Walter Weinmann
Walter Weinmann
In 38 of 4258 cases, the result of this call is greater than 1. What can be the cause? The maximum value is 32.13506572.
If the sign after the e/E is '+' or missing, the number of the following digits seems to restricted to 3: ``` 5e+12 ok 5e+123 ok 5e+1234 not ok 5e+12345...
Running the module gives: ``` C:\ProgramData\Anaconda3\python.exe "D:/Walter Study/Udacity/Deep Learning/SoftwarePractice/Logistic_Binary_Classification/logistic_regression.py" C:\ProgramData\Anaconda3\lib\site-packages\sklearn\cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes...
What are the plans to support Python version 3.10?
### Code: ``` @threads for partition_key = 1:benchmark_number_partitions run_insert_helper( benchmark_batch_size, benchmark_transaction_size, bulk_data_partitions[partition_key], connections[partition_key], partition_key, sql_insert, trial_number, ) end ``` Source file: https://github.com/KonnexionsGmbH/ora_bench/blob/master/lang/julia/OraBenchOracle.jl ### System Environment: - Ubuntu 20.04.3 LTS over...
### Problem: My Julia program opens 8 database connections one after the other and then closes them again. When closing the 3rd database connection, I get this segmentation error. ```...
[OraBench](https://github.com/KonnexionsGmbH/ora_bench) compares the performance of various Oracle database drivers and includes both [JDBC.jl](https://github.com/JuliaDatabases/JDBC.jl) and [Oracle.jl](https://github.com/felipenoris/Oracle.jl). There are 10 trials in each benchmark run. In each trial, 100000 rows are inserted...
### Code: ``` @threads for partition_key = 1:benchmark_number_partitions println("multithreaded threadid=$(threadid())") run_select_helper( size(bulk_data_partitions[partition_key], 1), partition_key, sql_select, statements[partition_key], trial_number, ) end ``` Source: https://github.com/KonnexionsGmbH/ora_bench/blob/master/lang/julia/OraBenchJdbc.jl ### Protocol: always the same tread id !...