delta | A syntax-highlighting pager for git, diff, and grep output
kandi X-RAY | delta Summary
kandi X-RAY | delta Summary
A syntax-highlighting pager for git, diff, and grep output
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of delta
delta Key Features
delta Examples and Code Snippets
def delta(self):
"""Compute delta of StreamingAccuracyStats against last status."""
fp_delta = self._how_many_fp - self._previous_fp
w_delta = self._how_many_w - self._previous_w
c_delta = self._how_many_c - self._previous_c
if fp
public static int[] computeDeltaArray(char[] array) {
int[] deltas = new int[array.length];
int delta = 0;
for (int i = 0; i < array.length; i++) {
if (Character.isLetter(array[i])) {
delta++;
} else if (Character.isDigit(array[i])
public static int[] getPopulationDeltas(Person[] people, int min, int max) {
int[] populationDeltas = new int[max - min + 2];
for (Person person : people) {
int birth = person.birth - min;
populationDeltas[birth]++;
int death = perso
Community Discussions
Trending Discussions on delta
QUESTION
git gc
error: Could not read 0000000000000000000000000000000000000000
Enumerating objects: 147323, done.
Counting objects: 100% (147323/147323), done.
Delta compression using up to 4 threads
Compressing objects: 100% (36046/36046), done.
Writing objects: 100% (147323/147323), done.
Total 147323 (delta 91195), reused 147323 (delta 91195), pack-reused 0
...ANSWER
Answered 2022-Mar-28 at 14:18This error is harmless in the sense that it does not indicate a broken repository. It is a bug that was introduced in Git 2.35 and that should be fixed in later releases.
The worst that can happen is that git gc
does not prune all objects that are referenced from reflogs.
The error is triggered by an invocation of git reflog expire --all
that git gc
does behind the scenes.
The trigger are empty reflog files in the .git/logs
directory structure that were left behind after a branch was deleted. As a workaround you can remove these empty files. This command lets you find them and check their size:
QUESTION
If I run git fetch origin
and then git checkout
on a series of consecutive commits, I get a relatively small repo directory.
But if I run git fetch origin
and then git checkout FETCH_HEAD
on the same series of commits, the directory is relatively bloated. Specifically, there seem to be a bunch of large packfiles.
The behavior appears the same whether the commits are all in place at the time of the first fetch
or if they are committed immediately before each fetch.
The following examples use a public repo, so you can reproduce the behavior.
Why is the directory size of example 2 so much larger?
Example 1 (small):
...ANSWER
Answered 2022-Mar-25 at 19:08Because each fetch produces its own packfile and one packfile is more efficient than multiple packfiles. A lot more efficient. How?
First, the checkouts are a red herring. They don't affect the size of the .git/ directory.
Second, in the first example only the first git fetch origin
does anything. The rest will fetch nothing (unless something changed on origin).
Compression works by finding common long sequences within the data and reducing them to very short sequences. If
long block of legal mumbo jumbo
appears dozens of times it could be replaced with a few bytes. But the original long string must still be stored. If there's a single packfile it must only be stored once. If there's multiple packfiles it must be stored multiple times. You are, effectively, storing the whole history of changes up to that point in each packfile.
We can see in the example below that the first packfile is 113M, the second is 161M, the third is 177M, and the final fetch is 209M. The size of the final packfile is roughly equal to the size of the single garbage compacted packfile.
Why do multiple fetches result in multiple packfiles?git fetch
is very efficient. It will only fetch objects you not already have. Sending individual object files is inefficient. A smart Git server will send them as a single packfile.
When you do a single git fetch
on a fresh repository, Git asks the server for every object. The remote sends it a packfile of every object.
When you do git fetch ABC
and then git fetch DEF
s, Git tells the server "I already have everything up to ABC, give me all the objects up to DEF", so the server makes a new packfile of everything from ABC to DEF and sends it.
Eventually your repository will do an automatic garbage collection and repack these into a single packfile.
We can reduce the examples. I'm going to use Rails to illustrate because it has clearly defined tags to fetch.
QUESTION
I have a dataframe that contains for a specific timestamp, the number of items on a specific event.
...ANSWER
Answered 2022-Mar-14 at 01:37DataFrame.rolling
is what you are looking for. The function only works if your dataframe's index is a Timestamp series:
QUESTION
Can someone let me know how to create a table in Azure Databricks from a table that exists on Azure sql server? (assuming Databricks already has a jdbc connection to the sql server).
For example, the following will create a table if it doesn't exist from a location in my datalake.
...ANSWER
Answered 2022-Feb-24 at 11:41You need to establish a connection to SQL Server using JDBC driver and create JDBC URL in order to access table in Azure SQL server.
For more information, please check Establish connectivity to SQL Server.
QUESTION
Today when I added a workflow and push the code to GitHub remote repo, shows this error:
...ANSWER
Answered 2021-Aug-17 at 05:15QUESTION
EDIT [resolved]
based on the answer from Thingamabobs below, the approach simply turns out to be making sure the elements you spawn are allocated to correct parents.
It is worthwhile to create a frame just to hold every scrollable element since you can't move widgets around between parents when using pack/place
. So a common parents between all movable
elements will give you the freedom to move them around, again just create a holder frame. See the answer and discussion below for more details.
EDIT2
Bryan's answer below has very good info and an alternate approach using just a canvas. The core concepts still stand the same.
original question begins here
The situationSo based on this answer by Bryan, I used this approach to spawn widgets on a scrollable frame
(which is basically a Canvas
wrapping a frame inside as we know cause Frames don't have scroll attributes).
The widgets in this case are just tk.Button
s which I spawn in a loop using lambda to preserve state. That aspect is completely fine.
Now everything works fine except when I spawn more elements (again just buttons), they seem to be cut off. and I can't seem to scroll down to see the remaining ones. I am only able to scroll upwards only to see empty space.
please see the video below to see what I mean (excuse my horrible color choices, this is for a quick demo)
In the video, there are more elements below template47
but I can not scroll to them. I can scroll upwards but it's just lonely up there. All the names are actually buttons with zero bd
and HLthickness
.
To begin, my first instinct was to attach a ttk.scrollbar
to the canvas+frame
, which I did but observed the exact same behavior.
Then I tried to see if i could use .moveTo('1.0')
to scroll down to last entry and then since upward scrolling works already, shouldn't have an issue. But this didn't do anything either. Still the elements were cut off, and it obviously messed up upward scrolling too.
I don't think I can use pack/grid
geoManagers since as the answer by bryan i linked to above suggests, using place
with its in_
arg is the preferred way. If it is possible otherwise, let me know though.
as depicted in the answer linked above, I also have two frames, and I'm using the on_click callback function to switch parents (a lot like in example code in answer). Turned out place was the best bet to achieve this. and it is, all of that aspect is working well. It's just the scroll thingy which doesn't work.
some code (dare i say MCVE)how i bind to mousewheel
...ANSWER
Answered 2021-Dec-27 at 14:37The main issue is that you are using place
and with place you will be the allmighty over the widget, means there will be no requested size to the master or any other magic tkinter provides in the background. So I do recommand to use another geometry manager that does that magic for you like pack. Also note that I set the anchor to nw
.
In addition it appears that you can only use the optional argument in_
in a common master. So the key of that concept is to have an holder frame that is used as master parameter and use the in_
for children that are able to hold widgets.
QUESTION
I couldn't find a question similar to the one that I have here. I have a very large named list of named vectors that match column names in a dataframe. I would like to use the list of named vectors to replace values in the dataframe columns that match each list element's name. That is, the name of the vector in the list matches the name of the dataframe column and the key-value pair in each vector element will be used to recode the column.
Reprex below:
...ANSWER
Answered 2021-Dec-13 at 04:44One work around would be to use your map2_dfr
code, but then bind the columns that are needed to the map2_dfr
output. Though you still have to drop the names column.
QUESTION
I have an app made with React, Node.js and Socket.io
I deployed Node backend to heroku , frontend to Netlify
I know that CORS errors is related to server but no matter what I add, it just cant go through that error in the picture below.
I also added proxy script to React's package.json as "proxy": "https://googledocs-clone-sbayrak.herokuapp.com/"
And here is my server.js
file;
ANSWER
Answered 2021-Dec-14 at 18:27Looks like you haven't imported the cors package. Is it imported anywhere else?
QUESTION
What are the major differences between S3 lake formation governed tables and databricks delta tables? they look pretty similar.
...ANSWER
Answered 2021-Dec-12 at 19:18Governed tables, Delta Lake, and to some extent also Apache Iceberg and Hudi are all tabular data formats. Instead of storing data solely in raw formats (parquet, orc, avro) tablular formats have additional manifest files which provides metadata about which files are present in a table during a certain state. This allows them all to enable features like ACID transactions, time-travel, and snapshotting. The main difference right now is which big data tools they can integrate with.
AWS Governed tables is a Lake Formation offering and thus lets you govern access of data catalog objects (database, table, and column) through the Lake Formation permission model. It also offers integration with AWS query engines: Redshift Spectrum, Glue, and Athena. EMR Spark is not yet supported. It also provides ACID transactions, time traveling, and snapshotting.
Delta Lakes provides ACID transactions, time traveling, and snapshotting on Spark. It also supports Spark streaming and data mutation.
QUESTION
how to find the difference between two last versions of a Delta Table ? Here is as far as I went using dataframes :
...ANSWER
Answered 2021-Nov-26 at 07:19This return a data frame with the comparative
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