jack | generating fully functional Java database models from Ruby | Database library

 by   LiveRamp Java Version: Current License: Non-SPDX

kandi X-RAY | jack Summary

jack is a Java library typically used in Database applications. jack has no vulnerabilities, it has build file available and it has high support. However jack has 32 bugs and it has a Non-SPDX License. You can download it from GitHub, Maven.
Do you use Ruby/Rails and Java in your company? We do. And we're sick and tired of maintaining two different sets of schemas, models, and whatnot!.
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                      kandi-support Support

                        summary
                        jack has a highly active ecosystem.
                        summary
                        It has 68 star(s) with 65 fork(s). There are 115 watchers for this library.
                        summary
                        It had no major release in the last 6 months.
                        summary
                        There are 13 open issues and 23 have been closed. On average issues are closed in 207 days. There are 10 open pull requests and 0 closed requests.
                        summary
                        It has a negative sentiment in the developer community.
                        summary
                        The latest version of jack is current.
                        jack Support
                          Best in #Database
                            Average in #Database
                            jack Support
                              Best in #Database
                                Average in #Database

                                  kandi-Quality Quality

                                    summary
                                    jack has 32 bugs (0 blocker, 1 critical, 27 major, 4 minor) and 973 code smells.
                                    jack Quality
                                      Best in #Database
                                        Average in #Database
                                        jack Quality
                                          Best in #Database
                                            Average in #Database

                                              kandi-Security Security

                                                summary
                                                jack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
                                                summary
                                                jack code analysis shows 0 unresolved vulnerabilities.
                                                summary
                                                There are 10 security hotspots that need review.
                                                jack Security
                                                  Best in #Database
                                                    Average in #Database
                                                    jack Security
                                                      Best in #Database
                                                        Average in #Database

                                                          kandi-License License

                                                            summary
                                                            jack has a Non-SPDX License.
                                                            summary
                                                            Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
                                                            jack License
                                                              Best in #Database
                                                                Average in #Database
                                                                jack License
                                                                  Best in #Database
                                                                    Average in #Database

                                                                      kandi-Reuse Reuse

                                                                        summary
                                                                        jack releases are not available. You will need to build from source code and install.
                                                                        summary
                                                                        Deployable package is available in Maven.
                                                                        summary
                                                                        Build file is available. You can build the component from source.
                                                                        summary
                                                                        Installation instructions, examples and code snippets are available.
                                                                        summary
                                                                        It has 26209 lines of code, 2524 functions and 333 files.
                                                                        summary
                                                                        It has medium code complexity. Code complexity directly impacts maintainability of the code.
                                                                        jack Reuse
                                                                          Best in #Database
                                                                            Average in #Database
                                                                            jack Reuse
                                                                              Best in #Database
                                                                                Average in #Database
                                                                                  Top functions reviewed by kandi - BETA
                                                                                  kandi has reviewed jack and discovered the below as its top functions. This is intended to give you an instant insight into jack implemented functionality, and help decide if they suit your requirements.
                                                                                  • Translates a string
                                                                                    • Fills the input buffer with new input
                                                                                    • Reports an error
                                                                                    • Tokenizes the scanner
                                                                                  • Load database connection configuration from environment
                                                                                    • Fetch yaml from given reader provider
                                                                                    • Load optional from map
                                                                                  • Find by foreign key
                                                                                  • Find instances by foreign key
                                                                                  • Deletes all tables
                                                                                  • Returns a summary for the query
                                                                                  • Returns a hashCode of this enum instance
                                                                                  • Creates the IN SQL statement
                                                                                  • Creates SQL statement
                                                                                  • Returns true if the table is empty
                                                                                  • Gets a connection to a database
                                                                                  • Add a sub record s sub record ids
                                                                                  • Returns a list of values for the given key
                                                                                  • Executes the update
                                                                                  • Executes an SQL query
                                                                                  • Fetch records from database
                                                                                  • Returns a summary of the transaction metrics
                                                                                  • Realizes the creation of the database
                                                                                  • Gets a connection from the pool
                                                                                  • Gets value
                                                                                  • Associates the specified value with the specified key
                                                                                  Get all kandi verified functions for this library.
                                                                                  Get all kandi verified functions for this library.

                                                                                  jack Key Features

                                                                                  a scheme for defining and managing multiple Rails projects that contribute models
                                                                                  a Ruby parser for schema.rb and ActiveRecord models that generates Java code
                                                                                  a Java library that provides model-oriented database access and database-wide query on top of standard database connections

                                                                                  jack Examples and Code Snippets

                                                                                  Jack,Project Organization,Project Definition File
                                                                                  Javadot imgLines of Code : 24dot imgLicense : Non-SPDX (NOASSERTION)
                                                                                  copy iconCopy
                                                                                  
                                                                                                                      # This is the class path where you want the top-level generated code to go. databases_namespace: com.rapleaf.jack.test_project # Here, we define each of the separate databases for which Jack should # generate code. Each database is roughly equivalent to a Rails project. databases: - # The root namespace for this database. It's nice, but not required, to # have this be a subpackage of the 'databases_namespace'. root_namespace: com.rapleaf.jack.test_project.database_1 # What do you want to call this database? Leave out the "_production". db_name: Database1 # The path to the schema.rb in your Rails project. schema_rb: database_1/db/schema.rb # The path to the app/models dir in your Rails project. models: database_1/app/models # Tables to be ignored. No code will be generated for them. ignored_tables: table_1 table_2 - root_namespace: com.rapleaf.jack.test_project.database_2 db_name: Database2 schema_rb: database_2/db/schema.rb models: database_2/app/models
                                                                                  Jack,Download
                                                                                  Javadot imgLines of Code : 7dot imgLicense : Non-SPDX (NOASSERTION)
                                                                                  copy iconCopy
                                                                                  
                                                                                                                      ossrh-snapshots https://oss.sonatype.org/content/repositories/snapshots/  false
                                                                                  Jack,Project Organization,Rails Projects
                                                                                  Javadot imgLines of Code : 6dot imgLicense : Non-SPDX (NOASSERTION)
                                                                                  copy iconCopy
                                                                                  
                                                                                                                      /all_my_databases /project.yml /rails_project_1 /rails_project_2 /ruby_project_that_uses_rails_project_2 /include/rails_project_2 # <= svn external to /all_my_databases/rails_project_2
                                                                                  True if card is a face card .
                                                                                  pythondot imgLines of Code : 3dot imgLicense : Non-SPDX
                                                                                  copy iconCopy
                                                                                  
                                                                                                                      def is_face_card(self): """Jack = 11, Queen = 12, King = 13""" return True if 10 < self._value <= 13 else False
                                                                                  Initialize a Black Jack card .
                                                                                  pythondot imgLines of Code : 2dot imgLicense : Non-SPDX
                                                                                  copy iconCopy
                                                                                  
                                                                                                                      def __init__(self, value, suit): super(BlackJackCard, self).__init__(value, suit)
                                                                                  Community Discussions

                                                                                  Trending Discussions on jack

                                                                                  How to get "tag name", "attribute name", "attribute value" in regex?
                                                                                  chevron right
                                                                                  TypeScript: Specify that value must be in Array using spread operator
                                                                                  chevron right
                                                                                  Create new column using str.contains and based on if-else condition
                                                                                  chevron right
                                                                                  UIButton image behavior changed in iOS 15?
                                                                                  chevron right
                                                                                  How can I join two lists in less than O(N*M)?
                                                                                  chevron right
                                                                                  Count the values of a column based on the values of another column in R
                                                                                  chevron right
                                                                                  Stopping CSS Grid column from overflowing
                                                                                  chevron right
                                                                                  Context Menu not updating in SwiftUI
                                                                                  chevron right
                                                                                  Merging two Data frames with fuzzy merge/sqldf
                                                                                  chevron right
                                                                                  Assigning value to pandas dataframe values for unique values in another column
                                                                                  chevron right

                                                                                  QUESTION

                                                                                  How to get "tag name", "attribute name", "attribute value" in regex?
                                                                                  Asked 2022-Feb-10 at 12:28

                                                                                  I'm trying to write a regular expression that needs to return every tag name, attribute name, and attribute value

                                                                                  Here is the code example

                                                                                  Hello, My name is Jack, This is my selfie:
                                                                                  [img id='4' src="imageurl"]
                                                                                  Below is the quick-link to my profile
                                                                                  [profile username='jackisbest']
                                                                                  

                                                                                  I need to get any text enclosed in [ ]

                                                                                  Also I need javascript regex to parse them and match them this way

                                                                                  > Match 1: img
                                                                                  
                                                                                  > Match 2: id='4'
                                                                                    Group 1: id
                                                                                    Group 2: 4
                                                                                  
                                                                                  > Match 3: src="imageurl"
                                                                                    Group 1: src
                                                                                    Group 2: imageurl
                                                                                  

                                                                                  This is the regex I am using, but it can only match attributes and value

                                                                                  (\S+)=["']?((?:.(?!["']?\s+(?:\S+)=|[>"']))+.)["']
                                                                                  

                                                                                  Thanks!!

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-10 at 06:05

                                                                                  I modified your regex to catch the tag name and used named capture groups.

                                                                                  /\[?(?\w+)\s?(?\S+)=['"]?(?(?:.(?!["']?\s+(?:\S+)=|[>"']))+.)["']/gm

                                                                                  This might work for you.

                                                                                  Test here: https://regex101.com/r/kT7pG4/1

                                                                                  Source https://stackoverflow.com/questions/71059594

                                                                                  QUESTION

                                                                                  TypeScript: Specify that value must be in Array using spread operator
                                                                                  Asked 2022-Feb-05 at 16:21

                                                                                  I am trying to define a type where the favoriteFruit property's value must be an item in options array. Where the options array is dynamic/unknown (making it impossible to use union types "|").

                                                                                  const options = ["apple", "orange", "kiwi"]; // Dynamic list that can be modified in the future 
                                                                                  
                                                                                  type Person =  {
                                                                                    name: string;
                                                                                    favoriteFruit: /* --- val in [...options] --- */
                                                                                  };
                                                                                  
                                                                                  const personA:Person = {name: "Jack", favoriteFruit: "apple"}; // OK
                                                                                  const personB:Person = {name: "John", favoriteFruit: "orange"}; // OK
                                                                                  const personC:Person = {name: "Jane", favoriteFruit: "banana"}; // ERROR
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-05 at 15:23
                                                                                  const arr = ["foo", "bar", "loo"] as const
                                                                                  
                                                                                  type arrTyp = typeof arr[number]; // "foo" | "bar" | "loo"
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/70999268

                                                                                  QUESTION

                                                                                  Create new column using str.contains and based on if-else condition
                                                                                  Asked 2022-Jan-04 at 13:41

                                                                                  I have a list of names 'pattern' that I wish to match with strings in column 'url_text'. If there is a match i.e. True the name should be printed in a new column 'pol_names_block' and if False leave the row empty.

                                                                                  pattern = '|'.join(pol_names_list) 
                                                                                  
                                                                                  print(pattern)
                                                                                  'Jon Kyl|Doug Jones|Tim Kaine|Lindsey Graham|Cory Booker|Kamala Harris|Orrin Hatch|Bernie Sanders|Thom Tillis|Jerry Moran|Shelly Moore Capito|Maggie Hassan|Tom Carper|Martin Heinrich|Steve Daines|Pat Toomey|Todd Young|Bill Nelson|John Barrasso|Chris Murphy|Mike Rounds|Mike Crapo|John Thune|John. McCain|Susan Collins|Patty Murray|Dianne Feinstein|Claire McCaskill|Lamar Alexander|Jack Reed|Chuck Grassley|Catherine Masto|Pat Roberts|Ben Cardin|Dean Heller|Ron Wyden|Dick Durbin|Jeanne Shaheen|Tammy Duckworth|Sheldon Whitehouse|Tom Cotton|Sherrod Brown|Bob Corker|Tom Udall|Mitch McConnell|James Lankford|Ted Cruz|Mike Enzi|Gary Peters|Jeff Flake|Johnny Isakson|Jim Inhofe|Lindsey Graham|Marco Rubio|Angus King|Kirsten Gillibrand|Bob Casey|Chris Van Hollen|Thad Cochran|Richard Burr|Rob Portman|Jon Tester|Bob Menendez|John Boozman|Mazie Hirono|Joe Manchin|Deb Fischer|Michael Bennet|Debbie Stabenow|Ben Sasse|Brian Schatz|Jim Risch|Mike Lee|Elizabeth Warren|Richard Blumenthal|David Perdue|Al Franken|Bill Cassidy|Cory Gardner|Lisa Murkowski|Maria Cantwell|Tammy Baldwin|Joe Donnelly|Roger Wicker|Amy Klobuchar|Joel Heitkamp|Joni Ernst|Chris Coons|Mark Warner|John Cornyn|Ron Johnson|Patrick Leahy|Chuck Schumer|John Kennedy|Jeff Merkley|Roy Blunt|Richard Shelby|John Hoeven|Rand Paul|Dan Sullivan|Tim Scott|Ed Markey'
                                                                                  

                                                                                  I am using the following code df['url_text'].str.contains(pattern) which results in True in case a name in 'pattern' is present in a row in column 'url_text' and False otherwise. With that I have tried the following code:

                                                                                  df['pol_name_block'] = df.apply(
                                                                                      lambda row: pol_names_list if df['url_text'].str.contains(pattern) in row['url_text'] else ' ',
                                                                                      axis=1
                                                                                  )
                                                                                  

                                                                                  I get the error:

                                                                                  TypeError: 'in ' requires string as left operand, not Series
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-04 at 13:36

                                                                                  From this toy Dataframe :

                                                                                  >>> import pandas as pd
                                                                                  >>> from io import StringIO
                                                                                  
                                                                                  >>> df = pd.read_csv(StringIO("""
                                                                                  ... id,url_text
                                                                                  ... 1,Tim Kaine
                                                                                  ... 2,Tim Kain
                                                                                  ... 3,Tim
                                                                                  ... 4,Lindsey Graham.com
                                                                                  ... """), sep=',')
                                                                                  >>> df
                                                                                      id  url_text
                                                                                  0   1   Tim Kaine
                                                                                  1   2   Tim Kain
                                                                                  2   3   Tim
                                                                                  3   4   Lindsey Graham.com
                                                                                  

                                                                                  From pol_names_list, we build patterns by formating it like so :

                                                                                  patterns = '(%s)' % '|'.join(pol_names_list)
                                                                                  

                                                                                  Then, we can use the extract method to assign the value to the column pol_name_block to get the expected result :

                                                                                  df['pol_name_block'] = df['url_text'].str.extract(patterns)
                                                                                  

                                                                                  Output :

                                                                                      id  url_text            pol_name_block
                                                                                  0   1   Tim Kaine           Tim Kaine
                                                                                  1   2   Tim Kain            NaN
                                                                                  2   3   Tim                 NaN
                                                                                  3   4   Lindsey Graham.com  Lindsey Graham
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/70579291

                                                                                  QUESTION

                                                                                  UIButton image behavior changed in iOS 15?
                                                                                  Asked 2021-Dec-28 at 16:00

                                                                                  My code is very simple; I have an outlet to a UIButton, button, and I am setting its image in code:

                                                                                      let jack = UIImage(named:"jack.png")
                                                                                      self.button.setImage(jack, for:.normal)
                                                                                  

                                                                                  The problem is that this is not behaving as I expect. I expect the button image to be sized down to the button size, and I expect it to be a template image (tinted with the inherited tint color). Instead, I'm seeing the original image and it is full-sized. Is this a change in iOS 15?

                                                                                  It seems to be, because if I set my project's deployment target to iOS 14 and run it on an iOS 14 simulator, I do get the behavior that I expect.

                                                                                  ANSWER

                                                                                  Answered 2021-Oct-04 at 17:26

                                                                                  Is this a change in iOS 15?

                                                                                  Yes and no. There is indeed a change in iOS 15, but the reason for the problem you're experiencing is a change in Xcode 13.

                                                                                  The change in iOS 15 is that there's a whole new way of configuring a button. This starts with giving the button one of four new iOS 15 types: Plain, Gray, Tinted, and Filled. If you set your button to have any of those types, you are opting in to the new behavior.

                                                                                  The problem you're seeing is because, in Xcode 13, when you make a button in the storyboard, it does give the button one of those types: Plain. So you have opted into the new dispensation without knowing it!

                                                                                  The solution, if you want the old behavior, is to change the Style pop-up menu (in the Attributes inspector) from Plain to Default. Now you have an old-style button and it will behave in the way you're accustomed to.

                                                                                  (Of course, in the long run, you're going to want to adopt the new dispensation. I'm just explaining the apparent change in behavior.)

                                                                                  Source https://stackoverflow.com/questions/69439301

                                                                                  QUESTION

                                                                                  How can I join two lists in less than O(N*M)?
                                                                                  Asked 2021-Dec-25 at 00:43

                                                                                  Assume we have two tables (think as in SQL tables), where the primary key in one of them is the foreign key in the other. I'm supposed to write a simple algorithm that would imitate the joining of these two tables. I thought about iterating over each element in the primary key column in the first table, having a second loop where it checks if the foreign key matches, then store it in an external array or list. However, this would take O(N*M) and I need to find something better. There is a hint in the textbook that it involves hashing, however, I'm not sure how hashing could be implemented here or how it would make it better?

                                                                                  Editing to add an example:

                                                                                  Table Employees
                                                                                  |ID (Primary Key)| Name | Department|
                                                                                  |:---------------|:----:|----------:|
                                                                                  |       1        | Jack |    IT     |   
                                                                                  |       2        | Amy  |  Finance  |
                                                                                  
                                                                                  Table Transactions
                                                                                  |Sold Product| Sold By(Foreign Key)| Sold To|
                                                                                  |:-----------|:-------------------:|-------:|
                                                                                  |    TV      |          1          |  Mary  |
                                                                                  |   Radio    |          1          |  Bob   |
                                                                                  |   Mobile   |          2          |  Lisa  |
                                                                                  

                                                                                  What I want to do is write an algorithm that joins these two tables using hashing, and not anything complex, just a simple idea on how to do that.

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-24 at 22:18

                                                                                  Read the child table's primary and foreign keys into a map where the keys are the foreign keys and the values are the primary keys. Keep in mind that one foreign key can map to multiple primary keys if this is a one to many relationship.

                                                                                  Now iterate over the primary keys of the mother table and for each primary key check whether it exists in the map. If so, you add a tuple of the primary keys of the rows that have a relation to the array (or however you want to save it).

                                                                                  The time complexity is O(n + m). Iterate over the rows of each table once. Since the lookup in the map is constant, we don't need to add it.

                                                                                  Space complexity is O(m) where m is the number of rows in the child table. This is some additional space you use in comparison to the naive solution to improve the time complexity.

                                                                                  Source https://stackoverflow.com/questions/70476791

                                                                                  QUESTION

                                                                                  Count the values of a column based on the values of another column in R
                                                                                  Asked 2021-Dec-22 at 12:07

                                                                                  Using the dataframe I want to create a new one which will contain Zip, Name and a column named Count which will include the count of Name per Zip.

                                                                                  Zip<-c("123245","12345","123245","123456","123456","12345")
                                                                                  Name<-c("Bob","Bob","Bob","Jack","Jack","Mary"),
                                                                                  df<-data.frame(Zip,Name,Name2)
                                                                                  
                                                                                  library(dplyr)
                                                                                  df %>%
                                                                                    group_by(Zip) %>%
                                                                                    mutate(Name = cumsum(Name))
                                                                                  

                                                                                  expected

                                                                                  Zip Name Count
                                                                                  1 123245  Bob     2
                                                                                  2  12345  Bob     1
                                                                                  3  12345 Mary     1
                                                                                  4 123456 Jack     2
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-21 at 23:23

                                                                                  Does this solve your problem?

                                                                                  Zip<-c("123245","12345","123245","123456","123456","12345")
                                                                                  Name<-c("Bob","Bob","Bob","Jack","Jack","Mary")
                                                                                  df<-data.frame(Zip,Name)
                                                                                  
                                                                                  library(dplyr)
                                                                                  #> 
                                                                                  #> Attaching package: 'dplyr'
                                                                                  #> The following objects are masked from 'package:stats':
                                                                                  #> 
                                                                                  #>     filter, lag
                                                                                  #> The following objects are masked from 'package:base':
                                                                                  #> 
                                                                                  #>     intersect, setdiff, setequal, union
                                                                                  df %>%
                                                                                    group_by(Zip, Name) %>%
                                                                                    summarise(Count = n())
                                                                                  #> `summarise()` has grouped output by 'Zip'. You can override using the `.groups` argument.
                                                                                  #> # A tibble: 4 × 3
                                                                                  #> # Groups:   Zip [3]
                                                                                  #>   Zip    Name  Count
                                                                                  #>      
                                                                                  #> 1 123245 Bob       2
                                                                                  #> 2 12345  Bob       1
                                                                                  #> 3 12345  Mary      1
                                                                                  #> 4 123456 Jack      2
                                                                                  

                                                                                  Created on 2021-12-22 by the reprex package (v2.0.1)

                                                                                  --

                                                                                  Quick speed benchmark:

                                                                                  library(tidyverse)
                                                                                  library(microbenchmark)
                                                                                  
                                                                                  Zip<-c("123245","12345","123245","123456","123456","12345")
                                                                                  Name<-c("Bob","Bob","Bob","Jack","Jack","Mary")
                                                                                  df<-data.frame(Zip,Name)
                                                                                  
                                                                                  JM <- function(df){
                                                                                    df %>%
                                                                                    group_by(Zip, Name) %>%
                                                                                    summarise(Count = n())
                                                                                  }
                                                                                  JM(df)
                                                                                  #> `summarise()` has grouped output by 'Zip'. You can override using the `.groups` argument.
                                                                                  #> # A tibble: 4 × 3
                                                                                  #> # Groups:   Zip [3]
                                                                                  #>   Zip    Name  Count
                                                                                  #>      
                                                                                  #> 1 123245 Bob       2
                                                                                  #> 2 12345  Bob       1
                                                                                  #> 3 12345  Mary      1
                                                                                  #> 4 123456 Jack      2
                                                                                  
                                                                                  TarJae <- function(df){
                                                                                    df %>% 
                                                                                      count(Zip, Name, name= "Count")
                                                                                  }
                                                                                  
                                                                                  TIC <- function(df){
                                                                                    aggregate(cbind(Count = Zip) ~ Zip + Name, df, length)
                                                                                  }
                                                                                  TIC(df)
                                                                                  #>      Zip Name Count
                                                                                  #> 1 123245  Bob     2
                                                                                  #> 2  12345  Bob     1
                                                                                  #> 3 123456 Jack     2
                                                                                  #> 4  12345 Mary     1
                                                                                  
                                                                                  res <- microbenchmark(JM(df), TIC(df), TarJae(df))
                                                                                  autoplot(res)
                                                                                  #> Coordinate system already present. Adding new coordinate system, which will replace the existing one.
                                                                                  

                                                                                  Created on 2021-12-22 by the reprex package (v2.0.1)

                                                                                  Source https://stackoverflow.com/questions/70442161

                                                                                  QUESTION

                                                                                  Stopping CSS Grid column from overflowing
                                                                                  Asked 2021-Dec-18 at 21:12

                                                                                  I tried stopping the column overflow with max-height, max-width, but it doesn't seem to work.

                                                                                  I've made three columns with CSS Grid. One for the nav section, one for the left column and one for the right column. the left column section keeps overflowing over the nav section and the right column section as shown in the screenshots.

                                                                                  What I'm trying to achieve:

                                                                                  What happens:

                                                                                  @import url("https://fonts.googleapis.com/css2?family=Asap:wght@400;700&display=swap");
                                                                                  * {
                                                                                    padding: 0;
                                                                                    margin: 0;
                                                                                    height: 100%;
                                                                                    width: 100%;
                                                                                    background-color: #4a6163;
                                                                                    font-family: "Asap";
                                                                                    -webkit-box-sizing: border-box;
                                                                                            box-sizing: border-box;
                                                                                  }
                                                                                  
                                                                                  .main_grid {
                                                                                    display: -ms-grid;
                                                                                    display: grid;
                                                                                    -ms-grid-columns: 0.25fr (1fr)[2];
                                                                                        grid-template-columns: 0.25fr repeat(2, 1fr);
                                                                                    -ms-grid-rows: 1fr;
                                                                                        grid-template-rows: 1fr;
                                                                                    grid-column-gap: 0px;
                                                                                    grid-row-gap: 0px;
                                                                                    max-height: 100%;
                                                                                    max-width: 100%;
                                                                                  }
                                                                                  
                                                                                  .nav_section {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 1;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 1 / 1 / 2;
                                                                                    border: 3px yellow solid;
                                                                                  }
                                                                                  
                                                                                  .left_column {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 2;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 2 / 1 / 3;
                                                                                    border: 1px yellow solid;
                                                                                  }
                                                                                  
                                                                                  .right_colomn {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 3;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 3 / 1 / 4;
                                                                                    border: 2px blue solid;
                                                                                  }
                                                                                  
                                                                                  .left_column > h1 {
                                                                                    font-family: "Asap";
                                                                                    color: #f9faf4;
                                                                                    font-size: 13rem;
                                                                                    font-style: normal;
                                                                                    font-weight: normal;
                                                                                    line-height: 15.75rem;
                                                                                    text-transform: uppercase;
                                                                                    -webkit-transform: rotate(-90deg);
                                                                                            transform: rotate(-90deg);
                                                                                    display: -webkit-box;
                                                                                    display: -ms-flexbox;
                                                                                    display: flex;
                                                                                    border: red 3px solid;
                                                                                    -o-object-fit: contain;
                                                                                       object-fit: contain;
                                                                                    max-width: 100%;
                                                                                    max-height: 100%;
                                                                                  }
                                                                                  
                                                                                  .main_bio {
                                                                                    color: #f2c4ce;
                                                                                    font-size: 1.75rem;
                                                                                    text-decoration: underline;
                                                                                  }
                                                                                      
                                                                                          
                                                                                              
                                                                                                  
                                                                                                      home
                                                                                                      work
                                                                                                      contact
                                                                                                  
                                                                                              
                                                                                              
                                                                                                  Hello, I'm Jack
                                                                                              
                                                                                             
                                                                                                

                                                                                  A 20 YEAR OLD FROM A SMALL TOWN NEAR AMSTERDAM. CURRENTLY STUDYING COMPUTER SCIENCE IN LEIDEN.

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-18 at 21:12

                                                                                  To avoid overflowing, you can use the rule white-space: nowrap; for your h1. However, that will avoid breaking the line after "Hello," as well.

                                                                                  So I would also recommend adding a
                                                                                  after the Hello, for explicitly breaking that line.

                                                                                  That should solve your line-break issues, but I noticed you're also rotating the text by 90deg, and that can mess up the heading fitting inside the cell.

                                                                                  So I recommend adding the rule writing-mode: tb-rl (link) to make the text be written vertically, and then rotating it 180deg instead of 90 (so it becomes bottom-up instead of top-down)

                                                                                  This is your snippet with the suggested changes

                                                                                  @import url("https://fonts.googleapis.com/css2?family=Asap:wght@400;700&display=swap");
                                                                                  * {
                                                                                    padding: 0;
                                                                                    margin: 0;
                                                                                    height: 100%;
                                                                                    width: 100%;
                                                                                    background-color: #4a6163;
                                                                                    font-family: "Asap";
                                                                                    -webkit-box-sizing: border-box;
                                                                                            box-sizing: border-box;
                                                                                  }
                                                                                  
                                                                                  .main_grid {
                                                                                    display: -ms-grid;
                                                                                    display: grid;
                                                                                    -ms-grid-columns: 0.25fr (1fr)[2];
                                                                                        grid-template-columns: 0.25fr repeat(2, 1fr);
                                                                                    -ms-grid-rows: 1fr;
                                                                                        grid-template-rows: 1fr;
                                                                                    grid-column-gap: 0px;
                                                                                    grid-row-gap: 0px;
                                                                                    max-height: 100%;
                                                                                    max-width: 100%;
                                                                                  }
                                                                                  
                                                                                  .nav_section {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 1;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 1 / 1 / 2;
                                                                                    border: 3px yellow solid;
                                                                                  }
                                                                                  
                                                                                  .left_column {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 2;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 2 / 1 / 3;
                                                                                    border: 1px yellow solid;
                                                                                  }
                                                                                  
                                                                                  .right_colomn {
                                                                                    -ms-grid-row: 1;
                                                                                    -ms-grid-column: 3;
                                                                                    -ms-grid-column-span: 1;
                                                                                    grid-area: 1 / 3 / 1 / 4;
                                                                                    border: 2px blue solid;
                                                                                  }
                                                                                  
                                                                                  .left_column > h1 {
                                                                                    font-family: "Asap";
                                                                                    color: #f9faf4;
                                                                                    font-size: 13rem;
                                                                                    font-style: normal;
                                                                                    font-weight: normal;
                                                                                    line-height: 15.75rem;
                                                                                    text-transform: uppercase;
                                                                                    /* Updated the following 3 lines */
                                                                                    white-space: nowrap;
                                                                                    writing-mode: tb-rl;
                                                                                    -webkit-transform: rotate(-180deg);
                                                                                            transform: rotate(-180deg);
                                                                                    display: -webkit-box;
                                                                                    display: -ms-flexbox;
                                                                                    display: flex;
                                                                                    border: red 3px solid;
                                                                                    -o-object-fit: contain;
                                                                                       object-fit: contain;
                                                                                    max-width: 100%;
                                                                                    max-height: 100%;
                                                                                  }
                                                                                  
                                                                                  .main_bio {
                                                                                    color: #f2c4ce;
                                                                                    font-size: 1.75rem;
                                                                                    text-decoration: underline;
                                                                                  }
                                                                                      
                                                                                          
                                                                                              
                                                                                                  
                                                                                                      home
                                                                                                      work
                                                                                                      contact
                                                                                                  
                                                                                              
                                                                                              
                                                                                                  Hello,
                                                                                  I'm Jack

                                                                                  A 20 YEAR OLD FROM A SMALL TOWN NEAR AMSTERDAM. CURRENTLY STUDYING COMPUTER SCIENCE IN LEIDEN.

                                                                                  Source https://stackoverflow.com/questions/70406683

                                                                                  QUESTION

                                                                                  Context Menu not updating in SwiftUI
                                                                                  Asked 2021-Nov-29 at 18:53

                                                                                  I am trying to setup a SwiftUI .contextMenu with a button that toggle a Bool value. The context menu's button text is supposed to change when the Bool toggles. But the context menu doesn't update. Is there a way to force update the context menu?

                                                                                  Sample code depicting the issue:

                                                                                  import SwiftUI
                                                                                  
                                                                                  struct Item: Identifiable {
                                                                                      let id = UUID()
                                                                                      let user: String
                                                                                      var active: Bool
                                                                                  }
                                                                                  
                                                                                  struct ContentView: View {
                                                                                      @State var items: [Item] = [
                                                                                          Item(user: "Daniel",active: false),
                                                                                          Item(user: "Jack", active: true),
                                                                                          Item(user: "John", active: true)
                                                                                      ]
                                                                                      
                                                                                      @State var isOn : Bool = false
                                                                                      var body: some View {
                                                                                          List {
                                                                                              ForEach(items) { item in
                                                                                                  VStack {
                                                                                                      Text("\(item.user)")
                                                                                                          
                                                                                                      HStack {
                                                                                                          Text("Active ? ")
                                                                                                          Text(item.active ? "YES": "NO")
                                                                                                      }
                                                                                                  }.contextMenu{
                                                                                                      Button(action: {
                                                                                                          let index = items.firstIndex{$0.user == item.user}
                                                                                                          
                                                                                                          items[index!].active.toggle()
                                                                                                      }) {
                                                                                                          Text(item.active ? "Set as Active": "Set as Inactive")
                                                                                                      }
                                                                                                  }
                                                                                              }
                                                                                          }
                                                                                      }
                                                                                  }
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Nov-29 at 18:53

                                                                                  It's a bug in SwiftUI, and it is still broken in the simulator of Xcode 13.2 beta 2.

                                                                                  I managed to work around it by duplicating the list item in both branches of an if item.active statement, like this:

                                                                                  struct ContentView: View {
                                                                                      @State var items: [Item] = [
                                                                                          Item(user: "Daniel",active: false),
                                                                                          Item(user: "Jack", active: true),
                                                                                          Item(user: "John", active: true)
                                                                                      ]
                                                                                  
                                                                                      var body: some View {
                                                                                          List {
                                                                                              ForEach(items) { item in
                                                                                                  // work around SwiftUI bug where
                                                                                                  // context menu doesn't update
                                                                                                  if item.active { listItem(for: item) }
                                                                                                  else { listItem(for: item) }
                                                                                              }
                                                                                          }
                                                                                      }
                                                                                  
                                                                                      private func listItem(for item: Item) -> some View {
                                                                                          VStack {
                                                                                              Text("\(item.user)")
                                                                                  
                                                                                              HStack {
                                                                                                  Text("Active ? ")
                                                                                                  Text(item.active ? "YES": "NO")
                                                                                              }
                                                                                          }
                                                                                          .contextMenu {
                                                                                              Button(item.active ? "Deactivate" : "Activate") {
                                                                                                  if let index = items.firstIndex(where: { $0.id == item.id }) {
                                                                                                      items[index].active.toggle()
                                                                                                  }
                                                                                              }
                                                                                          }
                                                                                          .id(item.id)
                                                                                      }
                                                                                  }
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/70159437

                                                                                  QUESTION

                                                                                  Merging two Data frames with fuzzy merge/sqldf
                                                                                  Asked 2021-Nov-05 at 19:16

                                                                                  I have the following dataframes (df11 and df22) I'd like to do a merge/full join on with "UserID=UserID" and date difference <= 30 . So if the UserIDs match up AND the date's are less than or equal to 30, I'd like them merged into one singular row. I've looked at fuzzy join here and sqldf here but I can't figure out how to implement either of those for my data frames.

                                                                                  df1 <- structure(list(UserID = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L), 
                                                                                                        Full.Name = c( "John Smith", "Jack Peters", "Bob Brown", "Jane Doe", "Jackie Jane", "Sarah Brown", "Chloe Brown", "John Smith" ), 
                                                                                                        Info = c("yes", "no", "yes", "yes", "yes", "yes", "no", "yes"), 
                                                                                                        EncounterID = c(13L, 14L, 15L, 16L, 17L, 18L, 19L, 13L), DateTime = c("1/2/21 00:00", "1/5/21 12:00", "1/1/21 1:31", "1/5/21 3:34", "5/9/21 5:33", "5/8/21 3:39", "12/12/21 2:30", "12/11/21 9:21"), 
                                                                                                        Temp = c("100", "103", "104", "103", "101", "102", "103", "105"), 
                                                                                   
                                                                                                        misc = c("(null)", "no", "(null)", "(null)", "(null)","(null)", "(null)", "(null)" 
                                                                                                                      )), 
                                                                                                   class = "data.frame", row.names = c(NA, 
                                                                                                                                       -8L))
                                                                                  
                                                                                  df2 <- structure(list(UserID = c(1L, 2L, 3L, 4L, 5L, 6L), 
                                                                                                        Full.Name = c("John Smith", "Jack Peters", "Bob Brown", "Jane Doe", "Jackie Jane", "Sarah Brown"), 
                                                                                                        DOB = c("1/1/90", "1/10/90", "1/2/90", "2/20/80", "2/2/80", "12/2/80"), 
                                                                                                        EncounterID = c(13L, 14L, 15L, 16L, 17L, 18L), EncounterDate = c("1/1/21", "1/2/21", "1/1/21", "1/6/21", "5/7/21", "5/8/21"), 
                                                                                                        Type = c("Intro", "Intro", "Intro", "Intro", "Care", "Out"), 
                                                                                                        responses = c("(null)", "no", 
                                                                                                                      "yes", "no", "no", "unsat")), 
                                                                                                        
                                                                                                   class = "data.frame", row.names = c(NA, 
                                                                                                                                       -6L))
                                                                                  loadedNamespaces()
                                                                                  install.packages("Rcpp")
                                                                                  library(dplyr)
                                                                                  library(tidyr)
                                                                                  install.packages("lubridate")
                                                                                  library(lubridate)
                                                                                  
                                                                                  df11 <- 
                                                                                  df1 %>% 
                                                                                    separate(DateTime, c("Date", "Time"), sep=" ") %>% 
                                                                                    mutate(Date = as_datetime(mdy(Date))) %>% 
                                                                                    select(-Time) %>% 
                                                                                    as_tibble()
                                                                                  
                                                                                  df22 <-
                                                                                  df2 %>% 
                                                                                    mutate(across(c(EncounterDate), mdy)) %>% 
                                                                                    mutate(across(c(EncounterDate), as_datetime)) %>% 
                                                                                    as_tibble()
                                                                                  

                                                                                  @r2evans After running the first set of code, I get the following output. Which is slightly different from yours.

                                                                                  df11 <- mutate(df11, Date_m30 = Date %m-% days(30), Date_p30 = Date %m+% days(30))
                                                                                  df11
                                                                                  # A tibble: 8 x 7
                                                                                    UserID Full.Name   Info  EncounterID Date                Temp  misc  
                                                                                                                     
                                                                                  1      1 John Smith  yes            13 2021-01-02 00:00:00 100   (null)
                                                                                  2      2 Jack Peters no             14 2021-01-05 00:00:00 103   no    
                                                                                  3      3 Bob Brown   yes            15 2021-01-01 00:00:00 104   (null)
                                                                                  4      4 Jane Doe    yes            16 2021-01-05 00:00:00 103   (null)
                                                                                  5      5 Jackie Jane yes            17 2021-05-09 00:00:00 101   (null)
                                                                                  6      6 Sarah Brown yes            18 2021-05-08 00:00:00 102   (null)
                                                                                  7      7 Chloe Brown no             19 2021-12-12 00:00:00 103   (null)
                                                                                  8      1 John Smith  yes            13 2021-12-11 00:00:00 105   (null)
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Nov-05 at 17:59

                                                                                  One way is to first create "+/- 30 day" columns in one of them, then do a standard date-range join. Using sqldf:

                                                                                  Prep:

                                                                                  library(dplyr)
                                                                                  df11 <- mutate(df11, Date_m30 = Date %m-% days(30), Date_p30 = Date %m+% days(30))
                                                                                  df11
                                                                                  # # A tibble: 8 x 9
                                                                                  #   UserID Full.Name   Info  EncounterID Date                Temp  misc   Date_m30            Date_p30           
                                                                                  #                                                                
                                                                                  # 1      1 John Smith  yes            13 2021-01-02 00:00:00 100   (null) 2020-12-03 00:00:00 2021-02-01 00:00:00
                                                                                  # 2      2 Jack Peters no             14 2021-01-05 00:00:00 103   no     2020-12-06 00:00:00 2021-02-04 00:00:00
                                                                                  # 3      3 Bob Brown   yes            15 2021-01-01 00:00:00 104   (null) 2020-12-02 00:00:00 2021-01-31 00:00:00
                                                                                  # 4      4 Jane Doe    yes            16 2021-01-05 00:00:00 103   (null) 2020-12-06 00:00:00 2021-02-04 00:00:00
                                                                                  # 5      5 Jackie Jane yes            17 2021-05-09 00:00:00 101   (null) 2021-04-09 00:00:00 2021-06-08 00:00:00
                                                                                  # 6      6 Sarah Brown yes            18 2021-05-08 00:00:00 102   (null) 2021-04-08 00:00:00 2021-06-07 00:00:00
                                                                                  # 7      7 Chloe Brown no             19 2021-12-12 00:00:00 103   (null) 2021-11-12 00:00:00 2022-01-11 00:00:00
                                                                                  # 8      1 John Smith  yes            13 2021-12-11 00:00:00 105   (null) 2021-11-11 00:00:00 2022-01-10 00:00:00
                                                                                  

                                                                                  The join:

                                                                                  sqldf::sqldf("
                                                                                      select df11.*, df22.DOB, df22.EncounterDate, df22.Type, df22.responses
                                                                                      from df11
                                                                                        left join df22 on df11.UserID = df22.UserID
                                                                                          and df22.EncounterDate between df11.Date_m30 and df11.Date_p30") %>%
                                                                                    select(-Date_m30, -Date_p30)
                                                                                  #   UserID   Full.Name Info EncounterID                Date Temp   misc     DOB       EncounterDate  Type responses
                                                                                  # 1      1  John Smith  yes          13 2021-01-01 19:00:00  100 (null)  1/1/90 2020-12-31 19:00:00 Intro    (null)
                                                                                  # 2      2 Jack Peters   no          14 2021-01-04 19:00:00  103     no 1/10/90 2021-01-01 19:00:00 Intro        no
                                                                                  # 3      3   Bob Brown  yes          15 2020-12-31 19:00:00  104 (null)  1/2/90 2020-12-31 19:00:00 Intro       yes
                                                                                  # 4      4    Jane Doe  yes          16 2021-01-04 19:00:00  103 (null) 2/20/80 2021-01-05 19:00:00 Intro        no
                                                                                  # 5      5 Jackie Jane  yes          17 2021-05-08 20:00:00  101 (null)  2/2/80 2021-05-06 20:00:00  Care        no
                                                                                  # 6      6 Sarah Brown  yes          18 2021-05-07 20:00:00  102 (null) 12/2/80 2021-05-07 20:00:00   Out     unsat
                                                                                  # 7      7 Chloe Brown   no          19 2021-12-11 19:00:00  103 (null)                            
                                                                                  # 8      1  John Smith  yes          13 2021-12-10 19:00:00  105 (null)                            
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/69856811

                                                                                  QUESTION

                                                                                  Assigning value to pandas dataframe values for unique values in another column
                                                                                  Asked 2021-Oct-26 at 18:23

                                                                                  I have the following dataframe:

                                                                                  df = pd.DataFrame({"marks": [40, 60, 90, 20, 100, 10, 30, 70 ], "students": 
                                                                                                     ["Jack", "Jack", "Jack", "Jack", "John", "John", "John", "John"]}
                                                                                          )
                                                                                  
                                                                                     marks  students
                                                                                  0  40      Jack
                                                                                  1  60      Jack
                                                                                  2  90      Jack
                                                                                  3  20      Jack
                                                                                  4  100     John
                                                                                  5  10      John
                                                                                  6  30      John
                                                                                  7  70      John
                                                                                  

                                                                                  I am attempting to assign a student's average to his marks below 40 (the average will include the lowest mark).

                                                                                  I am aware of assigning a mark based on the < 40 condition (in this case I assigned the lowest mark of the df to all marks below 40), like so:

                                                                                  df.loc[df["marks"] < 40, "marks"] = df["marks"].min()
                                                                                  

                                                                                  But I am confused on how to potentially apply a lambda function on unique student names. Any help would be appreciated.

                                                                                  ANSWER

                                                                                  Answered 2021-Aug-15 at 13:50

                                                                                  You can combine a groupby and where:

                                                                                  df['corrected_marks'] = df['marks'].where(df['marks']>=40,
                                                                                                                            (df.groupby('students')
                                                                                                                               ['marks']
                                                                                                                               .transform('mean'))
                                                                                                                            )
                                                                                  

                                                                                  output:

                                                                                     marks students  corrected_marks
                                                                                  0     40     Jack             40.0
                                                                                  1     60     Jack             60.0
                                                                                  2     90     Jack             90.0
                                                                                  3     20     Jack             52.5
                                                                                  4    100     John            100.0
                                                                                  5     10     John             52.5
                                                                                  6     30     John             52.5
                                                                                  7     70     John             70.0
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/68792110

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                                                                                  Vulnerabilities

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                                                                                  Install jack

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