From 0042e68bd07b86ea47e5bc457b605c5e66acba45 Mon Sep 17 00:00:00 2001 From: Ben Kaehler Date: Fri, 15 Mar 2019 12:45:36 +1100 Subject: [PATCH 1/5] added a conda recipe --- conda/recipe/meta.yaml | 55 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 conda/recipe/meta.yaml diff --git a/conda/recipe/meta.yaml b/conda/recipe/meta.yaml new file mode 100644 index 0000000..c679610 --- /dev/null +++ b/conda/recipe/meta.yaml @@ -0,0 +1,55 @@ +{% set name = "redbiom" %} +{% set version = "0.3.1" %} + +package: + name: "{{ name|lower }}" + version: "{{ version }}" + +source: + url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz + sha256: f265467c76d6211148fa1a1423d6fc9b398da294d0c93249bb8398302ff309f4 + +build: + number: 0 + entry_points: + - redbiom=redbiom.commands:cli + script: "{{ PYTHON }} -m pip install . --no-deps --ignore-installed -vvv " + +requirements: + host: + - biom-format >=2.1.5 + - click >=6.7 + - h5py + - joblib + - nltk + - pandas + - pip + - pip + - python + - requests + - scikit-bio >=0.4.2 + - setuptools + run: + - biom-format >=2.1.5 + - click >=6.7 + - h5py + - joblib + - nltk + - pandas + - python + - requests + - scikit-bio >=0.4.2 + - setuptools + +test: + imports: + - redbiom + - redbiom.commands + - redbiom.tests + commands: + - redbiom --help + +about: + home: https://github.com/biocore/redbiom + license: BSD-3-Clause + license_family: BSD From 0f813b3fb8330c1ddadd0520067b47c80e0f3285 Mon Sep 17 00:00:00 2001 From: Ben Kaehler Date: Wed, 20 Mar 2019 14:19:31 +1100 Subject: [PATCH 2/5] Included nltk data to remove download horror. Updated conda recipe to work from local source. Bumped minor version. --- MANIFEST.in | 2 + conda/recipe/meta.yaml | 15 +- .../assets/nltk_data/corpora/stopwords/README | 16 ++ .../nltk_data/corpora/stopwords/english | 179 ++++++++++++++++++ redbiom/search.py | 4 + redbiom/tests/test_util.py | 4 + redbiom/util.py | 4 + setup.py | 30 +-- 8 files changed, 217 insertions(+), 37 deletions(-) create mode 100644 redbiom/assets/nltk_data/corpora/stopwords/README create mode 100644 redbiom/assets/nltk_data/corpora/stopwords/english diff --git a/MANIFEST.in b/MANIFEST.in index 9238617..c3f890d 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,6 +1,8 @@ include README.md include COPYING.txt include logo.png +include redbiom/assets/nltk_data/corpora/stopwords/README +include redbiom/assets/nltk_data/corpora/stopwords/english graft redbiom graft licenses diff --git a/conda/recipe/meta.yaml b/conda/recipe/meta.yaml index c679610..2bea409 100644 --- a/conda/recipe/meta.yaml +++ b/conda/recipe/meta.yaml @@ -1,19 +1,16 @@ -{% set name = "redbiom" %} -{% set version = "0.3.1" %} +{% set data = load_setup_py_data() %} +{% set version = data.get('version') or 'placehold' %} package: - name: "{{ name|lower }}" + name: redbiom version: "{{ version }}" source: - url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz - sha256: f265467c76d6211148fa1a1423d6fc9b398da294d0c93249bb8398302ff309f4 + path: ../.. build: - number: 0 - entry_points: - - redbiom=redbiom.commands:cli - script: "{{ PYTHON }} -m pip install . --no-deps --ignore-installed -vvv " + script: python setup.py install + noarch: generic requirements: host: diff --git a/redbiom/assets/nltk_data/corpora/stopwords/README b/redbiom/assets/nltk_data/corpora/stopwords/README new file mode 100644 index 0000000..7dc340f --- /dev/null +++ b/redbiom/assets/nltk_data/corpora/stopwords/README @@ -0,0 +1,16 @@ +Stopwords Corpus + +This corpus contains lists of stop words for english. These +are high-frequency grammatical words which are usually ignored in text +retrieval applications. Other languages are available from the link below. + +They were obtained from: +https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/corpora/stopwords.zip + +They were derived from: +http://anoncvs.postgresql.org/cvsweb.cgi/pgsql/src/backend/snowball/stopwords/ + +The English list has been augmented: +https://github.com/nltk/nltk_data/issues/22 + +Last updated 20 March 2019. diff --git a/redbiom/assets/nltk_data/corpora/stopwords/english b/redbiom/assets/nltk_data/corpora/stopwords/english new file mode 100644 index 0000000..1280aa3 --- /dev/null +++ b/redbiom/assets/nltk_data/corpora/stopwords/english @@ -0,0 +1,179 @@ +i +me +my +myself +we +our +ours +ourselves +you +you're +you've +you'll +you'd +your +yours +yourself +yourselves +he +him +his +himself +she +she's +her +hers +herself +it +it's +its +itself +they +them +their +theirs +themselves +what +which +who +whom +this +that +that'll +these +those +am +is +are +was +were +be +been +being +have +has +had +having +do +does +did +doing +a +an +the +and +but +if +or +because +as +until +while +of +at +by +for +with +about +against +between +into +through +during +before +after +above +below +to +from +up +down +in +out +on +off +over +under +again +further +then +once +here +there +when +where +why +how +all +any +both +each +few +more +most +other +some +such +no +nor +not +only +own +same +so +than +too +very +s +t +can +will +just +don +don't +should +should've +now +d +ll +m +o +re +ve +y +ain +aren +aren't +couldn +couldn't +didn +didn't +doesn +doesn't +hadn +hadn't +hasn +hasn't +haven +haven't +isn +isn't +ma +mightn +mightn't +mustn +mustn't +needn +needn't +shan +shan't +shouldn +shouldn't +wasn +wasn't +weren +weren't +won +won't +wouldn +wouldn't diff --git a/redbiom/search.py b/redbiom/search.py index 7cb2bc9..7c3d6df 100644 --- a/redbiom/search.py +++ b/redbiom/search.py @@ -22,6 +22,7 @@ def metadata_full(query, categories=False, get=None): set The observed sample IDs """ + from pathlib import Path import redbiom import redbiom.set_expr import redbiom.where_expr @@ -40,6 +41,9 @@ def metadata_full(query, categories=False, get=None): target = 'text-search' stemmer = nltk.PorterStemmer(nltk.PorterStemmer.MARTIN_EXTENSIONS) + nltk_data_path = str(Path(__file__).parent / 'assets' / 'nltk_data') + if nltk.data.path[0] != nltk_data_path: + nltk.data.path = [str(nltk_data_path)] + nltk.data.path stops = frozenset(nltk.corpus.stopwords.words('english')) stem_f = functools.partial(redbiom.util.stems, stops, stemmer) diff --git a/redbiom/tests/test_util.py b/redbiom/tests/test_util.py index e5d6845..8c27515 100644 --- a/redbiom/tests/test_util.py +++ b/redbiom/tests/test_util.py @@ -354,8 +354,12 @@ def test_df_to_stems(self): self.assertEqual(obs, exp) def test_stems(self): + from pathlib import Path import nltk stemmer = nltk.PorterStemmer(nltk.PorterStemmer.MARTIN_EXTENSIONS) + nltk_data_path = str(Path(__file__).parent / 'assets' / 'nltk_data') + if nltk.data.path[0] != nltk_data_path: + nltk.data.path = [str(nltk_data_path)] + nltk.data.path stops = frozenset(nltk.corpus.stopwords.words('english')) tests = [("foo bar", ['foo', 'bar']), ("foo $1.23 is the bar", ['foo', 'bar']), diff --git a/redbiom/util.py b/redbiom/util.py index 58041aa..b62863d 