signify | OpenBSD tool to sign and verify signatures | Cryptography library

 by   aperezdc C Version: v31 License: ISC

kandi X-RAY | signify Summary

kandi X-RAY | signify Summary

signify is a C library typically used in Security, Cryptography applications. signify has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

OpenBSD tool to sign and verify signatures on files. This is a portable version which uses libbsd (version 0.8 or newer is required). See for more information.
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              signify has a low active ecosystem.
              It has 214 star(s) with 15 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 17 have been closed. On average issues are closed in 58 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of signify is v31

            kandi-Quality Quality

              signify has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              signify is licensed under the ISC License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              signify releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            signify Key Features

            No Key Features are available at this moment for signify.

            signify Examples and Code Snippets

            Connects two nodes .
            pythondot img1Lines of Code : 14dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _connect_nodes(self, first, second):
                """Connects nodes to signify that control flows from first to second.
            
                Args:
                  first: Union[Set[Node, ...], Node]
                  second: Node
                """
                if isinstance(first, Node):
                  first.next.add(sec  

            Community Discussions

            QUESTION

            Why does unet have classes?
            Asked 2021-Jun-11 at 09:42
            import torch
            import torch.nn as nn
            import torch.nn.functional as F
            
            
            class double_conv(nn.Module):
                '''(conv => BN => ReLU) * 2'''
                def __init__(self, in_ch, out_ch):
                    super(double_conv, self).__init__()
                    self.conv = nn.Sequential(
                        nn.Conv2d(in_ch, out_ch, 3, padding=1),
                        nn.BatchNorm2d(out_ch),
                        nn.ReLU(inplace=True),
                        nn.Conv2d(out_ch, out_ch, 3, padding=1),
                        nn.BatchNorm2d(out_ch),
                        nn.ReLU(inplace=True)
                    )
            
                def forward(self, x):
                    x = self.conv(x)
                    return x
            
            
            class inconv(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(inconv, self).__init__()
                    self.conv = double_conv(in_ch, out_ch)
            
                def forward(self, x):
                    x = self.conv(x)
                    return x
            
            
            class down(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(down, self).__init__()
                    self.mpconv = nn.Sequential(
                        nn.MaxPool2d(2),
                        double_conv(in_ch, out_ch)
                    )
            
                def forward(self, x):
                    x = self.mpconv(x)
                    return x
            
            
            class up(nn.Module):
                def __init__(self, in_ch, out_ch, bilinear=True):
                    super(up, self).__init__()
            
                    #  would be a nice idea if the upsampling could be learned too,
                    #  but my machine do not have enough memory to handle all those weights
                    if bilinear:
                        self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)
                    else:
                        self.up = nn.ConvTranspose2d(in_ch//2, in_ch//2, 2, stride=2)
            
                    self.conv = double_conv(in_ch, out_ch)
            
                def forward(self, x1, x2):
                    x1 = self.up(x1)
                    diffX = x1.size()[2] - x2.size()[2]
                    diffY = x1.size()[3] - x2.size()[3]
                    x2 = F.pad(x2, (diffX // 2, int(diffX / 2),
                                    diffY // 2, int(diffY / 2)))
                    x = torch.cat([x2, x1], dim=1)
                    x = self.conv(x)
                    return x
            
            
            class outconv(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(outconv, self).__init__()
                    self.conv = nn.Conv2d(in_ch, out_ch, 1)
            
                def forward(self, x):
                    x = self.conv(x)
                    return x
            
            
            class UNet(nn.Module):
                def __init__(self, n_channels, n_classes):
                    super(UNet, self).__init__()
                    self.inc = inconv(n_channels, 64)
                    self.down1 = down(64, 128)
                    self.down2 = down(128, 256)
                    self.down3 = down(256, 512)
                    self.down4 = down(512, 512)
                    self.up1 = up(1024, 256)
                    self.up2 = up(512, 128)
                    self.up3 = up(256, 64)
                    self.up4 = up(128, 64)
                    self.outc = outconv(64, n_classes)
            
                def forward(self, x):
                    self.x1 = self.inc(x)
                    self.x2 = self.down1(self.x1)
                    self.x3 = self.down2(self.x2)
                    self.x4 = self.down3(self.x3)
                    self.x5 = self.down4(self.x4)
                    self.x6 = self.up1(self.x5, self.x4)
                    self.x7 = self.up2(self.x6, self.x3)
                    self.x8 = self.up3(self.x7, self.x2)
                    self.x9 = self.up4(self.x8, self.x1)
                    self.y = self.outc(self.x9)
                    return self.y
            
            ...

            ANSWER

            Answered 2021-Jun-11 at 09:42
            Answer

            Does n_classes signify multiclass segmentation?

            Yes, if you specify n_classes=4 it will output a (batch, 4, width, height) shaped tensor, where each pixel can be segmented as one of 4 classes. Also one should use torch.nn.CrossEntropyLoss for training.

            If so, what is the output of binary UNet segmentation?

            If you want to use binary segmentation you'd specify n_classes=1 (either 0 for black or 1 for white) and use torch.nn.BCEWithLogitsLoss

            I am trying to use this code for image denoising and I couldn't figure out what will should the n_classes parameter be

            It should be equal to n_channels, usually 3 for RGB or 1 for grayscale. If you want to teach this model to denoise an image you should:

            • Add some noise to the image (e.g. using torchvision.transforms)
            • Use sigmoid activation at the end as the pixels will have value between 0 and 1 (unless normalized)
            • Use torch.nn.MSELoss for training
            Why sigmoid?

            Because [0,255] pixel range is represented as [0, 1] pixel value (without normalization at least). sigmoid does exactly that - squashes value into [0, 1] range, hence linear outputs (logits) can have a range from -inf to +inf.

            Why not a linear output and a clamp?

            In order for the Linear layer to be in [0, 1] range after clamp possible output values from Linear would have to be greater than 0 (logits range to fit the target: [0, +inf])

            Why not a linear output without a clamp?

            Logits outputted would have to be within [0, 1] range

            Why not some other method?

            You could do that, but the idea of sigmoid is:

            • help neural network (any logit value can be outputted)
            • first derivative of sigmoid is gaussian standard normal, hence it models the probability of many real-life occurring phenomena (see also here for more)

            Source https://stackoverflow.com/questions/67932624

            QUESTION

            Where I can find documentation on kendoGrid columns.format?
            Asked 2021-Jun-09 at 18:16

            I found the following page about columns.format on Kendo UI jQuery API:

            https://docs.telerik.com/kendo-ui/api/javascript/ui/grid/configuration/columns.format

            In the documentation it give a couple of examples of the format values:

            ...

            ANSWER

            Answered 2021-Jun-09 at 18:16

            {0:c} is the syntax for the kendo.format method. 0 means the first value which you want to format, c means that it will be formatted as a currency value. : is just a separator between value position and the format syntax. Here you can see an example with two values passed to kendo.format:

            Source https://stackoverflow.com/questions/67909083

            QUESTION

            Add custom logic/callback/handler when EOF for JsonFraming in akka-streams
            Asked 2021-May-31 at 05:47

            I have a flow where I consume the paths to the files in small batches from Kafka pah topics, read the files themselves(big JSON arrays) and write them back to Kafka data topics.

            It looks like this:

            ...

            ANSWER

            Answered 2021-May-29 at 21:01

            I'm struck by

            ...I can't take the entire file content, frame it into separate objects, store them all to Kafka and commit only after that

            Since it seems (and you can comment if I'm getting this wrong) that the offset commit is effectively an acknowledgement that you've fully processed a file, there's no way around not committing the offset until after all the objects in the file in the message at that offset have been produced to Kafka.

            The downside of Source.via(Flow.flatMapConcat.via(...)).map.via(...) is that it's a single stream and everything between the first and second vias, inclusive takes a while.

            If you're OK with interleaving objects from files in the output topic and are OK with an unavoidable chance of an object from a given file being produced twice to the output topic (both of these may or may not impose meaningful constraints/difficulties on the implementation of downstream consumers of that topic), you can parallelize the processing of a file. The mapAsync stream stage is especially useful for this:

            Source https://stackoverflow.com/questions/67755274

            QUESTION

            Is there an R function that reads text files with \n as a (column) delimiter?
            Asked 2021-May-30 at 06:00
            The Problem

            I'm trying to come up with a neat/fast way to read files delimited by newline (\n) characters into more than one column.

            Essentially in a given input file, multiple rows in the input file should become a single row in the output, however most file reading functions sensibly interpret the newline character as signifying a new row, and so they end up as a data frame with a single column. Here's an example:

            The input files look like this:

            ...

            ANSWER

            Answered 2021-Apr-12 at 14:59

            You can get round some of the string manipulation with something along the lines of:

            Source https://stackoverflow.com/questions/67060174

            QUESTION

            Write a program that reads the contents of a text file and return index of words into Values
            Asked 2021-May-27 at 09:28

            I am doing an exercise from a textbook and I have been stuck for 3 days finally I decided to get help here.

            The question is: write a program that reads the contents of a text file. The program should create a dictionary in which the key-value pairs are described as follows:

            • Key. The keys are the individual words found in the file.
            • Values. Each value is a list that contains the line numbers in the file where the word (the key) is found.

            For example: suppose the word “robot” is found in lines 7, 18, 94, and 138. The dictionary would contain an element in which the key was the string “robot”, and the value was a list containing the numbers 7, 18, 94, and 138.

            Once the dictionary is built, the program should create another text file, known as a word index, listing the contents of the dictionary. The word index file should contain an alphabetical listing of the words that are stored as keys in the dictionary, along with the line numbers where the words appear in the original file.

            Figure 9-1 shows an example of an original text file (Kennedy.txt) and its index file (index.txt).

            Here are the code i tried so far and the functions is not completed, not sure what to do next:

            ...

            ANSWER

            Answered 2021-Jan-02 at 04:13

            You are on the right track. This is how it can be done

            Source https://stackoverflow.com/questions/65535897

            QUESTION

            Syntactical use of WITH in SQL for CTEs and Properties
            Asked 2021-May-22 at 23:00

            I know two uses of WITH in SQL:

            1. To signify a CTE (Common Table Expression) clause, creating a temporary table for use in the present query, and
            2. To dictate properties in a CTAS (CREATE TABLE AS) statement, e.g. Presto, AWS Athena, Cloudera, etc.

            However, in reading long queries, I have on several occasions had diffculty immediately telling these two uses apart, and I always thought to myself if it would have made more sense to use another word for one of the two, to improve readability and avoid ambiguity.

            So my question is: are these two uses related somehow? Do they stem from some common root?

            ...

            ANSWER

            Answered 2021-May-22 at 23:00

            They are not related at all. WITH is a syntactic construct similar to a subquery. The other is used for other purposes.

            An analogy by might the BY in GROUP BY and ORDER BY. Or the AND used for BETWEEN and as a stand-alone boolean operator. They just happen to have the same name.

            Source https://stackoverflow.com/questions/67654785

            QUESTION

            Spliting string in word boundaries requires '+'
            Asked 2021-May-20 at 06:30

            I would like to split a string in word boundaries and hence for now I am considering that whitespace, a ',' and a '.' or '!' signify the boundaries of words.
            In the following example:

            ...

            ANSWER

            Answered 2021-May-18 at 21:13

            "[\\s+,.!]" doesn't do what you think it does. Inside of []s, + is treated as a literal character, not the regex special character meaning "one or more".

            The empty strings in this first pattern are because substrings like ", " have an empty string between "," and " ".

            "[\\s+,.!]+" works because the regex repetition character + is in the correct location -- "one or more of any of the characters in the preceding group", i.e. the stuff inside [] before the last +.

            But the + inside the group is probably not what you want. That would split "foo+bar" into {"foo", "bar"}, which appears to be a false positive. Use "[\\s,.!]+" to mitigate this.

            Source https://stackoverflow.com/questions/67593973

            QUESTION

            What does geeko@buildhost signify in linux version?
            Asked 2021-May-17 at 10:52

            On a linux server when checking the Linux version I see the following "geeko@buildhost"

            ...

            ANSWER

            Answered 2021-May-17 at 10:52

            It is simply an identifier showing the user and host names where the kernel is compiled. The former is the result of executing whoami and the latter is the result of running uname -n. You can see how it is put together in init/version.c:

            Source https://stackoverflow.com/questions/67564431

            QUESTION

            Dealing with links inside table cells in Beautiful Soup
            Asked 2021-May-17 at 02:13

            I'm following an online tutorial, but as usual I've gone off-piste and I'm trying to apply the lessons learned to my own project. All is going surprisingly well, however I've hit a problem and I haven't yet been able to find a solution.

            https://pastebin.com/x4NjjTij

            There are two problems with this (I mean, I'm sure you can find many more than two...):

            In any cells that have a hyperlink in them, the data is replaced with "None". Example, this:

            ...

            ANSWER

            Answered 2021-May-17 at 02:13

            You can try doing the following:

            Source https://stackoverflow.com/questions/67563213

            QUESTION

            Assigning unique identifier to consecutive sequences of binomial values in R
            Asked 2021-May-15 at 09:13

            I have a dataframe with column consisting of sequences of 0s and 1s. The 0s are not of interest but the 1s signify events occurring in a time series and the goal is to assign a unique value to each event. Simple integer values suffice. So in the code below 'x' is what I have and 'goal' is what I am after.

            This seems so simple yet I don't quite know how to phrase the question on a help search...

            What I have as a dataframe:

            ...

            ANSWER

            Answered 2021-May-14 at 13:29

            This is effectively a run-length encoding, with a slight-twist (of zero-izing 0s).

            While data.table::rleid does this well, if you are not already using that package, then we'll use

            Source https://stackoverflow.com/questions/67534933

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

            Vulnerabilities

            No vulnerabilities reported

            Install signify

            Some GNU/Linux distributions have readily available packages in their repositories. It is recommended to use these, unless you absolutely need to build from source code:.
            Debian: apt install signify-openbsd
            Arch Linux: pacman -S signify

            Support

            Problem: Undefined references to clock_gettime. Solution: Your system has an old glibc version, you need to pass LDLIBS=-lrt to make.
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