Criterion | A cross-platform C and C++ unit testing framework for the 21st century | Unit Testing library

by Snaipe C Version: v2.4.2-rc-4-g9c01cbe License: MIT

X-Ray Key Features Code Snippets(4)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Criterion Summary

Criterion is a C library typically used in Testing, Unit Testing, Pytorch, Framework applications. Criterion has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

A dead-simple, yet extensible, C and C++ unit testing framework.

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Criterion has a medium active ecosystem.

It has 1748 star(s) with 166 fork(s). There are 53 watchers for this library.

It had no major release in the last 12 months.

There are 46 open issues and 286 have been closed. On average issues are closed in 109 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Criterion is v2.4.2-rc-4-g9c01cbe

Quality

Criterion has 0 bugs and 0 code smells.

Security

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

Criterion code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Criterion is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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Criterion releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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Criterion Key Features

No Key Features are available at this moment for Criterion.

Criterion Examples and Code Snippets

FORMAT SELECTION

pypi

Lines of Code : 14

License : No License

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# Download best mp4 format available or any other best if no mp4 available
$ youtube-dl -f 'bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best'

# Download best format available but no better than 480p
$ youtube-dl -f 'bestvideo[height<=480]

Initialize the function .

python

Lines of Code : 36

License : Non-SPDX (Apache License 2.0)

Copy

def __init__(self, *input_types, **kwargs):
    """Create a `Defun` decorator.

    Args:
      *input_types: A list of `tf.DType`
      **kwargs: Optional keyword arguments, including
         func_name - (optional).  A python string, the name to us

Initialize this element .

python

Lines of Code : 27

License : Non-SPDX (Apache License 2.0)

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def __init__(self,
               criterion,
               description=None,
               font_attr=DEFAULT_TENSOR_ELEMENT_HIGHLIGHT_FONT_ATTR):
    """Constructor of HighlightOptions.

    Args:
      criterion: (callable) A callable of the follo

Set the discounted value of this criterion .

java

Lines of Code : 3

License : No License

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public void setDiscounted(Integer discounted) {
    this.discounted = discounted;
  }

Community Discussions

Trending Discussions on Criterion

Actively update DOM on keyup in an input, check to see if the input value is included as a value within properties of an array of objects

R keep rows with maximum value of one column when multiple rows have values close to each other in an other column

Defining a time loop using Python

Interpretation of an lmer output

Pytorch error: RuntimeError: 1D target tensor expected, multi-target not supported

AWS Elastic Beanstalk - Failing to install requirements.txt on deployment

Sort 2 columns simultaneously based on the group name

How to extract information criterions from `lme4::lmer`-model fitted by ML and combine with model summary from REML-fitted model

Cannot run Carlini and Wagner Attack using foolbox on a tensorflow Model

emmeans - can you use a baseline measure in a contrast (i.e. as a different variable)?

QUESTION

Actively update DOM on keyup in an input, check to see if the input value is included as a value within properties of an array of objects

Asked 2022-Apr-17 at 04:43

I'm working with this API: http://hp-api.herokuapp.com/api/characters, which returns an array of objects. I have an input in my HTML that has an "keyup" event listener.

...

ANSWER

Answered 2022-Apr-17 at 04:25

Assuming an input field with an id of "input", you can filter the results to match the value of the input field:

Source https://stackoverflow.com/questions/71899218

QUESTION

R keep rows with maximum value of one column when multiple rows have values close to each other in an other column

Asked 2022-Mar-16 at 11:18

I have a data frame with dates and magnitudes. For every case where the dates are within 0.6 years from each other, I want to keep the date with the highest absolute magnitude and discard the other.

This includes cases where multiple dates are all within 0.6 years from each other. Like c(2014.2, 2014.4, 2014.5) which should give `c(2014.4) if that year had the highest absolute magnitude.
For cases where multiple years could be chained using this criterion (like c(2016.3, 2016.7, 2017.2), where 2016.3 and 2017.2 are not within 0.6 years from each other), I want to treat the dates that are closest to one another as a pair and consider the extra date in the criterion as a next candidate for another pair, (so the output will read like this c(2016.3, 2016.7, 2017.2) if 2016.3 had the highest absolute magnitude).

data:

...

ANSWER

Answered 2022-Mar-16 at 11:18

You can try to perform complete clustering on dates by using hclust. The manhattan (i.e. absolute) distances are calculated between pairs of dates. The "complete" clustering method will ensure that every member of a cluster cut at h height will be distant at most h from the other members.

Source https://stackoverflow.com/questions/71480819

QUESTION

Defining a time loop using Python

Asked 2022-Mar-06 at 19:19

This code scans the neighbouring elements with a given criterion. For example, it starts from
0.26373153 and picks 0.58720689 since the criterion says to select elements less than 0.6. Similarly, it moves from 0.58720689 to 0.54531058. The current output along with the desired output is attached.

How do I also get a time output for each iteration? Suppose the time loop starts at t=0 for 0.26373153 and then t>0 for the next values: 0.58720689,0.54531058,...

...

ANSWER

Answered 2022-Mar-06 at 19:19

I'm not sure about what do you need. If you need to compute how many tries the code does before to see another value less than 0.6, this can be easly done creating a variable that is increased at each iteration and set to 0 when you find a "correct" value. If you need to compute how much time it runs before to find another value less than 0.6 you need to use the time library. The istruction t1 = time.time() saves in t1 the amount of seconds elapsed since epoch (epoch is January 1, 1970, 00:00:00) as floating point number (see here to more details), so when you start the research you save your time in one variable (say t1), when you find a value in the array that is less than 0.6 you save in another variable the current time (say t2), and at this point to know how much time is elapsed you need to compute (t2-t1); then save the value of t2 in t1 and continue like this.

EDIT: with your edit I have understood what you need. Try this, but remember to add import time:

Source https://stackoverflow.com/questions/71373204

QUESTION

Interpretation of an lmer output

Asked 2022-Feb-21 at 09:48

I'm new here, I've tried to run a lmer model:

...

ANSWER

Answered 2022-Feb-21 at 09:42

It depends on what your research question is, but

the response when both fixed effects are zero is is 0.15716
a 1 unit change in SET is associated with a 0.08180 change in RI
a 1 unit change in LOG_VP is associated with a 0.03527 change in RI
Variance at the API level is 0.01431
Variance at the ODOUR level is 0.00415
Residual (unit level) variance is 0.00778

Source https://stackoverflow.com/questions/71188644

QUESTION

Pytorch error: RuntimeError: 1D target tensor expected, multi-target not supported

Asked 2022-Feb-16 at 15:35

I am currently working on an neuronal network that can classify cats and dog and everything thats not cat nor dog. And my programm has this: error i can't solve:

" File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 146, in train(epoch) File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 109, in train loss = criterion(out, target) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/loss.py", line 1047, in forward return F.cross_entropy(input, target, weight=self.weight, File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2693, in cross_entropy return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2388, in nll_loss ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) RuntimeError: 1D target tensor expected, multi-target not supported"

The code:

...

ANSWER

Answered 2022-Feb-16 at 15:35

The reason behind this error is that your targets list are list of lists like that:

Source https://stackoverflow.com/questions/71142953

QUESTION

AWS Elastic Beanstalk - Failing to install requirements.txt on deployment

Asked 2022-Feb-05 at 22:37

I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.

Logs:

...

ANSWER

Answered 2022-Feb-05 at 22:37

The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.

Source https://stackoverflow.com/questions/71002698

QUESTION

Sort 2 columns simultaneously based on the group name

Asked 2022-Jan-25 at 15:07

Dataset ...

ANSWER

Answered 2022-Jan-23 at 00:00

I can tell you the answer, but I cannot write complete r code for it, since I don't know r, I hope some one may edit my code for a complete answer.

suppose both sorts are ascending (you can generalize it to your case)

Source https://stackoverflow.com/questions/70801849

QUESTION

How to extract information criterions from `lme4::lmer`-model fitted by ML and combine with model summary from REML-fitted model

Asked 2022-Jan-16 at 21:27

I am trying to access AIC, BIC , logLik and deviance data from a model summary of an HLM fitted using maximum likelihood (ML) in lme4::lmer, and combine with essentially the same model fitted with restricted maximum likelihood (REML). The structure of the objects returned from lmer and summary is a mess, and I am unable to find out where/how this data is stored.

[Update:] Based on the responses I've gotten, I have updated the code to reflect the progress made:

Code example:

...

ANSWER

Answered 2022-Jan-09 at 17:21

There are a few points:

You have a typo here:

Source https://stackoverflow.com/questions/70642232

QUESTION

Cannot run Carlini and Wagner Attack using foolbox on a tensorflow Model

Asked 2022-Jan-13 at 12:24

I am using the latest version of foolbox (3.3.1), and my code simply load a RESNET-50 CNN, adds some layers for a transferred learning application, and loads the weights as follows.

...

ANSWER

Answered 2021-Nov-23 at 12:13

I think you might have mixed up the parameters of the L2CarliniWagnerAttack. Here is a simplified working example with dummy data:

Source https://stackoverflow.com/questions/70078251

QUESTION

emmeans - can you use a baseline measure in a contrast (i.e. as a different variable)?

Asked 2022-Jan-05 at 23:31

Best practice when analysing data from an RCT is to adjust for the baseline measure (ancova). However, researchers often still ask for change from baseline in each group and their relative difference (given by the treatment x time interaction). When one adjusts for the baseline measure, contrasts involving time can only be made from the first post-baseline measure.

Is there a way to perform a contrast where you subtract the model prediction at each post-treatment time point from the baseline measure (e.g. the overall pre-treatment mean of the combined groups)? I could do this manually but wouldn’t get C.I.'s.

Some dummy data are below:

...

ANSWER

Answered 2022-Jan-05 at 23:31

As I said in a comment, the baseline is already set at its mean by default, so you get exactly the same the adjusted means as shown in the OP:

Source https://stackoverflow.com/questions/70574302

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