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 |
|---|---|---|---|---|---|---|---|---|---|
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBuildParagraphStyle:
def test_no_params_returns_empty(self):
style, fie... | {} | assert | collection | tests/gdocs/test_paragraph_style.py | test_no_params_returns_empty | TestBuildParagraphStyle | 20 | null |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.scopes import (
BASE_SCOPES,
CALENDAR_READONLY_SCOPE,
CALENDAR_SCOPE,
CONTACTS_READONLY_SCOPE,
CONTACTS_SCOPE,
DRIVE_FILE_SCOPE,
DRIVE_READONLY_SCOPE,
DRIVE_SCOPE,
GMAI... | scopes | assert | variable | tests/test_scopes.py | test_docs_includes_drive_readonly | TestDocsScopes | 45 | null |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.scopes import (
BASE_SCOPES,
CALENDAR_READONLY_SCOPE,
CALENDAR_SCOPE,
CONTACTS_READONLY_SCOPE,
CONTACTS_SCOPE,
DRIVE_FILE_SCOPE,
DRIVE_READONLY_SCOPE,
DRIVE_SCOPE,
GMAI... | with_permissions | assert | variable | tests/test_scopes.py | test_permissions_mode_overrides_read_only_and_full_maps | TestGranularPermissionsScopes | 230 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBuildParagraphStyle:
def test_heading_zero_maps_to_normal_text(self):
... | "NORMAL_TEXT" | assert | string_literal | tests/gdocs/test_paragraph_style.py | test_heading_zero_maps_to_normal_text | TestBuildParagraphStyle | 25 | null |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def fake_resolve_tools_from_tier(tier, services):
assert tier == "core"
assert services == | ["gmail", "drive", "slides"] | assert | collection | tests/test_main_permissions_tier.py | fake_resolve_tools_from_tier | 23 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestCreateUpdateParagraphStyleRequest:
def test_produces_correct_api_structure(sel... | "namedStyleType" | assert | string_literal | tests/gdocs/test_paragraph_style.py | test_produces_correct_api_structure | TestCreateUpdateParagraphStyleRequest | 60 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBuildParagraphStyle:
def test_line_spacing_scaled_to_percentage(self):
... | 150.0 | assert | numeric_literal | tests/gdocs/test_paragraph_style.py | test_line_spacing_scaled_to_percentage | TestBuildParagraphStyle | 37 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBuildParagraphStyle:
def test_dimension_field_uses_pt_unit(self):
styl... | {"magnitude": 36.0, "unit": "PT"} | assert | collection | tests/gdocs/test_paragraph_style.py | test_dimension_field_uses_pt_unit | TestBuildParagraphStyle | 41 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "TOP" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_vertical_alignment_top | 157 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gcontacts.contacts_tools import (
_format_contact,
_build_person_body,
)
class TestBuildPersonBody:
def test_build_empty_body(self):
"""Test building an empty person body."""
b... | {} | assert | collection | tests/gcontacts/test_contacts_tools.py | test_build_empty_body | TestBuildPersonBody | 245 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "CLIP" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_wrap_strategy_clip | 66 | null | |
taylorwilsdon/google_workspace_mcp | import os
import socket
import sys
import httpx
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive import drive_tools
@pytest.mark.asyncio
async def test_fetch_url_with_pinned_ip_uses_pinned_target_and_host_header(monkeypatch):
"""Requests should targ... | 200 | assert | numeric_literal | tests/gdrive/test_ssrf_protections.py | test_fetch_url_with_pinned_ip_uses_pinned_target_and_host_header | 119 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock, AsyncMock, patch
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive.drive_helpers import build_drive_list_params
from gdrive.drive_tools import list_drive_items, search_drive_files
def _unwrap(tool):
... | q | assert | variable | tests/gdrive/test_drive_tools.py | test_search_file_type_structured_query_combined | 796 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from starlette.requests import Request
from starlette.responses import FileResponse, JSONResponse
from core.server import serve_attachment
def _build_request(file_id: str) -> Request:
scope = {
"type": "http",
"asgi": {"version": "3.0"},
"http_version": "1.1",
"method... | "abc123" | assert | string_literal | tests/core/test_attachment_route.py | test_serve_attachment_uses_path_param_file_id | 50 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive.drive_tools import _create_drive_folder_impl as _raw_create_drive_folder
def _make_service(created_response):
"""Build a mock... | result | assert | variable | tests/gdrive/test_create_drive_folder.py | test_create_folder_root_skips_resolve | 50 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def test_permissions_and_tools_flags_are_rejected(monkeypatch, capsys):
monkeypatch.setattr(main, "configure_safe_logging", lambda: None)
monkeypatch.setattr(
sys,
... | SystemExit) | pytest.raises | variable | tests/test_main_permissions_tier.py | test_permissions_and_tools_flags_are_rejected | 55 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.scopes import (
BASE_SCOPES,
CALENDAR_READONLY_SCOPE,
CALENDAR_SCOPE,
CONTACTS_READONLY_SCOPE,
CONTACTS_SCOPE,
DRIVE_FILE_SCOPE,
DRIVE_READONLY_SCOPE,
DRIVE_SCOPE,
GMAI... | len(set(scopes)) | assert | func_call | tests/test_scopes.py | test_docs_sheets_returns_unique_scopes | TestCombinedScopes | 83 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "RIGHT" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_horizontal_alignment_right | 139 | null | |
taylorwilsdon/google_workspace_mcp | import base64
import pytest
from unittest.mock import AsyncMock, Mock, patch
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
def _make_message(text="Hello", attachments=None, msg_name="spaces/S/messages/M"):
"""Build a minimal Chat API message dict for te... | result | assert | variable | tests/gchat/test_chat_tools.py | test_get_messages_shows_attachment_metadata | 81 | null | |
taylorwilsdon/google_workspace_mcp | import os
import socket
import sys
import httpx
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive import drive_tools
@pytest.mark.asyncio
async def test_ssrf_safe_fetch_rejects_disallowed_redirect_scheme(monkeypatch):
"""Redirects to non-http(s) sche... | ValueError, match="Redirect to disallowed scheme") | pytest.raises | complex_expr | tests/gdrive/test_ssrf_protections.py | test_ssrf_safe_fetch_rejects_disallowed_redirect_scheme | 164 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def test_permissions_and_tools_flags_are_rejected(monkeypatch, capsys):
monkeypatch.setattr(main, "configure_safe_logging", lambda: None)
monkeypatch.setattr(
sys,
... | 1 | assert | numeric_literal | tests/test_main_permissions_tier.py | test_permissions_and_tools_flags_are_rejected | 58 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gappsscript.apps_script_tools import (
_list_script_projects_impl,
_get_script_project_impl,
_create_script_project_impl,
_update_script_content_... | result | assert | variable | tests/gappsscript/test_apps_script_tools.py | test_list_script_projects | 56 | null | |
taylorwilsdon/google_workspace_mcp | import base64
import os
import sys
import pytest
def test_urlsafe_b64decode_already_handles_crlf():
"""Verify Python's urlsafe_b64decode ignores embedded CR/LF without manual stripping."""
original = b"Testdata"
b64 = base64.urlsafe_b64encode(original).decode()
assert base64.urlsafe_b64decode(b64 + ... | original | assert | variable | tests/gmail/test_attachment_fix.py | test_urlsafe_b64decode_already_handles_crlf | 13 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBatchManagerIntegration:
def manager(self):
from gdocs.managers.batch_... | 1 | assert | numeric_literal | tests/gdocs/test_paragraph_style.py | test_end_to_end_execute | TestBatchManagerIntegration | 139 | null |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gcontacts.contacts_tools import (
_format_contact,
_build_person_body,
)
class TestFormatContact:
def test_format_basic_contact(self):
"""Test formatting a contact with basic fields.""... | result | assert | variable | tests/gcontacts/test_contacts_tools.py | test_format_basic_contact | TestFormatContact | 32 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestBatchManagerIntegration:
def manager(self):
from gdocs.managers.batch_... | request | assert | variable | tests/gdocs/test_paragraph_style.py | test_build_request_and_description | TestBatchManagerIntegration | 120 | null |
taylorwilsdon/google_workspace_mcp | import os
import socket
import sys
import httpx
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive import drive_tools
@pytest.mark.asyncio
async def test_ssrf_safe_fetch_follows_relative_redirects(monkeypatch):
"""Relative redirects should be resolved... | ["https://example.com/start", "https://example.com/next"] | assert | collection | tests/gdrive/test_ssrf_protections.py | test_ssrf_safe_fetch_follows_relative_redirects | 148 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def test_resolve_permissions_mode_selection_with_tier_filters_services(monkeypatch):
def fake_resolve_tools_from_tier(tier, services):
assert tier == "core"
assert se... | {"search_gmail_messages"} | assert | collection | tests/test_main_permissions_tier.py | test_resolve_permissions_mode_selection_with_tier_filters_services | 32 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gforms.forms_tools import _batch_update_form_impl
@pytest.mark.asyncio
async def test_batch_update_form_multiple_requests():
