Python ParameterContext.fill_value方法代码示例

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def create_contexts(self):
        context_ids = []
        cond_ctxt = ParameterContext('conductivity_test', param_type=QuantityType(value_encoding=np.float32))
        cond_ctxt.uom = 'unknown'
        cond_ctxt.fill_value = 0e0
        context_ids.append(self.dataset_management.create_parameter_context(name='conductivity_test', parameter_context=cond_ctxt.dump()))

        pres_ctxt = ParameterContext('pressure_test', param_type=QuantityType(value_encoding=np.float32))
        pres_ctxt.uom = 'Pascal'
        pres_ctxt.fill_value = 0x0
        context_ids.append(self.dataset_management.create_parameter_context(name='pressure_test', parameter_context=pres_ctxt.dump()))

        sal_ctxt = ParameterContext('salinity_test', param_type=QuantityType(value_encoding=np.float32))
        sal_ctxt.uom = 'PSU'
        sal_ctxt.fill_value = 0x0
        context_ids.append(self.dataset_management.create_parameter_context(name='salinity_test', parameter_context=sal_ctxt.dump()))

        temp_ctxt = ParameterContext('temp_test', param_type=QuantityType(value_encoding=np.float32))
        temp_ctxt.uom = 'degree_Celsius'
        temp_ctxt.fill_value = 0e0
        context_ids.append(self.dataset_management.create_parameter_context(name='temp_test', parameter_context=temp_ctxt.dump()))

        t_ctxt = ParameterContext('time_test', param_type=QuantityType(value_encoding=np.int64))
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0
        context_ids.append(self.dataset_management.create_parameter_context(name='time_test', parameter_context=t_ctxt.dump()))

        return context_ids

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def _create_parameter(self):

        pdict = ParameterDictionary()

        pdict = self._add_location_time_ctxt(pdict)

        pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.float32))
        pres_ctxt.uom = 'Pascal'
        pres_ctxt.fill_value = 0x0
        pdict.add_context(pres_ctxt)

        temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.float32))
        temp_ctxt.uom = 'degree_Celsius'
        temp_ctxt.fill_value = 0e0
        pdict.add_context(temp_ctxt)

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.float32))
        cond_ctxt.uom = 'unknown'
        cond_ctxt.fill_value = 0e0
        pdict.add_context(cond_ctxt)

        raw_fixed_ctxt = ParameterContext('raw_fixed', param_type=QuantityType(value_encoding=numpy.float32))
        raw_fixed_ctxt.uom = 'unknown'
        raw_fixed_ctxt.fill_value = 0e0
        pdict.add_context(raw_fixed_ctxt)

        raw_blob_ctxt = ParameterContext('raw_blob', param_type=QuantityType(value_encoding=numpy.float32))
        raw_blob_ctxt.uom = 'unknown'
        raw_blob_ctxt.fill_value = 0e0
        pdict.add_context(raw_blob_ctxt)

        return pdict

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def create_parameters(cls):
        '''
        WARNING: This method is a wrapper intended only for tests, it should not be used in production code.
        It probably will not align to most datasets.
        '''
        pdict = ParameterDictionary()
        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0
        pdict.add_context(t_ctxt)

        lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
        lat_ctxt.axis = AxisTypeEnum.LAT
        lat_ctxt.uom = 'degree_north'
        lat_ctxt.fill_value = 0e0
        pdict.add_context(lat_ctxt)

        lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
        lon_ctxt.axis = AxisTypeEnum.LON
        lon_ctxt.uom = 'degree_east'
        lon_ctxt.fill_value = 0e0
        pdict.add_context(lon_ctxt)

        temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=np.float32))
        temp_ctxt.uom = 'degree_Celsius'
        temp_ctxt.fill_value = 0e0
        pdict.add_context(temp_ctxt)

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float32))
        cond_ctxt.uom = 'unknown'
        cond_ctxt.fill_value = 0e0
        pdict.add_context(cond_ctxt)

        data_ctxt = ParameterContext('data', param_type=QuantityType(value_encoding=np.int8))
        data_ctxt.uom = 'byte'
        data_ctxt.fill_value = 0x0
        pdict.add_context(data_ctxt)

        pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=np.float32))
        pres_ctxt.uom = 'Pascal'
        pres_ctxt.fill_value = 0x0
        pdict.add_context(pres_ctxt)

        sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=np.float32))
        sal_ctxt.uom = 'PSU'
        sal_ctxt.fill_value = 0x0
        pdict.add_context(sal_ctxt)

        dens_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=np.float32))
        dens_ctxt.uom = 'unknown'
        dens_ctxt.fill_value = 0x0
        pdict.add_context(dens_ctxt)

        return pdict

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def create(self, path):
        mkdir_silent(path)
        
        tcrs = CRS([AxisTypeEnum.TIME])
        scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT, AxisTypeEnum.HEIGHT])

        tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE)
        sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # Dimensionality is excluded for now
            
        pdict = ParameterDictionary()
        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0
        pdict.add_context(t_ctxt)

        lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
        lat_ctxt.axis = AxisTypeEnum.LAT
        lat_ctxt.uom = 'degree_north'
        lat_ctxt.fill_value = 0e0
        pdict.add_context(lat_ctxt)

        lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
        lon_ctxt.axis = AxisTypeEnum.LON
        lon_ctxt.uom = 'degree_east'
        lon_ctxt.fill_value = 0e0
        pdict.add_context(lon_ctxt)

        dens_ctxt = ParameterContext('data_quantity', param_type=QuantityType(value_encoding=np.float32))
        dens_ctxt.uom = 'unknown'
        dens_ctxt.fill_value = 0x0
        pdict.add_context(dens_ctxt)
        
        serial_ctxt = ParameterContext('data_array', param_type=ArrayType())
        serial_ctxt.uom = 'unknown'
        serial_ctxt.fill_value = 0x0
        pdict.add_context(serial_ctxt)
       
        guid = str(uuid.uuid4()).upper()

        self.path = path
        self.cov = SimplexCoverage(path, guid, name='test_cov', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom)

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
 def build_context(self,record):
     context = ParameterContext(name=record['Name'], param_type=self.param_type(record['Parameter Type']))
     context.uom = record['Unit of Measure']
     if record['Fill Value']:
         context.fill_value = self.fill_value(record['Fill Value'], record['Parameter Type'])
     if record['Axis']:
         context.axis = self.ref_frame(record['Axis'])
     for key in self.additional_attrs.iterkeys():
         if key in record and record[key]:
             setattr(context,self.additional_attrs[key],record[key])
     return context

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def _add_location_time_ctxt(self, pdict):

        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.int64))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0
        pdict.add_context(t_ctxt)

        lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=numpy.float32))
        lat_ctxt.axis = AxisTypeEnum.LAT
        lat_ctxt.uom = 'degree_north'
        lat_ctxt.fill_value = 0e0
        pdict.add_context(lat_ctxt)

        lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=numpy.float32))
        lon_ctxt.axis = AxisTypeEnum.LON
        lon_ctxt.uom = 'degree_east'
        lon_ctxt.fill_value = 0e0
        pdict.add_context(lon_ctxt)

        return pdict

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def create_parameters(cls):
        pdict = ParameterDictionary()
        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
        t_ctxt.reference_frame = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0
        pdict.add_context(t_ctxt)

        lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
        lat_ctxt.reference_frame = AxisTypeEnum.LAT
        lat_ctxt.uom = 'degree_north'
        lat_ctxt.fill_value = 0e0
        pdict.add_context(lat_ctxt)

        lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
        lon_ctxt.reference_frame = AxisTypeEnum.LON
        lon_ctxt.uom = 'degree_east'
        lon_ctxt.fill_value = 0e0
        pdict.add_context(lon_ctxt)

        depth_ctxt = ParameterContext('depth', param_type=QuantityType(value_encoding=np.float32))
        depth_ctxt.reference_frame = AxisTypeEnum.HEIGHT
        depth_ctxt.uom = 'meters'
        depth_ctxt.fill_value = 0e0
        pdict.add_context(depth_ctxt)

        temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=np.float32))
        temp_ctxt.uom = 'degree_Celsius'
        temp_ctxt.fill_value = 0e0
        pdict.add_context(temp_ctxt)

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float32))
        cond_ctxt.uom = 'unknown'
        cond_ctxt.fill_value = 0e0
        pdict.add_context(cond_ctxt)

        data_ctxt = ParameterContext('data', param_type=QuantityType(value_encoding=np.int8))
        data_ctxt.uom = 'byte'
        data_ctxt.fill_value = 0x0
        pdict.add_context(data_ctxt)

        return pdict

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def defining_parameter_dictionary(self):

        # Define the parameter context objects

        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
        t_ctxt.reference_frame = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 1970-01-01'
        t_ctxt.fill_value = 0x0

        lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
        lat_ctxt.reference_frame = AxisTypeEnum.LAT
        lat_ctxt.uom = 'degree_north'
        lat_ctxt.fill_value = 0e0

        lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
        lon_ctxt.reference_frame = AxisTypeEnum.LON
        lon_ctxt.uom = 'degree_east'
        lon_ctxt.fill_value = 0e0

        height_ctxt = ParameterContext('height', param_type=QuantityType(value_encoding=np.float32))
        height_ctxt.reference_frame = AxisTypeEnum.HEIGHT
        height_ctxt.uom = 'meters'
        height_ctxt.fill_value = 0e0

        temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=np.float32))
        temp_ctxt.uom = 'degree_Celsius'
        temp_ctxt.fill_value = 0e0


        data_ctxt = ParameterContext('data', param_type=QuantityType(value_encoding=np.int8))
        data_ctxt.uom = 'byte'
        data_ctxt.fill_value = 0x0

        # Define the parameter dictionary objects

        self.temp = ParameterDictionary()
        self.temp.add_context(t_ctxt)
        self.temp.add_context(lat_ctxt)
        self.temp.add_context(lon_ctxt)
        self.temp.add_context(height_ctxt)
        self.temp.add_context(temp_ctxt)
        self.temp.add_context(data_ctxt)

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
    def get_param_dict(self):
        pdict = ParameterDictionary()

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float64))
        cond_ctxt.uom = 'unknown'
        cond_ctxt.fill_value = 0e0
        pdict.add_context(cond_ctxt)

        pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=np.float64))
        pres_ctxt.uom = 'unknown'
        pres_ctxt.fill_value = 0x0
        pdict.add_context(pres_ctxt)

        temp_ctxt = ParameterContext('temperature', param_type=QuantityType(value_encoding=np.float64))
        temp_ctxt.uom = 'unknown'
        temp_ctxt.fill_value = 0x0
        pdict.add_context(temp_ctxt)

        oxy_ctxt = ParameterContext('oxygen', param_type=QuantityType(value_encoding=np.float64))
        oxy_ctxt.uom = 'unknown'
        oxy_ctxt.fill_value = 0x0
        pdict.add_context(oxy_ctxt)

        internal_ts_ctxt = ParameterContext(name='internal_timestamp', param_type=QuantityType(value_encoding=np.float64))
        internal_ts_ctxt._derived_from_name = 'time'
        internal_ts_ctxt.uom = 'seconds'
        internal_ts_ctxt.fill_value = -1
        pdict.add_context(internal_ts_ctxt, is_temporal=True)

        driver_ts_ctxt = ParameterContext(name='driver_timestamp', param_type=QuantityType(value_encoding=np.float64))
        driver_ts_ctxt._derived_from_name = 'time'
        driver_ts_ctxt.uom = 'seconds'
        driver_ts_ctxt.fill_value = -1
        pdict.add_context(driver_ts_ctxt)

