### Shell Commands for Virtual Environment and Package Setup Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md Series of shell commands executed via tox to create Python 3.9 virtual environments, install seed packages like setuptools and wheel using pip, and add shell activators. These commands handle environment isolation without downloading packages and ignore VCS; inputs are environment names and options, outputs are configured environments ready for building. ```shell python -I -m pip install 'setuptools>=40.8.0' wheel ``` ```shell python -I -m pip install wheel ``` ```shell python -I -m pip install 'Jinja2<3.0' 'Pygments>=2.0' 'alabaster<0.7.12,>=0.7' 'babel>=1.3' 'colorama>=0.3.5; sys_platform == "win32"' cython 'docutils>=0.12' html5lib imagesize 'markupsafe<=2.0.1' packaging pytest pytest-cov 'requests>=2.5.0' setuptools 'snowballstemmer>=1.1' 'sphinxcontrib-applehelp<=1.0.7' 'sphinxcontrib-devhelp<=1.0.5' 'sphinxcontrib-htmlhelp<=2.0.4' sphinxcontrib-jsmath 'sphinxcontrib-qthelp<=1.0.6' 'sphinxcontrib-serializinghtml<=1.1.9' typed-ast ``` ```shell python -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-3.3.0.dev20240522-0.editable-py3-none-any.whl ``` ```shell pytest -rA --durations 25 tests/test_build_manpage.py ``` -------------------------------- ### Install Aider SWE Bench in Bash Source: https://github.com/aider-ai/aider-swe-bench/blob/main/README.md This shell script snippet provides installation commands for setting up the Aider SWE Bench harness environment. It requires git and pip for cloning repositories and installing Python packages, with no inputs and outputs, but the commands modify the local filesystem. Limitations include dependency on specific GitHub repos and potential version conflicts when upgrading Aider. ```bash # Clone this repo git clone https://github.com/paul-gauthier/aider-swe-bench # Clone the SWE Bench docker repo into a subdir of this repo cd aider-swe-bench git clone https://github.com/aorwall/SWE-bench-docker # Install pip requirements pip install -r requirements.txt # You may want to install the latest main branch of aider python -m pip install --upgrade git+https://github.com/paul-gauthier/aider.git ``` -------------------------------- ### Django Test Runner Setup Databases Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-13448.md Shows the initial setup of databases within the Django test runner, using the _setup_databases helper function and indicating the importance of correctly matching existing lines for patching. ```python return _setup_databases( self.verbosity, self.interactive, time_keeper=self.time_keeper, keepdb=self.keepdb, debug_sql=self.debug_sql, parallel=self.parallel, **kwargs ) ``` -------------------------------- ### Test Setup and Call Phase Logging in Pytest Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pytest-dev__pytest-5227.md Python test function showing logging behavior in pytest setup and call phases. Demonstrates that log messages are captured separately for setup and call phases, with both appearing in test output. ```python def test_setup_logging(): logger.info('text going to logger from setup') assert False def test_foo(): logger.info('text going to logger from call') assert False ``` -------------------------------- ### Install Sphinx package in development mode Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8595.md Force reinstalls the Sphinx package without dependencies in development mode. This ensures the local development version is used for testing rather than any installed version. The package is installed from a pre-built wheel file. ```bash python -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-3.5.0.dev20240522-0.editable-py3-none-any.whl ``` -------------------------------- ### Update Django Test Runner setup_databases for Migration Handling Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-13448.md This Python diff modifies the setup_databases method in django/test/runner.py to handle cases where TEST MIGRATE is False by using a default value in the get() method and adding an else clause that calls flush. It depends on Django's test framework and command system. Inputs are connection settings and verbosity; outputs are executed database commands. Limitations include reliance on Django internals and potential conflicts with custom test setups. ```python <<<<<<< SEARCH if self.connection.settings_dict['TEST']['MIGRATE']: # We report migrate messages at one level lower than that # requested. This ensures we don't get flooded with messages during # testing (unless you really ask to be flooded). call_command( 'migrate', verbosity=max(verbosity - 1, 0), interactive=False, database=self.connection.alias, run_syncdb=True, ) ======= if self.connection.settings_dict['TEST'].get('MIGRATE', True): # We report migrate messages at one level lower than that # requested. This ensures we don't get flooded with messages during # testing (unless you really ask to be flooded). call_command( 'migrate', verbosity=max(verbosity - 1, 0), interactive=False, database=self.connection.alias, run_syncdb=True, ) else: # Ensure the database is in a usable state when migrations are skipped. call_command( 'flush', verbosity=max(verbosity - 1, 0), interactive=False, database=self.connection.alias, ) >>>>>>> REPLACE ``` -------------------------------- ### Install wheel package Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md Installs the wheel package in isolated mode which is required for building editable packages. ```bash python -I -m pip install wheel ``` -------------------------------- ### Install Sphinx dependencies with pip Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8595.md Installs required Python packages for Sphinx development and testing. Includes specific version constraints for compatibility. Dependencies include Jinja2, Pygments, docutils, and various sphinxcontrib packages. This command sets up the environment for running Sphinx tests. ```bash python -I -m pip install 'Jinja2<3.0' 'Pygments>=2.0' 'alabaster<0.7.12,>=0.7' 'babel>=1.3' 'colorama>=0.3.5; sys_platform == "win32"' cython 'docutils>=0.12' html5lib imagesize 'markupsafe<=2.0.1' packaging pytest pytest-cov 'requests>=2.5.0' setuptools 'snowballstemmer>=1.1' 'sphinxcontrib-applehelp<=1.0.7' 'sphinxcontrib-devhelp<=1.0.5' 'sphinxcontrib-htmlhelp<=2.0.4' sphinxcontrib-jsmath 'sphinxcontrib-qthelp<=1.0.6' 'sphinxcontrib-serializinghtml<=1.1.9' 'typed-ast; python_version < "3.8"' ``` -------------------------------- ### Python Docstring Example (Reproducing Bug) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8713.md An example docstring that demonstrates the incorrect rendering of 'Other parameters' with current Napoleon version. ```python print(str(sphinx.ext.napoleon.NumpyDocstring(""")) Parameters ---------- x : int Other parameters ---------------- y: float """ ``` -------------------------------- ### Install Sphinx Wheel Package Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md Force reinstalls the Sphinx wheel package without dependencies using the temporary wheel file generated during the build process. Ensures clean installation of the editable package. ```bash python -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-3.3.0.dev20240522-0.editable-py3-none-any.whl ``` -------------------------------- ### Fix Setup Helpers Import - Python Lint Fix Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/astropy__astropy-7746.md Fixes F821 undefined name error by importing setup_helpers from astropy.utils before use. Resolves import dependency issue during setup mode detection. ```python from ..utils import setup_helpers try: from . import _wcs except ImportError: if not setup_helpers.is_distutils_display_option(): raise else: _wcs = None ``` -------------------------------- ### Logging with Setup Test in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pytest-dev__pytest-5227.md This pytest test includes logging during fixture setup and in the test function itself, showcasing how logs are captured and displayed upon test failure in Python. ```python def test_foo(): logger.info('text going to logger from call') assert False ``` -------------------------------- ### idiff Successful Example in Sympy Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-15678.md Provides a working example of using idiff with a valid equation (y*exp(y)- x*exp(x)). This demonstrates the expected input format and successful output when the function is used correctly. ```python >>> idiff(y*exp(y)- x*exp(x), y, x) (x + 1)*exp(x - y)/(y + 1) ``` -------------------------------- ### Install Python Packages with Pip Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-7738.md Installs a list of Python packages and their dependencies using pip. This command is used to set up the necessary environment for the project, ensuring all required libraries are present and compatible. ```bash python -I -m pip install 'Jinja2<3.0' 'Pygments>=2.0' 'alabaster<0.7.12,>=0.7' 'babel>=1.3' 'colorama>=0.3.5; sys_platform == "win32"' cython 'docutils>=0.12' html5lib imagesize 'markupsafe<=2.0.1' packaging pytest pytest-cov 'requests>=2.5.0' setuptools 'snowballstemmer>=1.1' 'sphinxcontrib-applehelp<=1.0.7' 'sphinxcontrib-devhelp<=1.0.5' 'sphinxcontrib-htmlhelp<=2.0.4' sphinxcontrib-jsmath 'sphinxcontrib-qthelp<=1.0.6' 'sphinxcontrib-serializinghtml<=1.1.9' typed-ast ``` -------------------------------- ### Install Sphinx Wheel with Pip Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-10451.md Installs a specific Sphinx development wheel file using pip, forcing a reinstallation without its dependencies. This is done within a Python 3.9 environment. ```bash python -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-5.1.0.dev20240522-0.editable-py3-none-any.whl ``` -------------------------------- ### Pytest Fixture for Logging Setup and Teardown Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pytest-dev__pytest-5227.md This snippet defines a pytest fixture named `fix` that logs messages during its setup and teardown phases. The fixture uses the `request` object to get the name of the test node it's associated with. It yields control to the test function and then executes teardown logging. This requires the `pytest` and `logging` modules. -------------------------------- ### Test Log Formatting with Pytest Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pytest-dev__pytest-5227.md This test sets up a pytest environment with custom logging during test phases (start, setup, call, teardown, finish). It verifies the log output format, particularly the newline spacing between messages. ```python def test_sections_single_new_line_after_test_outcome(testdir, request): """Check that only a single new line is written between log messages during teardown/finish.""" filename = request.node.name + ".py" testdir.makeconftest( """ import pytest import logging def pytest_runtest_logstart(): logging.warning('>>>>> START >>>>>') def pytest_runtest_logfinish(): logging.warning('<<<<< END <<<<<<<') logging.warning('<<<<< END <<<<<<<') """ ) testdir.makepyfile( """ import pytest import logging @pytest.fixture def fix(request): logging.warning("log ``` -------------------------------- ### Create Configured Aider Coder Instance in Python Source: https://context7.com/aider-ai/aider-swe-bench/llms.txt Initializes an Aider coder for SWE‑bench benchmarking with auto‑accept, automated test command, and token limits. Demonstrates setting model, repository path, chat logging, and running a problem. Prints outcomes and total API cost after execution. ```python from harness import get_coder from pathlib import Path # Prepare test command that returns None on pass, error output on fail def test_cmd(): # Run pre-existing tests in the repo return run_pre_existing_tests(entry, git_tempdir) # Create coder instance coder = get_coder( model="gpt-4o", # LLM model to use git_dname="/tmp/repo", # Repository directory chat_history_file=Path("chat.md"), # Save chat transcript test_cmd=test_cmd, # Test command to run after edits temperature=0.0, # Temperature for completions oracle_files=None # Optional: files to add to chat ) # Coder is configured with: # - yes=True: auto-accept all suggestions # - auto_test=True: run test_cmd after edits # - map_tokens=2048: use 2k tokens for repo map # - max_reflections=4: attempt up to 4 fix iterations # - max_chat_history_tokens=8192: keep 8k tokens of history # Run aider on a problem problem = "Fix the bug in the authentication system..." coder.run(problem) # Check outcomes print(f"Edit successful: {coder.edit_outcome}") print(f"Linting passed: {coder.lint_outcome}") print(f"Tests passed: {coder.test_outcome}") print(f"Total API cost: ${coder.total_cost:.2f}") ``` -------------------------------- ### GridSearchCV Parameter Grid Validation Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/scikit-learn__scikit-learn-14092.md Demonstrates parameter validation issue in GridSearchCV where tolerance and n_components parameters have type compatibility problems. The example shows parameter grid setup with np.arange for n_components and potential type mismatches with estimator parameters. ```python from sklearn.model_selection import GridSearchCV from sklearn.pipeline import Pipeline import numpy as np # Parameter grid definition params = { 'nca__tol': [1, 0.1, 0.01], 'nca__n_components': np.arange(1, 10) } # Pipeline and GridSearchCV setup gs = GridSearchCV(estimator=pipe, param_grid=params, error_score='raise') gs.fit(X, y) ``` -------------------------------- ### RST Automodule Configuration Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8435.md This RST file configures Sphinx to automatically document the example module, including all members and undocumented members. It relies on Sphinx's autodoc extension and does not have inputs or outputs, serving purely as documentation setup. Limitations apply if the module path is incorrect. ```rst .. automodule:: example :members: :undoc-members: ``` -------------------------------- ### Build editable Python package Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md Uses pyproject_api backend to build an editable package using setuptools build meta. ```bash python /home/swe-bench/miniconda3/envs/sphinx-doc__sphinx__3.3/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__ ``` -------------------------------- ### Pickle matplotlib figure with draggable legend (Python) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/matplotlib__matplotlib-25311.md Provides a minimal example that creates a Matplotlib figure and axis, defines sample data, and prepares the environment for pickling. The snippet is used to reproduce issues when pickling figures that contain draggable legends or annotations. It serves as a starting point for debugging the serialization problem. -------------------------------- ### Python Example Module with Type Annotations Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8435.md This Python module demonstrates the bug where type aliases are not applied to global variables or class attributes. It uses 'String' as a type hint that should be aliased to 'example.MyString'. The module requires Sphinx autodoc extension and consists of a simple class and variable setup without external inputs or outputs. ```python from __future__ import annotations #: blah blah blah var: String class MyString: "mystring" #: blah blah blah var: String ``` -------------------------------- ### Load SWE‑bench Dataset with Python Source: https://context7.com/aider-ai/aider-swe-bench/llms.txt Loads either the lite or full SWE‑bench dataset using utility functions. Returns a dictionary keyed by instance_id containing repository info, base commit, problem statement, and test patches. Requires the utils module and provides example access to a specific entry. ```python from utils import get_lite_dataset, get_full_dataset # Load the SWE Bench Lite dataset (300 instances) dataset = get_lite_dataset() # Returns: dict mapping instance_id -> entry with fields: # - instance_id: unique identifier (e.g., "django__django-11001") # - repo: GitHub repo (e.g., "django/django") # - base_commit: commit hash where issue was filed # - problem_statement: the GitHub issue text # - patch: the gold standard fix # - test_patch: acceptance tests to verify solution # - FAIL_TO_PASS: tests that should start failing and pass after fix # - PASS_TO_PASS: tests that should keep passing # Or load the full dataset (2,294 instances) full_dataset = get_full_dataset() # Access a specific problem entry = dataset["django__django-11001"] print(entry["problem_statement"]) print(entry["repo"]) print(entry["base_commit"]) ``` -------------------------------- ### GET request function Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/psf__requests-2674.md Sends a GET request to the specified URL with optional query parameters. This function constructs and sends a GET HTTP request. ```APIDOC ## GET Function ### Description Sends a GET request to the specified URL with optional query parameters. ### Method GET ### Parameters #### Path Parameters - **url** (string) - Required - URL for the new Request object #### Query Parameters - **params** (dictionary/bytes) - Optional - Dictionary or bytes to be sent in the query string #### Request Body - **kwargs** - Optional - Additional keyword arguments passed to request function ### Request Example { "url": "https://api.example.com/resource", "params": {"key": "value"}, "kwargs": {} } ### Response #### Success Response - **response** (requests.Response) - Response object containing status, headers, and content #### Response Example { "status_code": 200, "headers": {}, "content": "response data" } ``` -------------------------------- ### Process Single SWE-Bench Instance Source: https://context7.com/aider-ai/aider-swe-bench/llms.txt Processes a single SWE-Bench instance using specified models, temperature, and output directory. It attempts to find a plausible solution and saves the results as JSON and Markdown files. Dependencies include the 'process_one_instance' function and path manipulation. ```python from pathlib import Path # Assume dataset, process_one_instance are defined elsewhere # dataset = {...} # def process_one_instance(...): # pass entry = dataset["django__django-11001"] num_tries = 3 models = ["gpt-4o", "openrouter/anthropic/claude-3-opus"] temperature = 0.0 model_name_or_path = "aider--multi-model" out_dname = Path("predictions/my-run") out_dname.mkdir(exist_ok=True) process_one_instance( entry, num_tries, models, temperature, model_name_or_path, out_dname ) ``` -------------------------------- ### Python Intersection Function Examples Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-16988.md Demonstrates the Intersection function behavior with various input combinations. Shows how duplicates are handled and illustrates expected output formats. The first example shows duplicate removal, while the second shows how single elements should be handled. These examples appear to be test cases for validating Intersection function implementation. ```python >>> Intersection({1},{1},{x}) EmptySet() >>> Intersection({1},{x}) {1} ``` -------------------------------- ### Initialize Hooks Dictionary for Events in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/psf__requests-863.md Complete implementation showing hook initialization and registration process. Initializes hooks dictionary for all events, processes hooks parameter, and registers hooks individually or in lists. Provides flexible event handling with support for multiple callback registration per event. ```python for event in HOOKS: self.hooks[event] = [] hooks = hooks or {} for event, hook in list(hooks.items()): if isinstance(hook, list): for h in hook: self.register_hook(event=event, hook=h) else: self.register_hook(event=event, hook=hook) ``` -------------------------------- ### Proposed warm_start parameter documentation Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/scikit-learn__scikit-learn-13496.md Documentation example for the warm_start parameter to be added to IsolationForest. This follows the same pattern used in RandomForestClassifier and explains how to enable incremental learning by reusing previous fit results. ```python warm_start : bool, optional (default=False) When set to ``True``, reuse the solution of the previous call to fit and add more estimators to the ensemble, otherwise, just fit a whole new forest. See :term:`the Glossary `. ``` -------------------------------- ### Example Usage of Updated SymPy Intersection Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-16988.md These examples demonstrate the behavior of the updated SymPy `Intersection` function, particularly how it handles `FiniteSet` objects and preserves duplicates when called with multiple arguments. ```python >>> Intersection({1}, {1}, {x}) Intersection({1}, {1}, {x}) >>> Intersection({1}, {x}) Piecewise(({1}, Eq(x, 1)), (EmptySet(), True)) ``` -------------------------------- ### Checkout Repository at Base Commit using Python Source: https://context7.com/aider-ai/aider-swe-bench/llms.txt Clones a repository from a SWE‑bench entry (or any repo/commit) into a temporary directory, using a local bare cache for efficiency. Utilizes the harness checkout functions and the pathlib and tempfile modules. After execution the repository is ready for Aider to edit. ```python import tempfile from pathlib import Path from harness import checkout_repo, checkout_repo_url_commit # Checkout from a SWE-bench entry entry = dataset["django__django-11001"] with tempfile.TemporaryDirectory() as git_tempdir: checkout_repo(git_tempdir, entry) # Repository is now at base_commit in git_tempdir # Files are ready for Aider to edit # Or checkout any repo/commit directly with tempfile.TemporaryDirectory() as repo_dir: checkout_repo_url_commit( repo_dir, url="https://github.com/django/django", commit="8c5f9906c56f781" ) # Repository is cloned and checked out at specified commit ``` -------------------------------- ### Pytest Conftest Logging Setup Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pytest-dev__pytest-5227.md This Python code snippet defines logging hooks in pytest's conftest.py to emit custom warning messages at the start and finish of test runs. It uses pytest's hooks to integrate with the testing framework, requiring the pytest and logging modules. The code has no inputs beyond pytest's internal context and outputs WARNING logs to indicate test session boundaries. ```python import pytest import logging def pytest_runtest_logstart(): logging.warning('>>>>> START >>>>>') def pytest_runtest_logfinish(): logging.warning('<<<<< END <<<<<<<') logging.warning('<<<<< END <<<<<<<') ``` -------------------------------- ### Initialize Staticfiles Tests Module (Python) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-12915.md This Python script acts as an __init__.py file to make the staticfiles_tests directory a valid Python module. It includes a comment explaining its purpose. No dependencies or inputs/outputs beyond standard Python module initialization. ```python # This file ensures that the staticfiles_tests directory is recognized as a module. ``` -------------------------------- ### Object Initialization in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-16988.md This snippet demonstrates a basic object creation pattern in Python using `__new__`. It takes a class and arguments, creates a new instance, and returns it. This is a fundamental pattern for class instantiation. ```python obj = Basic.__new__(cls, *args) return obj ``` -------------------------------- ### Install Sphinx Package with Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8506.md Installs the Sphinx package in editable mode using pip with force reinstall option. This ensures the latest version of the package is installed without considering existing dependencies. ```bash python -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-3.4.0.dev20240522-0.editable-py3-none-any.whl ``` -------------------------------- ### Add os module import Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md Adds the required os module import to support directory creation operations in the ManualPageBuilder. ```Python import os from os import path, makedirs ``` -------------------------------- ### Test Script for Database Backend Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-13448.md Test script command to run Django backend tests specifically for unmigrated apps and database creation functionality. ```bash conda run -n django__django__3.2 ./tests/runtests.py --verbosity 2 backends.base.app_unmigrated.__init__ backends.base.app_unmigrated.migrations.0001_initial backends.base.app_unmigrated.migrations.__init__ backends.base.app_unmigrated.models backends.base.test_creation ``` -------------------------------- ### Display SymPy Sequence Formula in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-13971.md This Python code snippet imports the SymPy library, defines integer symbols k, m, and n, initializes pretty printing, and creates a SeqFormula for n squared from 0 to infinity. It's used to generate and display symbolic sequences. Dependencies include the SymPy library. Outputs the formatted sequence in the console or notebook. Limitations: Requires SymPy installation. ```python import sympy as sp k, m, n = sp.symbols('k m n', integer=True) sp.init_printing() sp.SeqFormula(n**2, (n,0,sp.oo)) ``` -------------------------------- ### Discover Python modules and packages in directories Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pylint-dev__pylint-7114.md Implements recursive file discovery for Python linting tools. Takes a sequence of file/directory paths and yields discovered Python modules and packages. Uses os.walk() for directory traversal with skip logic for already discovered packages. Handles ignore patterns, package detection via __init__.py, and module name to file path conversion. ```python def _discover_files(self, files_or_modules: Sequence[str]) -> Iterator[str]: """Discover python modules and packages in sub-directory. Returns iterator of paths to discovered modules and packages. """ for item in files_or_modules: if os.path.isdir(item): skip_subtrees: list[str] = [] for root, _, files in os.walk(item): if any(root.startswith(s) for s in skip_subtrees): # Skip subtree of already discovered package. continue if _is_ignored_file( root, self.config.ignore, self.config.ignore_patterns, self.config.ignore_paths, ): skip_subtrees.append(root) continue if "__init__.py" in files: skip_subtrees.append(root) yield root else: yield from ( os.path.join(root, file) for file in files if file.endswith(".py") ) elif os.path.isfile(item): yield item else: # Handle case where item might be a module name mod_path = item.replace(".", os.sep) + ".py" if os.path.isfile(mod_path): yield mod_path else: yield item ``` -------------------------------- ### GET /home (test subdomain) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pallets__flask-5063.md This endpoint retrieves content for the home page under the test subdomain. It is accessed using the GET method. ```APIDOC ## GET /home ### Description This endpoint retrieves content for the home page under the test subdomain. ### Method GET ### Endpoint /home ### Parameters #### Path Parameters #### Query Parameters #### Request Body ### Request Example ### Response #### Success Response (200) - **content** (string) - The content of the home page. #### Response Example { "content": "Welcome to the test home page!" } ``` -------------------------------- ### GET /home (admin subdomain) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pallets__flask-5063.md This endpoint retrieves content for the home page under the admin subdomain. It is accessed using the GET method. ```APIDOC ## GET /home ### Description This endpoint retrieves content for the home page under the admin subdomain. ### Method GET ### Endpoint /home ### Parameters #### Path Parameters #### Query Parameters #### Request Body ### Request Example ### Response #### Success Response (200) - **content** (string) - The content of the home page. #### Response Example { "content": "Welcome to the admin home page!" } ``` -------------------------------- ### Test Simple Routes Output Order Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pallets__flask-5063.md This test runs the basic 'routes' CLI command and verifies the output order of route names, including domain prefixes like 'test.local'. It uses 'expect_order' helper for line-by-line matching post-header. Depends on 'invoke' fixture; inputs are expected route list; outputs are exit code 0 and order match. Limitation: Skips first two lines (header) and uses prefix matching. ```Python def test_simple(self, invoke): result = invoke(["routes"]) assert result.exit_code == 0 self.expect_order(["test.local", "aaa_post", "static", "yyy_get_post"], result.output) ``` -------------------------------- ### GET /static/ Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pallets__flask-5063.md This endpoint serves static files. It is accessed using the GET method and takes a filename as a path parameter. ```APIDOC ## GET /static/ ### Description This endpoint serves static files. ### Method GET ### Endpoint /static/ ### Parameters #### Path Parameters - **filename** (string) - Required - The name of the static file to serve. #### Query Parameters #### Request Body ### Request Example ### Response #### Success Response (200) - **file** (binary) - The contents of the requested file. #### Response Example [File contents] ``` -------------------------------- ### Sphinx Build Log Details Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8273.md This snippet shows the captured stdout from a Sphinx build process. It details the environment configuration, build steps, and progress, including the builder type, source and output directories, and the reading of various source files. ```text # testroot: root # builder: man # srcdir: /tmp/pytest-of-swe-bench/pytest-0/directive-code # outdir: /tmp/pytest-of-swe-bench/pytest-0/directive-code/_build/man # status: Running Sphinx v3.3.0+/88b81a06e building [man]: all source files updating environment: [new config] 11 added, 0 changed, 0 removed reading sources... [ 9%] caption reading sources... [ 18%] classes reading sources... [ 27%] emphasize reading sources... [ 36%] force reading sources... [ 45%] highlight reading sources... [ 54%] index reading sources... [ 63%] linenos reading sources... [ 72%] linenothreshold reading sources... [ 81%] namedblocks reading sources... [ 90%] py-decorators reading sources... [100%] python looking for now-outdated files... none found pickling environment... done checking consistency... done ``` -------------------------------- ### Install project dependencies using pip (bash) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8435.md Installs required Python packages for the Sphinx documentation project using pip. Runs in a Bash environment and includes wheel installation and a force-reinstall of the editable Sphinx package. No external dependencies beyond a working Python interpreter. ```bash python -I -m pip install wheel\npython -I -m pip install 'Jinja2<3.0' 'Pygments>=2.0' 'alabaster<0.7.12,>=0.7' 'babel>=1.3' 'colorama>=0.3.5; sys_platform == "win32"' cython 'docutils>=0.12' html5lib imagesize 'markupsafe<=2.0.1' packaging pytest pytest-cov 'requests>=2.5.0' setuptools 'snowballstemmer>=1.1' 'sphinxcontrib-applehelp<=1.0.7' 'sphinxcontrib-devhelp<=1.0.5' 'sphinxcontrib-htmlhelp<=2.0.4' sphinxcontrib-jsmath 'sphinxcontrib-qthelp<=1.0.6' 'sphinxcontrib-serializinghtml<=1.1.9' typed-ast\npython -I -m pip install --force-reinstall --no-deps /home/swe-bench/sphinx-doc__sphinx/.tox/.tmp/package/1/Sphinx-3.4.0.dev20240522-0.editable-py3-none-any.whl ``` -------------------------------- ### Initialize Request Hooks Dictionary Comprehension Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/psf__requests-863.md Replaces manual hook initialization with a dictionary comprehension for cleaner code. Ensures each event key is properly initialized with an empty list in the Request.__init__ method. ```python self.hooks = {event: [] for event in HOOKS} ``` -------------------------------- ### Django Model Definition with TextChoices (Python) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-11964.md Defines a Django model class using TextChoices for a CharField, illustrating how choices are set up in a model. This code serves as an example to reproduce the issue where field values are enum instances rather than strings. It requires the Django framework and assumes basic model setup; inputs are choice values during model creation, outputs are model instances with fields holding enum objects. ```python from django.db import models from django.utils.translation import gettext_lazy as _ class MyChoice(models.TextChoices): FIRST_CHOICE = "first", _("The first choice, it is") SECOND_CHOICE = "second", _("The second choice, it is") class MyObject(models.Model): my_str_value = models.CharField(max_length=10, choices=MyChoice.choices) ``` -------------------------------- ### RST Examples for Sphinx Project Files Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-11445.md These reStructuredText snippets represent the index and module documentation files used to reproduce the bug. The index includes a toctree directive, while the module file starts with a domain directive heading that fails to render with rst_prolog. Dependencies: Sphinx builder. Inputs: File contents; outputs: Rendered RST in build process. Limitation: Domain directives like :mod: interfere when rst_prolog is set. ```rst Welcome ======= .. toctree:: mypackage ``` ```rst :mod:`mypackage2` ================= Content Subheading ---------- ``` -------------------------------- ### Add warm_start parameter to IsolationForest Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/scikit-learn__scikit-learn-13496.md Implements warm_start functionality for IsolationForest class by adding the parameter to __init__ method, updating docstring, and passing to parent class. Includes comprehensive test case to verify incremental training behavior. ```python <<<<<<< SEARCH random_state : int, RandomState instance or None, optional (default=None) ======= warm_start : bool, optional (default=False) When set to ``True``, reuse the solution of the previous call to fit and add more estimators to the ensemble, otherwise, just fit a whole new forest. See :term:`the Glossary `. random_state : int, RandomState instance or None, optional (default=None) >>>>>>> REPLACE ``` ```python <<<<<<< SEARCH random_state=None, ======= warm_start=False, random_state=None, >>>>>>> REPLACE ``` ```python <<<<<<< SEARCH random_state=random_state), ======= random_state=random_state), warm_start=warm_start, >>>>>>> REPLACE ``` ```python <<<<<<< SEARCH from sklearn.utils.testing import assert_array_equal ======= from sklearn.utils.testing import assert_array_equal, assert_in >>>>>>> REPLACE ``` ```python <<<<<<< SEARCH @pytest.mark.filterwarnings('ignore:default contamination') ======= @pytest.mark.filterwarnings('ignore:default contamination') @pytest.mark.filterwarnings('ignore:behaviour="old"') def test_iforest_warm_start(): """Test if warm_start=True reuses the solution of the previous call to fit.""" X = iris.data clf = IsolationForest(n_estimators=50, warm_start=True, random_state=0) clf.fit(X) first_trees = clf.estimators_ # Add more estimators clf.set_params(n_estimators=100) clf.fit(X) assert_equal(len(clf.estimators_), 100) assert_in(first_trees[0], clf.estimators_) >>>>>>> REPLACE ``` -------------------------------- ### Update test_simple with domain info - Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/pallets__flask-5063.md Modified test_simple method to include 'test.local' domain in the expected route output order. Verifies CLI routes command output format. ```Python def test_simple(self, invoke): result = invoke(["routes"]) assert result.exit_code == 0 self.expect_order(["test.local", "aaa_post", "static", "yyy_get_post"], result.output) ``` -------------------------------- ### Setup Test Database for SimpleLazyObject in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-15400.md This code snippet modifies the Django test case to resolve a missing table error by defining a test model, overriding installed apps, and initializing the database. It uses Django's TestCase, override_settings decorator, and setUpClass for proper test isolation. Inputs include test parameters; outputs include passing tests. Limitation: Specific to this test scenario and may need adjustments for other models. ```python from django.test import TestCase, override_settings class TestCategory(models.Model): name = models.CharField(max_length=100) class Meta: app_label = "utils_tests" @override_settings(INSTALLED_APPS=["utils_tests"]) class SimpleLazyObjectPickleTestCase(TestCase): @classmethod def setUpClass(cls): super().setUpClass() django.setup() def test_pickle_with_reduce(self): # Test in a fairly synthetic setting. lst = [ SimpleLazyObject(lambda: object()), SimpleLazyObject(lambda: object()), SimpleLazyObject(lambda: object()), ] self.assertEqual(len(lst), 3) s = pickle.dumps(lst) lst2 = pickle.loads(s) self.assertEqual(len(lst2), 3) self.assertIsInstance(lst2[0], SimpleLazyObject) self.assertIsInstance(lst2[1], SimpleLazyObject) self.assertIsInstance(lst2[2], SimpleLazyObject) def test_pickle_model(self): # Test on an actual model, based on the report in #25426. category = TestCategory.objects.create(name="thing1") ``` -------------------------------- ### Python Docstring Example (Expected Result) Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8713.md Shows the expected docstring rendering with proper formatting of 'Other parameters'. ```python :param x: :type x: int :Other Parameters: // Or some other kind of heading. :param: y :type y: float ``` -------------------------------- ### Run Evaluations and Generate Reports in Python Source: https://context7.com/aider-ai/aider-swe-bench/llms.txt Executes acceptance tests on predictions from a directory and generates reports, including loading JSON files, running Docker-based tests, and logging results. It requires the report module's functions and pathlib. Input is a predictions directory path; output is predictions JSONL and log directory with detailed report dictionary. Limitations include dependency on SWE-bench infrastructure and specific file structures. ```python from report import run_evals_on_dname, get_report from pathlib import Path # Run evaluations on a predictions directory dname = Path("predictions/my-experiment") # This will: # 1. Load all prediction JSON files # 2. Create predictions/my-experiment/all_preds.jsonl # 3. Run Docker-based acceptance tests via SWE-bench # 4. Generate logs/my-experiment/*.eval.log files # 5. Update JSON files with "resolved": true/false predictions_jsonl, log_dir = run_evals_on_dname(dname) # Get detailed report model_name = "aider--gpt-4o" report = get_report( "princeton-nlp--SWE-bench_Lite.json", predictions_jsonl, log_dir, model_name ) # Report contains: # { # "resolved": ["django__django-11001", ...], # Passed acceptance tests # "generated": ["django__django-11001", ...], # Generated patches # "applied": ["django__django-11001", ...], # Patches applied successfully # "no_generation": [...], # Failed to generate patch # "no_apply": [...], # Patch didn't apply # "with_logs": [...] # Has evaluation logs # } resolved_count = len(report["resolved"]) total_count = len(report["generated"]) + len(report["no_generation"]) success_rate = resolved_count / total_count * 100 print(f"Resolved {resolved_count}/{total_count} = {success_rate:.1f}%") ``` -------------------------------- ### Python: Example Module with Empty __all__ Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8595.md This Python code demonstrates a module (example.py) with functions and an empty __all__ attribute. The purpose is to test Sphinx's autodoc handling of such modules and verify that functions are not documented when __all__ is empty. ```python __all__ = [] def foo(): """docstring""" def bar(): """docstring""" def baz(): """docstring""" ``` -------------------------------- ### SymPy Differentiation Examples Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-21614.md Demonstrates basic differentiation and substitution within SymPy. Includes examples of derivatives with respect to variables and how substitution affects results. ```python >>> x.diff(f(x)) 0 ``` ```python >>> g(x).diff(f(x)) 0 ``` ```python >>> F = f(x) >>> Fx = F.diff(x) >>> Fx.diff(F) # derivative depends on x, not F 0 ``` ```python >>> Fxx = Fx.diff(x) >>> Fxx.diff(Fx) # derivative depends on x, not Fx 0 ``` ```python >>> Fxx.subs(Fx, y) Derivative(y, x) ``` ```python >>> _.doit() 0 ``` ```python >>> eq = f(x)*g(y) >>> eq.subs(f(x), x*y).diff(x, y).doit() y*Derivative(g(y), y) + g(y) ``` ```python >>> eq.diff(x, y).subs(f(x), x*y).doit() y*Derivative(g(y), y) ``` -------------------------------- ### Python Module Initialization - staticfiles_tests/__init__.py Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-12915.md This Python file is intentionally left blank. Its purpose is to serve as a marker, allowing Python to recognize the 'staticfiles_tests' directory as a package or module. This is essential for the test suite to correctly import and run tests located within this directory. ```python # This file is intentionally left blank to ensure the directory is recognized as a module. ``` -------------------------------- ### Django Router Example Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/django__django-15252.md This code shows a simple Django Router that allows migrations only on the 'default' database connection. ```python class Router(object): def allow_migrate(self, db, model): if db == 'default': return True return False ``` -------------------------------- ### GET /requests/api/get Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/psf__requests-2674.md Sends an HTTP GET request to the specified URL. Optional query parameters and additional request options can be provided via the params and kwargs arguments. ```APIDOC ## GET /requests/api/get ### Description Sends a GET request. ### Method GET ### Endpoint /requests/api/get ### Parameters #### Path Parameters - **url** (string) - Required - The URL for the new Request object. #### Query Parameters - **params** (object) - Optional - Dictionary or bytes to be sent in the query string for the Request. #### Request Body _None_ ### Request Example ```json { "url": "https://api.example.com/items", "params {"page": 1, "size": 20}, "kwargs": {"headers": {"Authorization": "Bearer token"}} } ``` ### Response #### Success Response (200) - **status_code** (integer) - HTTP status code returned by the server. - **content** (object) - The response payload. ### Response Example ```json { "status_code": 200, "content": { "items": [/* array of items */] } } ``` ``` -------------------------------- ### NumPy Matrix Multiplication Example Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sympy__sympy-13773.md Example showing how NumPy handles matrix multiplication with the @ operator, raising ValueError for scalar operands. This demonstrates the expected behavior that the Matrix class should emulate. ```python import numpy as np a = np.array([[1, 2], [3, 4]]) result = 2*a # This works # result = 2@a # This raises ValueError: Scalar operands are not allowed, use '*' instead ``` -------------------------------- ### Deprecated nodes.Text Initialization in Python Source: https://github.com/aider-ai/aider-swe-bench/blob/main/predictions/multi-models--gpt-4o--openrouter-anthropic-claude-3-opus/sphinx-doc__sphinx-8506.md These snippets demonstrate the deprecated way to initialize nodes.Text objects by passing an extra 'rawsource' argument, which is now ignored. The correct usage omits the second argument. Inputs are the text string and only the text. Outputs are Text node instances. Limitations include warnings and future removal in Docutils 2.0, requiring code updates. ```python retnodes.append(nodes.Text(txt, txt)) ``` ```python retnodes.append(nodes.Text(text[pos:], text[pos:])) ```