(value))

        self._depth_january_average_ground_temperature = value

Response: Corresponds to IDD Field depth_january_average_ground_temperature


Instruction:
Here you have a function in Python 3, explain what it does
def depth_february_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_february_average_ground_temperature`'.format(value))

        self._depth_february_average_ground_temperature = value

Response: Corresponds to IDD Field depth_february_average_ground_temperature


Instruction:
Can you create a Python 3 function that
corresponds to IDD Field depth_march_average_ground_temperature

Response:
def depth_march_average_ground_temperature(self, value=None):
        """Corresponds to IDD Field `depth_march_average_ground_temperature`

        Args:
            value (float): value for IDD Field `depth_march_average_ground_temperature`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_march_average_ground_temperature`'.format(value))

        self._depth_march_average_ground_temperature = value


Instruction:
Create a Python 3 function for
corresponding to IDD Field depth_april_average_ground_temperature

Response:
def depth_april_average_ground_temperature(self, value=None):
        """Corresponds to IDD Field `depth_april_average_ground_temperature`

        Args:
            value (float): value for IDD Field `depth_april_average_ground_temperature`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_april_average_ground_temperature`'.format(value))

        self._depth_april_average_ground_temperature = value


Instruction:
Explain what the following Python 3 code does
def depth_may_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_may_average_ground_temperature`'.format(value))

        self._depth_may_average_ground_temperature = value

Response: Corresponds to IDD Field depth_may_average_ground_temperature


Instruction:
Can you create a Python 3 function that
corresponds to IDD Field depth_june_average_ground_temperature

Response:
def depth_june_average_ground_temperature(self, value=None):
        """Corresponds to IDD Field `depth_june_average_ground_temperature`

        Args:
            value (float): value for IDD Field `depth_june_average_ground_temperature`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_june_average_ground_temperature`'.format(value))

        self._depth_june_average_ground_temperature = value


Instruction:
Explain what the following Python 3 code does
def depth_july_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_july_average_ground_temperature`'.format(value))

        self._depth_july_average_ground_temperature = value

Response: Corresponds to IDD Field depth_july_average_ground_temperature


Instruction:
Implement a function in Python 3 to
correspond to IDD Field depth_august_average_ground_temperature

Response:
def depth_august_average_ground_temperature(self, value=None):
        """Corresponds to IDD Field `depth_august_average_ground_temperature`

        Args:
            value (float): value for IDD Field `depth_august_average_ground_temperature`
                Unit: C
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_august_average_ground_temperature`'.format(value))

        self._depth_august_average_ground_temperature = value


Instruction:
Here you have a function in Python 3, explain what it does
def depth_september_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_september_average_ground_temperature`'.format(value))

        self._depth_september_average_ground_temperature = value

Response: Corresponds to IDD Field depth_september_average_ground_temperature


Instruction:
Make a summary of the following Python 3 code
def depth_october_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_october_average_ground_temperature`'.format(value))

        self._depth_october_average_ground_temperature = value

Response: Corresponds to IDD Field depth_october_average_ground_temperature


Instruction:
How would you explain what the following Python 3 function does
def depth_november_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_november_average_ground_temperature`'.format(value))

        self._depth_november_average_ground_temperature = value

Response: Corresponds to IDD Field depth_november_average_ground_temperature


Instruction:
Make a summary of the following Python 3 code
def depth_december_average_ground_temperature(self, value=None):
        if value is not None:
            try:
                value = float(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type float '
                    'for field `depth_december_average_ground_temperature`'.format(value))

        self._depth_december_average_ground_temperature = value

Response: Corresponds to IDD Field depth_december_average_ground_temperature


Instruction:
How would you code a function in Python 3 to
export the current object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.ground_temperature_depth))
        out.append(self._to_str(self.depth_soil_conductivity))
        out.append(self._to_str(self.depth_soil_density))
        out.append(self._to_str(self.depth_soil_specific_heat))
        out.append(self._to_str(self.depth_january_average_ground_temperature))
        out.append(
            self._to_str(
                self.depth_february_average_ground_temperature))
        out.append(self._to_str(self.depth_march_average_ground_temperature))
        out.append(self._to_str(self.depth_april_average_ground_temperature))
        out.append(self._to_str(self.depth_may_average_ground_temperature))
        out.append(self._to_str(self.depth_june_average_ground_temperature))
        out.append(self._to_str(self.depth_july_average_ground_temperature))
        out.append(self._to_str(self.depth_august_average_ground_temperature))
        out.append(
            self._to_str(
                self.depth_september_average_ground_temperature))
        out.append(self._to_str(self.depth_october_average_ground_temperature))
        out.append(
            self._to_str(
                self.depth_november_average_ground_temperature))
        out.append(
            self._to_str(
                self.depth_december_average_ground_temperature))
        return ",".join(out)


Instruction:
Create a Python 3 function for
reading the values. and adds them to the object.

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        count = int(vals[i])
        i += 1
        for _ in range(count):
            obj = GroundTemperature()
            obj.read(vals[i:i + obj.field_count])
            self.add_ground_temperature(obj)
            i += obj.field_count


Instruction:
Can you generate the documentation for the following Python 3 function
def read(self, vals):
        i = 0
        if len(vals[i]) == 0:
            self.holiday_name = None
        else:
            self.holiday_name = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.holiday_day = None
        else:
            self.holiday_day = vals[i]
        i += 1

Response:
Reads the values.
            self. holiday_name and self. holiday_day from the list of strings representing values

       .


