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SagarikaKengunteSagarikaKengunte
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Fix batch SDK sample script errors (Azure#1910)
1 parent ae20016 commit 50eee83

7 files changed

+76
-507
lines changed

‎sdk/python/dev-requirements.txt

+3
Original file line numberDiff line numberDiff line change
@@ -5,3 +5,6 @@ ipykernel==5.5.5
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papermill==2.3.3
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pandas
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matplotlib
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tensorflow
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tensorflow-hub
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transformers

‎sdk/python/endpoints/batch/custom-output-batch.ipynb

+16-9
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@@ -72,9 +72,9 @@
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},
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"outputs": [],
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"source": [
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"subscription_id = \"<subscription>\"\n",
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"resource_group = \"<resource-group>\"\n",
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"workspace = \"<workspace>\""
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"subscription_id = \"<SUBSCRIPTION_ID>\"\n",
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"resource_group = \"<RESOURCE_GROUP>\"\n",
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"workspace = \"<AML_WORKSPACE_NAME>\""
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]
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},
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{
@@ -228,8 +228,15 @@
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},
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"outputs": [],
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"source": [
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"import random\n",
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"import string\n",
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"\n",
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"# Creating a unique endpoint name by including a random suffix\n",
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"allowed_chars = string.ascii_lowercase + string.digits\n",
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"endpoint_suffix = ''.join(random.choice(allowed_chars) for x in range(5))\n",
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"\n",
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"endpoint = BatchEndpoint(\n",
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" name=\"heart-classifier-batch\",\n",
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" name=\"heart-classifier-\" + endpoint_suffix,\n",
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" description=\"A heart condition classifier for batch inference\",\n",
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")"
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]
@@ -587,7 +594,7 @@
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"outputs": [],
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"source": [
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"heart_dataset_unlabeled = ml_client.data.get(\n",
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" name=\"heart-dataset-unlabeled\", label=\"latest\"\n",
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" name=dataset_name, label=\"latest\"\n",
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")"
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]
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},
@@ -763,9 +770,9 @@
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"name": "amlv2"
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},
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"kernelspec": {
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"display_name": "Python 3.10 - SDK V2",
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"display_name": "Python 3.11.0 64-bit",
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"language": "python",
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"name": "python310-sdkv2"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
@@ -777,14 +784,14 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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"version": "3.11.0"
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},
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"nteract": {
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"version": "[email protected]"
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},
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"vscode": {
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"interpreter": {
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"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
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"hash": "97244a77a34cba5e2b1e39283dc2fb6fff847d184db3eb48522848cc6c29e077"
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}
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}
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},

‎sdk/python/endpoints/batch/imagenet-classifier-batch.ipynb

+13-10
Original file line numberDiff line numberDiff line change
@@ -76,11 +76,7 @@
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"# enter details of your AML workspace\n",
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"subscription_id = \"<SUBSCRIPTION_ID>\"\n",
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"resource_group = \"<RESOURCE_GROUP>\"\n",
79-
"workspace = \"<AML_WORKSPACE_NAME>\"\n",
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"\n",
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"subscription_id = \"18522758-626e-4d88-92ac-dc9c7a5c26d4\"\n",
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"resource_group = \"Analytics.Aml.Experiments.Workspaces\"\n",
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"workspace = \"aa-ml-aml-workspace\""
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"workspace = \"<AML_WORKSPACE_NAME>\""
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]
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},
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{
@@ -449,7 +445,14 @@
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},
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"outputs": [],
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"source": [
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"endpoint_name = \"imagenet-classifier-batch\"\n",
448+
"import random\n",
449+
"import string\n",
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"\n",
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"# Creating a unique endpoint name by including a random suffix\n",
452+
"allowed_chars = string.ascii_lowercase + string.digits\n",
453+
"endpoint_suffix = ''.join(random.choice(allowed_chars) for x in range(5))\n",
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"endpoint_name = \"imagenet-classifier-\" + endpoint_suffix\n",
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"\n",
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"endpoint = BatchEndpoint(\n",
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" name=endpoint_name,\n",
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" description=\"An batch service to perform imagenet image classification\",\n",
@@ -1624,9 +1627,9 @@
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"name": "amlv2"
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},
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"kernelspec": {
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"display_name": "Python 3.10 - SDK V2",
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"display_name": "Python 3.11.0 64-bit",
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"language": "python",
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"name": "python310-sdkv2"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
@@ -1638,14 +1641,14 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.9"
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"version": "3.11.0"
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},
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"nteract": {
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"version": "[email protected]"
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},
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"vscode": {
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"interpreter": {
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"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
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"hash": "97244a77a34cba5e2b1e39283dc2fb6fff847d184db3eb48522848cc6c29e077"
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}
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}
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},

‎sdk/python/endpoints/batch/mlflow-for-batch-tabular.ipynb

+15-8
Original file line numberDiff line numberDiff line change
@@ -68,9 +68,9 @@
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},
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"outputs": [],
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"source": [
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"subscription_id = \"<subscription>\"\n",
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"resource_group = \"<resource-group>\"\n",
73-
"workspace = \"<workspace>\""
71+
"subscription_id = \"<SUBSCRIPTION_ID>\"\n",
72+
"resource_group = \"<RESOURCE_GROUP>\"\n",
73+
"workspace = \"<AML_WORKSPACE_NAME>\""
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]
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},
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{
@@ -224,8 +224,15 @@
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},
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"outputs": [],
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"source": [
227+
"import random\n",
228+
"import string\n",
229+
"\n",
230+
"# Creating a unique endpoint name by including a random suffix\n",
231+
"allowed_chars = string.ascii_lowercase + string.digits\n",
232+
"endpoint_suffix = ''.join(random.choice(allowed_chars) for x in range(5))\n",
233+
"\n",
227234
"endpoint = BatchEndpoint(\n",
228-
" name=\"heart-classifier-batch\",\n",
235+
" name=\"heart-classifier-\" + endpoint_suffix,\n",
229236
" description=\"A heart condition classifier for batch inference\",\n",
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")"
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]
@@ -842,9 +849,9 @@
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"name": "amlv2"
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},
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"kernelspec": {
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"display_name": "Python 3.10 - SDK V2",
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"display_name": "Python 3.11.0 64-bit",
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"language": "python",
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"name": "python310-sdkv2"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
@@ -856,14 +863,14 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.9"
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"version": "3.11.0"
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},
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"nteract": {
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"version": "[email protected]"
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},
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"vscode": {
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"interpreter": {
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"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
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"hash": "97244a77a34cba5e2b1e39283dc2fb6fff847d184db3eb48522848cc6c29e077"
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}
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}
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},

‎sdk/python/endpoints/batch/mnist-batch.ipynb

+14-9
Original file line numberDiff line numberDiff line change
@@ -126,10 +126,13 @@
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},
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"outputs": [],
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"source": [
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"# Creating a unique endpoint name with current datetime to avoid conflicts\n",
130-
"import datetime\n",
129+
"import random\n",
130+
"import string\n",
131131
"\n",
132-
"batch_endpoint_name = \"mnist-batch\"\n",
132+
"# Creating a unique endpoint name by including a random suffix\n",
133+
"allowed_chars = string.ascii_lowercase + string.digits\n",
134+
"endpoint_suffix = ''.join(random.choice(allowed_chars) for x in range(5))\n",
135+
"batch_endpoint_name = \"mnist-batch-\" + endpoint_suffix\n",
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"\n",
134137
"# create a batch endpoint\n",
135138
"endpoint = BatchEndpoint(\n",
@@ -313,16 +316,13 @@
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"description": {
314317
"description": "Create and test batch endpoint and deployement"
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},
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"interpreter": {
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"hash": "6407d64e10ce2bbca0b4c0db13afcc4d8f856d62941714d7dab3595b63436e00"
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},
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"kernel_info": {
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"name": "python3-azureml"
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},
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"kernelspec": {
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"display_name": "Python 3.10 - SDK V2",
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"display_name": "Python 3.11.0 64-bit",
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"language": "python",
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"name": "python310-sdkv2"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
@@ -334,10 +334,15 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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"version": "3.11.0"
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},
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"nteract": {
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"version": "[email protected]"
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},
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"vscode": {
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"interpreter": {
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"hash": "97244a77a34cba5e2b1e39283dc2fb6fff847d184db3eb48522848cc6c29e077"
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}
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}
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},
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"nbformat": 4,

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