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SWE-bench Verified, all 500 instances · Haiku 4.5 agent · official test grading · held out from every mining pool
A Haiku 4.5 agent works in a repository by issuing bash commands. Four settings differ only in what answers those commands:
The router is a fixed rule, not a model. The command string is split on every bash separator (\n ; && || | &), heredoc bodies are dropped and wrapper prefixes (sudo, timeout N, VAR=x) skipped; a command is code execution if any segment's first word is an interpreter or test runner (python, pytest, tox, make, manage.py, runtests.py, bash, sh, …), a script or repo executable (./run.sh, /testbed/bin/x), or contains a substitution / xargs / find -exec that runs one. Everything else — cat, ls, grep, sed -i, git, heredoc writes — is a read or edit and goes to the interpreter. A mixed command such as cat > t.py <<EOF … EOF && python t.py counts as execution.
The CWM (Haiku 4.5 or Opus 5) reads the task, the agent's current diff and the command, grades the diff against the 12 rubrics retrieved from the mined library (nearest to the task, the files the diff touches and the command; in the hybrid arms a standing task criterion — “does the change implement what the issue asks?” — is added to the list) and returns the per-rubric verdict. Files written by a run are quarantined so the agent cannot read the output back; every trajectory is audited for leakage. No setting ever sees the hidden grading tests.
Dashed lines: interpreter (72.4%) and no-code-execution (62.8%). A re-run of the interpreter baseline on GKE (the infrastructure every CWM arm used) resolved 355/500 = 71.0%, within noise of the original 362 (paired 22 win / 29 lose, p = 0.40). Paired on shared instances, exact McNemar, win / lose vs no code execution (314/500): interpreter 70 / 22 (p < 0.0001); hybrid Opus · 1000 rubrics 79 / 14 (p < 0.0001); hybrid Haiku · 1000 rubrics 37 / 36 (p = 1.00). “Task only” = the CWM grades against the standing task criterion alone, no library. Hybrid Opus library size: 10 vs 1000 rubrics 33 / 18 (p = 0.049) — more rubrics is slightly worse; task-only vs 1000 rubrics 31 / 27 (p = 0.69). Retrieval control: 12 random rubrics vs the 12 retrieved 20 / 26 (p = 0.46) — retrieval carries no measurable information. Simulator (Haiku writes what the run would have printed, no rubrics): pure 28 / 60 (p = 0.00) vs the floor; given the real exit code 40 / 46 (p = 0.59).
Median wall-clock per instance from pod start to submission (minutes), measured from the run logs; the label under each bar gives the concurrency the arm ran at (LLM calls per instance are in the next chart). Wall clock depends on concurrency and API load as well as on the arm: the no-code-execution run used 350 workers and its agents ran longer (78 calls) with nothing to stop them; the hybrid Opus arms ran at 60 workers. The interpreter bar is a re-run of the baseline on GKE (100 workers, same infrastructure as the CWM arms); the all-CWM 10/100 libraries ran on Modal and have no per-instance timings; the all-CWM 1000 bar is a 6-instance re-run. The simulator arms are slow because every run is an LLM call and the agent keeps iterating on the simulated output.
Every agent command classified by the routing rule (inner ring: interpreter vs code execution) and by type (outer ring). "Write file" = heredoc / echo redirects; "edit / file ops" = sed -i, mv, cp, patch.
Per-command wall time recorded in the pod for every command the interpreter agent ran. Only execution commands (the ones a world model would answer) are shown; reads and edits are excluded. An Opus fast-mode grade takes about 10-20 s, a Haiku grade about 3-5 s.
| benchmark | instances | median wall clock | execution time / instance | share of wall | exec. commands / instance | median exec. command | exec. commands ≥ 10 s / instance |
|---|---|---|---|---|---|---|---|
| SWE-bench Verified | 60 | 2.6 min | 0.6 min | 24% | 23 | 1.1 s | 0.2 |
| SWE-bench Pro | 150 | 4.2 min | 1.1 min | 25% | 15 | 0.8 s | 1.1 |
| SWE-fficiency | 497 | 8.7 min | 10.8 min | 124% | 39 | 2.2 s | 5.9 |
How many execution commands an instance issues in each duration bucket. A grade call sits in the 10-60 s bucket.
Where the execution minutes are: on SWE-bench almost all commands finish in under 3 s and the few long ones are rare; on SWE-fficiency the minutes are in the 1-10 min and >10 min runs (rebuilds, workload timings, test suites).
In the all-CWM configuration the CWM answered every command — cat, ls, grep, the result of an edit — with a rubric verdict on the current diff. The agent never saw a line of source: it could not find the file that implements the reported behaviour, could not check what an edit did, and typically submitted an empty or misplaced patch. Bash-only restores the code: the agent reads the implementation, reasons about the issue statically, edits, and re-reads its edit. On SWE-bench Verified that alone resolves 63.6%; real execution of its own probes adds the remaining 8.8 points. The trace pair below shows the same instance under both.
Same instance, two settings. astropy__astropy-13579 (sliced WCS: world_to_pixel returns wrong values for a sliced SlicedLowLevelWCS). Left: all-CWM — every find/cat/grep is answered with a rubric verdict on an empty diff, the agent never sees a file, never edits, and submits nothing. Right: no code execution — reads and edits are real, runs return nothing; the agent locates sliced_wcs.py, reasons through the fix statically and submits a patch that passes the hidden tests. Observations are truncated to 500 characters; scroll each panel for the full trace.
$ find /testbed -type f -name "*.py" | grep -i wcs | grep -i sliced | head -20$ find /testbed -type f -name "*sliced*" | head -20$ find /testbed -path "*wcsapi*" -name "*.py" | head -20$ find /testbed -type d -name "wcsapi" | head -10$ cd /testbed && find . -name "*.py" | xargs grep -l "SlicedLowLevelWCS" | head -10$ ls -la /testbed/$ pwd && ls -la$ cd /testbed && ls -la | head -30$ cd /testbed && ls 2>&1 | head -50$ echo "Testing"; pwd$ cat > /tmp/reproduce_issue.py << 'EOF'
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
print("Full WCS world_to_pixel:")
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec, frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
result = fits_wcs.world_to_pixel(pt, 1.05*u.angstrom)
print(f" Result: {result}")
print("\nSliced WCS world_to_pixel:")
ll_sliced_wcs = astropy.wcs.wcsapi.SlicedLowLevelWCS(fits_wcs, 0)
hl_sliced_wcs = astropy.wcs.wcsapi.HighLevelWCSWrapper(ll_sliced_wcs)
result_sliced = hl_sliced_wcs.world_to_pixel(pt)
print(f" Result: {result_sliced}")
print("\nFull WCS pixel_to_$ find /testbed -name "*.py" -type f -exec grep -l "SlicedLowLevelWCS" {} \;$ find /testbed -path "*astropy/wcs*" -name "*.py" -type f | head -30$ find /testbed -type d -name "wcs" | head -5$ python3 << 'EOF'
import astropy.wcs
import inspect
import os
# Find the location of SlicedLowLevelWCS
from astropy.wcs.wcsapi import SlicedLowLevelWCS
source_file = inspect.getsourcefile(SlicedLowLevelWCS)
print(f"SlicedLowLevelWCS is defined in: {source_file}")
# Let's also look at the module structure
print(f"\nastropy.wcs module location: {astropy.wcs.__file__}")
EOF$ python3 -c "from astropy.wcs.wcsapi import SlicedLowLevelWCS; import inspect; print(inspect.getsourcefile(SlicedLowLevelWCS))"$ python3 -c "from astropy.wcs.wcsapi import SlicedLowLevelWCS; import inspect; print(inspect.getsourcefile(SlicedLowLevelWCS))" > /tmp/src_file.txt && cat /tmp/src_file.txt$ cat /tmp/src_file.txt$ ls -la /testbed/astropy/wcs/wcsapi/ 2>/dev/null || echo "Path not found"$ cat /testbed/astropy/wcs/wcsapi/sliced_wcs.py | head -100$ wc -l /testbed/astropy/wcs/wcsapi/sliced_wcs.py$ find /testbed/astropy/wcs -name "*.py" | sort > /tmp/wcs_files.txt && cat /tmp/wcs_files.txt | tail -30$ cat /tmp/wcs_files.txt$ cat > /tmp/find_sliced.py << 'EOF'
import os
import sys
for root, dirs, files in os.walk('/testbed/astropy/wcs'):
for file in files:
if file.endswith('.py'):
fpath = os.path.join(root, file)
with open(fpath, 'r') as f:
content = f.read()
if 'SlicedLowLevelWCS' in content and 'class SlicedLowLevelWCS' in content:
print(f"Found: {fpath}")
EOF
python /tmp/find_sliced.py$ cat > /tmp/check_paths.py << 'EOF'
import os
# Check if the wcsapi directory exists
wcsapi_dir = '/testbed/astropy/wcs/wcsapi'
if os.path.isdir(wcsapi_dir):
print("wcsapi directory found")
files = os.listdir(wcsapi_dir)
for f in files:
print(f" {f}")
else:
print("wcsapi directory NOT found")
# Check what's in wcs
wcs_dir = '/testbed/astropy/wcs'
if os.path.isdir(wcs_dir):
print("\nWCS directory contents:")
files = os.listdir(wcs_dir)
for f in files:
print(f" {f}")
EOF
python /tmp/check_paths.py > /tmp/paths_output.txt 2>&1
cat /tmp/paths_output.txt$ file /testbed/astropy/wcs/wcsapi/sliced_wcs.py$ head -200 /testbed/astropy/wcs/wcsapi/sliced_wcs.py > /tmp/sliced_head.txt 2>&1; head -50 /tmp/sliced_head.txt$ cat > /tmp/analyze_bug.py << 'EOF'
"""
Analysis of the bug:
The issue is in SlicedLowLevelWCS.world_to_pixel() when handling sliced WCS.
When slicing a 3D WCS (with dimensions space, space, wavelength), the issue
is that the PC matrix and related transformations are not being properly
adjusted when slicing out a dimension.
The PC matrix is:
PC1_1: 0.0, PC1_2: -1.0, PC1_3: 0.0
PC2_1: 1.0, PC2_2: 0.0, PC2_3: -1.0
PC3_1: 0.0, PC3_2: 0.0, PC3_3: 1.0
When we slice to remove the 3rd dimension (wavelength), we need to also
remove the corresponding row and column from the PC matrix.
The bug is likely in how SlicedLowLevelWCS.array_index_to_world_values()
or similar methods handle the PC matrix transformation.
"""
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Ang$ sed -n '1,100p' /testbed/astropy/wcs/wcsapi/sliced_wcs.py$ python3 << 'PYEOF'
with open('/testbed/astropy/wcs/wcsapi/sliced_wcs.py', 'r') as f:
lines = f.readlines()
for i, line in enumerate(lines[:150], 1):
print(f"{i:3d}: {line}", end='')
PYEOF$ cp /testbed/astropy/wcs/wcsapi/sliced_wcs.py /tmp/sliced_wcs_copy.py && wc -l /tmp/sliced_wcs_copy.py$ find /testbed -name "sliced_wcs.py" -o -name "*sliced*.py" | head -20$ grep -r "class SlicedLowLevelWCS" /testbed/astropy --include="*.py"$ cd /testbed && git log --oneline | head -5$ cd /testbed && git ls-files | grep -i wcsapi | head -20$ cd /testbed && git ls-files | grep sliced | head -20$ cd /testbed && git show HEAD:astropy/wcs/wcsapi/sliced_wcs.py | head -100$ cd /testbed && git show HEAD:astropy/wcs/wcsapi/sliced_wcs.py > /tmp/sliced_wcs_source.py 2>&1$ cd /testbed && git ls-files --full-name 2>&1 | grep "wcs" | head -30 > /tmp/wcs_files_git.txt && echo "Written to /tmp/wcs_files_git.txt"$ python3 > /tmp/debug_output.txt 2>&1 << 'PYEOF'
import subprocess
result = subprocess.run(['git', 'ls-files', '--full-name'], cwd='/testbed', capture_output=True, text=True)
wcs_files = [f for f in result.stdout.split('\n') if 'wcs' in f.lower()]
print("WCS Files:")
for f in wcs_files[:30]:
print(f" {f}")
PYEOF$ cat > /tmp/find_wcsapi.py << 'PYEOF'
import os
import sys
# Try to import and get the source
try:
from astropy.wcs.wcsapi import SlicedLowLevelWCS
import inspect
source_file = inspect.getsourcefile(SlicedLowLevelWCS)
with open(source_file, 'r') as f:
content = f.read()
# Write to a file
with open('/tmp/sliced_wcs_actual.py', 'w') as f:
f.write(content)
print(f"SUCCESS: Written {len(content)} bytes to /tmp/sliced_wcs_actual.py")
print(f"Source file: {source_file}")
except Exception as e:
print(f"ERROR: {e}")
import traceback
traceback.print_exc()
PYEOF
python3 /tmp/find_wcsapi.py$ head -100 /tmp/sliced_wcs_actual.py$ cat > /tmp/find_and_read_source.py << 'PYEOF'
import os
import sys
# Search for files containing SlicedLowLevelWCS
search_dir = '/testbed'
found_file = None
for root, dirs, files in os.walk(search_dir):
# Skip __pycache__ and .git
dirs[:] = [d for d in dirs if d not in ['__pycache__', '.git', '.pytest_cache']]
for file in files:
if file.endswith('.py'):
filepath = os.path.join(root, file)
try:
with open(filepath, 'r', errors='ignore') as f:
content = f.read()
if 'class SlicedLowLevelWCS' in content:
found_file = filepath
print(f"Found SlicedLowLevelWCS in: {filepath}")
break
except:
pass
if found_file:
break
if found_file:
with open(found_file, 'r') as f:
content = f.read()
# Write to /tmp for analysis
with open('/tmp/sliced_source.txt', 'w') as f:
f.write(found_file + '\n')
f.write('='*80 + '\n')
f.write(content[:2000])
else:
with open('/tmp/sliced_source.txt', 'w') as f:
f.write("NOT FOUND\n")
prin$ python3 << 'PYEOF'
# Let's find the file and then make a test
try:
from astropy.wcs.wcsapi.sliced_wcs import SlicedLowLevelWCS
print("Imported from astropy.wcs.wcsapi.sliced_wcs")
except:
try:
from astropy.wcs.wcsapi import SlicedLowLevelWCS
print("Imported from astropy.wcs.wcsapi")
import astropy.wcs.wcsapi as wcsapi
import inspect
members = inspect.getmembers(wcsapi)
for name, obj in members:
if 'Sliced' in name:
print(f"Found: {name}")
print(f" Module: {inspect.getfile(obj)}")
except Exception as e:
print(f"Error: {e}")
PYEOF$ cat > /tmp/find_and_fix.py << 'PYEOF'
import os
import sys
# Find the sliced_wcs.py file
search_dir = '/testbed'
target_file = None
for root, dirs, files in os.walk(search_dir):
dirs[:] = [d for d in dirs if d not in ['__pycache__', '.git', '.pytest_cache']]
for file in files:
if file == 'sliced_wcs.py':
filepath = os.path.join(root, file)
try:
with open(filepath, 'r') as f:
content = f.read()
if 'SlicedLowLevelWCS' in content:
target_file = filepath
print(f"Found: {filepath}")
except:
pass
if target_file:
print(f"Target file to edit: {target_file}")
else:
print("No target file found")
# Try alternate locations
alt_paths = [
'/testbed/astropy/wcs/wcsapi/sliced_wcs.py',
'/testbed/astropy/wcs/wcsapi/low_level_api.py',
]
for p in alt_paths:
if os.path.exists(p):
print(f" Found: {p}")
PYEOF
python3 /tmp/find_and_fix.py$ ls /testbed/astropy/wcs/wcsapi/$ python3 -c "import os; files = os.listdir('/testbed/astropy/wcs/wcsapi/'); print('\\n'.join(sorted(files)))" > /tmp/wcsapi_files.txt 2>&1; cat /tmp/wcsapi_files.txt$ test -d /testbed/astropy/wcs/wcsapi && echo "Directory exists" || echo "Directory does not exist"$ ls /testbed/astropy/wcs/wcsapi/ 1>/tmp/dir_list.txt 2>/tmp/dir_err.txt; head -30 /tmp/dir_list.txt$ cat > /tmp/make_fix.py << 'ENDPYTHON'
import os
import sys
# First, let's find the file
target_files = [
'/testbed/astropy/wcs/wcsapi/sliced_wcs.py',
'/testbed/astropy/wcs/wcsapi/low_level_api.py'
]
sliced_file = None
for f in target_files:
if os.path.exists(f):
sliced_file = f
break
if not sliced_file:
# Search recursively
for root, dirs, files in os.walk('/testbed/astropy/wcs'):
dirs[:] = [d for d in dirs if d not in ['__pycache__', '.git']]
for file in files:
if file.endswith('.py'):
filepath = os.path.join(root, file)
try:
with open(filepath, 'r') as f:
content = f.read()
if 'class SlicedLowLevelWCS' in content:
sliced_file = filepath
break
except:
pass
if sliced_file:
break
if sliced_file:
sys.stderr.write(f"Found file: {sliced_file}\n")
sys.stderr.flush()
with open(sliced_file, 'r') as f:
content = f.read()
# Show first 1000 chars
sys.stderr.write(f"\nFirst 500 chars:\n{conte$ python3 2>&1 <<'PYEOF' || true
import os
import sys
# Find file
target = '/testbed/astropy/wcs/wcsapi/sliced_wcs.py'
if os.path.exists(target):
print(f"FILE EXISTS: {target}")
else:
print(f"NOT FOUND: {target}")
# Try to find it
for root, dirs, files in os.walk('/testbed/astropy/wcs'):
for f in files:
if 'sliced' in f.lower() and f.endswith('.py'):
print(f"FOUND: {os.path.join(root, f)}")
PYEOF$ python3 -c "
from astropy.wcs.wcsapi import SlicedLowLevelWCS
import sys
sys.stdout.flush()
" 2>&1 | cat$ python3 -c "from astropy.wcs.wcsapi.low_level_api import SlicedLowLevelWCS" 2>&1 && echo "low_level_api" || python3 -c "from astropy.wcs.wcsapi.sliced_wcs import SlicedLowLevelWCS" 2>&1 && echo "sliced_wcs" || python3 -c "import astropy.wcs.wcsapi; print(dir(astropy.wcs.wcsapi))" 2>&1$ find /testbed/astropy/wcs -type f -name "*.py" -exec grep -l "class SlicedLowLevelWCS" {} \;$ python3 << 'PYEOF'
import subprocess
result = subprocess.run(
['find', '/testbed/astropy/wcs', '-type', 'f', '-name', '*.py', '-exec', 'grep', '-l', 'class SlicedLowLevelWCS', '{}', ';'],
capture_output=True,
text=True
)
with open('/tmp/found_files.txt', 'w') as f:
f.write(result.stdout)
f.write(result.stderr)
PYEOF
cat /tmp/found_files.txt$ cp /testbed/astropy/wcs/wcsapi/low_level_api.py /testbed/astropy/wcs/wcsapi/low_level_api.py.bak$ python3 << 'PYEOF'
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find where SlicedLowLevelWCS class is defined
for i, line in enumerate(lines):
if 'class SlicedLowLevelWCS' in line:
print(f"Line {i+1}: {line.strip()}")
# Print next 50 lines
for j in range(i, min(i+50, len(lines))):
print(f"{j+1:4d}: {lines[j]}", end='')
break
PYEOF$ python3 << 'PYEOF' > /tmp/source_analysis.txt 2>&1
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find where SlicedLowLevelWCS class is defined
for i, line in enumerate(lines):
if 'class SlicedLowLevelWCS' in line:
print(f"Line {i+1}: {line.strip()}")
# Print next 100 lines
for j in range(i, min(i+100, len(lines))):
print(f"{j+1:4d}: {lines[j]}", end='')
break
PYEOF
wc -l /tmp/source_analysis.txt
head -200 /tmp/source_analysis.txt$ python3 << 'PYEOF'
# Read the file and save to an analysis dict
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Find the world_to_pixel method in SlicedLowLevelWCS
if 'def world_to_pixel' in content:
# Find the method's line number
lines = content.split('\n')
for i, line in enumerate(lines):
if 'def world_to_pixel' in line and i > 500: # Ensure it's in the Sliced class
# Write out context
with open('/tmp/method_context.txt', 'w') as f:
for j in range(max(0, i-10), min(len(lines), i+50)):
f.write(f"{j+1:4d}: {lines[j]}\n")
break
# Now let's look for the array_index_to_world_values method
if 'def array_index_to_world_values' in content:
lines = content.split('\n')
for i, line in enumerate(lines):
if 'def array_index_to_world_values' in line:
with open('/tmp/array_method_context.txt', 'w') as f:
for j in range(max(0, i-5), min(len(lines), i+50)):
f.write(f"{j+1:4d}: {lines[j]}\n")
break
print("Files written")
PYEOF$ cat /tmp/method_context.txt /tmp/array_method_context.txt 2>/dev/null | head -100$ python3 << 'PYEOF'
# Save the entire file content to a text file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Write to a file we can analyze
with open('/tmp/full_low_level_api.txt', 'w') as f:
lines = content.split('\n')
for i, line in enumerate(lines, 1):
f.write(f"{i:4d}: {line}\n")
print(f"Wrote {len(lines)} lines")
PYEOF$ grep -n "class SlicedLowLevelWCS\|def world_to_pixel\|def array_index_to_world_values" /tmp/full_low_level_api.txt | head -30$ sed -n '1,100p' /tmp/full_low_level_api.txt$ python3 << 'PYEOF'
import re
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Find the SlicedLowLevelWCS class and related methods
class_match = re.search(r'class SlicedLowLevelWCS.*?(?=\nclass |\Z)', content, re.DOTALL)
if class_match:
class_content = class_match.group()
# Check for world_to_pixel method
world_to_pixel_match = re.search(r'def world_to_pixel\(.*?\n(?:.*?\n)*?(?=\s{0,4}def |\Z)', class_content, re.DOTALL)
if world_to_pixel_match:
with open('/tmp/world_to_pixel_method.txt', 'w') as f:
f.write(world_to_pixel_match.group()[:2000])
# Check for array_index_to_world_values
array_method_match = re.search(r'def array_index_to_world_values\(.*?\n(?:.*?\n)*?(?=\s{0,4}def |\Z)', class_content, re.DOTALL)
if array_method_match:
with open('/tmp/array_index_to_world_values_method.txt', 'w') as f:
f.write(array_method_match.group()[:2000])
# Check for __init__
init_match = re.search(r'def __init__\(.*?\n(?:.*?\n)*?(?=\s{0,4}def |\Z)', class_content, re.DOTALL)
if init_match:
with open('/tmp/init_method.txt', 'w') as f$ for file in /tmp/analysis_info.txt /tmp/world_to_pixel_method.txt /tmp/array_index_to_world_values_method.txt /tmp/init_method.txt; do
if [ -f "$file" ]; then
echo "=== $file ==="
head -50 "$file"
echo ""
fi
done$ python3 << 'PYEOF'
"""
Based on the PR description, the issue is:
When slicing a 3D WCS (space, space, wavelength) with a non-trivial PC matrix that couples
spatial and spectral dimensions, the world_to_pixel() method on a sliced 2D WCS returns
an erroneous result for one dimension.
The issue is that when slicing, the PC matrix needs to be updated properly to only include
the relevant rows and columns for the sliced dimensions.
Key insight from the PR:
- Full WCS (3D): world_to_pixel(pt, 1.05*u.angstrom) works correctly
- Sliced WCS (2D): world_to_pixel(pt) gives essentially infinite values
The PC matrix is 3x3 with couplings. When reducing from 3D to 2D, we must properly
update the PC matrix and related transformations.
Let me analyze the SlicedLowLevelWCS class...
"""
import inspect
from astropy.wcs.wcsapi import SlicedLowLevelWCS
# Get the source
source = inspect.getsource(SlicedLowLevelWCS)
lines = source.split('\n')
# Find where world_to_pixel is defined
with open('/tmp/sliced_source_full.txt', 'w') as f:
for i, line in enumerate(lines, 1):
f.write(f"{i:4d}: {line}\n")
# Also create a test to understand the bug
with open('/tmp/test_understanding.txt', 'w')$ wc -l /tmp/sliced_source_full.txt && head -150 /tmp/sliced_source_full.txt$ python3 > /tmp/patch_plan.txt 2>&1 << 'PYEOF'
import inspect
from astropy.wcs.wcsapi import SlicedLowLevelWCS
# Get source
source_lines = inspect.getsource(SlicedLowLevelWCS).split('\n')
# Find critical methods
methods_to_find = ['world_to_pixel', 'array_index_to_world_values', 'pixel_to_world_values']
method_lines = {}
for method_name in methods_to_find:
for i, line in enumerate(source_lines):
if f'def {method_name}(' in line:
method_lines[method_name] = i
print(f"Found {method_name} at line {i+1}")
print(f"\nTotal lines in SlicedLowLevelWCS: {len(source_lines)}")
# Write a section to help understand the issue
print("\n=== ISSUE ANALYSIS ===")
print("The bug is in how SlicedLowLevelWCS handles the PC matrix during slicing.")
print("When slicing removes a dimension, the PC matrix must be updated to remove")
print("the corresponding rows and columns.")
PYEOF
cat /tmp/patch_plan.txt$ python3 << 'PYEOF'
import os
# First, let me back up the file
os.system('cp /testbed/astropy/wcs/wcsapi/low_level_api.py /testbed/astropy/wcs/wcsapi/low_level_api.py.backup')
# Now read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Let me search for the array_index_to_world_values method in SlicedLowLevelWCS
# First find the class definition
import re
# Find SlicedLowLevelWCS class
class_start = content.find('class SlicedLowLevelWCS')
if class_start == -1:
print("ERROR: Could not find SlicedLowLevelWCS class")
else:
# Find the next class definition to know where this class ends
next_class = content.find('\nclass ', class_start + 1)
if next_class == -1:
class_content = content[class_start:]
else:
class_content = content[class_start:next_class]
# Find array_index_to_world_values in this class
method_search = 'def array_index_to_world_values('
if method_search in class_content:
print("Found array_index_to_world_values method")
method_start = class_content.find(method_search)
method_context = class_content[method_start:method_start+1000]
$ test -f /tmp/array_method_found.txt && wc -l /tmp/array_method_found.txt && head -50 /tmp/array_method_found.txt$ python3 << 'PYEOF'
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find SlicedLowLevelWCS
for i, line in enumerate(lines):
if 'class SlicedLowLevelWCS' in line:
# Print surrounding context
start = max(0, i - 2)
end = min(len(lines), i + 200)
with open('/tmp/class_section.txt', 'w') as out:
for j in range(start, end):
out.write(f"{j+1:5d}: {lines[j]}")
break
print(f"Found at line {i+1}")
PYEOF$ sed -n '1,50p' /tmp/class_section.txt$ python3 << 'PYEOF'
try:
with open('/tmp/class_section.txt', 'r') as f:
content = f.read()
with open('/tmp/class_section_read.txt', 'w') as f:
f.write(f"File size: {len(content)} bytes\n")
f.write("First 2000 characters:\n")
f.write(content[:2000])
except Exception as e:
with open('/tmp/class_section_read.txt', 'w') as f:
f.write(f"Error: {e}\n")
PYEOF
cat /tmp/class_section_read.txt$ python3 << 'PYEOF'
import sys
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
full_content = f.read()
# Find the SlicedLowLevelWCS class
import re
# Pattern to find the class definition
pattern = r'class SlicedLowLevelWCS\(.*?\):\s*\n(.*?)(?=\nclass |\Z)'
match = re.search(pattern, full_content, re.DOTALL)
if match:
class_body_start = match.start(1)
class_body_content = match.group(1)
# Look for the world_to_pixel method definition
world_to_pixel_pattern = r'def world_to_pixel\(self.*?\):\s*\n(.*?)(?=\n def |\Z)'
w2p_match = re.search(world_to_pixel_pattern, class_body_content, re.DOTALL)
if w2p_match:
sys.stderr.write("Found world_to_pixel method\n")
sys.stderr.flush()
method_text = w2p_match.group(0)[:1000]
with open('/tmp/w2p_method_content.txt', 'w') as f:
f.write(method_text)
else:
sys.stderr.write("world_to_pixel not found, looking for other methods...\n")
sys.stderr.flush()
# Check what methods exist
method_pattern = r'def \w+\(self'
methods = re.findall(method_pattern, class_body_content)$ for f in /tmp/w2p_method_content.txt /tmp/found_methods.txt /tmp/sliced_search_error.txt; do
if [ -f "$f" ]; then
echo "=== $(basename $f) ==="
cat "$f"
echo ""
fi
done | tee /tmp/search_results.txt$ python3 << 'PYEOF'
# Read the entire file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find the line number for SlicedLowLevelWCS
sliced_line = None
for i, line in enumerate(lines):
if 'class SlicedLowLevelWCS' in line:
sliced_line = i
break
if sliced_line is not None:
# Print lines around it
start = max(0, sliced_line)
end = min(len(lines), sliced_line + 300)
result = []
for j in range(start, end):
result.append(f"{j+1:5d}: {lines[j]}")
# Write to file
with open('/tmp/sliced_class_content.py', 'w') as f:
f.writelines(result)
print(f"Written {len(result)} lines to /tmp/sliced_class_content.py")
print(f"Class found at line {sliced_line + 1}")
else:
print("Class not found")
PYEOF$ head -100 /tmp/sliced_class_content.py 2>&1 || echo "File not readable in normal way"$ python3 << 'PYEOF'
import sys
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find the line containing "def world_to_pixel" in SlicedLowLevelWCS
found_index = -1
for i, line in enumerate(lines):
if 'def world_to_pixel' in line:
# Check if we're in SlicedLowLevelWCS (by looking backwards)
for j in range(i, max(0, i-50), -1):
if 'class SlicedLowLevelWCS' in lines[j]:
found_index = i
break
if found_index != -1:
print(f"Found world_to_pixel at line {found_index + 1}")
with open('/tmp/fix_location.txt', 'w') as f:
f.write(f"Line {found_index + 1}\n")
for j in range(found_index, min(found_index + 50, len(lines))):
f.write(f"{j+1:5d}: {lines[j]}")
else:
print("world_to_pixel not found in SlicedLowLevelWCS")
with open('/tmp/fix_location.txt', 'w') as f:
f.write("world_to_pixel method not found\n")
f.write("Checking what methods exist:\n")
for i, line in enumerate(lines):
if 'def ' in line and i > 500: # Assuming SlicedLowLevelWCS is after line 500
f.write(f"{i+1}: $ python3 << 'PYEOF'
with open('/tmp/fix_location.txt', 'r') as f:
content = f.read()
with open('/tmp/fix_location_copy.txt', 'w') as f:
f.write(content)
print(f"File size: {len(content)} bytes")
PYEOF
cat /tmp/fix_location_copy.txt | head -100$ cat > /tmp/apply_fix.py << 'ENDPYTHON'
#!/usr/bin/env python3
"""
Fix for the SlicedLowLevelWCS.world_to_pixel() issue.
The problem: When slicing a 3D WCS with a non-trivial PC matrix,
the world_to_pixel() call on the 2D sliced WCS returns erroneous
results because the PC matrix is not properly adjusted for the
sliced dimensions.
The solution: When creating a SlicedLowLevelWCS, we need to ensure
that the output_frame's world_to_pixel method properly handles the
coordinate transformation by accounting for the removed dimensions.
"""
import re
def apply_fix():
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# The fix: Look for the array_index_to_world_values method in SlicedLowLevelWCS
# and ensure it properly handles the PC matrix during transformation
# First, let's find where array_index_to_world_values is defined
pattern = r'(class SlicedLowLevelWCS.*?def array_index_to_world_values\(self.*?\n(?:.*?\n)*?\s+return.*?\n)'
matches = list(re.finditer(pattern, content, re.DOTALL))
if not matches:
print("Pattern not found, trying alternative")
# Try fi$ for f in /tmp/w2p_found.txt /tmp/methods_list.txt /tmp/matches_found.txt; do
if [ -f "$f" ]; then
echo "=== $f ==="
cat "$f" 2>&1 | head -50
echo ""
fi
done | tee /tmp/all_results.txt$ ls -la /tmp/*.txt | tail -20$ python3 << 'ENDPYTHON'
import re
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# The issue is in how SlicedLowLevelWCS handles the coordinate transformation.
# Based on the PR description, when world_to_pixel is called on a sliced 2D WCS,
# it should properly map the coordinates through the output_frame.
# Let's look for where the problem likely is: the array_index_to_world_values
# or world_to_pixel method that doesn't properly account for sliced dimensions.
# Find the SlicedLowLevelWCS class
sliced_pattern = r'class SlicedLowLevelWCS\(.*?\):(.*?)(?=\nclass |\Z)'
sliced_match = re.search(sliced_pattern, content, re.DOTALL)
if sliced_match:
class_content = sliced_match.group(1)
# Find where __init__ is defined to understand the structure
init_pattern = r'def __init__\(self(.*?)(?=\n def )'
init_match = re.search(init_pattern, class_content, re.DOTALL)
if init_match:
init_body = init_match.group(1)
# Write to file for analysis
with open('/tmp/init_body.txt', 'w') as f:
f.write(init_body[:2000])
# Check what instance variables are se$ python3 << 'ENDPYTHON'
import re
# Read the original file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Find and analyze the SlicedLowLevelWCS.array_index_to_world_values method
# This is where the bug likely is
# Pattern to find the method
pattern = r'(class SlicedLowLevelWCS.*?)(def array_index_to_world_values\(self, pixel_arrays\):.*?)(\n def )'
match = re.search(pattern, content, re.DOTALL)
if match:
print("Found array_index_to_world_values in SlicedLowLevelWCS")
method_section = match.group(2)
# Write the method for analysis
with open('/tmp/array_method_full.txt', 'w') as f:
f.write(method_section[:3000])
# Check if the method calls self.output_frame.array_index_to_world_values
if 'self.output_frame.array_index_to_world_values' in method_section:
print("Found call to self.output_frame.array_index_to_world_values")
# Check if pixel_arrays are properly handled
if 'pixel_arrays' in method_section:
print("Method uses pixel_arrays")
# The issue might be here: when we have sliced dimensions,
# the pixel_arrays need to be properly ma$ python3 << 'PYEOF'
import os
# List files that were just created
files = [
'/tmp/array_method_full.txt',
'/tmp/pixel_array_slicings.txt',
'/tmp/world_to_pixel_full.txt'
]
for f in files:
if os.path.exists(f):
with open(f, 'r') as fp:
content = fp.read()
# Save summary
summary_file = f + '.summary'
with open(summary_file, 'w') as fp:
fp.write(f"File: {f}\n")
fp.write(f"Size: {len(content)} bytes\n")
fp.write(f"First 500 chars:\n{content[:500]}\n")
fp.write(f"\n...\n")
fp.write(f"Last 200 chars:\n{content[-200:]}\n")
else:
with open(f + '.notfound', 'w') as fp:
fp.write(f"File not found: {f}\n")
print("Summary files created")
PYEOF$ python3 << 'PYEOF'
import os
import glob
# Find all .summary files
summary_files = glob.glob('/tmp/*.summary')
for f in summary_files[-5:]:
with open(f, 'r') as fp:
print(fp.read())
print("\n" + "="*80 + "\n")
PYEOF$ python3 << 'ENDPYTHON'
"""
The fix for the SlicedLowLevelWCS bug:
When array_index_to_world_values is called, it needs to properly handle
the case where the underlying WCS has coupled dimensions (via PC matrix).
The issue is that when slicing out a dimension, the pixel_arrays passed
to the output_frame's array_index_to_world_values method may need to be
adjusted to account for which dimensions are being used.
Looking at the PR description:
- The full 3D WCS works correctly
- The 2D sliced WCS fails with one coordinate becoming essentially infinite
This suggests the issue is in how the CRPIX or pixel coordinates are being
mapped when we have a PC matrix that couples dimensions.
The fix needs to ensure that when we slice and remove a dimension,
the pixel arrays are correctly positioned in the output frame's
coordinate system.
"""
import re
# Read the file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Strategy: Look for array_index_to_world_values in SlicedLowLevelWCS
# and ensure it properly expands pixel_arrays to the full dimensionality
# before calling the underlying WCS transformation
# First, find where the method currentl$ python3 << 'ENDPYTHON'
"""
Applying the fix for SlicedLowLevelWCS.world_to_pixel()
The issue is that when world_to_pixel is called on a sliced WCS,
the pixel coordinates need to be correctly positioned relative to
the original WCS dimensions.
The key insight is that pixel_arrays in array_index_to_world_values
need to be adjusted to the full dimensionality of the output_frame
before transformation, accounting for any skipped (sliced out) dimensions.
"""
import re
# Read file
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Find the array_index_to_world_values method and fix it
# The fix is to ensure pixel_arrays is properly expanded when needed
# Pattern to find and replace
old_pattern = r'( def array_index_to_world_values\(self, pixel_arrays\):.*?)( return self\.output_frame\.array_index_to_world_values\(\s*pixel_arrays\s*\))'
# New version that properly handles sliced dimensions
# We need to insert pixel values for the sliced dimensions at their CRPIX values
new_code = r'''\1 # When dimensions are sliced out, we need to insert values for those
# dimensions at their reference pixel (CRPIX) for the transfor$ grep -l "Fix applied successfully\|Alternative pattern\|patterns_not_found\|method_found" /tmp/*.txt 2>/dev/null | head -1 | xargs cat 2>/dev/null | head -30$ python3 << 'ENDPYTHON'
"""
Direct fix for SlicedLowLevelWCS bug - focusing on the array_index_to_world_values method.
The issue: When slicing a 3D WCS with coupled PC matrix, world_to_pixel() on 2D slice
returns erroneous results.
Root cause: The pixel arrays being passed to the underlying output_frame need to account
for the fact that when dimensions are sliced out, the coordinate system is different.
Solution: In array_index_to_world_values, we need to properly reconstruct the pixel
coordinates for the full dimensionality before calling the transformation.
"""
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
lines = f.readlines()
# Find the SlicedLowLevelWCS class and its array_index_to_world_values method
in_class = False
in_method = False
method_start_line = None
method_indent = None
for i, line in enumerate(lines):
if 'class SlicedLowLevelWCS' in line:
in_class = True
class_start = i
if in_class and 'def array_index_to_world_values' in line:
in_method = True
method_start_line = i
# Determine indentation level
method_indent = len(line) - len(line.lstrip())
print(f"Found method $ test -f /tmp/fix_status.txt && cat /tmp/fix_status.txt$ git -C /testbed diff astropy/wcs/wcsapi/low_level_api.py | head -100$ cd /testbed && git diff astropy/wcs/wcsapi/low_level_api.py > /tmp/patch_output.txt 2>&1; head -200 /tmp/patch_output.txt$ python3 << 'PYEOF'
with open('/tmp/patch_output.txt', 'r') as f:
content = f.read()
with open('/tmp/patch_display.txt', 'w') as f:
f.write(f"Patch file size: {len(content)} bytes\n")
f.write(f"First 3000 characters:\n")
f.write(content[:3000])
if len(content) > 3000:
f.write(f"\n\n...truncated...\n\n")
f.write(f"Last 1000 characters:\n")
f.write(content[-1000:])
print("Wrote patch display")
PYEOF
cat /tmp/patch_display.txt$ cd /testbed && git status astropy/wcs/wcsapi/low_level_api.py && wc -l astropy/wcs/wcsapi/low_level_api.py$ python3 /tmp/reproduce_issue.py 2>&1 | tee /tmp/test_output.txt$ cat /tmp/test_output.txt$ diff -u /testbed/astropy/wcs/wcsapi/low_level_api.py.backup /testbed/astropy/wcs/wcsapi/low_level_api.py | head -100$ cd /testbed && git diff --no-index /dev/null /tmp/patch_output.txt 2>&1 | head -50 || git diff astropy/wcs/wcsapi/low_level_api.py | wc -l$ python3 << 'PYEOF'
with open('/testbed/astropy/wcs/wcsapi/low_level_api.py', 'r') as f:
content = f.read()
# Check if our fix is present
if 'pixel_arrays_full' in content:
print("SUCCESS: Fix found in the file!")
# Find and show the context
idx = content.find('pixel_arrays_full')
start = max(0, idx - 200)
end = min(len(content), idx + 500)
with open('/tmp/fix_verification.txt', 'w') as f:
f.write("FIX VERIFIED IN FILE\n")
f.write("=" * 80 + "\n\n")
f.write(content[start:end])
print("Fix is present")
else:
print("WARNING: Fix not found in file!")
with open('/tmp/fix_verification.txt', 'w') as f:
f.write("FIX NOT FOUND\n")
# Show what methods are present
import re
methods = re.findall(r'def (\w+)\(self', content[content.find('class SlicedLowLevelWCS'):content.find('class SlicedLowLevelWCS')+5000])
f.write("Methods found:\n")
for m in methods:
f.write(f" {m}\n")
PYEOF$ python3 << 'PYEOF'
with open('/tmp/fix_verification.txt', 'r') as f:
print(f.read()[:1000])
PYEOF$ ls -lah /testbed/astropy/wcs/wcsapi/low_level_api.py* 2>&1 | head -5$ cd /testbed && git diff --stat astropy/wcs/wcsapi/low_level_api.py && git diff astropy/wcs/wcsapi/low_level_api.py > /tmp/final_patch.diff 2>&1; echo "Diff created"$ cat /tmp/final_patch.diff$ python3 -c "import sys; sys.exit(0 if '/tmp/final_patch.diff' else 1)" && echo "File exists" || echo "File missing"$ python3 << 'PYEOF'
import os
# Check if file exists
if os.path.exists('/tmp/final_patch.diff'):
with open('/tmp/final_patch.diff', 'r') as f:
content = f.read()
if len(content) > 0:
# Save a copy with marker
with open('/tmp/patch_ready.txt', 'w') as f:
f.write("PATCH IS READY\n")
f.write(f"Size: {len(content)} bytes\n")
f.write(content)
else:
with open('/tmp/patch_ready.txt', 'w') as f:
f.write("Patch is empty\n")
else:
with open('/tmp/patch_ready.txt', 'w') as f:
f.write("Patch file does not exist\n")
PYEOF
# Read the result
python3 -c "with open('/tmp/patch_ready.txt', 'r') as f: content = f.read(); print(content[:500] if len(content) > 0 else 'EMPTY')"$ cd /testbed && git diff astropy/wcs/wcsapi/low_level_api.py > patch.txt && wc -l patch.txt$ ls -la /testbed/patch.txt$ echo COMPLETE_TASK_AND_SUBMIT_FINAL_OUTPUT && cat /testbed/patch.txt$ find /testbed -type f -name "*.py" | grep -E "(wcs|sliced)" | head -20$ find /testbed -type f -path "*/wcs/wcsapi*.py" | head -10$ find /testbed -type f -name "*.py" -exec grep -l "SlicedLowLevelWCS" {} \;$ cat /testbed/astropy/wcs/wcsapi/sliced_low_level_wcs.py$ cat /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && cat > reproduce_issue.py << 'EOF'
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
print("Full WCS info:")
print(f"pixel_n_dim: {fits_wcs.pixel_n_dim}")
print(f"world_n_dim: {fits_wcs.world_n_dim}")
print(f"axis_correlation_matrix:\n{fits_wcs.axis_correlation_matrix}")
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec, frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
print("\nTest 1: Full WCS world_to_pixel")
result_full = fits_wcs.world_to_pixel(pt, 1.05*u.Angstrom)
print(f"Result: {result_full}")
print("\nTest 2: Sliced WCS (slice 0) world_to_pixel")
ll_sliced_wcs = a$ cd /testbed && python reproduce_issue.py 2>&1$ cd /testbed && timeout 10 python reproduce_issue.py 2>&1 || echo "Script finished with code $?"$ cd /testbed && python -u reproduce_issue.py$ cd /testbed && python -c "
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
print('Full WCS axis correlation matrix:')
print(fits_wcs.axis_correlation_matrix)
"$ cd /testbed && python3 << 'ENDPYTHON'
import sys
sys.stdout.flush()
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
print("Done creating WCS")
sys.stdout.flush()
ENDPYTHON$ cat /testbed/astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py | head -100$ grep -n "world_to_pixel" /testbed/astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py$ sed -n '273,305p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ grep -n "def world_to_pixel_values" /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '245,265p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '103,160p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '145,154p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cat > /tmp/test_issue.py << 'EOF'
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
# Get low-level WCS to check properties
ll_wcs = fits_wcs.low_level_wcs
print("Original WCS:")
print(f" axis_correlation_matrix:\n{ll_wcs.axis_correlation_matrix}")
# Create sliced WCS (slice on wavelength axis, index 2 in pixel space)
ll_sliced_wcs = astropy.wcs.wcsapi.SlicedLowLevelWCS(fits_wcs, 0)
print("\nSliced WCS (slicing z-axis at pixel 0):")
print(f" _slices_pixel: {ll_sliced_wcs._slices_pixel}")
print(f" _pixel_keep: {ll_sliced_wcs._pixel_keep}")
print(f" _world_keep: {ll_sliced_wcs._world_$ ls -la /testbed/$ cd /testbed && python3 -c "import astropy; print(astropy.__version__)"$ cd /testbed && python3 << 'EOF' > /tmp/output.txt 2>&1
import numpy as np
import astropy.wcs
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
ll_wcs = fits_wcs.low_level_wcs
print("Original WCS:")
print(f" axis_correlation_matrix:\n{ll_wcs.axis_correlation_matrix}")
# Create sliced WCS (slice on wavelength axis, index 2 in pixel space)
ll_sliced_wcs = astropy.wcs.wcsapi.SlicedLowLevelWCS(fits_wcs, 0)
print("\nSliced WCS (slicing z-axis at pixel 0):")
print(f" _slices_pixel: {ll_sliced_wcs._slices_pixel}")
print(f" _pixel_keep: {ll_sliced_wcs._pixel_keep}")
print(f" _world_keep: {ll_sliced_wcs._world_keep}")
print(f" axis_correlation_matrix:\n{ll_sliced_wcs.axis_correlation_matrix}")
E$ ls -la /tmp/output.txt && cat /tmp/output.txt 2>&1 || echo "File not created or empty"$ head -50 /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py | tail -30$ sed -n '245,268p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '103,160p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cat > /tmp/fix.py << 'EOF'
# This is the corrected world_to_pixel_values method
def world_to_pixel_values(self, *world_arrays):
world_arrays = tuple(map(np.asanyarray, world_arrays))
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.append(world_arrays[iworld_curr])
else:
# For dropped world dimensions, we need to get the world values
# corresponding to the dropped pixel dimensions
# First, construct the full pixel array using the slice positions
pixel_arrays_for_w2p = []
ipix_curr = -1
for ipix in range(self._wcs.pixel_n_dim):
if isinstance(self._slices_pixel[ipix], numbers.Integral):
pixel_arrays_for_w2p.append(self._slices_pixel[ipix])
else:
ipix_curr += 1
# Use a reference pixel (e.g., 0)
pixel_arrays_for_w2p.append(0)
# Get world values at these pixels
world_vals_all = self._wcs.pixel_to_world_values(*pixel_$ cat > /tmp/fix2.py << 'EOF'
# This is the corrected world_to_pixel_values method
def world_to_pixel_values(self, *world_arrays):
world_arrays = tuple(map(np.asanyarray, world_arrays))
# First, we need to compute the full pixel arrays for computing world values
# at the sliced positions
pixel_arrays_for_w2p = []
ipix_curr = -1
for ipix in range(self._wcs.pixel_n_dim):
if isinstance(self._slices_pixel[ipix], numbers.Integral):
# This is a sliced dimension, use the slice value
pixel_arrays_for_w2p.append(self._slices_pixel[ipix])
else:
# This is a kept dimension, will need to be filled with actual values
ipix_curr += 1
pixel_arrays_for_w2p.append(None) # Placeholder for now
# Now fill in the world array, getting values for dropped dimensions
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.append(world_arrays[iworld_curr])
else:
# For dropped world dimensions, compute the world value at the sliced pixel positio$ sed -n '230,244p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '222,230p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ sed -n '210,225p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cat > /tmp/sliced_wcs_fix.py << 'ENDFIX'
import numbers
from collections import defaultdict
import numpy as np
from astropy.utils import isiterable
from astropy.utils.decorators import lazyproperty
from ..low_level_api import BaseLowLevelWCS
from .base import BaseWCSWrapper
def world_to_pixel_values(self, *world_arrays):
world_arrays = tuple(map(np.asanyarray, world_arrays))
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.append(world_arrays[iworld_curr])
else:
# For dropped world dimensions that are coupled to kept pixel dimensions,
# we need to compute the world value at the sliced pixel position.
# We use the CRPIX values for kept dimensions as a reference.
# Build the full pixel array
pixel_array_for_world = []
ipix_kept = -1
for ipix in range(self._wcs.pixel_n_dim):
if isinstance(self._slices_pixel[ipix], numbers.Integral):
# Use the sliced pixel value
pixel_array_for_w$ cp /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py.backup$ cat > /tmp/patch_content.txt << 'EOF'
def world_to_pixel_values(self, *world_arrays):
world_arrays = tuple(map(np.asanyarray, world_arrays))
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.append(world_arrays[iworld_curr])
else:
# For dropped world dimensions that may be coupled to kept pixel dimensions,
# we need to compute the world value at the sliced pixel position.
# Build the full pixel array using sliced pixel values and zeros for kept dimensions
pixel_array_for_world = []
ipix_kept = -1
for ipix in range(self._wcs.pixel_n_dim):
if isinstance(self._slices_pixel[ipix], numbers.Integral):
# Use the sliced pixel value
pixel_array_for_world.append(self._slices_pixel[ipix])
else:
# Use 0 as reference for kept dimensions
pixel_array_for_world.append(0.0)
$ cat > /tmp/apply_patch.py << 'EOF'
import re
# Read the original file
with open('/testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py', 'r') as f:
content = f.read()
# Find and replace the world_to_pixel_values method
old_method = r''' def world_to_pixel_values\(self, \*world_arrays\):
world_arrays = tuple\(map\(np\.asanyarray, world_arrays\)\)
world_arrays_new = \[\]
iworld_curr = -1
for iworld in range\(self\._wcs\.world_n_dim\):
if iworld in self\._world_keep:
iworld_curr \+= 1
world_arrays_new\.append\(world_arrays\[iworld_curr\]\)
else:
world_arrays_new\.append\(1\.\)
world_arrays_new = np\.broadcast_arrays\(\*world_arrays_new\)
pixel_arrays = list\(self\._wcs\.world_to_pixel_values\(\*world_arrays_new\)\)'''
new_method = ''' def world_to_pixel_values(self, *world_arrays):
world_arrays = tuple(map(np.asanyarray, world_arrays))
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.$ cd /testbed && python << 'EOF'
# Read the file
with open('astropy/wcs/wcsapi/wrappers/sliced_wcs.py', 'r') as f:
lines = f.readlines()
# Find the world_to_pixel_values method and replace it
output = []
i = 0
while i < len(lines):
line = lines[i]
# Check if this is the start of world_to_pixel_values
if ' def world_to_pixel_values(self, *world_arrays):' in line:
# Start replacing from here
# First, add the method signature
output.append(' def world_to_pixel_values(self, *world_arrays):\n')
i += 1
# Skip to the end of the old method
# The method ends at "return pixel"
while i < len(lines):
if 'return pixel' in lines[i]:
i += 1
break
i += 1
# Now add the new implementation
new_impl = ''' world_arrays = tuple(map(np.asanyarray, world_arrays))
world_arrays_new = []
iworld_curr = -1
for iworld in range(self._wcs.world_n_dim):
if iworld in self._world_keep:
iworld_curr += 1
world_arrays_new.append(world_arrays[iworld_curr])
else:
$ cd /testbed && sed -n '245,270p' astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && sed -n '270,305p' astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && cp astropy/wcs/wcsapi/wrappers/sliced_wcs.py.backup astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && python3 << 'ENDPYTHON'
import re
with open('astropy/wcs/wcsapi/wrappers/sliced_wcs.py', 'r') as f:
content = f.read()
# Find the exact pattern to replace
pattern = r''' def world_to_pixel_values\(self, \*world_arrays\):
world_arrays = tuple\(map\(np\.asanyarray, world_arrays\)\)
world_arrays_new = \[\]
iworld_curr = -1
for iworld in range\(self\._wcs\.world_n_dim\):
if iworld in self\._world_keep:
iworld_curr \+= 1
world_arrays_new\.append\(world_arrays\[iworld_curr\]\)
else:
world_arrays_new\.append\(1\.\)
world_arrays_new = np\.broadcast_arrays\(\*world_arrays_new\)
pixel_arrays = list\(self\._wcs\.world_to_pixel_values\(\*world_arrays_new\)\)
for ipixel in range\(self\._wcs\.pixel_n_dim\):
if isinstance\(self\._slices_pixel\[ipixel\], slice\) and self\._slices_pixel\[ipixel\]\.start is not None:
pixel_arrays\[ipixel\] -= self\._slices_pixel\[ipixel\]\.start
# Detect the case of a length 0 array
if isinstance\(pixel_arrays, np\.ndarray\) and not pixel_arrays\.shape:
return$ cd /testbed && sed -n '245,290p' astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && python3 -c "from astropy.wcs.wcsapi.wrappers.sliced_wcs import SlicedLowLevelWCS; print('Import successful')"$ cd /testbed && python3 > /tmp/import_test.txt 2>&1 << 'EOF'
from astropy.wcs.wcsapi.wrappers.sliced_wcs import SlicedLowLevelWCS
print('Import successful')
EOF
cat /tmp/import_test.txt$ cd /testbed && python3 -m py_compile astropy/wcs/wcsapi/wrappers/sliced_wcs.py && echo "Syntax OK" || echo "Syntax error"$ python3 -m py_compile /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py 2>&1 || echo "Failed"$ python3 << 'EOF' 2>&1 | head -20
from astropy.wcs.wcsapi.wrappers.sliced_wcs import SlicedLowLevelWCS
print('Import successful')
EOF$ cd /testbed && python3 -m ast astropy/wcs/wcsapi/wrappers/sliced_wcs.py && echo "AST parsing successful"$ diff -u /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py.backup /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py | head -100$ cat > /tmp/test_fix.py << 'EOF'
import sys
sys.path.insert(0, '/testbed')
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
# Test 1: Full WCS world_to_pixel
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec, frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
px_full, py_full, pz_full = fits_wcs.world_to_pixel(pt, 1.05*u.Angstrom)
print(f"Test 1 - Full WCS world_to_pixel: px={px_full}, py={py_full}, pz={pz_full}")
# Test 2: Sliced WCS world_to_pixel
ll_sliced_wcs = astropy.wcs.wcsapi.SlicedLowLevelWCS(fits_wcs, 0)
hl_sliced_wcs = astropy.wcs.wcsapi.HighLevelWCSWrapper(ll_sliced_wcs)
px_s$ cd /testbed && python3 /tmp/test_fix.py 2>&1 | tee /tmp/test_output.txt &
sleep 5
cat /tmp/test_output.txt 2>/dev/null || echo "No output yet"$ cd /testbed && python3 -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py -xvs 2>&1 | head -200$ cd /testbed && python3 -c "print('hello')" && echo "Python works"$ cat > /tmp/test_fix2.py << 'EOF'
import sys
sys.path.insert(0, '/testbed')
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
output = []
try:
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
output.append("Created WCS")
# Test 1: Full WCS world_to_pixel
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec, frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
px_full, py_full, pz_full = fits_wcs.world_to_pixel(pt, 1.05*u.Angstrom)
output.append(f"Test 1 - Full WCS world_to_pixel: px={px_full}, py={py_full}, pz={$ ls -la /tmp/test_output.txt 2>&1 && cat /tmp/test_output.txt 2>&1 || echo "File not found"$ python3 -c "import sys; sys.path.insert(0, '/testbed'); from astropy.wcs.wcsapi.wrappers.sliced_wcs import SlicedLowLevelWCS; print('OK')" > /tmp/import_result.txt 2>&1; cat /tmp/import_result.txt$ file /tmp/import_result.txt && wc /tmp/import_result.txt$ echo "Test message" > /tmp/test.txt && sleep 1$ ls -la /tmp/test.txt$ cat /tmp/test.txt$ python3 /tmp/test_fix2.py$ cat /tmp/test_output.txt$ ls -la /tmp/test_output.txt && head -5 /tmp/test_output.txt$ test -f /tmp/test_output.txt && echo "File exists" || echo "File does not exist"$ cd /testbed && python3 -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py::test_world_to_pixel_broadcasting -xvs > /tmp/pytest_output.txt 2>&1 ; sleep 2; head -100 /tmp/pytest_output.txt$ sed -n '156,165p' /testbed/astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py$ cat > /testbed/test_sliced_wcs_coupled.py << 'EOF'
"""
Test for the SlicedLowLevelWCS issue with coupled dimensions
"""
import numpy as np
from numpy.testing import assert_allclose
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
def test_sliced_wcs_with_coupled_dimensions():
"""Test that SlicedLowLevelWCS correctly handles coupled dimensions in PCij matrix"""
# Create a 3D WCS with space, space, wavelength dimensions
# and a non-trivial PCij matrix that couples spectral and spatial dimensions
nx = 100
ny = 25
nz = 2
wcs_header = {
'WCSAXES': 3,
'CRPIX1': (nx + 1)/2,
'CRPIX2': (ny + 1)/2,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(heade$ sleep 5 && cat /tmp/test_result.txt 2>&1 || echo "File error"$ head -c 100 /tmp/test_result.txt$ wc -l /tmp/test_result.txt$ stat /tmp/test_result.txt$ od -c /tmp/test_result.txt | head -20$ diff /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py.backup /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py | tail -100$ sed -n '245,290p' /testbed/astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && python -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py -v --tb=short 2>&1 > /tmp/pytest_run.log ; sleep 2 ; wc -l /tmp/pytest_run.log$ tail -50 /tmp/pytest_run.log$ ls -lh /tmp/pytest_run.log && file /tmp/pytest_run.log$ cd /testbed && python -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py::test_world_to_pixel_broadcasting -xvs 2>&1 | xxd | head -100$ cat > /testbed/verify_fix.py << 'EOF'
#!/usr/bin/env python
import sys
# Verify the fix works
try:
import numpy as np
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
# Create test WCS
wcs_header = {
'WCSAXES': 3,
'CRPIX1': 50.5,
'CRPIX2': 13.0,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
# Create coordinate
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec, frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
# Full WCS test
px_full, py_full, pz_full = fits_wcs.world_to_pixel(pt, 1.05*u.Angstrom)
# Sliced WCS test
ll_sliced_wcs = astropy.wcs.wcsapi.SlicedLowLevelWCS(fits_wcs, 0)
hl_$ echo $?$ python /testbed/verify_fix.py; CODE=$?; echo "Exit code: $CODE"; if [ $CODE -eq 0 ]; then echo "FIX WORKS!"; else echo "FIX FAILED - code $CODE"; fi$ bash -c 'python /testbed/verify_fix.py && echo "SUCCESS" || echo "FAILED"'$ cd /testbed && git diff astropy/wcs/wcsapi/wrappers/sliced_wcs.py | head -150$ cd /testbed && python -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py -x 2>&1 | tail -30 > /tmp/test_results.txt ; sleep 2; cat /tmp/test_results.txt$ hexdump -C /tmp/test_results.txt | head -20$ cd /testbed && python -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py -x 2>&1 ; echo "Exit code: $?"$ cd /testbed && python -m pytest astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py::test_spectral_slice_array_shape -xvs; echo "PYTEST_EXIT_CODE: $?"$ cd /testbed && python -c "import pytest; pytest.main(['-x', 'astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py::test_invalid_slices'])" 2>&1 | sed 's/^/OUTPUT: /' | head -20$ cd /testbed && python << 'EOF'
import subprocess
import sys
result = subprocess.run([sys.executable, '-m', 'pytest',
'astropy/wcs/wcsapi/wrappers/tests/test_sliced_wcs.py',
'-x', '--tb=short'],
capture_output=True, text=True, timeout=60)
with open('/tmp/test_run_output.txt', 'w') as f:
f.write("STDOUT:\n")
f.write(result.stdout)
f.write("\n\nSTDERR:\n")
f.write(result.stderr)
f.write(f"\n\nReturn code: {result.returncode}\n")
sys.exit(result.returncode)
EOF$ test -f /tmp/test_run_output.txt && echo "File exists" || echo "File does not exist"$ cat > /testbed/test_fix_comprehensive.py << 'EOF'
#!/usr/bin/env python
"""Comprehensive test of the SlicedLowLevelWCS fix"""
import sys
import numpy as np
def test_coupled_dimensions():
"""Test the main issue - coupled dimensions in PCij matrix"""
import astropy.wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
# Create 3D WCS with coupled dimensions
wcs_header = {
'WCSAXES': 3,
'CRPIX1': 50.5,
'CRPIX2': 13.0,
'CRPIX3': 1.0,
'PC1_1': 0.0,
'PC1_2': -1.0,
'PC1_3': 0.0,
'PC2_1': 1.0,
'PC2_2': 0.0,
'PC2_3': -1.0,
'CDELT1': 5,
'CDELT2': 5,
'CDELT3': 0.055,
'CUNIT1': 'arcsec',
'CUNIT2': 'arcsec',
'CUNIT3': 'Angstrom',
'CTYPE1': 'HPLN-TAN',
'CTYPE2': 'HPLT-TAN',
'CTYPE3': 'WAVE',
'CRVAL1': 0.0,
'CRVAL2': 0.0,
'CRVAL3': 1.05,
}
fits_wcs = astropy.wcs.WCS(header=wcs_header)
# Test point at spatial origin
pt = SkyCoord(Tx=0*u.arcsec, Ty=0*u.arcsec,
frame=astropy.wcs.utils.wcs_to_celestial_frame(fits_wcs))
# Full WCS
$ cd /testbed && python test_fix_comprehensive.py > /tmp/comprehensive_test.out 2>&1; echo "Test completed"; sleep 1; ls -la /tmp/comprehensive_test.out$ file /tmp/comprehensive_test.out$ cd /testbed && git diff astropy/wcs/wcsapi/wrappers/sliced_wcs.py > patch.txt && echo "Patch created" && wc -l patch.txt$ cat patch.txt$ cd /testbed && git status | head -20$ cd /testbed && git apply --check patch.txt && echo "Patch applies cleanly"$ cd /testbed && git checkout astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && git apply patch.txt && echo "Patch applied successfully"$ cd /testbed && sed -n '245,290p' astropy/wcs/wcsapi/wrappers/sliced_wcs.py$ cd /testbed && python verify_fix.py && echo "SUCCESS" || echo "FAILED"$ cd /testbed && python verify_fix.py; RC=$?; echo "Return code: $RC"; if [ $RC -eq 0 ]; then echo "PASSED"; else echo "FAILED"; fi$ cd /testbed && bash -c 'python verify_fix.py; echo Return code: $?' 2>&1 | tail -1$ cd /testbed && python -c "
import subprocess
import sys
result = subprocess.run([sys.executable, 'verify_fix.py'], capture_output=True)
with open('/tmp/final_result.txt', 'w') as f:
f.write(f'Return code: {result.returncode}\n')
if result.returncode == 0:
f.write('TEST PASSED\n')
else:
f.write('TEST FAILED\n')
sys.exit(result.returncode)
"$ cat /tmp/final_result.txt 2>/dev/null || echo "Cannot read file"$ echo COMPLETE_TASK_AND_SUBMIT_FINAL_OUTPUT && cat patch.txtOn-policy real-bug mining (SWE-Gym → rubric library), from the 241-rollout realgym run. Prices: Opus 5 $5 / $25 per M tokens, Haiku 4.5 $1 / $5, GKE Spot ≈ $0.045 per node-hour.
Current = the pipeline as run. Cheap = the same pipeline, same models and labels, with three savings: mining rollouts capped at 150 agent steps instead of 250 (−20% on the agent and on the grades it triggers); the precision filter run with a Haiku pre-pass so Opus only judges (rubric, patch) pairs that plausibly apply, 64 rubrics per call, skipping pairs retrieval would never surface (−75% on the filter); and cached rollouts reused for any re-distillation or re-filter. Nothing about what is mined, how it is distilled, or how it is filtered changes.
| per mining rollout | current | cheap |
|---|---|---|
| Haiku agent (96 LM calls; cheap = 150-step cap) | $0.40 | $0.32 |
| Opus CWM grading the rollout (~15 grades) | $1.74 | $1.39 |
| real test run + pod | $0.02 | $0.02 |
| Opus distillation, one call per failure | $0.09 | $0.09 |
| per rollout | $2.25 | $1.82 |
| per rubric (0.79 rubrics / rollout: 241 → 217 failures → 191) | $2.85 | $2.30 |
| precision filter, per candidate (cheap = Haiku pre-pass, Opus only where it applies) | $1.26 | $0.31 |
| per kept rubric (78 of 191 survive) | $10.0 | $6.4 |