sift | A fast and powerful alternative to grep

by svent Go Version: v0.9.0 License: GPL-3.0

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | sift Summary

sift is a Go library. sift has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

A fast and powerful open source alternative to grep.

Support

Quality

Security

License

Reuse

Support

sift has a medium active ecosystem.

It has 1562 star(s) with 113 fork(s). There are 47 watchers for this library.

It had no major release in the last 12 months.

There are 39 open issues and 61 have been closed. On average issues are closed in 73 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sift is v0.9.0

Quality

sift has 0 bugs and 0 code smells.

Security

sift has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sift code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sift is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

sift releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 2567 lines of code, 62 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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sift Key Features

No Key Features are available at this moment for sift.

sift Examples and Code Snippets

Sift down down to the given index .

python

Lines of Code : 23

License : Permissive (MIT License)

Copy

def sift_down(self, idx, array):
        while True:
            l = self.get_left_child_idx(idx)  # noqa: E741
            r = self.get_right_child_idx(idx)

            smallest = idx
            if l < len(array) and array[l] < array[idx]:

Sift up the heap up to the given index .

python

Lines of Code : 10

License : Permissive (MIT License)

Copy

def sift_up(self, idx):
        p = self.get_parent_idx(idx)
        while p >= 0 and self.heap[p] > self.heap[idx]:
            self.heap[p], self.heap[idx] = self.heap[idx], self.heap[p]
            self.idx_of_element[self.heap[p]], self.idx

Community Discussions

Trending Discussions on sift

Why does the Python heapq _siftup(...) call _siftdown(...) at the end?

Best way to combine SIFT and ORB descriptors in OpenCV

How to select a random component in React

checking whether a word from a vector appears in the same row in different columns of a data frame

Dask dataframe: Can `set_index` put a single index into multiple partitions?

Git workflow with many modified files not for check-in?

How do I get the IPv4 address of my server application?

Meraki API call get.organisation/uplinks find failed connections and translate networkid into a network name

How can I select columns in a Pandas DataFrame by datatype?

QUESTION

Why does the Python heapq _siftup(...) call _siftdown(...) at the end?

Asked 2022-Mar-28 at 10:22

The code for_siftup at github - python/cpython/Lib/heapq.py has a final call to _siftdown:

...

ANSWER

Answered 2022-Mar-28 at 10:22

This is the consequence of a particular choice the authors made in the algorithm.

More common is an algorithm where this final _siftdown() is not necessary, but then the loop must stop when newitem < heap[childpos], after which pos will be a valid spot for newitem and no more sifting is needed.

In this version however, the loop continues until a leaf is found, and newitem is placed at a leaf spot. This may not be a valid spot for newitem, so the extra call is needed to go back up to a valid spot.

In the comment block that precedes this function, the authors have explained why they made this choice, which at first seems to be less efficient, but in practice turns out to result in fewer comparisons:

We could break out of the loop as soon as we find a pos where newitem <= both its children, but turns out that's not a good idea, and despite that many books write the algorithm that way. During a heap pop, the last array element is sifted in, and that tends to be large, so that comparing it against values starting from the root usually doesn't pay (= usually doesn't get us out of the loop early). See Knuth, Volume 3, where this is explained and quantified in an exercise.

The change improves the linear-time heap-building phase somewhat, but is more significant in the second phase. Like ordinary heapsort, each iteration of the second phase extracts the top of the heap, a[0], and fills the gap it leaves with a[end], then sifts this latter element down the heap. But this element comes from the lowest level of the heap, meaning it is one of the [greatest]^* elements in the heap, so the sift-down will likely take many steps to move it back down. In ordinary heapsort, each step of the sift-down requires two comparisons, to find the [maximum]^* of three elements: the new node and its two children.
_{^* The article has "smallest" and "minimum" since it discusses a max-heap, not a min-heap as is what heapq provides.}

It is a pitty that Wikipedia discusses this in the context of heapsort, since it applies to heap interactions even when the heap does not serve a heapsort process.

Source https://stackoverflow.com/questions/71632226

QUESTION

Compute similarity measure in feature matching (BFMatcher) in OpenCV

Asked 2022-Mar-15 at 23:03

I am comparing images and I have used BFMatcher to perform feature matching

My actual code is:

...

