id int64 0 328k | repository_name stringlengths 7 58 | file_path stringlengths 9 302 | class_name stringlengths 5 256 | human_written_code stringlengths 16 2.16M | class_skeleton stringlengths 18 1.49M ⌀ | total_program_units int64 1 1.76k | total_doc_str int64 0 771 | AvgCountLine float64 0 7.89k | AvgCountLineBlank float64 0 297 | AvgCountLineCode float64 0 7.89k | AvgCountLineComment float64 0 7.89k | AvgCyclomatic float64 0 130 | CommentToCodeRatio float64 0 168 | CountClassBase float64 0 40 | CountClassCoupled float64 0 583 | CountClassCoupledModified float64 0 575 | CountClassDerived float64 0 5.35k | CountDeclInstanceMethod float64 0 529 | CountDeclInstanceVariable float64 0 296 | CountDeclMethod float64 0 599 | CountDeclMethodAll float64 0 1.12k | CountLine float64 1 40.4k | CountLineBlank float64 0 8.16k | CountLineCode float64 1 25.7k | CountLineCodeDecl float64 1 8.15k | CountLineCodeExe float64 0 24.2k | CountLineComment float64 0 16.5k | CountStmt float64 1 9.71k | CountStmtDecl float64 1 8.15k | CountStmtExe float64 0 9.69k | MaxCyclomatic float64 0 759 | MaxInheritanceTree float64 0 16 | MaxNesting float64 0 34 | SumCyclomatic float64 0 2.9k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
323,000 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.Contact | from pydantic import BaseModel, Field
from typing import Any, Dict, List, Optional
class Contact(BaseModel):
"""Model for a Nextcloud contact."""
uid: str = Field(description='Contact UID')
fn: str = Field(description='Full name (formatted name)')
given_name: Optional[str] = Field(None, description='Gi... |
class Contact(BaseModel):
'''Model for a Nextcloud contact.'''
@property
def primary_email(self) -> Optional[str]:
'''Get the primary email address.'''
pass
@property
def primary_phone(self) -> Optional[str]:
'''Get the primary phone number.'''
pass | 5 | 3 | 9 | 0 | 7 | 2 | 2 | 0.12 | 1 | 1 | 0 | 0 | 2 | 0 | 2 | 84 | 49 | 3 | 41 | 23 | 36 | 5 | 27 | 21 | 24 | 2 | 5 | 1 | 4 |
323,001 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.ContactField | from pydantic import BaseModel, Field
from typing import Any, Dict, List, Optional
class ContactField(BaseModel):
"""Model for a contact field (email, phone, etc.)."""
type: str = Field(description="Field type (e.g., 'email', 'phone', 'address')")
value: str = Field(description='Field value')
label: Op... |
class ContactField(BaseModel):
'''Model for a contact field (email, phone, etc.).'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 9 | 1 | 7 | 5 | 6 | 1 | 5 | 5 | 4 | 0 | 5 | 0 | 0 |
323,002 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.CreateAddressBookResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class CreateAddressBookResponse(BaseResponse):
"""Response model for address book creation."""
addressbook: AddressBook = Field(description='The created address book') |
class CreateAddressBookResponse(BaseResponse):
'''Response model for address book creation.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 6 | 0 | 0 |
323,003 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.CreateContactResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class CreateContactResponse(BaseResponse):
"""Response model for contact creation."""
contact: Contact = Field(description='The created contact')
addressbook: str = Field(description='Address book the contact was created i... |
class CreateContactResponse(BaseResponse):
'''Response model for contact creation.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 5 | 1 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 0 | 6 | 0 | 0 |
323,004 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.DeleteAddressBookResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, StatusResponse
class DeleteAddressBookResponse(StatusResponse):
"""Response model for address book deletion."""
deleted_name: str = Field(description='Name of the deleted address book') |
class DeleteAddressBookResponse(StatusResponse):
'''Response model for address book deletion.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 7 | 0 | 0 |
323,005 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.DeleteContactResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, StatusResponse
class DeleteContactResponse(StatusResponse):
"""Response model for contact deletion."""
deleted_uid: str = Field(description='UID of the deleted contact')
addressbook: str = Field(description='Address book the contact was ... |
class DeleteContactResponse(StatusResponse):
'''Response model for contact deletion.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 5 | 1 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 0 | 7 | 0 | 0 |
323,006 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.ListAddressBooksResponse | from .base import BaseResponse, StatusResponse
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class ListAddressBooksResponse(BaseResponse):
"""Response model for listing address books."""
