From 4e9bbb3269e8434441d6a2061624278401097a07 Mon Sep 17 00:00:00 2001
From: GitHub Actions <github-actions[bot]@users.noreply.github.com>
Date: Mon, 2 Oct 2023 22:13:53 +0000
Subject: [PATCH 1/5] Update the pipfile.lock via the weekly workflow action

---
 .../datascience/ubi8-python-3.8/Pipfile.lock  |  569 +++++----
 .../datascience/ubi9-python-3.9/Pipfile.lock  |  569 +++++----
 jupyter/minimal/ubi8-python-3.8/Pipfile.lock  |  375 +++---
 jupyter/minimal/ubi9-python-3.9/Pipfile.lock  |  375 +++---
 jupyter/pytorch/ubi8-python-3.8/Pipfile.lock  |  680 +++++-----
 jupyter/pytorch/ubi9-python-3.9/Pipfile.lock  |  680 +++++-----
 .../tensorflow/ubi8-python-3.8/Pipfile.lock   |  680 +++++-----
 .../tensorflow/ubi9-python-3.9/Pipfile.lock   |  680 +++++-----
 jupyter/trustyai/ubi8-python-3.8/Pipfile.lock | 1112 +++++++++--------
 jupyter/trustyai/ubi9-python-3.9/Pipfile.lock |  593 +++++----
 .../datascience/ubi8-python-3.8/Pipfile.lock  |   92 +-
 .../datascience/ubi9-python-3.9/Pipfile.lock  |   92 +-
 runtimes/pytorch/ubi8-python-3.8/Pipfile.lock |  380 +++---
 runtimes/pytorch/ubi9-python-3.9/Pipfile.lock |  380 +++---
 .../tensorflow/ubi8-python-3.8/Pipfile.lock   |  380 +++---
 .../tensorflow/ubi9-python-3.9/Pipfile.lock   |  380 +++---
 16 files changed, 4197 insertions(+), 3820 deletions(-)

diff --git a/jupyter/datascience/ubi8-python-3.8/Pipfile.lock b/jupyter/datascience/ubi8-python-3.8/Pipfile.lock
index b0a0fc8a9..86ff5fbe6 100644
--- a/jupyter/datascience/ubi8-python-3.8/Pipfile.lock
+++ b/jupyter/datascience/ubi8-python-3.8/Pipfile.lock
@@ -177,19 +177,19 @@
         },
         "arrow": {
             "hashes": [
-                "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1",
-                "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"
+                "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80",
+                "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.2.3"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.3.0"
         },
         "astroid": {
             "hashes": [
-                "sha256:958f280532e36ca84a13023f15cb1556fb6792d193acb87e1f3ca536b6fa6bd2",
-                "sha256:c522f2832a900e27a7d284b9b6ef670d2495f760ede3c8c0b004a5641d3c5987"
+                "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c",
+                "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"
             ],
             "markers": "python_full_version >= '3.7.2'",
-            "version": "==2.15.7"
+            "version": "==2.15.8"
         },
         "asttokens": {
             "hashes": [
@@ -324,153 +324,157 @@
         },
         "cffi": {
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@@ -592,11 +596,11 @@
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@@ -727,17 +731,17 @@
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@@ -754,43 +758,51 @@
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+                "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f",
+                "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9",
+                "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d",
+                "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737",
+                "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5",
+                "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.10.13"
         },
         "pydocstyle": {
             "hashes": [
@@ -2212,11 +2224,11 @@
         },
         "pygithub": {
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-                "sha256:3d87a822e6c868142f0c2c4bf16cce4696b5a7a4d142a7bd160e1bdf75bc54a9",
-                "sha256:c44e3a121c15bf9d3a5cc98d94c9a047a5132a9b01d22264627f58ade9ddc217"
+                "sha256:4b528d5d6f35e991ea5fd3f942f58748f24938805cb7fcf24486546637917337",
+                "sha256:ecf12c2809c44147bce63b047b3d2e9dac8a41b63e90fcb263c703f64936b97c"
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             "markers": "python_version >= '3.7'",
-            "version": "==1.59.1"
+            "version": "==2.1.1"
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         "pygments": {
             "hashes": [
@@ -2239,10 +2251,10 @@
         },
         "pylint": {
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-                "sha256:18a1412e873caf8ffb56b760ce1b5643675af23e6173a247b502406b24c716af",
-                "sha256:be928cce5c76bf9acdc65ad01447a1e0b1a7bccffc609fb7fc40f2513045bd05"
+                "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87",
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-            "version": "==2.17.6"
+            "version": "==2.17.7"
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         "pynacl": {
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@@ -2507,10 +2519,10 @@
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         "rope": {
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-                "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa",
-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
+                "sha256:14bfcc7dfea69fa32c53db0667e86e321ef059de555c7f8101a0cb91c8d85a55",
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-            "version": "==1.9.0"
+            "version": "==1.10.0"
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         "rpds-py": {
             "hashes": [
@@ -2758,10 +2770,10 @@
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         "stack-data": {
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-                "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815",
-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
+                "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9",
+                "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"
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-            "version": "==0.6.2"
+            "version": "==0.6.3"
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@@ -2867,11 +2879,11 @@
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         "traitlets": {
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-                "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54",
-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
+                "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==5.10.0"
+            "version": "==5.10.1"
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         "typer": {
             "hashes": [
@@ -2881,6 +2893,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
+                "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"
+            ],
+            "version": "==2.8.19.14"
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                 "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0",
@@ -2973,11 +2992,11 @@
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         "urllib3": {
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-                "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21",
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             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "version": "==1.26.17"
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         "watchdog": {
             "hashes": [
@@ -3014,10 +3033,10 @@
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         "wcwidth": {
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-                "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e",
-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
+                "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704",
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-            "version": "==0.2.6"
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diff --git a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock b/jupyter/datascience/ubi9-python-3.9/Pipfile.lock
index e0f937fad..8cf8ab5a1 100644
--- a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock
+++ b/jupyter/datascience/ubi9-python-3.9/Pipfile.lock
@@ -177,19 +177,19 @@
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         "arrow": {
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-                "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"
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-            "markers": "python_version >= '3.6'",
-            "version": "==1.2.3"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.3.0"
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         "astroid": {
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-            "version": "==2.15.7"
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@@ -324,153 +324,157 @@
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@@ -592,11 +596,11 @@
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@@ -900,11 +912,11 @@
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@@ -1053,11 +1065,11 @@
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@@ -1091,11 +1103,11 @@
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@@ -1170,11 +1182,11 @@
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@@ -1638,11 +1650,11 @@
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@@ -1858,11 +1870,11 @@
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@@ -2006,11 +2018,11 @@
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@@ -2140,45 +2152,45 @@
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+                "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653",
+                "sha256:c636925f38b8db208e09d344c7aa4f29a86bb9947495dd6b6d376ad10334fb78",
+                "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261",
+                "sha256:d3a3c792a58e1622667a2837512099eac62490cdfd63bd407993aaf200a4cf1f",
+                "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9",
+                "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d",
+                "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737",
+                "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5",
+                "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.10.13"
         },
         "pydocstyle": {
             "hashes": [
@@ -2196,11 +2208,11 @@
         },
         "pygithub": {
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-                "sha256:c44e3a121c15bf9d3a5cc98d94c9a047a5132a9b01d22264627f58ade9ddc217"
+                "sha256:4b528d5d6f35e991ea5fd3f942f58748f24938805cb7fcf24486546637917337",
+                "sha256:ecf12c2809c44147bce63b047b3d2e9dac8a41b63e90fcb263c703f64936b97c"
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             "markers": "python_version >= '3.7'",
-            "version": "==1.59.1"
+            "version": "==2.1.1"
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         "pygments": {
             "hashes": [
@@ -2223,10 +2235,10 @@
         },
         "pylint": {
             "hashes": [
-                "sha256:18a1412e873caf8ffb56b760ce1b5643675af23e6173a247b502406b24c716af",
-                "sha256:be928cce5c76bf9acdc65ad01447a1e0b1a7bccffc609fb7fc40f2513045bd05"
+                "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87",
+                "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"
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-            "version": "==2.17.6"
+            "version": "==2.17.7"
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         "pynacl": {
             "hashes": [
@@ -2491,10 +2503,10 @@
         },
         "rope": {
             "hashes": [
-                "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa",
-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
+                "sha256:14bfcc7dfea69fa32c53db0667e86e321ef059de555c7f8101a0cb91c8d85a55",
+                "sha256:4e9f06d7296708a8a6518590c49352c99394053d91fde5b1d74c9ffc85c76d5b"
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-            "version": "==1.9.0"
+            "version": "==1.10.0"
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         "rpds-py": {
             "hashes": [
@@ -2742,10 +2754,10 @@
         },
         "stack-data": {
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-                "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815",
-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
+                "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9",
+                "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"
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-            "version": "==0.6.2"
+            "version": "==0.6.3"
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@@ -2851,11 +2863,11 @@
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         "traitlets": {
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-                "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54",
-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
+                "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==5.10.0"
+            "version": "==5.10.1"
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         "typer": {
             "hashes": [
@@ -2865,6 +2877,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
+                "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"
+            ],
+            "version": "==2.8.19.14"
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                 "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0",
@@ -2957,11 +2976,11 @@
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         "urllib3": {
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-                "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21",
+                "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"
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             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "version": "==1.26.17"
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         "watchdog": {
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@@ -2998,10 +3017,10 @@
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         "wcwidth": {
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-                "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e",
-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
+                "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704",
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diff --git a/jupyter/minimal/ubi8-python-3.8/Pipfile.lock b/jupyter/minimal/ubi8-python-3.8/Pipfile.lock
index 880ddb3ed..c0162527e 100644
--- a/jupyter/minimal/ubi8-python-3.8/Pipfile.lock
+++ b/jupyter/minimal/ubi8-python-3.8/Pipfile.lock
@@ -162,11 +162,11 @@
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         "arrow": {
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-            "version": "==1.2.3"
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@@ -232,153 +232,157 @@
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             "markers": "python_full_version >= '3.7.0'",
-            "version": "==3.2.0"
+            "version": "==3.3.0"
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         "colorama": {
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@@ -454,17 +458,17 @@
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         "executing": {
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-                "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc",
-                "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"
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-            "version": "==1.2.0"
+            "version": "==2.0.0"
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-            "version": "==2.18.0"
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@@ -590,11 +594,11 @@
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         "ipython": {
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@@ -612,11 +616,11 @@
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         "jedi": {
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-            "version": "==0.19.0"
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@@ -669,11 +673,11 @@
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@@ -828,11 +832,11 @@
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-            "version": "==3.0.1"
+            "version": "==3.0.2"
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@@ -989,11 +993,11 @@
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-            "version": "==23.1"
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@@ -1035,11 +1039,11 @@
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-            "version": "==3.10.0"
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@@ -1452,10 +1456,10 @@
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-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
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-            "version": "==0.6.2"
+            "version": "==0.6.3"
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@@ -1500,11 +1504,18 @@
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-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
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             "markers": "python_version >= '3.8'",
-            "version": "==5.10.0"
+            "version": "==5.10.1"
+        },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
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@@ -1523,18 +1534,18 @@
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         "urllib3": {
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-                "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"
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-            "version": "==2.0.5"
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diff --git a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock b/jupyter/minimal/ubi9-python-3.9/Pipfile.lock
index 7438c6228..8fd501ead 100644
--- a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock
+++ b/jupyter/minimal/ubi9-python-3.9/Pipfile.lock
@@ -162,11 +162,11 @@
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         "arrow": {
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-            "version": "==1.2.3"
+            "markers": "python_version >= '3.8'",
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@@ -232,153 +232,157 @@
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@@ -454,17 +458,17 @@
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@@ -582,11 +586,11 @@
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@@ -604,11 +608,11 @@
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@@ -820,11 +824,11 @@
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@@ -981,11 +985,11 @@
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@@ -1019,11 +1023,11 @@
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@@ -1428,10 +1432,10 @@
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@@ -1476,11 +1480,18 @@
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@@ -1499,18 +1510,18 @@
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diff --git a/jupyter/pytorch/ubi8-python-3.8/Pipfile.lock b/jupyter/pytorch/ubi8-python-3.8/Pipfile.lock
index bc9103529..bdd142a3f 100644
--- a/jupyter/pytorch/ubi8-python-3.8/Pipfile.lock
+++ b/jupyter/pytorch/ubi8-python-3.8/Pipfile.lock
@@ -177,19 +177,19 @@
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@@ -592,11 +596,11 @@
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@@ -727,17 +731,17 @@
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@@ -754,43 +758,51 @@
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@@ -2607,10 +2628,10 @@
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@@ -3058,6 +3079,13 @@
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@@ -3150,11 +3178,11 @@
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@@ -3191,10 +3219,10 @@
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@@ -3220,11 +3248,11 @@
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diff --git a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock
index 0a8a5f2d7..4bb235f40 100644
--- a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock
+++ b/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock
@@ -177,19 +177,19 @@
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@@ -592,11 +596,11 @@
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@@ -727,17 +731,17 @@
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@@ -754,43 +758,51 @@
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@@ -1150,11 +1171,11 @@
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@@ -1229,11 +1250,11 @@
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+            "version": "==1.10.13"
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@@ -2296,11 +2317,11 @@
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         "pygithub": {
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-                "sha256:c44e3a121c15bf9d3a5cc98d94c9a047a5132a9b01d22264627f58ade9ddc217"
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-            "version": "==1.59.1"
+            "version": "==2.1.1"
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         "pygments": {
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@@ -2323,10 +2344,10 @@
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         "pylint": {
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-                "sha256:be928cce5c76bf9acdc65ad01447a1e0b1a7bccffc609fb7fc40f2513045bd05"
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-            "version": "==2.17.6"
+            "version": "==2.17.7"
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         "pynacl": {
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@@ -2591,10 +2612,10 @@
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         "rope": {
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-                "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa",
-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
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-            "version": "==1.9.0"
+            "version": "==1.10.0"
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             "hashes": [
@@ -2842,10 +2863,10 @@
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-                "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815",
-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
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-            "version": "==0.6.2"
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@@ -3028,11 +3049,11 @@
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-                "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54",
-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
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-            "version": "==5.10.0"
+            "version": "==5.10.1"
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@@ -3042,6 +3063,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
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+            "version": "==2.8.19.14"
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                 "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0",
@@ -3134,11 +3162,11 @@
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         "urllib3": {
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-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21",
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-            "version": "==1.26.16"
+            "version": "==1.26.17"
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         "watchdog": {
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@@ -3175,10 +3203,10 @@
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         "wcwidth": {
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-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
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-            "version": "==0.2.6"
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@@ -3204,11 +3232,11 @@
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diff --git a/jupyter/tensorflow/ubi8-python-3.8/Pipfile.lock b/jupyter/tensorflow/ubi8-python-3.8/Pipfile.lock
index b276826e8..89967469d 100644
--- a/jupyter/tensorflow/ubi8-python-3.8/Pipfile.lock
+++ b/jupyter/tensorflow/ubi8-python-3.8/Pipfile.lock
@@ -177,19 +177,19 @@
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@@ -599,11 +603,11 @@
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@@ -734,17 +738,17 @@
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@@ -768,43 +772,51 @@
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@@ -1177,11 +1198,11 @@
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@@ -1215,11 +1236,11 @@
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@@ -1294,11 +1315,11 @@
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@@ -1793,11 +1814,11 @@
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@@ -2047,11 +2068,11 @@
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@@ -2203,11 +2224,11 @@
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@@ -2340,45 +2361,45 @@
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+            "version": "==1.10.13"
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@@ -2396,11 +2417,11 @@
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         "pygithub": {
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-                "sha256:c44e3a121c15bf9d3a5cc98d94c9a047a5132a9b01d22264627f58ade9ddc217"
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-            "version": "==1.59.1"
+            "version": "==2.1.1"
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@@ -2423,10 +2444,10 @@
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         "pylint": {
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-                "sha256:be928cce5c76bf9acdc65ad01447a1e0b1a7bccffc609fb7fc40f2513045bd05"
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-            "version": "==2.17.6"
+            "version": "==2.17.7"
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         "pynacl": {
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@@ -2691,10 +2712,10 @@
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         "rope": {
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-                "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa",
-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
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-            "version": "==1.9.0"
+            "version": "==1.10.0"
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@@ -2942,10 +2963,10 @@
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-                "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815",
-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
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-            "version": "==0.6.2"
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@@ -3132,11 +3153,11 @@
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-                "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54",
-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
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-            "version": "==5.10.0"
+            "version": "==5.10.1"
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@@ -3146,6 +3167,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
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@@ -3238,11 +3266,11 @@
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-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
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-            "version": "==1.26.16"
+            "version": "==1.26.17"
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@@ -3279,10 +3307,10 @@
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         "wcwidth": {
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-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
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-            "version": "==0.2.6"
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@@ -3308,11 +3336,11 @@
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diff --git a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock b/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock
index 284460d0e..71c63e6cd 100644
--- a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock
+++ b/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock
@@ -177,19 +177,19 @@
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-            "version": "==1.2.3"
+            "markers": "python_version >= '3.8'",
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@@ -331,153 +331,157 @@
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@@ -599,11 +603,11 @@
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@@ -734,17 +738,17 @@
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@@ -768,43 +772,51 @@
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@@ -1169,11 +1190,11 @@
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@@ -1207,11 +1228,11 @@
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@@ -1286,11 +1307,11 @@
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@@ -1785,11 +1806,11 @@
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@@ -2039,11 +2060,11 @@
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@@ -2187,11 +2208,11 @@
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+            "version": "==1.10.13"
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@@ -2380,11 +2401,11 @@
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         "pygithub": {
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-            "version": "==1.59.1"
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@@ -2407,10 +2428,10 @@
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-            "version": "==2.17.6"
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@@ -2675,10 +2696,10 @@
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-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
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-            "version": "==1.9.0"
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@@ -2926,10 +2947,10 @@
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-            "version": "==0.6.2"
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@@ -3116,11 +3137,11 @@
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-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
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-            "version": "==5.10.0"
+            "version": "==5.10.1"
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@@ -3130,6 +3151,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
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@@ -3222,11 +3250,11 @@
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         "urllib3": {
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-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
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-            "version": "==1.26.16"
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@@ -3263,10 +3291,10 @@
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@@ -3292,11 +3320,11 @@
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diff --git a/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock b/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock
index 0d257f85e..e2b1a91dc 100644
--- a/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock
+++ b/jupyter/trustyai/ubi8-python-3.8/Pipfile.lock