Instruction:
Explain what the following Python 3 code does
def holiday_name(self, value=None):
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `holiday_name`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `holiday_name`')

        self._holiday_name = value

Response: Corresponds to IDD Field holiday_name


Instruction:
Given the following Python 3 function, write the documentation
def holiday_day(self, value=None):
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `holiday_day`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `holiday_day`')

        self._holiday_day = value

Response: Corresponds to IDD Field holiday_day


Instruction:
Can you write a function in Python 3 where it
exports object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.holiday_name))
        out.append(self._to_str(self.holiday_day))
        return ",".join(out)


Instruction:
Can you tell what is the following Python 3 function doing
def read(self, vals):
        i = 0
        if len(vals[i]) == 0:
            self.leapyear_observed = None
        else:
            self.leapyear_observed = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.daylight_saving_start_day = None
        else:
            self.daylight_saving_start_day = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.daylight_saving_end_day = None
        else:
            self.daylight_saving_end_day = vals[i]
        i += 1
        count = int(vals[i])
        i += 1
        for _ in range(count):
            obj = Holiday()
            obj.read(vals[i:i + obj.field_count])
            self.add_holiday(obj)
            i += obj.field_count

Response:
Read values.

        Args:
            vals (list): list of strings representing values


Instruction:
Can you create a Python 3 function that
corresponds to IDD Field leapyear_observed

Response:
def leapyear_observed(self, value=None):
        """Corresponds to IDD Field `leapyear_observed` Yes if Leap Year will
        be observed for this file No if Leap Year days (29 Feb) should be
        ignored in this file.

        Args:
            value (str): value for IDD Field `leapyear_observed`
                Accepted values are:
                      - Yes
                      - No
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `leapyear_observed`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `leapyear_observed`')
            vals = set()
            vals.add("Yes")
            vals.add("No")
            if value not in vals:
                raise ValueError('value {} is not an accepted value for '
                                 'field `leapyear_observed`'.format(value))

        self._leapyear_observed = value


Instruction:
Explain what the following Python 3 code does
def daylight_saving_start_day(self, value=None):
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `daylight_saving_start_day`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `daylight_saving_start_day`')

        self._daylight_saving_start_day = value

Response: Corresponds to IDD Field daylight_saving_start_day


Instruction:
Write a Python 3 script for
corresponding to IDD Field daylight_saving_end_day

Response:
def daylight_saving_end_day(self, value=None):
        """Corresponds to IDD Field `daylight_saving_end_day`

        Args:
            value (str): value for IDD Field `daylight_saving_end_day`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError(
                    'value {} need to be of type str '
                    'for field `daylight_saving_end_day`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `daylight_saving_end_day`')

        self._daylight_saving_end_day = value


Instruction:
Make a summary of the following Python 3 code
def export(self, top=True):
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.leapyear_observed))
        out.append(self._to_str(self.daylight_saving_start_day))
        out.append(self._to_str(self.daylight_saving_end_day))
        out.append(str(len(self.holidays)))
        for obj in self.holidays:
            out.append(obj.export(top=False))
        return ",".join(out)

Response: Exports object to its string representation.


Instruction:
Create a Python 3 function to
read the values. and sets the comments_1 attribute of the object.

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        if len(vals[i]) == 0:
            self.comments_1 = None
        else:
            self.comments_1 = vals[i]
        i += 1


Instruction:
Write a Python 3 function that can
correspond to IDD Field comments_1

Response:
def comments_1(self, value=None):
        """Corresponds to IDD Field `comments_1`

        Args:
            value (str): value for IDD Field `comments_1`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `comments_1`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `comments_1`')

        self._comments_1 = value


Instruction:
Create a Python 3 function to
read the values. and sets the comments_2 attribute of the object.

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        if len(vals[i]) == 0:
            self.comments_2 = None
        else:
            self.comments_2 = vals[i]
        i += 1


Instruction:
Create a Python 3 function for
corresponding to IDD Field comments_2

Response:
def comments_2(self, value=None):
        """Corresponds to IDD Field `comments_2`

        Args:
            value (str): value for IDD Field `comments_2`
                if `value` is None it will not be checked against the
                specification and is assumed to be a missing value

        Raises:
            ValueError: if `value` is not a valid value

        """
        if value is not None:
            try:
                value = str(value)
            except ValueError:
                raise ValueError('value {} need to be of type str '
                                 'for field `comments_2`'.format(value))
            if ',' in value:
                raise ValueError('value should not contain a comma '
                                 'for field `comments_2`')

        self._comments_2 = value


Instruction:
Can you implement a function in Python 3 that
exports object to its string representation.

Response:
def export(self, top=True):
        """Exports object to its string representation.

        Args:
            top (bool):  if True appends `internal_name` before values.
                All non list objects should be exported with value top=True,
                all list objects, that are embedded in as fields inlist objects
                should be exported with `top`=False

        Returns:
            str: The objects string representation

        """
        out = []
        if top:
            out.append(self._internal_name)
        out.append(self._to_str(self.comments_2))
        return ",".join(out)


Instruction:
How would you code a function in Python 3 to
read the values from the list of strings representing values .

Response:
def read(self, vals):
        """Read values.

        Args:
            vals (list): list of strings representing values

        """
        i = 0
        if len(vals[i]) == 0:
            self.number_of_records_per_hour = None
        else:
            self.number_of_records_per_hour = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.data_period_name_or_description = None
        else:
            self.data_period_name_or_description = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.data_period_start_day_of_week = None
        else:
            self.data_period_start_day_of_week = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.data_period_start_day = None
        else:
            self.data_period_start_day = vals[i]
        i += 1
        if len(vals[i]) == 0:
            self.data_period_end_day = None
        else:
            self.data_period_end_day = vals[i]
        i += 1