addressbooks: List[AddressBook] = Field(description='List of available address books')
... |
class ListAddressBooksResponse(BaseResponse):
'''Response model for listing address books.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 7 | 1 | 5 | 3 | 4 | 1 | 3 | 3 | 2 | 0 | 6 | 0 | 0 |
323,007 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.ListContactsResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
from typing import Any, Dict, List, Optional
class ListContactsResponse(BaseResponse):
"""Response model for listing contacts."""
contacts: List[Contact] = Field(description='List of contacts')
addressbook: str = Field(des... |
class ListContactsResponse(BaseResponse):
'''Response model for listing contacts.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 6 | 0 | 0 |
323,008 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/contacts.py | nextcloud_mcp_server.models.contacts.UpdateContactResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class UpdateContactResponse(BaseResponse):
"""Response model for contact updates."""
contact: Contact = Field(description='The updated contact')
addressbook: str = Field(description='Address book the contact belongs to') |
class UpdateContactResponse(BaseResponse):
'''Response model for contact updates.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 5 | 1 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 0 | 6 | 0 | 0 |
323,009 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.AppendContentResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
class AppendContentResponse(BaseResponse):
"""Response model for appending content to a note."""
id: int = Field(description='The updated note ID')
title: str = Field(description='The updated note title')
c... |
class AppendContentResponse(BaseResponse):
'''Response model for appending content to a note.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 7 | 1 | 5 | 4 | 4 | 1 | 5 | 4 | 4 | 0 | 6 | 0 | 0 |
323,010 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.CreateNoteResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
class CreateNoteResponse(IdResponse):
"""Response model for note creation."""
title: str = Field(description='The created note title')
category: str = Field(description='The created note category')
etag: st... |
class CreateNoteResponse(IdResponse):
'''Response model for note creation.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 7 | 0 | 0 |
323,011 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.DeleteNoteResponse | from .base import BaseResponse, IdResponse, StatusResponse
from pydantic import BaseModel, Field
class DeleteNoteResponse(StatusResponse):
"""Response model for note deletion."""
deleted_id: int = Field(description='ID of the deleted note') |
class DeleteNoteResponse(StatusResponse):
'''Response model for note deletion.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 7 | 0 | 0 |
323,012 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.Note | from datetime import datetime
from pydantic import BaseModel, Field
class Note(BaseModel):
"""Model for a Nextcloud note."""
id: int = Field(description='Note ID')
title: str = Field(description='Note title')
content: str = Field(description='Note content in markdown')
category: str = Field(default... |
class Note(BaseModel):
'''Model for a Nextcloud note.'''
@property
def modified_datetime(self) -> datetime:
'''Convert Unix timestamp to datetime.'''
pass | 3 | 2 | 3 | 0 | 2 | 1 | 1 | 0.14 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 83 | 18 | 2 | 14 | 10 | 11 | 2 | 11 | 9 | 9 | 1 | 5 | 0 | 1 |
323,013 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.NoteSearchResult | from pydantic import BaseModel, Field
from typing import List, Optional
class NoteSearchResult(BaseModel):
"""Model for note search results (limited fields)."""
id: int = Field(description='Note ID')
title: str = Field(description='Note title')
category: str = Field(default='', description='Note catego... |
class NoteSearchResult(BaseModel):
'''Model for note search results (limited fields).'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 1 | 5 | 4 | 4 | 1 | 5 | 4 | 4 | 0 | 5 | 0 | 0 |
323,014 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.NotesSettings | from pydantic import BaseModel, Field
class NotesSettings(BaseModel):
"""Model for Notes app settings."""
notesPath: str = Field(description='Path to notes directory')
fileSuffix: str = Field(description='File suffix for notes')
noteMode: str = Field(description='Note mode setting') |
class NotesSettings(BaseModel):
'''Model for Notes app settings.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 5 | 0 | 0 |
323,015 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.SearchNotesResponse | from .base import BaseResponse, IdResponse, StatusResponse
from pydantic import BaseModel, Field
from typing import List, Optional
class SearchNotesResponse(BaseResponse):
"""Response model for note search."""
results: List[NoteSearchResult] = Field(description='Search results')
query: str = Field(descript... |
class SearchNotesResponse(BaseResponse):
'''Response model for note search.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 6 | 0 | 0 |
323,016 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/notes.py | nextcloud_mcp_server.models.notes.UpdateNoteResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
class UpdateNoteResponse(BaseResponse):
"""Response model for note updates."""
id: int = Field(description='The updated note ID')
title: str = Field(description='The updated note title')
category: str = Fie... |
class UpdateNoteResponse(BaseResponse):
'''Response model for note updates.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 7 | 1 | 5 | 4 | 4 | 1 | 5 | 4 | 4 | 0 | 6 | 0 | 0 |
323,017 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.CreateRowResponse | from .base import BaseResponse, IdResponse, StatusResponse
from pydantic import BaseModel, Field
class CreateRowResponse(IdResponse):
"""Response model for row creation."""
