Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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49 lines
1.5 KiB
49 lines
1.5 KiB
4 years ago
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from io import BytesIO
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import os
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import pytest
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import pandas.util._test_decorators as td
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from pandas import read_csv
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import pandas._testing as tm
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def test_streaming_s3_objects():
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# GH17135
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# botocore gained iteration support in 1.10.47, can now be used in read_*
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pytest.importorskip("botocore", minversion="1.10.47")
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from botocore.response import StreamingBody
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data = [b"foo,bar,baz\n1,2,3\n4,5,6\n", b"just,the,header\n"]
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for el in data:
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body = StreamingBody(BytesIO(el), content_length=len(el))
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read_csv(body)
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@tm.network
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@td.skip_if_no("s3fs")
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def test_read_without_creds_from_pub_bucket():
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# GH 34626
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# Use Amazon Open Data Registry - https://registry.opendata.aws/gdelt
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result = read_csv("s3://gdelt-open-data/events/1981.csv", nrows=3)
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assert len(result) == 3
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@tm.network
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@td.skip_if_no("s3fs")
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def test_read_with_creds_from_pub_bucke():
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# Ensure we can read from a public bucket with credentials
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# GH 34626
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# Use Amazon Open Data Registry - https://registry.opendata.aws/gdelt
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with tm.ensure_safe_environment_variables():
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# temporary workaround as moto fails for botocore >= 1.11 otherwise,
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# see https://github.com/spulec/moto/issues/1924 & 1952
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os.environ.setdefault("AWS_ACCESS_KEY_ID", "foobar_key")
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os.environ.setdefault("AWS_SECRET_ACCESS_KEY", "foobar_secret")
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df = read_csv(
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"s3://gdelt-open-data/events/1981.csv", nrows=5, sep="\t", header=None,
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)
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assert len(df) == 5
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