- 1251 Views
- 2 replies
- 0 kudos
Unity Catalog table management with multiple teams members
Hi! How are you guys managing large teams working on the same project. Each member has their own data to save in Unity Catalog.Based on my understanding there is only two ways to manage this:1) Create an individual member schea so they can store thei...
- 1251 Views
- 2 replies
- 0 kudos
- 0 kudos
Any suggestions regarding this?@s_park , @Sujitha , @Debayan
- 0 kudos
- 597 Views
- 0 replies
- 0 kudos
404 Page Not Found Error on Features page
We are facing this issue when accessing Features page. Our workspace is on AWS, ap-southeast-1.I think this is related to new feature for online tables and serverless. Is it because of online tables are not available yet in our region? If it not avai...
- 597 Views
- 0 replies
- 0 kudos
- 3268 Views
- 5 replies
- 1 kudos
Resolved! Endpoint performance questions
Hi! Had really interesting results from some endpoint performance tests I did. I set up the non-optimized endpoint with zero-cluster scaling and optimized had this feature disabled.1) Why does the non-optimized endpoint have variable response time fo...
- 3268 Views
- 5 replies
- 1 kudos
- 1 kudos
Answering Q1: 1) The variable response time is due to the first endpoint response time requiring ~180 seconds to scale to 1 cluster from 02) Can i change zero scale time from the preset 30 min?
- 1 kudos
- 984 Views
- 0 replies
- 0 kudos
Serving a custom transformer class via a pyfunc wrapper for a pyspark recommendation model
I am trying to serve an ALS pyspark model with a custom transformer(for generating user-specific recommendations) via a pyfunc wrapper. Although I can successfully score the logged model, the serving endpoint is throwing the following error.URI '/mod...
- 984 Views
- 0 replies
- 0 kudos
- 19687 Views
- 25 replies
- 0 kudos
Problem when serving a langchain model on Databricks
I´m trying to model serving a LLM LangChain Model and every time it fails with this messsage:[6b6448zjll] [2024-02-06 14:09:55 +0000] [1146] [INFO] Booting worker with pid: 1146[6b6448zjll] An error occurred while loading the model. You haven't confi...
- 19687 Views
- 25 replies
- 0 kudos
- 0 kudos
Hi @DataWrangler and Team.I got to solve the initial problem from some tips you gave. I used your code as base and did some modifications adapted to what I have, I mean , No UC enabled and not able to use DatabricksEmbeddings, DatabricksVectorSearch ...
- 0 kudos
- 8265 Views
- 2 replies
- 2 kudos
Resolved! Running multiple linear regressions in parallel (speeding up for loop)
Hi, I am running several linear regressions on my dataframe, in which I run a regression for every unique value in the column "item" , apply the model to a new dataset (vector_new), and at the end union the results as the loop runs. The problem is th...
- 8265 Views
- 2 replies
- 2 kudos
- 2 kudos
@Marcela Bejarano​ :One approach to speed up the process is to avoid using a loop and instead use Spark's groupBy and map functions. Here is an example:from pyspark.ml import Pipeline from pyspark.ml.feature import VectorAssembler from pyspark.ml.reg...
- 2 kudos
- 1223 Views
- 1 replies
- 0 kudos
Copy Into command to copy into delta table with predefined schema and csv file has no headers
How do i use copy into command to load 200+ tables with 50+ columns into a delta lake table with predefined schema. I am looking for a more generic approach to be handled in pyspark code.I am aware that we can pass the column expression into the sele...
- 1223 Views
- 1 replies
- 0 kudos
- 0 kudos
Does your source data have same number of columns as your target Delta tables? In that case, you can do it this way:COPY INTO my_pipe_dataFROM 's3://my-bucket/pipeData'FILEFORMAT = CSVFORMAT_OPTIONS ('mergeSchema' = 'true','delimiter' = '|','header' ...
- 0 kudos
- 3823 Views
- 2 replies
- 0 kudos
Resolved! How do I use the Copy Into command to copy data into a Delta Table? Looking for examples where you want to have a pre-defined schema
I've reviewed the COPY INTO docs here - https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-copy-into.html#examples but there's only one simple example. Looking for some additional examples that show loading data from CSV - with ...
