Datasets:
thisisanshgupta
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Pycode

Dataset card Data Studio Files Community
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""""""
Find a data formatter given an input and output format
input_format - needed input format. see utils.input.dataformats
output_format - needed output format. see utils.input.dataformats
""""""
#Only take the formatters in the registry
selected_registry = [re.cls for re in registry if re.category==RegistryCategories.formatters]
needed_formatters = []
for formatter in selected_registry:
#Initialize the formatter (needed so it can discover its formats)
formatter_inst = formatter()
if input_format in formatter_inst.input_formats and output_format in formatter_inst.output_formats:
needed_formatters.append(formatter)
if len(needed_formatters)>0:
return needed_formatters[0]
return None"
375,"def find_needed_input(input_format):
""""""
Find a needed input class
input_format - needed input format, see utils.input.dataformats
""""""
needed_inputs = [re.cls for re in registry if re.category==RegistryCategories.inputs and re.cls.input_format == input_format]
if len(needed_inputs)>0:
return needed_inputs[0]
return None"
376,"def exists_in_registry(category, namespace, name):
""""""
See if a given category, namespace, name combination exists in the registry
category - See registrycategories. Type of module
namespace - Namespace of the module, defined in settings
name - the lowercase name of the module
""""""
selected_registry = [re for re in registry if re.category==category and re.namespace==namespace and re.name == name]
if len(selected_registry)>0:
return True
return False"
377,"def register(cls):
""""""
Register a given model in the registry
""""""
registry_entry = RegistryEntry(category = cls.category, namespace = cls.namespace, name = cls.name, cls=cls)
if registry_entry not in registry and not exists_in_registry(cls.category, cls.namespace, cls.name):
registry.append(registry_entry)
else:
log.warn(""Class {0} already in registry"".format(cls))"
378,"def _set_fields(self):
""""""
Initialize the fields for data caching.
""""""
self.fields = []
self.required_input = []
for member_name, member_object in inspect.getmembers(self.__class__):
if inspect.isdatadescriptor(member_object) and not member_name.startswith(""__""):
self.fields.append(member_name)
if member_object.required_input:
self.required_input.append(member_name)"
379,"def subscriber(address,topics,callback,message_type):
""""""
Creates a subscriber binding to the given address and
subscribe the given topics.
The callback is invoked for every message received.
Args:
- address: the address to bind the PUB socket to.
- topics: the topics to subscribe
- callback: the callback to invoke for every message. Must accept 2 variables - topic and message
- message_type: the type of message to receive
""""""
return Subscriber(address,topics,callback,message_type)"
380,"def start(self):
""""""
Start a thread that consumes the messages and invokes the callback
""""""
t=threading.Thread(target=self._consume)
t.start()"
381,"def _get_forecast(api_result: dict) -> List[SmhiForecast]:
""""""Converts results fråm API to SmhiForeCast list""""""
forecasts = []
# Need the ordered dict to get
# the days in order in next stage
forecasts_ordered = OrderedDict()
forecasts_ordered = _get_all_forecast_from_api(api_result)
# Used to calc the daycount
day_nr = 1
for day in forecasts_ordered:
forecasts_day = forecasts_ordered[day]
if day_nr == 1:
# Add the most recent forecast
forecasts.append(copy.deepcopy(forecasts_day[0]))
total_precipitation = float(0.0)
forecast_temp_max = -100.0
forecast_temp_min = 100.0
forecast = None
for forcast_day in forecasts_day: