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FIX-#3764: Ensure df.loc with a scalar out of bounds appends to df
In pandas, df.loc[df.index + 1] = df.loc[index] copies the last row and increases the df's len by 1. When doing the same operation in Modin, we get an error since we're trying to index out of bounds.
Signed-off-by: Rehan Durrani [email protected]
What do these changes do?
- [x] commit message follows format outlined here
- [x] passes
flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py - [x] passes
black --check modin/ asv_bench/benchmarks scripts/doc_checker.py - [x] signed commit with
git commit -s - [x] Resolves #3764
- [x] tests added and passing
- [x] module layout described at
docs/developer/architecture.rstis up-to-date
Codecov Report
Merging #3765 (d2d8bd2) into master (2d21561) will increase coverage by
4.68%. The diff coverage is82.75%.
@@ Coverage Diff @@
## master #3765 +/- ##
==========================================
+ Coverage 84.98% 89.67% +4.68%
==========================================
Files 253 257 +4
Lines 19124 19674 +550
==========================================
+ Hits 16253 17642 +1389
+ Misses 2871 2032 -839
| Impacted Files | Coverage Δ | |
|---|---|---|
| modin/pandas/indexing.py | 93.45% <82.45%> (+2.02%) |
:arrow_up: |
| ...dataframe/pandas/partitioning/partition_manager.py | 89.31% <100.00%> (+2.53%) |
:arrow_up: |
| modin/_compat/pandas_api/latest/general.py | 78.94% <0.00%> (-21.06%) |
:arrow_down: |
| modin/_compat/pandas_api/latest/io.py | 93.04% <0.00%> (-4.08%) |
:arrow_down: |
| modin/_compat/pandas_api/latest/dataframe.py | 94.11% <0.00%> (-3.39%) |
:arrow_down: |
| modin/core/io/io.py | 96.13% <0.00%> (-2.21%) |
:arrow_down: |
| ...core/execution/dispatching/factories/dispatcher.py | 92.20% <0.00%> (-1.30%) |
:arrow_down: |
| modin/logging/config.py | 94.59% <0.00%> (-1.30%) |
:arrow_down: |
| .../core/execution/dispatching/factories/factories.py | 87.09% <0.00%> (-0.81%) |
:arrow_down: |
| modin/_compat/pandas_api/latest/base.py | 92.70% <0.00%> (-0.32%) |
:arrow_down: |
| ... and 66 more |
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TeamCity Python test results bot
Tests FAILed
Tests Logs
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---------- coverage: platform linux, python 3.8.12-final-0 -----------
Coverage XML written to file coverage.xml
= 1651 passed, 339 skipped, 27 xfailed, 1 xpassed, 1948 warnings in 124.60s (0:02:04) =
============================= test session starts ==============================
platform linux -- Python 3.8.12, pytest-6.2.5, py-1.11.0, pluggy-1.0.0
benchmark: 3.4.1 (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-3.4.1, cov-2.11.0, forked-1.3.0, xdist-2.5.0
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
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ssssssssss.ssssssss.ss.sss.s.ss.sssssssssssssss.sss.sssss.sssssssssss.s. [ 24%]
ss.s.sssssssssssss.s.sss.sssss.ssssssssssss.ssssssssssssss.sss.ssssssssss [ 24%]
.s.ssssssssssss.ss.sss..ssssssssssssssssssss.s.sssssss.ss.s.ssss.s.sss.ssssssssss [ 24%]
ssssssssss.ssssssssssssss..ssss.s.ssssssssssss.ssss.sss.s.sss.ssssssssss [ 24%]
s.s.s.sssss.s.ssss.ssssssss..sssssssssss.sss..s.sssssssssssssss.sssssss. [ 24%]
sssssss.s.ssssss.s.s.ss.sssss.ssss.s.sss.ssssssssssssss.s.sss.sss..ssssssss.sss [ 24%]
.sssssssssssssssss.ss.ssssssssssssssssssss.sss.sss.ssss..sssssssss.sssss [ 25%]
.sssss..s.sssssssssssssssssssssssssssssssssss..sssss..sssssssssssssss.ssss [ 25%]
.ss.ssssssssssss.s.ssssss.ssss.ss.ssssssss.ssssssssssssssssssss.s.ssssss [ 25%]
sssssssssssssssssssssss.ssssss.ssssss.s.sss..sss.sssss.s.sssssssssssssssss. [ 25%]
sss.sssssss.sssss.ssssssssssssssssssssss.ssssssss.ssssssssss.sssssssss.ss [ 25%]
.sssssssssssssssss.ssss.sssssss.s.ssssssssssssssssssssss.ssssssssssssss. [ 25%]
sssssssssssssssssssss.ssssssssssssssssssss.sssssss.ssss..ssssssssssssss.s [ 25%]
sssssssssssssssssssssssssssssssssssssss.ssssssssssssssss.sssssssssssssss [ 26%]
ssss.sssssssssssssss.sssssssssssssss.ssss.ssss.ss.ssssssssssssssssssssssssssss [ 26%]
ssssssssssssss.sssssssssssssssssss.s.sssssss.sssss.ss.ssss.sssssssssssss [ 26%]
sssss.ssss.sssssssssss.s.sssssssssssssssssssssssssssssssssssssssss.sssss [ 26%]
ssss.sss..ssssssssssssssssss.sssssssssss.sssssssssssssssssssssssssssss.s [ 26%]
s.sssssssssssssssssss.ssssssssssssssssssss.sss.sssssss.ss.ssssssssss.sssss [ 26%]
sssssssssssssssssss.sssss.sssssssssssssssssss.ssssssss.sssss.sssss.sssssss [ 27%]
sss.ss.sssssssssssssss.ssss.sssssssss.sssssssssss.s.ss.sssssssssssssssss [ 27%]
.sssssssssssssssssss.ssssssssss.ss.ssssss.ssssssssssssssssssssssssssss.s. [ 27%]
sssssssss.ssssssssssss.ssssss.ssss.ssssssssss.sssssssssssssss.ssssssssss [ 27%]
ssssssss.ss.ssssssssssssssssssss.sssssssss..sssssssssssssssss.sssss.ssss. [ 27%]
ssssssssssssssssssss...ssssssssssss.ssssssssssss.sss.sssssssssssssss.sssss [ 27%]
sssssssssssssssssss.s.ssssssssssssssssss.sssssssss.ssssssssssssssssss..s [ 27%]
ssssssssssssssssss.ssss.ssssssssssssss.ssssssssssss.sssssssssssssss.ssss [ 28%]
sssssssssssssssss.s.ssssssssssssss.ss.ssssssss.sssssssssssssssssss.sssssss [ 28%]
.ssssss..s.ssssssssss.ssssssss.sss.ssssssssssss.sssssss.s.ssssss.ssssss.. [ 28%]
.sssssss.sssssssssssss.ss.sssssssss.sss.sssssssssssss..s.ssssssssss.ssss [ 28%]
sss.ssssssssssss.s.ssssssssssss.s.ssssssssssss.sssssss.ssssssssssss.ssss.ss [ 28%]
ssssssss.s.ssssssssssssssss.ss.ssssssssss.sssssssssssss.sssssssssssss.ss [ 28%]
ssssssssssssssssssssssss.ssssss.ssssssssssssssssssssssssssssssssssssssss [ 28%]
sss.ss.ssssssssssssssssssssssssss.ssssssssssss.sssssssssss.sssssssssssss. [ 29%]
ssssssss.sssssssssssssssssssssssss.ssssss.ssssssssssssssss.sssssssssssss [ 29%]
ssssssssss.s.ssssssssssssssssssssssss.sssssssssssssss.ssssssssssssssssss [ 29%]
ssssssssssssssssssss.sssssssssssssssssssssssssssss.sssssssssss.sssss.s.sss [ 29%]
ssss.sssssssssss.ss.ssss.sssssss.sssss..ssssssssssss.ssssssss.s.ssss.ssss [ 29%]
ssss.ssss.sss.sssssssss.sss.ssss.ssssss.sssssss.ss..ssss.sssssss.sss.s.ssssss [ 29%]
sss.s.ssssssss.ssss.sssssssss.ssssss.sssss.ssss.ssssssssssss.sssssssss.s [ 29%]
ssssss.ss.ssss.ssssss.s.sss..ssssssssssss.ssssssss.ss.sssss.ssssssss.ssss [ 30%]
sssssssssss.s.sssssss..sssssssssssssss.ssss.sssssssss.sssssssss.sssss..ss.ss [ 30%]
ssssssssss.sss..sssssssss.ssssssssssssssssss..ssssssssss.ssssss.sssssssss [ 30%]
s.ssssssssssssss.ssssssssssssss.sssssssssssssss..sssss.ssssssssss.ssssss [ 30%]
sssssssssss.sssssssssssss.sssssssssssssssss.sssssssssss.sss.ssssssssssss [ 30%]
ssssssssssssssssss.sssssssssssss.sss.sssssss.sssss.ssssssssssssssss.sssss [ 30%]
ssssssssssss.ssssssssssssss.sssss.sssssssssssssss.ssssssssssssssssssssss. [ 31%]
sssssssssss.sssssss.sssssssss.ssssssssssssssssssssssss.sssssssssssssss.s [ 31%]
sssssssssssssss.ssssssssssss.ssssssss.ssssssssssssssssssssss.sssssssssssss [ 31%]
sssssssssss.sssssssssssssssssssssssssss.sssssssss.sssssssssssssssssssssss [ 31%]
ss.ssssssssssss.sssssssssssssssss.sssssssss.sssssssssssssssssss.s.sssssss [ 31%]
.sssssssssssssssssssssss.sss.ssssss.sssssssssssssssssssss.sss.sssssss.ss [ 31%]
s.ssssssss.sssssss.sssssssssssssss.ssssss.s.ssssssssssssssssssss.ssssssss [ 31%]
sss.ssssssssssssssssssssssssssss.sss.sssssssssssssssss.ssssssssssssssssss [ 32%]
ssssss.sssssssssssssssssssssssssssssssss.sssssssssssssssss.sssssssssssssss [ 32%]
sssss.ssssss.s.sssssss.sssssss.sssss.sssssssss.sssssssssssssssssssssssss [ 32%]
ssssssssssssssss.sss.ss.ssssssssssssssssss.ssssssssssssssssss.ssssssssss [ 32%]
ssssssssssssssssssssssssssssssss.sssssssssss.ssssssssssssssssssssss.ssss [ 32%]
ssssssssssssssssssssssssssss.sssss.sssssssssssss.sssssssssssssssssssssss. [ 32%]
s.sssssssssssssssss.s.sssssssssssss.sssssssssss.sssssssssssssssssssssssss [ 32%]
ss.sssssssss.ssssss..s.ssssssssssssssssssssssssss.sssssssssssssssss.ss.ss [ 33%]
ss..ssssssssssssssssssssss..ssssssssssssssssssssssssss.sssssssssssssssss [ 33%]
sssssss.sssssssssssssssssssssssss.ssssssssssssssssssssssssss.sssssssssss [ 33%]
ssssssssssss.ssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssss [ 33%]
sssssssssss..sssssssssssssssssssssss..ssssssssssssssssssss..ssssssssssssss [ 33%]
sssssss.s.ssssssssssssssssssss.ss.sssssssssssssssssss.ssssssssssssssssss.sss [ 33%]
sssssssssssssssssssssssssss.ssssssssssssssss..sssssssssssssssss.sss.ssss [ 33%]
ssssssssssssssssssss.ssssss.ssssssssssssssss.ssssssssssssssssssssssssssss [ 34%]
ssssssssssssssssssss.sssssssssss.sssssssssssssss.sssssssssssssssssss.sss [ 34%]
ssssssss.sssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssss. [ 34%]
sssssssssssss.ssssssssssssssssssssssssss.ssssssssssssssssss.sssssssssssss [ 34%]
ssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssss.sssssssss [ 34%]
sssssssssssssssss.ssssssssssssssssssss.ssssssssssssssssssssssssssssssssss [ 34%]
ssssssssssssssssss.ssssssssssssssssssssssssssss.sssssssssssssssssssssssss [ 35%]
ss.ssssssssssssssssssssssssss.s.ssssssssssssssssssssssssssssssssssssssss [ 35%]
ss.ssssssssssssssssssssssss.ssssssssssssssssssssssssssssssss.sssssssssss [ 35%]
ssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssss [ 35%]
s.s.ssssssssssssssssss.sssssssssssssssssssssssssssss.sssssssssssssssssss [ 35%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 35%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 35%]
ssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssss. [ 36%]
ssssssssssssssssssssssss.sssssssssssssssssssssssssss.sssssssssssssssssssss [ 36%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss [ 36%]
sssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssss [ 36%]
ssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssss [ 36%]
sssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 36%]
sssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 36%]
ss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
sssssssss.ssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssss [ 37%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssss [ 38%]
ssssssss.sssss.ssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 40%]
sssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssss.sssssss [ 40%]
ssssssssssssssss.sssssssssssssssssssssss.sssssssssssssssssssssssssssssss [ 40%]
sssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssss [ 40%]
sssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssss [ 40%]
ssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 40%]
.sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 40%]
sssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssss [ 41%]
sss.ssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssss [ 41%]
ssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssss [ 41%]
sssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssss.sss [ 41%]
ssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssss [ 41%]
ssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssss [ 41%]
ssssssssssssssssssssssssssssssss.sssssss.sssssssssssssssssssssssssssssss [ 41%]
ssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssss.ssssssssssss [ 42%]
ssssssssssssss.sssssssssssssssss.ssssssssssssssssssssssssssssss.ss.sssss [ 42%]
sssssss.sss..s.ss.sssss..ssssssssssssssssssssssssssssssssssssssssss.ssss [ 42%]
sssss..sssssssssssssssss.ssss.ssssssssssssssssssssssssssss.sssssssssssss [ 42%]
ssssssssssssssssssssssssssssssssssssss.sssssssssssssss.sssssssssssssssss [ 42%]
sssssssssssssssssssss.sssssssssssssssssssssssssssss..ssssssssssssssss.ss [ 42%]
sssss.sssssssssssssssssssssssss.sssssssssssssssssssss.ssssssssssssssssss [ 42%]
ss.sssssss..sssssss.s.s.sssssssssssss.s.ssssssssssssss.sssssssssssssssss [ 43%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssss..ssssssssssssssss [ 43%]
sssssssssssssssss..ssssssssssssssssssssssssssssssssss.sssssssssss..ssss. [ 43%]
ssssss.ssssss.sssssssssssssssssssssssssssssssssssssssssssssss.sssssssssss. [ 43%]
ssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssss.sss [ 43%]
ssssssssssssssssssssssssss.sssss..sss.ssss.sss.s.sss.sssssss.xsssssxss.s [ 43%]
s.xssss..ssssxsssssxsssssssxssssssssssssssssssssssxssssssssssssssssssssss [ 43%]
ssssssssssssssssssssssssssssssssssxxssssss.ssssx.xxssssssssssxxsssss..ss [ 44%]
ssssss.sssssss...sssssxsssssssssssssssxsssssssssssssssssssssssssssssssss [ 44%]
xssss.ss.ssssssssssssssss.sssssssssssssssssssxssssssssssssssssssssssssss [ 44%]
ssssssssss.ssssssssssssssssxssssssssxsssssssssxsssssssssssssssssssssssss [ 44%]
ssssssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssssxs [ 44%]
sssssssssssssssssssssssssssssssssssxsssssssssssssssxxsssssssssssssssssss [ 44%]
sssssssssssssssssssssssssssssxssssssssssssssssssxssssssssssssssxssssssss [ 44%]
ssssssssssssssssssssssssssssssxxxxssssssssssssssssssssssssssssssxsssssss [ 45%]
ssssssssssssssssssssssssssssssssssssssssssssxxsssxsssssssssxssssssssssss [ 45%]
sssssssssssssssssssssssssssssssssssssssssssssssssssxssxsssssssssssssssss [ 45%]
ssssxxssssssssxssssssssssssssssssssssssssssssssssssssssssxssssssxssssssxsss [ 45%]
xsssssssss.ssssssssssss..sssssssssxss.sssssssssssssss.ssssssssssssssssss [ 45%]
s.sssxssssss.s.ss.ssssssssssssssssssssssssssssssssssssssxsssssssxs.ssssxsx [ 45%]
sssssssssssssssssssssssssssssssssssssssxsssxssssssssssxsxxsssssssssssssss [ 46%]
sssssssssssssssssssssssssssssxxxxxxxxxssssssssssssssssxxxssssssxssssssss [ 46%]
sssxsssssssssssssssssssssssxssssssssssssssxsssssssssssssssssssssssssssssx [ 46%]
sssssssssssxsssssssssssssxsssssssssssssssssssssssssssssssssssssxssssssss [ 46%]
ssssss.sssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssss [ 46%]
sssssssssssssssssssssssssssssssssssssxssssssss.sssssss.ssssssssssss.ssss [ 46%]
sssssssssssxssssssxssssssssssssssssssssssssssssss.sssssssssss.ssssss.ssx [ 46%]
sssssssxsssssssssxsssxsss.sssss.sssssss..ssssss.sssssssssssssxssssssssss [ 47%]
xssssxxsssxssssssssssssssssssssssssssssxsssssssssssssssssssssssxssxxsssx [ 47%]
sssssxssssssssssssssssssssssxssssssssssssxsssssssssssssssssssssxsssssssx [ 47%]
sssssssssssxsssssxsssssssssssssssssssssssssssxssssssssssxxsssssssxssssss [ 47%]
sssssssssssssssssssssxssssssssssxsssss.sssssxsssssssssssssssxssssssssssss [ 47%]
ssssssssssssxsssss..ssssssssx.x.ssssxxsssssss.ssssssxsssssxs.sxxsssssss. [ 47%]
x..sssssssx.xxssss..xx...xsxxx.s.xxsxsssssxssssssssssxssxsssssssssssssss [ 47%]
sssssssssxsssssssxxxxssssxssssssssssssssssssssssxsssssssssssssssxsssssss [ 48%]
ssssssssssssssxssssxsssssssssssssssssssxsssssssssssxsssssssssssxssssssxs [ 48%]
ssssssssssssxsssssssssssxxssssssssssxxssssxsssssssssssssssssssssssssssss [ 48%]
ssssssssssssssxssssssssssxssssssssssxssssssssxsssssxsssssssssssxssssssss [ 48%]
ssssssssssssssssssssssssssssssxsssssssssssssssssssssxsssssssssssssssssss [ 48%]
ssssssssssssssssssxssssssssssssssssssssxssssssssssssssssssssssxxxssssxss [ 48%]
sssssssssssssssssssssxsssss.ssssssssxsssssssssssxssssss..sssssssssssssss [ 48%]
sssssssssssssxsssssssssssssxsssssssssssssssssssss..ss.xxxssssxsssssss.ss [ 49%]
sssssss.ssssssssssssssssssssssssx..sssxssx.s.ssxssssssssssssssssssssssss [ 49%]
ssss..sssssss.sxsxssssxxssxssssssssssssssssssssssssxsxss.ssssssssxssssssssss [ 49%]
xsssssxxsxsssssssssssssxssxsxssssss.sssssssss.ssxssssssssssssssssss.sxxss [ 49%]
ssssxxssxs.ssxsxsssssssssssssssssssssxsssssssssssxssssssssssssssssxsxxsxs [ 49%]
sssxxsssssssssssxsssssssssssxsssssssxssssssssssxsssssssxssssssssssssssss [ 49%]
sssssxxsssssxssssssssssxxsssssssssssxsssssxsssssssssssssssssssssxssxssss [ 49%]
.ssssssssss.sssssssssxsssxxssssssssssssxss.xsssss.ssssssssssssss.xsssss. [ 50%]
sssssssssssssss.ssssssssxssssssssssssssssxssss.xsssssxsssssssssssxsssssssss [ 50%]
sxxsssssssssssssxssxsssssssssssssssssxsssssssssssssssss.sssxsssxsss.sssx [ 50%]
ssssxsss.ssssssssx.sssxsssssssss.sssssssssssssxsssssxsx.sssss.xssssssxss [ 50%]
ssss.ssssxssssssssssssssssssxssss.sss.sssssxsssssssssxxsxsssssssssssssss [ 50%]
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ssxssxsssssxssssssssxssssssssxsssxssssssssssssssssssxsssssssssxsssssxssss [ 50%]
sssssxsssssssssssssssssssssssssssssssxsxsxssssssssssssssssssssssss.sxsss [ 51%]
ssssssssssssssssxssssssssssssssssssssssssssssssssss.sss.xxxssss...x..sss [ 51%]
sssssssssssssssss.ssxxxsssssssxss.ssssssssssssssssssssssssssssssssssssss [ 51%]
sssssssssssssssxxssssssssxxsssssxsssssssssssssssssssssssx..sssssxssssx.s [ 51%]
sxx.sssssssssssssssssssssxxxsssssssssssssssssxxxxssxxsssssssssssssssssss [ 51%]
sxsssssssssssssssssssssssssxs.xsss.sssssxxssss.xxss.xsssssssssssss.xs..s [ 51%]
ssssss..xs...xx.xxxxssssxssssssssssxssxsssssssssxsssssssssssssssssssssss [ 52%]
sssssssssssxxxssssssss.xxxs.sssssxxssssxxss...xxxssssssxs.sxsssxssssssss [ 52%]
xssxxsss.sss.xssssxsxxx.ssssssxxxssssss..sssssssxssssssxssssssssxssssssssssss [ 52%]
sxxsssssssxxssxssssssssssxsssssssxsxssssssxssssssssssssssssxssssssssssss [ 52%]
ssssssxxssxssssssssssxssxssssssssxxssssssxsssssssssxssssssssssssssssssss [ 52%]
sssssssssssssssxsssxxssxxssssxsssssxssss.ssssssssssssssssssssssss.sss.s. [ 52%]
ssxsss.ssss.sssssssssss.s.sss.ssxxsxsssssxxs.sxsssssssxssxsxsxsxssssssxs [ 52%]
sxsxssssssssxssxxsssssssssxssxxssssxxsxxsxssxssxxsssssssssssssssxsssssss [ 53%]
sssssssssssssssssssxsssssssss..sx.s.ss.sssssssss.ss..sssssssxs...ss.sxsssxss [ 53%]
sxsxsxsssssssxsxsxxssssxxssxsxsxxssssssxxxsssssssxsssxxssssxxssxssxsssss [ 53%]
ssxssssssssssssssssxsssss.s.sssssssss..ssxsssss.xsssssssssss.ssssx.xssxs [ 53%]
ssssssssssssss.sssssssssssssxssssssxss.xxsxsssssssssssssssxx.xx.xxx.xxxxx [ 53%]
xxssxxssxxssssxxxssssssssssss.ssss.sssssssxxss.xssssssxsssssssssssssssss [ 53%]
ssssx.s.ssss.sssxxsxss.sssssxxsxsssxssssxxssxsssxsxsssxssssxxxxxssxsssssssxxs [ 53%]
sxsssssssssssssssxsssssssssssssss...sssssssss...s..ssssssss.x.xxss.sssxsx [ 54%]
xxxsss.sssxsxxxxssxsssxsxxxsxsxssssxxsssxssssxxsxssxsssxxsssssssssssssss [ 54%]
sssssssxsssssssss..ssssssssssssssssxsssssssxssssssssssxss.ss.ssssssssssss [ 54%]
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ssss.sxxxxsssssxsssxssssssssxxssssxss.ssxsssssxxsssssxssssxsssxxssssssssss [ 54%]
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xxssss.ssssxssxssxsssssxxsssssssssssx.sxsssxssxsssssxssssssxxssssssssssxsss [ 54%]
sssssssss.ssxsssssxss.xssssssssxssssxssssxsssssssssss.ssssssssssss.sssssss [ 55%]
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ssssxssssssssxsssss.sssxsxssssssssssssssssssssxsssssssssssxsssssssssssxs [ 55%]
sxs.ssssssssssssssssxsssssssssssxssssssssssxssssxxsssxs.sssssssssssssssss [ 55%]
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sssssssssx.sssssssss.ssssssssss.ssss.xssss.xssxx.xxxxss.x.sssssssssssssx [ 55%]
sssssssssssssssssssssssssssssssssxssssxsssssssss.ssssssxssssxss.ssssssss. [ 56%]
xssssssssssssssss.ssssxssssss.xssssssssssssssssssssssssssssssssssxx.xsss [ 56%]
sssxxssssssxxssssxsssssssxxssssssxxxssssssssssssssxsssssssssx.ssssssssss [ 56%]
xssxsssssssssssss.ssssxsssssxxxxsssssssssssssssssssssss.ssss.sxsssssxsss [ 56%]
xxxssssxsssxxxxsssss.ssxssxsssssxxsssss.ssssxxsssx.ssssssssssssssxx.ss.s [ 56%]
sss.sss.xxsssxxsss.xsxsssxsxsssxxssssxssss.x.sssxxsssxssxsx.xxsssxsssssxsxss.x [ 56%]
xssssssxssssssssxssssxssssssssssxssssssxsssssssx.ssssssssxxssxssssss.sss [ 57%]
xsssssssssssssssssssssssssxxsx.sssssssssssssss.sssxxsxsssxxxsss.sssxsxss [ 57%]
xsssssssssssssssxxxsss.sssssssssssssssssxssssxsx.xssxxxxxxssssssssxxsxsssx [ 57%]
sssxssssssssssxsssssssssssxsxsss...sssssxssss.ssssss.ssxsxssssssssxssx.s [ 57%]
ssxssssxss.xsssssssssxssxxssssssssssxxssss.sssssxxssssxsss.sssxxsxssssxs [ 57%]
s.sxssssssssssxsssxssssssssssxss.sssssss.xs.sssssssssxssxsxssssssss.sxxs [ 57%]
ssssssssssssssx..xsssssssssssssssssssxssssss..ssxssssssxx.ssssxssssssssss [ 57%]
sssssssssssssxsss..ssssssssxsxsxsssssxssxsxssssxsssxsssxssxsssssxsssssssssx [ 58%]
sxsxsssssssssssssssxsxssssssxsssssxssssxsssssssssssssxssssxssssxssssssssssss [ 58%]
ssssss.ssssxsssssssxsssssxs.ssssssssssss.sssssssssssxssssxsssssssxssxxss [ 58%]
sssss.sssxssssssssssssssxsxssssssssxxssssssssssssxssssssxsssssssssxsssss [ 58%]
sssssxsxsss.sssssssssssssssssxs.ssssssxsss.s.ssssssssx.ssss.sssssss.sxxsss [ 58%]
ssssxssxxsxss.xssxssxxsssss.xsssxsxsssssxsssxsssxsxs.sss.sssxsssxxxsssss [ 58%]
sssssssssss..sssssssssssxxss.ss.ssssssssssssssssssssssssx.xxsx.xx.ssssxx [ 58%]
xssssxxxxxssssxxxssssssxssssssxxxssxsxssssxssssssxssss.xssssssssssxssx.x [ 59%]
sssss.sssssssss.sssssssssxxsssssss.sssxsxsssss.xsssssxsssssxssssssxsxsss [ 59%]
xsssssssssssxxssssssssssssssssssssxss.ssssxssssssssss.ssxssssssssxsssss.ss.ss [ 59%]
ssssssxsssss.ssssssxssssxxsssss.sxssssxsssssxsxssxssxsxssssxxssssxsssxssss [ 59%]
xxsxssssssxsssssssxsssssxs.ssssssssssssssxs.ssssxsssssssssssssssssssss.ssss [ 59%]
x.s.ss.ssssssxssssssssssssxssssssssssssxsss.x.sssssssssxxxsssssssxssssxs [ 59%]
ssssssxsxssssxsxsxssssssxssssss.sssssssxssssssssssssss.xsss.ssxssssssxss [ 59%]
ssssssss.sssssssssssssssssss.ssss.ssss.sssssssxsssssxssssxsssssssssssssssx [ 60%]
sssssxss.ssssssssssssssssssxsssssxssssssssssssssxssssxsxsssssxsssssssssss [ 60%]
ssssssssssxsssssssssssssssssxxxxsssssssssssssssxxssssssxssssssssssssssss [ 60%]
sxxssxxxs.s.xsss.xxxsssxsxxxx..ss.xssssssxsss.xxxsssssss.xsxss..ss.sssss. [ 60%]
xxssx.xssssssssss...xsssssxssxxsssss.sssssxxxsxxxxssss.sxxxsxsxs.sxssxxx [ 60%]
sssss.sssxxxssss.ssxsxxxs.ssx.sxssxxsssss.sssxssssxsssssssss.ssssx.ss.x.s [ 60%]
ssxsxsssss.sssxs.sss.xsssxssxsssxsxxsssxssxsxxsssxxsssxsxssxssxssssssxxs [ 61%]
xssssxsxsxssxsxsssssssxssxsssssxsssssssssssxsssssssssxssxsss..ssxssssxss [ 61%]
ssxsxsss.ssssssssxssssssxsssssssss.ssssxsssss.sssssssssxssxssxsssxsssxss [ 61%]
xsxssxssxssssssssss.sxxssssssssss.xssxssxss.ssxssssxssssxssssssssssssxssx [ 61%]
sssssss.ss.sxsssss..ssssxsxsssssssss.ssxs.sssxxx..xxxxx.x.xxxx.xx.xxsxss [ 61%]
sss..xssssxx.xxxx..xxxxssssxx.xsxxxxssssssssxssssssssssssssssssssxxsssss [ 61%]
sssssssssssssssssxsssssssssssssssssxxsssssssxssssxsssssssssssssssxssssss [ 61%]
ssssxssssssssssss.sssssssssssssssssssxssssssxxsssssxxxsssssss.xsssssxsss [ 62%]
ssssssssssssssssssssssxxsssssssssssssssssxssssssssssssssssssssssssssssss [ 62%]
ssssxsss.sssssssssssssssssxxss.xssssx..sssssxsssssss..xxs.ssssssssxxssss [ 62%]
xssssssssssxssssssssssssssssss.xsssssxxsssssxxxsssssssssssxssssssssssxss [ 62%]
sssssssssssssssssxsssssssssssssssssssssssxxssssss.sssssxxxsssssssss.ssss [ 62%]
ssssssssssssssxsssssssssssssxssss.sssss.sssssss.sssssssssssxxxsssssssss. [ 62%]
ssssssssssssxsssssssssssss.xxxssssssssssxxssssxsssssssssssssxx.xssssssss [ 62%]
x.xxsssss.xssssssxssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 63%]
sssssssssssssssssxss.sssssssssssssssssssssssssssssssssssssssssssssssssss [ 63%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 63%]
sssssssssssssssssssssssssssssssssssssssxssssssssssssxs..xxxxsssssxssssx. [ 63%]
xx.xssxx.xx.ssxxsx.xxxsxsxsssxssxssxsssssxsssxssxssxx..xsxxs.xsx.ssxssss.ss [ 63%]
sssss.sxsxssssssssssssssssssssssssssxss.xsssxsssx.ssssxssxssssss.sxssssxs [ 63%]
ssssxssxxsssxsssssssssxsssssssssxssxxx.xxsssssss.ssssxsss.ssssssssssssss [ 63%]
ssssss.ssxx.xsxsx.xsssssssss.xssssssssssssssxxssssxssssxxsxss..xsssxsssx. [ 64%]
s.ssxsxsxsssssssssssssssxxxsssxsxxsssxxsss..sxxxsssxxs.sss.xxxssxssxxsx. [ 64%]
xxssssxxxsssx.sxsssssxssxxxsssss.sssssxxsxxsssss.s.sxsxsxs.ssxssssxx..ss [ 64%]
ssxsss.sx.ssssxsssxssssssss.xxsssxsssss.s.sssxxssssssssssxss.sssssssssssss [ 64%]
xsssx.xssssxsssxxssssssssssxsssssssssssssssssssssssx.x.sssssssssssssssxs [ 64%]
sssxsssssssssxssss.sssxsssssxssxsxssssssssxssssssssssxxxsssssssssssxsxsss [ 64%]
ssssssxssssssxxsssxsssxssssssssssssssssssssssssssssxxx..xxs..xsssssssxss [ 64%]
ssssssxsssssssssxxxsssssssssssssxssssxssssssssssssssssssssssssssssxxsxss [ 65%]
ssssssxxssssssssssssxssxssss.xssssxssssssssssssssssxssssssssssssssssssss [ 65%]
ssssssssssss.xsss..ssssssssss.ssssssssssssssssssssssssssssssssssssssx.x. [ 65%]
.xxxxsssssssxsssxxs.ssssxxxxssxsxsss.sssxsxxxssxx.xxssss..sxxsxs.ssxxxsx [ 65%]
ssxsxssx.sxxsx.sxssss.x.xsssssxsxsxss.sxsss.sss.sxssssssssssssssssssssss [ 65%]
ssssssssssss.xxx.xxxssssxxssssssssx.ssssssssssssssxxxxxxxssxsxsxxxssssss [ 65%]
xxxssxsssxsss.sss.xsssssssssssssx.xsssssssssssssssss...sxxxsssssxxx..xss [ 65%]
sssssssssssssssss.ss.xxxssssssxxsssxxxx.ssssssssssxxsss..xxsssssssssssss [ 66%]
sxxxsssxxsxxxssssxssssxxxssx..xxxxsssxxxxssssss.sssss..xxx.xsssxssxxssss [ 66%]
ssxxxssssss..sssssssxxssssssssss.ssssssssssssssx..xxxxxsxsssxsssxssxxxsssss [ 66%]
sxssssxsssxxxsssssssxxssxssssssxsssss.ssxssss.sssssssxsssssx.ssss.ssxsss [ 66%]
sss.ssxsssxxsxsssssss..ssssxsssssxsssxssxs.xxsssssssxssssssssxsssssxss.. [ 66%]
ssxssxsssssxssss.sssxxssss.ssxsxssssssssxssssssxs.sssssssxssssss.ssxsss.s [ 66%]
sxsssssxs..xsxsssxsssxsssssxsxsxssssssssxssssssxssssssssxsss.sxsssxssssxs [ 67%]
ssxssssxs.sxssssssx.sss.ssxxsssssssxssssssssxssssssxsssssssxsssxsxsssssxs [ 67%]
sxssss.ssxsssssssxsssssssxs.sssssssssxsssxssssxsxsxsssxsssss.ssssxssssss [ 67%]
sss.ssssxssssxssssssssx.ssss.sssssssxsss..sssssssxsssxssxsxsssssxssssssxs [ 67%]
sxsssxsssssssssssssssssssssssssss.ssssx.sssssssx.ssssxsss.xsssxsxsssxsssss [ 67%]
xsssssxsssssssxxsssssssxxsssxsssxssx.ss.ssssxsxsss.s.sxssssxssxsxsxxsssxs [ 67%]
sxssxsxsssssxsxsssxsssssss.xsssxsssss.sxssxssss.xss.xs.sssxsxssxsssssss.s [ 67%]
ssxssxsssxss.xxs.ssxsxsssssxssxsssss.ssxssssx.xxsssssssssssssssxsssssxxss [ 68%]
sssssssssxssxxxssssssxssssxssssssssssssssssssssssssxxxs.ssssxssssssssss. [ 68%]
sssss.ssssssssxssxss.sssss.xsxssssssssssssss.ssssssx.xxxsssssssss.x..xsxs [ 68%]
sxsssssxxsxsxssssssssxxsxsss.sxs.ssxssssxsssssssssxsx.sssssxssssxssxs.xss [ 68%]
ssssssssssxsss.ssssssssxs.sss..sssxssxxxsss.xssssssxsxsssssxsxssssxss.ss [ 68%]
ssxsxssssxssxsxssxssxsxsssssxsssxxss.ssssssxsssssssssssssxsssssssxsssss.s [ 68%]
s.sssssxsxsss.ssssxsssssssssssssssssss.sssxssssssssssssssssx.ssssxxssssssss [ 68%]
sssssxsssssssxxssssssssxxssssssssssssssssssssss.sxxssssssxssssssxsxssx.s [ 69%]
sssssssss.ssssssssxssssssssxss.ssxssss..sxxxxxx..xxxssxxxssssxxxssssx.xx [ 69%]
xxxssssssssss.ssssssss.xssssssssxssxxsssssss.xxxssssssssss..ssssxxxxxsss [ 69%]
sssssssss.sssxxxssssssssss.xssssssssssssssssssssssssssssssssssssssssssss [ 69%]
ssxsssssssssxsxsssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 69%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 69%]
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.ssxs.xsxsssxsssss.sxsssxsssxxsssssss.ssss.xssxsssssssssssxsssxssssx.sss.s [ 70%]
.sxss.sxssssxsss...ssssssssxssxssss.ssxsssss.sssxxsxsssssxxsssxsssssssxs [ 70%]
ss.ssssxs.ssxssss.ssssxssssssssssssxxs.sssxsxsxs.sssxsssssssssssssssssss [ 70%]
sssssssxssssss.sssssssssssxssxssxssxssxssssssssssssssssssssssssss..sssss [ 70%]
xssssssxsssssxsssssxsssssssssxssssssssxsssssssssssssssssssxssxssssssssss [ 70%]
ssss.ssssssssssxxsssssssssssssxsssssssssssssxssssssssssxsssssssssxssssss [ 70%]
sx..xxsssssss.x.xxxs.ssssxxssssssssssssssx.ssssss.xss.xsssssssssxs.sssxsss [ 70%]
.ssss.ssssss.sss.ssssssxxsssssssss.ssssssssss.sssss.ssx..ssssssxsxs.sssssss [ 71%]
sxsssssssxs.ssssssss.sxsssssxsss.ssssssssss.sss.sssssxs.sssssssxxsssssss [ 71%]
xxsx.sssssxssss.sssssssss.sssssssssss.sssssssssssssxssx.ssssssssxxxssssssss.sx [ 71%]
xsssssssssssssssss.ssssssssss.xssssssssxssssssss.sxssssssss.xssssssxs.sssssssxs [ 71%]
s.sss.sssssxsssssssssx.xsssssssssss.sssssssssssssssssss..ssssxsssssssssssxss [ 71%]
.sxssssssssxs.sssssssssss.sssssx.sssssssssssss.sssssssssssssssssss.ssssssx [ 71%]
ssssxssssssss.ssssxsssxsssxssssss.sssssssssssxssssssss.ssxssssssssssssssss [ 72%]
ssssxss.ssssssssssssssssss.ssssssssssxssssssssssxs.sssssssssssssxsssssssss [ 72%]
sss.ssssssssssssssss.sssssssssssssssssssssxs.sssssssssssssxsssssssssssss [ 72%]
ssss.sssssssssssssssssssssssss.ssssssssssssssssss.sssss.xssssssssssssx.ssss [ 72%]
.sssssssssssssssxss.ssssssssssxssss.sssssssssss.ssssssssssssssssss.sxssss [ 72%]
xsxsss.ssssssssssss.s.sssssssssx.sssssssssssssssssssxsssssssssssssssssss [ 72%]
ssssxsssxx..ssssxxxsssssssssxsxssssssssxxsssssssssssssssssssssssssssssss [ 72%]
ssssssssxsxxssssssssssssxssx.ssssssssssss.ssssssssxssssssssssssssssssssss. [ 73%]
sssssssssssssssssxssssssxsssssssssssssssssssssxsssxsssssssssssssssssssss [ 73%]
ssssssssssssssssssssssssssss.ssssssssxsxsssssssssxssssssssssssssssssssss [ 73%]
sssssssss.ssssssssssssssssssssxssssssssssssssssssssssssssssxsxssssssssssss [ 73%]
sssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssss.sssss [ 73%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssxsssssss [ 73%]
ssxssxssssssssssssssssssssssssssssssssssssssssssssssssxsssssssssssssssssss [ 73%]
sssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssss [ 74%]
sssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 74%]
sssxsssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sssxssss [ 74%]
ssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssssxssssssxxs [ 74%]
sssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssxssssssxsssss [ 74%]
sss.sssssssssssssssssssss.ssssssssssssssssssssssssss.ssssssssssssssssxssx [ 74%]
ssssss.xsss.ssssssxxx.xxssssxsxxsxsxxxsxssxxx.sxxxs.ss.xssxs.xs.xsxsssss [ 74%]
sssxxsss.s.ssssssss.sx.sssxsssssssssssssssssssssssssssssss.sssssssssssss [ 75%]
sss.x.ssssssssx.xxsssss..sssssssssssssssssssssxxssxxsssssss.ssss.xsssssx [ 75%]
.s.ssssssssxxsssssssxsssssssssxsssxsssssssxxsssssssxxssssxssssssxxssssss [ 75%]
sssssxssssssssxssssssssssssssssssxxsssssssssssxsssssssssssssssxxssssssss [ 75%]
sssx.ssssssssssssssssssssssssxxssssssssxxsssssssssssssssssssssssxsssssssx [ 75%]
sssssssssssssxssssssx.sssssssssxssssssssssxsssssxssssssxsssssssssssssssss [ 75%]
sxsssssxssssssssssssxsxssssssssssssssssssssssxsssssxssssssssssssssxsssss [ 76%]
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sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 78%]
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xs.sssssssssss.ssssssssssssssssssssssssssssssssssss.sssssssssxssssssssssssssssss [ 78%]
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sxsssssssssssssssssssssssssssssss.ssssssssssss.ssssssssssssxssxssssssssss [ 78%]
sssssxssssssssssss.xsss.ssxssssssss.sssxssss.xsss.sss.sxsssssss.xsxsxsssss [ 78%]
sssx.ssssxsssssss.ssssxxssssxsssssss.sxsssxxxssssxssss..s.sxsxsxsssssss.xxssss [ 78%]
xxxsssssssssxsx.xxssxsssssx.xsxsssssxxsssxssssssxssxsssssxsssssssssssxxx [ 79%]
ssssssss..ssssxssssxs.ssss.ssxsssx.sss.sxsxxsxsxsss.sxssxsssssssssssxs.s [ 79%]
ssssssxsssssssss.xxssssssxxxssxsssssx.sxsssssxxxsxsxsssssssssxssssssssss [ 79%]
ssxssxsssssssxssxxsssxs.ssssssssxsssssxssssssssssssxxsssxssssxsssxs.ssss [ 79%]
sssxssssxssssssssxssss.xssxs.ss.s.xs.sssssssssssssssssssssxxxx.xssss.xss [ 79%]
ss..xssssx.sxxxxxsssss..xxxxssssxssxxsss.sssssssssssssssssssssssss.xxsss [ 79%]
ss.xxssxssssssssssss.xssssssxsssssssxxsssxssssssssssssssxxxsssssxsssssss [ 80%]
ssx..xxxssss.xssssssssssssssssssxsxxxxxsssssssxs.sssssssssssxsssssssssss [ 80%]
sssssss.sssssssxxsssssssxx.sssssxssxxxssss.xsssss.sxss.ssssss.ssssssssss [ 80%]
sssssssssssssssssssx.sxxxsssxxsssxxxsssssxssxssssssssssssssssssss.ssssss [ 80%]
ssssssxssssssssxxssxssssssssssssssssssssssssssssssssssssssssssxsssssxxss [ 80%]
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ss.ssss.ssss.s.sssxssxxxxsxssssssssssxxsssssss.xsxxs.s.sssssssssssssssxs [ 80%]
sssxxxxx.x.xssssxxxssssxxxxssssssxssxssssx.xsssssssssss.ssssssssxsxxssss [ 81%]
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.xxxxxsxsssssxssssxssssssxssssssssss.xxx..x..xxsssss.ssssssx.x.sssssssss [ 81%]
sxxxsssssx.ssssssssxxxxxssxsssssxssxxssss..ssssssssssssssxssssxssssssxsx [ 81%]
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ssssssxsssssssssxsssssssssxsssssssssssssssssxsssssssssssssssssssssssssss [ 82%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 83%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 83%]
ssssssssssssssssssssssssssssssssssssssssssssssss.ssssxssssssssssssssssss [ 83%]
ssssssxxssssx.xsssssx.s..xxsssssssssssxsssssxssssxssssssssssssssssssssxs [ 83%]
xssssxxsssssssssss.x.xxsssss.ssss...sssssssssssssxssssssssssssssssss.sss [ 83%]
sssssx..ssssssx..sssxsxxssssssxxs.xsssssssssss.xx.sssx.x..ssssxssxxxxsxs [ 83%]
sxssssxssxssss.sx.xx.x.x.xssssxxsssxsssss.xsssssssssssxssss.sxxs.ssssss. [ 83%]
xsssssssxs.xssssssxsxxsssssssxsssssx.sss.ssssxxsxsxssssxxxs.sss.x.sss.sx [ 84%]
xxxsssssxxsssssssssxsssss.sxssssx.x.ss.sxxsssxxxssxs.ssxssssssxxxxxssxxxs.s [ 84%]
xssssxxsxssssssssxssxssssssssxxssxxssssssxssssxxssssxsxssssxsxsss.xxsssss [ 84%]
xsssssxssxxsssssxssssssxxsssxssssssssx.ssssssssssss.sssssssssssxsxssssxsx [ 84%]
ssssss.sssssssssxssssssxxss.sssxssss.sssxsxsxsssssssssssssssxxssssx.xsss [ 84%]
sssssssx.xx.x..xssssxssssssxsssssssssssxxsxsssx.xxsxssx.sssxxssssxssxxxs [ 84%]
ssxxssssxssssssssssxsssss.xsssssxssssssss.sssssssxsssssssxssss.ss.sssxxxs [ 84%]
sssxxsxssssss.ssssssssssxxsssss.sss.sss.ssxxxsxsxs.sxssxss.xxx.sxsssssxx [ 85%]
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xxssssssssssssssssssssssxsssssssssssssssssssxsssssssssssssssssssssssssss [ 86%]
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x..sssssssxxs.....ssssxsssssxxsssssxsxssssssssssssssssxxsss.x.xxss.xssss [ 88%]
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xsxxxsssss.xssssxsxssssssssxx.xxxxxxsxssssxxssxxss.xsssssssxxssssx.ssss. [ 88%]
..ssssxsssxx.xsx..sxxsxsxssxsxsssssxsssxssssxssssssxsssssss...xxxxxs.xss [ 88%]
ss.xx...xxxxxxxxxxssxxssxx.xxxxssssxxxxsssxsxsxsxsxssxsssxsxxsssxxxx.sss [ 88%]
xsxsssssssssxxssssx.xxssssxsssxsss.sxsssxsxsssssssssssssssxxsssssss...xs [ 88%]
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xssssssssss..ssxxxxx..xx.sxss.sxx.ssxss..xxxsssss.xs.xx.xssxsxsxsxss.sss [ 89%]
xxsxsxsxsss.ssssssxxsxsss.sssssxsss.ssssssxxssssxsxssssssx.sssxxsssssss.xxxs [ 89%]
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xsssssx.xssxsxsssxssssssssxsssxsxxxxxssssxxxssssxxxxssss..x.ssssxsssssss [ 92%]
ssssxss..xsssssxsssssxsss.xs..s.xxsxsssss.sssx.sssss..xxss...xx..sssssss [ 92%]
.xxsxssxsssssxsssx.xx.xxxxss..ssxx.sxxx..sx.s.ssxxxxxxxxxsssxxxxxsxxxxxxxx [ 92%]
ssssxxxxsssxsxxsxsssxssxxsxxsss.xs.ssxxsx.xx..sxxxxxxsxx.xxxss.xsx.ssssss. [ 92%]
sxxssss.xsxx.xxxsx.ssssssssxxxxxxx.xxx.xxxsxssssssss.ssssssss.ssxxsssssx [ 93%]
ssxxssssxxsssssssxxssssxss.xsss.xss.xsssssxssssxxxx.xsxsx.xssssxxxxsxssx [ 93%]
ssssss.xxx.sssssxxssssssssxxssssssxxxssssssxxsssssssssssssssx.xssxxssssx [ 93%]
sss.xxssssssxssssxx.sssssss.sxsssssssssxsssssssssssssss.ssx.sssssssss..s [ 93%]
sssssx.x.x.ssxss..x.xsssx.sxxs.x.xsxxs.xssxxx.ssxsxxssssssssssss.sssssx. [ 93%]
.xsxxsssssssxssx.sssxsssssssssxsssssssssssssxsxsssssssxxxxs..sxssxsxxxss [ 93%]
ssxsssssxxsssssssssxsxxsxssssxssssssssss.xsssssssssssssssxssssssssss.sss [ 93%]
ssxssssxxssxxsssssssssssssssssss.ssssssss..sxssxssssss.sssssxssssxssssss [ 94%]
x.ssssssx.xxssssxsssssssssssssssss.ssxsssxsssssssxssssssssxxxxssssssssss [ 94%]
ssssssxsssssssxssxssssssxsssxsssssssssssxsssssss.ssssssx.sssssssssssssss [ 94%]
sssssssssxxxsssssssssssssxssssssssss.ssssssssssssssssssssxxxsssssssxxsss [ 94%]
ssssssssssssssssssxssxssssxsssssssssxsssssssssssxsssssssssssssssssssssss [ 94%]
xsssssssssssssssx.ssssssssssssssssssssssssssssssssss.xssssssssssssssssss [ 94%]
sssssssssssssssssssssssssssssxssssssxsssssssssssssssssssssssssssssssssss [ 94%]
xsssssssssssssssssssssss.ssssssssssssss.ssssssssssssssssssss.ssss.ss..ss [ 95%]
s.ss...sssxss.s....s..xsss.s..sssss.sssss.....xss...s.......s...s.ss.... [ 95%]
....................ss...........s..........s...s....s.s....s.......s... [ 95%]
......s..x...........s...........s.....s...............s............s... [ 95%]
.....ss.....s.........s..s.............................................. [ 95%]
........................................................................ [ 95%]
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.x...x.................................................................. [ 96%]
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........................................................................ [ 98%]
...................................................x.....x..x..xx....... [ 98%]
....x.x............................................ssss.s.......ss....ss [ 98%]
..ss..s.s.............................s.ss.s..s.sss...s.sssss.ss.ssssss. [ 98%]
s..sss.sss...s.sss...sss.ss.............ssss..................sss....... [ 98%]
.........x...x.x...............................s.....s.......s.......... [ 99%]
...x....x...x...xs.......sx....x..s............s.s.s.sssss..sssss.ssss.s [ 99%]
ssss.sssss..sss.s...s........ss..s..s.s.s.........ss.....s...s..s..s.sss [ 99%]
....s.....ss....s...ssss.........s..s....s........s.s............ss....s [ 99%]
...ss.s.s..ss.......s..s.ss..s...s......sssss.....sss.s....s.ss.s.s....s [ 99%]
ss.s..s......ss.....s.s....s........s.....s.ss..s................s...... [ 99%]
..ss....s.........................s...................................... [ 99%]
...............................................s........ [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
=================================== FAILURES ===================================
___________ test___setitem___non_hashable[int_index-list_of_labels] ____________
[gw4] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
___________ test___setitem___non_hashable[str_index-list_of_labels] ____________
[gw7] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
____________ test___setitem___non_hashable[int_index-boolean_mask] _____________
[gw6] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[0] not in index'
____________ test___setitem___non_hashable[str_index-boolean_mask] _____________
[gw5] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 800, in _compute_enlarge_labels
raise KeyError(
KeyError: "None of [[False, True, False, True, False]] are in the [Index(['a', 'b', 'c', 'd', 'e'], dtype='object')]"
___________________________ test_loc[float_nan_data] ___________________________
[gw43] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
______________________________ test_loc[int_data] ______________________________
[gw42] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
______________________ test_loc_iter_assignment[0-False] _______________________
[gw47] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
_______________________ test_loc_iter_assignment[0-True] _______________________
[gw2] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
---------- coverage: platform linux, python 3.8.12-final-0 -----------
Coverage XML written to file coverage.xml
=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-boolean_mask]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-boolean_mask]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[float_nan_data]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[int_data] - Typ...
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-False]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-True]
= 8 failed, 8869 passed, 37321 skipped, 3276 xfailed, 22018 warnings in 233.94s (0:03:53) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
<b>Remaining output truncated<b>
TeamCity Ray test results bot
Tests FAILed
Tests Logs
0m becomes:
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[2m[36m(pid=5833)[0m The new arguments that you should use are 'offset' or 'origin'.
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ssssss.ssssssssssssssssss.sssss..s.ssssssss.ssss.ss.ss.sssssssssssss.s.. [ 20%]
.s.s.ss.sss..sss..sss.sss.ss..ss.ss.ssss.ssss.s.s.ssss.sssss.sssssss..ssss [ 21%]
ss.sss.s.sssss.ssssss.ssss.ssssss..ss.ss.ssssssss.sssss.sssss.ss.sssssss [ 21%]
sss....s.ssss.ss..s.ss..sssssssssss..sss.s.ssssss..sssss.sss.sss...s.sss [ 21%]
sssss.sssss.sssss.ss...s.sssss..ssss..s.ssss.s.ssssss.ssssss..ssssssssss. [ 21%]
s..sss.s.ssssssssss..ssss..sss.ssss.ssssss.ss.ss....sss.sss...sss.s.ss.sss [ 21%]
ss.sssss.s.sss.ssss.sssssssssssssssssss.sssssssssssss.ssss.s..ssssssssss. [ 21%]
sssss.ss.ssssssss.sssss..ss.ssssss.sssssssssss....sssssssssssssss.ssssss [ 21%]
sssssssssssss..ssssssss.sssssssss.ssssssssssss.ssss.ss.sss.sssssssss..ss [ 22%]
ssssss.ssss.s.s.ssssss.ss.sss.sss..sssssss.s..sssssssssssss.sssssssssss. [ 22%]
sssssssssssss.ssss..sssssssssssssssssssssssssssssssss..ssss.ssss.sss.ss. [ 22%]
s.sss.sssssssss.ssssssssss.ssss.sss.ssssss.ss.ss.xsssssssss..sssssssssss [ 22%]
s.s.ss.sss.sssssssssssss.ssssss.sssssssssssssssss.ssss.ssssssssss.ss.sss. [ 22%]
s.sssssssssssss.ssssssssssss.sss.ssssssss.ssssssssssssssssssssssssssssss [ 22%]
s.sssssss.s..ssssss.ssssssssssssssssssssss.sssssss.sssssssssssssssssssss [ 22%]
sssssssssssssssss..ssssssssssss..s.ssssssssssssssssss.s.ssssssssss.sssss [ 23%]
sss.ssssssssssssss.sssssssss.sssss.ssssss.ss.sss.s.ssss.ssss.ssss..sssss [ 23%]
sssss.ss.sssssss.sssssssss..sssssssss.ss..ssssssssss.sssssssssssssssssss [ 23%]
ssss.ssssssssssssssssssss.s.sssssssssssssssssssssssssssss.sssss.ss..s..s [ 23%]
ssss..sssssssss.sssssssssssssssss.ssssss.sss.ssssssssss.sss.s.ssssssss.sss. [ 23%]
ssss.ssssssssss...ssssssssssssss.s.s.sssss.sssssssssss.ssssssssssssssss.s [ 23%]
ss.ss.s.sssss.ssss..sssssss..sssssssssssssssssssss.sssssssssssssss.ss.sss [ 24%]
ssssss.ss..ssss.ssssssss.sssssss.ssssss.ssssssssss.sssssssss.s.sss.sssssss [ 24%]
ss.ssssss...ssssssssssssss.sssssssssssssss.s.ss.ssssss.ssssssssssssssss.s [ 24%]
sss.ss..ssssssssss.ssssssss.sssss.sssssssssssssssssss.ssssss.sssssss.ssss [ 24%]
ssssssss.s..s.ssssssss.ssssss.s..ssss.sssss.sssssssssssssss.ss.sssssssss. [ 24%]
ssss.ssssss.ss.ss.sssssss.ssssss.ss.s..ss.sssssssssssssssssssssssssss.ss. [ 24%]
ss.sssssssss.s.s.s.ssssssssssssssssssssssssssssssssssssss.s.s.ssssssssss [ 24%]
sssssss.ssssssssssssss.sssssssssssssssssssssssss.s.sssssssss.sssssssssss [ 25%]
ssssssssssss.s.ss.s.s.s.s..s.s..s..s.s............s.ss..sssss.s..ssss.s. [ 25%]
ssssss.s.s.s.ssssssssssss...s...sssss.....Fssss.sss...ss.s...s.s.sssss.. [ 25%]
ss.s..sssss.sssss.ssssss.sssssssssssssssss.ss.ssssss.s.s.sssssssssssss..ss [ 25%]
ssssssss.s.sss.sssssssss..ssssssssss.sss.ssssssssssssssssssssssssssssssss [ 25%]
sssssssssssss.ssss.ssssss.sssssssssss..ssssssssssssssssss.ssssssssssssss. [ 25%]
sssssssss..ssssssss...ssss.ss.ssss..sss.sssssssss.s.ssssssssss.sssssss.s [ 25%]
sss.ss.sssssss..s..ssss.sssssssssssssssssssssssssssssss.sssssss.ssssssss [ 26%]
.ssss.ssssssssssssss.sssssssssssssssss.ss.ssssssssssss.ssssss.ss.s.sssssss [ 26%]
sssss.sssssssssssssssssssssssssssss.ss.ss.s.s.ss.ssssssss..ssssssssssss. [ 26%]
.sssssssssss.ss.ssss.sssssssssssssssssssssss.s.ssssssssssss.s.sss.ssssss [ 26%]
s.sssss.s.s..s.sssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss [ 26%]
sssssssssssssssssssssss.ssss.ssssssssss.s..sssssssssssss.sssssssssssssss [ 26%]
.sssss.sssssss.sssssssss.s..ssss.sss.ssssssss..ssssss.ssssssssssssssssss [ 26%]
ssss.sssss.ssssssssssssss.ssss.ssssss..ssssssss..s.sssssssssssssssssssss [ 27%]
sssssssssssssss.sssssssssssss.sssssssssssssssssssssssssssssssssss.ssssss [ 27%]
ssssssssssssss.ss..ssssssss.ssss.ssssssssssss.ss.ssss.sssssss.s.ss...sss [ 27%]
sssssssssssssssss..sssssssssssssssssssssssssssssssssssssssssssss.sss.sss [ 27%]
ssssssssssssssssssssss.sss..ssssssss.ssssss.ssssssssssssssssss.ss.sss.ss [ 27%]
ssssssssssssss.sssssss.ssssss.ssssssssss.ssssssssssssssss.ss.s..sssssss.. [ 27%]
.ss.sss.s.sssssssssss..ssss.ssssssssssssssssssssssss.sss.ssss.ss.sssss.s [ 27%]
sssssssssss.sssssss.ssss.ss.sssssssss.sssssss.sssssssssssssssss.ssssssss [ 28%]
sssss.sssssssss.s.ssssssssssssss.sssss.sssssssssssss.s.ssssssss.sssss.ss [ 28%]
sssssssss.sssss.ssss.ssssssssssssss.ssssssssssssssssssss.ssss.ssssssssss [ 28%]
sssssss.sssssssssss.sssssssssssss.sssssssssssssssssssssssssssssssssssssss [ 28%]
ssssssssssss.sss.ssssssssssss.sss.s.s.ssssssssss.s.sssssssssss.sssssssss [ 28%]
ssss.sss.sssssssssss.ssssssssss.ssss.s.ssssssssssss.ssss.sss.ss.sssssssss [ 28%]
sssssssssssssssssss.ssss.sssssssssssssssss..sssssssssss.ssssssssssssssss [ 29%]
sssss.sssssssssssssssssssssssssssssss.ssssssssss.sssss.ssssss.sssssssssss [ 29%]
.s.sss.sss.sssssssss.sss.s.ssss.s.s..sssssss.ss.ssssssssss.sssssssssssss [ 29%]
sssssssss.ssssssssssssssssssss.sssssssssssssssssssssssssssssssssssss.sss. [ 29%]
.ssss..ssss.ssssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssss [ 29%]
sssss.sssssss.ssssssssssssssssss.sssssssssss.ss.ss.ss.ssss.ssss.ssssssss [ 29%]
ssssssss.s.sssssss.s.ssssssss.sssssssssssss.sssssss.ssssssssssssssssssss [ 29%]
sssssssssssssssssssssssssssssssssssssssssssss.ss.sssssss.sssssss.ssssssss [ 30%]
sssssss.sssssssssssssssssssssssss..ss.ssssssssss.ss.sssssssssssssssssss.s [ 30%]
ssssss.sssss.ssssssssss.sssssssssssssssssssssss.ssss.ssssssssss.s.s.ssss [ 30%]
.sss.ss.ssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssss. [ 30%]
ssssssssss.ssssssss.ssssssssssssssssssssssssssssssssssssssssss.s.sssssssss [ 30%]
ssssssss.s.ss.sssssssssssssssss.ss.s.sssssss..ssssssss.sssssssssssssssssss [ 30%]
ssss.sssssss.s.sssssssss.sssssssssssssssssssssssssssss.sssssssssssssssss [ 30%]
sssss.ssssssssssssss.s.sssssssssssssssssssssssssssssssssssssssssss.sssss [ 31%]
ssss.ssssssssssssssssssssss.ss.sssss.ssssssssssssss.ssss.ssssssssssss.sss [ 31%]
sssssss.ss.sssssss.ssssssssssss.sssssssssssssssssss.ssssss.sssssssssssssss [ 31%]
sssssssssssss.sssss.sssssssssssssssssssssssssssssssssssss.sssssss..ssssss. [ 31%]
sssssss.sss.sssssssssssssssssssssssssssssssssss.ssssss.ssssssssssssssss.s [ 31%]
ssssssssssssssssssssssss.ss.sssssssssssssssssssssssss.sssssssssssssss.ss [ 31%]
sssssssssssssssssss..ssssssssss.sssss.s..sssss.sssssssssssssssssssssssss [ 31%]
s.ssssssssss.sssssssssss.s.ssssssssssss.ssssssssssssss.sss.ssssssssss.ss [ 32%]
ssssssssssssssss.ssssssssssssssssssssss.sss..ss.ssssssssssssssssssssssss [ 32%]
sssssssssssssssss.ssss.sssssss.ss.sssssssssssssss.sss..sssssssss.sssssssss [ 32%]
.sssssssssss.sssssssssssss.sssssssssssssssssss.ssssssssss.sssssssssssssss [ 32%]
ssssssss.ssssssssss.sssssss.ssssssssss.ssssss.ssssssssssssssssssssssssss.s [ 32%]
ssssss.sssssss.sssssssssssssss.sss.sssssssssss.ssssssssss.s.ssssssssssss. [ 32%]
ssssssssssssssss.sssssssssssss.s.sssssssssssssss.ssssss.sssssssssssssssss [ 32%]
ss.sssssssssssssssssssssssssssssssss.ssssssss.sssssssssssss.ssssssssssss [ 33%]
ssss..ssssssssssssss.s.sssssssss.s.sssssssssssssssssssssssssssssssssssss [ 33%]
s.s.s.ssss.sssssssssss.sssss.sssssssss.ssssssssssssssss.ssssssssssssssss [ 33%]
ssss.ssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sss.ss [ 33%]
ssssssss.ssssssssssssss..ssss.s..s.s....ss.s..s.s.s.s..ssss.ssssss.sssss [ 33%]
ssss.sss.sssssssss.sssss.sssss.sssss.sssssssssss.ssssssssssssss.sssss.sss [ 33%]
ssssssssssssss.ss.ssssss.ssssssssss.ss.sssssssss.ssssssssssss.ssssssssss [ 34%]
.s.sss.ssssssssssssssssssssssssss.ssssssssssssssssssss.sssssssssssss.s.s [ 34%]
sssssssssssssssssss.sssss.ssssssssssssssssssssssssssssss.s.sssssssssssss [ 34%]
sss.ssssssssssss.s.ssssssssssss.sss.ssssssssssssssssssssssss.ssss.ssss.s [ 34%]
sssss..ssssssssssssssssssssssssssssss.ssssssssss.ssssssssssssssssssssss.ss [ 34%]
ssssssssssssssssssssssssssssss.sssssssss.ssssssssssssssss..ssssss.sssssssss [ 34%]
ssss.s.sss.ssssss..........s.ssss.sssssssss...ssssssss.......sssss..ssssssss [ 34%]
sssss.sssssss.....sss.ssssssssss.s.ssssssssss.ssssss.sssss.ssssssssssssssss [ 35%]
.sssssssssssss..sss.sssssss.sssssssssssss..sssssssssssss.ssssssssssss.ss [ 35%]
.ssssssssssssssssssssssssssss.ssssssssssssssss.sssss.ss..sssssssssssssssss [ 35%]
sssssssssss.sssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 35%]
sssssssssssss.ssssssssssssssssss.s.sssssssssssss.ssssss.s.ssssssssssssssss [ 35%]
sssssssssss.ssssssssssssssssssssssssss.ssssssssssssss.sssssssssssssssss.. [ 35%]
ssssssssssssssssssssssssssss.s.s.sssss.sssssssss.sssssssssss.ss.ssssssss [ 35%]
ssssssssss.sssssssssssssssssssssssssss.ssssssssssssssss.ssssssssssssssss [ 36%]
ssssssssssssssssss.sssssssssssssss.ss.sssssssssssssssssssssssssss.ssssss [ 36%]
.ssssssssssssssss.sssssssssssssssssssssssssssssssss.ssssssssssssssssssss [ 36%]
sssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 36%]
sssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssss.sssssssssss [ 36%]
ssssssssss..ssssssssssssssssssssssssssssssssss.sssssssssssssssssss.sssss [ 36%]
sssssss.sssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss [ 36%]
sssssssss.sssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssss [ 37%]
sssssssssssssssssssssssssssssss.ssss.ssssssssssssssss.sss.ssss..sssssssss [ 37%]
ssssssss.ssssssssss.sssssssssssssssss.sssssssssssssss.sssssssssssssssssss [ 37%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
sssss.sss.sssssssssssss.sssssss.sssss..sssssssss.sssssssssss.sssssssssssssss [ 37%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssssssssssssss.ssssssssssssssssssssss.ssssssssssssss.s [ 37%]
ssssssssssss.sssssssssss.sss.sssssssssss.sssssssssssssssssssssssssssssssss [ 38%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssss [ 38%]
sssssssssssss.ssssssss.ssssssssssssssss.ssssssssssssssssssssssssssssssss [ 38%]
s.sssssssssssssssssssssssssssssssssssssssss.sss.ssssssssssssssssssssssss [ 38%]
sssssssssssssssssssssssssssss.sssssssssssssssssssssssssssss.s.sssss..sss [ 38%]
ssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssss. [ 38%]
ssssssssssssssssssss..ssssssssssssssssssssssssssssssssssssss.sssssssssss [ 39%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 39%]
ssssssssssssssss.sssssss.sssssssss.ssssssssssss.ssssssssssssssssssssssss [ 39%]
sssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss.sss [ 39%]
sssss.sssssssssssss.sssssssssssssssssssssssssssssssssssssss.sssssssssssss [ 39%]
ssssssss.ssssssss.sssssssss.sssssssssssss.sssssssssssssssssssssssssssssss [ 39%]
ss.ssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssss [ 39%]
sssssssssssssssssssssssssssssssssssssssssssssssss.ssssss.sssssssssssssss [ 40%]
ssssss.sssssssssssssssssssssssssssssssssssssssssssssssssss.ss.sss.ssssss [ 40%]
sssssssssssssssssssssssssssssssssssssss.sssssssssssss..sssssssssssssssss [ 40%]
sssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssss.s [ 40%]
ssssssssss.ssssssssssssssssssssssssssssssssssssssss.ssssssssssss.sssssssss [ 40%]
sssss.sssssssssssssssssssssss.sssssssssssssssssssss.sssssssssssssssssssss [ 40%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssss.s [ 40%]
sss.ssssssssss.sssssssssssssss.sssssssssssssssssssssssssssss.ss.ssssssss [ 41%]
ssssssssssssssssssssssssssssssssssssssssssssssssss..ssssssssssssssssssss [ 41%]
sssssssssssssssssssssssssssssssssssss.ssss.ssssssssssssssssssssssssss.ss [ 41%]
sssssss.sssssssssssssssssssssssssssssssss..s..s.s.s.ssssssssssssssssssss [ 41%]
sss.ssssssss.ssssssssssssssss.s.sssssssssssssssssssssssss.ssssssssssssss [ 41%]
sssssssss..ss.ssssssssss.sssss.sssssssssssssssssssssssssssssssssssssssss [ 41%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssss [ 41%]
sssssssssssssssssssssssssssssssssssssssssss.sssssssssssss.sssss.ssssssss [ 42%]
..sssssssss.ssssss.sssssssssssssssssssssssssssssssssssssss.sssssssssssss [ 42%]
ssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssss.sssssss [ 42%]
sssssssssssss.ssssssssss.s...ss.sssssssssss.ssssssss.ssss..sss.sssssssss [ 42%]
sssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssss.ssssssssss. [ 42%]
ssssssssssssssssss.sssssssssssss.ss.ssss.sssssssssssssssssssssssssssssssss [ 42%]
ssssssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssss [ 42%]
ssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssss.sssssssssss [ 43%]
..s.s...s.ssssssssssss.ss.sssssssss.ss.sssssssssssssssssssssssssssssssss [ 43%]
ssssssssssssssssssssssss.ssssss.ssssssssssssssssss.sssssssssssssssssssss [ 43%]
sssssssssssssssss.ssssss.sssssssss.sssssss.sssssssssssssss.s..s.s.ssssss [ 43%]
sssss.sssssssssss.ssss...sssssssss.ssssssss.sssssssss.ssssssss.sssssssss [ 43%]
sssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssss.sssssssssss [ 43%]
sssssssssss.ssssssssssssssssssssssssssssssssssss.ss.ss.ssssssssss.ssssss [ 43%]
ssssssssssssssssssssssssssssssssssssssss.sxssss.ssssssssssssssssssssssss [ 44%]
sssssssssssssss.ssssssss.sssssssssssssssssssssssssssssssssssssssssssssss [ 44%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 44%]
s.sssssssssssssssssssssssssssssssssssssssssssssssssssssssxssss.sssssssss [ 44%]
ss.ssssssssssss.sssssssssssssssssss.sssssxssssxsssssssssssxsssssssssssss [ 44%]
sssssss.sssssssssssssssssssssss.ssss.sssssssssssssssss..ssssssssssssssss [ 44%]
sssss.ssssssssss.sssssssssssssssssssssssssssssssssssssssss.sssssssssssss [ 45%]
ssssssssxx.sssxssssssssssssssssssssss.ssssss.sssxsssssssssssssssssssssss [ 45%]
ssxssssss.sssssssssssssssssssssssssxsssssssssssssssss.ssssssssssssssssss [ 45%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssxsssssssssss.sss [ 45%]
sss.sxsssxssssss.ssxssss.sssssssssxsssssssssssssssssssssssssssssssssssss [ 45%]
ssssssssssssssssssssssssssssssxsssssssssssss.sssssssssssssssssssssssssss [ 45%]
sssssss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssxss [ 45%]
sssssssssss.ssssssssssssssssssssssssssssssssssssssssssssxssssssssssssssss [ 46%]
xxsssssssssssssssssssssxsssssssssssssssssssss.ssssssssssssssssssssssssss [ 46%]
sssssssssss.sssss.sssss.sssssssssssssssssssssssssssssssssssssssssssssssss [ 46%]
ssssssssssssssssssssssxssssssxsssssssssssssssssssssssssssssssss.ssssssss [ 46%]
ss.ssssssssssssssssssssssssssssssssssssss.ssssssssxssssssssssssssssssssss [ 46%]
ssssssssssssssssssssssxssssssxxssssssssssssssssssssssssss.s..ss.ssssssss [ 46%]
sssssssssssssssssssssssssssssxs.sxssss.s.sxssssxssssssssxsss.xssssssssss [ 46%]
.ssssssssssssssss.sssssssssssssssss.ss.ssss.ssssssssssssssssssssssssssss [ 47%]
ss.sssssssssssssssssssssssssssssssssssss...xssss.x.s.s.xsssss....sss.sss [ 47%]
ss.sssssss.ssssssssxssssssssssssx.ssss.sssssssxss.ssss.sssssssssssssssss [ 47%]
ss.sssssssxssssssssxssssxssssssssss.s.sssssssssssssssssssxsssssssssssxss. [ 47%]
ss.sxssssssxssxssssssssss.ssssssssssssssssssssssssssssx.ssssssssssssssss [ 47%]
sssxssssssssssxsssssssssssssssssssssssssssssssssssssssssssssssssssssssxs [ 47%]
sssssssssss.sssssssssssxssssssssssssssssssssssssssssssssssssssssssssssss [ 47%]
