translate | Useful localization tools with Python API | Internationalization library

 by   translate Python Version: 3.8.6 License: GPL-2.0

kandi X-RAY | translate Summary

kandi X-RAY | translate Summary

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

Useful localization tools with Python API for building localization & translation systems
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              translate has a highly active ecosystem.
              It has 758 star(s) with 306 fork(s). There are 43 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 359 open issues and 719 have been closed. On average issues are closed in 358 days. There are 13 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of translate is 3.8.6

            kandi-Quality Quality

              translate has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              translate is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              translate releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed translate and discovered the below as its top functions. This is intended to give you an instant insight into translate implemented functionality, and help decide if they suit your requirements.
            • Delete a substring .
            • Prints a summary of the statistics .
            • Helper function to format strings .
            • Extract substring from source string .
            • Build an XPI .
            • Check cvstag .
            • Translates an IDML file .
            • Convert a given file to a file .
            • Emit a translation unit .
            • Set input formats .
            Get all kandi verified functions for this library.

            translate Key Features

            No Key Features are available at this moment for translate.

            translate Examples and Code Snippets

            Translate a tensor spec into full type definitions .
            pythondot img1Lines of Code : 40dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _translate_to_fulltype_for_flat_tensors(
                spec: type_spec.TypeSpec) -> List[full_type_pb2.FullTypeDef]:
              """Convert a TypeSec to a list of FullTypeDef.
            
              The FullTypeDef created corresponds to the encoding used with datasets
              (and map_fn  
            Translate a training config file into arguments .
            pythondot img2Lines of Code : 39dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def compile_args_from_training_config(training_config, custom_objects=None):
              """Return model.compile arguments from training config."""
              if custom_objects is None:
                custom_objects = {}
            
              with generic_utils.CustomObjectScope(custom_objects):
                
            Translate a plaintext message .
            pythondot img3Lines of Code : 26dot img3License : Permissive (MIT License)
            copy iconCopy
            def translateMessage(key: str, message: str, mode: str) -> str:
                translated = []
                keyIndex = 0
                key = key.upper()
            
                for symbol in message:
                    num = LETTERS.find(symbol.upper())
                    if num != -1:
                        if mode == "encrypt  
            Using poswap (translate-toolkit) brakes output encoding
            Pythondot img4Lines of Code : 12dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            msgid ""
            msgstr ""
            "Project-Id-Version: \n"
            "POT-Creation-Date: \n"
            "PO-Revision-Date: \n"
            "Last-Translator: \n"
            "Language-Team: \n"
            "Language: ar\n"
            "MIME-Version: 1.0\n"
            "Content-Type: text/plain; charset=UTF-8\n"
            "Content-Transfer-Encod
            Error when running python code in R
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            system("/opt/local/bin/python csv2po.py zh-po.csv zh_TW.po")
            

            Community Discussions

            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

            How to set schema_translate_map in SQLAlchemy object in Flask app
            Asked 2022-Feb-19 at 23:10

            My app.py file

            ...

            ANSWER

            Answered 2022-Feb-19 at 23:10

            I found a way to accomplish it. This is what needed

            Source https://stackoverflow.com/questions/71099132

            QUESTION

            Data path "" must NOT have additional properties(extractCss) in Angular 13 while upgrading project
            Asked 2022-Jan-27 at 14:41

            I am facing an issue while upgrading my project from angular 8.2.1 to angular 13 version.

            After a successful upgrade while preparing a build it is giving me the following error.

            ...

            ANSWER

            Answered 2021-Dec-14 at 12:45

            Just remove the "extractCss": true from your production environment, it will resolve the problem.

            The reason about it is extractCss is deprecated, and it's value is true by default. See more here: Extracting CSS into JS with Angular 11 (deprecated extractCss)

            Source https://stackoverflow.com/questions/70344098

            QUESTION

            Python best way to 'swap' words (multiple characters) in a string?
            Asked 2021-Dec-15 at 08:30

            Consider the following examples:

            ...

            ANSWER

            Answered 2021-Dec-03 at 04:41

            I managed to make this function that does exactly what you want.

            Source https://stackoverflow.com/questions/70209111

            QUESTION

            Assembly why is "lea eax, [eax + eax*const]; shl eax, eax, const;" combined faster than "imul eax, eax, const" according to gcc -O2?
            Asked 2021-Dec-13 at 10:27

            I'm using godbolt to get assembly of the following program:

            ...

