dummy / csv

Yaml arguments

The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:

Optional arguments

file: (optional): dummy_meteo_%Y%m%d%H00.txt

File format for the fluxes

accepted type: <class ‘str’>

seed: (optional): False

Use random generation of meteo parameters

accepted type: <class ‘bool’>

seed_id: (optional): 0

ID for the numpy seed to be used

accepted type: <class ‘int’>

file_freq: (optional): 24H

Frequency at which files are split

accepted type: <class ‘str’>

resolution: (optional): 1H

Temporal resolution of the meteorology

accepted type: <class ‘str’>

Requirements

The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version

domain

Domain

False

False

dummy

std

Yaml template

Please find below a template for a Yaml configuration:

 1datastream:
 2  plugin:
 3    name: dummy
 4    version: csv
 5    type: datastream
 6
 7
 8  # Optional arguments
 9  file: XXXXX
10  seed: XXXXX
11  seed_id: XXXXX
12  file_freq: XXXXX
13  resolution: XXXXX