fdiff | OpenType table diff tool for fonts

 by   source-foundry Python Version: 3.0.0 License: Apache-2.0

kandi X-RAY | fdiff Summary

kandi X-RAY | fdiff Summary

fdiff is a Python library typically used in Utilities applications. fdiff has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install fdiff' or download it from GitHub, PyPI.

fdiff is a Python command line comparison tool for assessment of granular differences in the OpenType table data between font files. The tool provides cross-platform support for local and remote font diffs on macOS, Windows, and GNU/Linux systems with a Python v3.7+ interpreter. Looking for a high-level overview of OpenType table differences rather than low-level changes? Check out Just van Rossum's fbdiff tool.
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            kandi-support Support

              fdiff has a low active ecosystem.
              It has 34 star(s) with 4 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 17 have been closed. On average issues are closed in 65 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fdiff is 3.0.0

            kandi-Quality Quality

              fdiff has 0 bugs and 0 code smells.

            kandi-Security Security

              fdiff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fdiff code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fdiff is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fdiff releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              fdiff saves you 515 person hours of effort in developing the same functionality from scratch.
              It has 1210 lines of code, 92 functions and 23 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fdiff and discovered the below as its top functions. This is intended to give you an instant insight into fdiff implemented functionality, and help decide if they suit your requirements.
            • Run the diff tool
            • Compute the differences between two files
            • Return a unified diff line
            • Get the fonts and save to files
            Get all kandi verified functions for this library.

            fdiff Key Features

            No Key Features are available at this moment for fdiff.

            fdiff Examples and Code Snippets

            Sympy: Specify derivative for function
            Pythondot img1Lines of Code : 20dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> from sympy.abc import x
            >>> f = x**2
            >>> df = 2*x
            
            In [10]: class myf(Function):
                ...:     def fdiff(self, i):
                ...:         assert i == 1
                ...:         return 2*x
                ...:   
            Sympy: There remains some terms which shuold be obviously vanished
            Pythondot img2Lines of Code : 11dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> sqrt(x/y)
            sqrt(x/y)
            >>> sqrt(x/3)
            sqrt(3)*sqrt(x)/3
            
            >>> print(sympy.simplify(sympy.diff(G(x), x))).subs(pi, 3)
            H(1/sqrt(x))
            
            >>> S.Pi.n(3)
            3.14
            
            sympy parser doesn't identify expm1 as a symbolic function
            Pythondot img3Lines of Code : 14dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            expm1 = lambda x: exp(x)-1
            parse_expr('expm1(x)', local_dict={"expm1": expm1})
            
            class expm1(Function):
                def fdiff(self, argindex=1):
                    return exp(self.args[0])
            
            e = parse_expr('expm1
            Python - Convert the array in a tuple to just a normal array
            Pythondot img4Lines of Code : 31dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            In [71]: arr = np.random.randint(-5,5,10)
            In [72]: arr
            Out[72]: array([ 3,  4,  2, -3, -1,  0, -5,  4,  2, -3])
            In [73]: arr.shape
            Out[73]: (10,)
            In [74]: np.where(arr>=0)
            Out[74]: (array([0, 1, 2, 5, 7, 8]),)
            In [75]: arr[_]
            Out[75]: a
            Recursive substitution of formulas in sympy
            Pythondot img5Lines of Code : 9dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class f(Function):
              def fdiff(self, argindex):
                if argindex == 1:
                  return f(self.args[0], self.args[1] + 1)
                else:
                  raise ArgumentIndexError(self, argindex)
            
            f(x, y + 3) + Subs(Derivative(f(x, _xi_2

            Community Discussions

            QUESTION

            Sympy: Specify derivative for function
            Asked 2020-Apr-03 at 12:53

            I would like to specify the derivative of a function that is also a function. Is there a way how to do this in sympy?

            An example how it could look like:

            ...

            ANSWER

            Answered 2020-Mar-31 at 13:37

            A function and derivative are just expressions so you are free to define them as you wish:

            Source https://stackoverflow.com/questions/60950894

            QUESTION

            Incorrect Indexing in Rader Algorithm (GNU Octave implementation)
            Asked 2020-Mar-30 at 16:14

            Rader DFT algorithm implemented using GNU Octave (for example, length 11). I used this wikipedia article. The values obtained are correct, but they are incorrectly reindexed. I can not understand where the error is?

            upd. Add function for finds the smallest generator of the group.

            ...

            ANSWER

            Answered 2020-Mar-30 at 16:14

            I fixed the error. Working code here

            Source https://stackoverflow.com/questions/60810896

            QUESTION

            Sympy: There remains some terms which shuold be obviously vanished
            Asked 2020-Feb-13 at 12:35

            I want to calculate derivative of a function using following code.

            ...

            ANSWER

            Answered 2020-Feb-13 at 12:35

            SymPy has built in rules which allow certain transformations to happen (automatically, sometimes) or to be prohibited (by default). When you defined pi as a Symbol, you created a generic symbol with the only assumption being that it is commutative. But the number pi is that and it is positive. That assumption allows something like sqrt(x/y) to automatically rewrite as sqrt(y)*sqrt(x)/y if y is positive:

            Source https://stackoverflow.com/questions/60207674

            QUESTION

            Unable to pass -shared argument to g++ using libtool
            Asked 2019-Oct-18 at 12:53

            I am trying to compile a shared object using libtool.

            When I run the libtool command as this:

            ...

            ANSWER

            Answered 2019-Oct-18 at 11:58

            Adding -Xcompiler -shared to libtool worked.

            Source https://stackoverflow.com/questions/58435706

            QUESTION

            Returning automatic derivatives with Sympy
            Asked 2018-Jan-14 at 12:44

            I'm trying to build a class whose goal is returning the derivative of a function f also as a function. I've read about Sympy and I started to try it with this package.

            Main problem

            Let's suppose that I have a simple function with only one parameter, like this:

            ...

            ANSWER

            Answered 2018-Jan-13 at 13:16

            You could use lambdify to return callable from your get_derivative:

            Source https://stackoverflow.com/questions/48239332

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

            Vulnerabilities

            No vulnerabilities reported

            Install fdiff

            fdiff requires a Python 3.7+ interpreter. Installation in a Python3 virtual environment is recommended.
            The following approach installs the project and associated optional developer dependencies, so that source changes are available without the need for re-installation.

            Support

            Contributions are warmly welcomed. A development dependency environment can be installed in editable mode with the developer installation documentation above. Please use the standard Github pull request approach to propose source changes.
            Find more information at:

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            Install
          • PyPI

            pip install fdiff

          • CLONE
          • HTTPS

            https://github.com/source-foundry/fdiff.git

          • CLI

            gh repo clone source-foundry/fdiff

          • sshUrl

            git@github.com:source-foundry/fdiff.git

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