@@ -140,14 +140,6 @@
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@@ -185,19 +177,19 @@
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@@ -332,153 +324,157 @@
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@@ -895,11 +912,11 @@
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@@ -1040,11 +1057,11 @@
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@@ -2267,11 +2282,11 @@
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@@ -2294,10 +2309,10 @@
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@@ -2341,11 +2356,11 @@
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@@ -2782,11 +2797,11 @@
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+            "version": "==0.6.3"
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         "strip-hints": {
             "hashes": [
@@ -2922,11 +2937,11 @@
         },
         "traitlets": {
             "hashes": [
-                "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8",
-                "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
+                "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"
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-            "markers": "python_version >= '3.7'",
-            "version": "==5.9.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==5.10.1"
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         "trustyai": {
             "hashes": [
@@ -2945,13 +2960,20 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
+                "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"
+            ],
+            "version": "==2.8.19.14"
+        },
         "typing-extensions": {
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-                "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36",
-                "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"
+                "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0",
+                "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"
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-            "markers": "python_version >= '3.7'",
-            "version": "==4.7.1"
+            "markers": "python_version >= '3.8'",
+            "version": "==4.8.0"
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         "ujson": {
             "hashes": [
@@ -3037,11 +3059,11 @@
         },
         "urllib3": {
             "hashes": [
-                "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21",
+                "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"
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             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "version": "==1.26.17"
         },
         "watchdog": {
             "hashes": [
@@ -3078,10 +3100,10 @@
         },
         "wcwidth": {
             "hashes": [
-                "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e",
-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
+                "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704",
+                "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"
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-            "version": "==0.2.6"
+            "version": "==0.2.8"
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         "webcolors": {
             "hashes": [
@@ -3220,10 +3242,10 @@
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         "yapf": {
             "hashes": [
-                "sha256:958587eb5c8ec6c860119a9c25d02addf30a44f75aa152a4220d30e56a98037c",
-                "sha256:b8bfc1f280949153e795181768ca14ef43d7312629a06c43e7abd279323af313"
+                "sha256:4dab8a5ed7134e26d57c1647c7483afb3f136878b579062b786c9ba16b94637b",
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-            "version": "==0.40.1"
+            "version": "==0.40.2"
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         "yarl": {
             "hashes": [
@@ -3315,11 +3337,11 @@
         },
         "zipp": {
             "hashes": [
-                "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0",
-                "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"
+                "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31",
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-            "version": "==3.16.2"
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     "develop": {}
diff --git a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock b/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock
index 1e00213bd..f412cc017 100644
--- a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock
+++ b/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock
@@ -177,19 +177,19 @@
         },
         "arrow": {
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-                "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"
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-            "markers": "python_version >= '3.6'",
-            "version": "==1.2.3"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.3.0"
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         "astroid": {
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-                "sha256:c522f2832a900e27a7d284b9b6ef670d2495f760ede3c8c0b004a5641d3c5987"
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-            "version": "==2.15.7"
+            "version": "==2.15.8"
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@@ -295,6 +295,7 @@
                 "sha256:fa85b67147c8dc99b6e7c699fc086103f958f9677db934f70659e6e6a72a818c"
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+            "markers": "python_version >= '3.7'",
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@@ -323,153 +324,157 @@
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@@ -591,11 +596,11 @@
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@@ -726,17 +731,17 @@
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@@ -899,11 +912,11 @@
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@@ -1052,11 +1065,11 @@
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@@ -1090,11 +1103,11 @@
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@@ -1183,6 +1196,7 @@
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@@ -1195,11 +1209,11 @@
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@@ -1239,6 +1253,7 @@
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@@ -1255,6 +1270,7 @@
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@@ -1263,6 +1279,7 @@
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@@ -1271,6 +1288,7 @@
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@@ -1279,6 +1297,7 @@
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@@ -1287,6 +1306,7 @@
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@@ -1303,6 +1323,7 @@
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@@ -1319,6 +1340,7 @@
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@@ -1354,6 +1376,7 @@
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@@ -1627,6 +1650,7 @@
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@@ -1653,11 +1677,11 @@
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@@ -1777,6 +1801,7 @@
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@@ -1859,6 +1884,7 @@
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@@ -1871,11 +1897,11 @@
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+            "version": "==23.2"
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@@ -1908,6 +1934,7 @@
                 "sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc"
             ],
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@@ -2018,11 +2045,11 @@
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@@ -2030,6 +2057,7 @@
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@@ -2182,45 +2210,45 @@
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+                "sha256:c553f6a156deb868ba38a23cf0df886c63492e9257f60a79c0fd8e7173537653",
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+                "sha256:c958d053453a1c4b1c2062b05cd42d9d5c8eb67537b8d5a7e3c3032943ecd261",
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+                "sha256:e31647d85a2013d926ce60b84f9dd5300d44535a9941fe825dc349ae1f760df9",
+                "sha256:e70ca129d2053fb8b728ee7d1af8e553a928d7e301a311094b8a0501adc8763d",
+                "sha256:efff03cc7a4f29d9009d1c96ceb1e7a70a65cfe86e89d34e4a5f2ab1e5693737",
+                "sha256:f59ef915cac80275245824e9d771ee939133be38215555e9dc90c6cb148aaeb5",
+                "sha256:f8e81fc5fb17dae698f52bdd1c4f18b6ca674d7068242b2aff075f588301bbb0"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.10.13"
         },
         "pydocstyle": {
             "hashes": [
@@ -2238,11 +2266,11 @@
         },
         "pygithub": {
             "hashes": [
-                "sha256:3d87a822e6c868142f0c2c4bf16cce4696b5a7a4d142a7bd160e1bdf75bc54a9",
-                "sha256:c44e3a121c15bf9d3a5cc98d94c9a047a5132a9b01d22264627f58ade9ddc217"
+                "sha256:4b528d5d6f35e991ea5fd3f942f58748f24938805cb7fcf24486546637917337",
+                "sha256:ecf12c2809c44147bce63b047b3d2e9dac8a41b63e90fcb263c703f64936b97c"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==1.59.1"
+            "version": "==2.1.1"
         },
         "pygments": {
             "hashes": [
@@ -2265,10 +2293,10 @@
         },
         "pylint": {
             "hashes": [
-                "sha256:18a1412e873caf8ffb56b760ce1b5643675af23e6173a247b502406b24c716af",
-                "sha256:be928cce5c76bf9acdc65ad01447a1e0b1a7bccffc609fb7fc40f2513045bd05"
+                "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87",
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-            "version": "==2.17.6"
+            "version": "==2.17.7"
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         "pynacl": {
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@@ -2299,7 +2327,7 @@
                 "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86",
                 "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"
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-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==2.8.2"
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         "python-json-logger": {
@@ -2533,10 +2561,10 @@
         },
         "rope": {
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-                "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa",
-                "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"
+                "sha256:14bfcc7dfea69fa32c53db0667e86e321ef059de555c7f8101a0cb91c8d85a55",
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-            "version": "==1.9.0"
+            "version": "==1.10.0"
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@@ -2682,6 +2710,7 @@
                 "sha256:fe175ee1dab589d2e1033657c5b6bec92a8a3b69103e3dd361b58014729975c3"
             ],
             "index": "pypi",
+            "markers": "python_version >= '3.8'",
             "version": "==1.2.2"
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@@ -2709,6 +2738,7 @@
                 "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"
             ],
             "index": "pypi",
+            "markers": "python_version < '3.12' and python_version >= '3.8'",
             "version": "==1.10.1"
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         "send2trash": {
@@ -2746,7 +2776,7 @@
                 "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
                 "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==1.16.0"
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         "smmap": {
@@ -2782,10 +2812,10 @@
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         "stack-data": {
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-                "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815",
-                "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"
+                "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9",
+                "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"
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-            "version": "==0.6.2"
+            "version": "==0.6.3"
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         "strip-hints": {
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@@ -2891,11 +2921,11 @@
         },
         "traitlets": {
             "hashes": [
-                "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54",
-                "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"
+                "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116",
+                "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"
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             "markers": "python_version >= '3.8'",
-            "version": "==5.10.0"
+            "version": "==5.10.1"
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         "trustyai": {
             "hashes": [
@@ -2903,6 +2933,7 @@
                 "sha256:cd2adc1dfe93621d1342a62cfb7e774857d728b1033f3d7caf514d871a7894e6"
             ],
             "index": "pypi",
+            "markers": "python_version >= '3.8'",
             "version": "==0.3.0"
         },
         "typer": {
@@ -2913,6 +2944,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.9.0"
         },
+        "types-python-dateutil": {
+            "hashes": [
+                "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b",
+                "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"
+            ],
+            "version": "==2.8.19.14"
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                 "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0",
@@ -3005,11 +3043,11 @@
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         "urllib3": {
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-                "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21",
+                "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"
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             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "version": "==1.26.17"
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         "watchdog": {
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@@ -3046,10 +3084,10 @@
         },
         "wcwidth": {
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-                "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e",
-                "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"
+                "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704",
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-            "version": "==0.2.6"
+            "version": "==0.2.8"
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@@ -3086,6 +3124,7 @@
                 "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"
             ],
             "index": "pypi",
+            "markers": "python_version >= '3.7'",
             "version": "==0.38.4"
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diff --git a/runtimes/datascience/ubi8-python-3.8/Pipfile.lock b/runtimes/datascience/ubi8-python-3.8/Pipfile.lock
index 1f1aa24c7..ee1041ff2 100644
--- a/runtimes/datascience/ubi8-python-3.8/Pipfile.lock
+++ b/runtimes/datascience/ubi8-python-3.8/Pipfile.lock
@@ -76,51 +76,59 @@
         },
         "cycler": {
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-                "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"
+                "sha256:7896994252d006771357777d0251f3e34d266f4fa5f2c572247a80ab01440947",
+                "sha256:8cc3a7b4861f91b1095157f9916f748549a617046e67eb7619abed9b34d2c94a"
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-            "markers": "python_version >= '3.6'",
-            "version": "==0.11.0"
+            "markers": "python_version >= '3.8'",
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         "fonttools": {
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@@ -333,11 +341,11 @@
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diff --git a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock b/runtimes/datascience/ubi9-python-3.9/Pipfile.lock
index c7277a981..8853b50d1 100644
--- a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock
+++ b/runtimes/datascience/ubi9-python-3.9/Pipfile.lock
@@ -76,51 +76,59 @@
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@@ -333,11 +341,11 @@
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diff --git a/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock b/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock
index 68b228570..eb355eeb3 100644
--- a/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock
+++ b/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock
@@ -42,84 +42,99 @@
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@@ -181,59 +196,67 @@
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@@ -245,54 +268,63 @@
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+            "version": "==1.59.0"
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         "idna": {
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@@ -636,11 +668,11 @@
         },
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@@ -1011,19 +1043,19 @@
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+            "markers": "python_version >= '3.7'",
+            "version": "==2.0.6"
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diff --git a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock b/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock
index ae51bd8d7..cb813bf1c 100644
--- a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock
+++ b/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock
@@ -42,84 +42,99 @@
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@@ -181,59 +196,67 @@
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@@ -245,54 +268,63 @@
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+                "sha256:f6cfe44a5d7c7d5f1017a7da1c8160304091ca5dc64a0f85bca0d63008c3137a",
+                "sha256:fa66cac32861500f280bb60fe7d5b3e22d68c51e18e65367e38f8669b78cea3b",
+                "sha256:fc8bf2e7bc725e76c0c11e474634a08c8f24bcf7426c0c6d60c8f9c6e70e4d4a",
+                "sha256:fe976910de34d21057bcb53b2c5e667843588b48bf11339da2a75f5c4c5b4055"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==1.58.0"
+            "version": "==1.59.0"
         },
         "idna": {
             "hashes": [
@@ -636,11 +668,11 @@
         },
         "packaging": {
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-                "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"
+                "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5",
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             ],
             "markers": "python_version >= '3.7'",
-            "version": "==23.1"
+            "version": "==23.2"
         },
         "pandas": {
             "hashes": [
@@ -1011,19 +1043,19 @@
         },
         "urllib3": {
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-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.0.6"
         },
         "werkzeug": {
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             "markers": "python_version >= '3.8'",
-            "version": "==2.3.7"
+            "version": "==3.0.0"
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diff --git a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock b/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock
index db82326a0..f853d40c6 100644
--- a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock
+++ b/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock
@@ -49,84 +49,99 @@
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@@ -188,11 +203,11 @@
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@@ -251,11 +274,11 @@
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@@ -275,54 +298,63 @@
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             "markers": "python_version >= '3.7'",
-            "version": "==1.58.0"
+            "version": "==1.59.0"
         },
         "h5py": {
             "hashes": [
@@ -717,11 +749,11 @@
         },
         "packaging": {
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             "markers": "python_version >= '3.7'",
-            "version": "==23.1"
+            "version": "==23.2"
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@@ -1107,19 +1139,19 @@
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         "urllib3": {
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-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.0.6"
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         "werkzeug": {
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-            "version": "==2.3.7"
+            "version": "==3.0.0"
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diff --git a/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock b/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock
index 5390d7845..dbc96c9db 100644
--- a/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock
+++ b/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock
@@ -49,84 +49,99 @@
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@@ -188,11 +203,11 @@
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+                "sha256:6a530fa28c155538d32214eafa0964989098a662bd63e91e790e6a7a4e9c02da",
+                "sha256:70f021a6b9eb10dfe7a411b78e63a503a06955dd6d2a4e130906d8760474f77c",
+                "sha256:77e5113233a2df07af9dbf493468ce526784c3b179c0e8b9c7838ced37c98b69",
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+                "sha256:812142a0e53cc853964d487e6b40963df62f522b1b571e19d1ff8467d7880ceb",
+                "sha256:82d8e687a42799df5325e7ee12977b74738f34bf7fde1c296f8140efd699a213",
+                "sha256:8dfd8edfce34ad135bd69de20c77449c06e2c92b38f2a8358d0987737f82b49e",
+                "sha256:93c5b6d77baf28f306bc13fa987b0b13edca6a39dc2324eaca299a74ccc6316f",
+                "sha256:9d654d3e780e0ceabb1f4eff5a3c042c67d4428d0fe1ea3afd238a721cf171b3",
+                "sha256:a682fb5cbf8837d1822b80acc0be5ff2ea0c49ca836e468a21ffd388ef280fd3",
+                "sha256:a68b71adc3b3a90346e4ac92f0a69ab9caeba391f3b04ab6f1e98f2c8ebe88e3",
+                "sha256:a6a2e99bb9ea51e0974bbe71768df42c6dd189308c22f3f00560c3341b345646",
+                "sha256:ab80e7d6bb01316d5fc8161a2660ca2e9e597d0880db4927bc866c76474472ef",
+                "sha256:ace0fd5afb79849f599f76af5c6aa5e865bd042c811e4e047bbaa7752cc26126",
+                "sha256:ace51902ab67ef5fe225e8b361039e996db153e467e24a28d35f74849b37b7ce",
+                "sha256:af38f5145258e9866da5881580507e6d17ff7756beef175d13213a43a84244e9",
+                "sha256:b3813f57f85bbc0e4011a0e1e9211f9ee52f87f402e41dc05bc5135f03fa51c1",
+                "sha256:b5e760198f0b87e42478bb35a6eae385c636208f6f0d413e100b9c9c5efafb6a",
+                "sha256:b62a53a4ca83c32c6b78cac64464f88d02929779373c716f738af6968c8c821e",
+                "sha256:d08a694b280d615460563a6b4e2afb0b1b9df708c799ec212bf966652b94fc84",
+                "sha256:d27d960e10cf7617d70cf3104c32a69b008dde56f2d55a9bed4ba6e3df611544",
+                "sha256:da78f39b601ed0b4262929403186d65cf7a016f91ff349ab18fdc5a7080af465",
+                "sha256:dcc01cea0a121fb0c009993497bad93cae25e77db7dee5345fec9cce1aaa09cd",
+                "sha256:e3f8acc6ef4a627394021246e099faee4b343afd3ffe2e517d8195b4ebf20289",
+                "sha256:e4bc589d8da09267c7c4ceaaaa4fc01a7908ac5b43b286ac9279afe76407c384",
+                "sha256:e5d53eddaf436fa131042f44a76ea1ead0a17c354ab9de0d80e818f0cb1629f1",
+                "sha256:ee728d5af70f117581712966a21e2e07031e92c687ef1fdc457ac8d281016f64",
+                "sha256:f19c2b1c65d57cbea25cabb80941fea3fbf2625ff0cdcae8900b5fb1c145704f"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==4.42.1"
+            "version": "==4.43.0"
         },
         "gast": {
             "hashes": [
@@ -251,11 +274,11 @@
         },
         "google-auth": {
             "hashes": [
-                "sha256:2cec41407bd1e207f5b802638e32bb837df968bb5c05f413d0fa526fac4cf7a7",
-                "sha256:753a26312e6f1eaeec20bc6f2644a10926697da93446e1f8e24d6d32d45a922a"
+                "sha256:5a9af4be520ba33651471a0264eead312521566f44631cbb621164bc30c8fd40",
+                "sha256:c2e253347579d483004f17c3bd0bf92e611ef6c7ba24d41c5c59f2e7aeeaf088"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==2.23.0"
+            "version": "==2.23.2"
         },
         "google-auth-oauthlib": {
             "hashes": [
@@ -275,54 +298,63 @@
         },
         "grpcio": {
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+                "sha256:15f03bd714f987d48ae57fe092cf81960ae36da4e520e729392a59a75cda4f29",
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+                "sha256:38823bd088c69f59966f594d087d3a929d1ef310506bee9e3648317660d65b81",
+                "sha256:38da5310ef84e16d638ad89550b5b9424df508fd5c7b968b90eb9629ca9be4b9",
+                "sha256:3b8ff795d35a93d1df6531f31c1502673d1cebeeba93d0f9bd74617381507e3f",
+                "sha256:50eff97397e29eeee5df106ea1afce3ee134d567aa2c8e04fabab05c79d791a7",
+                "sha256:5711c51e204dc52065f4a3327dca46e69636a0b76d3e98c2c28c4ccef9b04c52",
+                "sha256:598f3530231cf10ae03f4ab92d48c3be1fee0c52213a1d5958df1a90957e6a88",
+                "sha256:611d9aa0017fa386809bddcb76653a5ab18c264faf4d9ff35cb904d44745f575",
+                "sha256:61bc72a00ecc2b79d9695220b4d02e8ba53b702b42411397e831c9b0589f08a3",
+                "sha256:63982150a7d598281fa1d7ffead6096e543ff8be189d3235dd2b5604f2c553e5",
+                "sha256:6c4b1cc3a9dc1924d2eb26eec8792fedd4b3fcd10111e26c1d551f2e4eda79ce",
+                "sha256:81d86a096ccd24a57fa5772a544c9e566218bc4de49e8c909882dae9d73392df",
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+                "sha256:871371ce0c0055d3db2a86fdebd1e1d647cf21a8912acc30052660297a5a6901",
+                "sha256:8cd2d38c2d52f607d75a74143113174c36d8a416d9472415eab834f837580cf7",
+                "sha256:936b2e04663660c600d5173bc2cc84e15adbad9c8f71946eb833b0afc205b996",
+                "sha256:93e9cb546e610829e462147ce724a9cb108e61647a3454500438a6deef610be1",
+                "sha256:956f0b7cb465a65de1bd90d5a7475b4dc55089b25042fe0f6c870707e9aabb1d",
+                "sha256:986de4aa75646e963466b386a8c5055c8b23a26a36a6c99052385d6fe8aaf180",
+                "sha256:aca8a24fef80bef73f83eb8153f5f5a0134d9539b4c436a716256b311dda90a6",
+                "sha256:acf70a63cf09dd494000007b798aff88a436e1c03b394995ce450be437b8e54f",
+                "sha256:b34c7a4c31841a2ea27246a05eed8a80c319bfc0d3e644412ec9ce437105ff6c",
+                "sha256:b95ec8ecc4f703f5caaa8d96e93e40c7f589bad299a2617bdb8becbcce525539",
+                "sha256:ba0ca727a173ee093f49ead932c051af463258b4b493b956a2c099696f38aa66",
+                "sha256:c041a91712bf23b2a910f61e16565a05869e505dc5a5c025d429ca6de5de842c",
+                "sha256:c0488c2b0528e6072010182075615620071371701733c63ab5be49140ed8f7f0",
+                "sha256:c173a87d622ea074ce79be33b952f0b424fa92182063c3bda8625c11d3585d09",
+                "sha256:c251d22de8f9f5cca9ee47e4bade7c5c853e6e40743f47f5cc02288ee7a87252",
+                "sha256:c4dfdb49f4997dc664f30116af2d34751b91aa031f8c8ee251ce4dcfc11277b0",
+                "sha256:ca87ee6183421b7cea3544190061f6c1c3dfc959e0b57a5286b108511fd34ff4",
+                "sha256:ceb1e68135788c3fce2211de86a7597591f0b9a0d2bb80e8401fd1d915991bac",
+                "sha256:d09bd2a4e9f5a44d36bb8684f284835c14d30c22d8ec92ce796655af12163588",
+                "sha256:d0fcf53df684fcc0154b1e61f6b4a8c4cf5f49d98a63511e3f30966feff39cd0",
+                "sha256:d74f7d2d7c242a6af9d4d069552ec3669965b74fed6b92946e0e13b4168374f9",
+                "sha256:de2599985b7c1b4ce7526e15c969d66b93687571aa008ca749d6235d056b7205",
+                "sha256:e5378785dce2b91eb2e5b857ec7602305a3b5cf78311767146464bfa365fc897",
+                "sha256:ec78aebb9b6771d6a1de7b6ca2f779a2f6113b9108d486e904bde323d51f5589",
+                "sha256:f1feb034321ae2f718172d86b8276c03599846dc7bb1792ae370af02718f91c5",
+                "sha256:f21917aa50b40842b51aff2de6ebf9e2f6af3fe0971c31960ad6a3a2b24988f4",
+                "sha256:f367e4b524cb319e50acbdea57bb63c3b717c5d561974ace0b065a648bb3bad3",
+                "sha256:f6cfe44a5d7c7d5f1017a7da1c8160304091ca5dc64a0f85bca0d63008c3137a",
+                "sha256:fa66cac32861500f280bb60fe7d5b3e22d68c51e18e65367e38f8669b78cea3b",
+                "sha256:fc8bf2e7bc725e76c0c11e474634a08c8f24bcf7426c0c6d60c8f9c6e70e4d4a",
+                "sha256:fe976910de34d21057bcb53b2c5e667843588b48bf11339da2a75f5c4c5b4055"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==1.58.0"
+            "version": "==1.59.0"
         },
         "h5py": {
             "hashes": [
@@ -717,11 +749,11 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61",
-                "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"
+                "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5",
+                "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==23.1"
+            "version": "==23.2"
         },
         "pandas": {
             "hashes": [
@@ -1107,19 +1139,19 @@
         },
         "urllib3": {
             "hashes": [
-                "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
-                "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
+                "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2",
+                "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.16"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.0.6"
         },
         "werkzeug": {
             "hashes": [
-                "sha256:2b8c0e447b4b9dbcc85dd97b6eeb4dcbaf6c8b6c3be0bd654e25553e0a2157d8",
-                "sha256:effc12dba7f3bd72e605ce49807bbe692bd729c3bb122a3b91747a6ae77df528"
+                "sha256:3ffff4dcc32db52ef3cc94dff3000a3c2846890f3a5a51800a27b909c5e770f0",
+                "sha256:cbb2600f7eabe51dbc0502f58be0b3e1b96b893b05695ea2b35b43d4de2d9962"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2.3.7"
+            "version": "==3.0.0"
         },
         "wheel": {
             "hashes": [

From f743e81eaf321295509687207b1c6bb119f1e4a6 Mon Sep 17 00:00:00 2001
From: GitHub Actions <github-actions[bot]@users.noreply.github.com>
Date: Fri, 29 Sep 2023 19:39:28 +0000
Subject: [PATCH 2/5] Update file via  digest-updater-6356230057 GitHub action

---
 manifests/base/params.env | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/manifests/base/params.env b/manifests/base/params.env
index 01fc2ceb4..c92cec1d8 100644
--- a/manifests/base/params.env
+++ b/manifests/base/params.env
@@ -1,11 +1,11 @@
-odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:a8113cbf422d24f5bae85fe93bb168e871919a66d223805fb5f2c0a2058a26a3
+odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:697f067146f21102333e8607d0dfc03ddb2225214489869dec0bbfb383e0f737
 odh-minimal-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:a138838e1c9acd7708462e420bf939e03296b97e9cf6c0aa0fd9a5d20361ab75
-odh-minimal-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:004af7a75279328bb821a6396df882e356e7d20916a837de4e74c908ba7198e9
+odh-minimal-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:a42bdf57c3d61d7a81a63d923c5a6ff1bf5e5284bb0aa972862fc063933ae733
 odh-minimal-gpu-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:c13cd3410e31184986d44d36ba663ca2f2225d14e5b086b09fe221219a94b6de
-odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:65451a922fa0f13f776a6839940e24ddd442cb1d811af37b415593f50e195c5c
+odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:57f82c8e059ec55b0359ae14a952c1d18be915cf0d4e600ec6828eb80fdd77f5
 odh-pytorch-gpu-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:94c5d01b19a0f30c0ca18153c50f18317f42c224e82321ef39c43116e7184731
-odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:a8dde0cc730aeba3a8982358d01a8bea2d0811a1fa17a876c06f3ca1b9a965d5
+odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:a24baff695680fa3055218643f775156f9d1c8c95a9ec68a24928642b8f0393d
 odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:5df71f5542d2e0161f0f4342aa9a390679d72dc6fae192fd8da1e5671b27e8d4
-odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:08bbfa3f9d616161a3261d4f6cc61c992796469dbee71aa20e15c3b228146a07
+odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:e1092904418c1366704feccfdadcaee808bc4c94d78abc515724b2cf25c242c5
 odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:fc52e4fbc8c1c70dfa22dbfe6b0353f5165c507c125df4438fca6a3f31fe976e
-odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:f69e0105e828b76adcd72bed3367df5f3d3b16a8139986441c4405a11d61992f
+odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:326af53ec96cd1a4897f0add69db5edb1e4e60428d83fa3ee60347424374b4d8

From c4ecb8692f41b56698d39f8a4def560779bdaccc Mon Sep 17 00:00:00 2001
From: Harshad Reddy Nalla <hnalla@redhat.com>
Date: Mon, 10 Jul 2023 11:36:14 -0400
Subject: [PATCH 3/5] Installation Habana based workbenches

habana 1.9.0 based notebook image installation
habana version 1.10.0 based image are include to support gaudi devices
habana version 1.11.0 based image are include to support gaudi devices

Signed-off-by: Harshad Reddy Nalla <hnalla@redhat.com>
---
 Makefile                                      |   19 +-
 README.md                                     |   27 +
 habana/1.10.0/ubi8-python-3.8/Dockerfile      |  163 +
 habana/1.10.0/ubi8-python-3.8/Pipfile         |   62 +
 habana/1.10.0/ubi8-python-3.8/Pipfile.lock    | 3620 ++++++++++++++++
 habana/1.10.0/ubi8-python-3.8/README.md       |   27 +
 .../kustomize/base/kustomization.yaml         |   13 +
 .../kustomize/base/service.yaml               |   15 +
 .../kustomize/base/statefulset.yaml           |   58 +
 habana/1.11.0/ubi8-python-3.8/Dockerfile      |  167 +
 habana/1.11.0/ubi8-python-3.8/Pipfile         |   61 +
 habana/1.11.0/ubi8-python-3.8/Pipfile.lock    | 3703 +++++++++++++++++
 habana/1.11.0/ubi8-python-3.8/README.md       |   26 +
 .../kustomize/base/kustomization.yaml         |   13 +
 .../kustomize/base/service.yaml               |   15 +
 .../kustomize/base/statefulset.yaml           |   58 +
 habana/1.9.0/ubi8-python-3.8/Dockerfile       |  152 +
 habana/1.9.0/ubi8-python-3.8/Pipfile          |   58 +
 habana/1.9.0/ubi8-python-3.8/Pipfile.lock     | 3601 ++++++++++++++++
 habana/1.9.0/ubi8-python-3.8/README.md        |   27 +
 .../kustomize/base/kustomization.yaml         |   13 +
 .../kustomize/base/service.yaml               |   15 +
 .../kustomize/base/statefulset.yaml           |   58 +
 habana/README.md                              |   26 +
 24 files changed, 11996 insertions(+), 1 deletion(-)
 create mode 100644 habana/1.10.0/ubi8-python-3.8/Dockerfile
 create mode 100644 habana/1.10.0/ubi8-python-3.8/Pipfile
 create mode 100644 habana/1.10.0/ubi8-python-3.8/Pipfile.lock
 create mode 100644 habana/1.10.0/ubi8-python-3.8/README.md
 create mode 100644 habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
 create mode 100644 habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml
 create mode 100644 habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
 create mode 100644 habana/1.11.0/ubi8-python-3.8/Dockerfile
 create mode 100644 habana/1.11.0/ubi8-python-3.8/Pipfile
 create mode 100644 habana/1.11.0/ubi8-python-3.8/Pipfile.lock
 create mode 100644 habana/1.11.0/ubi8-python-3.8/README.md
 create mode 100644 habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
 create mode 100644 habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml
 create mode 100644 habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
 create mode 100644 habana/1.9.0/ubi8-python-3.8/Dockerfile
 create mode 100644 habana/1.9.0/ubi8-python-3.8/Pipfile
 create mode 100644 habana/1.9.0/ubi8-python-3.8/Pipfile.lock
 create mode 100644 habana/1.9.0/ubi8-python-3.8/README.md
 create mode 100644 habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
 create mode 100644 habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml
 create mode 100644 habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
 create mode 100644 habana/README.md

diff --git a/Makefile b/Makefile
index 65552f5b7..fc174633c 100644
--- a/Makefile
+++ b/Makefile
@@ -42,6 +42,8 @@ define image
 	$(call push_image,$(1))
 endef
 
+####################################### Buildchain for Python 3.8 using ubi8 #######################################
+
 # Build and push base-ubi8-python-3.8 image to the registry
 .PHONY: base-ubi8-python-3.8
 base-ubi8-python-3.8:
@@ -87,6 +89,21 @@ jupyter-pytorch-ubi8-python-3.8: cuda-jupyter-datascience-ubi8-python-3.8
 jupyter-trustyai-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
 	$(call image,$@,jupyter/trustyai/ubi8-python-3.8,$<)
 
+# Build and push habana-jupyter-1.9.0-ubi8-python-3.8 image to the registry
+.PHONY: habana-jupyter-1.9.0-ubi8-python-3.8
+habana-jupyter-1.9.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
+	$(call image,$@,habana/1.9.0/ubi8-python-3.8,$<)
+
+# Build and push habana-jupyter-1.10.0-ubi8-python-3.8 image to the registry
+.PHONY: habana-jupyter-1.10.0-ubi8-python-3.8
+habana-jupyter-1.10.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
+	$(call image,$@,habana/1.10.0/ubi8-python-3.8,$<)
+
+# Build and push habana-jupyter-1.11.0-ubi8-python-3.8 image to the registry
+.PHONY: habana-jupyter-1.11.0-ubi8-python-3.8
+habana-jupyter-1.11.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
+	$(call image,$@,habana/1.11.0/ubi8-python-3.8,$<)
+
 # Build and push runtime-minimal-ubi8-python-3.8 image to the registry
 .PHONY: runtime-minimal-ubi8-python-3.8
 runtime-minimal-ubi8-python-3.8: base-ubi8-python-3.8
@@ -210,7 +227,7 @@ jupyter-datascience-anaconda-python-3.8: base-anaconda-python-3.8
 	$(call image,$@,jupyter/datascience/anaconda-python-3.8,$<)
 
 
-####################################### Buildchain for Anaconda Python #######################################
+####################################### Deployments #######################################
 
 # Download kubectl binary
 .PHONY: bin/kubectl
diff --git a/README.md b/README.md
index 190f8d2b2..875b93dd8 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,8 @@
 # Notebook Images
 
+[![GitHub Tag](https://img.shields.io/github/v/tag/opendatahub-io/notebooks?style=plastic)](https://github.com/opendatahub-io/notebooks/releases)
+[![Docker Repository on Quay](https://quay.io/repository/opendatahub/workbench-images/status "Docker Repository on Quay")](https://quay.io/repository/opendatahub/workbench-images?tab=tags)
+
 These images were created to be used with Open Data Hub (ODH) with the ODH Notebook Controller as the launcher.
 
 ## Container Image Layering
@@ -40,6 +43,18 @@ graph TB
         cuda-jupyter-datascience-ubi8-python-3.8 --> cuda-jupyter-tensorflow-ubi8-python-3.8;
     end
 
+    subgraph Habana
+        %% Nodes
+        habana-jupyter-1.9.0-ubi8-python-3.8("HabanaAI Data Science Notebook<br/>(habana-jupyter-1.9.0-ubi8-python-3.8)");
+        habana-jupyter-1.10.0-ubi8-python-3.8("HabanaAI Data Science Notebook<br/>(habana-jupyter-1.10.0-ubi8-python-3.8)");
+        habana-jupyter-1.11.0-ubi8-python-3.8("HabanaAI Data Science Notebook<br/>(habana-jupyter-1.11.0-ubi8-python-3.8)");
+
+        %% Edges
+        jupyter-datascience-ubi8-python-3.8 --> habana-jupyter-1.9.0-ubi8-python-3.8;
+        jupyter-datascience-ubi8-python-3.8 --> habana-jupyter-1.10.0-ubi8-python-3.8;
+        jupyter-datascience-ubi8-python-3.8 --> habana-jupyter-1.11.0-ubi8-python-3.8;
+    end
+
     subgraph Runtimes
         %% Nodes
         runtimes-minimal-ubi8-python-3.8("Minimal Runtime<br/>(runtime-minimal-ubi8-python-3.8)");
@@ -129,6 +144,9 @@ The following workbench images are available:
 - cuda-jupyter-minimal-ubi8-python-3.8
 - cuda-jupyter-datascience-ubi8-python-3.8
 - cuda-jupyter-tensorflow-ubi8-python-3.8
+- habana-jupyter-1.9.0-ubi8-python-3.8
+- habana-jupyter-1.10.0-ubi8-python-3.8
+- habana-jupyter-1.11.0-ubi8-python-3.8
 - runtime-minimal-ubi8-python-3.8
 - runtime-datascience-ubi8-python-3.8
 - runtime-pytorch-ubi8-python-3.8
@@ -166,6 +184,15 @@ You can overwrite `IMAGE_REGISTRY` and `RELEASE` variables to use a different re
 make ${WORKBENCH_NAME} -e IMAGE_REGISTRY=quay.io/${YOUR_USER}/workbench-images -e RELEASE=2023x
 ```
 
+## Local Execution
+
+The notebook can be run as container on the local systems.
+Use podman/docker to execute the workbench images as container.
+
+```shell
+podman run -p 8888:8888 quay.io/opendatahub/workbench-images:jupyter-minimal-ubi8-python-3.8-20230808
+```
+
 ## Testing Notebooks
 
 Deploy the notebook images in your Kubernetes environment using deploy8-${NOTEBOOK_NAME} for ubi8 or deploy9-${NOTEBOOK_NAME} for ubi9:
diff --git a/habana/1.10.0/ubi8-python-3.8/Dockerfile b/habana/1.10.0/ubi8-python-3.8/Dockerfile
new file mode 100644
index 000000000..411573ddf
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/Dockerfile
@@ -0,0 +1,163 @@
+# Copyright (c) 2022 Habana Labs, Ltd.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+# HabanaLabs Dockerfile base installer layer for RedHat 8.6
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/base/Dockerfile.rhel8.6 
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+ARG ARTIFACTORY_URL="vault.habana.ai"
+ARG VERSION="1.10.0"
+ARG REVISION="494"
+ARG PT_VERSION="2.0.1"
+
+USER root
+
+RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=AppStream&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo
+
+RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=BaseOS&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo
+
+RUN dnf install -y \
+    clang \
+    cmake3 \
+    cpp \
+    gcc \
+    gcc-c++ \
+    glibc \
+    glibc-headers \
+    glibc-devel \
+    jemalloc \
+    libarchive \
+    libksba \
+    unzip \
+    llvm \
+    lsof \
+    python38-devel \
+    openssh-clients \
+    libjpeg-devel \
+    openssh-server \
+    redhat-lsb-core \
+    wget \
+    git \
+    mesa-libGL \
+    python3-dnf-plugin-versionlock && \
+    # update pkgs (except OS version) for resolving potentials CVEs
+    dnf versionlock add redhat-release* && \
+    dnf update -y && \
+    dnf clean all && rm -rf /var/cache/yum
+
+ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH
+ENV RDMAV_FORK_SAFE=1
+
+RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
+    echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo
+
+RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \
+    echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \
+    echo "baseurl=http://mirror.centos.org/centos/8-stream/PowerTools/x86_64/os/"  >> /etc/yum.repos.d/powertools.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo
+
+RUN dnf install -y habanalabs-rdma-core-"$VERSION"-"$REVISION".el8 \
+        habanalabs-thunk-"$VERSION"-"$REVISION".el8 \
+        habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \
+        habanalabs-graph-"$VERSION"-"$REVISION".el8 && \
+    rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \
+    dnf clean all && rm -rf /var/cache/yum
+
+# There is no need to store pip installation files inside docker image
+ENV PIP_NO_CACHE_DIR=on
+ENV PIP_DISABLE_PIP_VERSION_CHECK=1
+
+# Install python packages 
+# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}"
+# Install Python packages and Jupyterlab extensions from Pipfile.lock
+COPY Pipfile.lock ./
+
+RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
+
+RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc
+RUN export LANG=en_US.UTF-8
+ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
+ENV HABANA_LOGS=/var/log/habana_logs/
+ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw
+ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins
+
+## Install habana tensorflow
+## Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/tensorflow/Dockerfile.rhel8.6 
+
+# For AML/CentOS/RHEL OS'es TFIO_DATAPATH have to be specified to import tensorflow_io lib correctly
+ENV TFIO_DATAPATH=/opt/app-root/src/python3.8/site-packages/
+
+# For AML/CentOS/RHEL ca-cert file is expected exactly under /etc/ssl/certs/ca-certificates.crt
+# otherwise curl will fail during access to S3 AWS storage
+RUN ln -s /etc/ssl/certs/ca-bundle.crt /etc/ssl/certs/ca-certificates.crt
+
+## Install habana pytorch
+## Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/pytorch/Dockerfile.rhel8.6
+ENV LANG=en_US.UTF-8
+ENV PYTHONPATH=/root:/usr/lib/habanalabs/
+
+RUN dnf install -y \
+    curl \
+    cairo-devel \
+    numactl-devel \
+    iproute \
+    which \
+    zlib-devel \
+    lapack-devel \
+    openblas-devel \
+    numactl \
+    gperftools-devel && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\
+/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
+    mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \
+    tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \
+    pip3 install /root/habanalabs/pytorch_temp/*.whl && \
+    pip3 install $(grep "lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \
+    pip3 install tensorboard~=2.12.2 protobuf==3.20.3 && \
+    pip3 install -U habana-lightning-plugins=="${VERSION}"."${REVISION}" && \
+    pip3 uninstall -y pillow pillow-simd && \
+    pip3 install pillow-simd==7.0.0.post3 && \
+    rm -rf /root/habanalabs/pytorch_temp/ && \
+    rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
+    echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc
+    
+ENV LD_PRELOAD=/lib64/libtcmalloc.so.4
+ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768
+
+RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/*
+
+## Label the image with details required by ODH
+LABEL name="odh-notebook-habana-jupyter-1.10.0-ubi8-python-3.8" \
+    summary="Jupyter HabanaAI 1.10.0 notebook image for ODH notebooks" \
+    description="Jupyter HabanaAI 1.10.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    io.k8s.display-name="Jupyter HabanaAI 1.10.0 notebook image for ODH notebooks" \
+    io.k8s.description="Jupyter HabanaAI 1.10.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
+    io.openshift.build.commit.ref="main" \
+    io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.10.0/ubi8-python-3.8" \
+    io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.10.0-ubi8-python-3.8"
+
+# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x
+RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
+    # Fix permissions to support pip in Openshift environments \
+    chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
+    fix-permissions /opt/app-root -P
+
+USER 1001
+
+WORKDIR /opt/app-root/src
\ No newline at end of file
diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile b/habana/1.10.0/ubi8-python-3.8/Pipfile
new file mode 100644
index 000000000..e2df2e55c
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/Pipfile
@@ -0,0 +1,62 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[dev-packages]
+
+[packages]
+# Habana requirements
+habana_media_loader = "==1.10.0.494"
+
+# TensorFlow and useful extensions
+habana-tensorflow = "==1.10.0.494"
+tensorflow-cpu = "==2.12.0"
+tensorflow-io = "==0.32.0"
+tensorboard = "~=2.12.2"
+tf2onnx = "~= 1.13.0"
+
+# Pytorch and useful extension
+habana-pyhlml = "==1.10.0.494"
+
+# Below pkgs are required for pytorch-fork
+cffi = "==1.14.6"
+typing-extensions = ">=4.0.0"
+numpy = "==1.23.5"
+ninja = "==1.10.2"
+pyyaml = "==5.4.1"
+mkl = "==2022.0.2"
+mkl-include = "==2022.0.2"
+pybind11 = "==2.6.2"
+
+# Parent image requirements to maintain cohesion
+elyra-pipeline-editor-extension = "~=3.15.0"
+elyra-python-editor-extension = "~=3.15.0"
+elyra-code-snippet-extension = "~=3.15.0"
+kfp-tekton = "<1.6.0"
+boto3 = "~=1.26.165"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.6.3"
+pandas = "~=1.5.3"
+plotly = "~=5.13.1"
+scikit-learn = "~=1.2.2"
+scipy = "~=1.10.1"
+
+jupyter-bokeh = "~=3.0.5"
+jupyterlab-lsp = "~=3.10.2"
+jupyterlab-widgets = "~=3.0.5"
+jupyter-resource-usage = "~=0.6.0"
+
+# Parent image requirements to maintain cohesion
+jupyterlab = "~=3.5.3"
+jupyter-server = "~=2.1.0"
+jupyter-server-proxy = "~=3.2.2"
+jupyter-server-terminals = "~=0.4.4"
+jupyterlab-git = "~=0.41.0"
+nbdime = "~=3.1.1"
+nbgitpuller = "~=1.1.1"
+# ---
+wheel = "~=0.38.4"
+
+[requires]
+python_version = "3.8"
diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile.lock b/habana/1.10.0/ubi8-python-3.8/Pipfile.lock
new file mode 100644
index 000000000..1d62fecb1
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/Pipfile.lock
@@ -0,0 +1,3620 @@
+{
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+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.8"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
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+    "default": {
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+            "version": "==1.4.0"
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+                "sha256:53338749febd28935d55b41bf0bcc79d634881195a39f6b2f767870b72514caf",
+                "sha256:5415d5a4b080dc9612b1b63cba008db84e908b95848369aa1da3686ae27b6d2b",
+                "sha256:5610f80cf43b6202e2c33ba3ec2ee0a2884f8f423c8f4f62906731d876ef4fac",
+                "sha256:566185e8ebc0898b11f8026447eacd02e46226716229cea8db37496c8cdd26e0",
+                "sha256:56ff08ab5df8429901ebdc5d15941b59f6253393cb5da07b4170beefcf1b2528",
+                "sha256:59723a029760079b7d991a401386390c4be5bfec1e7dd83e25a6a0881859e716",
+                "sha256:5fcd436ea16fee7d4207c045b1e340020e58a2597301cfbcfdbe5abd2356c2fb",
+                "sha256:61016e7d582bc46a5378ffdd02cd0314fb8ba52f40f9cf4d9a5e7dbef88dee18",
+                "sha256:63c48f6cef34e6319a74c727376e95626f84ea091f92c0250a98e53e62c77c72",
+                "sha256:646d663eb2232d7909e6601f1a9107e66f9791f290a1b3dc7057818fe44fc2b6",
+                "sha256:662e6016409828ee910f5d9602a2729a8a57d74b163c89a837de3fea050c7582",
+                "sha256:674ca19cbee4a82c9f54e0d1eee28116e63bc6fd1e96c43031d11cbab8b2afd5",
+                "sha256:6a5883464143ab3ae9ba68daae8e7c5c95b969462bbe42e2464d60e7e2698368",
+                "sha256:6e7221580dc1db478464cfeef9b03b95c5852cc22894e418562997df0d074ccc",
+                "sha256:75df5ef94c3fdc393c6b19d80e6ef1ecc9ae2f4263c09cacb178d871c02a5ba9",
+                "sha256:783185c75c12a017cc345015ea359cc801c3b29a2966c2655cd12b233bf5a2be",
+                "sha256:822b30a0f22e588b32d3120f6d41e4ed021806418b4c9f0bc3048b8c8cb3f92a",
+                "sha256:8288d7cd28f8119b07dd49b7230d6b4562f9b61ee9a4ab02221060d21136be80",
+                "sha256:82aa6264b36c50acfb2424ad5ca537a2060ab6de158a5bd2a72a032cc75b9eb8",
+                "sha256:832b7e711027c114d79dffb92576acd1bd2decc467dec60e1cac96912602d0e6",
+                "sha256:838162460b3a08987546e881a2bfa573960bb559dfa739e7800ceeec92e64417",
+                "sha256:83fcc480d7549ccebe9415d96d9263e2d4226798c37ebd18c930fce43dfb9574",
+                "sha256:84e0b1599334b1e1478db01b756e55937d4614f8654311eb26012091be109d59",
+                "sha256:891c0e3ec5ec881541f6c5113d8df0315ce5440e244a716b95f2525b7b9f3608",
+                "sha256:8c2ad583743d16ddbdf6bb14b5cd76bf43b0d0006e918809d5d4ddf7bde8dd82",
+                "sha256:8c56986609b057b4839968ba901944af91b8e92f1725d1a2d77cbac6972b9ed1",
+                "sha256:8ea48e0a2f931064469bdabca50c2f578b565fc446f302a79ba6cc0ee7f384d3",
+                "sha256:8ec53a0ea2a80c5cd1ab397925f94bff59222aa3cf9c6da938ce05c9ec20428d",
+                "sha256:95d2ecefbcf4e744ea952d073c6922e72ee650ffc79028eb1e320e732898d7e8",
+                "sha256:9b3152f2f5677b997ae6c804b73da05a39daa6a9e85a512e0e6823d81cdad7cc",
+                "sha256:9bf345c3a4f5ba7f766430f97f9cc1320786f19584acc7086491f45524a551ac",
+                "sha256:a60347f234c2212a9f0361955007fcf4033a75bf600a33c88a0a8e91af77c0e8",
+                "sha256:a74dcbfe780e62f4b5a062714576f16c2f3493a0394e555ab141bf0d746bb955",
+                "sha256:a83503934c6273806aed765035716216cc9ab4e0364f7f066227e1aaea90b8d0",
+                "sha256:ac9bb4c5ce3975aeac288cfcb5061ce60e0d14d92209e780c93954076c7c4367",
+                "sha256:aff634b15beff8902d1f918012fc2a42e0dbae6f469fce134c8a0dc51ca423bb",
+                "sha256:b03917871bf859a81ccb180c9a2e6c1e04d2f6a51d953e6a5cdd70c93d4e5a2a",
+                "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623",
+                "sha256:b25322201585c69abc7b0e89e72790469f7dad90d26754717f3310bfe30331c2",
+                "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6",
+                "sha256:b8cc1863402472f16c600e3e93d542b7e7542a540f95c30afd472e8e549fc3f7",
+                "sha256:b9a4e67ad7b646cd6f0938c7ebfd60e481b7410f574c560e455e938d2da8e0f4",
+                "sha256:be6b3fdec5c62f2a67cb3f8c6dbf56bbf3f61c0f046f84645cd1ca73532ea051",
+                "sha256:bf74d08542c3a9ea97bb8f343d4fcbd4d8f91bba5ec9d5d7f792dbe727f88938",
+                "sha256:c027a6e96ef77d401d8d5a5c8d6bc478e8042f1e448272e8d9752cb0aff8b5c8",
+                "sha256:c0c77533b5ed4bcc38e943178ccae29b9bcf48ffd1063f5821192f23a1bd27b9",
+                "sha256:c1012fa63eb6c032f3ce5d2171c267992ae0c00b9e164efe4d73db818465fac3",
+                "sha256:c3a53ba34a636a256d767c086ceb111358876e1fb6b50dfc4d3f4951d40133d5",
+                "sha256:d4e2c6d555e77b37288eaf45b8f60f0737c9efa3452c6c44626a5455aeb250b9",
+                "sha256:de119f56f3c5f0e2fb4dee508531a32b069a5f2c6e827b272d1e0ff5ac040333",
+                "sha256:e65610c5792870d45d7b68c677681376fcf9cc1c289f23e8e8b39c1485384185",
+                "sha256:e9fdc7ac0d42bc3ea78818557fab03af6181e076a2944f43c38684b4b6bed8e3",
+                "sha256:ee4afac41415d52d53a9833ebae7e32b344be72835bbb589018c9e938045a560",
+                "sha256:f364d3480bffd3aa566e886587eaca7c8c04d74f6e8933f3f2c996b7f09bee1b",
+                "sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7",
+                "sha256:f4e2d08f07a3d7d3e12549052eb5ad3eab1c349c53ac51c209a0e5991bbada78",
+                "sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.9.2"
+        },
+        "yaspin": {
+            "hashes": [
+                "sha256:58aaa19330b9eacf86241043342b4040ded75f170240276d963c570263cd8f53",
+                "sha256:f96ab3b5c42e1eaa6af3193508082309d9dc43f6963339f9aa606003ee8d7e63"
+            ],
+            "markers": "python_full_version >= '3.8.1' and python_full_version < '4.0.0'",
+            "version": "==2.5.0"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31",
+                "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==3.17.0"
+        }
+    },
+    "develop": {}
+}
diff --git a/habana/1.10.0/ubi8-python-3.8/README.md b/habana/1.10.0/ubi8-python-3.8/README.md
new file mode 100644
index 000000000..124f8eb4c
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/README.md
@@ -0,0 +1,27 @@
+# Habana Notebook Image
+This directory contains the Dockerfile to build a Notebook image compatible with 1.10.0 Habana Version.  
+
+Currently supporting the support matrix:  
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.10.0.html   
+
+
+| Firmware                 | version          |
+| ------------------------ | ---------------- |
+| First-gen Gaudi Firmware | 1.2.3            |
+| Gaudi2 Firmware          | 1.10.0-fw-43.2.0 |
+
+
+| Python-package | version |
+| -------------- | ------- |
+| torch          | 2.0.1   |
+| tensorflow     | 2.12.0  |
+| pandas         | 1.5.3   |
+| numpy          | 1.23.5  |
+| scipy          | 1.10.1  |
+
+Reference:  
+https://github.com/HabanaAI/Setup_and_Install/tree/1.10.0 
+
+
+For further documentation related to HabanaAI, please refer:  
+https://docs.habana.ai/en/v1.10.0/Gaudi_Overview/index.html
\ No newline at end of file
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
new file mode 100644
index 000000000..053283571
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
@@ -0,0 +1,13 @@
+---
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namePrefix: habana-1-10-0-ubi8-python-3-8-
+commonLabels:
+  app: habana-1-10-0-ubi8-python-3-8
+resources:
+  - service.yaml
+  - statefulset.yaml
+images:
+  - name: quay.io/opendatahub/workbench-images
+    newName: quay.io/opendatahub/workbench-images
+    newTag: habana-1.10.0-ubi8-python-3.8-2023a_20230925
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml
new file mode 100644
index 000000000..d6f7128e8
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml
@@ -0,0 +1,15 @@
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: notebook
+  labels:
+    app: notebook
+spec:
+  type: ClusterIP
+  ports:
+    - port: 8888
+      protocol: TCP
+      targetPort: notebook-port
+  selector:
+    app: notebook
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
new file mode 100644
index 000000000..821b88122
--- /dev/null
+++ b/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
@@ -0,0 +1,58 @@
+---
+apiVersion: apps/v1
+kind: StatefulSet
+metadata:
+  name: notebook
+  annotations:
+    opendatahub.io/username: jovyan
+  labels:
+    opendatahub.io/user: jovyan
+spec:
+  replicas: 1
+  selector: {}
+  serviceName: notebook
+  template:
+    metadata:
+      labels: {}
+    spec:
+      containers:
+        - name: notebook
+          image: quay.io/opendatahub/workbench-images:habana-jupyter-1.10.0-ubi8-python-3.8
+          imagePullPolicy: Always
+          workingDir: /opt/app-root/src
+          env:
+            - name: NOTEBOOK_ARGS
+              value: |-
+                --ServerApp.port=8888
+                --ServerApp.token=''
+                --ServerApp.password=''
+                --ServerApp.base_url=/notebook/opendatahub/jovyan
+                --ServerApp.quit_button=False
+                --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
+          ports:
+            - name: notebook-port
+              protocol: TCP
+              containerPort: 8888
+          livenessProbe:
+            tcpSocket:
+              port: notebook-port
+            initialDelaySeconds: 5
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          readinessProbe:
+            httpGet:
+              path: /notebook/opendatahub/jovyan/api
+              port: notebook-port
+              scheme: HTTP
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          resources:
+            limits:
+              cpu: 500m
+              memory: 2Gi
+            requests:
+              cpu: 500m
+              memory: 2Gi
diff --git a/habana/1.11.0/ubi8-python-3.8/Dockerfile b/habana/1.11.0/ubi8-python-3.8/Dockerfile
new file mode 100644
index 000000000..45873d215
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/Dockerfile
@@ -0,0 +1,167 @@
+# Copyright (c) 2022 Habana Labs, Ltd.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+# HabanaLabs Dockerfile base installer layer for RedHat 8.6
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/base/Dockerfile.rhel8.6 
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+ARG ARTIFACTORY_URL="vault.habana.ai"
+ARG VERSION="1.11.0"
+ARG REVISION="587"
+ARG PT_VERSION="2.0.1"
+
+USER root
+
+RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=AppStream&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo
+
+
+RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=BaseOS&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo
+
+RUN dnf install -y \
+    clang \
+    cmake3 \
+    cpp \
+    gcc \
+    gcc-c++ \
+    glibc \
+    glibc-headers \
+    glibc-devel \
+    jemalloc \
+    libarchive \
+    libksba \
+    unzip \
+    llvm \
+    lsof \
+    python38-devel \
+    openssh-clients \
+    libjpeg-devel \
+    openssh-server \
+    redhat-lsb-core \
+    wget \
+    git \
+    mesa-libGL \
+    python3-dnf-plugin-versionlock && \
+    # update pkgs (except OS version) for resolving potentials CVEs
+    dnf versionlock add redhat-release* && \
+    dnf update -y && \
+    dnf clean all && rm -rf /var/cache/yum
+
+ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH
+ENV RDMAV_FORK_SAFE=1
+
+RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
+    echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo
+
+RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \
+    echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \
+    echo "baseurl=http://mirror.centos.org/centos/8-stream/PowerTools/x86_64/os/"  >> /etc/yum.repos.d/powertools.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo
+
+RUN dnf install -y habanalabs-rdma-core-"$VERSION"-"$REVISION".el8 \
+        habanalabs-thunk-"$VERSION"-"$REVISION".el8 \
+        habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \
+        habanalabs-graph-"$VERSION"-"$REVISION".el8 && \
+    rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN rpm -V habanalabs-rdma-core && rpm -V habanalabs-thunk && rpm -V habanalabs-firmware-tools && rpm -V habanalabs-graph
+
+# There is no need to store pip installation files inside docker image
+ENV PIP_NO_CACHE_DIR=on
+ENV PIP_DISABLE_PIP_VERSION_CHECK=1
+ENV RDMA_CORE_ROOT=/opt/habanalabs/rdma-core/src
+ENV RDMA_CORE_LIB=${RDMA_CORE_ROOT}/build/lib
+
+# Install python packages 
+# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}"
+# Install Python packages and Jupyterlab extensions from Pipfile.lock
+COPY Pipfile.lock ./
+
+RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
+
+RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc
+RUN export LANG=en_US.UTF-8
+ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
+ENV HABANA_LOGS=/var/log/habana_logs/
+ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw
+ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins
+
+## Install habana tensorflow
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/tensorflow/Dockerfile.rhel8.6
+# For AML/CentOS/RHEL OS'es TFIO_DATAPATH have to be specified to import tensorflow_io lib correctly
+ENV TFIO_DATAPATH=/opt/app-root/src/python3.8/site-packages/
+
+# For AML/CentOS/RHEL ca-cert file is expected exactly under /etc/ssl/certs/ca-certificates.crt
+# otherwise curl will fail during access to S3 AWS storage
+RUN ln -s /etc/ssl/certs/ca-bundle.crt /etc/ssl/certs/ca-certificates.crt
+
+## Install habana pytorch
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.11.0/dockerfiles/pytorch/Dockerfile.rhel8.6
+ENV LANG=en_US.UTF-8
+ENV PYTHONPATH=/root:/usr/lib/habanalabs/
+
+RUN dnf install -y \
+    curl \
+    cairo-devel \
+    numactl-devel \
+    iproute \
+    which \
+    zlib-devel \
+    lapack-devel \
+    openblas-devel \
+    numactl \
+    gperftools-devel && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\
+/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
+    mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \
+    tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \
+    pip3 install /root/habanalabs/pytorch_temp/*.whl && \
+    pip3 install $(grep "lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \
+    pip3 install tensorboard~=2.12.2 protobuf==3.20.3 && \
+    pip3 uninstall -y pillow && \
+    pip3 uninstall -y pillow-simd && \
+    pip3 install pillow-simd==7.0.0.post3 && \
+    rm -rf /root/habanalabs/pytorch_temp/ && \
+    rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz &&\
+    echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc
+
+ENV LD_PRELOAD=/lib64/libtcmalloc.so.4
+ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768
+
+RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/*
+
+## Label the image with details required by ODH
+LABEL name="odh-notebook-habana-jupyter-1.11.0-ubi8-python-3.8" \
+    summary="Jupyter HabanaAI 1.11.0 notebook image for ODH notebooks" \
+    description="Jupyter HabanaAI 1.11.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    io.k8s.display-name="Jupyter HabanaAI 1.11.0 notebook image for ODH notebooks" \
+    io.k8s.description="Jupyter HabanaAI 1.11.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
+    io.openshift.build.commit.ref="main" \
+    io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.11.0/ubi8-python-3.8" \
+    io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.11.0-ubi8-python-3.8"
+
+# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x
+RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
+    # Fix permissions to support pip in Openshift environments \
+    chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
+    fix-permissions /opt/app-root -P
+
+USER 1001
+
+WORKDIR /opt/app-root/src
\ No newline at end of file
diff --git a/habana/1.11.0/ubi8-python-3.8/Pipfile b/habana/1.11.0/ubi8-python-3.8/Pipfile
new file mode 100644
index 000000000..ac03c1484
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/Pipfile
@@ -0,0 +1,61 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[dev-packages]
+
+[packages]
+# Habana requirements
+habana_media_loader = "==1.11.0.587"
+
+# TensorFlow and useful extensions
+habana-tensorflow = "==1.11.0.587"
+tensorflow-cpu = "==2.12.1"
+tensorflow-io = "==0.32.0"
+tensorboard = "~=2.12.2"
+tf2onnx = "~= 1.13.0"
+
+# Pytorch and useful extension
+habana-pyhlml = "==1.11.0.587"
+
+# Below pkgs are required for pytorch-fork
+cffi = "==1.15.1"
+typing-extensions = ">=4.5.0"
+numpy = "==1.23.5"
+ninja = ">=1.11.1"
+pyyaml = "==6.0"
+pybind11 = "==2.10.4"
+mkl = "==2023.1"
+mkl-include = "==2023.1"
+
+# Parent image requirements to maintain cohesion
+elyra-pipeline-editor-extension = "~=3.15.0"
+elyra-python-editor-extension = "~=3.15.0"
+elyra-code-snippet-extension = "~=3.15.0"
+kfp-tekton = "<1.6.0"
+boto3 = "~=1.26.69"
+jupyter-bokeh = "~=3.0.5"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.6.3"
+pandas = "~=1.5.3"
+plotly = "~=5.13.0"
+scikit-learn = "~=1.2.1"
+scipy = "~=1.10.0"
+jupyterlab-lsp = "~=3.10.2"
+jupyterlab-widgets = "~=3.0.5"
+jupyter-resource-usage = "~=0.6.0"
+
+# Parent image requirements to maintain cohesion
+jupyterlab = "~=3.5.3"
+jupyter-server = "~=2.1.0"
+jupyter-server-proxy = "~=3.2.2"
+jupyter-server-terminals = "~=0.4.4"
+jupyterlab-git = "~=0.41.0"
+nbdime = "~=3.1.1"
+nbgitpuller = "~=1.1.1"
+# ---
+wheel = "~=0.38.4"
+
+[requires]
+python_version = "3.8"
diff --git a/habana/1.11.0/ubi8-python-3.8/Pipfile.lock b/habana/1.11.0/ubi8-python-3.8/Pipfile.lock
new file mode 100644
index 000000000..7279c97a0
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/Pipfile.lock
@@ -0,0 +1,3703 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "4e6c20efd1aba194d95871a13779498f99a480d44af76cde9d1d52d45b76a3b8"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.8"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "absl-py": {
+            "hashes": [
+                "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47",
+                "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==1.4.0"
+        },
+        "aiohttp": {
+            "hashes": [
+                "sha256:00ad4b6f185ec67f3e6562e8a1d2b69660be43070bd0ef6fcec5211154c7df67",
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+                "sha256:01d4c0c874aa4ddfb8098e85d10b5e875a70adc63db91f1ae65a4b04d3344cda",
+                "sha256:043d2299f6dfdc92f0ac5e995dfc56668e1587cea7f9aa9d8a78a1b6554e5755",
+                "sha256:0c413c633d0512df4dc7fd2373ec06cc6a815b7b6d6c2f208ada7e9e93a5061d",
+                "sha256:0d21c684808288a98914e5aaf2a7c6a3179d4df11d249799c32d1808e79503b5",
+                "sha256:0e584a10f204a617d71d359fe383406305a4b595b333721fa50b867b4a0a1548",
+                "sha256:1274477e4c71ce8cfe6c1ec2f806d57c015ebf84d83373676036e256bc55d690",
+                "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84",
+                "sha256:153c2549f6c004d2754cc60603d4668899c9895b8a89397444a9c4efa282aaf4",
+                "sha256:1f7372f7341fcc16f57b2caded43e81ddd18df53320b6f9f042acad41f8e049a",
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+                "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==21.2.0"
+        },
+        "arrow": {
+            "hashes": [
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+                "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"
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+            "markers": "python_version >= '3.8'",
+            "version": "==1.3.0"
+        },
+        "astroid": {
+            "hashes": [
+                "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c",
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+            "markers": "python_full_version >= '3.7.2'",
+            "version": "==2.15.8"
+        },
+        "asttokens": {
+            "hashes": [
+                "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e",
+                "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"
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+        "astunparse": {
+            "hashes": [
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+            "markers": "python_version >= '3.7'",
+            "version": "==4.0.3"
+        },
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+                "sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.9.2"
+        },
+        "yaspin": {
+            "hashes": [
+                "sha256:58aaa19330b9eacf86241043342b4040ded75f170240276d963c570263cd8f53",
+                "sha256:f96ab3b5c42e1eaa6af3193508082309d9dc43f6963339f9aa606003ee8d7e63"
+            ],
+            "markers": "python_full_version >= '3.8.1' and python_full_version < '4.0.0'",
+            "version": "==2.5.0"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31",
+                "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==3.17.0"
+        }
+    },
+    "develop": {}
+}
diff --git a/habana/1.11.0/ubi8-python-3.8/README.md b/habana/1.11.0/ubi8-python-3.8/README.md
new file mode 100644
index 000000000..728e56234
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/README.md
@@ -0,0 +1,26 @@
+# Habana Notebook Image
+This directory contains the Dockerfile to build a Notebook image compatible with 1.11.0 Habana Version.  
+
+Currently supporting the support matrix:  
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html
+
+| Firmware                 | version          |
+| ------------------------ | ---------------- |
+| First-gen Gaudi Firmware | 1.2.3            |
+| Gaudi2 Firmware          | 1.11.0-fw-45.1.1 |
+
+
+| Python-package | version |
+| -------------- | ------- |
+| torch          | 2.0.1   |
+| tensorflow     | 2.12.1  |
+| pandas         | 1.5.3   |
+| numpy          | 1.23.5  |
+| scipy          | 1.10.1  |
+
+Reference:  
+https://github.com/HabanaAI/Setup_and_Install/tree/1.11.0
+
+
+For further documentation related to HabanaAI, please refer:  
+https://docs.habana.ai/en/v1.11.0/Gaudi_Overview/index.html
\ No newline at end of file
diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
new file mode 100644
index 000000000..6496fc772
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
@@ -0,0 +1,13 @@
+---
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namePrefix: habana-1-11-0-ubi8-python-3-8-
+commonLabels:
+  app: habana-1-11-0-ubi8-python-3-8
+resources:
+  - service.yaml
+  - statefulset.yaml
+images:
+  - name: quay.io/opendatahub/workbench-images
+    newName: quay.io/opendatahub/workbench-images
+    newTag: habana-1.11.0-ubi8-python-3.8-2023a_20230925
diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml
new file mode 100644
index 000000000..d6f7128e8
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/kustomize/base/service.yaml
@@ -0,0 +1,15 @@
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: notebook
+  labels:
+    app: notebook
+spec:
+  type: ClusterIP
+  ports:
+    - port: 8888
+      protocol: TCP
+      targetPort: notebook-port
+  selector:
+    app: notebook
diff --git a/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
new file mode 100644
index 000000000..a2b09a138
--- /dev/null
+++ b/habana/1.11.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
@@ -0,0 +1,58 @@
+---
+apiVersion: apps/v1
+kind: StatefulSet
+metadata:
+  name: notebook
+  annotations:
+    opendatahub.io/username: jovyan
+  labels:
+    opendatahub.io/user: jovyan
+spec:
+  replicas: 1
+  selector: {}
+  serviceName: notebook
+  template:
+    metadata:
+      labels: {}
+    spec:
+      containers:
+        - name: notebook
+          image: quay.io/opendatahub/workbench-images:habana-jupyter-1.11.0-ubi8-python-3.8
+          imagePullPolicy: Always
+          workingDir: /opt/app-root/src
+          env:
+            - name: NOTEBOOK_ARGS
+              value: |-
+                --ServerApp.port=8888
+                --ServerApp.token=''
+                --ServerApp.password=''
+                --ServerApp.base_url=/notebook/opendatahub/jovyan
+                --ServerApp.quit_button=False
+                --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
+          ports:
+            - name: notebook-port
+              protocol: TCP
+              containerPort: 8888
+          livenessProbe:
+            tcpSocket:
+              port: notebook-port
+            initialDelaySeconds: 5
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          readinessProbe:
+            httpGet:
+              path: /notebook/opendatahub/jovyan/api
+              port: notebook-port
+              scheme: HTTP
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          resources:
+            limits:
+              cpu: 500m
+              memory: 2Gi
+            requests:
+              cpu: 500m
+              memory: 2Gi
diff --git a/habana/1.9.0/ubi8-python-3.8/Dockerfile b/habana/1.9.0/ubi8-python-3.8/Dockerfile
new file mode 100644
index 000000000..90bb1b31f
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/Dockerfile
@@ -0,0 +1,152 @@
+# Copyright (c) 2022 Habana Labs, Ltd.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+# HabanaLabs Dockerfile base installer layer for RedHat 8.6
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.9.0/dockerfiles/Dockerfile_rhel8.6_base_installer
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+ARG ARTIFACTORY_URL="vault.habana.ai"
+ARG VERSION="1.9.0"
+ARG REVISION="580"
+ARG PT_VERSION="1.13.1"
+
+USER root
+
+RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=AppStream&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo
+
+
+RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "mirrorlist=http://mirrorlist.centos.org/?release=\$releasever-stream&arch=\$basearch&repo=BaseOS&infra=\$infra" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo
+
+RUN dnf install -y \
+    clang \
+    cmake3 \
+    cpp \
+    gcc \
+    gcc-c++ \
+    glibc \
+    glibc-headers \
+    glibc-devel \
+    jemalloc \
+    libarchive \
+    unzip \
+    llvm \
+    lsof \
+    python38-devel \
+    openssh-clients \
+    libjpeg-devel \
+    openssh-server \
+    redhat-lsb-core \
+    wget \
+    git \
+    mesa-libGL \
+    python3-dnf-plugin-versionlock && \
+    # update pkgs (except OS version) for resolving potentials CVEs
+    dnf versionlock add redhat-release* && \
+    dnf update -y && \
+    dnf clean all && rm -rf /var/cache/yum
+
+ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH
+ENV RDMAV_FORK_SAFE=1
+
+RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
+    echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \
+    echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo
+
+RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \
+    echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \
+    echo "baseurl=http://mirror.centos.org/centos/8-stream/PowerTools/x86_64/os/"  >> /etc/yum.repos.d/powertools.repo && \
+    echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo
+
+RUN dnf install -y habanalabs-thunk-"$VERSION"-"$REVISION".el8 \
+        habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \
+        habanalabs-graph-"$VERSION"-"$REVISION".el8 && \
+    rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \
+    dnf clean all && rm -rf /var/cache/yum
+
+# There is no need to store pip installation files inside docker image
+ENV PIP_NO_CACHE_DIR=on
+ENV PIP_DISABLE_PIP_VERSION_CHECK=1
+
+# Install python packages 
+# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}"
+# Install Python packages and Jupyterlab extensions from Pipfile.lock
+COPY Pipfile.lock ./
+
+RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
+
+RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc
+RUN export LANG=en_US.UTF-8
+ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
+ENV HABANA_LOGS=/var/log/habana_logs/
+ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw
+ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins
+
+## Install habana pytorch
+# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.9.0/dockerfiles/Dockerfile_rhel8.6_pytorch_installer 
+ENV LANG=en_US.UTF-8
+ENV PYTHONPATH=/root:/usr/lib/habanalabs/
+
+RUN dnf install -y \
+    curl \
+    cairo-devel \
+    numactl-devel \
+    iproute \
+    which \
+    zlib-devel \
+    lapack-devel \
+    openblas-devel \
+    numactl \
+    gperftools-devel && \
+    dnf clean all && rm -rf /var/cache/yum
+
+RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\
+/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
+    mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \
+    tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \
+    pip3 install /root/habanalabs/pytorch_temp/*.whl && \
+    pip3 install $(grep "pytorch-lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \
+    pip3 install -U habana-lightning-plugins=="${VERSION}"."${REVISION}.1" && \
+    /sbin/ldconfig && \
+    echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc && \
+    pip3 uninstall -y pillow && \
+    pip3 uninstall -y pillow-simd && \
+    pip3 install pillow-simd==7.0.0.post3 && \
+    rm -rf /root/habanalabs/pytorch_temp/ && \
+    rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz
+ENV LD_PRELOAD=/lib64/libtcmalloc.so.4
+ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768
+
+RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/*
+
+## Label the image with details required by ODH
+LABEL name="odh-notebook-habana-jupyter-1.9.0-ubi8-python-3.8" \
+    summary="Jupyter HabanaAI 1.9.0 notebook image for ODH notebooks" \
+    description="Jupyter HabanaAI 1.9.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    io.k8s.display-name="Jupyter HabanaAI 1.9.0 notebook image for ODH notebooks" \
+    io.k8s.description="Jupyter HabanaAI 1.9.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
+    authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
+    io.openshift.build.commit.ref="main" \
+    io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.9.0/ubi8-python-3.8" \
+    io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.9.0-ubi8-python-3.8"
+
+# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x
+RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
+    # Fix permissions to support pip in Openshift environments \
+    chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
+    fix-permissions /opt/app-root -P
+
+USER 1001
+
+WORKDIR /opt/app-root/src
\ No newline at end of file
diff --git a/habana/1.9.0/ubi8-python-3.8/Pipfile b/habana/1.9.0/ubi8-python-3.8/Pipfile
new file mode 100644
index 000000000..b62528de0
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/Pipfile
@@ -0,0 +1,58 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[dev-packages]
+
+[packages]
+# Habana requirements
+hpu_media_loader = "==1.9.0.580.1"
+
+# TensorFlow and useful extensions
+habana-tensorflow = "==1.9.0.580.1"
+tensorflow = "==2.11.0"
+tensorflow-io = "==0.27.0"
+tensorboard = "~=2.11.2"
+tf2onnx = "~= 1.13.0"
+
+# Below pkgs are required for pytorch-fork
+cffi = "==1.14.6"
+typing-extensions = ">=4.0.0"
+numpy = "==1.23.5"
+ninja = "==1.10.2"
+pyyaml = "==5.4.1"
+mkl = "==2022.0.2"
+mkl-include = "==2022.0.2"
+pybind11 = "==2.6.2"
+
+# Parent image requirements to maintain cohesion
+elyra-pipeline-editor-extension = "~=3.15.0"
+elyra-python-editor-extension = "~=3.15.0"
+elyra-code-snippet-extension = "~=3.15.0"
+kfp-tekton = "<1.6.0"
+boto3 = "~=1.26.69"
+jupyter-bokeh = "~=3.0.5"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.6.3"
+pandas = "~=1.5.3"
+plotly = "~=5.13.0"
+scikit-learn = "~=1.2.1"
+scipy = "~=1.10.0"
+jupyterlab-lsp = "~=3.10.2"
+jupyterlab-widgets = "~=3.0.5"
+jupyter-resource-usage = "~=0.6.0"
+
+# Parent image requirements to maintain cohesion
+jupyterlab = "~=3.5.3"
+jupyter-server = "~=2.1.0"
+jupyter-server-proxy = "~=3.2.2"
+jupyter-server-terminals = "~=0.4.4"
+jupyterlab-git = "~=0.41.0"
+nbdime = "~=3.1.1"
+nbgitpuller = "~=1.1.1"
+# ---
+wheel = "~=0.38.4"
+
+[requires]
+python_version = "3.8"
diff --git a/habana/1.9.0/ubi8-python-3.8/Pipfile.lock b/habana/1.9.0/ubi8-python-3.8/Pipfile.lock
new file mode 100644
index 000000000..8aec74ac3
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/Pipfile.lock
@@ -0,0 +1,3601 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "d6f63113e7a523cd7a0e08324db6bcdc88e222da1f17da41a5deb430dbdb4ba4"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.8"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "absl-py": {
+            "hashes": [
+                "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47",
+                "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==1.4.0"
+        },
+        "aiohttp": {
+            "hashes": [
+                "sha256:00ad4b6f185ec67f3e6562e8a1d2b69660be43070bd0ef6fcec5211154c7df67",
+                "sha256:0175d745d9e85c40dcc51c8f88c74bfbaef9e7afeeeb9d03c37977270303064c",
+                "sha256:01d4c0c874aa4ddfb8098e85d10b5e875a70adc63db91f1ae65a4b04d3344cda",
+                "sha256:043d2299f6dfdc92f0ac5e995dfc56668e1587cea7f9aa9d8a78a1b6554e5755",
+                "sha256:0c413c633d0512df4dc7fd2373ec06cc6a815b7b6d6c2f208ada7e9e93a5061d",
+                "sha256:0d21c684808288a98914e5aaf2a7c6a3179d4df11d249799c32d1808e79503b5",
+                "sha256:0e584a10f204a617d71d359fe383406305a4b595b333721fa50b867b4a0a1548",
+                "sha256:1274477e4c71ce8cfe6c1ec2f806d57c015ebf84d83373676036e256bc55d690",
+                "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84",
+                "sha256:153c2549f6c004d2754cc60603d4668899c9895b8a89397444a9c4efa282aaf4",
+                "sha256:1f7372f7341fcc16f57b2caded43e81ddd18df53320b6f9f042acad41f8e049a",
+                "sha256:23fb25a9f0a1ca1f24c0a371523546366bb642397c94ab45ad3aedf2941cec6a",
+                "sha256:28c543e54710d6158fc6f439296c7865b29e0b616629767e685a7185fab4a6b9",
+                "sha256:2a482e6da906d5e6e653be079b29bc173a48e381600161c9932d89dfae5942ef",
+                "sha256:2ad5c3c4590bb3cc28b4382f031f3783f25ec223557124c68754a2231d989e2b",
+                "sha256:2ce2ac5708501afc4847221a521f7e4b245abf5178cf5ddae9d5b3856ddb2f3a",
+                "sha256:2cf57fb50be5f52bda004b8893e63b48530ed9f0d6c96c84620dc92fe3cd9b9d",
+                "sha256:2e1b1e51b0774408f091d268648e3d57f7260c1682e7d3a63cb00d22d71bb945",
+                "sha256:2e2e9839e14dd5308ee773c97115f1e0a1cb1d75cbeeee9f33824fa5144c7634",
+                "sha256:2e460be6978fc24e3df83193dc0cc4de46c9909ed92dd47d349a452ef49325b7",