ANSWER

Answered 2022-Mar-15 at 23:03

I have finally done this, which seems to work well:

Source https://stackoverflow.com/questions/71473619

QUESTION

Best way to combine SIFT and ORB descriptors in OpenCV

Asked 2022-Mar-15 at 22:59

I need to combine SIFT and ORB descriptors of an image.

As you know, SIFT descriptors are of 128-length and ORB descriptors are of 32-length.

At this moment what I do is:

Reshaping SIFT descriptors to 32-length. For instance, reshape a (135, 128) descriptor to a (540, 32) descriptor
Concatenating SIFT and ORB descriptors (since at this moment both have 32-length)

Code:

...

ANSWER

Answered 2022-Mar-15 at 22:59

In case someone is interested, what I have finally done is to use ORB in order to detect the images keypoints and use SIFT to compute descriptors from that keypoints

Code:

Source https://stackoverflow.com/questions/71468192

QUESTION

How to select a random component in React

Asked 2021-Dec-24 at 22:51

I'm trying to create a dynamic website that loads a header component at random on every refresh. No matter which approach I take, it works fine on the initial load and then throws this error every refresh after:

...

ANSWER

Answered 2021-Dec-24 at 22:51

I noticed that you already tried editing babelrc file, but can you try add this

Source https://stackoverflow.com/questions/70476881

QUESTION

checking whether a word from a vector appears in the same row in different columns of a data frame

Asked 2021-Dec-24 at 18:04

I am trying to troubleshoot my data, and check whether a certain name appears in two different columns in the same row (same observation):

...

ANSWER

Answered 2021-Dec-24 at 15:21

I include a dplyr approach:

Source https://stackoverflow.com/questions/70473885

QUESTION

Dask dataframe: Can `set_index` put a single index into multiple partitions?

Asked 2021-Dec-01 at 02:25

Empirically it seems that whenever you set_index on a Dask dataframe, Dask will always put rows with equal indexes into a single partition, even if it results in wildly imbalanced partitions.

Here is a demonstration:

...

ANSWER

Answered 2021-Oct-19 at 10:45

Is it the case that a single index can never be in two different partitions?

IIUC, the answer for practical purposes is yes.

A dask dataframe will in general have multiple partitions and dask may or may not know about the index values associated with each partition (see Partitions). If dask does know which partition contains which index range, then this will be reflected in df.divisions output (if not, the result of this call will be None).

When running .set_index, dask will compute divisions and it seems that in determining the divisions it will require that divisions are sequential and unique (except for the last element). The relevant code is here.

So two potential follow-up questions: why not allow any non-sequential indexing, and as a specific case of the previous, why not allow duplicate indexes in partitions.

With regards to the first question: for smallish data it might be feasible to think about a design that allows non-sorted indexing, but you can imagine that a general non-sorted indexing won't scale well, since dask will need to store indexes for each partition somehow.

With regards to the second question: it seems that this should be possible, but it also seems that right now it's not implemented correctly. See the snippet below:

Source https://stackoverflow.com/questions/69570717

QUESTION

Git workflow with many modified files not for check-in?

Asked 2021-Nov-11 at 15:36

Using git and a workflow where I have many loose changes that are not intended for check-in. Is there a good git way to manage those not-for-check-in modified files?

In my project, we have about 700,000 source files. I'd call it a larger project.

When I am working on fixing a bug or implementing a feature, I will quite frequently end up with many files that I have made ancillary edits. Such as debugging instrumentation, or alternative implementation, or an expensive check for a never-happen situation that once appears to have happened in the wild and I want to catch it if it ever happens on my machine, or clang-format because the original had goofy formatting.

To commit my good changes, I'll branch, I carefully add the relevant files and commit those. (Followed by a push of my changes. Make a PR. Get code review approval. Jenkins builds on all the dozen different target platforms, and runs the test suite. Then I merge my branch into main.)

Probably a fairly typical workflow... except for that I have many (1000+) not-for-check-in files that I want to keep modified in my worktree, but not merge those into main. That latter part is probably atypical.

With Perforce, I would add my not-for-check-in files into a not-for-check-in changelist and park them there. They'd be out of the way, and I could not accidentally pull one of those "tainted" files without taking steps to move it out of the not-for-check-in changelist.

So far, my git tactic of being super-duper careful has worked, but seems fraught with peril. I maintain a stash.txt file that has a list of my not-for-check-in files, and frequently stash them to temporarily get them out of the way, do my git things (making branches, fetch, merge, push, whatever), and stash pop them back in my worktree. Seems janky, manual, and error prone; high cognitive load. Has to be a better way.

(I have not run into the scenario when I have a single file that has both good changes and not-for-check-in changes. If/when I do, I am aware of how to add-and-commit hunks of changes.)

I have tried the tactic of making a branch, add-and-commit both my good changes and not-for-check-in changes. Then cherry pick the good changes for what should go into main. That scales poorly with the 1000s of not-for-check-in files that need to be sifted through.

Any advice or guidance is appreciated.

...

ANSWER

Answered 2021-Nov-11 at 15:36

Using git worktree, I would work with two separate working tree (from the same cloned repository: no need to clone twice)

one for the work in progress, with many files not to be added
one for reporting the work which needs to be added: no stash to maintain in this one.

Does Git support multiple concurrent index (or staging), which would be the analog to Perforce changelist?

Not really: it would be easier to make multiple commits:

one your PR
one for the rest

And push only the first commit (for PR).

From the discussion:

"How can I make Git "forget" about a file that was tracked, but is now in .gitignore?" uses git update-index --skip-worktree, which I don't find very practical, or easier than git stash.
git rebase -i follwoed by git push : should be enough

Source https://stackoverflow.com/questions/69928486

QUESTION

How do I get the IPv4 address of my server application?

Asked 2021-Nov-10 at 09:36

Even after sifting through many related posts I can't seem to find a suitable answer. I have a winsock2 application (code for server setup is adapted for my needs from the microsoft documentation) and I simply want to display the server IPv4 address after binding. This is the code I have so far (placed after binding to the ListenSocket):

...

ANSWER

Answered 2021-Nov-10 at 09:36

Example code from Microsoft

Source https://stackoverflow.com/questions/69909294

QUESTION

Meraki API call get.organisation/uplinks find failed connections and translate networkid into a network name

Asked 2021-Oct-28 at 13:11

I've been looking for a few weeks and nowhere have i found anything that could help me with this specific problem.

I got a large output from an API call (Meraki) i'm looking to extract certain features out of the list.

Task: read output from API call, loop through output until status 'failed' is detected and print the interface and networkId of that item turn the networkId into a network name from a predefined list, and continue to print all "failed interfaces" till end of output.

The API call gets the entire organisation and i want to match the list of networkid's with Network names (since they aren't added in the same API call) so its readable what network has which interface that failed.

The output contains a lot of data , and i don't need all of those output values like IP, gateway, DNS, etc.

an example of the output from the API call:

...

ANSWER

Answered 2021-Oct-28 at 13:11

Based on your sample output, looks like you have got the network ID only once in response and interface and is seen many times as part of Uplink attribute, Hence, you can parse the API response as a Json object and have the network names - network ID mapping in a dictionary and do something like below to get the failed status

Source https://stackoverflow.com/questions/69707701

QUESTION

How can I select columns in a Pandas DataFrame by datatype?

Asked 2021-Jul-31 at 22:41

I have a pandas dataframe of a standard shape:

...

ANSWER

Answered 2021-Jul-31 at 22:41

You can use select_dtypes to get only the columns in a dataframe that match a specific type. For example, to get just the float columns you'd use:

Source https://stackoverflow.com/questions/68606157

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sift

You can download binaries for the current version at https://sift-tool.org/download. sift is available for Linux, Windows, OS X and *BSD.
Download and install the binary from http://sift-tool.org/download:.
If you have a working go environment, you can install sift using "go get":.

Support

If you found a bug, please check the open issues and the limitations and restrictions described in the documentation. If you cannot find any documentation about it, please open a new issue, name the sift version you used and describe the steps to reproduce the problem.

Find more information at: