Commit Graph

43 Commits

Author SHA1 Message Date
Paul O'Leary McCann
58bdd8607b
Bump sudachipy version (#9917)
* Edited Slovenian stop words list (#9707)

* Noun chunks for Italian (#9662)

* added it vocab

* copied portuguese

* added possessive determiner

* added conjed Nps

* added nmoded Nps

* test misc

* more examples

* fixed typo

* fixed parenth

* fixed comma

* comma fix

* added syntax iters

* fix some index problems

* fixed index

* corrected heads for test case

* fixed tets case

* fixed determiner gender

* cleaned left over

* added example with apostophe

* French NP review (#9667)

* adapted from pt

* added basic tests

* added fr vocab

* fixed noun chunks

* more examples

* typo fix

* changed naming

* changed the naming

* typo fix

* Add Japanese kana characters to default exceptions (fix #9693) (#9742)

This includes the main kana, or phonetic characters, used in Japanese.

There are some supplemental kana blocks in Unicode outside the BMP that
could also be included, but because their actual use is rare I omitted
them for now, but maybe they should be added. The omitted blocks are:

- Kana Supplement
- Kana Extended (A and B)
- Small Kana Extension

* Remove NER words from stop words in Norwegian (#9820)

Default stop words in Norwegian bokmål (nb) in Spacy contain important entities, e.g. France, Germany, Russia, Sweden and USA, police district, important units of time, e.g. months and days of the week, and organisations.

Nobody expects their presence among the default stop words. There is a danger of users complying with the general recommendation of filtering out stop words, while being unaware of filtering out important entities from their data.

See explanation in https://github.com/explosion/spaCy/issues/3052#issuecomment-986756711 and comment https://github.com/explosion/spaCy/issues/3052#issuecomment-986951831

* Bump sudachipy version

* Update sudachipy versions

* Bump versions

Bumping to the most recent dictionary just to keep thing current.
Bumping sudachipy to 5.2 because older versions don't support recent
dictionaries.

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Richard Hudson <richard@explosion.ai>
Co-authored-by: Duygu Altinok <duygu@explosion.ai>
Co-authored-by: Haakon Meland Eriksen <haakon.eriksen@far.no>
2022-01-17 08:16:22 +01:00
Adriane Boyd
a803af9dfa Merge remote-tracking branch 'upstream/master' into chore/update-develop-from-master-v3.2-1 2021-10-26 11:53:50 +02:00
Connor Brinton
657af5f91f
🏷 Add Mypy check to CI and ignore all existing Mypy errors (#9167)
* 🚨 Ignore all existing Mypy errors

* 🏗 Add Mypy check to CI

* Add types-mock and types-requests as dev requirements

* Add additional type ignore directives

* Add types packages to dev-only list in reqs test

* Add types-dataclasses for python 3.6

* Add ignore to pretrain

* 🏷 Improve type annotation on `run_command` helper

The `run_command` helper previously declared that it returned an
`Optional[subprocess.CompletedProcess]`, but it isn't actually possible
for the function to return `None`. These changes modify the type
annotation of the `run_command` helper and remove all now-unnecessary
`# type: ignore` directives.

* 🔧 Allow variable type redefinition in limited contexts

These changes modify how Mypy is configured to allow variables to have
their type automatically redefined under certain conditions. The Mypy
documentation contains the following example:

```python
def process(items: List[str]) -> None:
    # 'items' has type List[str]
    items = [item.split() for item in items]
    # 'items' now has type List[List[str]]
    ...
```

This configuration change is especially helpful in reducing the number
of `# type: ignore` directives needed to handle the common pattern of:
* Accepting a filepath as a string
* Overwriting the variable using `filepath = ensure_path(filepath)`

These changes enable redefinition and remove all `# type: ignore`
directives rendered redundant by this change.

* 🏷 Add type annotation to converters mapping

* 🚨 Fix Mypy error in convert CLI argument verification

* 🏷 Improve type annotation on `resolve_dot_names` helper

* 🏷 Add type annotations for `Vocab` attributes `strings` and `vectors`

* 🏷 Add type annotations for more `Vocab` attributes

* 🏷 Add loose type annotation for gold data compilation

* 🏷 Improve `_format_labels` type annotation

* 🏷 Fix `get_lang_class` type annotation

* 🏷 Loosen return type of `Language.evaluate`

* 🏷 Don't accept `Scorer` in `handle_scores_per_type`

* 🏷 Add `string_to_list` overloads

* 🏷 Fix non-Optional command-line options

* 🙈 Ignore redefinition of `wandb_logger` in `loggers.py`

*  Install `typing_extensions` in Python 3.8+

The `typing_extensions` package states that it should be used when
"writing code that must be compatible with multiple Python versions".
Since SpaCy needs to support multiple Python versions, it should be used
when newer `typing` module members are required. One example of this is
`Literal`, which is available starting with Python 3.8.

