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[bot] Updated client based on openapi-14f1f34/clientgen (#676)
Co-authored-by: API Engineering <api-engineering@digitalocean.com>
1 parent e3db1bc commit 543324b

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‎DO_OPENAPI_COMMIT_SHA.txt‎

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‎src/pydo/aio/operations/_operations.py‎

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@@ -254351,6 +254351,16 @@ async def list_model_evaluation_runs(
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"judge_model_uuid": "str", # Optional. Judge model used to
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score responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset
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rows whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional.
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Candidate-success rows the judge has finished (scored or skipped).
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Caps at the number of candidate successes, which may be below
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total_rows.
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"total_rows": 0 # Optional. Total dataset rows for
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the run, sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" #
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Optional. Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED".
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Model Evaluation Run Statuses. Known values are:
@@ -254929,6 +254939,15 @@ async def get_model_evaluation_run(
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}
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],
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"result_summary": {
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"end_time": "2020-02-20 00:00:00", # Optional. Aggregated
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result summary for a completed model evaluation run.
@@ -255402,6 +255421,15 @@ async def cancel_model_evaluation_run(
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",
@@ -255482,6 +255510,15 @@ async def cancel_model_evaluation_run(
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",
@@ -255565,6 +255602,15 @@ async def cancel_model_evaluation_run(
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",

‎src/pydo/operations/_operations.py‎

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@@ -269632,6 +269632,16 @@ def list_model_evaluation_runs(
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"judge_model_uuid": "str", # Optional. Judge model used to
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score responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset
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rows whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional.
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Candidate-success rows the judge has finished (scored or skipped).
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Caps at the number of candidate successes, which may be below
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total_rows.
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"total_rows": 0 # Optional. Total dataset rows for
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the run, sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" #
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Optional. Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED".
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Model Evaluation Run Statuses. Known values are:
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}
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],
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"result_summary": {
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"end_time": "2020-02-20 00:00:00", # Optional. Aggregated
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result summary for a completed model evaluation run.
@@ -270681,6 +270700,15 @@ def cancel_model_evaluation_run(
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",
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"judge_model_uuid": "str", # Optional. Judge model used to score
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responses.
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"name": "str", # Optional. Name of the evaluation run.
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"progress": {
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"candidate_rows_evaluated": 0, # Optional. Dataset rows
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whose candidate model call has completed (success or failure).
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"judge_rows_evaluated": 0, # Optional. Candidate-success
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rows the judge has finished (scored or skipped). Caps at the number of
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candidate successes, which may be below total_rows.
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"total_rows": 0 # Optional. Total dataset rows for the run,
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sourced from the evaluation dataset.
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},
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"status": "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED" # Optional.
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Default value is "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED". Model Evaluation
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Run Statuses. Known values are: "MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",

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