            ANSWER

            Answered 2021-Dec-13 at 06:33

            You can see the cost of instructions on most mainstream architecture here and there. Based on that and assuming you use for example an Intel Skylake processor, you can see that one 32-bit imul instruction can be computed per cycle but with a latency of 3 cycles. In the optimized code, 2 lea instructions (which are very cheap) can be executed per cycle with a 1 cycle latency. The same thing apply for the sal instruction (2 per cycle and 1 cycle of latency).

            This means that the optimized version can be executed with only 2 cycle of latency while the first one takes 3 cycle of latency (not taking into account load/store instructions that are the same). Moreover, the second version can be better pipelined since the two instructions can be executed for two different input data in parallel thanks to a superscalar out-of-order execution. Note that two loads can be executed in parallel too although only one store can be executed in parallel per cycle. This means that the execution is bounded by the throughput of store instructions. Overall, only 1 value can only computed per cycle. AFAIK, recent Intel Icelake processors can do two stores in parallel like new AMD Ryzen processors. The second one is expected to be as fast or possibly faster on the chosen use-case (Intel Skylake processors). It should be significantly faster on very recent x86-64 processors.

            Note that the lea instruction is very fast because the multiply-add is done on a dedicated CPU unit (hard-wired shifters) and it only supports some specific constant for the multiplication (supported factors are 1, 2, 4 and 8, which mean that lea can be used to multiply an integer by the constants 2, 3, 4, 5, 8 and 9). This is why lea is faster than imul/mul.

            UPDATE (v2):

            I can reproduce the slower execution with -O2 using GCC 11.2 (on Linux with a i5-9600KF processor).

            The main source of source of slowdown comes from the higher number of micro-operations (uops) to be executed in the -O2 version certainly combined with the saturation of some execution ports certainly due to a bad micro-operation scheduling.

            Here is the assembly of the loop with -Os:

            Source https://stackoverflow.com/questions/70316686

            QUESTION

            The LINQ expression could not be translated. Either rewrite the query in a form that can be translated, or switch to client evaluation
            Asked 2021-Nov-10 at 15:43

            I have C# application (.NET Core 3.1) and I have written the following LINQ expression.

            ...

            ANSWER

            Answered 2021-Aug-11 at 09:10

            The issue is that you are trying to do a string.Contains within an Any expression which EF will choke on trying to compose down to SQL. Cleptus is on the nose, to build a predicate for the Where clause OR-ing the term comparisons. Otherwise your code should work without the contains check, but rather an equality check:

            Without Contains: (equality check rather than LIKE %name%)

            Source https://stackoverflow.com/questions/68737681

            QUESTION

            Undefined volume with Docker Compose
            Asked 2021-Nov-06 at 23:50

            I wanted to translate this docker CLI command (from smallstep/step-ca) into a docker-compose.yml file to run with docker compose (version 2):

            ...

            ANSWER

            Answered 2021-Nov-06 at 23:50

            The Compose file also has a top-level volumes: block and you need to declare volumes there.

            Source https://stackoverflow.com/questions/69867166

            QUESTION

            How do I melt a pandas dataframe?
            Asked 2021-Nov-04 at 09:34

            On the pandas tag, I often see users asking questions about melting dataframes in pandas. I am gonna attempt a cannonical Q&A (self-answer) with this topic.

            I am gonna clarify:

            1. What is melt?

            2. How do I use melt?

            3. When do I use melt?

            I see some hotter questions about melt, like:

            So I am gonna attempt a canonical Q&A for this topic.

            Dataset:

            I will have all my answers on this dataset of random grades for random people with random ages (easier to explain for the answers :D):

            ...

            ANSWER

            Answered 2021-Nov-04 at 09:34
            Note for users with pandas version under < 0.20.0, I will be using df.melt(...) for my examples, but your version would be too low for df.melt, you would need to use pd.melt(df, ...) instead. Documentation references:

            Most of the solutions here would be used with melt, so to know the method melt, see the documentaion explanation

            Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.

            This function is useful to massage a DataFrame into a format where one or more columns are identifier variables (id_vars), while all other columns, considered measured variables (value_vars), are “unpivoted” to the row axis, leaving just two non-identifier columns, ‘variable’ and ‘value’.

            And the parameters are:

            Parameters

            • id_vars : tuple, list, or ndarray, optional

              Column(s) to use as identifier variables.