Previously SpaCy tried to import `Literal` from `typing`, falling back
to `typing_extensions` if the import failed. However, Mypy doesn't seem
to be able to understand what `Literal` means when the initial import
means. Therefore, these changes modify how `compat` imports `Literal` by
always importing it from `typing_extensions`.

These changes also modify how `typing_extensions` is installed, so that
it is a requirement for all Python versions, including those greater
than or equal to 3.8.

* 🏷 Improve type annotation for `Language.pipe`

These changes add a missing overload variant to the type signature of
`Language.pipe`. Additionally, the type signature is enhanced to allow
type checkers to differentiate between the two overload variants based
on the `as_tuple` parameter.

Fixes #8772

*  Don't install `typing-extensions` in Python 3.8+

After more detailed analysis of how to implement Python version-specific
type annotations using SpaCy, it has been determined that by branching
on a comparison against `sys.version_info` can be statically analyzed by
Mypy well enough to enable us to conditionally use
`typing_extensions.Literal`. This means that we no longer need to
install `typing_extensions` for Python versions greater than or equal to
3.8! 🎉

These changes revert previous changes installing `typing-extensions`
regardless of Python version and modify how we import the `Literal` type
to ensure that Mypy treats it properly.

* resolve mypy errors for Strict pydantic types

* refactor code to avoid missing return statement

* fix types of convert CLI command

* avoid list-set confustion in debug_data

* fix typo and formatting

* small fixes to avoid type ignores

* fix types in profile CLI command and make it more efficient

* type fixes in projects CLI

* put one ignore back

* type fixes for render

* fix render types - the sequel

* fix BaseDefault in language definitions

* fix type of noun_chunks iterator - yields tuple instead of span

* fix types in language-specific modules

* 🏷 Expand accepted inputs of `get_string_id`

`get_string_id` accepts either a string (in which case it returns its 
ID) or an ID (in which case it immediately returns the ID). These 
changes extend the type annotation of `get_string_id` to indicate that 
it can accept either strings or IDs.

* 🏷 Handle override types in `combine_score_weights`

The `combine_score_weights` function allows users to pass an `overrides` 
mapping to override data extracted from the `weights` argument. Since it 
allows `Optional` dictionary values, the return value may also include 
`Optional` dictionary values.

These changes update the type annotations for `combine_score_weights` to 
reflect this fact.

* 🏷 Fix tokenizer serialization method signatures in `DummyTokenizer`

* 🏷 Fix redefinition of `wandb_logger`

These changes fix the redefinition of `wandb_logger` by giving a 
separate name to each `WandbLogger` version. For 
backwards-compatibility, `spacy.train` still exports `wandb_logger_v3` 
as `wandb_logger` for now.

* more fixes for typing in language

* type fixes in model definitions

* 🏷 Annotate `_RandomWords.probs` as `NDArray`

* 🏷 Annotate `tok2vec` layers to help Mypy

* 🐛 Fix `_RandomWords.probs` type annotations for Python 3.6

Also remove an import that I forgot to move to the top of the module 😅

* more fixes for matchers and other pipeline components

* quick fix for entity linker

* fixing types for spancat, textcat, etc

* bugfix for tok2vec

* type annotations for scorer

* add runtime_checkable for Protocol

* type and import fixes in tests

* mypy fixes for training utilities

* few fixes in util

* fix import

* 🐵 Remove unused `# type: ignore` directives

* 🏷 Annotate `Language._components`

* 🏷 Annotate `spacy.pipeline.Pipe`

* add doc as property to span.pyi

* small fixes and cleanup

* explicit type annotations instead of via comment

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: svlandeg <svlandeg@github.com>
2021-10-14 15:21:40 +02:00
Adriane Boyd
f99d6d5e39
Refactor scoring methods to use registered functions (#8766)
* Add scorer option to components

Add an optional `scorer` parameter to all pipeline components. If a
scoring function is provided, it overrides the default scoring method
for that component.

* Add registered scorers for all components

* Add `scorers` registry
* Move all scoring methods outside of components as independent
  functions and register
* Use the registered scoring methods as defaults in configs and inits

Additional:

* The scoring methods no longer have access to the full component, so
  use settings from `cfg` as default scorer options to handle settings
  such as `labels`, `threshold`, and `positive_label`
* The `attribute_ruler` scoring method no longer has access to the
  patterns, so all scoring methods are called
* Bug fix: `spancat` scoring method is updated to set `allow_overlap` to
  score overlapping spans correctly

* Update Russian lemmatizer to use direct score method

* Check type of cfg in Pipe.score

* Fix check

* Update spacy/pipeline/sentencizer.pyx

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Remove validate_examples from scoring functions

* Use Pipe.labels instead of Pipe.cfg["labels"]

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2021-08-10 15:13:39 +02:00
Adriane Boyd
5eeb25f043 Tidy up code 2021-06-28 12:08:15 +02:00
Giovanni Toffoli
19521d525b
Added Italian POS-aware lemmatizer. (#8079)
* Added Italian POS-aware lemmatizer.

Also added the code used to build the lookup tables by POS.

* Create gtoffoli.md

* Add imports and format

* Remove helper script

* Use lemma_lookup instead of lemma_lookup_legacy

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2021-06-16 11:14:45 +02:00
Jacopo Farina
c105ed10fd
Remove torino from stop words (#7634)
Torino is the proper name of a city and the token has no other meaning
2021-04-26 16:53:43 +02:00
m0canu1
921feee092
Added more exception to the italian language from https://forum.wordr… (#7246)
* Added more exception to the italian language from https://forum.wordreference.com/threads/le-abbreviazioni-nella-lingua-italiana-abbreviations-in-italian.2464189/

* Remove unnecessary exception

Co-authored-by: Alexandru Mocanu <alexandru.mocanu@augeos.it>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2021-03-30 10:23:32 +02:00
Ines Montani
38f6ea7a78 Simplify language data and revert detailed configs 2020-07-24 14:50:26 +02:00
Ines Montani
a624ae0675 Remove POS, TAG and LEMMA from tokenizer exceptions 2020-07-22 23:09:01 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Adriane Boyd
2f981d5af1 Remove corpus-specific tag maps
Remove corpus-specific tag maps from the language data for languages
without custom tokenizers. For languages with custom word segmenters
that also provide tags (Japanese and Korean), the tag maps for the
custom tokenizers are kept as the default.

The default tag maps for languages without custom tokenizers are now the
default tag map from `lang/tag_map/py`, UPOS -> UPOS.
2020-07-15 15:58:29 +02:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
adrianeboyd
1a944e5976
Improve Italian tokenization (#5204)
Improve Italian tokenization for UD_Italian-ISDT.
2020-03-25 11:28:02 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00
Ines Montani
d64cfce546 Remove unnecessary newline replace 2019-11-15 16:19:01 +01:00
Ines Montani
e0cf4796a5 Move lookup tables out of the core library (#4346)
* Add default to util.get_entry_point

* Tidy up entry points

* Read lookups from entry points

* Remove lookup tables and related tests

* Add lookups install option

* Remove lemmatizer tests

* Remove logic to process language data files

* Update setup.cfg
2019-10-01 00:01:27 +02:00
Ines Montani
5ca7dd0f94
💫 WIP: Basic lookup class scaffolding and JSON for all lemmati… (#4167)
* Improve load_language_data helper

* WIP: Add Lookups implementation

* Start moving lemma data over to JSON

* WIP: move data over for more languages

* Convert more languages

* Fix lemmatizer fixtures in tests

* Finish conversion

* Auto-format JSON files

* Fix test for now

* Make sure tables are stored on instance
2019-08-22 14:21:32 +02:00
Ines Montani
f580302673 Tidy up and auto-format 2019-08-20 17:36:34 +02:00
Paul O'Leary McCann
756b66b7c0 Reduce size of language data (#4141)
* Move Turkish lemmas to a json file

Rather than a large dict in Python source, the data is now a big json
file. This includes a method for loading the json file, falling back to
a compressed file, and an update to MANIFEST.in that excludes json in
the spacy/lang directory.

This focuses on Turkish specifically because it has the most language
data in core.

* Transition all lemmatizer.py files to json

This covers all lemmatizer.py files of a significant size (>500k or so).
Small files were left alone.

None of the affected files have logic, so this was pretty
straightforward.

One unusual thing is that the lemma data for Urdu doesn't seem to be
used anywhere. That may require further investigation.

