repo stringclasses 20
values | instance_id stringlengths 17 39 | base_commit stringlengths 40 40 | problem_statement stringlengths 780 3.43k | hints_text stringclasses 1
value | created_at stringdate 2023-08-22 12:42:29 2025-08-03 15:01:06 | version stringlengths 5 10 | org stringclasses 19
values | number int64 357 18.7k | test_files listlengths 1 9 | processed bool 1
class | FAIL_TO_PASS listlengths 1 29 | PASS_TO_PASS listlengths 0 4.01k | patch_files listlengths 1 12 | test_patch_files listlengths 1 9 | patch stringlengths 415 45k | test_patch stringlengths 502 38.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
instructlab/instructlab | instructlab__instructlab-3286 | b0cfe6b46346f1bebce6ed4c50ddef6a2d09414d | I want to be able to set default student and teacher model IDs in my configuration file, while still having the flexibility to override these defaults with command-line arguments when needed. This should work consistently across both data generation and training operations.
For data generation, I want the system to fi... | 2025-04-11T22:41:15Z | v0.26.0 | instructlab | 3,286 | [
"tests/common.py",
"tests/test_lab_generate.py",
"tests/testdata/default_config.yaml"
] | false | [
"tests/test_lab_generate.py::test_generate_with_global_teacher_model_id"
] | [
"tests/process/test_process.py::TestProcessRegistry::test_add_update_remove",
"tests/process/test_process.py::TestProcessRegistry::test_load_persist",
"tests/test_backends.py::test_free_port",
"tests/test_backends.py::test_get_argument",
"tests/test_backends.py::test_get_backend_auto_detection_fail_not_gguf... | [
{
"additions": 10,
"changes": 15,
"deletions": 5,
"filename": "src/instructlab/cli/data/generate.py",
"patch": "@@ -281,7 +281,14 @@ def generate(\n # determine student model arch from train section of config and pick system prompt to\n # pass to SDG appropriately\n system_prompt, le... | [
{
"additions": 9,
"changes": 10,
"deletions": 1,
"filename": "tests/common.py",
"patch": "@@ -14,11 +14,19 @@\n _CFG_FILE_NAME = \"test-serve-config.yaml\"\n \n \n-def setup_test_models_config(models_list, dest=\"\"):\n+def setup_test_models_config(\n+ models_list, dest=\"\", global_student_i... | diff --git a/src/instructlab/cli/data/generate.py b/src/instructlab/cli/data/generate.py
index 1111111..2222222 100644
--- a/src/instructlab/cli/data/generate.py
+++ b/src/instructlab/cli/data/generate.py
@@ -281,7 +281,14 @@ def generate(
# determine student model arch from train section of config and pick system... | diff --git a/tests/common.py b/tests/common.py
index 1111111..2222222 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -14,11 +14,19 @@
_CFG_FILE_NAME = "test-serve-config.yaml"
-def setup_test_models_config(models_list, dest=""):
+def setup_test_models_config(
+ models_list, dest="", global_student_id=Non... | |
jupyterlab/jupyter-ai | jupyterlab__jupyter-ai-986 | 43e6acce6f03c20d2fd889e229103e3b4dcb9003 | I want to be able to configure my Jupyter AI chat system to remember all previous conversations without any limits, rather than being restricted to only keeping a certain number of recent interactions. Currently, the system automatically limits how much conversation history is preserved, but I need the flexibility to d... | 2024-09-09T21:05:13Z | v2.23.0 | jupyterlab | 986 | [
"packages/jupyter-ai/jupyter_ai/tests/test_extension.py"
] | false | [
"packages/jupyter-ai/jupyter_ai/tests/test_extension.py::test_max_chat_history"
] | [
"packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_magics.py::test_aliases_config",
"packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_magics.py::test_default_model_cell",
"packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_magics.py::test_default_model_error_line",
"packages/jupyter-ai-magic... | [
{
"additions": 6,
"changes": 6,
"deletions": 0,
"filename": "packages/jupyter-ai/jupyter_ai/extension.py",
"patch": "@@ -188,7 +188,13 @@ class AiExtension(ExtensionApp):\n default_value=2,\n help=\"\"\"\n Number of chat interactions to keep in the conversational memory o... | [
{
"additions": 48,
"changes": 48,
"deletions": 0,
"filename": "packages/jupyter-ai/jupyter_ai/tests/test_extension.py",
"patch": "@@ -1,7 +1,12 @@\n # Copyright (c) Jupyter Development Team.\n # Distributed under the terms of the Modified BSD License.\n+from unittest import mock\n+\n import pyte... | diff --git a/packages/jupyter-ai/jupyter_ai/extension.py b/packages/jupyter-ai/jupyter_ai/extension.py
index 1111111..2222222 100644
--- a/packages/jupyter-ai/jupyter_ai/extension.py
+++ b/packages/jupyter-ai/jupyter_ai/extension.py
@@ -188,7 +188,13 @@ class AiExtension(ExtensionApp):
default_value=2,
... | diff --git a/packages/jupyter-ai/jupyter_ai/tests/test_extension.py b/packages/jupyter-ai/jupyter_ai/tests/test_extension.py
index 1111111..2222222 100644
--- a/packages/jupyter-ai/jupyter_ai/tests/test_extension.py
+++ b/packages/jupyter-ai/jupyter_ai/tests/test_extension.py
@@ -1,7 +1,12 @@
# Copyright (c) Jupyter D... | |
stanfordnlp/dspy | stanfordnlp__dspy-8247 | 015f795ea9fb48bcce23a0715efc238f99da5bad | I want to use DSPy with OpenAI's predicted outputs feature, which allows me to provide a suggested completion that the model can use as a starting point. Specifically, I need DSPy to recognize when I provide a predicted output in the standard OpenAI format and automatically pass it to the language model call as a confi... | 2025-05-20T03:27:11Z | 2.6.25 | stanfordnlp | 8,247 | [
"tests/predict/test_predict.py"
] | false | [
"tests/predict/test_predict.py::test_predicted_outputs_piped_from_predict_to_lm_call"
] | [
"tests/adapters/test_chat_adapter.py::test_chat_adapter_async_call",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_formats_image",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_formats_image_with_few_shot_examples",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_formats_image_with... | [
{
"additions": 11,
"changes": 11,
"deletions": 0,
"filename": "dspy/predict/predict.py",
"patch": "@@ -108,6 +108,17 @@ def _forward_preprocess(self, **kwargs):\n if (temperature is None or temperature <= 0.15) and num_generations > 1:\n config[\"temperature\"] = 0.7\n \n+ ... | [
{
"additions": 24,
"changes": 24,
"deletions": 0,
"filename": "tests/predict/test_predict.py",
"patch": "@@ -572,3 +572,27 @@ async def test_async_predict():\n dspy.settings.configure(lm=DummyLM([{\"answer\": \"Paris\"}]))\n result = await program.acall(question=\"What is the capital of ... | diff --git a/dspy/predict/predict.py b/dspy/predict/predict.py
index 1111111..2222222 100644
--- a/dspy/predict/predict.py
+++ b/dspy/predict/predict.py
@@ -108,6 +108,17 @@ def _forward_preprocess(self, **kwargs):
if (temperature is None or temperature <= 0.15) and num_generations > 1:
config["te... | diff --git a/tests/predict/test_predict.py b/tests/predict/test_predict.py
index 1111111..2222222 100644
--- a/tests/predict/test_predict.py
