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class Bar
  include ActiveModel::Model

  attr_accessor :foo, :bar
end

class Foo
  include ActiveModel::Model
  include ActiveModel::Serializers::JSON

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FROM docker.elastic.co/elasticsearch/elasticsearch:6.1.2
RUN elasticsearch-plugin install analysis-kuromoji
RUN elasticsearch-plugin install org.codelibs:elasticsearch-analysis-kuromoji-neologd:5.6.1

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平成29年版

厚生労働白書
（平成28年度厚生労働行政年次報告）

厚 生 労 働 省

―社会保障と経済成長―

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"""
# pip install pandas sklearn dask_xgboost
"""

from sklearn import datasets

#--- dataset
iris = datasets.load_iris()
print(iris.feature_names)
X = iris.data

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FROM docker.elastic.co/elasticsearch/elasticsearch:6.2.1
LABEL maintainer "kuryu <[email protected]>"

RUN elasticsearch-plugin install analysis-icu
RUN elasticsearch-plugin install analysis-kuromoji
RUN elasticsearch-plugin install ingest-attachment

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BUCKET_NAME=some_bucket
PATTERN='some_pattern'

aws s3 ls --recursive s3://${BUCKET_NAME} | rev | cut -f1 -d' ' | rev > file_lst

cat file_lst  | grep -oP "$PATTERN" | xargs -I{} echo "aws s3 rm --recursive 's3://${BUCKET_NAME}/{}'" > rm_cmd.sh

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curl -s -v -XPOST localhost:6001 --data-binary @all.pdf

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import itertools
def each_slice(iterable, n):
    for i, item in itertools.groupby(enumerate(iterable), lambda x: x[0] // n):
        yield (x[1] for x in item)
        
for x in each_slice(range(10), 3):
    print(tuple(x))

"""output
(0, 1, 2)