100644 --- a/redbiom/util.py +++ b/redbiom/util.py @@ -302,6 +302,7 @@ def df_to_stems(df): dict {stem: {set of indices}} """ + from pathlib import Path from collections import defaultdict import functools import nltk @@ -310,6 +311,9 @@ def df_to_stems(df): # instance, a javascript library can query stemmer = nltk.PorterStemmer(nltk.PorterStemmer.MARTIN_EXTENSIONS) + nltk_data_path = str(Path(__file__).parent / 'assets' / 'nltk_data') + if nltk.data.path[0] != nltk_data_path: + nltk.data.path = [str(nltk_data_path)] + nltk.data.path stops = frozenset(nltk.corpus.stopwords.words('english')) stem_f = functools.partial(stems, stops, stemmer) diff --git a/setup.py b/setup.py index d6b8991..98cf574 100644 --- a/setup.py +++ b/setup.py @@ -9,30 +9,6 @@ # ---------------------------------------------------------------------------- from setuptools import setup, find_packages -from setuptools.command.install import install -from setuptools.command.develop import develop -from setuptools.command.sdist import sdist - -# based on http://stackoverflow.com/a/36902139 - -def _post(): - import nltk - nltk.download('stopwords') - nltk.download('punkt') - - -class PostInstallCommand(install): - """Post-installation for installation mode.""" - def run(self): - install.run(self) - _post() - - -class PostDevelopCommand(develop): - """Post-installation for development mode.""" - def run(self): - develop.run(self) - _post() long_description = open('README.md').read() @@ -42,7 +18,7 @@ def run(self): setup( name='redbiom', - version='0.3.1', + version='0.3.2', license='BSD-3-Clause', author='Daniel McDonald', author_email='wasade@gmail.com', @@ -57,7 +33,5 @@ def run(self): entry_points=''' [console_scripts] redbiom=redbiom.commands:cli - ''', - cmdclass={'install': PostInstallCommand, - 'develop': PostDevelopCommand} + ''' ) From f3af47ff54c19bcf14c01de36896783e63b3299c Mon Sep 17 00:00:00 2001 From: Ben Kaehler Date: Wed, 20 Mar 2019 14:40:38 +1100 Subject: [PATCH 3/5] Iterate conda/recipe/meta.yaml --- conda/recipe/meta.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/conda/recipe/meta.yaml b/conda/recipe/meta.yaml index 2bea409..88ef4b0 100644 --- a/conda/recipe/meta.yaml +++ b/conda/recipe/meta.yaml @@ -20,7 +20,7 @@ requirements: - joblib - nltk - pandas - - pip + - singledispatch - pip - python - requests @@ -33,6 +33,7 @@ requirements: - joblib - nltk - pandas + - singledispatch - python - requests - scikit-bio >=0.4.2 From c79eb2930af1e34078558be90debd801d140868a Mon Sep 17 00:00:00 2001 From: Ben Kaehler Date: Wed, 27 Mar 2019 16:23:25 +1100 Subject: [PATCH 4/5] fixed punkt dependency and made code python 2.7-friendly --- MANIFEST.in | 4 + .../nltk_data/tokenizers/punkt/PY3/README | 98 + .../tokenizers/punkt/PY3/english.pickle | Bin 0 -> 406697 bytes .../assets/nltk_data/tokenizers/punkt/README | 98 + .../nltk_data/tokenizers/punkt/english.pickle | 61702 ++++++++++++++++ redbiom/search.py | 6 +- redbiom/tests/test_util.py | 6 +- redbiom/util.py | 11 +- 8 files changed, 61915 insertions(+), 10 deletions(-) create mode 100644 redbiom/assets/nltk_data/tokenizers/punkt/PY3/README create mode 100644 redbiom/assets/nltk_data/tokenizers/punkt/PY3/english.pickle create mode 100644 redbiom/assets/nltk_data/tokenizers/punkt/README create mode 100644 redbiom/assets/nltk_data/tokenizers/punkt/english.pickle diff --git a/MANIFEST.in b/MANIFEST.in index c3f890d..97e0000 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -3,6 +3,10 @@ include COPYING.txt include logo.png include redbiom/assets/nltk_data/corpora/stopwords/README include redbiom/assets/nltk_data/corpora/stopwords/english +redbiom/assets/nltk_data/tokenizers/punkt/PY3/english.pickle +redbiom/assets/nltk_data/tokenizers/punkt/PY3/README +redbiom/assets/nltk_data/tokenizers/punkt/english.pickle +redbiom/assets/nltk_data/tokenizers/punkt/README graft redbiom graft licenses diff --git a/redbiom/assets/nltk_data/tokenizers/punkt/PY3/README b/redbiom/assets/nltk_data/tokenizers/punkt/PY3/README new file mode 100644 index 0000000..49a637c --- /dev/null +++ b/redbiom/assets/nltk_data/tokenizers/punkt/PY3/README @@ -0,0 +1,98 @@ +Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected) + +Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have +been contributed by various people using NLTK for sentence boundary detection. + +For information about how to use these models, please confer the tokenization HOWTO: +http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html +and chapter 3.8 of the NLTK book: +http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation + +There are pretrained tokenizers for the following languages: + +File Language Source Contents Size of training corpus(in tokens) Model contributed by +======================================================================================================================================================================= +czech.pickle Czech Multilingual Corpus 1 (ECI) Lidove Noviny ~345,000 Jan Strunk / Tibor Kiss + Literarni Noviny +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +danish.pickle Danish Avisdata CD-Rom Ver. 1.1. 1995 Berlingske Tidende ~550,000 Jan Strunk / Tibor Kiss + (Berlingske Avisdata, Copenhagen) Weekend Avisen +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +dutch.pickle Dutch Multilingual Corpus 1 (ECI) De Limburger ~340,000 Jan Strunk / Tibor Kiss +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +english.pickle English Penn Treebank (LDC) Wall Street Journal ~469,000 Jan Strunk / Tibor Kiss + (American) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +estonian.pickle Estonian University of Tartu, Estonia Eesti Ekspress ~359,000 Jan Strunk / Tibor Kiss +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +finnish.pickle Finnish Finnish Parole Corpus, Finnish Books and major national ~364,000 Jan Strunk / Tibor Kiss + Text Bank (Suomen Kielen newspapers + Tekstipankki) + Finnish Center for IT Science + (CSC) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +french.pickle French Multilingual Corpus 1 (ECI) Le Monde ~370,000 Jan Strunk / Tibor Kiss + (European) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +german.pickle German Neue Zürcher Zeitung AG Neue Zürcher Zeitung ~847,000 Jan Strunk / Tibor Kiss + (Switzerland) CD-ROM + (Uses "ss" + instead of "ß") +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +greek.pickle Greek Efstathios Stamatatos To Vima (TO BHMA) ~227,000 Jan Strunk / Tibor Kiss +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +italian.pickle Italian Multilingual Corpus 1 (ECI) La Stampa, Il Mattino ~312,000 Jan Strunk / Tibor Kiss +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +norwegian.pickle Norwegian Centre for Humanities Bergens Tidende ~479,000 Jan Strunk / Tibor Kiss + (Bokmål and Information Technologies, + Nynorsk) Bergen +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +polish.pickle