sssssssssssssssssssssssssssssssssssssssssxsssssssxxsssssss.ssssxsssssxxsx [ 48%]
xsxxsxsxsssssxxsssssssssssxxxssssssssssssssxssssssssxsxxssssssxxxssssssx [ 48%]
ssxsssssssssxssssssssssssxsssssssssssssssssssssssssxssssssssssssssssssss [ 48%]
ssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssssssssssssss [ 48%]
sssssssssssssssssssssssssssxssssssssssxssssssssssssssxxssssssssssssxssss [ 48%]
sssssssssxssssssssxsssssssssssssssssssssxsssssssssssssssssssssssssssssss [ 48%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssxssssssssssssssss [ 48%]
sssxsssssssssssssssssssssssssssssssssssssssssssssxsssssssssssssssssssssss [ 49%]
ssssssxssssss.ssssssssxsssssssssssxsssssssssssssssssxssssssssssssssssssss [ 49%]
xxssssssssssssssssxssxsssssssssssssssssssssssssssssssssssssssssssssssssss [ 49%]
sssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssss.sssssss [ 49%]
sssssssssssssssssssssssssssssssssssss.ssxssssssxsssss.ssssssssssssssssss [ 49%]
ssssssssssssssssssssssssssssxssssssssssssssss.sssssssssssssssssssssssssss [ 49%]
s.sssssssssssssssssssssssssssss.ssssssssxsssssssssssssssssssssxsssssssss [ 49%]
sssxssssssssssssssssssssssssssssssssssssssss.xsssssssssssssssssssssss.ss [ 50%]
ssssss.sssssssssssssssssssssssss.ssssssssssss.sssssssssssssssssssss.ssss [ 50%]
sssssssssxssssssssssssssssssssssssssssssss.ssssxssssssssssssssssssssssss [ 50%]
ssxsssxssssss.ssssssssssssssssssss.ssssssssssss.ssssssss.ssssxssssssssss [ 50%]
sxsssssssssssssssssssssssssssssssssssssssxssssss.ssssssssssss.xxxsxsss.s [ 50%]
sxxsxsssx.sssxssxsx.ssxxsssssssssxs.sssssssxxsssxxsssss.sssssxssssssxssss [ 50%]
sssssss.ssssssssssxsssxssssxssss.sssssssssssssssssssssssxsssssssssssssss [ 51%]
sssssssssssssxsssssssssssxsssss.xssssssss.ssss.ssssssssssssxsssss.ssssss [ 51%]
xsssxxssssssssssssssssssssssssssssxxssssssssxxsxssssssssssssssssssssssss [ 51%]
ssssssssssxsxssssssssssxsssssssxsssssssssssssssssssssssssxssssssssssssss [ 51%]
xsssssssssssssssssss.xsxssssssxxssssxsxssssssxsssssssssssssssssxxxssssss [ 51%]
ssssssssssssssssssssssxsssssssssssssssssxsssssxsssssssssssssssssssssssss [ 51%]
ssssssssssssssssxsssssssssssssssssssssssssssss..sssssssssssssssxsxxsxsss [ 51%]
ssssssssssxsssssxssssssxssxsss.sssssssssssssssssssssssssssssssssssssssss [ 52%]
ssssssssssssssssssssssssssssssssss.xssssssssssssssssssssssssssssssssssxs [ 52%]
ssssssssssssxssssssssssssssssssxssssssssss.sxsxsssssssssssssxsssssss.sss [ 52%]
sssssssssssssssssssssxsssssssssssssssssss.sssssssssssssssssssssssssssss. [ 52%]
ssssssssssssssssssssssssssssssssssssssssssssxssxssssssssssxssxxsssssssss [ 52%]
sssssxssssssssssssssssssssssssssssssssssxssssssssssssssssssssxssssssxsss [ 52%]
sssssssssssssssssssssssssssssssxssssssssssssssssssssssssssssxsssssssssss [ 52%]
ssssssssss.ssssssssssssssssssxssssssssssssxsxsssssssssss.ssxsssssxsssxss [ 53%]
ssssssssssssssssssx.sssssssssssxssss.sssss.ssssssssssxssss.sssssssssssss [ 53%]
ssssssssss.sssssssssssssssssssssxxsssssssxxssssss.sssssssssssxssssssssss [ 53%]
ssssssssssssssssssssssxsss.ssssssssssssssssssssssssssssss.sssssssssssssss [ 53%]
sssssssssssxssss.sssssssssssssssssssssssssxssssssssssssxsssxssssssssssss [ 53%]
sssxsxsssssssssssssssssssss.sssssssxss.ssssssssssssssssssssssssxsssssssss [ 53%]
ssssssssssxssssss.sssssssssssssxsssssssssxss.ssssssssssssssssssssssssssss [ 53%]
s.ssssssssssssxsssxsssssssssssssssssssssssssssxssssssssss.ssssxsssssssss [ 54%]
sssssssssssssssssssssss.sssxss.ssxsssssxssssssssssssxs.x.ssssxsssss.ssss [ 54%]
ssss.ssssssssssxsssssssssssss.sssxssssssssssssssssssssxsssssxsssxsssssss [ 54%]
ssssssxssxssssssxxx.x..sxsxxxxs.xxsx.x..x.xxxxxxxxx.xxssxssxxxxxxxxx.ssx [ 54%]
ssxsssxs.sxssssssssssxxsssxsxxssssxssssssxsssxsssssssssssxsssxssssssssss [ 54%]
sxsssssssssssxss.sss.sssssssxssssssxsssssssssssssssxssssxssssssssssxssss [ 54%]
sssssssssssssssssssssssssssssssssssssxsssssssssxsssssssssssssxssssssssss [ 54%]
sssssssssssxssssssssssssssssssssssssxssssssxs.xsssssss.s.s.sssssssssssss [ 55%]
sssxsssxsssssssssssss.sssssssssssssssssssssssss.ssssssssssssx.sssssssxsss [ 55%]
ssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssx.sss.xsssssss [ 55%]
.xsxxs.sxssssssssssss.xxsssssxsssssssss.sxsssxsxssxxsssxsssssxssssssssss [ 55%]
ssxsssssxxxxxxssss.ssssssssssssssssssssssssssssssxssssssssssxsxsssssxsss [ 55%]
sxxxsssssssssssssssxssssssssxsssxxss.sxxsssssssssssssssssssssssssssssxss [ 55%]
sssssssxsssssssxxsssssxssssssssssssssssssssssssssssssssssssssssssssxssss [ 55%]
sssxsssssssssssxsxsssssssssssssssssssssssssxssssssxs.ss.sssxssssssssssss [ 56%]
ssssxssssss..ssssxsssxxs.ssssssssssssssssssxsssss.sssssss.sssssssss.sssx [ 56%]
sssssssssxssssssssxsxsssssssssxsssssssssxsssssssssssssssssssssssssssssss [ 56%]
s.sssssssssssssssssss.ssssssssssssssss..ssx.ssssssssssssxsssssssssssssss [ 56%]
ssssssssxsss..ssssssssssssssssssssssssssssssssssxsssxxsss.sssssssssssssx [ 56%]
sss.xssssxsssssxssxsssssssssssssssssssssssxssssssxssssxssxsxsxsxsssssxxx [ 56%]
ssss.x.sxssssxsxsssssssxsssxssssxxsssssssssssxsssssxsssxssssssssssssssss [ 56%]
xssssssssssssssssssssssssssssxsssssss.ssssssssssssssssxssssssssssssssssss [ 57%]
ssssssssssssssssxsssssssxsssssssssssss.ssssxssss.sssssssss.sssssssssssss [ 57%]
ssxsss.ssss.sxxxsxsssss..xss.sxxxxxssssss.ssxxsxsssssssx.xxx.xssx..xxs.x [ 57%]
.sxxx.x.xs.ssssssss..ss.ssssssssxssssssssss.s.xsssssssss.ssxsssxssssssss [ 57%]
ssssssssssssssssss.xxsssxsssssxssxssssss.sssssssssssssxssssxsssssssxxxxs [ 57%]
s.xsxssxsssxssssssxxsss.x.ssssxssssxssssssssssssssssssssssxssssssssssss. [ 57%]
.sss.ssssssxxsssss.xxssssxssssssssssssssxsssxsssssxssssss.xsssssssssxsss [ 58%]
sssx.ssxxxsssssssssssssssssss.xxssssssxxxxsssssssssssssssssxxxsssssssxss [ 58%]
sxssssssxssssssxsssssxss.xxsssxssxxxxxxssssxxssxsx.sssxxssssssssxsssxxss [ 58%]
sxssxxsxsssssssxxssssssxsssssxsssssssssssxssssssssxxssssssssss.sssssssss [ 58%]
sssssssxsss.ssssssssssxsssxsssssssssssssssxssxsssssssssssxssssss.ssssxxs [ 58%]
sssxsssssssssssssssssssssxssssssxsssss.xxssssssssssxsss.ssxssssxssssss.x [ 58%]
ssxxsssssxssssssssss...xss.sssss.xsss.ssssssssss.ssssssssssssxssssss.sss [ 58%]
ssssxsssssssssxsssssssssssssxsssssxsssss.ssss.ssss.ssssssssssssssssssssss [ 59%]
ssxsssssssssss.ssxssssssssssss.sssssssssssssssssssssxssssssssssxxsssssss [ 59%]
ssssssssssssssssxxsxssss..sssssxss.sxs.sssssssxssssssssssssssssssssssxxs [ 59%]
sss.xsssssssssssssssssss.xsxxsssxssssxss.sxsssssssssssssssssxsssxsssssss [ 59%]
xxxssxssssssssssssssssssssssssxsxxsssssxsssxssssssss.ssssssxssssssxssx.x [ 59%]
xxssxssxssxssssxsssxsssssssssssssssssssssssssssxxssssssss.sssxxssxssssss [ 59%]
ssss..sssssssssssssssxssss.sss.sssssxxsssxsssssssssssssxssss.sssssssss.s [ 59%]
ssssssssxxxxsxsss.ssssss.sssxs.sssssxssssssssxxsssss.sssssssxsss.ssxssss [ 60%]
sssssssssssssss.ssxssxsssssssssssssssxsssssssssssssssssssssssssssssxssss [ 60%]
ssssssssxsssssssssxsssxssxssssssxssssssssssssxxsssssssssssssssssssssssssx [ 60%]
xsssssssssssxssssssssxsssssssssssssssssssssssssssssssssssssssssxsx.xssx.s [ 60%]
sssssssss.ssssxssssssssssssssxxsssxssssxxssssxssssxsssssssssssssssssssss [ 60%]
ssssssssssssssssssssssssxssssssssssssssxssssssssxsssssssssssssssssssssxx [ 60%]
ssssssx..xx.xxxxx..sxx..sssssxsssx.xxxxxxxxx.xxxxs.ss.xxxxsx.sxxsxxxs.xx [ 60%]
sx..sxss.xssxs.x.sxxxsxx.s.ss.xssxxssxxssxsxxsxsxxsxsssxsxxxxsssssssssss [ 61%]
sxsssxssssxsssssssssxsxssssxssssxxsxssssssssssxsssssssssxssssssssxxsssssx [ 61%]
ssssxsssssss.sssss.ssssxssssxsssssxsssssxssssssssssssxssssssxxxssxsxsxsx [ 61%]
ssss....sxxxs.xxx.xx..x..xxxxxxxxx.sxxsssssxssssssssssx.ssxssssssxxsssss [ 61%]
sss.sssxxxxsssssssxssssssssssssssssxssssssxsssss.ssx.sssxssssssssxsssssss [ 61%]
s.x.sssssxssxssssssxsssssssssssssss.xss..sssssssxss.xsssssssssssssxsssss [ 61%]
ssssssssxssxssssssssssssssxssssssssxssssssssssxsxxsssssssssssss.ssssssss [ 61%]
sssssxsssssxsssssssssxxsssxssxsssssssssss.ss.sssssssssssssssssssssxssxss [ 62%]
xsssssssssssssss..ssssssssssssssxs.sssssssssssssssxxxsxssxsxsssssssxxsxx [ 62%]
x.xssssssssxsssssssxssssssssssssssssssxss.sssxsssss.ssssssssxssssss.ssxs. [ 62%]
ssssssssxssxssssssssssssssx..sssssxsssssss.xsssxssssssssssss.sssssssssss [ 62%]
sssssxsssss.sssssssxsssssssxssssssss.ssssssssxx.ssssssssssx.xsss.ssxssssx [ 62%]
sssssxsssssssssssssxsssxx.xssssssssssssssxsxssssssxssssssssxssx.ssssssss [ 62%]
xxs.s.x.xsssss..ssssssssssxxsxsssxssssx.sssxsxss.xssxsssxxsssssssxxsssxs [ 62%]
sxssxsssss.x.sssxssssss.ssxsssssxssxssssxxsssxssxsxsxssssxss.ssxssssssss [ 63%]
sssssxsxxssssssssssxsxssssssssssssssxsssssssxssss.ssssx.ssssssssssssssxs [ 63%]
ssssssssssxxssxsssssssxsss.sssssssssssssssssssssssssssssxx.xsssssssssssss [ 63%]
sssxxs.sssssssssssssssssssssssssxsssxxsssss.sssxssssssssxsssssssssssss.s [ 63%]
xssssssssssssxsssssssssssssssssssssssxssssxssssssss.sssssssssssssssssxss [ 63%]
ssssssssssssxsxsxssxssssssssxssssssssss..sssssssssxsssssssssss.xssssssxx [ 63%]
sxxxsssssssxssssssxssssssxsssssssss.ssxsssssssssss.s.xssssssxsxsx.sxssxs [ 63%]
.xsssxxsssxsssssss.sssssssxsxxssssssssssxssssssssx.sssssssss.ssssxssss.s [ 64%]
sxsssxssssssssssssssxxs.ssxssssssss.ssss.xsxssssssssxssssxsssssxssssssss [ 64%]
ssssssssxssssssssssssxssss.xsssssxssssss.sssssssssxssssssssssssxxsssssss [ 64%]
ssssssssssssssxssssssxxxxssssssssssssssxxxssssssxsssssxsssssssssxssx.xsx [ 64%]
sssssssxssssssxssssss.sssssssssssssxxssssssssssssssss.xsssss.sssss.xssss [ 64%]
sssssssssxsxsssss.sssssssxssssssxsssxssssssssssxssxxsssxssssxssssss.sss.s [ 64%]
ssxsssssssxssxsssssss.xssssssss.xssssxxssxssss.sxsxssssssssssxssssssss.ss [ 65%]
sssxxsssssssssssssssssssxssssssssssxxsxsssssssssssxsssssssssssssssxsxsss [ 65%]
sxsxxssssssss.xssssxssssssssssssx.ssssss.ssssxsssxssssxsssssssssxxx.ssss [ 65%]
ssssssssss.xxsssxsssxssxsssssssssssxsssxssxxssx.sssssxsssssssssxsssss..s. [ 65%]
ssssssssssssssssssssssssx.sssssssssssxssxssssssssssssssssssxsssssssxssxss [ 65%]
ssxssssxssssssss.ssssssssssssxsxsssssxsssssss.sxssxsxssssssssssssx..xs.s [ 65%]
sxs.xxsssxxxsxssxsxs.xsxsssx.sssxsxxsssxxsssxs.xsssssxsssxssxssssxsssxxs [ 65%]
ssssssssssxsssxsssssssxssssssss.ssxxxssssxssssxsssss.xssssssxxssx.ssx.ss [ 66%]
ssssssss.sxssssxssxx.s.ssxsssssssssssssxsssssxssss.sssxssxsxssssxxssssss [ 66%]
ssssxssssxssxs.xsssssssx.sssss.xsssxsxsssxs...ssxxss.sxsxxsssxsssxssssss [ 66%]
xsssssssxsxs.sssssssss.ssssssss..ssxxssxsssssssssss.sssssxssssssssssssxs [ 66%]
sssssssssssssxss.ssss.xsxssss..sssssssssssssssxss.ssxssssxs..sxxssssss.x [ 66%]
sssssssssssssssssssssssssssssssxsssssssssxxxssssxsxxxsssss.s.sssssssssxx [ 66%]
ss.xsxxsssxsssssx.xxxxxxsssssxssssxssxssssxxsss.sss.xxssxsssssss.xssssxx [ 66%]
.sssssssssssssxssxxssss.ssssssssssssxsssxsssxsssssss.xxssssssssssxssssss [ 67%]
ssssssssssssssssxssssssssxsssxxsssssss.ssssssssxsssssssssxsssssxssxssss. [ 67%]
ssssxsxxssss.sssxssssxxxxx.xsssssxssssssssxs.xsssssxssssssssssssssxsx.ss [ 67%]
sxsssssssss.ssssxsss.ssssssssssxsssssssxssssssxxsssssssssssssssssssssxss [ 67%]
ssssxsssssssssssssssxsssssssssssssssssssssssxsxssxssss.s.xs.xsssxs.sssss [ 67%]
ssssssssssxs.sssssssssssssssssssssssxssss.sssssss.ssss.ss.xxxsssssssssss [ 67%]
s.sssssss.sssssxxssssssssssssxsssssssss.ss.ssssx.ssssssxxsssssssssssssss [ 67%]
xxssssxsssssss.s.ssssxsss.sssssssx.sssxsssxxssxsss.sxsssssssxss.ssssssssx [ 68%]
sssssssxsssssssxxsxxssssss.ssxsssssssssxssssss.ssssssssxsssssssssssssxsx [ 68%]
ssssssssssssssssssxxsssssssssxsxsssssssxsssxssxxssssssssssssssssxxssssss [ 68%]
ssxxssssxssssssssssxsssssss.ssssssxssssxssxxssssssxsssxsxsssx.x.xxx.xsss [ 68%]
s.sssssss.ssxsssssssssssssssssssssssssssssssssssssssssxsxssssssssssssssx [ 68%]
xssssssssssssxssssxssssxsssssssssssssxss.ssssssssss.xssssxssssssssssssss [ 68%]
sssxssssssssssssssxsssss..sssxssssssssssssxssssssssxxssssssssssxssxsssss [ 68%]
ssssssxsssxssss.sssxssssssxssssssssxsxsssss.sssssssssssxss.sssxxsss.ssss [ 69%]
sssssssxssssssssssssssxssssxxssssssssxssssssssssxxxssssssssssxssssssxxss [ 69%]
sssxssssssssssssssssssssssxsxssssssssssxssxssssssssxssssssssssxxssssssss [ 69%]
sxsssssxssss.ssssssssssxxssxss.ssxsssssss.ssssxssxsssssssssss.sssxssssss [ 69%]
ssssssssssxsssssssssssssssssxsssssssss.ssssssssssssssssssssssssssssssssss [ 69%]
sxssssxs.ssssssssxsssxxs.sxsss.xssssssssssssssssxss.ssssssssssxsxssx.sss [ 69%]
ss.sxsssss.xsxsssssssssss.sxsssxsxsssss.ssssxsxsxxsssss.ssxxsssssxx..sss [ 69%]
ssss.xssxssxxxxxsss..xssxsssssssssssxx..ssssssssss.sssxxsxs.ssssssxssxss [ 70%]
ss.sssssssss.sssssxsxssssss..sssss..sxs.ssssxsxssxssssx.xx.xxxxssss.xxxx [ 70%]
sxsssssss.xsxssss.sxsxxsxs.sxxsssssxx.sxss.sx.ssxsssssssxxsssxsx.sxxsss. [ 70%]
ssssx.ssssssxsxssssx.ssxssssssssxsssxxsssssssssssxsxssxxsssss.ss.sssssxs [ 70%]
ssssssssssssxsssxsssssss.s.sssxsssssssss.ssx.sxssssssssxssxxsssssssss.ss [ 70%]
s.ssxxss.sssss.ssssxsss.ssssssxssssxsxssss.sssxssxs.xssssssssssssssssxss [ 70%]
ssssxxss..sssxsss..xsssssxssssssssxssx..ssxsssssxssssssssssssssssssxssss [ 70%]
ssssxxxxsssssxxsssss.ssssxssxsssss.x.ssx.xss.xsssxssssssssxss.ssssssxxxs [ 71%]
xsssssssssssssssssxxxssssxsxxxxs..ssssssssssxssssxssxssxsssssssssxxss.ss [ 71%]
sssssss..xssssssssxssssx.ssssxssss..ssxx.xssssss..xxxxsssxsxxxxxxxx.x.xx [ 71%]
sss..xxsxxxxxxxsssssxxxssssssxxxxs.xsxxssssssxsxxsxsxsssssssssssss.sssxx [ 71%]
xxxssxsxxx.ssssxsxxxxxsss.xssxsxxssxxxsssssssssssxxxxxssssssssssssssssss [ 71%]
ssssssxssssss.xssssssssssssssxsssss.sssxxxxsssssssssssssssssssssssssssxs [ 71%]
ssssssssssssssssssssxxsssssssssssssxssssssssssssssssxssssssss..sssssssss [ 71%]
ssssssxsssssssxssssssssssssssssssxsssssssssssssssssssssssssssssssssssxss [ 72%]
sssssxsssssssssssssssssxxsssssssssssxsxs.sssssssssssssssssssssxsssssssss [ 72%]
sssssssssssssssss.ssssssssssssssssssssssssssss.xssssssssssssxsssssssssss [ 72%]
.ssssssss.sssssssssssssssssssssssxsssssssssssssssssssxssssxsssssssssssss [ 72%]
ssssssssssssssss.ssssss.xssxssssssssssssssssssssssxsxs.ssxsxssxssssssxsx [ 72%]
ssxsssssssssssssssxssssssxssssss.ssss.ssss.xxx.xxxsssssssssssssxssssssss [ 72%]
sssssssssssssxs..xsssssxxsssssssxss.sssssxsssssssssssssssssssssssssssssss [ 73%]
sssxsxsssssssssssssssssxsssssssssssssssxsssssssssssssssssssssxssssssssss [ 73%]
sssssssxsxsssssssssssssssss.sssssssssssxssssssxsssssssssssssssssssssssss [ 73%]
ssssssssssssssssssssssss.ssxxsssssssssssssssssssssssssssssxsxsssssssssxs [ 73%]
sssssss.sssssssssssssssss.ssss.ssssssxsssxsssxxxxxsssssssssssssss.ssssss [ 73%]
sss.sssssssss.x.ssxs.sssssssssssssssssssssssssssssssssss.ssss.ssssssssss [ 73%]
sssssss.sssssssxxssssssssssssssssssssxsssss.ssssssssssssssssssssssssssss [ 73%]
ssssssssssssssssssssssss.sssssssssssssssssssss.sssssss.sssss.xxxsssxssxs [ 74%]
sssssssssss.ssssssxsssssss.ssssssssssssssxsssssssssss.ss.ssss.ssxssxssss [ 74%]
sss.s.ssxss.sxsssssssssxsss.ssxx.xx.sxsssssssss.sssssssss.sssss.sxssssss [ 74%]
ssssssssssssssssssssxs.sssssssssssssssssssssssssssssssssssssssssssssss.s [ 74%]
sxsssssssxsssss.ss.sssssssssssssssssssssssssssssssssssssss.sssssssssssss [ 74%]
sssssssssssxsssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssss [ 74%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 74%]
ssssssssssssssssxsssssssssss.sssssssssssxsssssssssssssssssssssssssssssss [ 75%]
sssssssssxssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 75%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 75%]
ssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssxsssss [ 75%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 75%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 75%]
ssssssssssssssssssssssssssssssssssssxsss.sssssssssssssssssssssssssssssss [ 75%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 76%]
sssssssssssssssssssssssssssssssssssssssssssssssx.sssssssssssssssssssssss [ 76%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 76%]
ssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssssssssss [ 76%]
s.ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 76%]
sssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssss [ 76%]
sssssssssssssssssssssssssssssssssssssss.x..xx.xxxxssss.xxxxxxxxxxx..xxss [ 76%]
ss.xxxxx.ssss.xxxxxxxxxxx..ssss.xxxxxxx.xxx.xxssss.x.xxxxxxxxxxxssss.sss [ 77%]
sssssssssssssssssssssssxss.sssxsssxxsssxssssxssssss.xsssssssxssxsssxxsss [ 77%]
x.sssxsssxxsssssxsxxsssxxsssxxsssxssssxs.ssxsxsxxsssxxsssxssxxxxxx.xsssx [ 77%]
.xxx.xxxxssss.ssss.sssssssssssxssssxs.xsxsxsxsssssssss.sxsxsxssxsxxssssx [ 77%]
xsssss.ssssss.sxsxsxxsssss.ssxsxssxsx.xxxxxxxxxxxxxxssss.xxssss.xxx.xx.. [ 77%]
..xx..xxxxxxxxxxxxxsssssssssssxsssssssssssssss.ssssxss.sxssxsxxsssxxssxxs [ 77%]
sxxsxsssxxssxsxxssssxs.sssx.xsssxssxxs.sssxsssssssssssssssssssssssssssss [ 77%]
sssssxssssssssssssssssssssssssssssxssxsxsssxsssxssssxssssss.sssssxsxsxss [ 78%]
ssxsxssxsxsxsxsxssxssxsssssssxsss.xssssssssssssssssssssssssssxssxsxxssss [ 78%]
sssss.ssxsxssssssssxssssssssssssssssssssssssssssssssssssssss.sssssssssss [ 78%]
sssssxssssxss.sxsxxsssxsxssxsssssssxssssssssssssssssssssssssssssssssssss [ 78%]
sssssss.xsssssxssxsssssssxsxsssssss.ssssssxssssssssssssssssssssssxssss.ss [ 78%]
sssssssssxssssssssxssssxssssssssssssssssssssssssssssssssssss.ssssssssssss [ 78%]
ssssssssssssssssss.ssxsssssxsssssssssssssss.sssssssssssxsssxsssssxssssss [ 78%]
ssssssssssxssssssssssssssssssssssssssssssssssss.sssssssxssxsssssxssxssxs [ 79%]
ssssssssssssssssssssssssssssssssssssssssssssssss.ssxssss.xxxssssssssssss [ 79%]
sssss.sssxssssssssssssssssssssxssssssssssss.sssxssssxs..sssssssssssxssss [ 79%]
sssssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssssssss [ 79%]
ssssssssssssssssssssssx.ssssss.ssssssssssxsssss.sssssssssssssssssssssxss [ 79%]
sssssssssssssssssssssssss.sssssssssxssssssssssssssssssssssssssssxsssssss [ 79%]
sssssxssssssssssssssssssssssssssssss.sssssxsssssssssssssssssssssssssssss [ 80%]
ssssssssssssssssssssssssss.ssssssssssssss.ssssssssssssssssssssssssssssss [ 80%]
sssssssssssssssssxssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 80%]
ssssxssssssssssssssssssssssssssssssssssssssssssxssssssssssssssssssssssss [ 80%]
ssssssssssssssssssssxssssssssssssssssssssssssssxsssssssssssssssssssssssss [ 80%]
ssssssssssssssssssssssssssssssssssssss.sssssssssssssssssss.ssssssssssssss [ 80%]
ssssxsssssssxssssssxssssxsssssssssssssssssssssssssssssssssssssssssssssss [ 80%]
sssxsssssssssssssssssssssssssxsssssssssssssssssssssssssxs.sssssss.ssssss [ 81%]
ssssssxsssssssssssssssssssssssssssssssxsssssssssssssssssssssssssssssssss [ 81%]
ssssssssssssssssssssssss.ssssssssssssssssssssss.ssssssssssssssssssss.sss [ 81%]
sssssss.sssssssssssssssssssssssxsssssxssssssssssssssssssssssssssssssss.s [ 81%]
sss.sssssssssssssxssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 81%]
ssssssss.xssssssssssssssssssssssssssxssssssssss.ssssssssssssssssssxs.sss [ 81%]
ssssssssssss.ssssssssssssssssxsssssssssssssssssxssxsssssssssssssssssssss [ 81%]
s.sssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssxsssssss [ 82%]
sss.sssssssssssssssssssssssssssxsssssssssssxsssssssssssssssssssssss.ssss [ 82%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 82%]
ssssssssssssssssssssssssssssss.ssssssxsssxssxssxsxssxs.sssssssssssssssss [ 82%]
ssssssssssss.ssx.sssxsssxss..xssssxxssxxsssss.sxsxsssxxsssssxss.sss.sxsss [ 82%]
sssss.ss.sxxxx.xssssssssssssssssssssssssssssxssxsxxxsssssxs..xxxxsssssss [ 83%]
sssssssssssssxxssssssxsxsssssxsxssxssxsxsssssxssssss.sssssssssss.ssssssss [ 83%]
ssssssssssssssssssssssssssssxsssssssssssxxsxsxsxss.sxxssxsxsxxsxsx.ssss. [ 83%]
sssssssssssssssxssssssssssssxxssssssssxssssxsssssxssssxsxsssss.ssssssxxs [ 83%]
ssxssssxssxxssxssxsssssssxssxssxs.sssss.ssssxsxssxssssss.sssssxssxsxsx.x [ 83%]
xxsssxxxs.xxxssss..xxxxxxxsssssssssssssssssssssxsssssssssssxssssxsssxxxs [ 83%]
ssssxxsssxssxsssssxssxsss.xssxssxsssss.ssssssxxxssss.ssss.x..xxxxxxx.xxx [ 83%]
xxx.xxx.x.xx.xxxxxxxssss.xssssssssssssssssxsssssssxsxsssssssssxsssxsssxx [ 84%]
sssxssxsxsssxxsssxssxsxssxssssssssssssxsssssssxxxssss.xssss.xxxxx.xxxx.x [ 84%]
ssss.ssss.xxxxx.xxxxxxxxxxxxsssssssssss.xxssss.xxssss.ss.sssssssssssssss [ 84%]
ss.xss.sxssxssx.sssssss.ssxxssxsxssssss.ssss.xxssss.xx.xxxxx.ssss..xxxss [ 84%]
ssssssssssssssssssssssssssxsssssxsssssss.sxssssssssssxsssss.sssss.ssssss [ 84%]
ss.ssssss..sssssssssssxxx.xxx.x.xxxxxxxxxxx.ss.ss.ssss.x.ssss.ssss.xssss [ 84%]
.x.ssss.ssss.xxxx.xxxssssxxxx.xx.xxx.xssssssssss..sxsssssss.sssssss.xsxs [ 84%]
sss.sxxxssssssss.ss.sxsxxssxxs.sxxsx.sssxsxxxxxxxxxxx.xssss.xxxxx.xxxxxs [ 85%]
sss.x.x.xxxxxxssssssssssssxssxsssssssssxssssxss.sssxssssssxsssxssxsxssxs [ 85%]
sxsssxsssssssssssssssssssssssssssssss.ssssxsssssssssssssssssssssssssssss [ 85%]
ssx.sssssssssssssssssssssssssssssxsssss.xssssssssssssssssssssxxssxssxsxs [ 85%]
ssssssssssssssssxssssssssss.sssssxsxssxsssssssssssssssssxsxssxssssssssxs [ 85%]
ssssssssssssssssssxsssssssssssssssssssssssssxsssssssssxsssssssssssssssss [ 85%]
sssssssssssssssssssssssssssssssxsssssssssxssssxssssssssssssssxssssssssxs [ 85%]
ssxxssssssssxsssssssssssssssssssssxsssssssssssssssssssssssssssssssxssxss [ 86%]
ssssssssssssssssxssssssssssssssxssssssssssssssssssssssssssssssssssssssss [ 86%]
ssssssssssssssssss.ssssxssssxsssssssssssssssssssssssssxssssssssxssssssss [ 86%]
ssssssxsssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssxxss [ 86%]
ssssssssssssssssssssssssssssssssssssssssssssxssssssxsssssssssssxssssssss [ 86%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssxsssssssssss.s [ 86%]
sssssxssssssssssssssssssssssssssssssssxsssssssssssssssssssssssssssssssss [ 87%]
sssssssxsssssssssssssssssssssxssssssssssssssssssssssssssssssssssssssssss [ 87%]
sssssssssssssssssssssssxssssssssssssxsssssssssssssssssssssssssssssssssss [ 87%]
ssssssssssssssssssssssxsssssssssssssssss.xssxssss.ssxssxssssssssssssssss [ 87%]
ssssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssssssxs [ 87%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 87%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 88%]
sssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 88%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssss [ 88%]
sssssssssssssssssssssssssssssssssssssssssssssssssssxssssssxss.ssss.xssss [ 88%]
ssssssssssssssxsxxxsxxxssxsxssssxsxxssxsxsxxsxxxxsxssssss.ssss.xxssss..x [ 88%]
.xxxxxxxxx.xxxxxxxssss.xssssxx..xssss.xxxxx.xxx.xxxxsssss.sss.xssxss.xxs [ 88%]
sss.xssss.sssssxxssss..x.xx.xsssssssss.sxsssssssssssssssssssssssssssxxss [ 88%]
ssssssssssssssssssxssxssxssxsssxxssssssssssss.xsxxs.xsxsxsssxssxsxssssss [ 89%]
s.s.xssxsxssxsx..xx.xxxx.ssss.xxx.xssss.xxx.ssss..ssss..x.ssss.xxxxxssss [ 89%]
xx.x.sssssssssssssssssxxs.xsxxxxsssxsx.ssssssssss.ssxxxxxsssssssssssssss [ 89%]
sssss.ssssssss.sss.sssssssssssssssssxssxsssssssss.ssssssssssssssssssssss [ 89%]
sss.sssssssssssssxsxsxxsss.x..ssss.xx...xxxxssss.x.xxxxxxsssssssssssssss [ 89%]
sssxsxsssssss..sxsss.sssssssss.sss.sssssssssssxsss.xxsxsxxxxsxsxxsx.s.xs. [ 89%]
ssxsxsxsxx.sxxssx.ss.xsxxsss.xsxsx.sxsxxs.xssxsxssssssxsxsssxsxsxsssss.s [ 89%]
.xssss.xxx.xxxxxxxxxxxxxxxxxxssss.xxxx.xxxxxx.xxx.xxxxxssss.xxxxxxxxxxxx [ 90%]
sss..xs.ssssssssssssssssssssssssssxsssssss.ssss.xssssxssssxsxsssssxssxss [ 90%]
xssxsss.sssxxxxxxxxxxxxxxxxx.xxxssss.xxssss.sssssssssssssssssss.xxxxxx.s [ 90%]
sss.xxxxssss.xxxxssss.xxssss.xxxxxx.xxxxxsssssssxxx..xx.xxxxxxxxxx.ssssx [ 90%]
xxssss.xxxx.xxx.xxxssss.xxxxxxxxxx.xxxxx.xxxssss.ssssssxssssxxssss.xx.xs [ 90%]
ssssssssssssssssxssxsssssssss.xxxxxxxxxx.xxxssss.xxssss.xssss.x..xxxxsss [ 90%]
sssss.xxxx.xs.xssssssx..s.sssxxx.xxssss.xxssss.xxxxxxxxx.ssss.xxxxx.xxxx [ 90%]
.ssss.xxxxssss.ssss.ssss..ssss.xx.xxssssxssssxssssx.ssssxx.x.ssss.xxxxxx [ 91%]
.xxxxssssxssssxsssssxssssssss.sssssss.x.xxssssx.xxxssssssssxssssssssssxs [ 91%]
ssxssssss.sssss.ssss.s.ssxss.ssxsxsssssxssxsssssssssssssssssssssssssssss [ 91%]
sssxssssssssssssssssxssssssssssssssssxssssssssssssssssssssssssssssssssss [ 91%]
sssssssssssxssssssssssssssssssssssssssssss.sxssssss.sss.sssssssssssssssx [ 91%]
ssssssxssssssssxsssssssssssssxssssssssssssssssssssssssssssss.sssssxsssss [ 91%]
sssssssxsssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssss [ 91%]
ssssxssssssssxsxsssssssssssssssss.sssssssssxssssssssssxsssssssssxsxsssxs [ 92%]
xsssssssssssssssssssssssssssssssssssssssssssssssssssssssssxxssssssssssss [ 92%]
ssxssssssssssssssssssssssssssssssxsssssssss.ssssssssssssxsssssssssssssss [ 92%]
sssssssssssssssssssssssssssssssssssssxssssssssss.xssssssssssssssssssssss [ 92%]
sssssssssssssssssssssssss.ssssssssssssssxsssssssssssssssssssssssssssssss [ 92%]
ss.sxssxsxsssssxs.ssssssssxssssssssssssxsssssssxssssssssssssssssssssssss [ 92%]
sssssssxssssssssssssssssssssssssssssssssxsssssssssssssssssssssssssssssss [ 92%]
ssssssssssssx.sssxxx.x..xxxxxxssssssssssssxsssssss.s.xxssss.xssss.xxx.xx [ 93%]
xsxsxxx.xssss.xx.xxxxssss..xxxxxxssssx.xxx.xx.xssss.xssss.ssss.sssssssss [ 93%]
ssxssxs.xxxx.xxxxxxxx.x..xxxxxx.ssss.xxxx.xx.x.xxxxxxxxx.xxxxxx.x.xxxx.x [ 93%]
.xxxxssss..xx.xsxssxs..xxssss..xxxsssssssssssssssssss.sssssssxxsssssssss [ 93%]
ssssssss.s.sxxxsssss.xxxxxxx..xxx.xxxxx...xx.xxssssx.xx..xxssssxx.x.ssss [ 93%]
..sssssssss..sssssxxxxx.xxxxxxxx.xxxxx.xx..xx.xxx..xxx.xssss.sssssss.ssxs [ 93%]
ssxsxxssssxssss.sx.ssssx.xssssssssss.s..sx.xxssss.ssss.xxxxxssss..x.xx.. [ 94%]
s.ssssssssxsssssssx.x.xxs..xxxssss.sss..s....ssss..sxsss..ssssx..ssss... [ 94%]
.xxxx..xssss.sssssss.sss.sssx...x..x.xxssss...xsxsss.........xx...xxx.xx [ 94%]
x..s.sss...xxxxxx.x.x.xx..x.xxxxx...x.ssss..xssssxxxx.xx..x.xxxx.ssssx.. [ 94%]
..xsx.x.xx.xxx.xssss..sxss.x.s.ss.ss.xxxxxxx...ssss.xsssssssssssss.s..xx [ 94%]
.s.xxxssssx.xx....xssss.xxx.x.xx.x.....xx..xxxx...xxx.xx...x..xx.xxxx.xs [ 94%]
s.ssssx.ssssx..x.x.sssx.xx...ssssssxss.x.ssss....xss.s.sx..s..s.ss..x..x. [ 94%]
.x.x...x..x...x..xx......x.....x...x..x.....x.....x.x.....xx...x.....x.. [ 95%]
......xx.xx...xxxx...x..x.x.x...xx..xx..x....xxx..x..x..x...x..x..x....x [ 95%]
x...xs.ss.s.x....x.ss.s.sxx...x..x....x...x..x..xx............x.x....xx.. [ 95%]
.............x.......xxss.ss....x.sxss..sx.......x...x.sss.s.x..xss..x... [ 95%]
...x...xssxxs.s.....xxx...xx..sss.s....x.......xxss.ss....x............. [ 95%]
..........x...x..........................x....ss.s.x.s................x. [ 95%]
x................x.....x.............x........x.....xs..s.s.s........... [ 95%]
................................................x.x..........xx...x.ss.s [ 96%]
.s..x..............x........x..x.ssss.....xxssss.s..s..ss............... [ 96%]
....x.................x................................................. [ 96%]
.............................x...........x..........x.................... [ 96%]
......x.......x.....x.....x....x.....x............x.............x......... [ 96%]
...............x........x............................................... [ 96%]
........................x..x..........................x.ss.............. [ 96%]
........................................x............................... [ 97%]
................x...ss.ss............................................... [ 97%]
........................................................................ [ 97%]
...............................x........................................ [ 97%]
.............................x.........................x................ [ 97%]
...........x............................................................ [ 97%]
........................................................................ [ 97%]
......................................................................... [ 98%]
......................................................................... [ 98%]
.......x...............x.x......xx......x.......xx..x..............x.... [ 98%]
.........x..ss.......ss.sss.........ss....ss.s...............s.......... [ 98%]
...........s.s.ssssssssssss.ss.ssss..ssss.ss.s..ss.s.s...sssss..ss...sss [ 98%]
....sss.............................s........................s.......s.. [ 98%]
...........s...............................................s.......s...s [ 98%]
........ss......ss......s.s..........s..s..s.........ss.sss.s.........ss [ 99%]
.sss.sssss....ss.s......ss...ss....x.s..sx..............s....s.s...s..... [ 99%]
.s..s..........................sss.ss.s..sss..s..s.ss.s......s..s.s..ss.ss [ 99%]
...s.s.s.s......s............s................s......s.s.s...s.......... [ 99%]
..ss....s...s....................s....s............................x..... [ 99%]
.xx...x...................................................s............. [ 99%]
.........................................ssssssssssssssssssssssssssssss. [ 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
=================================== FAILURES ===================================
___________ test___setitem___non_hashable[str_index-list_of_labels] ____________
[gw0] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
___________ test___setitem___non_hashable[int_index-list_of_labels] ____________
[gw8] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
____________ test___setitem___non_hashable[str_index-boolean_mask] _____________
[gw6] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 800, in _compute_enlarge_labels
raise KeyError(
KeyError: "None of [[False, True, False, True, False]] are in the [Index(['a', 'b', 'c', 'd', 'e'], dtype='object')]"
____________ test___setitem___non_hashable[int_index-boolean_mask] _____________
[gw9] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[0] not in index'
______________________ test_loc_iter_assignment[0-False] _______________________
[gw47] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
______________________________ test_loc[int_data] ______________________________
[gw42] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
___________________________ test_loc[float_nan_data] ___________________________
[gw43] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
_______________________ test_loc_iter_assignment[0-True] _______________________
[gw2] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
---------- coverage: platform linux, python 3.8.12-final-0 -----------
Coverage XML written to file coverage.xml
=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-boolean_mask]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-boolean_mask]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-False]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[int_data] - Typ...
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[float_nan_data]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-True]
= 8 failed, 8869 passed, 37321 skipped, 3276 xfailed, 21831 warnings in 317.15s (0:05:17) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
<b>Remaining output truncated<b>
Thanks @RehanSD, this looks like it would fix the issue. Can you add a test?
Thank you @devin-petersohn! I'm running into an issue where the dtypes get changed doing this, so once I figure that out, I'll be sure to add some tests!
TeamCity Dask test results bot
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sssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ss [ 25%]
ssssssssssss.ssssssssssssssssssssss.sssssssssssss.sssssssss.ssssssssssss [ 25%]
sss.ss..s.sss.s...ssssssss.sssssssss.ssssss..sssss.ssssssssss.sssss.s.ss [ 26%]
ssssssssssssssssssss.sssss.ss.sssssssssssssssssssssssssssss.ssssssss.sss [ 26%]
.s..ss.ssssss.ssssss.ssssss.sssssssss.ssssssssssss.sssssssssssssssss.s.s [ 26%]
ssssssssss.ss.sssssssss.ssssssssssss.ssss.ssssssssssssssssssssssssssssss [ 26%]
sssssssssssss..ssssssssssssss.ssssssss.ssssssssssssss.s.ssss.s.sssssssss [ 26%]
ssss.sss.s.sssssss.sssssssssssssssssssssss.sssssssssssssssssss.sssssssss [ 26%]
ssss.sssssssssssssssssssssssssssssssssss.ssss.sssssss.sssssssssss.ssssss [ 27%]
s.sssssssssssss.ssssssssssssssssss.sssssss.s.sss.sssss.sss.sssssssssssss [ 27%]
sssss.ssssssssssssssssssssssssssssssss..ssss.sssssss.ssssss.s.ssssss.ss.s [ 27%]
sssssss.sssssss.ssssssssssssssss.sss.ssssssssssssssssss.ssssssssssssssss [ 27%]
sssssss.ssssssssssssssssssssssss.ssssssssssssssssssss.ssssssssssss.ssssss [ 27%]
sss.ssss.s.sssssssssssssssssssssssssssssss.ssss.ssss.ssssssssss.s.ssssss [ 27%]
sssssss.ssssssss..ssssssssss.s.sssssssss.s.ssssssss.ssssss..ssssssss.sss [ 27%]
sssss.sssssssssssssssssssss.ssssssssssss.ssss.ssss.ssss.ssssssssss.ssss. [ 28%]
.ssss.sssssssssss.ssssssssssssssssssssssssssssssss.sssssssssssssssssssss. [ 28%]
ssssssssssssssssssssss.sssssss.ssssss.sssssssssssssss.ssssssssssssssss.s [ 28%]
sssssss.ssssssssssssssss.ss.ssssss.ssssssssssssssssssssssss.ss.sssssssss [ 28%]
ssss.sssssssss.sssssssssssss.sssssss.s.ssssssssss.sssssssssssssss...s.ss [ 28%]
sssssssssssssssss.sssssss..ssssssssssssssssssssss..sss.ss.ssssssssssssss [ 28%]
ss.ss.ssssssssssssssssssssssssss.s.sssssssssssssss.ssssssss.sssssss.ssss [ 28%]
ssssssssssss.ssssssss..sssssssssssssssss.ssss.ssssssssssssssssssssssssss [ 29%]
ssssssssssssssssssssssss.sssssssssssssssss.ssssssss.sssssssssssssss.ssss [ 29%]
ssssssssssssssssssssssssss.sssssssssssssssssssss.ssss..sssss.sssssssssss [ 29%]
sssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 29%]
sssss.ssssss.ssssssssss.sssss.ssssss.ssssssssssssssssssssssss....sssss.. [ 29%]
s.s...x.......s.sssss...ss.s.sss.sssssss.ssss.sss.s.ssss.ssss.ss.ss.ssss [ 29%]
ssssss.ssssss.sssssss.sssssssss.s.s.ssssss.sss.ssss.ssssss.sssss.sssss.s [ 29%]
sss.s.ssss.ssxss.sss.sss.ssss.ssss.ssss.s.s.ssxssssssssssssssssss.ss.sss [ 30%]
ssssssssss.ss.sss.ssssssssssssssssssssssss.sssss.sssssssssssss...ss.ssss [ 30%]
sssssssssssssss.sss...s...s.s.....s.s......s.s......sssss....sss.sssss.s [ 30%]
sssssssssssss.ssssssssssssssss.sssssssssssssss.ssssssssssssssss.ssssssss [ 30%]
..sssssssss.sss.sssssss.ssss..ss.x.s...ssx...ss.sss...sssss.ssssssssssss [ 30%]
s.s.sssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssss [ 30%]
ssssssssssssss.sssssssssssssss.ssssssssssssss.ssssssss...sssss.s..ssss.s [ 30%]
s.ss.sssss..ssss.ssss.ss.s.s.....s.......s.ssss....ss.ssssssss.s.sssssss [ 31%]
sss.ssss.sssssssssss.sssssssssss.ssss.s.ssssssssssssss..sssssssssssssss. [ 31%]
s.ssssssssssss.sss...ss..ssssss...s.s.x..x...ss.....sss.ss.........s...s [ 31%]
.sx....s....s....sx...s...ssssssss.ssssss.ssssssss.s.sssssssssssssssssss [ 31%]
s.sss.sssss.sssssssssssssssssssssss.ss.ss.sssss.ssssssss...s.s...s.s.... [ 31%]
s.s.x...s...ssxsssss.ssssssssssssss.s..x.....sss.sssss.ss.s.sssssss.s.ss [ 31%]
xsssssssssssss.sssss.ssssssssssssssss.s.ss.ssssssss.ssssssssssssssssss.s [ 31%]
ssss.ssssssssssssxssss..s.sssssssssssssss.ssssssssssssssssssssssssssssss [ 32%]
sssssssssss.ssss.sssss.sssssssssssssssssssssssssssssssss.ss.ssssssss.ss.s [ 32%]
sssssss.ssssssssssssss..sssss..sssss.ssss.ssssssssssssssssssss.ss.sssssss [ 32%]
ssssss.ssssssssssssssssssssss.ssssss.sss.ss.sssssss.sssssssss.s.sss.ssss [ 32%]
.ssss..ss.ssssssssssssssssssssssss.ssssss..sss.s.sss.s.sssss.ssss.ss.sss [ 32%]
ssssssssssssssssssssssss.ssssssss.s.sssssssssss.sssssssssssssss.ssssssss [ 32%]
ss.sssssss..ssssssssssssss.sssssssssssss.ssssss.ssssssss.s.sssssssssssss [ 32%]
sssssssssssssssss.ssssssssssssssssssssssss.sssssssssssssssxss..ssssssss.s [ 33%]
ss.sssssssssssssssssssss.sss.s.sssss.s.sssss.ss.sssssss.sssssssss.s.sss. [ 33%]
ssssxssssssssssssss.ssssss.sssss.sssss.ssssssssss.sssssss.ssssssssssss.s [ 33%]
sssssssssssssssssssssssss.ssssssssssssx.ssssssssssssssssss.sssssssssssss [ 33%]
ss.sssssssxsssssssssssssssssssssssssssssssssss.ss.ssssssssssssssssssssss [ 33%]
sss.ssss.ssssssssssssssssssssssss.sss.sss.sssssssssssssssssssssssssss.ss [ 33%]
ss.ssss.ssssssx.ssssssssssssssssssssssssssssssssssssss.sss.sss.sssss.sss [ 34%]
ssssssssss.s..ssss.sss.ssssssssssssss.sssss.sssssss.ss.ssssss.ss.s..s... [ 34%]
..s.ssss.s...................s......s.ss.ssss.sssssssssssssss.......s...s [ 34%]
...ssx....s..s.....s..s....s..s.ssss.ss.sssss.ssss.sssss.sss.s.ss.ssss.s [ 34%]
sssssssssss.ss.s.sss.sssssssssss.sssssssss.sssssssssss.sssssssss.s.ss.sss [ 34%]
sssss.ssssss.sssssssss.sss.ssssssxs.ssssssssssssssssxssssssssss.sssssssss [ 34%]
sssss.ssssss.sssssss.ssssssssssssssss.sssssssssssssssssxs.sssss.ssssssss [ 34%]
ssssssssssssss.sssssssssssssss.ss.sssssssssssssssssss.ss.s..sssssss.ssss [ 35%]
sssssss...sssss.ssssss.ss.ssssssssxs.sss.ssssss.s.ssssss.ssss.ssssssssss [ 35%]
sssssssssssss.sssss.ssssssssssssssssssss.sss.ss.ssssssssssssssssssss.... [ 35%]
sxsssssssss.ssssssss.sssssssssss.sssssssssssssssssss.ssssssssssssssss.ss [ 35%]
sssssssssssssssssssssssss.ssssssssssssssssssss.sssssssss.s.sssssssx.sssss [ 35%]
sssssssssssssssssss.ss.sssssssssssssssssss.ssssssssssss.ss..ss...sssssss [ 35%]
sssssssss.ssssssss.ss.sssss.sssssssssssssssssssssssssssss.ssssssssssssss [ 35%]
ssssssx..ssssss.s..s.sssssss....x.s.sxs..s.ssss...s..s.sss.sssssss.sssss [ 36%]
sxssssssssssssssss.sssssssssss.ssssssssssssss..ssssssssssss.ssssssssssss [ 36%]
ssssss..ssssssssssssssssssssssssss..sssssssssss.ssssssssssss.s..ss.s.sss [ 36%]
sss.s.sssssssssss.ssssss.ssssssssxx....x......x....s..ss.s.ssss..s...... [ 36%]
..s.ss.x...s.ss.sss.s.sss.sss.sssss.ssssss......x..s..........x.sss..ss. [ 36%]
sssssss.ssssx.sssssssssssssxsssssssssssssssssssss.sssssssssssss.ssssss.s [ 36%]
ssssssssssxsssssssssssss.sss.s..sssssssssssss.sssxss.sssss.ssssssss.ssss [ 36%]
s.ssssssssssss.sssss.ssssss.s.sssss.sssss.ssssssssssssssssssssssssssssxss [ 37%]
ssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssss.s.sssssssssssssssssssssssss.sssss.ssssssss.ssssss [ 37%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 37%]
ssssssssssssssssssssssssss.ssssss..sssssssssssssssssssssssssssssssssssss [ 37%]
sssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssssssssss.sss [ 37%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssss [ 37%]
ssssssssssssssssssssss.ssss.sssssssssssssssssssssssss.sssssssssssssssssss [ 38%]
sssssssssssssss.ssss.ssssssssssxssssssssssssss.sssssssssssssssssssssssss [ 38%]
s.ssssssssss.sssssssssss.sssssssssssssssssssssssssssssssssssssssssssssss [ 38%]
xsssssssss.sssssssssss.sssssssssssssssssssss.sssssssssssssssssssssssss.sss [ 38%]
sss..ssssssssssssss..sssssssssssss.sssssssssssss.sssssssss.ssssss.ssssss [ 38%]
sssssssssssssssss.ssssssss.sssssssssssssssssssssssssssssssssssssssss.sss [ 38%]
ssssssssssssssssssssssssssss.sssssssss.sssssssssssssssssssssssssssssssss [ 38%]
s.ss.ssssss.ssssssssssssssssssssssssssssssssssss.sssssss.ssssssss..ss..ss [ 39%]
ssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssss.sssssssxssss [ 39%]
sssss.sssssssssssssssssssssssssxsssssssssss.ss.ssssssssssssssxsssssssss. [ 39%]
ssssssssssssssssssssssssssssssssxs.ssssssssssss..sssssssssssssssssssssss [ 39%]
ssssssssssssssss.xsssssssssssssssssssssssssss.ssssssssssssssssssssssssss [ 39%]
ssssssssssssssssssssssss.ssssssssssssssssssss.ssssssssssssssssssss.sssss [ 39%]
ssssssssssssssssssssssssssssssssssss.sxsss.ssss.ssssssssssssssssssssssss [ 39%]
sssss.ssssssssssssssssssssssssss.s.s.ssssss.ssssssssssssssssssssssssssss [ 40%]
ssssssssssssssssssss.ssssssssss..ssssss.ssss..ssssssssssssssssssssssssss [ 40%]
sssssssssssssssssss.sssss.sssssss.x......s..sssssss.sssssss.ssssssssssss [ 40%]
ssssssssssssssssss.ssss.ssss.ssssssssssssssssssss.sss.sssssssssssss.ssss [ 40%]
sss.ssssssssssssssssssssssssssssxsssssssssssss.ssssssssssss.ssssss.ss.ss [ 40%]
ss.sssssssssss..ssss..sssssx..x...sssss.ssssssssssssss.ss.sssssssss.ssss [ 40%]
sssss.ssssssssssssssssss.s.sssssssssssssssssssssssssssxsssss.ssssxssssss [ 41%]
sssssss.sss.sssss.sssssssssssxsssssss.sss.sssssssssssssss.ssssss.sssssss [ 41%]
ssssssssssssss.sss.s.sssssssssssssss.ssssssssssssssss.s.ssssss.sss.sssss [ 41%]
sssssssssssssss.sssssssssss.sssssssssssssss..ss.sssss.ssssssssssssssss.s [ 41%]
ssss.sssssssssss.ssssssss.sssssssssssssssssssssssssssssss.sssssss.sssss. [ 41%]
ssss.sssssssssssss.sss.sssss.sssssss.ssssssssssssssssssss.sssssssssss.sss [ 41%]
sssssssssssssss.ssss.ssss.ssss.sssssssss.ssssxssssssss.ssssssssxssssss.ss [ 41%]
sssssssssssssssssss.ssss.ssssssssssssssssssxssssssssssxsssssssssssssssss [ 42%]
sss.sssss.ssssssssss.ssssssssssss.ssss.ssssssss.sssssssssssxsssssss.ssss [ 42%]
ssss.sssssssssssxsssss.ssssssss.sssssssss.ssssssssssssssssssssssssss.sss [ 42%]
sssxssssssssssssssssss.sss.s.sss.sssss.ssssss.ssxsssssssssssssss.sssssss [ 42%]
ssssssssssss.sssssssss.sssssss.ss.ssssss.s.sss.sssssssssxsssssssssssssss [ 42%]
ssssss.s.ssss..sssssssssssssss.sss..sssssssssss.sssss.xsssssssssssssssss [ 42%]
sssssxsssssssssssssssssss.sssssssssssssssssssssssss.ss.ssssss.sss.ssssss [ 42%]
s.sssssss.sssssssss.sssss.ssssssssss.ssssssssssssssxs.ssssssssssssssssss [ 43%]
.ssssssss..sxsssssssss.sxss.ssssss.sss.ssssssssssssss.ssssssssssssssssss [ 43%]
sssss.ssssssssssss.ssssssssssssssssssssssssssssssx.sssss.ssssssssssss.ss [ 43%]
s.sssssssss.ssssssssssssssssss.sssssssss.ssssssssss.ssssssssssssssssssss [ 43%]
sssss.ssssssssssssssxsss.ss.sssssssxsssssssssssssssxssssssssssssssx.sss. [ 43%]
sss.sssssssssssssss.sssss.s.sssssssssssssssssssssssssssssssssssssxssssss [ 43%]
ssssssss.ssssssxsssssssssssssssssssssssssss.ssssssx.ssss..ss.sssssssssss [ 43%]
ssss.sssss.sssssssssssssss.ssssssssssssssssssssss.sss.ssssss.sssssssssss [ 44%]
ssssssss...sssssssssssss.sxssssssssssss.sssssssssxssss.s.sssss.sssssssss [ 44%]
ssssssssssssss.ssssssssss.sssssssssssssssssssssssssssssxssssssssssssssss [ 44%]
ssss.sss.ssssssssssssxssssssssssssssssssss.sssssssssssssssssss.ssss.ssss. [ 44%]
sssssxsssss.ssssssssssxsssssssssssssssssssssss.ssssssssssssssssxs.ssssss [ 44%]
ssssssssssssssssxs.sssssssssssssssss.sssssssssssssss.sssssssssssssssssss [ 44%]
sssssssssssssssssssssssss.ssssssssssssssxssss.ssss.ss.sssss.ssssss.sssssss [ 44%]
sssssssssssssssssssss.ssssssssssssssssss..ssssssssssssssssssss.ssssss.ss [ 45%]
sssssssssssssssssssssssssssssssssssssssssssssxssssssssssssssssssssssssss [ 45%]
.ssssssssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssxs.. [ 45%]
sssssssssssssss.sssssssxxssssssssssssssss.ssssssssxssssssssssssssssssssss [ 45%]
ssssss.sssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssss [ 45%]
sssssssssssssssxssss.sssssssssssssssssssssss.sxsxs.ssssssssssssssx.sssss [ 45%]
ssssssssssss.ssssssssssssssx..x.s.s.....s..s.ssssssxsss.ssssssssssss.s.s [ 45%]
ss.ssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssss [ 46%]
ssssssssssssssssssss..sssss.ssssssssssss.ssssssssssxsssssssssssssssss.ss [ 46%]
ssssssssssssxsssss.ssssssssssssssssssssssssss.sxssssssssssssssssssssssss [ 46%]
ssssssssssssssssssssssssssssssssssssss.ssssssssssssssss.ssssss.sssss.sss [ 46%]
ss.s.ssss.sssssss.s.ssssssssssssssssssss.ssssss.sss.sssxssssssssssssssss [ 46%]
sssssssssss.ss.ssss.sssssssssxssss.x...x..s.sx..sxx..sx....s..ssssssssss [ 46%]
xssssssssssxsss.ssssssss.ss.sssssssssssssssssssss.sssssssssssssss.s.ssss [ 47%]
ssss...ssxsssssssssssssssssssssssssssssssssssssssssxssssssssssssssssssss [ 47%]
ssssssssssssssssssssssssssxs.sssssss.sssssssssssssssssssssssssxsssssssss [ 47%]
sssssssssssssssssssssxssssssssssssssssssssss.sssssssssssssssxsssssssssss [ 47%]
s.ssss.sssssss.ssssssssssssssss.sssssssssssssssssssssssss.ssss..sxss.sss [ 47%]
ssssss.ssssssssss.ssssssxssssss.ssxssssxssss.ssssssssssssss.ssssssssssss [ 47%]
sss.ssssssssssssssss.sssssssssssssssssxssssssssssssss.sss.s.sss.ss.sssss [ 47%]
ss.sss.ssssssxsssssssssssss.sssssssssx.sssssssssssssssssssssssssssssssss [ 48%]
ssssssssssssssssxssxssssssssssssss.sssssss.sssssssssssssssssssssssssssss [ 48%]
sssssssssssssss.ssssssxsssxssssssssssssssssss.ssssssssssss.ssssssss.ssss [ 48%]
ssss.ssssss.ssssssxsssssssssxssx.ssss.sssssss.ssssssssssssssssssssssss.sx [ 48%]
ss.sssssssssssss.s.sssssssssss.sssssssxsssssssssssssssssxsssssssss.sssss [ 48%]
ssssssssssssssssssssssssssssssssssssssssssss.ssxssssssssssssssssssxsssss [ 48%]
ssssssssssssssssssssssssssssssssssssssssssssssss.ss.ssssssssssssssssssss [ 48%]
sssssssssssssssssssssssss.sssssssssssssssssssssssssssss.ssssssssssssssss [ 49%]
ssssssssss.sssssxsss.ssssssssssssssssssssssssssssssssssssss.ssssssssssss [ 49%]
sssssssssssssssssssssssssssssssssssssssssssxssssssssssssssssssssssssss.s [ 49%]
sssssssssssssssssssssxssssssssssssssssssssssss.ssssssssssssssssssss..x.s..x [ 49%]
.x....s.s.s.ss...s.....ssssssssssss..xss.s.sxsss.sssssssssssssss.sssssss [ 49%]
ssssssssssssssssssssssssssssssss.ssssssssssssss.ssssssssssssssssssssssss [ 49%]
sssssss.ssssssssssssxsssssssssssssssssssssssssssssssssssssssssssssss.sss [ 49%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssFsss [ 50%]
ssss.ssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss [ 50%]
sssssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssss. [ 50%]
sssssssssssssssssssssssssssssssssssssssss.ssssssssssssssssss.sss.sssssss [ 50%]
sss.sssssssssssssssss.ssssssss.sssssssssssssssssssssssssssssssssssssssss [ 50%]
sssssssssssssssssssssssssssssssssssssssssssssssssxx..ssss.ssssssssssssss [ 50%]
ssssssssssssssssssssssxssssssss.ssssssssssssssssssssssssssssssssssssssss [ 50%]
sssssssssxssssssssssssssssssssssssssss.ssssssssssssssx.sssssssssssss.sss [ 51%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss..ssssss [ 51%]
sssss.ssssssssssssssssssssssssssssssssxsssssssssssss.s..ssssssssssss.ssss [ 51%]
ssss...s...s.s.x....xs.xs..x.ssss.x.xssssssx.ssssssss.sssssssssssssss.sxs [ 51%]
sss..s.x.s.s.s.x.x.sssss.s....x.s.xs.s.ss..sssssssssss.sxsssssssssss.sss [ 51%]
ssss.sssssssssssssssssssssssssssssxssxssxs.sssssssssssssssssssssssssxsxs [ 51%]
ssssssssssssssssss.sssssssssssssss.sssssssssssssxssssssssssxssssss.sxxs. [ 51%]
.sssss..s..ssx.s..xx.sssss.sx....s....xx..s.x..xx.ssssss.sss...sxxss.sss [ 52%]
x..s.x.xx.s.ss.ssssssss...sss.ss.ssssxssssss.sssssss..x..x...xxx.xx...sx [ 52%]
.sssssssss.sssssssssssss.ssssssssssssxsssss.sssssssssss.ssssssssssssss.s [ 52%]
x...x.xs...s.sx..sssssss..ssssssssssssssssss.ssssxssssssssssssssssss.sss [ 52%]
sssssssssssss.sssssssss.ssssssssssssssssssssss.ssssssssssssssssssssssxss [ 52%]
ssss.s.s.sssssssssss.s..s.sssss...s.x.s...xsxxx.s..s..s.ssssxxxxxxxssss. [ 52%]
sss.ss...sssssssss..ssxsssssssssss.ssssssssssssss.ssssssssss.sssssssssxss [ 52%]
ss.sssssssssssssss.ssssssssssssssssss.ss..ssssssssssxsss.sssssssssssssxs [ 53%]
ssssss.ss.sssssssssssssssssss.sss.ssssx.sx..sxs.sssssxssssssssssssssssss [ 53%]
sssssssssssssssssssssssssssssssssssssss.sssssssssssssxssssssssssssssssss [ 53%]
sssssss.ssxsssssssssssssssssss.sxsssssss.ssssxssssx.s.sss.sssssssss.s.ss [ 53%]
ssxssssssss.ss.sssssssssssssss..sssssssssssssssssssssssssssssss.ssssssss [ 53%]
ssssxs.sssssssssss.sssssssssssssssssssxsssssssssssssssxs.sssssssssssssss [ 53%]
.sssssssssssssssssssxssssssssxssssxssssxsssssssx.ssss.ssssssssssssssssss [ 54%]
ssssssssxssssssssssssss.sssssss.ssssssssssssssssssssxssssssssssssssssssss [ 54%]
xsss.sssssssssssssssssss.ssssssssssssssxsssssssss.ssxsss.ssssssss.ssssss [ 54%]
ssssssssssssssssssssssxssssssssssssssss.ssssssssssssssssssssssssssssssss [ 54%]
ssxssssssssssss.ssss.sssssssssssssssssssssssssssssssss.xssssssssssssssss [ 54%]
ssssxssssssssssssssssssssxssssxsxssssssss.ssssssssssssssssssss.sssssssss [ 54%]
sss.xssssssssssssssssssss.ssssssssssssssssssssssssssssssssssssssssssssss [ 54%]
.sssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssssssss [ 55%]
sssssssssssssxsssssssssxxssss.ssssssssssssssssssssssssssssssssssssssssss [ 55%]
ssssssssssssssssssssss.sssssssssss.sssssssssssssssssssssssssssssssssssss [ 55%]
sssss.sssssssssssssssssssss..sssssssssssssssssssssssssxssssssssxssssssss [ 55%]
ssssssssssssssssssssssssssxssssssss.sssssssssss.ssssssssssssssssssssssss [ 55%]
ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sss [ 55%]
ssssssss.ssssssxssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 55%]
ssssssssssssss.ssssssssssssssssssssssssssssssssssx.sssssssssssssssssssss [ 56%]
ss.ssssssssssssssssssssss.ssss.sssssssssssxssssssssssssssssssssssss.ssxs [ 56%]
sssssssssss.ssssxsssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 56%]
sssssssssssssssssssssssssssxssssssssssssssssssss.ssssssssssssssssssssssx [ 56%]
sssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssssssss.sssssss [ 56%]
ssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssssssss.ss [ 56%]
sssssssss.ssssssssss.ssssssxsssss.sssss.ssssxssssssssssssssssssssssss.ss [ 56%]
sssssssssssssssssssssssssssssxssssssssssssssssssssssssssssssssssssssssss [ 57%]
ssssssssssssssssssssssssssxsssssssssssssssssssssssxxssssssssssssssssssss [ 57%]
sssssssssxssss.sssss.ssssssssssssssssssssssssssssssssssss.ssssssssssssss [ 57%]
sssssssssssss.ssssssssssssssssssssssssxssssssssssss.sssssssssssssssssssss [ 57%]
ssss.ssssss.sssssssssssssssssssssssxssssss.sssssssssssssssssssssssssssss [ 57%]
.ssssssxsssssssssssss.sssssssssssss.sssssssssssss.sssssssssssss.ssssssss [ 57%]
ssssxssssssssssssssssssssxssss.sxxssss.ss.s.sssssssssssssss.sssssssssssx [ 57%]
.xsssssssssssssssssssssssssssssssss.ssssssssssssssssssssxssssssxs.ssssss [ 58%]
sssssssssssssssssssxssss.ssssssssssssssssssxsssssssssssssssxs.sssssssssxs [ 58%]
sss.sssssss..sssss.sssxssxssssssss..sssxsssssssssssssssssssss..ssssxx... [ 58%]
s..s.xsxx.s.ssssxsxx..s.xxxx.sss.ss.ss.sss.sss.sss.sssssssssssssssssssss [ 58%]
sss....sx..ssssssss.sssssssssssxssssssssss...sssssssxssssssssssxxx.sssss [ 58%]
ssssssssssssssssx.s...x.sx....xxx.s.sssssssssssxsssssssssss.ssssssss.sss [ 58%]
ssxsss..sxss.sxs.s..x...sx.s...xx.s.sssssxsxsss.xssss.xx.sxxxssssxssssss [ 58%]
sss..ssss..ssss.sssssss.sxssssssx.s.s.x..x.xxxx.xxxsssss.sss.sssss.sssss [ 59%]
sssss.sssxsssssssxssssxxxssss.sxx.sx.s.xs..ssxsssx.s.s.x..ssxsssssssssss [ 59%]
sssssssssxssssssssssss.ss.ssssssssssssssssssssxssssssss.ssssssssssssssss [ 59%]
ss.ssssssssssssxssssssssssssssssssssssss.sssssssssssssssss.ss.sss.sxssxs [ 59%]
s.sssssss.sss.sssssssssssss.sssxsss.ssss.sssssssssssssssssssss.sssssssss [ 59%]
ssssssssssssssssssssss.ssssssssssssxsssssssssss.sssxsssssssxsssssssss.ss [ 59%]
ssxsssssssssssssssssssssssssssssssssssxsssssxsssssssssssssssssxsssxsxsss [ 59%]
ssxsssssssssssssss.ssssssssssssssxsxsss.ssssxs.sssss.sssssssssssxsssxsss [ 60%]
ssss.ssssss.sss.sssssssssssssssssxssssssssssssssssssxsssssxssssss.sxssss [ 60%]
s.sssssssssssssssxsssssssssxssssssssssssxs.sssssssssssssssssssssssssssss [ 60%]
sss.sxssssssssssssssssssxssss.xsssssssssss.xssxsssxssssssssxssssssssssss [ 60%]
sssssssssss.ssssssxssssssssssssssssssssssssssxss.ssssxssssssxssssssssss. [ 60%]
ssss.s.sssxssssssssssxsssssssxsssssssssxssssssssssxssssssssssssssssssxss [ 60%]
xssssssssssss.sssssssxsssssss.s.ssss.sssssxs.sssssssssssssssssssssssssss [ 60%]
sssssxsss.ssssssssssssssssss..ssssss.sssssssssxsxsssssssssssssssssssssss [ 61%]
sssssssssssssssssssssssssssssssssssssssssssssssxssssssssssssssssssssssss [ 61%]
ssssssssssxsssssss.ssssssssssssssssssssssssssss.ssssssssssssxsss.sxsssss [ 61%]
sssssssssssssssss.ssssssssssssssssssssssssssssssssssssss.sssssssssssssss [ 61%]
ssssssssssssssssssxssssssssssssssssssssssssxsssssssssssssssssssssssssss.ss [ 61%]
xsssssssssssssssxs.ssssssssssssssssssssssssssssssssssssssssssss.ss.sssss [ 61%]
ssssssssssssss.sssssssssxsssssssssxssssssssssssssssssssssssssssss.ssxsss [ 62%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssssssxssss.ssss [ 62%]
sssss.ssssssssssss.ssssssssssssssxsssssssss.s.ssssssssssssssssssxsssssss [ 62%]
ssxssssssssssssssssssssssssssssssssssssxssssssssssssss.ssssssss.ssssssss [ 62%]
ssssssssssssxssssssssssssssssssssssssssssssssssssxssss.sssssssssssssssss [ 62%]
sssssssss.sssssxsssssssssxss.sssssssssssssssssssssssssssssssssssssxsssss [ 62%]
xsssssssssss.sssssssssssssssssssssssssssssssssssssssssssssssssssssssssss [ 62%]
sssss.xssssssssxsssssss.sssx..x.sx.s.sxxx.s.sx..s.xxx.xx..xxxx.xxxxxxx.s. [ 63%]
x.xx.sxxx.xsx.xssss..x.s..sxxxssss.sssssxxxxx.sssssxsssxssssssssssssssss [ 63%]
xs.ssxssssssss..xxxxssss.xxxxxssss.sxxssxss.s.sxssssxxxxx.xs.s.s.xssssss [ 63%]
sssxxssssxssss...x.x.sxxxxssssssxsxsssssxxsssss.ssssss.sssss.ss..s.sx..s [ 63%]
xxssss.xx....x.xx.xx...ssssssssss.ssssssssssssx.ssssssssssssssssssssxs.. [ 63%]
..s.s.sxx..xx..sxxx.x...s....x.xss.xssxxss.xxsxxxxxss..ssss.xxsssssxxxss [ 63%]
ssxxxxxs.xxx.xsssxsssssxssssxsssssssssssssxssssssxsxsss.ssssssssssssssss [ 63%]
ssssssssssssssssssssssssssssssssssss.ssssssssssssssssssssssssssss.ssssss [ 64%]
xsssssssssssssssssssssssssssssssssssssssssssssssssssssssss.sxsssssssssss [ 64%]
ssssssssss.ssssssssssssssssssssssss.sssssssssssssssssssssxssssssssssssss [ 64%]
sssssssssssssssssssssssssssssssssssssssssssss.xssssssssssssssssssssssssss [ 64%]
sssssssssssssssxsssssssssssssssssssssssxssssssssssssssssssssssssssssssss [ 64%]
ssssssssssssssssssssssss.ssssssssxssxssssssssxsssssxsss.ssxsssssssssx.xs [ 64%]
sssxssssxx.sxx.ssx....s.sssss.s.xs.xx.s.xxxx.ssssx.xx.s.sx.x.sxxx..xssss [ 64%]
xssxs.s.s.ss.ssssssssxsssssss.ssssssssssssssssssssssssssss.xxxxx..xxx.ss [ 65%]
ssxxx.xxx.x.xx.sxx.s.sx..xxx.s.xs...xxx.xxxssssss.sxssssxs..ssssss.sssssx [ 65%]
ssss.ss.sssxsssxssssxssss.x.s.x.s...xxsssxsxxxxssss..xxxxssssxxx.xxx..x. [ 65%]
.sssxssssssssxsxs.ssssssxsssssssssxxsssssssssx.ssssssssssssssxssssssssss [ 65%]
ssssssssssxssssssssssssssss.ssssxssssssssssss.sssxsssss.sssssssxssssssss [ 65%]
sssssssss.ssxsssssxssssssssssssssssssss.ssss.xsssssssssss.ssssssss.sxsss [ 65%]
sssssssssssssssxssssssssssssssxssssssssssssxss.sssssssxssssssss.ssssssxs [ 65%]
ssxsssssssssssssssxsssss.sssss.sssssssssssssssssssssssxsssssssssssssxs.s [ 66%]
ssss.xssxssssssssss.ssssssssssssssssssssssssssss.ssssxsssssssxssssssxss. [ 66%]
sxsssssssssssssssssss.sssssssss.sssssss.ss.sssssxsssssssssssxssssssxsxss [ 66%]
ssssssssssssssssxsssssssxsssssssssssxsssssssssssxsssssssssssss.ssxssxsss [ 66%]
ssssssssssssssssss.ssssssssssssxssssssssxssssssssssssssssssss.ssss.sssss [ 66%]
ssssssssxssssssss.sssssxssxs.ssssss.sss.sssssssssssssssxssssssssssssssss [ 66%]
xsssss.ssssssssssssssssssssssssxss.sxsssssssssssssssssssssssxssssxssssss [ 66%]
ssxsxsssssssssssssssssssssssssssssssssssssssxssssssssxssssssssssssssssss [ 67%]
sssssssssssxssssssssssxsssssssssxxsssssxsssssssssss.sssssss.sxssssssssss [ 67%]
sss.sss.ssssssssssssssssssssxsxssssssxssssssssssssssssssssssssssssssxsss [ 67%]
sssssssssssxssssssssssssssxssssssssxsssssssssssssssssssss.sxsssss.ssssss [ 67%]
sssssssssssssssssssssssxsssss.xsssssssssssssssssssssssssss.sssssssssssss [ 67%]
sssssssssssssssssssssssssssssssssssxsssssssxsssssssssssssssssssssssxssss [ 67%]
ssssssssssssxsssssssssssssssssssssssssssssss.sssssssxssssxssssssssssssss [ 67%]
ssssssssssssssssssssssssssxxsssssssssssss.ssssssss.xssssssssssssxsssssss [ 68%]
sssxssssssssssssssssssssssssssssssssssssssssssss.ssssssssssssssss.ssssss [ 68%]
ssssxssssssssssssxssssssssssssssssssssxssssssssssss.sssssssssssssssxsssx [ 68%]
sssssxssssssssssssssssssssssssssssssssssssssss.ssssssssssssxssssssssssss [ 68%]
ssssssssssssssssssssssssssssssssxssssssssssssssssssssssssss.sssssssssxss [ 68%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssssxssssssxssssssss.s [ 68%]
s.s.sssssssss.sss.ssx.xsssss...x.sxxxssssxxxxxxx.xsxssssxx.xssss.xs.sxxs [ 69%]
sss.xs.xxsxsss.xs.xxx..xxxxxx..xx.ssssssssss.ss.ssssssssssssssssxsssssss [ 69%]
ssxsssssssssssssssssxsssssssssssxssssssxss.s.ssssssxsss.ssssxsxsssssss.s [ 69%]
ssssssxssss.s.x.xs.x.xsxssssxxxxssssxx.xxxsssxsssxss..s..s.x.x.sss.sssxs [ 69%]
s..xssssssss.ssxsssssssssss.sssssxssssxxxxxx.ssss.xssssxxxxssssx.xxxxx.x [ 69%]
.sxx..s.sssss.sssssxssssssssssssssssssssssssssssssssssssss.sssxsssssssss [ 69%]
sxssssxssssssssssxxsss.sxssss.sxx.xx.x..xssxss.xx..sx.x.ss..xsxsssssssss [ 69%]
ssssssssssxss.ssssssssssssssssssss.s..x..xx.xx.xxxxxx.xss.sssssssxsss.ss [ 70%]
sssxssssssssssss....sxxxxs.ssssssss.ssssxssssxssssssxssssssxxx.xxxx.xxxs [ 70%]
sssxxxxx.sxssssxx.x...xssssxsxxssxss.sx...xssss.x.xxxssssxxxxxssssxxxsss [ 70%]
ssssxss.sssssss.ssxsss.ssssssssssssssssssssss.sssxxsssssssssssss.xsxssss [ 70%]
.xs.ssssssxsxs.ssssssssxxsxssssssssss..xxxxxx.x.sx..xssssxx.s.x..ssxssxs [ 70%]
ssss.sxsxssssssssssssssssssssxxxssssxxx.xxssssx.xx.s..s..xxxx.x.x...xxxx [ 70%]
xxxxxxxx.xx.xx..sxx.xs.x.ssss.xxxxxxxssssxxxsssxsx.x..xxssssxxxxxx.sxxx. [ 70%]
s.xsssxsssssxxsxsssssxsssssssss.sssxss.xxxxxxx.xxxxxxxxsss.sxssssxsssssxx [ 71%]
sssxssssssssssss.sssssss.ssssssssssssssxssssssssssxsssssssssssssssssssss [ 71%]
sssssssssssssssssssssssssxsssxssssxx.x.xx.x.xxxxxxx.sxxsssxsxx.s.xssss.. [ 71%]
xxsssssssssxssssssxxxxxxxsssssssxsssxssssssxssssssssxsssxssssssssxssssss [ 71%]
.sssssssssssssssssssssssssssssssssssssssxssssssssssssssssssxssssssssssss [ 71%]
ssssss.sssssssssssssssssssssssxssssxssxssssxx.sssssssss.ssssssssssssssss [ 71%]
sxssssssssssxsssssssssssssss.ssssssssssssssxssxsssssssssssssssssssssssss [ 71%]
sssssss.sxsssss.ssssssssssssssssssssssssssssssxxsssssssssssssssxssssssss [ 72%]
sssxxsssssssssssss.ssssxsssssssssssssssssssssssssxssssssssssssxsssssxxss [ 72%]
s.sssssssssssssssssxssssssssssssss.sss.ss.ssssssssssssssssssssssssssssss [ 72%]
ss.ssssssssxsssssssxsssssxssssssss.ssssssssssssxsxssssssssssssssssxsssss [ 72%]
sssssssssssssssssssssxssssxssxssssssssssssssssssssssssssssssssssssssssss [ 72%]
sssssssssxssssssssssssss.ssssssssxssssssxsssssssxssssssssssssssssssxssss [ 72%]
sssssssxss.sssssssssssssxs.ssxsssss.sxsssssssssss.sxssssssssssssssssssxs [ 72%]
ssxsxsssxssxsssssss.ssxsssssssssssssssssssssssssssssss..ssssssxsssssssss [ 73%]
sssssssssssssssxssssssssssssssssssssssssssssssssssssssssssssssssssxssxsss [ 73%]
ssssssssssssssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssxs [ 73%]
sssssssssssssssssssssxsssssssssssssssssssssssssss.ssssssssssssssssssssss [ 73%]
sssssssssssxsssssssssssssssssxssssssxssssssssssss.sss.ss.sssssssssssssss [ 73%]
ssssssssssssssxssxssssssssssxssssssssssssssss.ssssss.ssssssxssssssssxsss [ 73%]
sssssssssssssssssssxssssssssssssssssssxssssssss.ssss.sssssss.sssssssssss [ 73%]
sssssssssssssssssssssssssxsssssssssssssss.ssssssxssssssssssssssssssxxsss [ 74%]
ssssssssssssssssxssssssxsss.sssssssss.ssssssssssssssxssssssssxssssssssxs [ 74%]
ssssxsssssxssssssssssssss.sssssss.sssssxssssssssssssssssssxxs.ssssssssss [ 74%]
ssxsssssssssssssssssssssssss.sssssssssssssssssssssssssxsssssssssssssssss [ 74%]
ssssssssssssxssssssxsssxssssssssssssssssssssssssssssss.ssssssssssssxssss [ 74%]
ssssssxsssssssssssxssxssxssssssxssss.sssssssssssssssssssxxssssxs.ssssx.. [ 74%]
.xsssssssx.xsssxssssssssx.sssssssssssssssxssssssssssssxsssssssssssssssss [ 74%]
xssssssssssssss.sxxx.sxssssxxxxssssxxx.ssssxssssssxsssssssss.x...x.x.xxx [ 75%]
ssxsxsssssxxssss.sssssssxsxssss.ssxssxssssssssx.x.sx...xxx.xxssxssx.x..x [ 75%]
x.xsxsssx.xxxssxss.sssssssssssssxsssxs.sssxssssssssssssss.ssxssssssssssxs [ 75%]
sssxsssssssxssssss.sssssssssssssssssssssssxsssssssssssssssssssssssssssss [ 75%]
sssssssssxssssssssssssxssssssssss.sxsssssssx.xxxxxx.x.x.xx.x..xx.xss.ssx [ 75%]
.xsxssss.x.xxxxxssssssssss.ssssssssssssssssssssssx..xx.x.xx.sss.ssssssss [ 75%]
sssxsssssssssssssxxsssssssxsxsssxsssssss.ssssssssssssssssxssssssssssssss [ 76%]
ssss.ssssssssssssssxssssssssssssx.xx.xxxssssxxxxx.x.xx.x.x.xxxssxssxsssx [ 76%]
ssxsssssssxssssxsssss.sssssssssssssxsxsssssssssxssssssssxsssxsssssssssss [ 76%]
sxsssssssssssssxs.ssssssss.xxxxxxxxx...xssssx.x..x.x.xx.ssxssssssssssxss [ 76%]
ssss.sssxsxxsssssssssxssssssssxsxssssssssssssssssssssssssssssssxssxssssxs [ 76%]
sssssssxsssssxssssssssxssssxxssssx.xxssssxssxssssxssxsxxssssxssssssxssss [ 76%]
sss.sxsssss.xxx..x.xxx.xxxxssssxssssxx.xxxssss.xx.xxx.xxxxxxssssxxx.xxxx [ 76%]
x.x..x.xssssxx.xxx..xxxssssxxxxxssssxxx.xxxxssssx.xxxxssssxxxssssxxssss. [ 77%]
.xxxssssx.xxxssssxxxssss.xxssssssssss.ssssssss.sxsssssxs.sss.x.x..xxxxxx [ 77%]
xx..xx.x...xxssssxx.x....xssssx.xxxxxxxxx..x.xxx..xssssxxxxxxxx.xxxx.xxx [ 77%]
sxsssxx..xxxxx.xxxxxxsssxs.xxsxsssssss.sssxsssssssxssssxsssssssxsssssssxs [ 77%]
sssssssxsxxxxssssxxxssssxsssxxssssssssssxss.s.sssssssssssssxsxsxsssssss. [ 77%]
xxssssssssssssssssxsssssssssxsssssx.sssxssssssssssssssssssssssssssssssss [ 77%]
ssxsssssssssssssssssssssxssssssssxsssssssssss.ssxssssxxsxsssssssssssssss [ 77%]
sssssxsssssssxsssssxssssxssssxsssssssxssxssssssssss.ssxsssssssssssxsx.ss [ 78%]
sssssssssxsssxssssssssssssxsssssssssssssxssssssss.ssxsssssssssssss.sssss [ 78%]
sssssxsxsssxxsssssxsssssssssssssssssssssssssssssssssssxssssssssssssssssss [ 78%]
ssssssssssssssssssxssssssssssssssxsssssssssxsssss.sssssssssssssssssssssxs [ 78%]
ssssssssssssssssssssxsxsssssssxsxssssssssssssssxssssssxsssssssssssssssss [ 78%]
ssssssssssssssssssssssssssssssssssxsssssssssssss.ssssssssssssssssxssssss [ 78%]
ssssxssss.ssssssssxsssssssssssssxsssssssxsssssssssssssssssss.sssssssssss [ 78%]
ssssssssssssssssss.sssssssssssssssssssss.sssssssssss..ssssssssssssssss.s [ 79%]
ssssxsssssxssssssssssssssxsssssssssssssssssss.sssxsssssxsssssssxxssssssx [ 79%]
sssssssssssssssssssssxsssssxsssssssssssss.ssssxssssxssxssssss.sxssssss.sx [ 79%]
ssssssssssssssssssssssss.sssxssssssssssssssssssxsssssss.ssssss.sxssxssss [ 79%]
xsssssssssssssssssssxssssssssssxsssxssssssss.sssssxssssssss.sssssssssxss [ 79%]
ssss.ss.ssxssssssssssssssssssssssssssssxsssssssssxxxsssxssxsssssssssssss [ 79%]
.xsssxsssssssssssxxss.sxsssss.sssssssssssssssssssssssxssssssxsssssxsssxs [ 79%]
ssssss.sssssssssssssssss.sxsxxsssssssxssssssssssssssss.sssssssssssxsssss [ 80%]
sssssxsssssxssxxssssssssssssssssxssssssssxsss.ssssx..x.xxxxsxxxxxxssssss [ 80%]
sssssx.x.x.ssssss.xsxxxxssxxxxx.ssss..ssssssssxxs.xss.xssxssxssssss.sssssss [ 80%]
ss.ssssssss.ssssss.sssss.sssss.sssssss.s.ssssssssxsssss.ssssssssssssssss [ 80%]
ssssssssssssss.ss.ssssssssssssssssssssssxsxsssxsxsssssxsxxssssss.sssssss [ 80%]
xssssssssssxssssssssssssssssssssssssssssssssssssssssss.sssssssssssssssss [ 80%]
xssss.ssssssssxs.ssssssss.xssssssssssssssssssssssssssssssxssssssssssssss [ 80%]
ssssssssssssssxsssssssssssssss.ssssssssxssssssssssssssxsssssssssssssssss [ 81%]
sssxssxsssssssssssssssssssssssssssssssssss.xsssssssssssssssssssssssssxss [ 81%]
ssssssssssssssssssssssssssssssss.sssssssssssssssxsssssssssxsssssssssssss [ 81%]
s.sssssssssssssssssxsss.ssssssxsssssssxxssxsssss.sx.....xxxxx.xsxsss.xxx [ 81%]
...x.xx....xxssssxxxx.x.xx.x.x.xsssxsx.x.xssssxxxxss..ssxxx..xssssxxssss [ 81%]
x.x..xx.x.x.xsssssssssssssssssss.ssxs.sxsssssssxxsssssssssssss.sssssssss [ 81%]
..x.xxssxssss.ssxsssssssssssssssssssxsssxssssssssssssssssssssssxssssxsss [ 81%]
.ss.sxxssssssssssssssssssssssss.ssssssss.ssss.ssxsssssssssxssssxssssssss [ 82%]
ssssxssxsssssxsxsss.sxsssssssssxssssssssss.sxssssss.x.x.xxxx.xxssxssssss [ 82%]
xxssssxx.xxxxssss.ssssssssssxssssssssssssxssssssssssssssxsxsssssssssssss [ 82%]
sssssssssssxsssssssssssxsssss.sss.ssssssssssxx.sssssssssssssssssssssssss [ 82%]
.sxssssxssx.xx...xx.ssssxxxssssxsssssssxssssssx.ssssssss.ssssssss.sss.sx [ 82%]
sxs.xsssssxsssssssssssxs.ssssssxsssxssss.sss.sssssxsxsssssxsssssssssssxs [ 82%]
xxxxxssxxsxsssxxxs..ss.s.xxssssxx.xx.xxxxssssx.xxxxssss.xxs.sss.xxxxssss [ 83%]
xsssssss.sssss.ssssssssssssssssss.ss.ssssssssssssssssssssssssxsss.ssssss [ 83%]
sssxssssssssxssssssxsssssxssssss.ssssssssssssss.x...xx.x...x.ssss..xx.x. [ 83%]
xxssssx.xxxxx..xxx.x.x.xssssxxxx.xxxxx...x.x.xxxsxs.ssxxx.ss.ssxx...xxxx [ 83%]
xxxx.xxxssssssssxsxsssssxsssxxsssssssssssssssssssssssssssxsssssss.sssxss [ 83%]
sssssssssssssssssssxsssssssssxsssssssxsssssssxssssssssssssssssssxssssxsx [ 83%]
ssx.xx.xxxxxxsxxxxxxssxssxx...xs.sxssx.x..xxxsssxsss.ssxssssxxssssxxxxxx [ 83%]
xx.xxsxsxsssssxsssss.x..xxssssx.x.xxxxxxxxsxxssxsssssssxsssxssssssssxsssx [ 84%]
sssxsxxxsssxsxx..xxxxssssxxxxxx..xx.xx.xx.sssxs..xxxxssssx.xxxxxxxxxxx.x [ 84%]
xxxxx.xxxssssx.xxxx.x.xxxxsssssssssssssssssxssssss.sssss.sssssssxssssssss [ 84%]
sxxssssssxsssssssssssssssssssssssssssssss.ssssxsssssssssssssssssssssssss [ 84%]
sssssssssssssssssssssssssssxxxx.xxsssxss.ssssss.sssssssxxxsxsss.xxxxxxxxx [ 84%]
xxx.x.xxxssssxssssxsssssss.sssssssssssssxssssxssss.xxxxxsssxsx.x.xx.xsxs [ 84%]
ssxxssssxxxssxssssssssssssssssssssssssxssssxsxsssxs.sssssssxsxssssssssss [ 84%]
.sxssssssssxssssssxssssssssss.ssssssxssssssssssssssssssssxxsssssssssssss [ 85%]
sssxsssssxssssssssxsssssssssssssssssssssssssssssssssssssssssssssssssssss [ 85%]
sxssxxssssssssssssxxsssssssssssssxss.sssssssxsssssssssssssssssssssssssss [ 85%]
ssssssssssssssxssxsssssxsxsssssssssssssssssssxxssssssssssssss.ssssxssssss [ 85%]
ssssssssxsssssssssssssssssssssssssssssssssssssssssxsssssssssssssssssssss [ 85%]
ssssssssssssssssssssssssssssssssssssssssssssssxsssssssssssssssssssx.ssss [ 85%]
ssssssssssssssssssssssssssssssssssssssssxssssssssxssssssssssssssssssssss [ 85%]
sssssssssssssssssss.sssssssssssxsssss.ssss.sssssssssssssssssssssssssssss [ 86%]
sssssssssssssssss.sssssssssssssssssssssssssssssssssxssssssssssssssssssss [ 86%]
ssssssssssssssssssss.sssssssssssssssss.sssssssssssssssssssssssssssssxsss [ 86%]
.sssssssssssssssssssxssssssssssssssssssssssssssssssssssssssssssssssssssss [ 86%]
ssssssssssssssssssxsssssssssssssssssssssssxsssssssssssssssssssssssxsssssss [ 86%]
ssssssxsssxsssssssssssssssssxsssssssssssssssssssssssssssssssssssssssssss [ 86%]
sssssxssssssssssssssssssssssssssssssssssxssssssssssxssssssxss.ssssssssss [ 86%]
sssssssssssssssssssssssssssssssssssss.sssssssssssssssssssssssssssssssssss [ 87%]
sssssxssssssxssssssssssssssssssssssssssssssxsssssssssssssxsssssssssssss. [ 87%]
ssssssssssssssssssssssssssssssssxssssssssssssssssssssssssssssssssssssssss [ 87%]
ssssssssssxsssxssssssssssssssssssssssssssssssxsssssssssssssxxssssss.sssss [ 87%]
ssssssssss.sssssssssssssssssssssssssssssssssssssxsssssssssssssssssssssss [ 87%]
sssssxssssssssssss.sssssssssssssssss.sss.ssssxsssss.xsssssssssssssssssss [ 87%]
ssssssssssssssssssssx.xxsssxsxsx.ss.sxxx.xxxxxxx.xxxxxxxxxssss.x.xx.xx.x. [ 87%]
ssss..x.xx.x..xxxxxxsxssssxsssx.xxssss.xx.xxsxsssssssxxxxsssssssssssxsss [ 88%]
ss.sxsssxsssssssxsssssssss.xxx.xxx.xxxxxssssxsss..xxxx.xxssxsssssssxsssss [ 88%]
sssssxsxssssssssssssssssssxssssssssss.ss.ssssss.ssxssssss.sssssss.ssssss [ 88%]
.sssssssssssxssssssssssssssssssssssssxss.ssxsxssssxsssssssssxss.ssssssss [ 88%]
ssssssssssx.xx.x.xxxx.xxx.x....xxxsxssss.ssxsxsssssssssssxssssxxssss.xxx [ 88%]
ssssx.xxxxx.xssssxssssxssssx.xxx..x.xxxxxxx.ssssxsssxsxx..xx...x.x.xxxx. [ 88%]
xxxxxxxxxxxxxxxx.xx.x.xxsssssssssssssssxsssssssssssxssssssssssssx.xxssss [ 88%]
sssssssssssssssssssssssxsssssx....xss.ssxssssxxxxx...x..xxxxxxsxsssxxxxs [ 89%]
sssx.x.x.xxxxxxxsssxssssssssxsssssssssxs.ssxsssssxss.sssss.xxxxxss.ss..x [ 89%]
xxxxxxxxxxxxxxxssssxxx.xxxx.xxxxxxssxssssssssssssssssssssss.sxssxsssssss [ 89%]
ssssssssssssssssssssssssssxsssssssxsssxssxssxsssxxsssssxs.xxxxssssx.xxss [ 89%]
ssxssxssx.xxxx.xx.x.x.xx.xxxxxxxxx.sssxsxssxssx.xxxsxsssssssssssssssssss [ 89%]
ssssxsssssssssxssx.x.xx.x.xx.xxs.ssssssssssssxsssssssssssssssssssxsssssx [ 89%]
.xx.xxxsssxsxxxx.xxxxxxx.xxx.xssssssssxsssxssxssssssxssssssssxsssxsx.xxx [ 90%]
xssssxxsxsssssssxssssx.xssss.xxxssss.xxx.x..xssss.xssssxxx.x.xxxxxx.xx.s [ 90%]
sssxx.xxxx.x.xxxx.xsssxsxx.x..xxxs.sssxxxxssss.sxssssssssssxsssssxssssss [ 90%]
ssssxsxssssssssxssssssssxsssx.xxx.xssssx..xxxsssssxssxsxssss.xxxx.xxxx.x [ 90%]
xxx.xxssssx.ssxssxssssxxsxsssxxxxssssxxssssx.xx...xx.xssssssxs.sxxsssssss [ 90%]
sssssssxssssxssssssssssxssssssssssssssssssxssssxssssssssssssss.ssssss.ssx [ 90%]
sssssssssssxsssxssssssssssssssssxssxsssssssssssssssssssssssss.ssssssssss [ 90%]
sssssssss.sssss.ssxsssxssss.ssxsssssssssssssssssssssssssssssssssssssssss [ 91%]
sssssssssssssssssssssssssssssssxssss.sssssssssssssssssssxsssssssssssssss [ 91%]
sssssssssssssxsssssssssssssssssxssssssssssssssssss.ss.sssxsssssssssssssx [ 91%]
sssssssssssssssssssssssssssssssssssssssssssssssssssssxsssssssssssssssssss [ 91%]
ssssssssssssssssssssssssssssssssssssssssssssssssxsssxsssssssssssssssssss [ 91%]
ssssxssssssssssssssssssssssssssssxsssssssssssssssssss.sssssssssssssssssss [ 91%]
s.ssssssssssxssssssssssssssssssssssssssssssssssssssssxssxsssssssssssxss. [ 91%]
sssssssssssssssss.ssssssssssssssssssssssssssxssssssssssssssssssxssssssssss [ 92%]
ssxssssssxxssss.sssssssssssssssssssssssssssssssssssssssssssssxsssssssssxs [ 92%]
ssssssssssssxssssssssssssssssssssssssssssxssssss.ssssssx....xxssxsssssss [ 92%]
sss.sxsxsssssssssssssxxxx...xxxxsssssssss.s.ssssss.ssxssss.ssx.ssssxssss [ 92%]
ssssx.x.xx.x..x.x.xx.xxxssssxxsssxsx.xsxsxs.s..xxxx.x.ssxssx.xxxxssssxss [ 92%]
sssxsxsssssssxsssssssssss.x.x.xssxssxxxxxxss.ssssx....xxxx.xxxxx.xxxx..x [ 92%]
..xx...x.x..xx.xssssx.ssxss.x.xxssss..x.xx.x.x...x.x.xx.xx.x..x.xx.x.xxx [ 92%]
xsssss.ssssxssxssssxsxsssx.xxxxx.x..xsxsssxssssxx....x...xx.xxx.xxxx..xs [ 93%]
sssx..xx.xxxxxxsssssxssssssssxxxx.xxxxxxxx.xxx.xsx.ssssssxxs.x..xx..xxss [ 93%]
xxsssssss.ssssssssxssxssssxsssxsssssxsx.xxxxxxssss..xxssssxxs.sssxx.ssss [ 93%]
xssssx.x..xxxssssx..xx.ssss.x.xssssxxx.x.x.sssxsxxssssxx.x..x.x.x..xxx.. [ 93%]
xxxx..xxssssx.x.xxx......xssss.x.x.xxx..xxxx.xss.xxx....x.x.x.xx..xx.x.. [ 93%]
x.x.xxxxxsxsss....xs.sssxsssxssxsxsxx..xxsss..xxxs.sssxssssx.x.xxssss.x. [ 93%]
