Codethink-LDAP-Sync | LDAP contact source/sync tool for Android | Data Processing library
kandi X-RAY | Codethink-LDAP-Sync Summary
kandi X-RAY | Codethink-LDAP-Sync Summary
LDAP contact source/sync tool for Android 2.x
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Top functions reviewed by kandi - BETA
- This method is called when the icicle is created
- Gets saved settings
- Helper method to apply setting to a specific setting
- Apply the settings to the settings
- Handle the create account
- Creates an account bundle
- Performs a search
- Connect to the server
- Called when the widget is created
- Fills the adapter with all entries
- Initialization from settings
- Remove the instance from the map
- This method is used to test the connection test
- Returns the dialog which shows the load failed dialog
- Use this method to use this menu
- Override this method if you want to show a dialog or not
- Pick base DN
- This method is used to add an account
- Override this to handle delete account selection
- Initializes the account list
- Called when a list item is clicked
- Sync sync
- Build the LDAP entry for a raw contact
- Save instance state
- Build the data store for the operation
- Invoked when the dialog is created
Codethink-LDAP-Sync Key Features
Codethink-LDAP-Sync Examples and Code Snippets
Community Discussions
Trending Discussions on Data Processing
QUESTION
I have a series of data processing as below:
- I have two list which contain the data I need.
- I append the lists into a new list. [tableList]
- Convert the list into dataframe and exported it into csv file. [tableDf]
Here's simplified contents of tableList:
...ANSWER
Answered 2022-Mar-23 at 14:41just to provide a convtools based alternative option:
QUESTION
I have a dataframe extracted from a csv file. I want to iterate a data process where only some of the columns's data is the mean of n rows, while the rest of the columns is the first row for each iteration.
For example, the data extracted from the csv consisted of 100 rows and 6 columns. I have a variable n_AVE = 6, which tells the code to average the data per 6 rows.
...ANSWER
Answered 2022-Mar-11 at 05:00You can group the dataframe by the grouper np.arange(len(df)) // 6 which groups the dataframe every six rows, then aggregate the columns using the desired aggregation functions to get the result, optionally reindex along axis=1 to reorder the columns
QUESTION
To generate a csv file where each column is a data of sine wave of frequency 1 Hz, 2 Hz, 3Hz, 4Hz, 5Hz, 6Hz and 7 Hz. The amplitude is one volt. There should be 100 points in one cycle and thus 700 points in seven waves.
...ANSWER
Answered 2022-Mar-03 at 13:45Here is how I will go about it:
QUESTION
I'm trying to train a neural network made with the Keras Functional API with one of the default TFDS Datasets, but I keep getting dataset related errors.
The idea is doing a model for object detection, but for the first draft I was trying to do just plain image classification (img, label). The input would be (256x256x3) images. The input layer is as follows:
...ANSWER
Answered 2022-Mar-02 at 07:54I think the problem is that each image can belong to multiple classes, so I would recommend one-hot encoding the labels. It should then work. Here is an example:
QUESTION
I have a pandas dataframe that contains only one column which contains a string. I want to apply a function to each row that will split the string by sentence and replace that row with rows generated from the function.
Example dataframe:
...ANSWER
Answered 2022-Feb-15 at 20:32Convert all your strings to a 'flat' list, and build a new DataFrame or Series of that.
QUESTION
I want to achieve this specific task, I have 2 files, the first one with emails and credentials:
...ANSWER
Answered 2021-Nov-16 at 18:02The duplication issue comes from the fact that you are reading two files in a nested way, once a line from the test.txt is read, you open the location.txt file for reading and process it. Then, you read the second line from test.txt, and re-open the location.txt and process it again.
Instead, get all the necessary data from the location.txt, say, into a dictionary, and then use it while reading the test.txt:
QUESTION
In order to create PlaceKey for addresses to link some of my tables, I need to split an address column in SnowFlake.
I am not familiar with JavaScript, but I tried Javascript UDF in SnowFlake. Then I don't know how to deal with the addresses like '123_45ThSt'.
The output of my function is like '123_45 Th St'. I am stuck here.
The expected output is '123 45Th St'. Hope someone could help me out. Much appreciated!
Below is another example and my SnowFlake SQL code:
...ANSWER
Answered 2021-Oct-03 at 22:38Assuming the format of street address, which includes number + word (ends with lower case or number) + word (start with upper case), I have below solution:
QUESTION
I have a sample of the dataframe as given below.
...ANSWER
Answered 2021-Aug-26 at 17:47Try:
QUESTION
I have two dataframes from which a new dataframe has to be created. The first one is given below.
...ANSWER
Answered 2021-Aug-25 at 21:23You can use .merge + boolean-indexing:
QUESTION
I try to open a file with openpyxl but only get the error:
raise BadZipFile("File is not a zip file") zipfile.BadZipFile: File is not a zip file
A simple code example:
...ANSWER
Answered 2021-Aug-07 at 21:20The excel files were in read-only mode. I saved the file as a new file and load_workbook worked.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Codethink-LDAP-Sync
You can use Codethink-LDAP-Sync like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Codethink-LDAP-Sync component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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