The Document Foundation has released a second beta of LibreOffice 7.0, with general availability expected at the beginning of August.
Sqlpro studio 1 0 416 cm. The addition of soft edges support fixes some cases where a PowerPoint graphic looked completely wrong in LibreOffice
We would like to show you a description here but the site won’t allow us. 7.0.2 - 2020-06-11 Engine Updates and Fixes Ensure null-coalescing LHS is evaluated only once (#12667) Restrict loading of amsi.dll to system32 folder (#12730) General Cmdlet Updates and Fixes C.
The LibreOffice release cycle brings a significant new build every six months, so this one is the follow-up to 6.4 in January. The major version number gets bumped every two or three years. The team follows a fixed schedule, arguing that: 'Time-based release trains have been shown to produce the best quality Free software.'
Example of file-text-o at 6x Example of file-text-o at 5x Example of file-text-o at 4x Example of file-text-o at 3x Example of file-text-o at 2x Example of file-text-o fa-file-text-o Unicode: f0f6 Created: v3.0 Categories: Text Editor Icons, File Type Icons.
The initial major releases are intended for early adopters, with mainstream users invited to wait for a minor point release. The suite consists of five main applications: Writer, Calc, Draw, Impress (presentations) and Base (database). There is also LibreOffice Math, for working with mathematical formulas.
Mac users get the benefit of a new icon set designed to conform to Apple's colour palette guidelines
In this release Mac users get a new icon set, called Sukapura, which follows Apple's recommended colour palette as defined in its Human Interface Guidelines. This is now the default on the Mac and a big cosmetic improvement.
Vendor-bender LibreOffice kicks out 6.4: Community project feel, though now with added auto-█████ tool
READ MOREThere is also a major, though less visible, change on Windows, which is that the Cairo/OpenGL backend has been replaced with the Google-maintained Skia library, as used by Chrome but also many other open-source products, and the Vulkan GPU/CPU acceleration API. This explains, perhaps, why when you run LibreOffice 7, an Nvidia 'GeForce Experience' option pops up if you are using an Nvidia GPU. This should give better performance, though you are most likely to notice if you are dealing with large documents or complex graphics.
Graphics
The About dialog on Windows shows the use of Skia and Vulkan for core graphics
On the graphics side, there is also new support for a glow and 'soft edges' effects, which does not sound like much, but the lack of the latter was enough to wreck a PowerPoint graphic, so this is important for interoperability.
The test document still looks wrong on the Mac, though. Apple's Keynote could not display it either; it was perfect in PowerPoint on both Mac and Windows. You can also now use semi-transparent text in Writer.
Also new is 'experimental support for very large spreadsheets', according to the release notes, which in this context means 16 million rows and 16,384 columns. This is disabled by default, requiring the user to set an 'experimental features' option which has a suitable warning. The old limit is just over 1 million rows and 1,024 columns.
Microsoft Excel is limited to just over 1 million rows and 16,384 columns, so LibreOffice is catching up on columns and leaping ahead in rows, presuming you believe that such a large spreadsheet has any plausible use.
A new accessibility checker identifies issues in Writer documents
Accessibility is enhanced in this version with a new accessibility check tool in Writer which informed us of things like 'text contrast is too low' and 'no alt text for graphic image'.
The tool looks basic but will no doubt be enhanced and added to other applications in future. There is also support for PDF/UA, a standard for accessibility in PDF documents.
LibreOffice 7.0 adds support for newer versions of the ODF (Open Document Format) standard, 1.3 and 1.3 extended. There is also a change to the DOCX (Office Open XML) export, which is now in the 2013 version rather than the 2007 version. This may cause problems for Word 2010 users, to whom the advice is to 'upgrade to LibreOffice'.
There are a bunch of other changes, many of them minor bugfixes. Thin perhaps for a major version release? True, but the improvements are useful. Some are happy typing into a web browser, but for countless businesses desktop office applications are still heavily used, and the existence of strong open-source alternatives to Microsoft's suite is valuable not only for saving money on licences, but also for 'digital sovereignty', which remains an EU aspiration.
It is good to see the fit and finish of LibreOffice improving, though fonts and font display are still a weak point. Overall, though, this is excellent open-source software and 7.0 looks like another strong release. ®
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Text utilities and datasets for PyTorch
Project description
![Textual Textual](https://cf.ppt-online.org/files/slide/k/K3VPszXnCLqyxYU7aOZd1hBkWftRij0EcwurIF/slide-11.jpg)
torchtext
Textual 7
This repository consists of:
- torchtext.data: Generic data loaders, abstractions, and iterators for text (including vocabulary and word vectors)
- torchtext.datasets: Pre-built loaders for common NLP datasets
Note: we are currently re-designing the torchtext library to make it more compatible with pytorch (e.g. torch.utils.data). Several datasets have been written with the new abstractions in torchtext.experimental folder. We also created an issue to discuss the new abstraction, and users are welcome to leave feedback link.
Installation
We recommend Anaconda as Python package management system. Please refer to pytorch.org for the detail of PyTorch installation. The following is the corresponding torchtext versions and supported Python versions.
PyTorch version | torchtext version | Supported Python version |
---|---|---|
nightly build | master | 3.6+ |
1.5 | 0.5 | 3.5+ |
1.4 | 0.4 | 2.7, 3.5+ |
0.4 and below | 0.2.3 | 2.7, 3.5+ |
Using conda;:
Using pip;:
Optional requirements
If you want to use English tokenizer from SpaCy, you need to install SpaCy and download its English model: Macgo blu ray player pro 3 3 1979.
Alternatively, you might want to use the Moses tokenizer port in SacreMoses (split from NLTK). You have to install SacreMoses:
For torchtext 0.5 and below, sentencepiece:
Building from source
To build torchtext from source, you need git, CMake and C++11 compiler such as g++.:
Note
When building from source, make sure that you have the same C++ compiler as the one used to build PyTorch. A simple way is to build PyTorch from source and use the same environment to build torchtext.If you are using nightly build of PyTorch, checkout the environment it was built here (conda) and here (pip).
Data
The data module provides the following:
- Ability to describe declaratively how to load a custom NLP dataset that’s in a “normal” format:
- Ability to define a preprocessing pipeline:
- Batching, padding, and numericalizing (including building a vocabulary object):
- Wrapper for dataset splits (train, validation, test):
Datasets
The datasets module currently contains:
- Sentiment analysis: SST and IMDb
- Question classification: TREC
- Entailment: SNLI, MultiNLI
- Language modeling: abstract class + WikiText-2, WikiText103, PennTreebank
- Machine translation: abstract class + Multi30k, IWSLT, WMT14
- Sequence tagging (e.g. POS/NER): abstract class + UDPOS, CoNLL2000Chunking
- Question answering: 20 QA bAbI tasks
- Text classification: AG_NEWS, SogouNews, DBpedia, YelpReviewPolarity, YelpReviewFull, YahooAnswers, AmazonReviewPolarity, AmazonReviewFull
Others are planned or a work in progress:
![Textual Textual](https://upload.wikimedia.org/wikipedia/commons/thumb/2/25/VerbalBehavior.jpg/220px-VerbalBehavior.jpg)
- Question answering: SQuAD
See the test directory for examples of dataset usage.
Experimental Code
We have re-written several datasets under torchtext.experimental.datasets:
- Sentiment analysis: IMDb
- Language modeling: abstract class + WikiText-2, WikiText103, PennTreebank
A new pattern is introduced in Release v0.5.0. Several other datasets are also in the new pattern:
- Unsupervised learning dataset: Enwik9
- Text classification: AG_NEWS, SogouNews, DBpedia, YelpReviewPolarity, YelpReviewFull, YahooAnswers, AmazonReviewPolarity, AmazonReviewFull
Disclaimer on Datasets
This is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to determine whether you have permission to use the dataset under the dataset’s license.
If you’re a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML community!
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