"""Test batch update with multi... | result | assert | variable | tests/gforms/test_forms_tools.py | test_batch_update_form_multiple_requests | 63 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.scopes import (
BASE_SCOPES,
CALENDAR_READONLY_SCOPE,
CALENDAR_SCOPE,
CONTACTS_READONLY_SCOPE,
CONTACTS_SCOPE,
DRIVE_FILE_SCOPE,
DRIVE_READONLY_SCOPE,
DRIVE_SCOPE,
GMAI... | 1 | assert | numeric_literal | tests/test_scopes.py | test_docs_sheets_no_duplicate_drive_readonly | TestCombinedScopes | 78 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestCreateUpdateParagraphStyleRequest:
def test_produces_correct_api_structure(sel... | {"startIndex": 1, "endIndex": 10} | assert | collection | tests/gdocs/test_paragraph_style.py | test_produces_correct_api_structure | TestCreateUpdateParagraphStyleRequest | 58 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | 16 | assert | numeric_literal | tests/gsheets/test_format_sheet_range.py | test_format_combined_text_formatting | 270 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | True | assert | bool_literal | tests/gsheets/test_format_sheet_range.py | test_format_bold_true | 211 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gcontacts.contacts_tools import (
_format_contact,
_build_person_body,
)
class TestBuildPersonBody:
def test_build_body_job_title_only(self):
"""Test building a person body with only j... | "CEO" | assert | string_literal | tests/gcontacts/test_contacts_tools.py | test_build_body_job_title_only | TestBuildPersonBody | 223 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "WRAP" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_wrap_strategy_wrap | 47 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def test_narrow_permissions_to_services_keeps_selected_order():
permissions = {"drive": "full", "gmail": "readonly", "calendar": "readonly"}
narrowed = main.narrow_permissions_to... | {"gmail": "readonly", "drive": "full"} | assert | collection | tests/test_main_permissions_tier.py | test_narrow_permissions_to_services_keeps_selected_order | 38 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import AsyncMock, Mock
from gdocs.docs_helpers import (
build_paragraph_style,
create_update_paragraph_style_request,
)
from gdocs.managers.validation_manager import ValidationManager
class TestCreateUpdateParagraphStyleRequest:
def test_returns_none_when_no_styles(self):
... | None | assert | none_literal | tests/gdocs/test_paragraph_style.py | test_returns_none_when_no_styles | TestCreateUpdateParagraphStyleRequest | 53 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock, AsyncMock, patch
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive.drive_helpers import build_drive_list_params
from gdrive.drive_tools import list_drive_items, search_drive_files
def _unwrap(tool):
... | result | assert | variable | tests/gdrive/test_drive_tools.py | test_search_drive_files_no_next_page_token_when_absent | 113 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def fake_resolve_tools_from_tier(tier, services):
assert tier == | "core" | assert | string_literal | tests/test_main_permissions_tier.py | fake_resolve_tools_from_tier | 22 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gcontacts.contacts_tools import (
_format_contact,
_build_person_body,
)
class TestBuildPersonBody:
def test_build_basic_body(self):
"""Test building a basic person body."""
bo... | "Doe" | assert | string_literal | tests/gcontacts/test_contacts_tools.py | test_build_basic_body | TestBuildPersonBody | 191 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "A1:C10" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_wrap_strategy_wrap | 42 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.permissions import (
get_scopes_for_permission,
parse_permissions_arg,
SERVICE_PERMISSION_LEVELS,
)
from auth.scopes import (
GMAIL_READONLY_SCOPE,
GMAIL_LABELS_SCOPE,
... | set(SERVICE_PERMISSION_LEVELS.keys()) | assert | func_call | tests/test_permissions.py | test_all_services_at_readonly | TestParsePermissionsArg | 45 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "CENTER" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_horizontal_alignment_center | 103 | null | |
taylorwilsdon/google_workspace_mcp | import os
import sys
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import main
def test_resolve_permissions_mode_selection_without_tier():
services = ["gmail", "drive"]
resolved_services, tier_tool_filter = main.resolve_permissions_mode_selection(
s... | None | assert | none_literal | tests/test_main_permissions_tier.py | test_resolve_permissions_mode_selection_without_tier | 17 | null | |
taylorwilsdon/google_workspace_mcp | import pytest
from unittest.mock import Mock
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gsheets.sheets_tools import _format_sheet_range_impl
def create_mock_service():
"""Create a properly configured mock Google Sheets service."""
mock_serv... | "LEFT" | assert | string_literal | tests/gsheets/test_format_sheet_range.py | test_format_horizontal_alignment_left | 121 | null | |
taylorwilsdon/google_workspace_mcp | import os
import socket
import sys
import httpx
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdrive import drive_tools
def test_resolve_and_validate_host_deduplicates_addresses(monkeypatch):
"""Duplicate DNS answers should be de-duplicated while preser... | [ "93.184.216.34", "2606:2800:220:1:248:1893:25c8:1946", ] | assert | collection | tests/gdrive/test_ssrf_protections.py | test_resolve_and_validate_host_deduplicates_addresses | 79 | null | |
taylorwilsdon/google_workspace_mcp | import sys
import os
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.permissions import (
get_scopes_for_permission,
parse_permissions_arg,
SERVICE_PERMISSION_LEVELS,
)
from auth.scopes import (
GMAIL_READONLY_SCOPE,
GMAIL_LABELS_SCOPE,
... | ValueError, match="Unknown level") | pytest.raises | complex_expr | tests/test_permissions.py | test_unknown_level_raises | TestParsePermissionsArg | 60 | null |
taylorwilsdon/google_workspace_mcp | import sys
import os
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from auth.permissions import (
get_scopes_for_permission,
parse_permissions_arg,
SERVICE_PERMISSION_LEVELS,
)
from auth.scopes import (
GMAIL_READONLY_SCOPE,
GMAIL_LABELS_SCOPE,
... | {"gmail": "readonly"} | assert | collection | tests/test_permissions.py | test_single_valid_entry | TestParsePermissionsArg | 36 | null |
taylorwilsdon/google_workspace_mcp | import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
from gdocs.docs_markdown import (
convert_doc_to_markdown,
format_comments_appendix,
format_comments_inline,
parse_drive_comments,
)
SIMPLE_DOC = {
"title": "Simple Test",
"body": {
... | md | assert | variable | tests/gdocs/test_docs_markdown.py | test_plain_text | TestTextFormatting | 227 | null |
taylorwilsdon/google_workspace_mcp | import pytest
from starlette.requests import Request
from starlette.responses import FileResponse, JSONResponse
from core.server import serve_attachment
def _build_request(file_id: str) -> Request:
scope = {
"type": "http",
"asgi": {"version": "3.0"},
"http_version": "1.1",
"method... | 200 | assert | numeric_literal | tests/core/test_attachment_route.py | test_serve_attachment_uses_path_param_file_id | 52 | null | |
shakedzy/dython | import pytest
from dython.data_utils import one_hot_encode
def test_more_than_one_dimension():
lst = [[0, 1], [2, 3]]
with pytest.raises( | ValueError, match="must have only one dimension") | pytest.raises | complex_expr | tests/test_data_utils/test_one_hot_encode.py | test_more_than_one_dimension | 24 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import associations, replot_last_associations
def test_replot_last_associations():
"""Test replot_last_associations function"""
df = pd.DataFrame({
'cat1': ['a', 'b', 'c', 'a'],
'num1': [1, 2, 3, 4]
})
# First crea... | None | assert | none_literal | tests/test_nominal/test_associations_advanced.py | test_replot_last_associations | 325 | null | |
shakedzy/dython | import pytest
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.axes._axes import Axes
from dython.data_utils import split_hist
class TestSplitHistAdvanced:
def test_split_hist_with_figsize(self, iris_df):
"""Test split_hist with custom figsize"""
result = spli... | 6 | assert | numeric_literal | tests/test_data_utils/test_split_hist_advanced.py | test_split_hist_with_figsize | TestSplitHistAdvanced | 169 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import numerical_encoding
def test_numerical_encoding_single_value_with_numeric():
"""Test numerical encoding with single value column alongside numeric"""
df = pd.DataFrame({
'num': [1, 2, 3, 4],
'cat1': ['a', 'a', 'a', '... | result.columns | assert | complex_expr | tests/test_nominal/test_numerical_encoding.py | test_numerical_encoding_single_value_with_numeric | 60 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestRemoveIncompleteSamplesAdditional:
def test_remove_incomplete_samples_no_nans(... | y) | assert_* | variable | tests/test_private_helpers_advanced.py | test_remove_incomplete_samples_no_nans | TestRemoveIncompleteSamplesAdditional | 146 | null |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import ks_abc
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_ks_abc_check_known_value(y_true, y_pre... | pytest.approx(0.4) | assert | func_call | tests/test_model_utils/test_ks_abc.py | test_ks_abc_check_known_value | 48 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestRemoveIncompleteSamplesAdditional:
def test_remove_incomplete_samples_no_nans(... | x) | assert_* | variable | tests/test_private_helpers_advanced.py | test_remove_incomplete_samples_no_nans | TestRemoveIncompleteSamplesAdditional | 145 | null |
shakedzy/dython | import pytest
from hypothesis import given, strategies as st
from dython.nominal import theils_u
def test_theils_u_check(iris_df):
x = iris_df["extra"]
y = iris_df["target"]
# Note: this measure is not symmetric
assert theils_u(x, y) == pytest.approx(0.02907500150218738)
assert theils_u(y, x) ==... | pytest.approx(0.0424761859049835) | assert | func_call | tests/test_nominal/test_theils_u.py | test_theils_u_check | 13 | null | |
shakedzy/dython | import pytest
from hypothesis import given, strategies as st
from dython.nominal import theils_u
def two_categorical_lists(draw):
n = draw(st.integers(min_value=2, max_value=30))
categorical_lists = st.lists(categories, min_size=n, max_size=n)
return draw(categorical_lists), draw(categorical_lists)
@giv... | u_xy | assert | variable | tests/test_nominal/test_theils_u.py | test_theils_u_value_range | 38 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import metric_graph
def test_metric_graph_with_ax():
"""Test metric_graph with provided ax"""
y_true = [0, 1, 0, 1]
y_pred = [0.1, 0.9, 0.3, 0.8]
fig, ax = plt.subplots()
result = metric_graph(y_true, y_pr... | ax | assert | variable | tests/test_model_utils/test_metric_graph_advanced.py | test_metric_graph_with_ax | 154 | null | |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import ks_abc
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_ks_abc_check_known_value(y_true, y_pre... | 0.4) | pytest.approx | numeric_literal | tests/test_model_utils/test_ks_abc.py | test_ks_abc_check_known_value | 48 | null | |
shakedzy/dython | import pytest
from hypothesis import given, strategies as st
from dython.nominal import theils_u
@given(x=st.lists(categories, min_size=2, max_size=30))
def test_theils_u_identity(x):
assert theils_u(x, x) == | pytest.approx(1.0) | assert | func_call | tests/test_nominal/test_theils_u.py | test_theils_u_identity | 21 | null | |
shakedzy/dython | import pytest
import pandas as pd
import scipy.stats as ss
import numpy as np
from psutil import cpu_count
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
MAX_CORE_COUNT = cpu_count(logical=False)
def test_dimension_check(iris... | corr_shape[1] | assert | complex_expr | tests/test_nominal/test_associations_parallel.py | test_dimension_check | 42 | null | |
shakedzy/dython | import pytest
import pandas as pd
import numpy as np
import scipy.stats as ss
from sklearn import datasets
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
def test_compute_only_ax_is_none(iris_df):
assoc = associations(iris... | None | assert | none_literal | tests/test_nominal/test_associations.py | test_compute_only_ax_is_none | 69 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import associations, theils_u, correlation_ratio, cramers_v
def test_correlation_ratio_zero_numerator():
"""Test correlation ratio with zero numerator"""
# All measurements are the same
categories = ['a', 'b', 'c', 'a']
measuremen... | 0.0 | assert | numeric_literal | tests/test_nominal/test_inf_nan_handling.py | test_correlation_ratio_zero_numerator | 42 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import metric_graph
def test_metric_graph_binary_no_eopt():
"""Test metric_graph binary without eopt"""
y_true = [0, 1, 0, 1]
y_pred = [0.1, 0.9, 0.3, 0.8]
result = metric_graph(y_true, y_pred, metric='roc', e... | 1 | assert | numeric_literal | tests/test_model_utils/test_metric_graph_advanced.py | test_metric_graph_binary_no_eopt | 116 | null | |
shakedzy/dython | import pytest
import numpy as np
from dython.sampling import boltzmann_sampling, weighted_sampling
def population(request):
if request.param == "list":
return [0.0, 1.0, 2.0, 3.0, 4.0]
elif request.param == "array":
return np.array([0.0, 1.0, 2.0, 3.0, 4.0])
@parametrize_sampling_funcs
def tes... | np.float64 | assert | complex_expr | tests/test_sampling.py | test_k_none | 22 | null | |
shakedzy/dython | import pytest
from dython.data_utils import one_hot_encode
def test_negative_input():
lst = [-1, -5, 0, 3]
with pytest.raises( | ValueError, match="negative value") | pytest.raises | complex_expr | tests/test_data_utils/test_one_hot_encode.py | test_negative_input | 17 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import associations, replot_last_associations
def test_associations_with_numerical_columns():
"""Test associations with numerical_columns parameter"""
df = pd.DataFrame({
'cat1': ['a', 'b', 'c', 'a'],
'cat2': ['x', 'y', 'x... | result | assert | variable | tests/test_nominal/test_associations_advanced.py | test_associations_with_numerical_columns | 16 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import numerical_encoding
def test_numerical_encoding_return_dict():
"""Test numerical encoding with drop_fact_dict=False"""
df = pd.DataFrame({
'cat1': ['a', 'b', 'a', 'b'],
'num': [1, 2, 3, 4]
})
result = numeric... | 2 | assert | numeric_literal | tests/test_nominal/test_numerical_encoding.py | test_numerical_encoding_return_dict | 84 | null | |
shakedzy/dython | import pytest
import functools
import numpy as np
from hypothesis import given, strategies as st, assume, settings
from dython.nominal import cramers_v
approx = functools.partial(pytest.approx, abs=1e-6, rel=1e-6)
def test_cramers_v_check(iris_df):
x = iris_df["extra"]
y = iris_df["target"]
# Note: this... | 0.14201914309546954) | pytest.approx | numeric_literal | tests/test_nominal/test_cramers_v.py | test_cramers_v_check | 18 | null | |
shakedzy/dython | import pytest
import pandas as pd
import scipy.stats as ss
import numpy as np
from psutil import cpu_count
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
MAX_CORE_COUNT = cpu_count(logical=False)
def test_bad_nom_nom_assoc_pa... | ValueError, match="is not a supported") | pytest.raises | complex_expr | tests/test_nominal/test_associations_parallel.py | test_bad_nom_nom_assoc_parameter | 65 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.data_utils import identify_columns_by_type, identify_columns_with_na
class TestIdentifyColumnsWithNA:
def test_identify_columns_with_na_all_na(self):
"""Test when all values in a column are NA"""
df = pd.DataFrame({
'col1... | 4 | assert | numeric_literal | tests/test_data_utils/test_identify_columns.py | test_identify_columns_with_na_all_na | TestIdentifyColumnsWithNA | 173 | null |
shakedzy/dython | import pytest
import functools
import numpy as np
from hypothesis import given, strategies as st, assume, settings
from dython.nominal import cramers_v
approx = functools.partial(pytest.approx, abs=1e-6, rel=1e-6)
def two_categorical_lists(draw):
n = draw(st.integers(min_value=2, max_value=30))
categorical_l... | 1.0) | pytest.approx | numeric_literal | tests/test_nominal/test_cramers_v.py | test_cramers_v_value_range | 46 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestConvertAdditional:
def test_convert_ndarray_to_list_2d(self):
"""Test ... | 3 | assert | numeric_literal | tests/test_private_helpers_advanced.py | test_convert_ndarray_to_list_2d | TestConvertAdditional | 49 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import numerical_encoding
def test_numerical_encoding_none():
"""Test numerical encoding with None nominal columns"""
df = pd.DataFrame({
'num1': [1, 2, 3, 4],
'num2': [5, 6, 7, 8]
})
result = numerical_encoding(df... | df) | assert_* | variable | tests/test_nominal/test_numerical_encoding.py | test_numerical_encoding_none | 47 | null | |
shakedzy/dython | import pytest
from hypothesis import given, strategies as st
from dython.nominal import theils_u
@given(x=st.lists(categories, min_size=2, max_size=30))
def test_theils_u_identity(x):
assert theils_u(x, x) == pytest.approx( | 1.0) | pytest.approx | numeric_literal | tests/test_nominal/test_theils_u.py | test_theils_u_identity | 21 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import associations, theils_u, correlation_ratio, cramers_v
def test_correlation_ratio_precision_warning():
"""Test correlation ratio with values that need precision rounding"""
