repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestXhshowClientUrlMethods:
def test_client_build_url_with_equals(self):
client = Xhshow()
url = client.build_url("/a... | "/api/path?token=abc%3Ddef" | assert | string_literal | tests/test_url_utils.py | test_client_build_url_with_equals | TestXhshowClientUrlMethods | 204 | null |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractApiPath:
def test_path_with_special_chars(self):
"""Path containing special characters"""
uri = "/api/user... | "/api/user/@username/posts" | assert | string_literal | tests/test_url_utils.py | test_path_with_special_chars | TestExtractApiPath | 66 | null |
Cloxl/xhshow | from unittest.mock import MagicMock, patch
import pytest
from xhshow.client import Xhshow
from xhshow.session import SessionManager, SignState
def mock_crypto_processor():
"""Fixture to mock the CryptoProcessor and its methods."""
with patch("xhshow.client.CryptoProcessor") as mock_proc_class:
mock_i... | session.page_load_timestamp | assert | complex_expr | tests/test_session.py | test_signing_with_session | 60 | null | |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractApiPath:
def test_post_with_json_body(self):
"""POST request with JSON body"""
uri = '/api/sns/web/v1/home... | "/api/sns/web/v1/homefeed" | assert | string_literal | tests/test_url_utils.py | test_post_with_json_body | TestExtractApiPath | 17 | null |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractApiPath:
def test_plain_uri_no_params(self):
"""Plain URI without params or body"""
uri = "/api/sns/web/v1... | "/api/sns/web/v1/login" | assert | string_literal | tests/test_url_utils.py | test_plain_uri_no_params | TestExtractApiPath | 30 | null |
Cloxl/xhshow | from unittest.mock import MagicMock, patch
import pytest
from xhshow.client import Xhshow
from xhshow.session import SessionManager, SignState
def mock_crypto_processor():
"""Fixture to mock the CryptoProcessor and its methods."""
with patch("xhshow.client.CryptoProcessor") as mock_proc_class:
mock_i... | len(uri3) | assert | func_call | tests/test_session.py | test_session_state_evolution | 179 | null | |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractApiPath:
def test_brace_at_start(self):
"""Edge case: { at the very start"""
uri = '{"invalid":"path"}'
... | "" | assert | string_literal | tests/test_url_utils.py | test_brace_at_start | TestExtractApiPath | 96 | null |
Cloxl/xhshow | from unittest.mock import MagicMock, patch
import pytest
from xhshow.client import Xhshow
from xhshow.session import SessionManager, SignState
def mock_crypto_processor():
"""Fixture to mock the CryptoProcessor and its methods."""
with patch("xhshow.client.CryptoProcessor") as mock_proc_class:
mock_i... | len(uri2) | assert | func_call | tests/test_session.py | test_session_state_evolution | 178 | null | |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractUri:
def test_extract_uri_with_fragment(self):
url = "https://example.com/path#section"
assert extract_ur... | "/path" | assert | string_literal | tests/test_url_utils.py | test_extract_uri_with_fragment | TestExtractUri | 120 | null |
Cloxl/xhshow | import pytest
from xhshow import CryptoProcessor, Xhshow
from xhshow.core.crc32_encrypt import CRC32
class TestCryptoProcessor:
def setup_method(self):
self.crypto = CryptoProcessor()
def test_hex_processor(self):
"""测试十六进制处理"""
hex_string = "d41d8cd98f00b204e9800998ecf8427e"
... | 8 | assert | numeric_literal | tests/test_crypto.py | test_hex_processor | TestCryptoProcessor | 106 | null |
Cloxl/xhshow | import pytest
from xhshow import CryptoProcessor, Xhshow
from xhshow.core.crc32_encrypt import CRC32
class TestIntegration:
def test_trace_id_generation(self):
"""测试 Trace ID 生成"""
import time
client = Xhshow()
# Test b3 trace id
b3_id = client.get_b3_trace_id()
... | 16 | assert | numeric_literal | tests/test_crypto.py | test_trace_id_generation | TestIntegration | 436 | null |
Cloxl/xhshow | import hashlib
import pytest
from xhshow import Xhshow
from xhshow.session import SessionManager
from xhshow.utils.url_utils import build_url, extract_api_path, extract_uri
class TestExtractApiPath:
def test_path_ending_with_slash(self):
"""Path ending with /"""
uri = "/api/users/?page=1"
... | "/api/users/" | assert | string_literal | tests/test_url_utils.py | test_path_ending_with_slash | TestExtractApiPath | 90 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_success_rate_all_failed(self):
"""Test success rate when all items failed."""
result = PipelineResult(processed=0, failed=10)
assert result.success_rate == | 0.0 | assert | numeric_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_success_rate_all_failed | TestPipelineResult | 24 | null |
vstorm-co/full-stack-ai-agent-template | from unittest.mock import patch
import pytest
from pydantic import ValidationError
from fastapi_gen.config import (
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
LLMProviderType,
LogfireFeatures,
OrmType,
ProjectConfig,
RateLimitStorageType,
ReversePr... | 50 | assert | numeric_literal | tests/test_config.py | test_custom_rate_limit_values | TestRateLimitConfig | 788 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from click.testing import CliRunner
from fastapi_gen.cli import cli, create, main, new, templates
from fastapi_gen.config import (
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
OAuthProvider,
... | 0 | assert | numeric_literal | tests/test_cli.py | test_cli_help | TestCli | 33 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestBasePipeline:
@pytest.mark.anyio
async def test_custom_pipeline_implementation(self):
"""Test a custom pipeline implementation."""
class MyPipeline(BasePipeline):
def __init__(self, items: list):
... | 4 | assert | numeric_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_custom_pipeline_implementation | TestBasePipeline | 115 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 60 | assert | numeric_literal | tests/test_prompts.py | test_returns_redis_storage_when_redis_enabled | TestPromptRateLimitConfig | 606 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | 2 | assert | numeric_literal | tests/test_generator.py | test_mongodb_commands | TestGetDatabaseSetupCommands | 87 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_default_values(self):
"""Test default values are set correctly."""
result = PipelineResult(processed=5)
assert result.failed == 0
assert result.errors == []
assert... | {} | assert | collection | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_default_values | TestPipelineResult | 51 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 30 | assert | numeric_literal | tests/test_prompts.py | test_returns_config_values | TestPromptRateLimitConfig | 588 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | str(temp_output_dir) | assert | func_call | tests/test_generator.py | test_generates_project_in_output_dir | TestGenerateProject | 147 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 5 | assert | numeric_literal | tests/test_prompts.py | test_celery_option_shown_only_for_celery | TestPromptLogfire | 423 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestBasePipeline:
@pytest.mark.anyio
async def test_custom_pipeline_implementation(self):
"""Test a custom pipeline implementation."""
class MyPipeline(BasePipeline):
def __init__(self, items: list):
... | 1 | assert | numeric_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_custom_pipeline_implementation | TestBasePipeline | 116 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from click.testing import CliRunner
from fastapi_gen.cli import cli, create, main, new, templates
from fastapi_gen.config import (
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
OAuthProvider,
... | 1 | assert | numeric_literal | tests/test_cli.py | test_new_no_input_requires_name | TestNewCommand | 73 | null |
vstorm-co/full-stack-ai-agent-template | from unittest.mock import patch
import pytest
from pydantic import ValidationError
from fastapi_gen.config import (
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
LLMProviderType,
LogfireFeatures,
OrmType,
ProjectConfig,
RateLimitStorageType,
ReversePr... | None | assert | none_literal | tests/test_config.py | test_returns_version_when_package_exists | TestGetGeneratorVersion | 33 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 2 | assert | numeric_literal | tests/test_prompts.py | test_redis_option_shown_when_redis_enabled | TestPromptRateLimitConfig | 645 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 123 | assert | numeric_literal | tests/test_prompts.py | test_returns_value_when_not_none | TestCheckCancelled | 61 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | "test_project" | assert | string_literal | tests/test_generator.py | test_passes_config_context_to_cookiecutter | TestGenerateProject | 164 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 100 | assert | numeric_literal | tests/test_prompts.py | test_returns_redis_storage_when_redis_enabled | TestPromptRateLimitConfig | 605 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_default_values(self):
"""Test default values are set correctly."""
result = PipelineResult(processed=5)
assert result.failed == | 0 | assert | numeric_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_default_values | TestPipelineResult | 49 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | TEMPLATE_DIR | assert | variable | tests/test_generator.py | test_returns_template_directory | TestGetTemplatePath | 103 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | commands[2][0] | assert | complex_expr | tests/test_generator.py | test_postgresql_commands | TestGetDatabaseSetupCommands | 69 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | target_dir) | assert_* | variable | tests/test_generator.py | test_cleans_up_on_failure | TestGenerateProject | 199 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 3 | assert | numeric_literal | tests/test_prompts.py | test_openrouter_option_added_for_pydanticai | TestPromptLLMProvider | 1,169 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | 1 | assert | numeric_literal | tests/test_prompts.py | test_redis_option_not_shown_when_redis_disabled | TestPromptRateLimitConfig | 626 | null |
vstorm-co/full-stack-ai-agent-template | from unittest.mock import patch
import pytest
from pydantic import ValidationError
from fastapi_gen.config import (
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
LLMProviderType,
LogfireFeatures,
OrmType,
ProjectConfig,
RateLimitStorageType,
ReversePr... | True | assert | bool_literal | tests/test_config.py | test_default_values | TestLogfireFeatures | 90 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestBasePipeline:
@pytest.mark.anyio
async def test_run_must_be_implemented(self):
"""Test that run method must be implemented by subclasses."""
# This test verifies the abstract method requirement
with p... | TypeError, match="Can't instantiate abstract class") | pytest.raises | complex_expr | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_run_must_be_implemented | TestBasePipeline | 83 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_success_rate_with_failures(self):
"""Test success rate with some failures."""
result = PipelineResult(processed=8, failed=2)
assert result.success_rate == | 80.0 | assert | numeric_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_success_rate_with_failures | TestPipelineResult | 19 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_has_errors_no_errors(self):
"""Test has_errors returns False when no errors."""
result = PipelineResult(processed=5, failed=0)
assert result.has_errors is | False | assert | bool_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_has_errors_no_errors | TestPipelineResult | 44 | null |
vstorm-co/full-stack-ai-agent-template | import subprocess
from pathlib import Path
import pytest
from fastapi_gen.config import (
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LogfireFeatures,
OAuthProvider,
ProjectConfig,
)
from fastapi_gen.generator import generate_project
def generated_project_minimal... | 0 | assert | numeric_literal | tests/test_template_integration.py | test_minimal_project_passes_ruff | TestGeneratedTemplateRuff | 99 | null |
vstorm-co/full-stack-ai-agent-template | import pytest
from app.pipelines.base import BasePipeline, PipelineResult
class TestPipelineResult:
def test_has_errors_with_failures(self):
"""Test has_errors returns True when failures exist."""
result = PipelineResult(processed=5, failed=1)
assert result.has_errors is | True | assert | bool_literal | template/{{cookiecutter.project_slug}}/backend/tests/test_pipelines.py | test_has_errors_with_failures | TestPipelineResult | 34 | null |
vstorm-co/full-stack-ai-agent-template | from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import (
AdminEnvironmentType,
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
FrontendType,
LLMProviderType,
LogfireFeatures,
OAuthProvider,
OrmType... | True | assert | bool_literal | tests/test_prompts.py | test_valid_lowercase_name | TestValidateProjectName | 75 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | commands[1][0] | assert | complex_expr | tests/test_generator.py | test_postgresql_commands | TestGetDatabaseSetupCommands | 68 | null |
vstorm-co/full-stack-ai-agent-template | from unittest.mock import patch
import pytest
from pydantic import ValidationError
from fastapi_gen.config import (
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
LLMProviderType,
LogfireFeatures,
OrmType,
ProjectConfig,
RateLimitStorageType,
ReversePr... | 100 | assert | numeric_literal | tests/test_config.py | test_default_rate_limit_values | TestRateLimitConfig | 775 | null |
vstorm-co/full-stack-ai-agent-template | import json
import re
from pathlib import Path
import pytest
TEMPLATE_DIR = Path(__file__).parent.parent / "template"
class TestVariablesDocumentation:
def cookiecutter_variables(self) -> set[str]:
"""Load all variable names from cookiecutter.json.
