| Name |
Type |
Description |
Notes |
| id |
int |
|
|
| start |
str |
|
|
| end |
str |
|
|
| status |
str |
|
|
| justification |
str |
|
|
| decision_summary |
str |
|
|
| date_requested |
str |
|
|
| date_reviewed |
str |
|
|
| compute_requested |
int |
|
|
| compute_allocated |
int |
|
|
| storage_requested |
int |
|
|
| storage_allocated |
int |
|
|
| memory_requested |
int |
|
|
| memory_allocated |
int |
|
|
| resource_id |
int |
|
|
| resource |
str |
|
|
| project_id |
int |
|
|
| project |
str |
|
|
| requestor_id |
int |
|
|
| requestor |
str |
|
|
| reviewer_id |
int |
|
|
| reviewer |
object |
|
|
| compute_used |
float |
|
|
from upstream_api_client.models.py_tas_allocation import PyTASAllocation
# TODO update the JSON string below
json = "{}"
# create an instance of PyTASAllocation from a JSON string
py_tas_allocation_instance = PyTASAllocation.from_json(json)
# print the JSON string representation of the object
print(PyTASAllocation.to_json())
# convert the object into a dict
py_tas_allocation_dict = py_tas_allocation_instance.to_dict()
# create an instance of PyTASAllocation from a dict
py_tas_allocation_from_dict = PyTASAllocation.from_dict(py_tas_allocation_dict)
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