Polish Polish National Corpus Literature, newspapers, etc. ~1,000,000 Krzysztof Langner + (http://www.nkjp.pl/) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +portuguese.pickle Portuguese CETENFolha Corpus Folha de São Paulo ~321,000 Jan Strunk / Tibor Kiss + (Brazilian) (Linguateca) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +slovene.pickle Slovene TRACTOR Delo ~354,000 Jan Strunk / Tibor Kiss + Slovene Academy for Arts + and Sciences +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +spanish.pickle Spanish Multilingual Corpus 1 (ECI) Sur ~353,000 Jan Strunk / Tibor Kiss + (European) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +swedish.pickle Swedish Multilingual Corpus 1 (ECI) Dagens Nyheter ~339,000 Jan Strunk / Tibor Kiss + (and some other texts) +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- +turkish.pickle Turkish METU Turkish Corpus Milliyet ~333,000 Jan Strunk / Tibor Kiss + (Türkçe Derlem Projesi) + University of Ankara +----------------------------------------------------------------------------------------------------------------------------------------------------------------------- + +The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to +Unicode using the codecs module. + +Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection. +Computational Linguistics 32: 485-525. + +---- Training Code ---- + +# import punkt +import nltk.tokenize.punkt + +# Make a new Tokenizer +tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer() + +# Read in training corpus (one example: Slovene) +import codecs +text = codecs.open("slovene.plain","Ur","iso-8859-2").read() + +# Train tokenizer +tokenizer.train(text) + +# Dump pickled tokenizer +import pickle +out = open("slovene.pickle","wb") +pickle.dump(tokenizer, out) +out.close() + +--------- diff --git a/redbiom/assets/nltk_data/tokenizers/punkt/PY3/english.pickle 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z_9NE>r+0tv-l%(ae`9QVul;|c4DxR`1YBIs%7@T9=S<&P=T_*Qe`D0ZYM#d#*~#M$_ae zcD^nv7Fo5?5yV)pO^7AEBHF^|bpq+LFaT|hh27R3k?)-}Niko0_h)DS+mcA#QAq6T zKCRQy_m!~sxHh?8_cwZ>`*&Gz^;@V1bd)OEdZ3iOJZAMis3S0&tOrY28WQwF{98V? zP!H|WV8T=n>xd0z|HCC(e=JN5>k%ELrEWd4OUOaH9@P;eR^X#0{F$Yy$Mhd|*JC?k zz&d(dPmJsF9Wl@EJfSD%>a30!(H&3h2%@UilR9F=I(u?YEY(vwV!)TDcEpIHpVkor zh^P0&Og*C`P#)FU9Wj7wJhLN4%-Uyl#3oGm*&VS26MarkEY~?5fx$sNw<9*EM)f=i z`@QP<{JHe|6Zz+=mjZOimY9Su=#nq-doS#gkLpDx-^OxnDdA}KVm~^6Wp88Z@RC03 nQoU5d!J9gA>d1Oo_i1KfzFrP7`|x@N|D9H^./?;:') @@ -345,6 +345,9 @@ def stems(stops, stemmer, string): raise StopIteration # for each word + nltk_data_path = join(dirname(__file__), 'assets', 'nltk_data') + if nltk.data.path[0] != nltk_data_path: + nltk.data.path = [nltk_data_path] + nltk.data.path for word in nltk.tokenize.word_tokenize(string): if word in to_skip or len(word) == 1: continue From a92cdd4e9e6286ba6f8d6ba3e3cf72f94cbab7da Mon Sep 17 00:00:00 2001 From: Ben Kaehler Date: Wed, 27 Mar 2019 18:37:09 +1100 Subject: [PATCH 5/5] kludge to fix cython dependency introduced by hdmedians --- conda/recipe/meta.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/conda/recipe/meta.yaml b/conda/recipe/meta.yaml index 88ef4b0..8f4c0b9 100644 --- a/conda/recipe/meta.yaml +++ b/conda/recipe/meta.yaml @@ -14,6 +14,7 @@ build: requirements: host: + - cython - biom-format >=2.1.5 - click >=6.7 - h5py @@ -27,6 +28,7 @@ requirements: - scikit-bio >=0.4.2 - setuptools run: + - cython - biom-format >=2.1.5 - click >=6.7 - h5py