Console doesn't respect numpy.set_printoptions linewidth #1044
Description
Description
When using bpython console, output of print(sum_numpy_array) is truncated to a line width of ~70 characters, regardless of the value set by numpy.set_printoptions(linewidth=<n_chars>). (Probably truncating to 75 characters, per the default value)
Reproduction
import numpy as np
my_array = np.random.rand(10,10)
print(my_array) # Default width
np.set_printoptions(linewidth=500) # Significantly increase width
print(my_array) # See if width has changedOutput using bpython console
Launching the console with
bpythonand running the above commands, the final output stays the same width, e.g.,
[[0.16879042 0.3686932 0.11583333 0.71321688 0.13670377 0.25383321
0.92788538 0.85056165 0.95871566 0.45657286]
[0.49414317 0.88604218 0.49922465 0.55992626 0.42089223 0.13897627
0.67980652 0.88978922 0.43246291 0.90526356]
[0.33860567 0.52356898 0.75102455 0.33301567 0.7098871 0.21842158
0.46992689 0.76128979 0.88457363 0.78181751]
[0.81131105 0.78620507 0.42323958 0.67422569 0.55118114 0.70407957
0.09016517 0.74287572 0.64249138 0.32268192]
[0.73698842 0.69307092 0.53539859 0.28499058 0.21822006 0.04206897
0.49433916 0.09354207 0.43103985 0.93385655]
[0.57097254 0.14512517 0.2543967 0.09382002 0.45794077 0.35054257
0.10442983 0.91845382 0.55508597 0.43811922]
[0.11549397 0.21101277 0.33120293 0.02861319 0.68274748 0.65524105
0.85512808 0.24291806 0.50740652 0.55194984]
[0.75793193 0.37992667 0.9271967 0.40700423 0.87117636 0.82544539
0.6475613 0.375711 0.10660802 0.80992348]
[0.10731481 0.63415828 0.29611222 0.6099451 0.55459819 0.26587325
0.02677911 0.56104341 0.11235509 0.21292126]
[0.0105919 0.77393485 0.94602175 0.93723815 0.26395324 0.60083277
0.9612396 0.01070631 0.28442629 0.54188245]]Output using python3 console
Launching the console with
python3and running the above commands, the final output changes truncation, as expected, e.g.,
[[0.46753165 0.01686997 0.70437271 0.24879456 0.02556759 0.83650928 0.43286804 0.9451887 0.46181752 0.61630296]
[0.14566225 0.30565914 0.77176535 0.95703763 0.90894262 0.27614148 0.81659766 0.34812769 0.56174244 0.11549844]
[0.32356831 0.25946131 0.0412169 0.75370806 0.33468114 0.20393067 0.55025587 0.44584574 0.58217767 0.0194622 ]
[0.04457736 0.44181464 0.57638118 0.85024418 0.39383885 0.7514973 0.82326232 0.78800379 0.32851216 0.73534777]
[0.83012166 0.02666477 0.55707597 0.57091802 0.65053171 0.38345246 0.93166186 0.35886066 0.98315683 0.29832238]
[0.0459551 0.87111509 0.96831739 0.57373146 0.00515242 0.64619749 0.29837364 0.96973241 0.87579246 0.8223942 ]
[0.50320441 0.80214551 0.27265131 0.43892873 0.28584371 0.17528833 0.10920415 0.18958378 0.52295676 0.24579679]
[0.13021351 0.80121593 0.60686516 0.37569768 0.69666459 0.12626204 0.01553835 0.80746448 0.48018188 0.58879389]
[0.02042933 0.10991487 0.50438164 0.41571544 0.37653485 0.08231128 0.36678203 0.29661942 0.8794024 0.82026911]
[0.72970859 0.89390088 0.0175212 0.96947842 0.49559425 0.37974255 0.32831178 0.86434193 0.63606216 0.46084129]]Details
Stumbled across this issue using the following environment (installed by uv via a hatch environment), running on Ubuntu 22.04.3 LTS via Windows Subsystem for Linux.
$ python3 -m pip freeze
attrs==25.3.0
black==25.1.0
blessed==1.21.0
bpython==0.25
certifi==2025.8.3
cfgv==3.4.0
charset-normalizer==3.4.3
click==8.2.1
coverage==7.10.6
curtsies==0.4.3
cwcwidth==0.1.10
distlib==0.4.0
filelock==3.19.1
greenlet==3.2.4
hypothesis==6.138.15
identify==2.6.14
idna==3.10
iniconfig==2.1.0
mypy_extensions==1.1.0
nodeenv==1.9.1
numpy==2.3.3
packaging==25.0
pathspec==0.12.1
platformdirs==4.4.0
pluggy==1.6.0
pre_commit==4.3.0
Pygments==2.19.2
pytest==8.4.2
pytest-cov==7.0.0
pyxdg==0.28
PyYAML==6.0.2
requests==2.32.5
scipy==1.16.2
sortedcontainers==2.4.0
urllib3==2.5.0
virtualenv==20.34.0
wcwidth==0.2.13
Additional context
This seems specific to the numpy set_printoptions function.
If I print a long string in the bpython console, it does not truncate at ~70 characters like the numpy array:
>>> print('x'*100)
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx