SciPy: 1.18.1 e4e854eaa8f18d807cd3496028e257e36caa93cc NumPy: 2.3.5 Python: 3.12.14 (main, Aug 25 2026, 14:00:49) [Clang 22.1.3 ] Platform: Linux-6.18.35-x86_64-with-glibc2.39 NumPy error settings: {'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'} stats source SHA256: bfd5ab202427ec19ad39a7d985b8fe3a5b283718ae1adec0bd8fc42f605e5988 {"exponent": 0, "x_hex": ["-0x1.0000000000000p+0", "0x0.0p+0", "0x1.0000000000000p+0"], "y_hex": ["0x1.0000000000000p+0", "0x1.0000000000000p+1", "0x1.8000000000000p+1"], "variance_x": 1.0, "variance_y": 1.0, "exact_df": "4", "exact_t_squared": "6", "t": -2.449489742783178, "df": 4.0, "p": 0.07048399691021992, "ci_low": -4.266957935527519, "ci_high": 0.2669579355275191, "ci_low_rescaled": -4.266957935527519, "ci_high_rescaled": 0.2669579355275191, "df_numerator": "0.4444444444444444", "df_denominator": "0.1111111111111111", "raw_df": "4.0", "warnings": []} {"exponent": -300, "x_hex": ["-0x1.0000000000000p-300", "0x0.0p+0", "0x1.0000000000000p-300"], "y_hex": ["0x1.0000000000000p-300", "0x1.0000000000000p-299", "0x1.8000000000000p-299"], "variance_x": 2.409919865102884e-181, "variance_y": 2.409919865102884e-181, "exact_df": "4", "exact_t_squared": "6", "t": -2.449489742783178, "df": 1.0, "p": 0.24675171442884988, "ci_low": -6.07479340935429e-90, "ci_high": 4.111156023235199e-90, "ci_low_rescaled": -12.374572723654317, "ci_high_rescaled": 8.374572723654317, "df_numerator": "0.0", "df_denominator": "0.0", "raw_df": "nan", "warnings": []} {"exponent": 300, "x_hex": ["-0x1.0000000000000p+300", "0x0.0p+0", "0x1.0000000000000p+300"], "y_hex": ["0x1.0000000000000p+300", "0x1.0000000000000p+301", "0x1.8000000000000p+301"], "variance_x": 4.149515568880993e+180, "variance_y": 4.149515568880993e+180, "exact_df": "4", "exact_t_squared": "6", "t": -2.449489742783178, "df": 1.0, "p": 0.24675171442884988, "ci_low": -2.5207449829851273e+91, "ci_high": 1.705930592451333e+91, "ci_low_rescaled": -12.374572723654317, "ci_high_rescaled": 8.374572723654317, "df_numerator": "inf", "df_denominator": "inf", "raw_df": "nan", "warnings": [{"category": "RuntimeWarning", "message": "overflow encountered in scalar power"}, {"category": "RuntimeWarning", "message": "overflow encountered in scalar power"}, {"category": "RuntimeWarning", "message": "overflow encountered in scalar power"}]} NaN replacement in inspected helper: df = xp.where(xp.isnan(df), 1., df) Build configuration: Build Dependencies: blas: cython blas ilp64: false detection method: pkgconfig found: true has ilp64: false include directory: /opt/_internal/cpython-3.12.13/lib/python3.12/site-packages/scipy_openblas32/include lib directory: /opt/_internal/cpython-3.12.13/lib/python3.12/site-packages/scipy_openblas32/lib name: scipy-openblas openblas configuration: OpenBLAS 0.3.31.dev DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64 pc file directory: /project/.openblas version: 0.3.31.dev lapack: detection method: pkgconfig found: true has ilp64: false include directory: /opt/_internal/cpython-3.12.13/lib/python3.12/site-packages/scipy_openblas32/include lib directory: /opt/_internal/cpython-3.12.13/lib/python3.12/site-packages/scipy_openblas32/lib name: scipy-openblas openblas configuration: OpenBLAS 0.3.31.dev DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64 pc file directory: /project/.openblas version: 0.3.31.dev pybind11: detection method: config-tool include directory: unknown name: pybind11 version: 3.0.4 Compilers: c: commands: cc linker: ld.bfd name: gcc version: 14.2.1 c++: commands: c++ linker: ld.bfd name: gcc version: 14.2.1 cython: commands: cython linker: cython name: cython version: 3.2.9 fortran: commands: gfortran linker: ld.bfd name: gcc version: 14.2.1 pythran: include directory: ../../../tmp/build-env-3zxzwx9o/lib/python3.12/site-packages/pythran version: 0.19.0 Machine Information: build: cpu: x86_64 endian: little family: x86_64 system: linux cross-compiled: false host: cpu: x86_64 endian: little family: x86_64 system: linux Python Information: path: /tmp/build-env-3zxzwx9o/bin/python version: '3.12'