Excludes variables starting with '_' as these ... | content | assert | variable | tests/test_template_docs.py | test_documentation_has_required_sections | TestVariablesDocumentation | 80 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
import pytest
from fastapi_gen.config import (
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
ProjectConfig,
)
from fastapi_gen.generator import generate_project
class TestProjectContents:
def project_with_all_options(self, tmp_path: Path) -> Path:
"""Ge... | content | assert | variable | tests/test_integration.py | test_config_contains_project_name | TestProjectContents | 235 | null |
vstorm-co/full-stack-ai-agent-template | from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from fastapi_gen.config import DatabaseType, FrontendType, LogfireFeatures, ProjectConfig
from fastapi_gen.generator import (
TEMPLATE_DIR,
_find_template_dir,
_get_database_setup_commands,
generate_project,
get_temp... | installed_template | assert | variable | tests/test_generator.py | test_finds_installed_template_when_dev_not_exists | TestFindTemplateDir | 43 | null |
vstorm-co/full-stack-ai-agent-template | from unittest.mock import patch
import pytest
from pydantic import ValidationError
from fastapi_gen.config import (
AIFrameworkType,
AuthType,
BackgroundTaskType,
CIType,
DatabaseType,
LLMProviderType,
LogfireFeatures,
OrmType,
ProjectConfig,
RateLimitStorageType,
ReversePr... | 30 | assert | numeric_literal | tests/test_config.py | test_custom_rate_limit_values | TestRateLimitConfig | 789 | null |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | len(a) | assert | func_call | tests/test_trainable.py | test_train_test_split | 154 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_load_pretrained_quantized(
tmp_path: Path, mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, s... | np.int8 | assert | complex_expr | tests/test_model.py | test_load_pretrained_quantized | 201 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | static_model.config["tokenizer_name"] | assert | complex_expr | tests/test_distillation.py | test_distill | 210 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_load_pretrained_quantized(
tmp_path: Path, mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, s... | "float16" | assert | string_literal | tests/test_model.py | test_load_pretrained_quantized | 211 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_initialization(mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, str]) -> None:
"""Test succes... | (5, 2) | assert | collection | tests/test_model.py | test_initialization | 15 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | expected_shape | assert | variable | tests/test_distillation.py | test__post_process_embeddings | 251 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | ["0", "1"] | assert | collection | tests/test_trainable.py | test_init_predict | 22 | null | |
MinishLab/model2vec | import numpy as np
import pytest
from model2vec.quantization import DType, quantize_and_reduce_dim, quantize_embeddings
from model2vec.vocabulary_quantization import quantize_vocabulary
def test_quantize_vocabulary() -> None:
"""Test quantization of vocabulary."""
rand = np.random.RandomState(42)
embeddin... | np.float32 | assert | complex_expr | tests/test_quantization.py | test_quantize_vocabulary | 60 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | set() | assert | func_call | tests/test_utils.py | test__get_metadata_from_readme_mocked_file_keys | 32 | null | |
MinishLab/model2vec | import numpy as np
import pytest
from model2vec.quantization import DType, quantize_and_reduce_dim, quantize_embeddings
from model2vec.vocabulary_quantization import quantize_vocabulary
def test_quantize_vocabulary() -> None:
"""Test quantization of vocabulary."""
rand = np.random.RandomState(42)
embeddin... | (8, 4) | assert | collection | tests/test_quantization.py | test_quantize_vocabulary | 61 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | [[0, 1], [0, 1]] | assert | collection | tests/test_trainable.py | test_predict | 120 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | "value" | assert | string_literal | tests/test_utils.py | test__get_metadata_from_readme_mocked_file | 24 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | json.loads(static_model2.tokenizer.to_str()) | assert | func_call | tests/test_distillation.py | test_distill_from_model | 79 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | ValueError) | pytest.raises | variable | tests/test_trainable.py | test_textdataset_init_incorrect | 109 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | s.classes_ | assert | complex_expr | tests/test_trainable.py | test_init_predict | 21 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | 0 | assert | numeric_literal | tests/test_trainable.py | test_tokenize | 81 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | static_model.tokens | assert | complex_expr | tests/test_distillation.py | test_distill_removal_pattern | 146 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | 2 | assert | numeric_literal | tests/test_trainable.py | test_init_predict | 28 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | ValueError, match="pooler_output") | pytest.raises | complex_expr | tests/test_distillation.py | test_pooler_raises_without_pooler_output | 330 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_load_pretrained_quantized(
tmp_path: Path, mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, s... | "int8" | assert | string_literal | tests/test_model.py | test_load_pretrained_quantized | 203 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | ["b", "b"] | assert | collection | tests/test_trainable.py | test_predict | 123 | null | |
MinishLab/model2vec | import numpy as np
import pytest
from model2vec.quantization import DType, quantize_and_reduce_dim, quantize_embeddings
from model2vec.vocabulary_quantization import quantize_vocabulary
def test_quantize_and_reduce_dim() -> None:
"""Test quantization and dimensionality reduction."""
embeddings = np.array([[1.... | np.int8 | assert | complex_expr | tests/test_quantization.py | test_quantize_and_reduce_dim | 48 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_encode_as_sequence(mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, str]) -> None:
"""Test en... | 2 | assert | numeric_literal | tests/test_model.py | test_encode_as_sequence | 85 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | static_model2.config | assert | complex_expr | tests/test_distillation.py | test_distill_from_model | 78 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_load_pretrained_vocabulary_quantized(
tmp_path: Path, mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: ... | (5,) | assert | collection | tests/test_model.py | test_load_pretrained_vocabulary_quantized | 277 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | None | assert | none_literal | tests/test_distillation.py | test_missing_modelinfo | 225 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_normalize(mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, str]) -> None:
"""Test normalizati... | expected) | assert_* | variable | tests/test_model.py | test_normalize | 146 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | (2, 2) | assert | collection | tests/test_trainable.py | test_predict_proba | 131 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | [1, 1] | assert | collection | tests/test_trainable.py | test_predict | 125 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | ImportError) | pytest.raises | variable | tests/test_utils.py | test_importable | 70 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | {"skeletoken", "torch", "transformers", "scikit-learn"} | assert | collection | tests/test_utils.py | test_get_package_extras | 79 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | ValueError) | pytest.raises | variable | tests/test_distillation.py | test_distill_removal_pattern | 149 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | expected | assert | variable | tests/test_utils.py | test_select_optimal_device | 65 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | b | assert | variable | tests/test_trainable.py | test_convert_to_pipeline | 143 | null | |
MinishLab/model2vec | import numpy as np
import pytest
from model2vec.quantization import DType, quantize_and_reduce_dim, quantize_embeddings
from model2vec.vocabulary_quantization import quantize_vocabulary
def test_quantize_and_reduce_dim() -> None:
"""Test quantization and dimensionality reduction."""
embeddings = np.array([[1.... | np.float16 | assert | complex_expr | tests/test_quantization.py | test_quantize_and_reduce_dim | 40 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | static_model2.embedding.shape | assert | complex_expr | tests/test_distillation.py | test_distill_from_model | 77 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_load_pretrained_vocabulary_quantized(
tmp_path: Path, mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: ... | 3 | assert | numeric_literal | tests/test_model.py | test_load_pretrained_vocabulary_quantized | 279 | null | |
MinishLab/model2vec | import os
import re
from tempfile import TemporaryDirectory
from unittest.mock import patch
import pytest
from model2vec.inference import StaticModelPipeline
def test_init_predict_proba(mock_inference_pipeline: StaticModelPipeline) -> None:
"""Test successful init and predict_proba with StaticModelPipeline."""
... | 1 | assert | numeric_literal | tests/test_inference.py | test_init_predict_proba | 30 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | {} | assert | collection | tests/test_utils.py | test__get_metadata_from_readme_not_exists | 16 | null | |
MinishLab/model2vec | from __future__ import annotations
import json
from importlib import import_module
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
from pytest import LogCaptureFixture
from skeletoken import TokenizerModel
from transformers import BertTokenizerFast
from transformers.modeling_utils import P... | set(expected_output) | assert | func_call | tests/test_distillation.py | test_clean_and_create_vocabulary | 291 | null | |
MinishLab/model2vec | import os
import re
from tempfile import TemporaryDirectory
from unittest.mock import patch
import pytest
from model2vec.inference import StaticModelPipeline
def test_init_predict(mock_inference_pipeline: StaticModelPipeline) -> None:
"""Test successful init and predict with StaticModelPipeline."""