+++ b/tests/predict/test_predict.py
@@ -572,3 +572,27 @@ async def test_async_predict():
dspy.settings.configure(lm=DummyLM([{"answer": "Paris"}]))
result = await progra... | |
stanfordnlp/dspy | stanfordnlp__dspy-8139 | cefe8db85bca3a520bd82c7d9fdbde7efff44214 | I want to use the ReAct module with asynchronous tools while maintaining compatibility with my existing synchronous tools. When I'm working with async tools, I need to be able to call them using await syntax, but I also want the flexibility to call my regular synchronous tools within the same async workflow without get... | 2025-04-29T04:02:22Z | 2.6.22 | stanfordnlp | 8,139 | [
"tests/predict/test_react.py"
] | false | [
"tests/predict/test_react.py::test_async_error_retry",
"tests/predict/test_react.py::test_async_tool_calling_with_pydantic_args"
] | [
"tests/adapters/test_chat_adapter.py::test_chat_adapter_async_call",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_quotes_literals_as_expected",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_sync_call",
"tests/adapters/test_json_adapter.py::test_json_adapter_async_call",
"tests/adapters/... | [
{
"additions": 36,
"changes": 36,
"deletions": 0,
"filename": "dspy/predict/react.py",
"patch": "@@ -98,6 +98,31 @@ def forward(self, **input_args):\n extract = self._call_with_potential_trajectory_truncation(self.extract, trajectory, **input_args)\n return dspy.Prediction(trajec... | [
{
"additions": 128,
"changes": 247,
"deletions": 119,
"filename": "tests/predict/test_react.py",
"patch": "@@ -5,125 +5,7 @@\n import litellm\n \n from dspy.utils.dummies import DummyLM\n-\n-# def test_example_no_tools():\n-# # Create a simple dataset which the model will use with the Retrie... | diff --git a/dspy/predict/react.py b/dspy/predict/react.py
index 1111111..2222222 100644
--- a/dspy/predict/react.py
+++ b/dspy/predict/react.py
@@ -98,6 +98,31 @@ def forward(self, **input_args):
extract = self._call_with_potential_trajectory_truncation(self.extract, trajectory, **input_args)
return ... | diff --git a/tests/predict/test_react.py b/tests/predict/test_react.py
index 1111111..2222222 100644
--- a/tests/predict/test_react.py
+++ b/tests/predict/test_react.py
@@ -5,125 +5,7 @@
import litellm
from dspy.utils.dummies import DummyLM
-
-# def test_example_no_tools():
-# # Create a simple dataset which th... | |
stanfordnlp/dspy | stanfordnlp__dspy-8110 | 661ddc93f941cf7ad09a98fe04aba3f531014f77 | I want to ensure that all my asynchronous tests run properly in continuous integration environments, particularly on GitHub CI, by adding the necessary testing dependency and fixing related code issues. Currently, some async tests aren't being executed during CI runs, which means we're missing potential issues that sho... | 2025-04-25T05:40:17Z | 2.6.20 | stanfordnlp | 8,110 | [
"tests/clients/test_embedding.py",
"tests/clients/test_lm.py"
] | false | [
"tests/clients/test_embedding.py::test_async_embedding"
] | [
"tests/adapters/test_chat_adapter.py::test_chat_adapter_async_call",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_quotes_literals_as_expected",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_sync_call",
"tests/adapters/test_json_adapter.py::test_json_adapter_async_call",
"tests/adapters/... | [
{
"additions": 1,
"changes": 2,
"deletions": 1,
"filename": "dspy/clients/embedding.py",
"patch": "@@ -141,7 +141,7 @@ async def acall(self, inputs, batch_size=None, caching=None, **kwargs):\n acompute_embeddings = _cached_acompute_embeddings if caching else _acompute_embeddings\n \n ... | [
{
"additions": 1,
"changes": 2,
"deletions": 1,
"filename": "tests/clients/test_embedding.py",
"patch": "@@ -116,7 +116,7 @@ async def test_async_embedding():\n result = await embedding.acall(inputs)\n \n # Verify litellm was called with correct parameters.\n- mock_litellm... | diff --git a/dspy/clients/embedding.py b/dspy/clients/embedding.py
index 1111111..2222222 100644
--- a/dspy/clients/embedding.py
+++ b/dspy/clients/embedding.py
@@ -141,7 +141,7 @@ async def acall(self, inputs, batch_size=None, caching=None, **kwargs):
acompute_embeddings = _cached_acompute_embeddings if cachi... | diff --git a/tests/clients/test_embedding.py b/tests/clients/test_embedding.py
index 1111111..2222222 100644
--- a/tests/clients/test_embedding.py
+++ b/tests/clients/test_embedding.py
@@ -116,7 +116,7 @@ async def test_async_embedding():
result = await embedding.acall(inputs)
# Verify litellm was c... | |
stanfordnlp/dspy | stanfordnlp__dspy-8102 | c498de55156334f57c2ef7233d9267b24f789def | I want to be able to use callable functions that accept arbitrary keyword arguments with the dspy Tool functionality. Currently, when I try to use a function that has **kwargs parameters, the tool incorrectly rejects arguments that aren't explicitly defined in the function signature, even though these functions are des... | 2025-04-24T00:50:42Z | 2.6.19 | stanfordnlp | 8,102 | [
"tests/primitives/test_tool.py"
] | false | [
"tests/primitives/test_tool.py::test_tool_call_kwarg"
] | [
"tests/adapters/test_chat_adapter.py::test_chat_adapter_async_call",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_quotes_literals_as_expected",
"tests/adapters/test_chat_adapter.py::test_chat_adapter_sync_call",
"tests/adapters/test_json_adapter.py::test_json_adapter_async_call",
"tests/adapters/... | [
{
"additions": 5,
"changes": 5,
"deletions": 0,
"filename": "dspy/primitives/tool.py",
"patch": "@@ -57,6 +57,7 @@ def foo(x: int, y: str = \"hello\"):\n self.args = args\n self.arg_types = arg_types\n self.arg_desc = arg_desc\n+ self.has_kwargs = False\n \n ... | [
{
"additions": 9,
"changes": 9,
"deletions": 0,
"filename": "tests/primitives/test_tool.py",
"patch": "@@ -193,3 +193,12 @@ def dummy_function(x: list[list[DummyModel]]):\n \n result = tool(**args)\n assert result == [[DummyModel(field1=\"hello\", field2=123)]]\n+\n+\n+def test_tool_call... | diff --git a/dspy/primitives/tool.py b/dspy/primitives/tool.py
index 1111111..2222222 100644
--- a/dspy/primitives/tool.py
+++ b/dspy/primitives/tool.py
@@ -57,6 +57,7 @@ def foo(x: int, y: str = "hello"):
self.args = args
self.arg_types = arg_types
self.arg_desc = arg_desc
+ self.has_... | diff --git a/tests/primitives/test_tool.py b/tests/primitives/test_tool.py
index 1111111..2222222 100644
--- a/tests/primitives/test_tool.py
+++ b/tests/primitives/test_tool.py
@@ -193,3 +193,12 @@ def dummy_function(x: list[list[DummyModel]]):
result = tool(**args)
assert result == [[DummyModel(field1="hel... | |
stanfordnlp/dspy | stanfordnlp__dspy-8082 | d7ce7be85508416f4857ff833435f7160d4362e5 | "I want to be able to create dspy.Tool instances from functions that have default arguments, and hav(...TRUNCATED) | 2025-04-17T23:39:44Z | 2.6.18 | stanfordnlp | 8,082 | [
"tests/predict/test_react.py",
"tests/primitives/test_tool.py"
] | false | [
"tests/primitives/test_tool.py::test_tool_from_function"
] | ["tests/adapters/test_chat_adapter.py::test_chat_adapter_quotes_literals_as_expected","tests/adapter(...TRUNCATED) | [{"additions":1,"changes":2,"deletions":1,"filename":"dspy/predict/react.py","patch":"@@ -47,7 +47,7(...TRUNCATED) | [{"additions":0,"changes":26,"deletions":26,"filename":"tests/predict/test_react.py","patch":"@@ -12(...TRUNCATED) | "diff --git a/dspy/predict/react.py b/dspy/predict/react.py\nindex 1111111..2222222 100644\n--- a/ds(...TRUNCATED) | "diff --git a/tests/predict/test_react.py b/tests/predict/test_react.py\nindex 1111111..2222222 1006(...TRUNCATED) | |
stanfordnlp/dspy | stanfordnlp__dspy-7872 | b89c6059fd01f44b6f01ae7a4c1f9f50bfaede72 | "I want to be able to process and encode various types of files beyond just images when working with(...TRUNCATED) | 2025-03-03T15:25:25Z | 2.6.10 | stanfordnlp | 7,872 | [
"tests/signatures/test_adapter_image.py"
] | false | ["tests/signatures/test_adapter_image.py::test_different_mime_types","tests/signatures/test_adapter_(...TRUNCATED) | ["tests/adapters/test_chat_adapter.py::test_chat_adapter_quotes_literals_as_expected","tests/adapter(...TRUNCATED) | [{"additions":45,"changes":71,"deletions":26,"filename":"dspy/adapters/types/image.py","patch":"@@ -(...TRUNCATED) | [{"additions":110,"changes":110,"deletions":0,"filename":"tests/signatures/test_adapter_image.py","p(...TRUNCATED) | "diff --git a/dspy/adapters/types/image.py b/dspy/adapters/types/image.py\nindex 1111111..2222222 10(...TRUNCATED) | "diff --git a/tests/signatures/test_adapter_image.py b/tests/signatures/test_adapter_image.py\nindex(...TRUNCATED) | |
projectmesa/mesa | projectmesa__mesa-2502 | 54d7e28c4e81888af6845d10f3388fa8244289ff | "I want to be able to create and work with empty collections of cells without encountering errors, e(...TRUNCATED) | 2024-11-12T20:18:22Z | v3.0.3 | projectmesa | 2,502 | [
"tests/test_cell_space.py"
] | false | [
"tests/test_cell_space.py::test_empty_cell_collection"
] | ["tests/test_agent.py::test_agent_add_remove_discard","tests/test_agent.py::test_agent_membership","(...TRUNCATED) | [{"additions":4,"changes":6,"deletions":2,"filename":"mesa/experimental/cell_space/cell_collection.p(...TRUNCATED) | [{"additions":34,"changes":34,"deletions":0,"filename":"tests/test_cell_space.py","patch":"@@ -583,6(...TRUNCATED) | "diff --git a/mesa/experimental/cell_space/cell_collection.py b/mesa/experimental/cell_space/cell_co(...TRUNCATED) | "diff --git a/tests/test_cell_space.py b/tests/test_cell_space.py\nindex 1111111..2222222 100644\n--(...TRUNCATED) | |
projectmesa/mesa | projectmesa__mesa-2463 | ef383c4edef8b2e13f40bfd28e9d149386577ff3 | "I want to be able to use my custom model classes with optional configuration parameters in Solara v(...TRUNCATED) | 2024-11-06T14:16:08Z | v3.0.0 | projectmesa | 2,463 | [
"tests/test_solara_viz.py"
] | false | [
"tests/test_solara_viz.py::test_model_param_checks"
] | ["tests/test_agent.py::test_agent_add_remove_discard","tests/test_agent.py::test_agent_membership","(...TRUNCATED) | [{"additions":6,"changes":9,"deletions":3,"filename":"mesa/visualization/solara_viz.py","patch":"@@ (...TRUNCATED) | [{"additions":10,"changes":10,"deletions":0,"filename":"tests/test_solara_viz.py","patch":"@@ -176,6(...TRUNCATED) | "diff --git a/mesa/visualization/solara_viz.py b/mesa/visualization/solara_viz.py\nindex 1111111..22(...TRUNCATED) | "diff --git a/tests/test_solara_viz.py b/tests/test_solara_viz.py\nindex 1111111..2222222 100644\n--(...TRUNCATED) |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 43