merging 5231/5238/5244/5245 to prod

.github/ISSUE_TEMPLATE/performance_issue.yml

@@ -10,10 +10,14 @@ body:
     attributes:
       value: |
         Please refer to the commmon causes for the performance issues by referring to this documentation - https://ds-modules.github.io/curriculum-guide/workflow/performance_issue.html. If the above mentioned reasons are not the cause for the performance issues in the hub then or you lack clarity about the issue then  please do raise a request by filling the details below:
-  - type: input
+  - type: dropdown
     attributes:
-      label: Your Name
-      description:
+      label: Your Role
+      description: Mention your affiliation to the course
+      options:
+      - Instructor
+      - GSI/TA
+      - Student
     validations:
       required: true
   - type: input
@@ -56,6 +60,23 @@ body:
       description: Total number of students affected by this issue
     validations:
       required: true
+  - type: dropdown
+    attributes:
+      label: Severity of the Issue
+      description: Critical, High Priority, Medium Priority and Low Priority
+      options:
+      - Critical
+      - High Priority
+      - Medium Priority
+      - Low Priority
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Issue timeline
+      description: Mention the date/time when this issue occured
+    validations:
+      required: true
   - type: textarea
     attributes:
       label: Snapshots of issue
@@ -64,7 +85,7 @@ body:
       required: true
   - type: markdown
     attributes:
-      value: "Please share the calnet id of the affected students in the UCTech Slack channel (UCTech.slack.com). Slack Shane Knapp, Jonathan Felder and Balaji Alwar with 1/2 calnet id of the affected students"
+      value: "Please share the calnet id of 2/3 affected students in the #datahubs channel in UCTech Slack (UCTech.slack.com)"
   - type: textarea
     attributes:
       label: Additional comments

deployments/data100/image/environment.yml

@@ -33,6 +33,7 @@ dependencies:
 - statsmodels==0.14.0
 - tensorflow-cpu==2.12.1
 - sqlalchemy==2.0.16
+- mlxtend==0.23.0
 - pip
 - pip:
   # - -r infra-requirements.txt

deployments/datahub/images/default/environment.yml

@@ -251,7 +251,7 @@ dependencies:
   - ipycanvas==0.9.0
 
   # data100 scientific packages
-  - ray==1.13.*
+  - ray==2.8.0
   - xlrd==2.0.1
 
   # data100 visualization

deployments/julia/image/install-julia.bash

@@ -1,4 +1,11 @@
 #!/usr/bin/env bash
 set -euo pipefail
 
-curl --silent --location --fail https://julialang-s3.julialang.org/bin/linux/x64/1.6/julia-1.6.7-linux-x86_64.tar.gz | tar xvz -C ${JULIA_DIR} --strip-components=1
+JULIA_MAJOR_VERSION="1"
+JULIA_MINOR_VERSION="9"
+JULIA_PATCH_VERSION="2"
+
+JULIA_MAIN_VERSION="${JULIA_MAJOR_VERSION}.${JULIA_MINOR_VERSION}"
+JULIA_FULL_VERSION="${JULIA_MAIN_VERSION}.${JULIA_PATCH_VERSION}"
+
+curl --silent --location --fail https://julialang-s3.julialang.org/bin/linux/x64/${JULIA_MAIN_VERSION}/julia-${JULIA_FULL_VERSION}-linux-x86_64.tar.gz | tar xvz -C ${JULIA_DIR} --strip-components=1