target: l... | target | assert | variable | tests/test_inference.py | test_init_predict | 24 | null | |
MinishLab/model2vec | from pathlib import Path
from tempfile import TemporaryDirectory
import numpy as np
import pytest
import safetensors
from tokenizers import Tokenizer
from model2vec import StaticModel
def test_initialization(mock_vectors: np.ndarray, mock_tokenizer: Tokenizer, mock_config: dict[str, str]) -> None:
"""Test succes... | 5 | assert | numeric_literal | tests/test_model.py | test_initialization | 16 | null | |
MinishLab/model2vec | import os
import re
from tempfile import TemporaryDirectory
from unittest.mock import patch
import pytest
from model2vec.inference import StaticModelPipeline
def test_roundtrip_save_file_gone(mock_inference_pipeline: StaticModelPipeline) -> None:
"""Test saving and loading the pipeline."""
with TemporaryDire... | FileNotFoundError) | pytest.raises | variable | tests/test_inference.py | test_roundtrip_save_file_gone | 87 | null | |
MinishLab/model2vec | from tempfile import TemporaryDirectory
import numpy as np
import pytest
import torch
from tokenizers import Tokenizer
from transformers import AutoTokenizer
from model2vec.model import StaticModel
from model2vec.train import StaticModelForClassification
from model2vec.train.base import FinetunableStaticModel, TextDa... | len(b) | assert | func_call | tests/test_trainable.py | test_train_test_split | 155 | null | |
MinishLab/model2vec | from __future__ import annotations
from pathlib import Path
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
from model2vec.distill.utils import select_optimal_device
from model2vec.hf_utils import _get_metadata_from_readme
from model2vec.utils import get_package_extras, importab... | RuntimeError) | pytest.raises | variable | tests/test_utils.py | test_select_optimal_device | 62 | null | |
MinishLab/model2vec | import numpy as np
import pytest
from model2vec.quantization import DType, quantize_and_reduce_dim, quantize_embeddings
from model2vec.vocabulary_quantization import quantize_vocabulary
def test_quantize_and_reduce_dim() -> None:
"""Test quantization and dimensionality reduction."""
embeddings = np.array([[1.... | (2, 2) | assert | collection | tests/test_quantization.py | test_quantize_and_reduce_dim | 44 | null | |
reubano/meza | import itertools as it
from os import path as p
from json import loads
from tempfile import TemporaryFile
from io import StringIO, BytesIO
from decimal import Decimal
from urllib.request import urlopen
from contextlib import closing
import requests
import responses
import pygogo as gogo
import pytest
from meza impor... | row | assert | variable | tests/test_io.py | test_urlopen_utf8 | TestUrlopen | 431 | null |
reubano/meza | import itertools as it
import requests
import responses
from io import StringIO
from operator import itemgetter
import pytest
from meza import fntools as ft, io, stats
def setup_module():
"""site initialization"""
global initialized
initialized = True
print("Site Module Setup\n")
class TestIterStri... | next(ft.chunk(content)) | assert | func_call | tests/test_fntools.py | test_chunk | TestIterStringIO | 149 | null |
reubano/meza | import itertools as it
from os import path as p
from json import loads
from tempfile import TemporaryFile
from io import StringIO, BytesIO
from decimal import Decimal
from urllib.request import urlopen
from contextlib import closing
import requests
import responses
import pygogo as gogo
import pytest
from meza impor... | feature | assert | variable | tests/test_io.py | test_geojson_with_key | TestGeoJSON | 536 | null |
reubano/meza | import itertools as it
from decimal import Decimal
from functools import partial
from operator import itemgetter, truediv, eq, is_not, contains
from collections import defaultdict
import pytest
from meza import process as pr, stats, fntools as ft
def setup_module():
"""site initialization"""
global initiali... | result_set | assert | variable | tests/test_process.py | test_pivot | Test | 268 | null |
reubano/meza | import itertools as it
from os import path as p
from json import loads
from tempfile import TemporaryFile
from io import StringIO, BytesIO
from decimal import Decimal
from urllib.request import urlopen
from contextlib import closing
import requests
import responses
import pygogo as gogo
import pytest
from meza impor... | records[0] | assert | complex_expr | tests/test_io.py | test_csv_last_row | TestInput | 299 | null |
reubano/meza | import itertools as it
import requests
import responses
from io import StringIO
from operator import itemgetter
import pytest
from meza import fntools as ft, io, stats
def setup_module():
"""site initialization"""
global initialized
initialized = True
print("Site Module Setup\n")
class TestIterStri... | 1 | assert | numeric_literal | tests/test_fntools.py | test_objectify | TestIterStringIO | 200 | null |
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