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5 files changed

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CHANGES.txt

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@@ -73,4 +73,5 @@ v0.1.9b1:
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2020-01-20 -- 9f8b82f Use atol instead of rtol in readcompare.py
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2020-01-20 -- d3625e3 Fix for wrong error message (#24)
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v0.1.9b2:
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2020-05-25 -- 23b659c Simplify dtype/length code
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Makefile

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@@ -39,7 +39,7 @@ URL=https://upload.pypi.org/
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REP=pypi
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# Default Python version to use for tests
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PYTHON=python3.8
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PYTHON=python3.7
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PYTHON_VER=$(subst python,,$(PYTHON))
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# Python versions to test
@@ -156,7 +156,6 @@ package-test:
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pip install dist/hapiclient-$(VERSION).tar.gz \
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--index-url $(URL)/simple \
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--extra-index-url https://pypi.org/simple && \
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env-$(PYTHON)/bin/python /tmp/hapi_demo.py && \
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env-$(PYTHON)/bin/pytest -v -m 'short' hapiclient/test/test_hapi.py
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################################################################################
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hapiclient/test/readcompare.log

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@@ -3,58 +3,58 @@ Parameter(s) = scalar; run = short. cache = False; usecache = False
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___________________________________________________________
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Method total d/l->buff parse buff
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___________________________________________________________
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csv; numpy; no len. 0.2259 0.2012 0.0010
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csv; pandas; no len. 0.2217 0.1939 0.0035
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csv; numpy 0.2685 0.2422 0.0003
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csv; pandas 0.2267 0.1982 0.0027
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binary 0.2076 0.1638 0.0000
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csv; numpy; no len. 0.2200 0.1984 0.0003
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csv; pandas; no len. 0.2166 0.1931 0.0021
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csv; numpy 0.2104 0.1892 0.0002
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csv; pandas 0.2242 0.2013 0.0015
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binary 0.2038 0.1591 0.0000
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Parameter(s) = scalar,vector; run = short. cache = False; usecache = False
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___________________________________________________________
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Method total d/l->buff parse buff
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___________________________________________________________
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csv; numpy; no len. 0.2212 0.1981 0.0007
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csv; pandas; no len. 0.2278 0.1954 0.0030
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csv; numpy 0.2183 0.1943 0.0003
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csv; pandas 0.2165 0.1866 0.0042
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binary 0.1999 0.1579 0.0000
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csv; numpy; no len. 0.2176 0.1952 0.0004
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csv; pandas; no len. 0.4133 0.3865 0.0027
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csv; numpy 0.2166 0.1921 0.0002
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csv; pandas 0.2177 0.1949 0.0017
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binary 0.1857 0.1499 0.0000
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Parameter(s) = ; run = short. cache = False; usecache = False
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___________________________________________________________
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Method total d/l->buff parse buff
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___________________________________________________________
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csv; numpy; no len. 0.2150 0.1836 0.0072
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csv; pandas; no len. 0.2349 0.1830 0.0196
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csv; numpy 0.2110 0.1855 0.0034
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csv; pandas 0.2397 0.1945 0.0201
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binary 0.2190 0.1749 0.0000
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csv; numpy; no len. 0.1760 0.1498 0.0042
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csv; pandas; no len. 0.1928 0.1570 0.0118
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csv; numpy 0.2229 0.1960 0.0018
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csv; pandas 0.2369 0.2003 0.0116
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binary 0.3107 0.2641 0.0000
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Parameter(s) = scalar; run = short. cache = True; usecache = False
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_____________________________________________________________
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Method total d/l->file read & parse file
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_____________________________________________________________
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csv; numpy; no len. 0.2306 0.2008 0.0014
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csv; pandas; no len. 0.2252 0.1952 0.0028
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csv; numpy 0.2257 0.1956 0.0005
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csv; pandas 0.2254 0.1952 0.0028
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binary 0.2271 0.1763 0.0001
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csv; numpy; no len. 0.2337 0.1919 0.0009
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csv; pandas; no len. 0.2223 0.1971 0.0016
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csv; numpy 0.1955 0.1694 0.0004
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csv; pandas 0.1994 0.1732 0.0018
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binary 0.2105 0.1651 0.0001
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Parameter(s) = scalar,vector; run = short. cache = True; usecache = False
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_____________________________________________________________
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Method total d/l->file read & parse file
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_____________________________________________________________
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csv; numpy; no len. 0.2249 0.1970 0.0007
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csv; pandas; no len. 0.2544 0.2250 0.0030
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csv; numpy 0.2105 0.1820 0.0010
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csv; pandas 0.2121 0.1845 0.0030
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binary 0.2080 0.1607 0.0001
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csv; numpy; no len. 0.2109 0.1879 0.0006
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csv; pandas; no len. 0.2068 0.1818 0.0025
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csv; numpy 0.2132 0.1904 0.0004
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csv; pandas 0.2160 0.1892 0.0019
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binary 0.2190 0.1761 0.0002
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Parameter(s) = ; run = short. cache = True; usecache = False
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_____________________________________________________________
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Method total d/l->file read & parse file
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_____________________________________________________________
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csv; numpy; no len. 0.2480 0.2101 0.0092
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csv; pandas; no len. 0.2460 0.1963 0.0195
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csv; numpy 0.2222 0.1893 0.0037
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csv; pandas 0.2558 0.2041 0.0207
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binary 0.2244 0.1733 0.0001
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csv; numpy; no len. 0.1994 0.1687 0.0045
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csv; pandas; no len. 0.2024 0.1667 0.0124
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csv; numpy 0.1830 0.1567 0.0017
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csv; pandas 0.2034 0.1662 0.0116
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binary 0.2211 0.1770 0.0002

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