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CI: series_methods.IsInLongSeriesLookUpDominates.time_isin fails with NumPy 1.20+ #39844

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simonjayhawkins opened this issue Feb 16, 2021 · 0 comments · Fixed by #42473
Closed

CI: series_methods.IsInLongSeriesLookUpDominates.time_isin fails with NumPy 1.20+ #39844

simonjayhawkins opened this issue Feb 16, 2021 · 0 comments · Fixed by #42473
Labels
Benchmark Performance (ASV) benchmarks CI Continuous Integration
Milestone
1.3.1

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@simonjayhawkins
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xref #38379 (comment), benchmarks skipped in #39795

[  0.00%] ·· Benchmarking existing-py_home_simon_miniconda3_envs_numpy-types_bin_python
[ 50.00%] ··· series_methods.IsInLongSeriesLookUpDominates.time_isin                                               16/56 failed
[ 50.00%] ··· ========= =========== ============= =============== =============== =================
              --                                              series_type                          
              --------------------- ---------------------------------------------------------------
                dtype    MaxNumber   random_hits   random_misses   monotone_hits   monotone_misses 
              ========= =========== ============= =============== =============== =================
                int64        5         33.5±0ms       38.2±0ms        38.8±0ms         33.8±0ms    
                int64       1000       31.5±0ms       30.7±0ms        32.0±0ms         88.0±0ms    
                int32        5         20.3±0ms       20.1±0ms        22.0±0ms         20.6±0ms    
                int32       1000       28.6±0ms       31.5±0ms        28.8±0ms         79.0±0ms    
               float64       5         33.3±0ms       31.8±0ms        49.3±0ms         36.9±0ms    
               float64      1000       103±0ms        161±0ms         67.6±0ms         156±0ms     
               float32       5         21.0±0ms       20.3±0ms        21.7±0ms         20.1±0ms    
               float32      1000       91.1±0ms       151±0ms         57.9±0ms         148±0ms     
                object       5         100±0ms        172±0ms         84.5±0ms         212±0ms     
                object      1000       149±0ms        60.9±0ms        126±0ms          265±0ms     
                Int64        5          failed         failed          failed           failed     
                Int64       1000        failed         failed          failed           failed     
               Float64       5          failed         failed          failed           failed     
               Float64      1000        failed         failed          failed           failed     
              ========= =========== ============= =============== =============== =================

[ 50.00%] ···· For parameters: 'Int64', 5, 'random_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 5, 'random_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 5, 'monotone_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 5, 'monotone_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 1000, 'random_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 1000, 'random_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 1000, 'monotone_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Int64', 1000, 'monotone_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Int64' not understood
               
               For parameters: 'Float64', 5, 'random_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 5, 'random_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 5, 'monotone_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 5, 'monotone_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 1000, 'random_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 1000, 'random_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 1000, 'monotone_hits'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
               
               For parameters: 'Float64', 1000, 'monotone_misses'
               Traceback (most recent call last):
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server
                   main_run(run_args)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run
                   skip = benchmark.do_setup()
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup
                   result = Benchmark.do_setup(self)
                 File "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup
                   setup(*self._current_params)
                 File "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup
                   self.values = np.arange(MaxNumber).astype(dtype)
               TypeError: data type 'Float64' not understood
@simonjayhawkins simonjayhawkins added CI Continuous Integration Benchmark Performance (ASV) benchmarks labels Feb 16, 2021
@simonjayhawkins simonjayhawkins added this to the Contributions Welcome milestone Feb 16, 2021
@simonjayhawkins simonjayhawkins mentioned this issue Feb 16, 2021
Merged
@mzeitlin11 mzeitlin11 mentioned this issue Jul 9, 2021
Merged
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@jreback jreback modified the milestones: Contributions Welcome, 1.3.1 Jul 12, 2021
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REGR: isin with nullable types with missing values raising mzeitlin11/pandas
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@jreback @simonjayhawkins