        return pdict

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
def load():
    from coverage_model.parameter import ParameterContext
    from coverage_model.parameter_types import QuantityType, ArrayType, RecordType
    from coverage_model.basic_types import AxisTypeEnum
    import numpy as np
    contexts = []

    cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float32))
    cond_ctxt.uom = 'unknown'
    cond_ctxt.fill_value = 0e0
    contexts.append(cond_ctxt)

    pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=np.float32))
    pres_ctxt.uom = 'Pascal'
    pres_ctxt.fill_value = 0x0
    contexts.append(pres_ctxt)

    sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=np.float32))
    sal_ctxt.uom = 'PSU'
    sal_ctxt.fill_value = 0x0
    contexts.append(sal_ctxt)

    den_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=np.float32))
    den_ctxt.uom = 'kg/m3'
    den_ctxt.fill_value = 0x0
    contexts.append(den_ctxt)

    temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=np.float32))
    temp_ctxt.uom = 'degree_Celsius'
    temp_ctxt.fill_value = 0e0
    contexts.append(temp_ctxt)

    t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
    t_ctxt.uom = 'seconds since 1970-01-01'
    t_ctxt.fill_value = 0x0
    contexts.append(t_ctxt)

    lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
    lat_ctxt.reference_frame = AxisTypeEnum.LAT
    lat_ctxt.uom = 'degree_north'
    lat_ctxt.fill_value = 0e0
    contexts.append(lat_ctxt)

    lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
    lon_ctxt.reference_frame = AxisTypeEnum.LON
    lon_ctxt.uom = 'degree_east'
    lon_ctxt.fill_value = 0e0
    contexts.append(lon_ctxt)

    raw_ctxt = ParameterContext('raw', param_type=ArrayType())
    raw_ctxt.description = 'raw binary string values'
    raw_ctxt.uom = 'utf-8 byte string'
    contexts.append(raw_ctxt)

    port_ts_ctxt = ParameterContext(name='port_timestamp', param_type=QuantityType(value_encoding=np.float64))
    port_ts_ctxt._derived_from_name = 'time'
    port_ts_ctxt.uom = 'seconds'
    port_ts_ctxt.fill_value = -1
    contexts.append(port_ts_ctxt)

    driver_ts_ctxt = ParameterContext(name='driver_timestamp', param_type=QuantityType(value_encoding=np.float64))
    driver_ts_ctxt._derived_from_name = 'time'
    driver_ts_ctxt.uom = 'seconds'
    driver_ts_ctxt.fill_value = -1
    contexts.append(driver_ts_ctxt)

    internal_ts_ctxt = ParameterContext(name='internal_timestamp', param_type=QuantityType(value_encoding=np.float64))
    internal_ts_ctxt._derived_from_name = 'time'
    internal_ts_ctxt.uom = 'seconds'
    internal_ts_ctxt.fill_value = -1
    contexts.append(internal_ts_ctxt)

    timer_num_ctxt = ParameterContext(name='timer', param_type=QuantityType(value_encoding=np.float64))
    timer_num_ctxt.fill_value = -1
    contexts.append(timer_num_ctxt)

    serial_num_ctxt = ParameterContext(name='serial_num', param_type=QuantityType(value_encoding=np.int32))
    serial_num_ctxt.fill_value = -1
    contexts.append(serial_num_ctxt)

    count_ctxt = ParameterContext(name='counts', param_type=QuantityType(value_encoding=np.uint64))
    count_ctxt.fill_value = -1
    contexts.append(count_ctxt)

    checksum_ctxt = ParameterContext(name='checksum', param_type=QuantityType(value_encoding=np.int32))
    checksum_ctxt.fill_value = -1
    contexts.append(checksum_ctxt)

    pref_ts_ctxt = ParameterContext(name='preferred_timestamp', param_type=ArrayType())
    pref_ts_ctxt.description = 'name of preferred timestamp'
    contexts.append(pref_ts_ctxt)

    # TODO: This should probably be of type CategoryType when implemented
    qual_flag_ctxt = ParameterContext(name='quality_flag', param_type=ArrayType())
    qual_flag_ctxt.description = 'flag indicating quality'
    contexts.append(qual_flag_ctxt)

    viz_ts_ctxt = ParameterContext(name='viz_timestamp', param_type=QuantityType(value_encoding=np.float64))
    viz_ts_ctxt._derived_from_name = 'time'
    viz_ts_ctxt.uom = 'seconds'
#.........这里部分代码省略.........

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
 def get_context(self, ptype, encoding, fill_value, codeset=None):
     ptype = self.types_manager.get_parameter_type(ptype, encoding, codeset)
     context = ParameterContext(name='test', param_type=ptype)
     context.fill_value = self.types_manager.get_fill_value(fill_value, encoding, ptype)
     return context

# 需要导入模块: from coverage_model.parameter import ParameterContext [as 别名]
# 或者: from coverage_model.parameter.ParameterContext import fill_value [as 别名]
def _make_coverage(path):
    tcrs = CRS([AxisTypeEnum.TIME])
    scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT, AxisTypeEnum.HEIGHT])

    tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE)
    sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # Dimensionality is excluded for now
        
    pdict = ParameterDictionary()
    t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
    t_ctxt.axis = AxisTypeEnum.TIME
    t_ctxt.uom = 'seconds since 1970-01-01'
    t_ctxt.fill_value = 0x0
    pdict.add_context(t_ctxt)
    
    lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
    lat_ctxt.axis = AxisTypeEnum.LAT
    lat_ctxt.uom = 'degree_north'
    lat_ctxt.fill_value = 0e0
    pdict.add_context(lat_ctxt)

    lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
    lon_ctxt.axis = AxisTypeEnum.LON
    lon_ctxt.uom = 'degree_east'
    lon_ctxt.fill_value = 0e0
    pdict.add_context(lon_ctxt)
    
    cat = {0:'lemon',1:'apple',2:'banana',99:'None'}
    cat_ctxt = ParameterContext('category', param_type=CategoryType(categories=cat))
    cat_ctxt.long_name = "example of category"
    pdict.add_context(cat_ctxt)
    

    dens_ctxt = ParameterContext('quantity', param_type=QuantityType(value_encoding=np.float32))
    dens_ctxt.uom = 'unknown'
    dens_ctxt.fill_value = 0x0
    pdict.add_context(dens_ctxt)
    
    
    const_ctxt = ParameterContext('constant', param_type=ConstantType())
    const_ctxt.long_name = 'example of a parameter of type ConstantType'
    pdict.add_context(const_ctxt)
    
    rec_ctxt = ParameterContext('boolean', param_type=BooleanType())
    rec_ctxt.long_name = 'example of a parameter of type BooleanType'
    pdict.add_context(rec_ctxt)
    
    
    rec_ctxt = ParameterContext('range', param_type=ConstantRangeType())
    rec_ctxt.long_name = 'Range example'
    rec_ctxt.fill_value = 0x0
    pdict.add_context(rec_ctxt)
    
    rec_ctxt = ParameterContext('record', param_type=RecordType())
    rec_ctxt.long_name = 'example of a parameter of type RecordType, will be filled with dictionaries'
    rec_ctxt.fill_value = 0x0
    pdict.add_context(rec_ctxt)
    
    serial_ctxt = ParameterContext('array', param_type=ArrayType())
    serial_ctxt.uom = 'unknown'
    serial_ctxt.fill_value = 0x0
    pdict.add_context(serial_ctxt)
    
    guid = create_guid()
    guid = guid.replace("-", "")
    cov = SimplexCoverage(path, guid, name="sample_cov", parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom)
    
    return (cov,path+os.sep+guid)