.xssxssssss...x..xxssssxxxssssx..xxsss.s..x.x..x.xx..xx..x.x.xs.sssx.x.. [ 93%]
xxx..xxxx.ssss....x..x.x........xssss....x...xsssssssssssssss.ssss.sssxs [ 94%]
s...x....x..xx.x.x.......xx..xx.x.xssssxssss.xxx....xx.sssxs...xx.xx.... [ 94%]
x..x.ssssxxsss.x....x....xx.xx.....xx..x.ssssxxx..x.x.xxss.s.sxxxsss..x. [ 94%]
.xxx....xxss.ssxssss.sss.xx..xssss.x.xxxxs.sss...x.....xss.s.sx....x.... [ 94%]
xssss...xsss.s...........x.....x....x...xxx....xxxxssss..x.x..xssss..... [ 94%]
xssss.x..........xxssss.x.x..x...xssss.x.x.....xx...x...xxxx....xx.xxxss [ 94%]
ss.xx..x.x.x...x.xx......xssss..x.......x....x..xx.x......x.x..x.x...... [ 94%]
.xx...xx.........x.x.xssss....xssss......xssss........x.x.....x.x...xxss [ 95%]
s....x.x...x..x..x.x...x...xx.x.x.sss........x.x........xx...x.....x.x.. [ 95%]
...x............xxxssss..................xx....x.ssss...xssss........... [ 95%]
.x..x.xxx..........x.....x...xx...........x...............xssss......... [ 95%]
x............xx....x.ss.ss...xx.x.ss.s.s....x......x.....xssss......x..xx [ 95%]
.......x......x...........x.s......xxx........x.........xsss.s......xsxs [ 95%]
ss.................xx..xxss.s.........xx..x..x.x....x.....xx.....xx..... [ 95%]
x..x.x.......xs..xs.sssx.ssssxx.......x..........x........xs.s......x.x. [ 96%]
....xssss..x...x..........x..x..x.....xx.........xsss.s.........x...x.x. [ 96%]
.......x..x.x..xx.....x..x.....x...x..x..x..xx..x...x...........x....... [ 96%]
xssssx...x..........x.x.xx.........x..x.......xs.x.....................x [ 96%]
x.....x....xss..................x...............xss.ss.........x........ [ 96%]
.x............xs...xxx....................x..........sss....x........... [ 96%]
....s.....s..ss.............................x......x.........x.......... [ 97%]
......x........x...x.......xs.sss..x....x.x...........x.x...........x... [ 97%]
........x.................................x.x...........x...xs..sss..... [ 97%]
....xs.s................................................................ [ 97%]
...............x.s...................................................... [ 97%]
......................................x..............x..........x....... [ 97%]
..........x.....x...............x.ssss........x...........x........x.... [ 97%]
.x.........x........xs.sss.............................................. [ 98%]
........................................................................ [ 98%]
........................x....x.....x...........................x...x.... [ 98%]
.......x...xx..x...x..................x..ssss.......ssss.xx............. [ 98%]
..............x..........sssssssssssss.sssssssssss.ssssssssss.ssssssssss [ 98%]
..........................x..s..s.s...................s..s.....x...s.... [ 98%]
......s.........xssss..s..........................x..............x...... [ 98%]
.....s...................s..sx.ssx.......s.ssssssss.x....ss......s.x.... [ 99%]
.....s....s.s.......sss.sssss.....s.....s..s....ss...s.......s.s.s.....s [ 99%]
........s.....s..Fs..............s..........s.sss.ss...s.s...s.ssss.ss.. [ 99%]
.s.s.s.s....sss..s.....ss.......ss..s......s.s........s...s............. [ 99%]
...s..s....s....s...s....s..............................s............... [ 99%]
........................s...............s............................... [ 99%]
..................x..............................................sssssss [ 99%]
ssssssssssssssssssssssssssssssssss... [100%]
=================================== FAILURES ===================================
____________ test___setitem___non_hashable[str_index-boolean_mask] _____________
[gw5] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 800, in _compute_enlarge_labels
raise KeyError(
KeyError: "None of [[False, True, False, True, False]] are in the [Index(['a', 'b', 'c', 'd', 'e'], dtype='object')]"
___________ test___setitem___non_hashable[int_index-list_of_labels] ____________
[gw8] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
___________ test___setitem___non_hashable[str_index-list_of_labels] ____________
[gw4] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
____________ test___setitem___non_hashable[int_index-boolean_mask] _____________
[gw9] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_series.py", line 559, in test___setitem___non_hashable
md_sr[key] = 10
File "/modin/modin/pandas/series.py", line 517, in __setitem__
self.loc[key] = value
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[0] not in index'
______________________________ test_loc[int_data] ______________________________
[gw47] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
______________________ test_loc_iter_assignment[0-False] _______________________
[gw44] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
___________________________ test_loc[float_nan_data] ___________________________
[gw37] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 337, in test_loc
modin_df_copy.loc[[1, 2]] = 42
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 755, in _check_missing_loc
missing_labels = self._compute_enlarge_labels(
File "/modin/modin/pandas/indexing.py", line 794, in _compute_enlarge_labels
locator_as_index = base_index_type(locator)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexes/range.py", line 127, in __new__
start = ensure_python_int(start) if start is not None else 0
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/common.py", line 133, in ensure_python_int
raise TypeError(
TypeError: Value needs to be a scalar value, was type Int64Index
_______________________ test_loc_iter_assignment[0-True] _______________________
[gw0] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
File "/modin/modin/pandas/test/dataframe/test_indexing.py", line 515, in test_loc_iter_assignment
md_df.loc[select] = md_df.loc[select] + md_df.loc[select]
File "/modin/modin/pandas/indexing.py", line 699, in __setitem__
append_axis = self._check_missing_loc(row_loc, col_loc)
File "/modin/modin/pandas/indexing.py", line 761, in _check_missing_loc
raise KeyError("{} not in index".format(list(missing_labels)))
KeyError: '[] not in index'
____________ test_handle_as_index[False-modin_dtypes_impl-True-2-2] ____________
[gw22] linux -- Python 3.8.12 /home/ray/anaconda3/envs/modin/bin/python
error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates
fatal: bad object HEAD
Traceback (most recent call last):
File "/modin/modin/pandas/test/test_groupby.py", line 1884, in test_handle_as_index
agg_result = agg_func(grp_result)
File "/modin/modin/pandas/test/test_groupby.py", line 1800, in <lambda>
lambda grp: grp.apply(lambda df: df.dtypes), id="modin_dtypes_impl"
File "/modin/modin/pandas/groupby.py", line 280, in apply
return self._apply_agg_function_check_index(
File "/modin/modin/pandas/groupby.py", line 963, in _apply_agg_function_check_index
result = self._apply_agg_function(*args, **kwargs)
File "/modin/modin/pandas/groupby.py", line 1016, in _apply_agg_function
new_manager = self._query_compiler.groupby_agg(
File "/modin/modin/core/storage_formats/pandas/query_compiler.py", line 2818, in groupby_agg
new_modin_frame = self._modin_frame.broadcast_apply_full_axis(
File "/modin/modin/core/dataframe/pandas/dataframe/dataframe.py", line 1878, in broadcast_apply_full_axis
new_axes = [
File "/modin/modin/core/dataframe/pandas/dataframe/dataframe.py", line 1879, in <listcomp>
self._compute_axis_labels(i, new_partitions)
File "/modin/modin/core/dataframe/pandas/dataframe/dataframe.py", line 309, in _compute_axis_labels
return self._partition_mgr_cls.get_indices(
File "/modin/modin/core/execution/dask/implementations/pandas_on_dask/partitioning/partition_manager.py", line 81, in get_indices
new_idx = client.gather(new_idx)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 1980, in gather
return self.sync(
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 868, in sync
return sync(
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/utils.py", line 332, in sync
raise exc.with_traceback(tb)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/utils.py", line 315, in f
result[0] = yield future
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/tornado/gen.py", line 762, in run
value = future.result()
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 1845, in _gather
raise exception.with_traceback(traceback)
File "/modin/modin/core/execution/dask/implementations/pandas_on_dask/partitioning/axis_partition.py", line 223, in deploy_dask_func
result = func(*args)
File "/modin/modin/core/dataframe/pandas/partitioning/axis_partition.py", line 216, in deploy_func_between_two_axis_partitions
combined_axis = [
File "/modin/modin/core/dataframe/pandas/partitioning/axis_partition.py", line 217, in <listcomp>
pandas.concat(
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/reshape/concat.py", line 307, in concat
return op.get_result()
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/reshape/concat.py", line 532, in get_result
new_data = concatenate_managers(
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/internals/concat.py", line 219, in concatenate_managers
values = concat_compat(vals, axis=1)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/concat.py", line 134, in concat_compat
return cls._concat_same_type(to_concat)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/arrays/categorical.py", line 2256, in _concat_same_type
return union_categoricals(to_concat)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/concat.py", line 319, in union_categoricals
return Categorical(new_codes, categories=categories, ordered=ordered, fastpath=True)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/arrays/categorical.py", line 371, in __init__
dtype = CategoricalDtype._from_values_or_dtype(
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/dtypes.py", line 296, in _from_values_or_dtype
dtype = CategoricalDtype(categories, ordered)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/dtypes.py", line 183, in __init__
self._finalize(categories, ordered, fastpath=False)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/dtypes.py", line 337, in _finalize
categories = self.validate_categories(categories, fastpath=fastpath)
File "/home/ray/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/dtypes/dtypes.py", line 540, in validate_categories
raise ValueError("Categorical categories must be unique")
ValueError: Categorical categories must be unique
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING - Compute Failed
Function: deploy_dask_func
args: (<bound method PandasDataframeAxisPartition.deploy_func_between_two_axis_partitions of <class 'modin.core.dataframe.pandas.partitioning.axis_partition.PandasDataframeAxisPartition'>>, 0, <function PandasDataframe._build_mapreduce_func.<locals>._map_reduce_func at 0x7fbbe83950d0>, 2, 2, array([0, 2, 4, 6]), {'partition_idx': 1}, col64 col65 col66 col67 col68 ... col123 col124 col125 col126 col127
0 0 0 0 0 0 ... 0 0 0 0 0
1 1 1 1 1 1 ... 1 1 1 1 1
2 2 2 2 2 2 ... 2 2 2 2 2
3 3 3 3 3 3 ... 3 3 3 3 3
4 4 4 4 4 4 ... 4 4 4 4 4
5 5 5 5 5 5 ... 5 5 5 5 5
6 6 6 6 6 6 ... 6 6 6 6 6
7
kwargs: {}
Exception: "ValueError('Categorical categories must be unique')"
---------- coverage: platform linux, python 3.8.12-final-0 -----------
Coverage XML written to file coverage.xml
=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-boolean_mask]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[str_index-list_of_labels]
FAILED modin/pandas/test/test_series.py::test___setitem___non_hashable[int_index-boolean_mask]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[int_data] - Typ...
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-False]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc[float_nan_data]
FAILED modin/pandas/test/dataframe/test_indexing.py::test_loc_iter_assignment[0-True]
FAILED modin/pandas/test/test_groupby.py::test_handle_as_index[False-modin_dtypes_impl-True-2-2]
= 9 failed, 8868 passed, 37321 skipped, 3276 xfailed, 21783 warnings in 464.80s (0:07:44) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.
<b>Remaining output truncated<b>
@RehanSD when you get back to converting this from draft to ready-to-review, please also update the PR title so it doesn't have an ellipsis but is ready to be included in the changelog.
This pull request introduces 1 alert when merging 997eaa9ef0aabcb90505d05cd96361ef6fff19d4 into d590de080dddb7ed715a58d57c602d96322c4dcf - view on LGTM.com
new alerts:
- 1 for Unused import
![lgtm-com[bot] avatar](https://avatars.githubusercontent.com/in/17324?v=4 "Published by a pub.dev verified publisher"){kind=small}
I'm not a huge fan of special casing like this, but it might be necessary in this case. @YarShev, @vnlitvinov @dchigarev any thoughts?
Me neither, but pandas is its own world of sometimes twisted logic, so...
I noticed when experimenting in an interactive python shell that the dtypes of the df change - I think its maybe because of this line here in the query compiler - https://github.com/modin-project/modin/blob/d590de080dddb7ed715a58d57c602d96322c4dcf/modin/core/storage_formats/pandas/query_compiler.py#L500 (which creates a new modin frame but doesn't provide dtypes, which I'm assuming leads to the modin frame using the pandas default dtypes which are float64 now). Is this behavior expected, or should I change the behavior there to pass dtypes, or should I change the behavior in the _LocIndexer to preserve (and copy for new columns) dtypes?
Is this behavior expected, or should I change the behavior there to pass dtypes, or should I change the behavior in the _LocIndexer to preserve (and copy for new columns) dtypes?
You linked an apply_full_axis call from reindex QC implementation. There's actually a case where dtypes of the frame could change during reindexing: I'm speaking about reindexing on an Index that has a non-zero difference from the frame's index. In this case, missing values are filled with np.nan, which makes pandas to cast int columns to float. In all other cases dtypes seems to be preserved.
Example
>>> df
a b c
1 1 4 4
2 1 2 3
3 1 2 3
>>> df.dtypes
a int32
b int32
c int32
dtype: object
>>> res = df.reindex([1, 2, 3, 4])
>>> res
a b c
1 1.0 4.0 4.0
2 1.0 2.0 3.0
3 1.0 2.0 3.0
4 NaN NaN NaN
>>> res.dtypes
a float64
b float64
c float64
dtype: object
What we could do here is try to detect cases of appearing missing labels after reindex, and if it's not the case pass "copy" as a new dtypes value. This will just copy dtypes metadata to the new frame, without triggering its computation if it was deferred.
Anyway, I think it's a discussion that should be done in a separate issue.
@vnlitvinov this PR was put on hold for some more pressing items - its still incomplete, but there's the start of a new implementation for setitem.
How do folks think we should handle cases like these, where the same thing (one with a Series, and one with a DF) is invalid, but hits different errors (since it seems to go to diff codepaths)?
In [32]: pdf.loc[4, 5] = pdf
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [32], in <cell line: 1>()
----> 1 pdf.loc[4, 5] = pdf
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:716, in _LocationIndexer.__setitem__(self, key, value)
713 self._has_valid_setitem_indexer(key)
715 iloc = self if self.name == "iloc" else self.obj.iloc
--> 716 iloc._setitem_with_indexer(indexer, value, self.name)
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:1647, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
1642 self.obj[key] = infer_fill_value(value)
1644 new_indexer = convert_from_missing_indexer_tuple(
1645 indexer, self.obj.axes
1646 )
-> 1647 self._setitem_with_indexer(new_indexer, value, name)
1649 return
1651 # reindex the axis
1652 # make sure to clear the cache because we are
1653 # just replacing the block manager here
1654 # so the object is the same
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:1688, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
1685 # align and set the values
1686 if take_split_path:
1687 # We have to operate column-wise
-> 1688 self._setitem_with_indexer_split_path(indexer, value, name)
1689 else:
1690 self._setitem_single_block(indexer, value, name)
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:1724, in _iLocIndexer._setitem_with_indexer_split_path(self, indexer, value, name)
1721 if is_list_like_indexer(value) and getattr(value, "ndim", 1) > 0:
1723 if isinstance(value, ABCDataFrame):
-> 1724 self._setitem_with_indexer_frame_value(indexer, value, name)
1726 elif np.ndim(value) == 2:
1727 self._setitem_with_indexer_2d_value(indexer, value)
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:1840, in _iLocIndexer._setitem_with_indexer_frame_value(self, indexer, value, name)
1838 if item in value:
1839 sub_indexer[1] = item
-> 1840 val = self._align_series(
1841 tuple(sub_indexer), value[item], multiindex_indexer
1842 )
1843 else:
1844 val = np.nan
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/indexing.py:2148, in _iLocIndexer._align_series(self, indexer, ser, multiindex_indexer)
2144 return ser._values.copy()
2146 return ser.reindex(ax)._values
-> 2148 raise ValueError("Incompatible indexer with Series")
ValueError: Incompatible indexer with Series
In [33]: pdf.loc[4, 5] = pandas.Series(pdf)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [33], in <cell line: 1>()
----> 1 pdf.loc[4, 5] = pandas.Series(pdf)
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/series.py:367, in Series.__init__(self, data, index, dtype, name, copy, fastpath)
363 else:
365 name = ibase.maybe_extract_name(name, data, type(self))
--> 367 if is_empty_data(data) and dtype is None:
368 # gh-17261
369 warnings.warn(
370 "The default dtype for empty Series will be 'object' instead "
371 "of 'float64' in a future version. Specify a dtype explicitly "
(...)
374 stacklevel=find_stack_level(),
375 )
376 # uncomment the line below when removing the FutureWarning
377 # dtype = np.dtype(object)
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/construction.py:821, in is_empty_data(data)
819 is_none = data is None
820 is_list_like_without_dtype = is_list_like(data) and not hasattr(data, "dtype")
--> 821 is_simple_empty = is_list_like_without_dtype and not data
822 return is_none or is_simple_empty
File ~/.miniconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py:1527, in NDFrame.__nonzero__(self)
1525 @final
1526 def __nonzero__(self):
-> 1527 raise ValueError(
1528 f"The truth value of a {type(self).__name__} is ambiguous. "
1529 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
1530 )
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
```?