            • value_vars : tuple, list, or ndarray, optional

              Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.

            • var_name : scalar

              Name to use for the ‘variable’ column. If None it uses frame.columns.name or ‘variable’.

            • value_name : scalar, default ‘value’

              Name to use for the ‘value’ column.

            • col_level : int or str, optional

              If columns are a MultiIndex then use this level to melt.

            • ignore_index : bool, default True

              If True, original index is ignored. If False, the original index is retained. Index labels will be repeated as necessary.

              New in version 1.1.0.

            Logic to melting:

            Melting merges multiple columns and converts the dataframe from wide to long, for the solution to Problem 1 (see below), the steps are:

            1. First we got the original dataframe.

            2. Then the melt firstly merges the Math and English columns and makes the dataframe replicated (longer).

            3. Then finally adds the column Subject which is the subject of the Grades columns value respectively.

            This is the simple logic to what the melt function does.

            Solutions:

            I will solve my own questions.

            Problem 1:

            Problem 1 could be solve using pd.DataFrame.melt with the following code:

            Source https://stackoverflow.com/questions/68961796

            QUESTION

            SQLAlchemy - Adding a ForeignKeyConstraint to a many-to-many table that is based on another relationship
            Asked 2021-Oct-11 at 01:42

            Forgive me if this has been answered elsewhere. I've been searching SO and haven't been able to translate the seemingly relevant Q&As to my scenerio.

            I'm working on a fun personal project where I have 4 main schemas (barring relationships for now):

            • Persona (name, bio)
            • Episode (title, plot)
            • Clip (url, timestamp)
            • Image (url)

            Restrictions (Basis of Relationships):

            1. A Persona can show up in multiple episodes, as well as multiple clips and images from those episodes (but might not be in all clips/images related to an episode).
            2. An Episode can contain multiple personas, clips, and images.
            3. An Image/Clip can only be related to a single Episode, but can be related to multiple personas.
            4. If a Persona is already assigned to episode(s), then any clip/image assigned to the persona can only be from one of those episodes or (if new) must only be capable of having one of the episodes that the persona appeared in associated to the clip/image.
            5. If an Episode is already assigned persona(s), then any clip/image assigned to the episode must be related to aleast one of those personas or (if new) must only be capable of having one or more of the personas from the episode associated to the clip/image.

            I've designed the database structure like so:

            This generates the following sql:

            ...

            ANSWER

            Answered 2021-Oct-05 at 23:19

            I can't think of any way to add this logic on the DB. Would it be acceptable to manage these constraints in your code? Like this:

            Event: a new image would be insterted in DB

            Source https://stackoverflow.com/questions/69418576

            QUESTION

            how to restrict drag elements in interact.js
            Asked 2021-Oct-04 at 09:29

            I'm trying to stop my elements from overlapping using interact.js, but I don't have any idea how to get the n elements to be able to do it. Does anyone have an idea? Or some other way I can validate it. Try the solution to this question, but I don't understand how to get the list of elements to go through it. enter link description here

            ...

            ANSWER

            Answered 2021-Oct-03 at 18:14

            What you are looking for is collision detection. When you move or resize your box you can check if the new dimensions/position does collide with other boxes. If that is the case then you can ignore the movement/resize.

            Because your code snippet contained a lot of invalid HTML I had to strip most of it to make it work. Please do spend some time making valid HTML when/if you ask your next question. Some errors that were present in your HTML code:

            • All content was made in the element
            • Usage of HTML tags. Only certain tags can exist out of one tag like
              is valid but is not and the proper way of writing some HTML tags like input is (without closing tag)
            • Closing tags without any starting tags
            • Closing parent tags before closing all the child tags

            Source https://stackoverflow.com/questions/69308783

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

            Vulnerabilities

            No vulnerabilities reported

            Install translate

            You can install using 'pip install translate' or download it from GitHub, PyPI.
            You can use translate like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/translate/translate.git

          • CLI

            gh repo clone translate/translate

          • sshUrl

            git@github.com:translate/translate.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Internationalization Libraries

            formatjs

            by formatjs

            react-i18next

            by i18next

            version

            by sebastianbergmann

            globalize

            by globalizejs

            angular-translate

            by angular-translate

            Try Top Libraries by translate

            pootle

            by translatePython

            virtaal

            by translatePython

            amagama

            by translatePython

            terminator

            by translatePython

            corpuscatcher

            by translatePython