* Move large lang data to json for fr/nb/nl/sv

These are the languages that use a lemmatizer directory (rather than a
single file) and are larger than English.

For most of these languages there were many language data files, in
which case only the large ones (>500k or so) were converted to json. It
may or may not be a good idea to migrate the remaining Python files to
json in the future.

* Fix id lemmas.json

The contents of this file were originally just copied from the Python
source, but that used single quotes, so it had to be properly converted
to json first.

* Add .json.gz to gitignore

This covers the json.gz files built as part of distribution.

* Add language data gzip to build process

Currently this gzip data on every build; it works, but it should be
changed to only gzip when the source file has been updated.

* Remove Danish lemmatizer.py

Missed this when I added the json.

* Update to match latest explosion/srsly#9

The way gzipped json is loaded/saved in srsly changed a bit.

* Only compress language data if necessary

If a .json.gz file exists and is newer than the corresponding json file,
it's not recompressed.

* Move en/el language data to json

This only affected files >500kb, which was nouns for both languages and
the generic lookup table for English.

* Remove empty files in Norwegian tokenizer

It's unclear why, but the Norwegian (nb) tokenizer had empty files for
adj/adv/noun/verb lemmas. This may have been a result of copying the
structure of the English lemmatizer.

This removed the files, but still creates the empty sets in the
lemmatizer. That may not actually be necessary.

* Remove dubious entries in English lookup.json

" furthest" and " skilled" - both prefixed with a space - were in the
English lookup table. That seems obviously wrong so I have removed them.

* Fix small issues with en/fr lemmatizers

The en tokenizer was including the removed _nouns.py file, so that's
removed.

The fr tokenizer is unusual in that it has a lemmatizer directory with
both __init__.py and lemmatizer.py. lemmatizer.py had not been converted
to load the json language data, so that was fixed.

* Auto-format

* Auto-format

* Update srsly pin

* Consistently use pathlib paths
2019-08-20 14:54:11 +02:00
Sofie
9a478b6db8 Clean up of char classes, few tokenizer fixes and faster default French tokenizer (#3293)
* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* remove duplicate

* remove xfail for Issue #2179 fixed by Matt

* adjust documentation and remove reference to regex lib
2019-02-20 22:10:13 +01:00
Sofie
9745b0d523 Improve Italian & Urdu tokenization accuracy (#3228)
## Description

1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour.

2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour.

### Types of change
Enhancement of Italian & Urdu tokenization

## Checklist
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2019-02-04 22:39:25 +01:00
Ines Montani
eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)

Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.

At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.

### Types of change
enhancement, code style

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 17:03:03 +01:00
Matthew Honnibal
21047bde52 Fix syntax error in italian lemmatizer 2018-04-03 23:13:22 +02:00
ines
11c4735ccf Fix issue in Italian lemmatizer data (resolves #2050) 2018-03-27 23:55:22 +02:00
Jim O'Regan
ba6a23fd11 BOM in Italian lemmatiser 2017-11-29 17:40:07 +00:00
ines
975e1042ff Fix Italian tag map 2017-11-05 18:34:09 +01:00
Matthew Honnibal
0d4bd6414e Fix Italian tag map 2017-11-05 14:11:03 +01:00
ines
f7485a09c8 Fix Italian tag map 2017-11-05 13:12:58 +01:00
ines
3cef901834 Add tag map for French and Italian 2017-11-04 23:32:51 +01:00
ines
8ce6f96180 Don't make copies of language data components 2017-10-11 15:34:55 +02:00
ines
417d45f5d0 Add lemmatizer data as variable on language data
Don't create lookup lemmatizer within Language class and just pass in
the data so it can be set on Token creation
2017-10-11 02:24:58 +02:00
ines
0c2343d73a Tidy up language data 2017-10-11 02:22:49 +02:00
ines
1fe5e1a4d1 Add language example sentences (see #1107)
da, de, en, es, fr, he, it, nb, pl, pt, sv
2017-08-19 12:22:29 +02:00
ines
4c643d74c5 Add norm exceptions to other Language classes 2017-06-03 22:29:21 +02:00
ines
924e8506de Move Defaults subclass to module scope (necessary for pickling) 2017-05-20 19:02:27 +02:00
ines
73b577cb01 Fix relative imports 2017-05-08 22:29:04 +02:00
ines
ae99990f63 Fix formatting 2017-05-08 22:23:48 +02:00
ines
f46ffe3e89 Move language data to /lang module 2017-05-08 20:00:40 +02:00