- 3823 Views
- 2 replies
- 0 kudos
- 0 kudos
Here's an example for predefined schemaUsing COPY INTO with a predefined table schema – Trick here is to CAST the CSV dataset into your desired schema in the select statement of COPY INTO. Example below%sql CREATE OR REPLACE TABLE copy_into_bronze_te...
- 0 kudos
- 4342 Views
- 1 replies
- 0 kudos
How to download a pytorch model created via notebook and saved in a folder ?
I have created a pytorch model using databricks notebooks and saved it in a folder in workspace. MLFlow is not used.When I try to download the files from the folder it exceeds the download limit. Is there a way to download the model locally into my s...
- 4342 Views
- 1 replies
- 0 kudos
- 0 kudos
- 0 kudos
- 2851 Views
- 1 replies
- 0 kudos
Resolved! Query ML Endpoint with R and Curl
I am trying to get a prediction by querying the ML Endpoint on Azure Databricks with R. I'm not sure what is the format of the expected data. Is there any other problem with this code? Thanks!!!
- 2851 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi Kaniz, I was able to find the solution. You should post this in the examples when you click "Query Endpoint"You only have code for Browser, Curl, Python, SQL. You should add a tab for RHere is the solution:library(httr)url <- "https://adb-********...
- 0 kudos
- 1862 Views
- 1 replies
- 0 kudos
Security Controls to implement on Machine Learning Persona
Hello,Hope everyone are doing well. You may be aware that we are using Table ACL enabled cluster to ensure the adequate security controls on Databricks. You may be also aware that we can not use Table enabled ACL cluster on Machine Learning Persona. ...
- 1862 Views
- 1 replies
- 0 kudos
- 0 kudos
- 0 kudos
- 1486 Views
- 0 replies
- 0 kudos
DBR CLI v0.216.0 failed to pass bundle variable for notebook task
After installing the new version of the CLI (v0.216.0) the bundle variable for the notebook task is not parsed correctly, see code below:tasks: - task_key: notebook_task job_cluster_key: job_cluster notebook_task: ...
- 1486 Views
- 0 replies
- 0 kudos
- 1969 Views
- 0 replies
- 1 kudos
MLflow Experiments in Unity Catalog
Will MLflow Experiments be incorporated into Unity Catalog similar to models and feature tables? I feel like this is the final piece missing in a comprehensive Unity Catalog backed MLOps workflow. Currently it seems they can only be stored in a dbfs ...
- 1969 Views
- 0 replies
- 1 kudos
- 4112 Views
- 1 replies
- 0 kudos
pdb debugger on databricks
I am new to databricks. and trying to debug my python application with variable-explore by following the instruction from: https://www.databricks.com/blog/new-debugging-features-databricks-notebooks-variable-explorerI added the "import pdb" in the fi...
- 4112 Views
- 1 replies
- 0 kudos
- 0 kudos
I test with some simple applications, it works as you described. However, the application I am debugging uses the pyspark structured streaming, which runs continuously. After inserting pdb.set_trace(), the application paused at the breakpoint, but t...
- 0 kudos
- 6867 Views
- 1 replies
- 0 kudos
Optimizing for Recall in Azure AutoML UI
Hi all, I've been using Azure AutoML and noticed that I can choose 'recall' as my optimization metric in the notebook but not in the Azure AutoML UI. The Databricks documentation also doesn't list 'recall' as an optimization metric.Is there a reason ...
- 6867 Views
- 1 replies
- 0 kudos
- 0 kudos
On the databricks notebook itself, I can see that databricks.automl supports using recall as a primary metric Help on function classify in module databricks.automl: :param primary_metric: primary metric to select the best model. Each trial will...
- 0 kudos
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
Request a New Group-
Academy
1 -
Access
4 -
Access control
3 -
Access Data
2 -
AccessKeyVault
1 -
Account
4 -
ADB
2 -
Adf
1 -
ADLS
2 -
AI Summit
4 -
Airflow
1 -
Amazon
2 -
Apache
1 -
Apache spark
3 -
API
5 -
APILimit
1 -
Artifacts
1 -
Audit
1 -
Autoloader
6 -
Autologging
2 -
Automation
2 -
Automl
24 -
AWS
7 -
Aws databricks
1 -
Aws s3
2 -
AWSSagemaker
1 -
Azure
32 -
Azure active directory
1 -
Azure blob storage
2 -
Azure data factory
1 -
Azure data lake
1 -
Azure Data Lake Storage
3 -
Azure data lake store
1 -
Azure databricks
32 -
Azure DevOps
2 -
Azure event hub
1 -
Azure key vault
1 -
Azure sql database
1 -
Azure Storage
2 -
Azure synapse
1 -
Azure Unity Catalog
1 -
Azure vm
1 -
AzureML
2 -
Bar
1 -
Best practice
6 -
Best Practices
8 -
Best Way
1 -
Beta
1 -
Better Way
1 -
Bi
1 -
BI Integrations
1 -
BI Tool
1 -
Billing and Cost Management
1 -
Blob
1 -
Blog
1 -
Blog Post
1 -
Broadcast variable
1 -
Bug
2 -
Bug Report
2 -
Business Intelligence
1 -
Catalog
3 -
CatalogDDL
1 -
CatalogPricing
1 -
Centralized Model Registry
1 -
Certification
2 -
Certification Badge
1 -
Change
1 -
Change Logs
1 -
Chatgpt
2 -
Check
2 -
CHUNK
1 -
CICD
3 -
Classification Model
1 -
Cli
1 -
Clone
1 -
Cloud Storage
1 -
Cluster
10 -
Cluster Configuration
2 -
Cluster management
5 -
Cluster policy
1 -
Cluster Start
1 -
Cluster Tags
1 -
Cluster Termination
2 -
Clustering
1 -
ClusterMemory
1 -
Clusters
5 -
ClusterSpecification
1 -
CNN HOF
1 -
Code
3 -
Column names
1 -
Community
4 -
Community Account
1 -
Community Edition
1 -
Community Edition Password
1 -
Community Members
1 -
Company Email
1 -
Concat Ws
1 -
Conda
1 -
Condition
1 -
Config
1 -
Configure
3 -
Confluent Cloud
1 -
Connect
1 -
Container
2 -
ContainerServices
1 -
Control Plane
1 -
ControlPlane
1 -
Copy
1 -
Copy into
2 -
CosmosDB
1 -
Cost
1 -
Courses
2 -
CSV
6 -
Csv files
1 -
DAIS2023
1 -
Dashboards
1 -
Data
8 -
Data Engineer Associate
1 -
Data Engineer Certification
1 -
Data Explorer
1 -
Data Ingestion
2 -
Data Ingestion & connectivity
11 -
Data Quality
1 -
Data Quality Checks
1 -
Data Science
11 -
Data Science & Engineering
2 -
databricks
5 -
Databricks Academy
3 -
Databricks Account
1 -
Databricks AutoML
9 -
Databricks Cluster
3 -
Databricks Community
5 -
Databricks community edition
4 -
Databricks connect
1 -
Databricks dbfs
1 -
Databricks Environment
1 -
Databricks Feature Store
1 -
Databricks JDBC
1 -
Databricks Job
1 -
Databricks jobs
1 -
Databricks Lakehouse
1 -
Databricks Lakehouse Platform Accreditation
1 -
Databricks Mlflow
4 -
Databricks Model
2 -
Databricks notebook
10 -
Databricks ODBC
1 -
Databricks Platform
1 -
Databricks Pyspark
1 -
Databricks Python Notebook
1 -
Databricks Repos
2 -
Databricks Repos Api
1 -
Databricks Runtime
9 -
Databricks SQL
8 -
Databricks SQL Permission Problems
