8000 FIX-#1988: Fix indexing over Series via `loc` when slice is passed by YarShev · Pull Request #2262 · modin-project/modin · GitHub
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FIX-#1988: Fix indexing over Series via loc when slice is passed #2262

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Merged
merged 1 commit into from
Oct 19, 2020
Merged

FIX-#1988: Fix indexing over Series via loc when slice is passed #2262

merged 1 commit into from
Oct 19, 2020

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YarShev
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@YarShev YarShev commented Oct 16, 2020 •
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Signed-off-by: Igoshev, Yaroslav yaroslav.igoshev@intel.com

What do these changes do?
@YarShev
FIX-modin-project#1988: Fix indexing over Series via loc
9f30d97 
when slice is passed

Signed-off-by: Igoshev, Yaroslav <yaroslav.igoshev@intel.com>
@YarShev YarShev self-assigned this Oct 16, 2020
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codecov bot commented Oct 16, 2020 •
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Codecov Report

Merging #2262 into master will increase coverage by 0.81%.
The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master    #2262      +/-   ##
==========================================
+ Coverage   69.60%   70.42%   +0.81%     
==========================================
  Files         118      112       -6     
  Lines       12823    12583     -240     
==========================================
- Hits         8926     8861      -65     
+ Misses       3897     3722     -175
Impacted Files Coverage Δ
modin/pandas/indexing.py 85.04% <100.00%> (+0.46%) ⬆️
...ement/functions/default_methods/groupby_default.py 24.41% <0.00%> (-73.26%) ⬇️
...gement/functions/default_methods/binary_default.py 30.00% <0.00%> (-65.00%) ⬇️
modin/backends/base/query_compiler.py 61.59% <0.00%> (-37.82%) ⬇️
...ta_management/functions/default_methods/default.py 63.15% <0.00%> (-31.58%) ⬇️
...ment/functions/default_methods/resample_default.py 62.50% <0.00%> (-31.25%) ⬇️
...ement/functions/default_methods/rolling_default.py 71.42% <0.00%> (-21.43%) ⬇️
...anagement/functions/default_methods/cat_default.py 80.00% <0.00%> (-20.00%) ⬇️
...anagement/functions/default_methods/str_default.py 80.00% <0.00%> (-20.00%) ⬇️
...gement/functions/default_methods/series_default.py 80.00% <0.00%> (-20.00%) ⬇️
... and 25 more

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Tests PASSed

Tests Logs 
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sX..................s..... [ 34%]
................s............................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


=========== 116 passed, 8 skipped, 2 xpassed, 139 warnings in 38.02s ===========
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
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........................................................................ [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 12081 warnings in 82.28s (0:01:22) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sX..................s..... [ 34%]
................s............................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


=========== 116 passed, 8 skipped, 2 xpassed, 139 warnings in 38.02s ===========
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
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gw0 [5480] / gw1 [5480] / gw2 [5480] / gw3 [5480] / gw4 [5480] / gw5 [5480] / gw6 [5480] / gw7 [5480] / gw8 [5480] / gw9 [5480] / gw10 [5480] / gw11 [5480] / gw12 [5480] / gw13 [5480] / gw14 [5480] / gw15 [5480] / gw16 [5480] / gw17 [5480] / gw18 [5480] / gw19 [5480] / gw20 [5480] / gw21 [5480] / gw22 [5480] / gw23 [5480] / gw24 [5480] / gw25 [5480] / gw26 [5480] / gw27 [5480] / gw28 [5480] / gw29 [5480] / gw30 [5480] / gw31 [5480] / gw32 [5480] / gw33 [5480] / gw34 [5480] / gw35 [5480] / gw36 [5480] / gw37 [5480] / gw38 [5480] / gw39 [5480] / gw40 [5480] / gw41 [5480] / gw42 [5480] / gw43 [5480] / gw44 [5480] / gw45 [5480] / gw46 [5480] / gw47 [5480]

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........................................................................ [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 12081 warnings in 82.28s (0:01:22) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful

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TeamCity Ray test results bot

Tests PASSed

Tests Logs 
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sx..................s..... [ 34%]
.............................................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


= 117 passed, 7 skipped, 1 xfailed, 1 xpassed, 92 warnings in 61.36s (0:01:01) =
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
gw0 [5480] / gw1 [5480] / gw2 [5480] / gw3 [5480] / gw4 [5480] / gw5 [5480] / gw6 [5480] / gw7 [5480] / gw8 [5480] / gw9 [5480] / gw10 [5480] / gw11 [5480] / gw12 [5480] / gw13 [5480] / gw14 [5480] / gw15 [5480] / gw16 [5480] / gw17 [5480] / gw18 [5480] / gw19 [5480] / gw20 [5480] / gw21 [5480] / gw22 [5480] / gw23 [5480] / gw24 [5480] / gw25 [5480] / gw26 [5480] / gw27 [5480] / gw28 [5480] / gw29 [5480] / gw30 [5480] / gw31 [5480] / gw32 [5480] / gw33 [5480] / gw34 [5480] / gw35 [5480] / gw36 [5480] / gw37 [5480] / gw38 [5480] / gw39 [5480] / gw40 [5480] / gw41 [5480] / gw42 [5480] / gw43 [5480] / gw44 [5480] / gw45 [5480] / gw46 [5480] / gw47 [5480]

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.X.....X...............................X....x........................... [ 21%]
.......................�[2m�[36m(pid=5616)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5616)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m becomes:
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5616)�[0m 
............x..............................X....X [ 22%]
...........x..............................X..........x.................. [ 23%]
.................X.........X....................................X....... [ 25%]
..............�[2m�[36m(pid=6651)�[0m error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
�[2m�[36m(pid=6651)�[0m fatal: bad object HEAD
........................................X................. [ 26%]
....X......X.................................X.......X...X.............. [ 27%]
.............X....XX.................................................X.X [ 28%]
.....X..................X..........XX..........x...........X............ [ 30%]
X.....................................................................X. [ 31%]
....x......................X..X..........X......................X....... [ 32%]
......X................................................................. [ 34%]
......................................................................X.. [ 35%]
............................................X..X........x...........XX.. [ 36%]
.........X.....X....x.....................x.x..x....................x... [ 38%]
...x......X...........x.........x..........x.XX.........XX.X..........x. [ 39%]
...x.....XXX..XX.........X...X.X....x..........................x........ [ 40%]
.............X...XX.X..........X.....X..............x................... [ 42%]
.....x.....s..................x.x..............x........................ [ 43%]
...x.......................................x.................x.......... [ 44%]
....X..........................................X........................ [ 46%]
........................................................................ [ 47%]
..X..............sss..s.sss.ssss..ss.ssssss.....ssssssxx...ss........x�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated..x [ 48%]
......................................................s...�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
s......x..x..�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
. [ 49%]
..................................�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
...�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m .
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2).
�[2m�[36m(pid=5628)�[0m .
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
............�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.s
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
.�[2m�[36m(pid=6375)�[0m 

�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
.�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
sss..s..ss....... [ 51%]
.......�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m .
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
.........................�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m
8000
[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
..................�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
..................... [ 52%]
........................................................................ [ 53%]
.....................................X...............................X.. [ 55%]
..................X......X....x..........x.............................. [ 56%]
..........................................�[2m�[36m(pid=5620)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5620)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m becomes:
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5620)�[0m 
.............................. [ 57%]
......................................................................... [ 59%]
................s............................................x........... [ 60%]
.....x.................................................X..............X.. [ 61%]
.................X.X...............x................X........xxXXX.XX... [ 63%]
..x..................................................................... [ 64%]
..........X......X..............X...........................x........... [ 65%]
......x................................X...X.........................s.. [ 67%]
......................................ss................................ [ 68%]
.........x........................x..................................... [ 69%]
........................................................................ [ 71%]
........................................................................ [ 72%]
........................................................................ [ 73%]
......................................s............................s.... [ 75%]
.................s........s......s...s..x...s...s................sx.xs.. [ 76%]
s................s.s.....x.....s..x.s.x.....sx...s..x.......x.........s. [ 77%]
..s......s.....x.....X.....................s...X.....X.........X....s.X. [ 78%]
....X....X.xX....sX....X..X.....XX......s..xXXXX......X..X..X.XX......x. [ 80%]
x....X..X.X..x...XX...X...X....XX.X.x.X..X......X....X.....X........X... [ 81%]
..x.X..........X....X.x............X.................................... [ 82%]
......X....x........................................x................... [ 84%]
X.............................X......................................... [ 85%]
X...................sx........x.X..........X...................X........ [ 86%]
.....x...................xx........X...x......xx.x..Xx..x............... [ 88%]
.....X......x..................x.............X.................X........ [ 89%]
X........................................X.............................. [ 90%]
........................................................................ [ 92%]
..................x.s...X.....x....xxx.X.x.xx......x...x.XXX..X.X....Xx. [ 93%]
.x..x.x..x..x.x..x.XXXXX.X....x.xx.xx.x.xXX.....x..x..X.x..x�[2m�[36m(pid=6208)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.x...xxx�[2m�[36m(pid=6328)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.xX. [ 94%]
XX.XX�[2m�[36m(pid=6074)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6074)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
X.xx�[2m�[36m(pid=6106)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...xxxx..x.�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
x.XX.X.x..�[2m�[36m(pid=5632)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5699)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5699)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...x....x�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
....�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...�[2m�[36m(pid=6893)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6893)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
........................�[2m�[36m(pid=5379)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.. [ 96%]
..�[2m�[36m(pid=1508)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.....x..............................�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
........�[2m�[36m(pid=1472)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1472)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
..�[2m�[36m(pid=5627)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5627)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.�[2m�[36m(pid=6106)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
............�[2m�[36m(pid=1045)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1045)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
....�[2m�[36m(pid=6371)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6371)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
... [ 97%]
....�[2m�[36m(pid=3261)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...........�[2m�[36m(pid=5379)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.....�[2m�[36m(pid=6059)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6059)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
..............�[2m�[36m(pid=5966)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...............�[2m�[36m(pid=3449)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...........�[2m�[36m(pid=5637)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
............. [ 98%]
.....�[2m�[36m(pid=5637)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...................................X.X.x.x......................... [ 99%]
.                                                                        [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD
�[2m�[36m(pid=379)�[0m error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
�[2m�[36m(pid=379)�[0m fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 11307 warnings in 90.63s (0:01:30) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sx..................s..... [ 34%]
.............................................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


= 117 passed, 7 skipped, 1 xfailed, 1 xpassed, 92 warnings in 61.36s (0:01:01) =
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
gw0 [5480] / gw1 [5480] / gw2 [5480] / gw3 [5480] / gw4 [5480] / gw5 [5480] / gw6 [5480] / gw7 [5480] / gw8 [5480] / gw9 [5480] / gw10 [5480] / gw11 [5480] / gw12 [5480] / gw13 [5480] / gw14 [5480] / gw15 [5480] / gw16 [5480] / gw17 [5480] / gw18 [5480] / gw19 [5480] / gw20 [5480] / gw21 [5480] / gw22 [5480] / gw23 [5480] / gw24 [5480] / gw25 [5480] / gw26 [5480] / gw27 [5480] / gw28 [5480] / gw29 [5480] / gw30 [5480] / gw31 [5480] / gw32 [5480] / gw33 [5480] / gw34 [5480] / gw35 [5480] / gw36 [5480] / gw37 [5480] / gw38 [5480] / gw39 [5480] / gw40 [5480] / gw41 [5480] / gw42 [5480] / gw43 [5480] / gw44 [5480] / gw45 [5480] / gw46 [5480] / gw47 [5480]

........................................................................ [  1%]
......................................................................... [  2%]
........................................................................ [  3%]
........................................................................ [  5%]
........................................................................ [  6%]
........................................................................ [  7%]
..........................x................s............................ [  9%]
..................................X.................X......X.XX......... [ 10%]
...........s..............X..X....X...................................X. [ 11%]
..x............X...X...............X.............X....................... [ 13%]
......X.X.XX.xx...XX.............................Xx...XXX.XXX..X..X..... [ 14%]
...X.......x...X.X..........x.x.x.............X.x...x.......x...x..Xx..X [ 15%]
.X...Xx....X....X..X.XX.....X....X.............x....X...........X....... [ 17%]
x.....x..X...Xx..........X....x.......x..x....X........x...x.....x...... [ 18%]
...........X......X.....x.........X......X.......X.......xx......X...... [ 19%]
.X.....X...............................X....x........................... [ 21%]
.......................�[2m�[36m(pid=5616)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5616)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m becomes:
�[2m�[36m(pid=5616)�[0m 
�[2m�[36m(pid=5616)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5616)�[0m 
............x..............................X....X [ 22%]
...........x..............................X..........x.................. [ 23%]
.................X.........X....................................X....... [ 25%]
..............�[2m�[36m(pid=6651)�[0m error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
�[2m�[36m(pid=6651)�[0m fatal: bad object HEAD
........................................X................. [ 26%]
....X......X.................................X.......X...X.............. [ 27%]
.............X....XX.................................................X.X [ 28%]
.....X..................X..........XX..........x...........X............ [ 30%]
X.....................................................................X. [ 31%]
....x......................X..X..........X......................X....... [ 32%]
......X................................................................. [ 34%]
......................................................................X.. [ 35%]
............................................X..X........x...........XX.. [ 36%]
.........X.....X....x.....................x.x..x....................x... [ 38%]
...x......X...........x.........x..........x.XX.........XX.X..........x. [ 39%]
...x.....XXX..XX.........X...X.X....x..........................x........ [ 40%]
.............X...XX.X..........X.....X..............x................... [ 42%]
.....x.....s..................x.x..............x........................ [ 43%]
...x.......................................x.................x.......... [ 44%]
....X..........................................X........................ [ 46%]
........................................................................ [ 47%]
..X..............sss..s.sss.ssss..ss.ssssss.....ssssssxx...ss........x�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated..x [ 48%]
......................................................s...�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
s......x..x..�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
. [ 49%]
..................................�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
...�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m .
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2).
�[2m�[36m(pid=5628)�[0m .
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
............�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.s
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
.�[2m�[36m(pid=6375)�[0m 

�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
.�[2m�[36m(pid=3329)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=3329)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m becomes:
�[2m�[36m(pid=3329)�[0m 
�[2m�[36m(pid=3329)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=3329)�[0m 
sss..s..ss....... [ 51%]
.......�[2m�[36m(pid=6375)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=6375)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=6375)�[0m .
�[2m�[36m(pid=6375)�[0m becomes:
�[2m�[36m(pid=6375)�[0m 
�[2m�[36m(pid=6375)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=6375)�[0m 
.........................�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
..................�[2m�[36m(pid=5628)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5628)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m becomes:
�[2m�[36m(pid=5628)�[0m 
�[2m�[36m(pid=5628)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5628)�[0m 
..................... [ 52%]
........................................................................ [ 53%]
.....................................X...............................X.. [ 55%]
..................X......X....x..........x.............................. [ 56%]
..........................................�[2m�[36m(pid=5620)�[0m FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
�[2m�[36m(pid=5620)�[0m The new arguments that you should use are 'offset' or 'origin'.
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m >>> df.resample(freq="3s", base=2)
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m becomes:
�[2m�[36m(pid=5620)�[0m 
�[2m�[36m(pid=5620)�[0m >>> df.resample(freq="3s", offset="2s")
�[2m�[36m(pid=5620)�[0m 
.............................. [ 57%]
......................................................................... [ 59%]
................s............................................x........... [ 60%]
.....x.................................................X..............X.. [ 61%]
.................X.X...............x................X........xxXXX.XX... [ 63%]
..x..................................................................... [ 64%]
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......................................ss................................ [ 68%]
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......................................s............................s.... [ 75%]
.................s........s......s...s..x...s...s................sx.xs.. [ 76%]
s................s.s.....x.....s..x.s.x.....sx...s..x.......x.........s. [ 77%]
..s......s.....x.....X.....................s...X.....X.........X....s.X. [ 78%]
....X....X.xX....sX....X..X.....XX......s..xXXXX......X..X..X.XX......x. [ 80%]
x....X..X.X..x...XX...X...X....XX.X.x.X..X......X....X.....X........X... [ 81%]
..x.X..........X....X.x............X.................................... [ 82%]
......X....x........................................x................... [ 84%]
X.............................X......................................... [ 85%]
X...................sx........x.X..........X...................X........ [ 86%]
.....x...................xx........X...x......xx.x..Xx..x............... [ 88%]
.....X......x..................x.............X.................X........ [ 89%]
X........................................X.............................. [ 90%]
........................................................................ [ 92%]
..................x.s...X.....x....xxx.X.x.xx......x...x.XXX..X.X....Xx. [ 93%]
.x..x.x..x..x.x..x.XXXXX.X....x.xx.xx.x.xXX.....x..x..X.x..x�[2m�[36m(pid=6208)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.x...xxx�[2m�[36m(pid=6328)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.xX. [ 94%]
XX.XX�[2m�[36m(pid=6074)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6074)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
X.xx�[2m�[36m(pid=6106)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...xxxx..x.�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
x.XX.X.x..�[2m�[36m(pid=5632)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5699)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5699)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...x....x�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
....�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...�[2m�[36m(pid=6893)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6893)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
........................�[2m�[36m(pid=5379)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.. [ 96%]
..�[2m�[36m(pid=1508)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.....x..............................�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5777)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
........�[2m�[36m(pid=1472)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1472)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
..�[2m�[36m(pid=5627)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=5627)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.�[2m�[36m(pid=1681)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.�[2m�[36m(pid=6106)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6992)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
............�[2m�[36m(pid=1045)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=1045)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
....�[2m�[36m(pid=6371)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6371)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
... [ 97%]
....�[2m�[36m(pid=3261)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...........�[2m�[36m(pid=5379)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
.....�[2m�[36m(pid=6059)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
�[2m�[36m(pid=6059)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
..............�[2m�[36m(pid=5966)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...............�[2m�[36m(pid=3449)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...........�[2m�[36m(pid=5637)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
............. [ 98%]
.....�[2m�[36m(pid=5637)�[0m FutureWarning: The `squeeze` parameter is deprecated and will be removed in a future version.
...................................X.X.x.x......................... [ 99%]
.                                                                        [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD
�[2m�[36m(pid=379)�[0m error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
�[2m�[36m(pid=379)�[0m fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 11307 warnings in 90.63s (0:01:30) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful

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Tests PASSed

Tests Logs 
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sx..................s..... [ 34%]
.............................................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


= 117 passed, 7 skipped, 1 xfailed, 1 xpassed, 104 warnings in 68.50s (0:01:08) =
Closing remaining open files:test_write_modin.hdf...donetest_write_pandas.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
gw0 [5480] / gw1 [5480] / gw2 [5480] / gw3 [5480] / gw4 [5480] / gw5 [5480] / gw6 [5480] / gw7 [5480] / gw8 [5480] / gw9 [5480] / gw10 [5480] / gw11 [5480] / gw12 [5480] / gw13 [5480] / gw14 [5480] / gw15 [5480] / gw16 [5480] / gw17 [5480] / gw18 [5480] / gw19 [5480] / gw20 [5480] / gw21 [5480] / gw22 [5480] / gw23 [5480] / gw24 [5480] / gw25 [5480] / gw26 [5480] / gw27 [5480] / gw28 [5480] / gw29 [5480] / gw30 [5480] / gw31 [5480] / gw32 [5480] / gw33 [5480] / gw34 [5480] / gw35 [5480] / gw36 [5480] / gw37 [5480] / gw38 [5480] / gw39 [5480] / gw40 [5480] / gw41 [5480] / gw42 [5480] / gw43 [5480] / gw44 [5480] / gw45 [5480] / gw46 [5480] / gw47 [5480]

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8000
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.x...................................................................... [ 97%]
........................................................................ [ 98%]
.........................................X.....x....................     [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 11287 warnings in 153.15s (0:02:33) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
collected 126 items

modin/pandas/test/test_io.py .................sx..................s..... [ 34%]
.............................................s..s.X.....s............... [ 91%]
...ss......                                                              [100%]

----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml


= 117 passed, 7 skipped, 1 xfailed, 1 xpassed, 104 warnings in 68.50s (0:01:08) =
Closing remaining open files:test_write_modin.hdf...donetest_write_pandas.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.1.1, py-1.9.0, pluggy-0.13.1
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /modin, configfile: setup.cfg
plugins: benchmark-3.2.3, cov-2.10.1, forked-1.2.0, xdist-2.1.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
gw0 [5480] / gw1 [5480] / gw2 [5480] / gw3 [5480] / gw4 [5480] / gw5 [5480] / gw6 [5480] / gw7 [5480] / gw8 [5480] / gw9 [5480] / gw10 [5480] / gw11 [5480] / gw12 [5480] / gw13 [5480] / gw14 [5480] / gw15 [5480] / gw16 [5480] / gw17 [5480] / gw18 [5480] / gw19 [5480] / gw20 [5480] / gw21 [5480] / gw22 [5480] / gw23 [5480] / gw24 [5480] / gw25 [5480] / gw26 [5480] / gw27 [5480] / gw28 [5480] / gw29 [5480] / gw30 [5480] / gw31 [5480] / gw32 [5480] / gw33 [5480] / gw34 [5480] / gw35 [5480] / gw36 [5480] / gw37 [5480] / gw38 [5480] / gw39 [5480] / gw40 [5480] / gw41 [5480] / gw42 [5480] / gw43 [5480] / gw44 [5480] / gw45 [5480] / gw46 [5480] / gw47 [5480]

........................................................................ [  1%]
........................................................................ [  2%]
........................................................................ [  3%]
........................................................................ [  5%]
......................................................................... [  6%]
........................................................................ [  7%]
..............................s........x................................ [  9%]
...X...........................................X...............X........ [ 10%]
....................X...x..............X.........X..X..X.....X......s... [ 11%]
......X........X.......X..........................X.......x...........X. [ 13%]
....XXX..........X...................X...........Xx.....x.X............. [ 14%]
.X.............X...........X.....x........X........X....x............... [ 15%]
...........X...X.XxX.....x........Xx....xX....x...X..Xxx............x... [ 17%]
..x......x............X..xX...........x................xx.X.....X.....X. [ 18%]
...X.....x...XX...X.X..X....XX...X.X.....X..X....X.....X.........x...X.. [ 19%]
x............x...X...x...........X.X.......x.....xX..X............x....x [ 21%]
..................X...X..x.......x.x..........................xx........ [ 22%]
.XX..........X....X..........x..X........X..X......X...X......X...x..... [ 23%]
X..................x..X.......................X.......................X. [ 24%]
..........X........X.XX...............................X................. [ 26%]
x..............X.............................................x......x... [ 27%]
................................................x....x.................. [ 28%]
........X.....X...........................x.......x..................X.. [ 30%]
................X.........X..................X....X....X.......X.......X [ 31%]
.....................................X..................................X [ 32%]
..........................X.................X...........................x. [ 34%]
................................X...................................x..X.. [ 35%]
................................x......x.......................X........ [ 36%]
..............x..............................x...............x........... [ 38%]
....................X......x.................X......X...XX......X.X....X [ 39%]
.X.......x...X..xx.........X.....................x.........x..........X. [ 40%]
............X..........x...........x.................................... [ 42%]
..x....x.............................x..x...............ss.sss.ss.xs.s.s [ 43%]
s..ssss.sX....x...x.X....X........XX......x..X..X....X.........X...XX... [ 44%]
...x......X....X.....XX.s.s.x..X.sssss...ssXsss.s.ss......X....X........ [ 46%]
.s..x.............x...s................................X......x......... [ 47%]
............x.............x................x..X......................... [ 48%]
.......................................x...x.................x..x....ss.. [ 50%]
.ss..s....................................X............................. [ 51%]
........................................................................ [ 52%]
......................................................................... [ 54%]
........................................................................ [ 55%]
.....................................X.......xX.....x....X.......X...x... [ 56%]
.....x......X........................................................... [ 57%]
........................................................................ [ 59%]
........................................................................ [ 60%]
........................................................................ [ 61%]
........x..X.s...........x........ssX....XX...........x...........x..... [ 63%]
.........X..........x..........x............x.......Xx.x........x.....xx [ 64%]
...X...X.XX..X.X.X...................X.x........xx.......x....xxX..X.X.. [ 65%]
.....x..............x...............................X................... [ 67%]
................................X........................................ [ 68%]
.............X......x...............x................................... [ 69%]
........................................................................ [ 71%]
........................................................................ [ 72%]
........................................................................ [ 73%]
........................................................................ [ 75%]
s............................s.............s................s.......s... [ 76%]
...........s.x.x.....s.s.........s................s..s..........s..s.... [ 77%]
..x...sx.s......x......s....x.....ss.....s.....x...sx..x.......s........ [ 79%]
....s........XX....s..X......x........s.X.X..X..X..X.X.XX.X...X.X.....x. [ 80%]
XX.X..x...X.XX........X..X.X..XX...X..X..XX........XxX.X.....xX..X...... [ 81%]
.X.X...X.x........x....X.XXX..X.................x...X...........x.X.X... [ 82%]
x......X.........X.....................................................X [ 84%]
.....................X........................................x......... [ 85%]
..................X...........x......................................... [ 86%]
...............s......................x....x...x...........x.......X.xx. [ 88%]
....x.......xx.x..X......xX......................................x...... [ 89%]
........................................................................ [ 90%]
..........X......s......X.....................................X......... [ 92%]
.................X.....................................X.........X.X.X.x [ 93%]
x.........xx...x....x.....................x.......x.............x....... [ 94%]
......................x.......x.....................x.x........x......... [ 96%]
.x...................................................................... [ 97%]
........................................................................ [ 98%]
.........................................X.....x....................     [100%]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates.
fatal: bad object HEAD


----------- coverage: platform linux, python 3.8.6-final-0 -----------
Coverage XML written to file coverage.xml

= 5036 passed, 69 skipped, 155 xfailed, 220 xpassed, 11287 warnings in 153.15s (0:02:33) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
Tests are successful

devin-petersohn
devin-petersohn approved these changes Oct 19, 2020
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Thanks @YarShev, LGTM!

@devin-petersohn devin-petersohn merged commit 7cf26b2 into modin-project:master Oct 19, 2020
@YarShev YarShev deleted the dev/yigoshev-issue1988 branch October 28, 2020 06:25
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Multiindex in modin give "slice unhashable error"
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@YarShev @modin-bot @devin-petersohn
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