seed | Seed Framework 2 | REST library

by fungos C Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | seed Summary

seed is a C library typically used in Web Services, REST, Framework applications. seed has no bugs, it has no vulnerabilities and it has low support. However seed has a Non-SPDX License. You can download it from GitHub.

Welcome to Seed Framework.

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Support

seed has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

seed has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seed is current.

Quality

seed has 0 bugs and 0 code smells.

Security

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

seed code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

seed has a Non-SPDX License.

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.

Reuse

seed releases are not available. You will need to build from source code and install.

It has 134 lines of code, 12 functions and 2 files.

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

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seed Key Features

No Key Features are available at this moment for seed.

seed Examples and Code Snippets

Set random seed .

python

Lines of Code : 148

License : Non-SPDX (Apache License 2.0)

Copy

def set_seed(seed):
  """Sets the global random seed.

  Operations that rely on a random seed actually derive it from two seeds:
  the global and operation-level seeds. This sets the global seed.

  Its interactions with operation-level seeds is as

Set random seed .

python

Lines of Code : 111

License : Non-SPDX (Apache License 2.0)

Copy

def set_random_seed(seed):
  """Sets the graph-level random seed for the default graph.

  Operations that rely on a random seed actually derive it from two seeds:
  the graph-level and operation-level seeds. This sets the graph-level seed.

  Its in

Returns the seed for the given operation .

python

Lines of Code : 54

License : Non-SPDX (Apache License 2.0)

Copy

def get_seed(op_seed):
  """Returns the local seeds an operation should use given an op-specific seed.

  Given operation-specific seed, `op_seed`, this helper function returns two
  seeds derived from graph-level and op-level seeds. Many random oper

Community Discussions

Trending Discussions on seed

Call to undefined method App\Models\Category::factory() laravel

Padding scipy affine_transform output to show non-overlapping regions of transformed images

Fast method of getting all the descendants of a parent

ggplot geom_tile is distorted in ggplotly

How to pass a dynamic column name in a pipe in custom function in R

Why is QuackSort 2x faster than Data.List's sort for random lists?

Error in importing environment OpenAI Gym

How to speed up the agg of pandas groupby bins?

can't install cargo wasm-pack

Any speedier way to randomly subset vectors inside a list?

QUESTION

Call to undefined method App\Models\Category::factory() laravel

Asked 2022-Mar-31 at 13:28

I have the error stated above, and here is the copy log

...

ANSWER

Answered 2021-Aug-01 at 00:51

You need to use the factory trait for the model to have the factory() method available.

Source https://stackoverflow.com/questions/68606726

QUESTION

Padding scipy affine_transform output to show non-overlapping regions of transformed images

Asked 2022-Mar-28 at 11:54

I have source (src) image(s) I wish to align to a destination (dst) image using an Affine Transformation whilst retaining the full extent of both images during alignment (even the non-overlapping areas).

I am already able to calculate the Affine Transformation rotation and offset matrix, which I feed to scipy.ndimage.interpolate.affine_transform to recover the dst-aligned src image.

The problem is that, when the images are not fuly overlapping, the resultant image is cropped to only the common footprint of the two images. What I need is the full extent of both images, placed on the same pixel coordinate system. This question is almost a duplicate of this one - and the excellent answer and repository there provides this functionality for OpenCV transformations. I unfortunately need this for scipy's implementation.

Much too late, after repeatedly hitting a brick wall trying to translate the above question's answer to scipy, I came across this issue and subsequently followed to this question. The latter question did give some insight into the wonderful world of scipy's affine transformation, but I have as yet been unable to crack my particular needs.

The transformations from src to dst can have translations and rotation. I can get translations only working (an example is shown below) and I can get rotations only working (largely hacking around the below and taking inspiration from the use of the reshape argument in scipy.ndimage.interpolation.rotate). However, I am getting thoroughly lost combining the two. I have tried to calculate what should be the correct offset (see this question's answers again), but I can't get it working in all scenarios.

Translation-only working example of padded affine transformation, which follows largely this repo, explained in this answer:

...

ANSWER

Answered 2022-Mar-22 at 16:44

If you have two images that are similar (or the same) and you want to align them, you can do it using both functions rotate and shift :

Source https://stackoverflow.com/questions/71516584

QUESTION

Fast method of getting all the descendants of a parent

Asked 2022-Feb-25 at 08:17

With the parent-child relationships data frame as below:

...

ANSWER

Answered 2022-Feb-25 at 08:17

We can use ego like below

Source https://stackoverflow.com/questions/71022350

QUESTION

ggplot geom_tile is distorted in ggplotly

Asked 2022-Feb-22 at 17:27

I am trying to convert a geom_tile plot built with ggplot to ggplotly. However, the tiles are distorted in plotly. The same issues takes place with geom_raster.

Showcase:

...

ANSWER

Answered 2022-Feb-22 at 17:27

Looking at the plotly code here (excerpt below), it seems that the raster is only defined for any values of x and y available in the dataset - and whatever happens in between is up the the rest of the plotly code.

Source https://stackoverflow.com/questions/71188611

QUESTION

How to pass a dynamic column name in a pipe in custom function in R

Asked 2022-Feb-07 at 08:03

I've created a dynamic column name w/ dplyr::mutate() based on this thread Use dynamic variable names in `dplyr` and now I want to sort the new column.... but I'm not correctly passing the column name

...

ANSWER

Answered 2022-Feb-07 at 07:47

Unfortunately I don't know if any way to use that nice glue syntax with anything that's not on the left side of a :=. That's there the magic happens. You can get something to work if you take care of the explicity conversion to sumbol your self and do the string building manually. It's not pretty, but this works

Source https://stackoverflow.com/questions/71014763

QUESTION

Why is QuackSort 2x faster than Data.List's sort for random lists?

Asked 2022-Jan-27 at 19:24

I was looking for the canonical implementation of MergeSort on Haskell to port to HOVM, and I found this StackOverflow answer. When porting the algorithm, I realized something looked silly: the algorithm has a "halve" function that does nothing but split a list in two, using half of the length, before recursing and merging. So I thought: why not make a better use of this pass, and use a pivot, to make each half respectively smaller and bigger than that pivot? That would increase the odds that recursive merge calls are applied to already-sorted lists, which might speed up the algorithm!

I've done this change, resulting in the following code:

...

ANSWER

Answered 2022-Jan-27 at 19:15

Your split splits the list in two ordered halves, so merge consumes its first argument first and then just produces the second half in full. In other words it is equivalent to ++, doing redundant comparisons on the first half which always turn out to be True.

In the true mergesort the merge actually does twice the work on random data because the two parts are not ordered.

The split though spends some work on the partitioning whereas an online bottom-up mergesort would spend no work there at all. But the built-in sort tries to detect ordered runs in the input, and apparently that extra work is not negligible.

Source https://stackoverflow.com/questions/70856865

QUESTION

Error in importing environment OpenAI Gym

Asked 2022-Jan-10 at 09:43

I am trying to run an OpenAI Gym environment however I get the following error:

...

ANSWER

Answered 2021-Oct-05 at 01:37

Code works for me with gym 0.18.0 and 0.19.0 but not with 0.20.0

You may downgrade it with

Source https://stackoverflow.com/questions/69442971

QUESTION

How to speed up the agg of pandas groupby bins?

Asked 2021-Dec-23 at 10:16

I have created different bins for each column and grouped the DataFrame based on these.

...

ANSWER

Answered 2021-Dec-22 at 16:39

Because your bins are the same for your 3 columns, use codes from cat accessor:

Source https://stackoverflow.com/questions/70452146

QUESTION

can't install cargo wasm-pack

Asked 2021-Nov-24 at 20:29

When i run cargo install wasm-pack on windows 10 64-bit i get this error:

...

ANSWER

Answered 2021-Aug-04 at 07:28

Make sure you have the development packages of Open SSL installed. For example, libssl-dev on Ubuntu or openssl-devel on Fedora. If OpenSSL is already installed and the crate still had trouble finding it, you can set the OPENSSL_DIR environment variable to specify the path for your Open SSL installation. If you are using windows you can use the Win32/Win64 OpenSSL Installation Project to provide a simple installation of OpenSSL on windows.

Source https://stackoverflow.com/questions/68646684

QUESTION

Any speedier way to randomly subset vectors inside a list?

Asked 2021-Nov-03 at 15:52

I'm looking for a speedy solution for randomly subsetting vectors nested in a list.

If we simulate the following data, we get a list l that holds 3 million vectors inside, each one is of length 5. But I want the length of each vector to vary. So I thought I should apply a function that randomly subsets each vector. The problem is, this method is not as speedy as I wished.

simulate data: the list l

...

ANSWER

Answered 2021-Nov-01 at 15:35

Simplify the sampling function:

Source https://stackoverflow.com/questions/69798599

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

Vulnerabilities

No vulnerabilities reported

Install seed

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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