# Create data that produces eta slightly > 1
np.random.s... | result | assert | variable | tests/test_nominal/test_inf_nan_handling.py | test_correlation_ratio_precision_warning | 53 | null | |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import metric_graph
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_metric_graph_bad_metric_paramete... | ValueError, match="Invalid metric") | pytest.raises | complex_expr | tests/test_model_utils/test_metric_graph.py | test_metric_graph_bad_metric_parameter | 28 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import metric_graph
def test_metric_graph_with_colors_string():
"""Test metric_graph with colors as string"""
y_true = [0, 1, 0, 1]
y_pred = [0.1, 0.9, 0.3, 0.8]
result = metric_graph(y_true, y_pred, metric='r... | result | assert | variable | tests/test_model_utils/test_metric_graph_advanced.py | test_metric_graph_with_colors_string | 80 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import ks_abc
def test_ks_abc_basic():
"""Test basic ks_abc functionality"""
y_true = [0, 1, 0, 1, 1, 0]
y_pred = [0.1, 0.9, 0.3, 0.8, 0.7, 0.2]
result = ks_abc(y_true, y_pred, plot=False)
assert 'abc' in... | result | assert | variable | tests/test_model_utils/test_ks_abc_advanced.py | test_ks_abc_basic | 13 | null | |
shakedzy/dython | import pytest
import pandas as pd
import scipy.stats as ss
import numpy as np
from psutil import cpu_count
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
MAX_CORE_COUNT = cpu_count(logical=False)
def test_return_type_check(ir... | assoc | assert | variable | tests/test_nominal/test_associations_parallel.py | test_return_type_check | 20 | null | |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import ks_abc
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_ks_abc_check_known_value(y_true, y_pre... | 1.0) | pytest.approx | numeric_literal | tests/test_model_utils/test_ks_abc.py | test_ks_abc_check_known_value | 47 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestReplaceNanWithValueAdditional:
def test_replace_nan_with_value_none(self):
... | 0 | assert | numeric_literal | tests/test_private_helpers_advanced.py | test_replace_nan_with_value_none | TestReplaceNanWithValueAdditional | 171 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from sklearn import datasets
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
)
pd.set_option("mode.chained_assignment", None)
def iris_df():
iris = datasets.load_iris()
df = pd.DataFrame(data=iris.data, ... | len(y_) | assert | func_call | tests/test_private_helpers.py | test_remove_incomplete_cases_one_nan_each | 64 | null | |
shakedzy/dython | import pytest
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.axes._axes import Axes
from dython.data_utils import split_hist
class TestSplitHistAdvanced:
def test_split_hist_all_parameters(self, iris_df):
"""Test split_hist with all parameters specified"""
r... | "Complete Test" | assert | string_literal | tests/test_data_utils/test_split_hist_advanced.py | test_split_hist_all_parameters | TestSplitHistAdvanced | 250 | null |
shakedzy/dython | import pytest
import pandas as pd
import numpy as np
import scipy.stats as ss
from sklearn import datasets
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
def test_dimension_check(iris_df):
corr = associations(iris_df)["cor... | corr_shape[1] | assert | complex_expr | tests/test_nominal/test_associations.py | test_dimension_check | 36 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import metric_graph
def test_metric_graph_invalid_metric():
"""Test metric_graph with invalid metric"""
y_true = [0, 1, 0, 1]
y_pred = [0.1, 0.9, 0.3, 0.8]
with pytest.raises( | ValueError) | pytest.raises | variable | tests/test_model_utils/test_metric_graph_advanced.py | test_metric_graph_invalid_metric | 12 | null | |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestConvertAdditional:
def test_convert_list_to_list_no_copy(self):
"""Tes... | lst | assert | variable | tests/test_private_helpers_advanced.py | test_convert_list_to_list_no_copy | TestConvertAdditional | 56 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
plot_or_not,
set_is_jupyter,
)
class TestReplaceNanWithValueAdditional:
def test_replace_nan_with_value_mixed_types(sel... | -1 | assert | numeric_literal | tests/test_private_helpers_advanced.py | test_replace_nan_with_value_mixed_types | TestReplaceNanWithValueAdditional | 191 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.data_utils import identify_columns_by_type, identify_columns_with_na
class TestIdentifyColumnsByType:
def test_identify_no_matching_columns(self):
"""Test when no columns match the requested type"""
df = pd.DataFrame({
'i... | [] | assert | collection | tests/test_data_utils/test_identify_columns.py | test_identify_no_matching_columns | TestIdentifyColumnsByType | 89 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from sklearn import datasets
from dython._private import (
convert,
remove_incomplete_samples,
replace_nan_with_value,
)
pd.set_option("mode.chained_assignment", None)
def iris_df():
iris = datasets.load_iris()
df = pd.DataFrame(data=iris.data, ... | ValueError, match="Unknown") | pytest.raises | complex_expr | tests/test_private_helpers.py | test_convert_bad_output | 46 | null | |
shakedzy/dython | import pytest
import numpy as np
import matplotlib.pyplot as plt
from dython.model_utils import ks_abc
def test_ks_abc_with_ax():
"""Test ks_abc with provided ax"""
y_true = [0, 1, 0, 1]
y_pred = [0.1, 0.9, 0.3, 0.8]
fig, ax = plt.subplots()
result = ks_abc(y_true, y_pred, ax=ax, plot=False)
... | ax | assert | variable | tests/test_model_utils/test_ks_abc_advanced.py | test_ks_abc_with_ax | 62 | null | |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import metric_graph
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_metric_graph_check_types(y_true,... | result | assert | variable | tests/test_model_utils/test_metric_graph.py | test_metric_graph_check_types | 22 | null | |
shakedzy/dython | import pytest
from hypothesis import given, strategies as st
from dython.nominal import theils_u
def test_theils_u_check(iris_df):
x = iris_df["extra"]
y = iris_df["target"]
# Note: this measure is not symmetric
assert theils_u(x, y) == | pytest.approx(0.02907500150218738) | assert | func_call | tests/test_nominal/test_theils_u.py | test_theils_u_check | 12 | null | |
shakedzy/dython | import pytest
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.axes._axes import Axes
from dython.data_utils import split_hist
class TestSplitHistAdvanced:
def test_split_hist_with_figsize(self, iris_df):
"""Test split_hist with custom figsize"""
result = spli... | 10 | assert | numeric_literal | tests/test_data_utils/test_split_hist_advanced.py | test_split_hist_with_figsize | TestSplitHistAdvanced | 168 | null |
shakedzy/dython | import pytest
import numpy as np
import pandas as pd
from dython.nominal import numerical_encoding
def test_numerical_encoding_basic():
"""Test basic numerical encoding"""
df = pd.DataFrame({
'cat1': ['a', 'b', 'c', 'a'],
'cat2': ['x', 'y', 'x', 'y'],
'num': [1, 2, 3, 4]
})
resu... | len(df.columns) | assert | func_call | tests/test_nominal/test_numerical_encoding.py | test_numerical_encoding_basic | 16 | null | |
shakedzy/dython | import pytest
import pandas as pd
import scipy.stats as ss
import numpy as np
from psutil import cpu_count
from datetime import datetime, timedelta
from matplotlib.axes._axes import Axes
from dython.nominal import associations, correlation_ratio
MAX_CORE_COUNT = cpu_count(logical=False)
def test_compute_only_ax_is_n... | None | assert | none_literal | tests/test_nominal/test_associations_parallel.py | test_compute_only_ax_is_none | 87 | null | |
shakedzy/dython | import pytest
from dython.data_utils import one_hot_encode
def test_one_hot_encode_check():
lst = [0, 0, 2, 5]
row = len(lst)
col = max(lst) + 1
result = one_hot_encode(lst)
assert result.shape == | (row, col) | assert | collection | tests/test_data_utils/test_one_hot_encode.py | test_one_hot_encode_check | 11 | null | |
shakedzy/dython | import pytest
import numpy as np
from matplotlib.axes._axes import Axes
from dython.model_utils import ks_abc
def y_true():
return np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
def y_pred():
return np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
def test_ks_abc_check_known_value(y_true, y_pre... | pytest.approx(1.0) | assert | func_call | tests/test_model_utils/test_ks_abc.py | test_ks_abc_check_known_value | 47 | null |
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