1 -
Databricks Terraform
1 -
Databricks Training
2 -
Databricks Unity Catalog
1 -
Databricks V2
1 -
Databricks version
1 -
Databricks Workflow
2 -
Databricks Workflows
1 -
Databricks workspace
2 -
Databricks-connect
1 -
DatabricksContainer
1 -
DatabricksJobs
2 -
DatabricksML
6 -
Dataframe
3 -
Datalake
1 -
DataLakeGen1
1 -
DataSharing
1 -
Datatype
1 -
DataVersioning
1 -
Date
1 -
Date Column
1 -
Dateadd
1 -
DB Notebook
1 -
DB Runtime
1 -
DBFS
5 -
DBFS Rest Api
1 -
Dbt
1 -
Dbu
1 -
Dbutils
2 -
Dbx
2 -
DDL
1 -
DDP
1 -
Dear Community
1 -
DecisionTree
1 -
DecisionTreeClasifier
1 -
Deep learning
4 -
Default Location
1 -
Delete
1 -
Delt Lake
4 -
Delta
24 -
Delta lake table
1 -
Delta Live
1 -
Delta Live Tables
6 -
Delta log
1 -
Delta Sharing
3 -
Delta table
9 -
Delta-lake
1 -
Deploy
1 -
DESC
1 -
Details
1 -
Dev
1 -
Devops
1 -
Df
1 -
Difference
2 -
Different Notebook
1 -
Different Parameters
1 -
DimensionTables
1 -
Directory
3 -
Disable
1 -
Display
1 -
Distribution
1 -
DLT
6 -
DLT Pipeline
3 -
Docker
1 -
Docker image
3 -
Documentation
4 -
Dolly
5 -
Dolly Demo
2 -
Download
2 -
EC2
1 -
Emr
2 -
Endpoint
2 -
Ensemble Models
1 -
Environment Variable
1 -
Epoch
1 -
Error
18 -
Error Code
2 -
Error handling
1 -
Error log
2 -
Error Message
4 -
ETL
2 -
Eventhub
1 -
Exam
1 -
Example
1 -
Excel
2 -
Exception
3 -
Experiments
4 -
External Sources
1 -
Extract
1 -
Fact Tables
1 -
Failure
2 -
Feature
9 -
Feature Lookup
2 -
Feature Store
49 -
Feature Store API
2 -
Feature Store Table
1 -
Feature Table
6 -
Feature Tables
4 -
Features
2 -
FeatureStore
2 -
File
4 -
File Path
2 -
File Size
1 -
Files
2 -
Fine Tune Spark Jobs
1 -
Forecasting
2 -
Forgot Password
2 -
Garbage Collection
1 -
Garbage Collection Optimization
1 -
GCP
4 -
Gdal
1 -
Git
3 -
Github
2 -
Github actions
2 -
Github Repo
2 -
Gitlab
1 -
GKE
1 -
Global Init Script
1 -
Global init scripts
4 -
Google
1 -
Governance
1 -
Gpu
5 -
Graphviz
1 -
Help
5 -
Hi
1 -
Horovod
1 -
Html
1 -
Hyperopt
4 -
Hyperparameter Tuning
2 -
Iam
1 -
Image
3 -
Image Data
1 -
Import
2 -
Industry Experts
1 -
Inference Setup Error
1 -
INFORMATION
1 -
Init script
3 -
Input
1 -
Insert
1 -
Instance Profile
1 -
Int
2 -
Interactive cluster
1 -
Internal error
1 -
INVALID STATE
1 -
Invalid Type Code
1 -
IP
1 -
Ipython
1 -
Ipywidgets
1 -
Jar
1 -
Java
2 -
JDBC Connections
1 -
Jdbc driver
1 -
Jira
1 -
Job
4 -
Job Cluster
1 -
Job Parameters
1 -
Job Runs
1 -
JOBS
5 -
Jobs & Workflows
6 -
Join
1 -
Jsonfile
1 -
Jupyternotebook
2 -
K-means
1 -
K8s
1 -
Kafka consumer
1 -
Kedro
1 -
Key Management
1 -
Kinesis
1 -
Lakehouse
1 -
Large Datasets
1 -
Latest Version
1 -
Learning
1 -
Libraries
2 -
Library
3 -
LightGMB
1 -
Limit
3 -
Linear regression
1 -
LLM
3 -
LLMs
16 -
Local computer
1 -
Local Machine
1 -
Log Model
2 -
Logging
1 -
Login
1 -
Logistic regression
1 -
LogPyfunc
1 -
LogRuns
1 -
Logs
1 -
Long Time
2 -
Low Latency APIs
2 -
LTS
3 -
LTS ML
3 -
Machine
3 -
Machine Learning
24 -
Machine Learning Associate
1 -
Managed Table
1 -
Maven
1 -
Max Retries
1 -
Maximum Number
1 -
Medallion Architecture
1 -
Memory
3 -
Merge
3 -
Merge Into
1 -
Metadata
1 -
Metrics
3 -
Microsoft
1 -
Microsoft azure
1 -
ML
17 -
ML Lifecycle
4 -
ML Model
4 -
ML Pipeline
2 -
ML Practioner
3 -
ML Runtime
1 -
MLEndPoint
1 -
MlFlow
75 -
MLflow API
5 -
MLflow Artifacts
2 -
MLflow Experiment
6 -
MLflow Experiments
3 -
Mlflow Model
10 -
Mlflow project
4 -
Mlflow registry
3 -
Mlflow Run
1 -
Mlflow Server
5 -
MLFlow Tracking Server
3 -
MLModel
1 -
MLModelRealtime
1 -
MLModels
2 -
Mlops
6 -
Model
32 -
Model Deployment
4 -
Model Lifecycle
6 -
Model Loading
2 -
Model Monitoring
1 -
Model registry
5 -
Model Serving
36 -
Model Serving Cluster
2 -
Model Serving REST API
6 -
Model Size
2 -
Model Training
2 -
Model Tuning
1 -
Model Version
1 -
Models
8 -
Module
3 -
Modulenotfounderror
1 -
MongoDB
1 -
Monitoring and Visibility
1 -
Mount Point
1 -
Mounts
1 -
Multi
1 -
Multiline
1 -
Multiple users
1 -
Nested
1 -
New
2 -
New Cluster
1 -
New Feature
1 -
New Features
1 -
New Workspace
1 -
Nlp
3 -
Note
1 -
Notebook
6 -
Notebook Context
1 -
Notebooks
5 -
Notification
2 -
Object
3 -
Object Type
1 -
Odbc
1 -
Onboarding
1 -
Online Feature Store Table
1 -
OOM Error
1 -
Open source
2 -
Open Source MLflow
4 -
Optimization
2 -
Optimize
1 -
Optimize Command
1 -
OSS
3 -
Overwatch
1 -
Overwrite
2 -
Packages
2 -
Pandas
3 -
Pandas dataframe
1 -
Pandas udf
4 -
Pandas_udf
1 -
Parallel
1 -
Parallel processing
1 -
Parallel Runs
1 -
Parallelism
1 -
Parameter
2 -
PARAMETER VALUE
2 -
Partition
1 -
Partner Academy
1 -
Password
1 -
Path
1 -
Pending State
2 -
Performance
2 -
Performance Tuning
1 -
Permission
1 -
Personal access token
2 -
Photon
2 -
Photon Engine
1 -
Pickle
1 -
Pickle Files
2 -
Pip
2 -
Pipeline Model
1 -
Points
1 -
Possible
1 -
Postgres
1 -
Presentation
1 -
Pricing
2 -
Primary Key
1 -
Primary Key Constraint
1 -
PROBLEM
2 -
Production
2 -
Progress bar
2 -
Proven Practice
4 -
Proven Practices
2 -
Public
2 -
Pycharm IDE
1 -
Pyfunc Model
2 -
Pymc
1 -
Pymc3
1 -
Pymc3 Models
2 -
PyPI
1 -
Pyspark
6 -
Pyspark Dataframe
1 -
Python
21 -
Python API
1 -
Python Code
1 -
Python Error
1 -
Python Function
3 -
Python Libraries
1 -
Python notebook
2 -
Python Packages
1 -
Python Project
1 -
Python script
1 -
Python Task
1 -
Pytorch
3 -
Query
2 -
Question
2 -
R
6 -
R Shiny
1 -
Randomforest
2 -
Rate Limits
1 -
Reading-excel
2 -
Redis
2 -
Region
1 -
Remote RPC Client
1 -
Repos
1 -
Rest
1 -
Rest API
14 -
REST Endpoint
2 -
RESTAPI
1 -
Result
1 -
Rgeos Packages
1 -
Run
3 -
Runtime
2 -
Runtime 10.4 LST ML
1 -
Runtime update
1 -
S3
1 -
S3bucket
2 -
Sagemaker
1 -
Salesforce
1 -
SAP
1 -
Scalability
1 -
Scalable Machine
2 -
Schema
4 -
Schema evolution
1 -
Score Batch Support
1 -
Script
1 -
SDLC
1 -
Search
1 -
Search Runs
1 -
Secret scope
1 -
Secure Cluster Connectiv
1 -
Security
2 -
Security Exception
1 -
Self Service Notebooks
1 -
Server
1 -
Serverless
1 -
Serverless Inference
1 -
Serverless Real
1 -
Service Application
1 -
Service principal
1 -
Serving
1 -
Serving Status Failed
1 -
Set
1 -
Sf Username
1 -
Shap
2 -
Similar Issue
1 -
Similar Support
1 -
Simple Spark ML Model
1 -
Sin Cosine
1 -
Size
1 -
Sklearn
1 -
SKLEARN VERSION
1 -
Slow
1 -
Small Scale Experimentation
1 -
Source Table
1 -
Spark
13 -
Spark config
1 -
Spark connector
1 -
Spark Daatricks
1 -
Spark Error
1 -
Spark Means
1 -
Spark ML's CrossValidator
1 -
Spark MLlib
2 -
Spark MLlib Models
1 -
Spark Model
1 -
Spark Optimization
1 -
Spark Pandas Api
1 -
Spark Pipeline Model
1 -
Spark streaming
1 -
Spark ui
1 -
Spark Version
2 -
Spark-submit
1 -
Sparkml
1 -
SparkML Models
2 -
Sparknlp
3 -
SparkNLP Model
1 -
Sparktrials
1 -
Split Data
1 -
Spot
1 -
SQL
19 -
SQL Editor
1 -
SQL Queries
1 -
Sql query
1 -
SQL Visualisations
1 -
SQL Visualizations
1 -
Stage failure
2 -
Standard
2 -
StanModel
1 -
Storage
3 -
Storage account
1 -
Storage Space
1 -
Store Import Error
1 -
Store MLflow
1 -
Store Secret
1 -
Stream
2 -
Stream Data
1 -
Streaming
1 -
String
3 -
Stringindexer
1 -
Structtype
1 -
Structured streaming
2 -
Study Material
1 -
Substantial Performance Issues
1 -
Successful Runs
1 -
Summit22
3 -
Summit23
2 -
Support
1 -
Support Team
1 -
Synapse
1 -
Synapse ML
1 -
Table
4 -
Table access control
1 -
Tableau
1 -
Tables
3 -
Tabular Models
1 -
Task
1 -
Temporary View
1 -
Tensor flow
1 -
Tensorboard
1 -
Tensorflow Distributor
1 -
TensorFlow Model
2 -
Terraform
1 -
Test
1 -
Test Dataframe
1 -
Text Column
1 -
TF Model
1 -
TF SummaryWriter
1 -
TF SummaryWriter Flush
1 -
Threading Lock
1 -
TID
4 -
Time
1 -
Time-Series
1 -
Timeseries
1 -
Timestamps
1 -
TODAY
1 -
Tracking Server
1 -
Training
6 -
Transaction Log
1 -
Trying
1 -
Tuning
2 -
Type
1 -
Type Changes
1 -
UAT
1 -
UC
1 -
Udf
6 -
Ui
1 -
Unexpected Error
1 -
Unity Catalog
12 -
Unrecognized Arguments
1 -
Urgent Question
1 -
Use
5 -
Use Case
2 -
Use cases
1 -
User and Group Administration
1 -
Using MLflow
1 -
UTC
2 -
Utils.environment
1 -
Uuid
1 -
Val File Path
1 -
Validate ML Model
2 -
Values
1 -
Variable
1 -
Variable Explanations
1 -
Vector
1 -
Version
1 -
Version Information
1 -
Versioncontrol
1 -
Versioning
1 -
View
1 -
Visualization
2 -
WARNING
1 -
Web App Azure Databricks
1 -
Web ui
1 -
Weekly Release Notes
2 -
weeklyreleasenotesrecap
2 -
Whl
1 -
Wildcard
1 -
Worker Nodes
1 -
Workflow
2 -
Workflow Jobs
1 -
Workspace
2 -
Workspace Region
1 -
Write
1 -
Writing
1 -
XGBModel
2 -
Xgboost
2 -
Xgboost Model
2 -
Yesterday Afternoon
1 -
Z-ordering
1 -
Zorder
1
- « Previous
- Next »
User | Count |
---|---|
89 | |
39 | |
36 | |
25 | |
25 |