def get_cov(cls, only_time=False, save_coverage=False, in_memory=False, inline_data_writes=True, brick_size=None, make_empty=False, nt=None, auto_flush_values=True):
"""
Construct coverage
"""
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestOneParamCovInt'
else:
# Add data for the parameter
scov.set_parameter_values(make_parameter_data_dict({'time': np.arange(nt)}))
if in_memory and save_coverage:
SimplexCoverage.pickle_save(scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestOneParamCovInt'
def get_cov(cls, only_time=False, param_filter=None, save_coverage=False, in_memory=False, inline_data_writes=True, brick_size=None, make_empty=False, nt=None, auto_flush_values=True):
# Instantiate a ParameterDictionary
pname_filter = ['time',
'lat',
'lon',
'temp',
'conductivity']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
if in_memory and save_coverage:
SimplexCoverage.pickle_save(scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestEmptySampleCovInt'
def get_cov(cls, only_time=False, save_coverage=False, in_memory=False, inline_data_writes=True, brick_size=None, make_empty=False, nt=None, auto_flush_values=True):
# Instantiate a ParameterDictionary
pname_filter = ['time',
'lat',
'lon',
'temp',
'conductivity']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestSampleCovInt'
else:
params = {}
params['time'] = np.arange(nt)
if not only_time:
params['lat'] = np.empty(nt)
params['lat'].fill(45)
params['lon'] = np.empty(nt)
params['lon'].fill(-71)
params['temp'] = utils.get_random_sample(nt, 23, 26)
params['conductivity'] = utils.get_random_sample(nt, 90, 110)
scov.set_parameter_values(params)
# Add data for each parameter
# scov.set_parameter_values({'time': np.arange(nt)})
# if not only_time:
# scov.set_parameter_values('lat', value=45)
# scov.set_parameter_values('lon', value=-71)
# # make a random sample of 10 values between 23 and 26
# # Ref: http://docs.scipy.org/doc/numpy/reference/generated/numpy.random.random_sample.html#numpy.random.random_sample
# # --> To sample multiply the output of random_sample by (b-a) and add a
# tvals = utils.get_random_sample(nt, 23, 26)
# scov.set_parameter_values('temp', value=tvals)
# scov.set_parameter_values('conductivity', value=utils.get_random_sample(nt, 90, 110))
if in_memory and save_coverage:
SimplexCoverage.pickle_save(scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestSampleCovInt'
def get_cov(cls,
only_time=False,
save_coverage=False,
in_memory=False,
inline_data_writes=True,
brick_size=None,
make_empty=False,
nt=None,
auto_flush_values=True):
"""
Construct coverage
"""
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs,
MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial',
[0]), scrs, MutabilityEnum.IMMUTABLE
) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size': brick_size, 'chunk_size': True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir,
create_guid(),
'sample coverage_model',
parameter_dictionary=pdict,
temporal_domain=tdom,
spatial_domain=sdom,
inline_data_writes=inline_data_writes,
in_memory_storage=in_memory,
bricking_scheme=bricking_scheme,
auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestOneParamCovInt'
else:
scov.insert_timesteps(nt)
# Add data for the parameter
scov.set_parameter_values('time', value=np.arange(nt))
if in_memory and save_coverage:
SimplexCoverage.pickle_save(
scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestOneParamCovInt'
def get_cov(cls,
only_time=False,
param_filter=None,
save_coverage=False,
in_memory=False,
inline_data_writes=True,
brick_size=None,
make_empty=False,
nt=None,
auto_flush_values=True):
# Instantiate a ParameterDictionary
pname_filter = ['time', 'lat', 'lon', 'temp', 'conductivity']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs,
MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial',
[0]), scrs, MutabilityEnum.IMMUTABLE
) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size': brick_size, 'chunk_size': True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir,
create_guid(),
'sample coverage_model',
parameter_dictionary=pdict,
temporal_domain=tdom,
spatial_domain=sdom,
inline_data_writes=inline_data_writes,
in_memory_storage=in_memory,
bricking_scheme=bricking_scheme,
auto_flush_values=auto_flush_values)
if in_memory and save_coverage:
SimplexCoverage.pickle_save(
scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestEmptySampleCovInt'
def create_cov(cls, only_time=False, in_memory=False, inline_data_writes=True, brick_size=None, auto_flush_values=True):
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
pname_filter = ['time',
'boolean',
'const_int',
'const_rng_flt',
'const_rng_int',
'numexpr_func',
'category',
'record',
'sparse',
'lat',
'lon',
'depth',
'salinity']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
cov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
cls.coverages.add(cov.persistence_guid)
return cov
def construct_cov(
cls,
only_time=False,
save_coverage=False,
in_memory=False,
inline_data_writes=True,
brick_size=None,
make_empty=False,
nt=None,
auto_flush_values=True,
):
"""
Construct coverage
"""
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape("temporal", [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(
GridShape("spatial", [0]), scrs, MutabilityEnum.IMMUTABLE
) # 0d spatial topology (station/trajectory)
pname_filter = [
"time",
"boolean",
"const_float",
"const_int",
"const_str",
"const_rng_flt",
"const_rng_int",
"numexpr_func",
"category",
"quantity",
"array",
"record",
"fixed_str",
"sparse",
"lat",
"lon",
"depth",
]
if only_time:
pname_filter = ["time"]
pdict = get_parameter_dict(parameter_list=pname_filter)
if brick_size is not None:
bricking_scheme = {"brick_size": brick_size, "chunk_size": True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(
cls.working_dir,
create_guid(),
"sample coverage_model",
parameter_dictionary=pdict,
temporal_domain=tdom,
spatial_domain=sdom,
inline_data_writes=inline_data_writes,
in_memory_storage=in_memory,
bricking_scheme=bricking_scheme,
auto_flush_values=auto_flush_values,
)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, "TestTestSpanUnit"
else:
# Add data for each parameter
if only_time:
scov.set_parameter_values(
make_parameter_data_dict({scov.temporal_parameter_name: np.arange(1000, 10000, nt + 1)})
)
else:
parameter_values = {}
# scov.set_parameter_values('sparse', [[[2, 4, 6], [8, 10, 12]]])
# scov.insert_timesteps(nt/2)
#
# scov.set_parameter_values('sparse', [[[4, 8], [16, 20]]])
# scov.insert_timesteps(nt/2)
scov.append_parameter(ParameterContext("m_lon"))
scov.append_parameter(ParameterContext("m_lat"))
scov.append_parameter(ParameterContext("depth"))
parameter_values["time"] = np.arange(1000, 1000 + nt)
parameter_values["depth"] = 1000 * np.random.random_sample(nt)
parameter_values["m_lon"] = 160 * np.random.random_sample(nt)
parameter_values["m_lat"] = 70 * np.random.random_sample(nt)
scov.set_parameter_values(make_parameter_data_dict(parameter_values))
cls.coverages.add(scov.persistence_guid)
return scov, "TestSpanInt"
def get_cov(cls, only_time=False, save_coverage=False, in_memory=False, inline_data_writes=True, brick_size=None, make_empty=False, nt=None, auto_flush_values=True):
"""
Construct coverage
"""
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
pname_filter = ['time',
'boolean',
'const_float',
'const_int',
'const_str',
'const_rng_flt',
'const_rng_int',
'numexpr_func',
'category',
'quantity',
'array',
'record',
'fixed_str',
'sparse']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestPtypesCovInt'
else:
# Add data for each parameter
print nt
if only_time:
scov.insert_timesteps(nt)
scov.set_parameter_values('time', value=np.arange(nt))
else:
scov.set_parameter_values('sparse', [[[2, 4, 6], [8, 10, 12]]])
scov.insert_timesteps(nt/2)
scov.set_parameter_values('sparse', [[[4, 8], [16, 20]]])
scov.insert_timesteps(nt/2)
scov.set_parameter_values('time', value=np.arange(nt))
scov.set_parameter_values('boolean', value=[True, True, True], tdoa=[[2,4,14]])
scov.set_parameter_values('const_float', value=-71.11) # Set a constant with correct data type
scov.set_parameter_values('const_int', value=45.32) # Set a constant with incorrect data type (fixed under the hood)
scov.set_parameter_values('const_str', value='constant string value') # Set with a string
scov.set_parameter_values('const_rng_flt', value=(12.8, 55.2)) # Set with a tuple
scov.set_parameter_values('const_rng_int', value=[-10, 10]) # Set with a list
scov.set_parameter_values('quantity', value=np.random.random_sample(nt)*(26-23)+23)
arrval = []
recval = []
catval = []
fstrval = []
catkeys = EXEMPLAR_CATEGORIES.keys()
letts='abcdefghijklmnopqrstuvwxyz'
while len(letts) < nt:
letts += 'abcdefghijklmnopqrstuvwxyz'
for x in xrange(nt):
arrval.append(np.random.bytes(np.random.randint(1,20))) # One value (which is a byte string) for each member of the domain
d = {letts[x]: letts[x:]}
recval.append(d) # One value (which is a dict) for each member of the domain
catval.append(random.choice(catkeys))
fstrval.append(''.join([random.choice(letts) for x in xrange(8)])) # A random string of length 8
scov.set_parameter_values('array', value=arrval)
scov.set_parameter_values('record', value=recval)
scov.set_parameter_values('category', value=catval)
scov.set_parameter_values('fixed_str', value=fstrval)
if in_memory and save_coverage:
SimplexCoverage.pickle_save(scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestPtypesCovInt'
def construct_cov(cls, only_time=False, save_coverage=False, in_memory=False, inline_data_writes=True, brick_size=None, make_empty=False, nt=None, auto_flush_values=True):
"""
Construct coverage
"""
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs, MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial', [0]), scrs, MutabilityEnum.IMMUTABLE) # 0d spatial topology (station/trajectory)
pname_filter = ['time',
'boolean',
'const_float',
'const_int',
# 'const_str',
'const_rng_flt',
'const_rng_int',
'numexpr_func',
'category',
'quantity',
'array',
'record',
'fixed_str',
'sparse',
'lat',
'lon',
'depth']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
if brick_size is not None:
bricking_scheme = {'brick_size':brick_size, 'chunk_size':True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir, create_guid(), 'sample coverage_model', parameter_dictionary=pdict, temporal_domain=tdom, spatial_domain=sdom, inline_data_writes=inline_data_writes, in_memory_storage=in_memory, bricking_scheme=bricking_scheme, auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestSpanValidationUnit'
else:
np_dict = {}
# Add data for each parameter
time_array = np.arange(10000, 10000+nt)
np_dict[scov.temporal_parameter_name] = NumpyParameterData(scov.temporal_parameter_name, time_array, time_array)
if not only_time:
scov.append_parameter(ParameterContext('depth', fill_value=9999.0))
# scov.append_parameter(ParameterContext('lon'))
# scov.append_parameter(ParameterContext('lat'))
scov.append_parameter(ParameterContext('const_str', fill_value='Nope'))
np_dict['depth'] = NumpyParameterData('depth', np.random.uniform(0,200,[nt]), time_array)
np_dict['lon'] = NumpyParameterData('lon', np.random.uniform(-180,180,[nt]), time_array)
np_dict['lat'] = NumpyParameterData('lat', np.random.uniform(-90,90,[nt]), time_array)
np_dict['const_float'] = ConstantOverTime('const_float', 88.8, time_start=10000, time_end=10000+nt)
np_dict['const_str'] = ConstantOverTime('const_str', 'Jello', time_start=10000, time_end=10000+nt)
scov.set_parameter_values(np_dict)
cls.coverages.add(scov.persistence_guid)
return scov, 'TestSpanValidationInt'
def get_cov(cls,
only_time=False,
save_coverage=False,
in_memory=False,
inline_data_writes=True,
brick_size=None,
make_empty=False,
nt=None,
auto_flush_values=True):
"""
Construct coverage
"""
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs,
MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial',
[0]), scrs, MutabilityEnum.IMMUTABLE
) # 0d spatial topology (station/trajectory)
pname_filter = [
'time', 'boolean', 'const_float', 'const_int', 'const_str',
'const_rng_flt', 'const_rng_int', 'numexpr_func', 'category',
'quantity', 'array', 'record', 'fixed_str', 'sparse'
]
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
if brick_size is not None:
bricking_scheme = {'brick_size': brick_size, 'chunk_size': True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir,
create_guid(),
'sample coverage_model',
parameter_dictionary=pdict,
temporal_domain=tdom,
spatial_domain=sdom,
inline_data_writes=inline_data_writes,
in_memory_storage=in_memory,
bricking_scheme=bricking_scheme,
auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestPtypesCovInt'
else:
# Add data for each parameter
print nt
if only_time:
scov.insert_timesteps(nt)
scov.set_parameter_values('time', value=np.arange(nt))
else:
scov.set_parameter_values('sparse', [[[2, 4, 6], [8, 10, 12]]])
scov.insert_timesteps(nt / 2)
scov.set_parameter_values('sparse', [[[4, 8], [16, 20]]])
scov.insert_timesteps(nt / 2)
scov.set_parameter_values('time', value=np.arange(nt))
scov.set_parameter_values('boolean',
value=[True, True, True],
tdoa=[[2, 4, 14]])
scov.set_parameter_values(
'const_float',
value=-71.11) # Set a constant with correct data type
scov.set_parameter_values(
'const_int', value=45.32
) # Set a constant with incorrect data type (fixed under the hood)
scov.set_parameter_values(
'const_str',
value='constant string value') # Set with a string
scov.set_parameter_values('const_rng_flt',
value=(12.8,
55.2)) # Set with a tuple
scov.set_parameter_values('const_rng_int',
value=[-10, 10]) # Set with a list
scov.set_parameter_values('quantity',
value=np.random.random_sample(nt) *
(26 - 23) + 23)
arrval = []
recval = []
catval = []
fstrval = []
catkeys = EXEMPLAR_CATEGORIES.keys()
letts = 'abcdefghijklmnopqrstuvwxyz'
while len(letts) < nt:
letts += 'abcdefghijklmnopqrstuvwxyz'
for x in xrange(nt):
arrval.append(
np.random.bytes(np.random.randint(1, 20))
) # One value (which is a byte string) for each member of the domain
d = {letts[x]: letts[x:]}
recval.append(
d
) # One value (which is a dict) for each member of the domain
catval.append(random.choice(catkeys))
fstrval.append(''.join([
random.choice(letts) for x in xrange(8)
])) # A random string of length 8
scov.set_parameter_values('array', value=arrval)
scov.set_parameter_values('record', value=recval)
scov.set_parameter_values('category', value=catval)
scov.set_parameter_values('fixed_str', value=fstrval)
if in_memory and save_coverage:
SimplexCoverage.pickle_save(
scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestPtypesCovInt'
def get_cov(cls,
only_time=False,
save_coverage=False,
in_memory=False,
inline_data_writes=True,
brick_size=None,
make_empty=False,
nt=None,
auto_flush_values=True):
# Instantiate a ParameterDictionary
pname_filter = ['time', 'lat', 'lon', 'temp', 'conductivity']
if only_time:
pname_filter = ['time']
pdict = get_parameter_dict(parameter_list=pname_filter)
# Construct temporal and spatial Coordinate Reference System objects
tcrs = CRS([AxisTypeEnum.TIME])
scrs = CRS([AxisTypeEnum.LON, AxisTypeEnum.LAT])
# Construct temporal and spatial Domain objects
tdom = GridDomain(GridShape('temporal', [0]), tcrs,
MutabilityEnum.EXTENSIBLE) # 1d (timeline)
sdom = GridDomain(GridShape('spatial',
[0]), scrs, MutabilityEnum.IMMUTABLE
) # 0d spatial topology (station/trajectory)
if brick_size is not None:
bricking_scheme = {'brick_size': brick_size, 'chunk_size': True}
else:
bricking_scheme = None
# Instantiate the SimplexCoverage providing the ParameterDictionary, spatial Domain and temporal Domain
scov = SimplexCoverage(cls.working_dir,
create_guid(),
'sample coverage_model',
parameter_dictionary=pdict,
temporal_domain=tdom,
spatial_domain=sdom,
inline_data_writes=inline_data_writes,
in_memory_storage=in_memory,
bricking_scheme=bricking_scheme,
auto_flush_values=auto_flush_values)
# Insert some timesteps (automatically expands other arrays)
if (nt is None) or (nt == 0) or (make_empty is True):
return scov, 'TestSampleCovInt'
else:
scov.insert_timesteps(nt)
# Add data for each parameter
scov.set_parameter_values('time', value=np.arange(nt))
if not only_time:
scov.set_parameter_values('lat', value=45)
scov.set_parameter_values('lon', value=-71)
# make a random sample of 10 values between 23 and 26
# Ref: http://docs.scipy.org/doc/numpy/reference/generated/numpy.random.random_sample.html#numpy.random.random_sample
# --> To sample multiply the output of random_sample by (b-a) and add a
tvals = utils.get_random_sample(nt, 23, 26)
scov.set_parameter_values('temp', value=tvals)
scov.set_parameter_values('conductivity',
value=utils.get_random_sample(
nt, 90, 110))
if in_memory and save_coverage:
SimplexCoverage.pickle_save(
scov, os.path.join(cls.working_dir, 'sample.cov'))
return scov, 'TestSampleCovInt'