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_sources/python_client/docs/ImageBufferStatus.md.txt
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# ImageBufferStatus
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**min_image_number** | **int** | Smallest image number available in the buffer |
**max_image_number** | **int** | Largest image number available in the buffer |
**image_numbers** | **List[int]** | Image numbers currently present in the buffer. |
**total_slots** | **int** | Number of slots in the image buffer. This number, compared to number of images in data collection and frame rate will determine \"retention\" rate of the image buffer. |
**available_slots** | **int** | Slots available for the data collection |
**in_preparation_slots** | **int** | Number of slots in the image buffer that are currently in preparation for sending. |
**in_sending_slots** | **int** | Number of slots in the image buffer that are currently sending/writing data. |
**current_counter** | **int** | Counter of changes in the image buffer - either new start message or new image added. For optimization one can only load new images/datasets from the HTTP if this value changes. Counter is optional as it was not implemented in older versions to avoid breaking change | [optional]
## Example
```python
from jfjoch_client.models.image_buffer_status import ImageBufferStatus
# TODO update the JSON string below
json = "{}"
# create an instance of ImageBufferStatus from a JSON string
image_buffer_status_instance = ImageBufferStatus.from_json(json)
# print the JSON string representation of the object
print(ImageBufferStatus.to_json())
# convert the object into a dict
image_buffer_status_dict = image_buffer_status_instance.to_dict()
# create an instance of ImageBufferStatus from a dict
image_buffer_status_from_dict = ImageBufferStatus.from_dict(image_buffer_status_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)