+                "sha256:312fcfbacc7880a8da0ae8b6abc6cc7d752e9caa0051a53d217a650b25e9a691",
+                "sha256:33279701c04351a2914e1100b62b2a7fdb9a25995c4a104259f9a5ead7ed4802",
+                "sha256:33776e945d89b29251b33a7e7d006ce86447b2cfd66db5e5ded4e5cd0340585c",
+                "sha256:34dd0c107799dcbbf7d48b53be761a013c0adf5571bf50c4ecad5643fe9cfcd0",
+                "sha256:3562b06567c06439d8b447037bb655ef69786c590b1de86c7ab81efe1c9c15d8",
+                "sha256:368a42363c4d70ab52c2c6420a57f190ed3dfaca6a1b19afda8165ee16416a82",
+                "sha256:4149d34c32f9638f38f544b3977a4c24052042affa895352d3636fa8bffd030a",
+                "sha256:461908b2578955045efde733719d62f2b649c404189a09a632d245b445c9c975",
+                "sha256:4a01951fabc4ce26ab791da5f3f24dca6d9a6f24121746eb19756416ff2d881b",
+                "sha256:4e874cbf8caf8959d2adf572a78bba17cb0e9d7e51bb83d86a3697b686a0ab4d",
+                "sha256:4f21e83f355643c345177a5d1d8079f9f28b5133bcd154193b799d380331d5d3",
+                "sha256:5443910d662db951b2e58eb70b0fbe6b6e2ae613477129a5805d0b66c54b6cb7",
+                "sha256:5798a9aad1879f626589f3df0f8b79b3608a92e9beab10e5fda02c8a2c60db2e",
+                "sha256:5d20003b635fc6ae3f96d7260281dfaf1894fc3aa24d1888a9b2628e97c241e5",
+                "sha256:5db3a5b833764280ed7618393832e0853e40f3d3e9aa128ac0ba0f8278d08649",
+                "sha256:5ed1c46fb119f1b59304b5ec89f834f07124cd23ae5b74288e364477641060ff",
+                "sha256:62360cb771707cb70a6fd114b9871d20d7dd2163a0feafe43fd115cfe4fe845e",
+                "sha256:6809a00deaf3810e38c628e9a33271892f815b853605a936e2e9e5129762356c",
+                "sha256:68c5a82c8779bdfc6367c967a4a1b2aa52cd3595388bf5961a62158ee8a59e22",
+                "sha256:6e4a280e4b975a2e7745573e3fc9c9ba0d1194a3738ce1cbaa80626cc9b4f4df",
+                "sha256:6e6783bcc45f397fdebc118d772103d751b54cddf5b60fbcc958382d7dd64f3e",
+                "sha256:72a860c215e26192379f57cae5ab12b168b75db8271f111019509a1196dfc780",
+                "sha256:7607ec3ce4993464368505888af5beb446845a014bc676d349efec0e05085905",
+                "sha256:773dd01706d4db536335fcfae6ea2440a70ceb03dd3e7378f3e815b03c97ab51",
+                "sha256:78d847e4cde6ecc19125ccbc9bfac4a7ab37c234dd88fbb3c5c524e8e14da543",
+                "sha256:7dde0009408969a43b04c16cbbe252c4f5ef4574ac226bc8815cd7342d2028b6",
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+            "version": "==2.5.0"
+        },
+        "zipp": {
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+            "markers": "python_version >= '3.8'",
+            "version": "==3.17.0"
+        }
+    },
+    "develop": {}
+}
diff --git a/habana/1.9.0/ubi8-python-3.8/README.md b/habana/1.9.0/ubi8-python-3.8/README.md
new file mode 100644
index 000000000..dc36235a3
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/README.md
@@ -0,0 +1,27 @@
+# Habana Notebook Image
+This directory contains the Dockerfile to build a Notebook image compatible with 1.9.0 Habana Version.  
+
+Currently supporting the support matrix:  
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.9.0.html   
+
+
+| Firmware                 | version         |
+| ------------------------ | --------------- |
+| First-gen Gaudi Firmware | 1.2.3           |
+| Gaudi2 Firmware          | 1.9.0-fw-42.0.1 |
+
+
+| Python-package | version |
+| -------------- | ------- |
+| torch          | 1.13.1  |
+| tensorflow     | 2.11.0  |
+| pandas         | 1.5.3   |
+| numpy          | 1.23.5  |
+| scipy          | 1.10.1  |
+
+Reference:  
+https://github.com/HabanaAI/Setup_and_Install/tree/1.9.0  
+
+
+For further documentation related to HabanaAI, please refer:  
+https://docs.habana.ai/en/v1.9.0/Gaudi_Overview/index.html 
\ No newline at end of file
diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
new file mode 100644
index 000000000..2c61b5edb
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
@@ -0,0 +1,13 @@
+---
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+namePrefix: habana-1-9-0-ubi8-python-3-8-
+commonLabels:
+  app: habana-1-9-0-ubi8-python-3-8
+resources:
+  - service.yaml
+  - statefulset.yaml
+images:
+  - name: quay.io/opendatahub/workbench-images
+    newName: quay.io/opendatahub/workbench-images
+    newTag: habana-1.9.0-ubi8-python-3.8-2023a_20230925
diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml
new file mode 100644
index 000000000..d6f7128e8
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/kustomize/base/service.yaml
@@ -0,0 +1,15 @@
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: notebook
+  labels:
+    app: notebook
+spec:
+  type: ClusterIP
+  ports:
+    - port: 8888
+      protocol: TCP
+      targetPort: notebook-port
+  selector:
+    app: notebook
diff --git a/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
new file mode 100644
index 000000000..8c3bdea0c
--- /dev/null
+++ b/habana/1.9.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
@@ -0,0 +1,58 @@
+---
+apiVersion: apps/v1
+kind: StatefulSet
+metadata:
+  name: notebook
+  annotations:
+    opendatahub.io/username: jovyan
+  labels:
+    opendatahub.io/user: jovyan
+spec:
+  replicas: 1
+  selector: {}
+  serviceName: notebook
+  template:
+    metadata:
+      labels: {}
+    spec:
+      containers:
+        - name: notebook
+          image: quay.io/opendatahub/workbench-images:habana-jupyter-1.9.0-ubi8-python-3.8
+          imagePullPolicy: Always
+          workingDir: /opt/app-root/src
+          env:
+            - name: NOTEBOOK_ARGS
+              value: |-
+                --ServerApp.port=8888
+                --ServerApp.token=''
+                --ServerApp.password=''
+                --ServerApp.base_url=/notebook/opendatahub/jovyan
+                --ServerApp.quit_button=False
+                --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
+          ports:
+            - name: notebook-port
+              protocol: TCP
+              containerPort: 8888
+          livenessProbe:
+            tcpSocket:
+              port: notebook-port
+            initialDelaySeconds: 5
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          readinessProbe:
+            httpGet:
+              path: /notebook/opendatahub/jovyan/api
+              port: notebook-port
+              scheme: HTTP
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            successThreshold: 1
+            failureThreshold: 3
+          resources:
+            limits:
+              cpu: 500m
+              memory: 2Gi
+            requests:
+              cpu: 500m
+              memory: 2Gi
diff --git a/habana/README.md b/habana/README.md
new file mode 100644
index 000000000..a82797b71
--- /dev/null
+++ b/habana/README.md
@@ -0,0 +1,26 @@
+# Habana Notebook Image
+This directory contains the Dockerfiles to build Notebook images compatible with HabanaAI Gaudi Devices.  
+
+Currently supporting the support matrix:  
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.9.0.html   
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.10.0.html   
+https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html  
+
+
+### Setup Habana AI on Openshift.  
+
+The device on AWS with machine `dl1.24xlarge` has habana fireware.  
+With documentation for [OpenShift Enviornment](https://docs.habana.ai/en/latest/Orchestration/HabanaAI_Operator/index.html?highlight=openshift).  
+
+
+### Reference  
+
+https://github.com/HabanaAI/Setup_and_Install/tree/1.9.0  
+https://github.com/HabanaAI/Setup_and_Install/tree/1.10.0  
+https://github.com/HabanaAI/Setup_and_Install/tree/1.11.0  
+
+
+For further documentation related to HabanaAI, please refer:  
+https://docs.habana.ai/en/v1.9.0/Gaudi_Overview/index.html   
+https://docs.habana.ai/en/v1.10.0/Gaudi_Overview/index.html  
+https://docs.habana.ai/en/v1.11.0/Gaudi_Overview/index.html  

From cdf110b54911d54bceaba0f789a1837f1ee127be Mon Sep 17 00:00:00 2001
From: atheo89 <atheodorak@outlook.com>
Date: Fri, 29 Sep 2023 13:13:59 +0200
Subject: [PATCH 4/5] Intergrade test notebook case for both ubi8 and ubi9
 different flavors of the notebooks

---
 Makefile | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 47 insertions(+), 7 deletions(-)

diff --git a/Makefile b/Makefile
index fc174633c..193c7b8d9 100644
--- a/Makefile
+++ b/Makefile
@@ -310,17 +310,57 @@ undeploy-c9s-%-c9s-python-3.9: bin/kubectl
 	$(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
 	$(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
 
-# Check if the notebook is ready by pinging the /api endpoint
+# Verify the notebook's readiness by pinging the /api endpoint and executing the corresponding test_notebook.ipynb file in accordance with the build chain logic.
 .PHONY: test
 test-%: bin/kubectl
 	$(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*)))
 	$(info # Running tests for $(NOTEBOOK_NAME) notebook...)
-	$(KUBECTL_BIN) wait --for=condition=ready pod -l app=$(NOTEBOOK_NAME) --timeout=600s
-	$(KUBECTL_BIN) port-forward svc/$(NOTEBOOK_NAME)-notebook 8888:8888 &
-	curl --retry 5 --retry-delay 5 --retry-connrefused \
-		http://localhost:8888/notebook/opendatahub/jovyan/api; EXIT_CODE=$$?; echo && \
-	pkill --full "^$(KUBECTL_BIN).*port-forward.*"; \
-	exit $${EXIT_CODE}
+	$(KUBECTL_BIN) wait --for=condition=ready pod -l app=$(NOTEBOOK_NAME) --timeout=300s
+	$(KUBECTL_BIN) port-forward svc/$(NOTEBOOK_NAME)-notebook 8888:8888 & curl --retry 5 --retry-delay 5 --retry-connrefused http://localhost:8888/notebook/opendatahub/jovyan/api ; EXIT_CODE=$$?; echo && pkill --full "^$(KUBECTL_BIN).*port-forward.*"; \
+	$(eval FULL_NOTEBOOK_NAME = $(shell ($(KUBECTL_BIN) get pods -l app=$(NOTEBOOK_NAME) -o custom-columns=":metadata.name" | tr -d '\n')))
+	echo "=> Checking $(FULL_NOTEBOOK_NAME) notebook execution..." ; \
+	$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "python3 -m pip install papermill" ; \
+	if echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi9"; then \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/minimal/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb minimal_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi9"; then \
+		$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "pytorch-ubi9"; then \
+		$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/pytorch/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb pytorch_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "tensorflow-ubi9"; then \
+		$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb tensorflow_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "trustyai-ubi9"; then \
+		$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb trustyai_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi8"; then \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/minimal/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb minimal_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi8"; then \
+		$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "pytorch-ubi8"; then \
+		$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/pytorch/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb pytorch_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "tensorflow-ubi8"; then \
+		$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/tensorflow/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb tensorflow_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "trustyai-ubi8"; then \
+		$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
+		$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb trustyai_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
+	elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "anaconda"; then \
+		echo "There is no test notebook implemented yet for Anaconda Notebook...." ; \
+	else \
+		echo "No matching condition found for $(FULL_NOTEBOOK_NAME)." ; \
+	fi
+
+.PHONY: validate-ubi9-datascience
+validate-ubi9-datascience:
+	$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/minimal/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb minimal_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+	$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/datascience/ubi9-python-3.9/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb datascience_ubi9_output.ipynb --kernel python3 > /dev/null" ; \
+
+.PHONY: validate-ubi8-datascience
+validate-ubi8-datascience:
+	$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/minimal/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb minimal_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
+	$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/datascience/ubi8-python-3.8/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb datascience_ubi8_output.ipynb --kernel python3 > /dev/null" ; \
 
 # Validate that runtime image meets minimum criteria
 # This validation is created from subset of https://github.com/elyra-ai/elyra/blob/9c417d2adc9d9f972de5f98fd37f6945e0357ab9/Makefile#L325

From e570c4c62ec56c7899ecf230874d7c30ce4fda1e Mon Sep 17 00:00:00 2001
From: Harshad Reddy Nalla <hnalla@redhat.com>
Date: Tue, 3 Oct 2023 08:42:22 -0400
Subject: [PATCH 5/5] Included habana based imagestream to the notebook
 manifests

Signed-off-by: Harshad Reddy Nalla <hnalla@redhat.com>
---
 habana/README.md                              |  6 +++
 .../jupyter-habana-notebook-imagestream.yaml  | 38 +++++++++++++++++++
 manifests/base/kustomization.yaml             | 15 ++++++++
 manifests/base/params.env                     |  2 +
 manifests/base/params.yaml                    |  9 ++++-
 .../code-server-notebook-imagestream.yaml     |  2 +-
 .../rstudio-gpu-notebook-imagestream.yaml     |  2 +-
 .../rstudio-notebook-imagestream.yaml         |  2 +-
 8 files changed, 72 insertions(+), 4 deletions(-)
 create mode 100644 manifests/base/jupyter-habana-notebook-imagestream.yaml

diff --git a/habana/README.md b/habana/README.md
index a82797b71..bd8ccf5e0 100644
--- a/habana/README.md
+++ b/habana/README.md
@@ -13,6 +13,12 @@ The device on AWS with machine `dl1.24xlarge` has habana fireware.
 With documentation for [OpenShift Enviornment](https://docs.habana.ai/en/latest/Orchestration/HabanaAI_Operator/index.html?highlight=openshift).  
 
 
+### Utilize with OpenDatahub
+
+User can use the Habana base notebook image with OpenDatahub, 
+With the [notebook manifests](../manifests/base/jupyter-habana-notebook-imagestream.yaml),  
+user can include the habanaAI compatible image directly to Opendatahub.
+
 ### Reference  
 
 https://github.com/HabanaAI/Setup_and_Install/tree/1.9.0  
diff --git a/manifests/base/jupyter-habana-notebook-imagestream.yaml b/manifests/base/jupyter-habana-notebook-imagestream.yaml
new file mode 100644
index 000000000..f828eedc5
--- /dev/null
+++ b/manifests/base/jupyter-habana-notebook-imagestream.yaml
@@ -0,0 +1,38 @@
+apiVersion: image.openshift.io/v1
+kind: ImageStream
+metadata:
+  labels:
+    opendatahub.io/notebook-image: "true"
+  annotations:
+    opendatahub.io/notebook-image-url: "https://github.com//opendatahub-io/notebooks/tree/main/habana"
+    opendatahub.io/notebook-image-name: "HabanaAI"
+    opendatahub.io/notebook-image-desc: "Jupyter notebook image with a set of habana libraries that advanced AI/ML notebooks will use as a base image to provide a standard for libraries avialable in all notebooks"
+    opendatahub.io/notebook-image-order: "7"
+    opendatahub.io/recommended-accelerators: '["habana.ai/gaudi"]'
+  name: jupyter-habana-notebook
+spec:
+  lookupPolicy:
+    local: true
+  tags:
+  # 1.11.0 Version of the image n
+  - annotations:
+      opendatahub.io/notebook-software: '[{"name":"Python","version":"v3.8"},{"name":"Habana","version":"1.11"}]'
+      opendatahub.io/notebook-python-dependencies: '[{"name":"Boto3","version":"1.26"},{"name":"Kafka-Python","version":"2.0"},{"name":"Kfp-tekton","version":"1.5"},{"name":"Matplotlib","version":"3.6"},{"name":"Numpy","version":"1.23"},{"name":"Pandas","version":"1.5"},{"name":"Scikit-learn","version":"1.2"},{"name":"Scipy","version":"1.10"},{"name":"Tensorflow","version":"2.12.1"},{"name":"PyTorch","version":"2.0.1"},{"name":"Elyra","version":"3.15"}]'
+      openshift.io/imported-from: quay.io/opendatahub/workbench-images
+    from:
+      kind: DockerImage
+      name: $(odh-habana-notebook-image-n)
+    name: "2023.2"
+    referencePolicy:
+      type: Source
+  # 1.10.0 Version of the image n-1
+  - annotations:
+      opendatahub.io/notebook-software: '[{"name":"Python","version":"v3.8"},{"name":"Habana","version":"1.10"}]'
+      opendatahub.io/notebook-python-dependencies: '[{"name":"Boto3","version":"1.26"},{"name":"Kafka-Python","version":"2.0"},{"name":"Kfp-tekton","version":"1.5"},{"name":"Matplotlib","version":"3.6"},{"name":"Numpy","version":"1.23"},{"name":"Pandas","version":"1.5"},{"name":"Scikit-learn","version":"1.2"},{"name":"Scipy","version":"1.10"},{"name":"Tensorflow","version":"2.12.0"},{"name":"PyTorch","version":"2.0.1"},{"name":"Elyra","version":"3.15"}]'
+      openshift.io/imported-from: quay.io/opendatahub/workbench-images
+    from:
+      kind: DockerImage
+      name: $(odh-habana-notebook-image-n-1)
+    name: "2023.1"
+    referencePolicy:
+      type: Source
diff --git a/manifests/base/kustomization.yaml b/manifests/base/kustomization.yaml
index b37a69216..afa95bb93 100644
--- a/manifests/base/kustomization.yaml
+++ b/manifests/base/kustomization.yaml
@@ -7,6 +7,7 @@ resources:
 - jupyter-pytorch-notebook-imagestream.yaml
 - jupyter-tensorflow-notebook-imagestream.yaml
 - jupyter-trustyai-notebook-imagestream.yaml
+- jupyter-habana-notebook-imagestream.yaml
 
 commonLabels:
   opendatahub.io/component: "true"
@@ -95,6 +96,20 @@ vars:
       apiVersion: v1
     fieldref:
       fieldpath: data.odh-trustyai-notebook-image-n
+  - name: odh-habana-notebook-image-n
+    objref:
+      kind: ConfigMap
+      name: notebooks-parameters
+      apiVersion: v1
+    fieldref:
+      fieldpath: data.odh-habana-notebook-image-n
+  - name: odh-habana-notebook-image-n-1
+    objref:
+      kind: ConfigMap
+      name: notebooks-parameters
+      apiVersion: v1
+    fieldref:
+      fieldpath: data.odh-habana-notebook-image-n-1
 configurations:
   - params.yaml
 
diff --git a/manifests/base/params.env b/manifests/base/params.env
index c92cec1d8..a162b95ce 100644
--- a/manifests/base/params.env
+++ b/manifests/base/params.env
@@ -9,3 +9,5 @@ odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256
 odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:e1092904418c1366704feccfdadcaee808bc4c94d78abc515724b2cf25c242c5
 odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/notebooks@sha256:fc52e4fbc8c1c70dfa22dbfe6b0353f5165c507c125df4438fca6a3f31fe976e
 odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:326af53ec96cd1a4897f0add69db5edb1e4e60428d83fa3ee60347424374b4d8
+odh-habana-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:901001f289a248f9e1cf46021efd5c0601bdeadde1e89e79112083d30600d07a
+odh-habana-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:b0821ae2abe45387a371108ac08e7474b64255e5c4519de5da594b4617fd79fe
diff --git a/manifests/base/params.yaml b/manifests/base/params.yaml
index b2c1dbac0..f1001a329 100644
--- a/manifests/base/params.yaml
+++ b/manifests/base/params.yaml
@@ -43,4 +43,11 @@ varReference:
   kind: ImageStream
   apiGroup: image.openshift.io/v1
   name: odh-trustyai-notebook-image-n
-
+- path: spec/tags[]/from/name
+  kind: ImageStream
+  apiGroup: image.openshift.io/v1
+  name: odh-habana-notebook-image-n
+- path: spec/tags[]/from/name
+  kind: ImageStream
+  apiGroup: image.openshift.io/v1
+  name: odh-habana-notebook-image-n-1
diff --git a/manifests/overlays/additional/code-server-notebook-imagestream.yaml b/manifests/overlays/additional/code-server-notebook-imagestream.yaml
index b61ba614d..961d953a6 100644
--- a/manifests/overlays/additional/code-server-notebook-imagestream.yaml
+++ b/manifests/overlays/additional/code-server-notebook-imagestream.yaml
@@ -7,7 +7,7 @@ metadata:
     opendatahub.io/notebook-image-url: "https://github.com/opendatahub-io/notebooks/tree/main/codeserver"
     opendatahub.io/notebook-image-name: "Code Server"
     opendatahub.io/notebook-image-desc: "Code Server workbench image, allows to run Visual Studio Code (VSCode) on a remote server through the browser."
-    opendatahub.io/notebook-image-order: "7"
+    opendatahub.io/notebook-image-order: "8"
   name: code-server-notebook
 spec:
   lookupPolicy:
diff --git a/manifests/overlays/additional/rstudio-gpu-notebook-imagestream.yaml b/manifests/overlays/additional/rstudio-gpu-notebook-imagestream.yaml
index 545903bc7..d49436c23 100644
--- a/manifests/overlays/additional/rstudio-gpu-notebook-imagestream.yaml
+++ b/manifests/overlays/additional/rstudio-gpu-notebook-imagestream.yaml
@@ -7,7 +7,7 @@ metadata:
     opendatahub.io/notebook-image-url: "https://github.com/opendatahub-io/notebooks/tree/main/rstudio"
     opendatahub.io/notebook-image-name: "CUDA - R Studio"
     opendatahub.io/notebook-image-desc: "R Studio workbench image, allows to integrated development environment for R, a programming language for statistical computing and graphics."
-    opendatahub.io/notebook-image-order: "9"
+    opendatahub.io/notebook-image-order: "10"
     opendatahub.io/recommended-accelerators: '["nvidia.com/gpu"]'
   name: rstudio-gpu-notebook
 spec:
diff --git a/manifests/overlays/additional/rstudio-notebook-imagestream.yaml b/manifests/overlays/additional/rstudio-notebook-imagestream.yaml
index e1e00e032..6a3a31bea 100644
--- a/manifests/overlays/additional/rstudio-notebook-imagestream.yaml
+++ b/manifests/overlays/additional/rstudio-notebook-imagestream.yaml
@@ -7,7 +7,7 @@ metadata:
     opendatahub.io/notebook-image-url: "https://github.com/opendatahub-io/notebooks/tree/main/rstudio"
     opendatahub.io/notebook-image-name: "R Studio"
     opendatahub.io/notebook-image-desc: "R Studio workbench image, allows to integrated development environment for R, a programming language for statistical computing and graphics."
-    opendatahub.io/notebook-image-order: "8"
+    opendatahub.io/notebook-image-order: "9"
   name: rstudio-notebook
 spec:
   lookupPolicy: