1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) Python Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import pytest
from devtools_testutils import recorded_by_proxy
from testpreparer import AIProjectClientTestBase, AIProjectPreparer
@pytest.mark.skip("you may need to update the auto-generated test case before run it")
class TestAIProjectEvaluationResultsOperations(AIProjectClientTestBase):
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_list_versions(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.list_versions(
name="str",
)
result = [r for r in response]
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_list_latest(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.list_latest()
result = [r for r in response]
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_get_version(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.get_version(
name="str",
version="str",
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_delete_version(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.delete_version(
name="str",
version="str",
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_create(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.create(
name="str",
body={
"name": "str",
"version": "str",
"BlobUri": "str",
"DatasetFamily": "str",
"DatasetName": "str",
"Metrics": {"str": 0.0},
"ModelAssetId": "str",
"ModelName": "str",
"ModelVersion": "str",
"ResultType": "str",
"description": "str",
"id": "str",
"stage": "str",
"tags": {"str": "str"},
},
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_create_version(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.create_version(
name="str",
version="str",
body={
"name": "str",
"version": "str",
"BlobUri": "str",
"DatasetFamily": "str",
"DatasetName": "str",
"Metrics": {"str": 0.0},
"ModelAssetId": "str",
"ModelName": "str",
"ModelVersion": "str",
"ResultType": "str",
"description": "str",
"id": "str",
"stage": "str",
"tags": {"str": "str"},
},
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy
def test_evaluation_results_start_pending_upload(self, aiproject_endpoint):
client = self.create_client(endpoint=aiproject_endpoint)
response = client.evaluation_results.start_pending_upload(
name="str",
version="str",
body={"pendingUploadType": "str", "connectionName": "str", "pendingUploadId": "str"},
)
# please add some check logic here by yourself
# ...
|