row: TableRow = Field(description='The created row')
table_id: int = Field(description='Table ID the row was created in') |
class CreateRowResponse(IdResponse):
'''Response model for row creation.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 5 | 1 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 0 | 7 | 0 | 0 |
323,018 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.DeleteRowResponse | from .base import BaseResponse, IdResponse, StatusResponse
from pydantic import BaseModel, Field
class DeleteRowResponse(StatusResponse):
"""Response model for row deletion."""
deleted_id: int = Field(description='ID of the deleted row') |
class DeleteRowResponse(StatusResponse):
'''Response model for row deletion.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 7 | 0 | 0 |
323,019 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.GetSchemaResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
class GetSchemaResponse(BaseResponse):
"""Response model for getting table schema."""
table_schema: TableSchema = Field(description='Table schema information') |
class GetSchemaResponse(BaseResponse):
'''Response model for getting table schema.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 6 | 0 | 0 |
323,020 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.ListTablesResponse | from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
from typing import Any, Dict, List, Optional
class ListTablesResponse(BaseResponse):
"""Response model for listing tables."""
tables: List[Table] = Field(description='List of available tables')
total_count: int... |
class ListTablesResponse(BaseResponse):
'''Response model for listing tables.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 5 | 1 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 0 | 6 | 0 | 0 |
323,021 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.ReadTableResponse | from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
from .base import BaseResponse, IdResponse, StatusResponse
class ReadTableResponse(BaseResponse):
"""Response model for reading table rows."""
rows: List[TableRow] = Field(description='Table rows')
table_id: int = Field(desc... |
class ReadTableResponse(BaseResponse):
'''Response model for reading table rows.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 10 | 1 | 8 | 6 | 7 | 1 | 6 | 6 | 5 | 0 | 6 | 0 | 0 |
323,022 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.Table | from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class Table(BaseModel):
"""Model for a Nextcloud table."""
id: int = Field(description='Table ID')
title: str = Field(description='Table title')
emoji: Optional[str] = Field(None, description='Table emoji')
ownership... |
class Table(BaseModel):
'''Model for a Nextcloud table.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 23 | 1 | 21 | 14 | 20 | 1 | 15 | 14 | 14 | 0 | 5 | 0 | 0 |
323,023 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.TableColumn | from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class TableColumn(BaseModel):
"""Model for a table column definition."""
id: int = Field(description='Column ID')
title: str = Field(description='Column title')
type: str = Field(description='Column type (text, number, d... |
class TableColumn(BaseModel):
'''Model for a table column definition.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.04 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 25 | 1 | 23 | 16 | 22 | 1 | 17 | 16 | 16 | 0 | 5 | 0 | 0 |
323,024 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.TableRow | from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class TableRow(BaseModel):
"""Model for a table row."""
id: int = Field(description='Row ID')
created_by: Optional[str] = Field(None, description='User who created the row')
created_at: Optional[str] = Field(None, descri... |
class TableRow(BaseModel):
'''Model for a table row.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 1 | 9 | 6 | 8 | 1 | 7 | 6 | 6 | 0 | 5 | 0 | 0 |
323,025 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.TableSchema | from pydantic import BaseModel, Field
from typing import Any, Dict, List, Optional
class TableSchema(BaseModel):
"""Model for complete table schema including columns and views."""
table: Table = Field(description='Table information')
columns: List[TableColumn] = Field(description='Table columns')
views... |
class TableSchema(BaseModel):
'''Model for complete table schema including columns and views.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 5 | 0 | 0 |
323,026 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.TableView | from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class TableView(BaseModel):
"""Model for a table view."""
id: int = Field(description='View ID')
title: str = Field(description='View title')
emoji: Optional[str] = Field(None, description='View emoji')
description: ... |
class TableView(BaseModel):
'''Model for a table view.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.07 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 16 | 1 | 14 | 7 | 13 | 1 | 8 | 7 | 7 | 0 | 5 | 0 | 0 |
323,027 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/tables.py | nextcloud_mcp_server.models.tables.UpdateRowResponse | from .base import BaseResponse, IdResponse, StatusResponse
from pydantic import BaseModel, Field
class UpdateRowResponse(BaseResponse):
"""Response model for row updates."""
row: TableRow = Field(description='The updated row') |
class UpdateRowResponse(BaseResponse):
'''Response model for row updates.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 4 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 0 | 6 | 0 | 0 |
323,028 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.CreateDirectoryResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class CreateDirectoryResponse(StatusResponse):
"""Response model for directory creation."""
path: str = Field(description='Directory path that was created')
created: bool = Field(description='Whether directory was created ... |
class CreateDirectoryResponse(StatusResponse):
'''Response model for directory creation.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 7 | 1 | 5 | 3 | 4 | 1 | 3 | 3 | 2 | 0 | 7 | 0 | 0 |
323,029 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.DeleteResourceResponse | from typing import List, Optional
from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class DeleteResourceResponse(StatusResponse):
"""Response model for resource deletion."""
path: str = Field(description='Path that was deleted')
was_directory: bool = Field(description='Wh... |
class DeleteResourceResponse(StatusResponse):
'''Response model for resource deletion.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 10 | 1 | 8 | 4 | 7 | 1 | 4 | 4 | 3 | 0 | 7 | 0 | 0 |
323,030 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.DirectoryListing | from typing import List, Optional
from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
class DirectoryListing(BaseResponse):
"""Response model for directory listings."""
path: str = Field(description='Directory path')
items: List[FileInfo] = Field(description='Files and dire... |
class DirectoryListing(BaseResponse):
'''Response model for directory listings.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 9 | 1 | 7 | 7 | 6 | 1 | 7 | 7 | 6 | 0 | 6 | 0 | 0 |
323,031 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.FileInfo | from pydantic import BaseModel, Field
from datetime import datetime
from typing import List, Optional
class FileInfo(BaseModel):
"""Model for file/directory information."""
name: str = Field(description='File/directory name')
path: str = Field(description='Full path')
is_directory: bool = Field(descrip... |
class FileInfo(BaseModel):
'''Model for file/directory information.'''
@property
def last_modified_datetime(self) -> Optional[datetime]:
'''Convert last modified string to datetime.'''
pass | 3 | 2 | 8 | 0 | 7 | 1 | 3 | 0.1 | 1 | 3 | 0 | 0 | 1 | 0 | 1 | 83 | 24 | 2 | 20 | 10 | 17 | 2 | 15 | 9 | 13 | 3 | 5 | 1 | 3 |
323,032 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.ReadFileResponse | from .base import BaseResponse, StatusResponse
from typing import List, Optional
from pydantic import BaseModel, Field
class ReadFileResponse(BaseResponse):
"""Response model for reading file contents."""
path: str = Field(description='File path')
content: str = Field(description='File content (text or bas... |
class ReadFileResponse(BaseResponse):
'''Response model for reading file contents.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 12 | 1 | 10 | 8 | 9 | 1 | 8 | 8 | 7 | 0 | 6 | 0 | 0 |
323,033 | cbcoutinho/nextcloud-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/cbcoutinho_nextcloud-mcp-server/nextcloud_mcp_server/models/webdav.py | nextcloud_mcp_server.models.webdav.WriteFileResponse | from .base import BaseResponse, StatusResponse
from pydantic import BaseModel, Field
from typing import List, Optional
class WriteFileResponse(StatusResponse):
"""Response model for writing files."""
path: str = Field(description='File path that was written')
size: Optional[int] = Field(None, description='... |
class WriteFileResponse(StatusResponse):
'''Response model for writing files.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 6 | 1 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 7 | 0 | 0 |
323,034 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Attr | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import onnx_ir
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
i... |
class Attr(_protocols.AttributeProtocol, _protocols.ReferenceAttributeProtocol, _display.PrettyPrintable):
'''Base class for ONNX attributes or references.'''
def __init__(self, name: str, type: _enums.AttributeType, value: Any, ref_attr_name: str | None=None, *, doc_string: str | None=None) -> None:
... | 28 | 13 | 8 | 0 | 7 | 1 | 3 | 0.17 | 3 | 11 | 3 | 0 | 21 | 6 | 21 | 48 | 200 | 24 | 150 | 47 | 110 | 26 | 112 | 29 | 90 | 6 | 6 | 2 | 54 |
323,035 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.ExternalTensor | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import os
import onnx_ir
import mmap
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
import numpy as np
class ExternalTensor(TensorBase, _protocols.TensorProtocol):
... |
class ExternalTensor(TensorBase, _protocols.TensorProtocol):
'''An immutable concrete tensor with its data store on disk.
This class uses memory mapping to avoid loading the tensor into memory,
when the data type is supported by numpy. Otherwise, the tensor is loaded
into memory lazily when accessed.
... | 29 | 7 | 9 | 0 | 6 | 2 | 2 | 0.47 | 2 | 14 | 2 | 0 | 20 | 13 | 20 | 67 | 248 | 34 | 148 | 61 | 107 | 69 | 93 | 40 | 72 | 4 | 8 | 2 | 30 |
323,036 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Function | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import onnx_ir
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
import typing
import textwrap
class Function(_protocols.FunctionProtocol, ... |
class Function(_protocols.FunctionProtocol, Sequence[Node], _display.PrettyPrintable):
'''IR functions.
Like a graph, a function can have nodes that are not topologically sorted. It is
the responsibility of the user to maintain a topological order of the nodes.
Note that there is not a ``node`` attribu... | 52 | 11 | 6 | 0 | 4 | 1 | 1 | 0.44 | 3 | 18 | 7 | 0 | 33 | 5 | 33 | 84 | 272 | 52 | 154 | 82 | 96 | 67 | 102 | 57 | 67 | 4 | 6 | 1 | 42 |
323,037 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Graph | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import onnx_ir
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
import typing
from collections.abc import Set as AbstractSet
import heapq
... |
class Graph(_protocols.GraphProtocol, Sequence[Node], _display.PrettyPrintable):
'''IR Graph.
Graph represents a computation graph. In addition to the ONNX specification
specified fields, it also contains a mapping of :attr:`opset_imports`. This
allows different subgraphs to import different opsets. It... | 43 | 16 | 13 | 2 | 7 | 5 | 2 | 0.83 | 3 | 24 | 9 | 0 | 30 | 10 | 30 | 80 | 487 | 85 | 220 | 89 | 168 | 183 | 170 | 66 | 137 | 16 | 6 | 5 | 74 |
323,038 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.GraphView | import typing
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
class GraphView(Sequence[Node], _display.PrettyPrintable):
"""A read-on... |
class GraphView(Sequence[Node], _display.PrettyPrintable):
'''A read-only view on a graph.
The GraphView is useful for analysis of a subgraph. It can be initialized
with a subset of nodes from a :class:`Graph`. Creating GraphView does not
change the ownership of the nodes, and so it is possible to crea... | 16 | 2 | 4 | 0 | 4 | 0 | 1 | 0.47 | 2 | 9 | 2 | 0 | 11 | 9 | 11 | 47 | 106 | 19 | 59 | 37 | 34 | 28 | 36 | 22 | 24 | 2 | 6 | 1 | 13 |
323,039 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.LazyTensor | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
import numpy as np
class LazyTensor(TensorBase, _protocols.TensorProtocol):
"""A tensor that lazily evaluates a func... |
class LazyTensor(TensorBase, _protocols.TensorProtocol):
'''A tensor that lazily evaluates a function to get the actual tensor.
This class takes a function returning an `ir.TensorProtocol`, a dtype, and a shape argument.
The function is lazily evaluated to get the actual tensor when `tobytes()` or `numpy()... | 15 | 7 | 5 | 0 | 4 | 1 | 1 | 0.85 | 2 | 10 | 2 | 0 | 11 | 5 | 11 | 58 | 113 | 18 | 52 | 31 | 27 | 44 | 33 | 18 | 21 | 3 | 8 | 1 | 13 |
323,040 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Model | from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import textwrap
class Model(_protocols.ModelProtocol, _display.PrettyPrintable):
__sl... |
class Model(_protocols.ModelProtocol, _display.PrettyPrintable):
def __init__(self, graph: Graph, *, ir_version: int, producer_name: str | None=None, producer_version: str | None=None, domain: str | None=None, model_version: int | None=None, doc_string: str | None=None, functions: Sequence[Function]=(), metadata_... | 13 | 2 | 10 | 0 | 8 | 2 | 1 | 0.36 | 2 | 7 | 2 | 0 | 8 | 10 | 8 | 33 | 121 | 12 | 80 | 39 | 55 | 29 | 35 | 23 | 26 | 2 | 6 | 1 | 10 |
323,041 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Node | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
class Node(_pro... |
class Node(_protocols.NodeProtocol, _display.PrettyPrintable):
'''IR Node.
.. tip::
For a more convenient way (that supports Python objects
as attributes) to create a node, use the :func:`onnx_ir.node` constructor.
If ``graph`` is provided, the node will be added to the graph. Otherwise,
... | 50 | 21 | 11 | 1 | 6 | 4 | 2 | 0.67 | 2 | 19 | 5 | 0 | 30 | 12 | 30 | 56 | 413 | 63 | 213 | 95 | 146 | 142 | 128 | 58 | 97 | 8 | 6 | 3 | 57 |
323,042 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.OptionalType | class OptionalType(_RecursiveTypeBase):
"""A type that represents an optional element.""" | class OptionalType(_RecursiveTypeBase):
'''A type that represents an optional element.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 | 0 | 0 |
323,043 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.PackedTensor | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
import numpy as ... |
class PackedTensor(TensorBase, _protocols.TensorProtocol, Generic[TArrayCompatible]):
'''A tensor that stores 4bit datatypes in packed format.
.. versionadded:: 0.1.2
'''
def __init__(self, value: TArrayCompatible, dtype: _enums.DataType, *, shape: Shape | Sequence[int], name: str | None=None, doc_str... | 15 | 8 | 10 | 0 | 7 | 3 | 2 | 0.4 | 3 | 13 | 2 | 0 | 11 | 3 | 11 | 58 | 132 | 18 | 83 | 31 | 59 | 33 | 51 | 19 | 39 | 6 | 8 | 2 | 21 |
323,044 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.SequenceType | class SequenceType(_RecursiveTypeBase):
"""A type that represents a sequence of elements.""" | class SequenceType(_RecursiveTypeBase):
'''A type that represents a sequence of elements.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 | 0 | 0 |
323,045 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Shape | import typing
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
c... |
class Shape(_protocols.ShapeProtocol, _display.PrettyPrintable):
'''Represents the shape of a tensor, including its dimensions and optional denotations.
The :class:`Shape` class stores the dimensions of a tensor, which can be integers, None (unknown), or
symbolic dimensions. It provides methods for queryin... | 34 | 17 | 6 | 0 | 3 | 3 | 1 | 1.23 | 2 | 12 | 1 | 0 | 25 | 3 | 25 | 61 | 223 | 45 | 82 | 44 | 44 | 101 | 64 | 30 | 38 | 3 | 6 | 1 | 33 |
323,046 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.SparseTensorType | class SparseTensorType(_TensorTypeBase):
"""A type that represents a sparse tensor.""" | class SparseTensorType(_TensorTypeBase):
'''A type that represents a sparse tensor.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 | 0 | 0 |
323,047 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.StringTensor | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
import numpy as ... |
class StringTensor(TensorBase, _protocols.TensorProtocol):
'''Multidimensional array of strings (as binary data to match the string_data field in TensorProto).'''
def __init__(self, value: Sequence[bytes] | npt.NDArray[np.bytes_], *, shape: Shape | None=None, name: str | None=None, doc_string: str | None=None... | 17 | 8 | 6 | 0 | 4 | 1 | 1 | 0.32 | 2 | 12 | 2 | 0 | 12 | 2 | 12 | 59 | 89 | 14 | 60 | 28 | 35 | 19 | 39 | 16 | 26 | 3 | 8 | 2 | 16 |
323,048 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.SymbolicDim | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
class SymbolicDim(_protocols.SymbolicDimProtocol, _display.PrettyPrintable):
"""Immutable symbolic dimension that can be shared across multiple shapes.
SymbolicDim is used to represent ... |
class SymbolicDim(_protocols.SymbolicDimProtocol, _display.PrettyPrintable):
'''Immutable symbolic dimension that can be shared across multiple shapes.
SymbolicDim is used to represent a symbolic (non-integer) dimension in a tensor shape.
It is immutable and can be compared or hashed.
'''
def __in... | 8 | 5 | 5 | 0 | 3 | 2 | 1 | 0.59 | 2 | 4 | 0 | 0 | 6 | 1 | 6 | 31 | 45 | 10 | 22 | 10 | 14 | 13 | 18 | 9 | 11 | 2 | 6 | 1 | 8 |
323,049 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Tensor | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
import numpy as np
class Tensor(TensorBase, _protocols.TensorProtocol, Generic[TArrayCompatible]):
"""An immutable c... |
class Tensor(TensorBase, _protocols.TensorProtocol, Generic[TArrayCompatible]):
'''An immutable concrete tensor.
This class is a wrapper around the raw tensor data. The raw tensor data can be a numpy array
compatible object (e.g. ``np.ndarray``, ``torch.Tensor``) or a ``DLPack`` compatible object.
The ... | 14 | 7 | 13 | 1 | 8 | 5 | 2 | 0.82 | 3 | 11 | 2 | 1 | 10 | 3 | 10 | 57 | 185 | 24 | 91 | 30 | 68 | 75 | 59 | 18 | 48 | 9 | 8 | 2 | 24 |
323,050 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.TensorBase | from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import contextlib
import abc
import numpy as np
import math
class TensorBase(abc.ABC, _protocols.TensorProtocol, _display.PrettyPrintable):
"""Convenience Shared methods for classes implemen... |
class TensorBase(abc.ABC, _protocols.TensorProtocol, _display.PrettyPrintable):
'''Convenience Shared methods for classes implementing TensorProtocol.'''
def __init__(self, name: str | None=None, doc_string: str | None=None, metadata_props: dict[str, str] | None=None) -> None:
pass
def _printable... | 21 | 8 | 9 | 1 | 7 | 2 | 1 | 0.23 | 3 | 5 | 0 | 6 | 12 | 4 | 12 | 47 | 135 | 23 | 94 | 50 | 63 | 22 | 63 | 35 | 47 | 4 | 7 | 2 | 17 |
323,051 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.TensorType | class TensorType(_TensorTypeBase):
"""A type that represents a tensor."""
def __str__(self) -> str:
return f'{self.dtype}' | class TensorType(_TensorTypeBase):
'''A type that represents a tensor.'''
def __str__(self) -> str:
pass | 2 | 1 | 2 | 0 | 2 | 0 | 1 | 0.33 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 36 | 5 | 1 | 3 | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 7 | 0 | 1 |
323,052 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.TypeAndShape | import dataclasses
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
@dataclasses.dataclass
class TypeAndShape:
"""Type and shape.
Useful for constructing a type proto.
"""
type: _protocols.TypeProtocol | None
shape: Shape ... | @dataclasses.dataclass
class TypeAndShape:
'''Type and shape.
Useful for constructing a type proto.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 3 | 1 | 2 | 3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 |
323,053 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Usage | from typing import Any, Callable, Generic, NamedTuple, SupportsInt, Union
class Usage(NamedTuple):
"""A usage of a value in a node.
Attributes:
node: The node that uses the value.
idx: The input index of the value in the node.
"""
node: Node
idx: int |
class Usage(NamedTuple):
'''A usage of a value in a node.
Attributes:
node: The node that uses the value.
idx: The input index of the value in the node.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.67 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 3 | 1 | 2 | 5 | 3 | 1 | 2 | 0 | 1 | 0 | 0 |
323,054 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core.Value | from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
import onnx_ir
class Value(_protocols.ValueProtocol, _display.PrettyPrintable):
"""IR... |
class Value(_protocols.ValueProtocol, _display.PrettyPrintable):
'''IR Value.
A value is a named entity that can be used to represent an input or output of a graph,
a function, or a node. The information it stores generalizes over ``ValueInfoProto``
in the ONNX specification.
A :class:`Value` is al... | 41 | 19 | 8 | 0 | 5 | 3 | 2 | 0.55 | 2 | 16 | 8 | 0 | 27 | 14 | 27 | 56 | 303 | 47 | 165 | 82 | 109 | 91 | 114 | 54 | 86 | 8 | 6 | 2 | 51 |
323,055 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core._RecursiveTypeBase | from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
class _RecursiveTypeBase(_protocols.TypeProtocol, _display.PrettyPrintable, Hashable):
... |
class _RecursiveTypeBase(_protocols.TypeProtocol, _display.PrettyPrintable, Hashable):
'''Base for recursive types like Optional and Sequence.'''
def __init__(self, elem_type: _protocols.TypeProtocol, *, denotation: str | None=None) -> None:
pass
@property
def dtype(self) -> _enums.DataType:
... | 11 | 1 | 3 | 0 | 3 | 0 | 1 | 0.11 | 3 | 4 | 1 | 2 | 7 | 2 | 7 | 35 | 38 | 8 | 27 | 17 | 14 | 3 | 22 | 12 | 14 | 3 | 6 | 1 | 9 |
323,056 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_core.py | onnx_ir._core._TensorTypeBase | from collections.abc import Collection, Hashable, Iterable, Iterator, Mapping, MutableSequence, Sequence
from onnx_ir import _display, _enums, _graph_containers, _linked_list, _metadata, _name_authority, _protocols, _type_casting
class _TensorTypeBase(_protocols.TypeProtocol, _display.PrettyPrintable, Hashable):
"... |
class _TensorTypeBase(_protocols.TypeProtocol, _display.PrettyPrintable, Hashable):
'''Tensor types that are non recursive types.'''
def __init__(self, dtype: _enums.DataType, *, denotation: str | None=None) -> None:
pass
@property
def dtype(self) -> _enums.DataType:
pass
@dtype.se... | 11 | 2 | 3 | 0 | 3 | 0 | 1 | 0.17 | 3 | 4 | 1 | 2 | 7 | 2 | 7 | 35 | 34 | 8 | 23 | 15 | 12 | 4 | 20 | 12 | 12 | 2 | 6 | 1 | 8 |
323,057 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_display.py | onnx_ir._display.PrettyPrintable | class PrettyPrintable:
def display(self, *, page: bool=False) -> None:
"""Pretty print the object.
Args:
page: Whether to page the output.
"""
rich = require_rich()
text = str(self)
if rich is None:
print(text)
print(f"\n\n\x1b[36... | class PrettyPrintable:
def display(self, *, page: bool=False) -> None:
'''Pretty print the object.
Args:
page: Whether to page the output.
'''
pass | 2 | 1 | 25 | 4 | 16 | 5 | 3 | 0.29 | 0 | 2 | 0 | 12 | 1 | 0 | 1 | 1 | 26 | 4 | 17 | 6 | 14 | 5 | 14 | 6 | 11 | 3 | 0 | 2 | 3 |
323,058 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_enums.py | onnx_ir._enums.AttributeType | import enum
class AttributeType(enum.IntEnum):
"""Enum for the types of ONNX attributes."""
UNDEFINED = 0
FLOAT = 1
INT = 2
STRING = 3
TENSOR = 4
GRAPH = 5
FLOATS = 6
INTS = 7
STRINGS = 8
TENSORS = 9
GRAPHS = 10
SPARSE_TENSOR = 11
SPARSE_TENSORS = 12
TYPE_PRO... |
class AttributeType(enum.IntEnum):
'''Enum for the types of ONNX attributes.'''
def __repr__(self) -> str:
pass
def __str__(self) -> str:
pass | 3 | 1 | 2 | 0 | 2 | 0 | 1 | 0.05 | 1 | 1 | 0 | 0 | 2 | 0 | 2 | 57 | 24 | 3 | 20 | 18 | 17 | 1 | 20 | 18 | 17 | 1 | 3 | 0 | 2 |
323,059 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_enums.py | onnx_ir._enums.DataType | import enum
import ml_dtypes
from typing import Any
import numpy as np
class DataType(enum.IntEnum):
"""Enum for the data types of ONNX tensors, defined in ``onnx.TensorProto``."""
UNDEFINED = 0
FLOAT = 1
UINT8 = 2
INT8 = 3
UINT16 = 4
INT16 = 5
INT32 = 6
INT64 = 7
STRING = 8
... |
class DataType(enum.IntEnum):
'''Enum for the data types of ONNX tensors, defined in ``onnx.TensorProto``.'''
@classmethod
def from_numpy(cls, dtype: np.dtype) -> DataType:
'''Returns the ONNX data type for the numpy dtype.
Raises:
TypeError: If the data type is not supported by... | 33 | 19 | 12 | 1 | 8 | 3 | 2 | 0.33 | 1 | 4 | 0 | 0 | 10 | 0 | 12 | 67 | 188 | 25 | 123 | 42 | 106 | 40 | 79 | 38 | 66 | 12 | 3 | 2 | 27 |
323,060 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_graph_containers.py | onnx_ir._graph_containers.Attributes | import collections
from onnx_ir import _core, _protocols
from collections.abc import Iterable, Sequence
class Attributes(collections.UserDict[str, '_core.Attr']):
"""The attributes of a Node as ``dict[str, Attr]`` with additional access methods."""
def __init__(self, attrs: Iterable[_core.Attr]):
supe... |
class Attributes(collections.UserDict[str, '_core.Attr']):
'''The attributes of a Node as ``dict[str, Attr]`` with additional access methods.'''
def __init__(self, attrs: Iterable[_core.Attr]):
pass
def __setitem__(self, key: str, value: _core.Attr) -> None:
'''Set an attribute for the no... | 14 | 13 | 5 | 0 | 4 | 2 | 2 | 0.42 | 1 | 9 | 3 | 0 | 13 | 0 | 13 | 68 | 81 | 13 | 55 | 18 | 37 | 23 | 51 | 14 | 37 | 3 | 8 | 1 | 25 |
323,061 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_graph_containers.py | onnx_ir._graph_containers.GraphInitializers | import collections
from onnx_ir import _core, _protocols
class GraphInitializers(collections.UserDict[str, '_core.Value']):
"""The initializers of a Graph as ``dict[str, Value]`` with additional mutation methods."""
def __init__(self, graph: _core.Graph, dict=None, /, **kwargs):
data = {}
if d... |
class GraphInitializers(collections.UserDict[str, '_core.Value']):
'''The initializers of a Graph as ``dict[str, Value]`` with additional mutation methods.'''
def __init__(self, graph: _core.Graph, dict=None, /, **kwargs):
pass
def _set_graph(self, value: _core.Value) -> None:
'''Set the ... | 7 | 6 | 11 | 0 | 9 | 2 | 3 | 0.26 | 1 | 6 | 2 | 0 | 6 | 1 | 6 | 61 | 73 | 7 | 53 | 12 | 46 | 14 | 46 | 12 | 39 | 8 | 8 | 1 | 18 |
323,062 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_graph_containers.py | onnx_ir._graph_containers.GraphInputs | from onnx_ir import _core, _protocols
import onnx_ir
class GraphInputs(_GraphIO):
"""The inputs of a Graph."""
def _check_invariance(self) -> None:
"""Check the invariance of the graph."""
if not onnx_ir.DEBUG:
return
for value in self.data:
if value._graph is s... |
class GraphInputs(_GraphIO):
'''The inputs of a Graph.'''
def _check_invariance(self) -> None:
'''Check the invariance of the graph.'''
pass
def _set_graph(self, value: _core.Value) -> None:
'''Set the graph for the value.'''
pass
def _maybe_unset_graph(self, value: _... | 4 | 4 | 12 | 0 | 10 | 2 | 3 | 0.19 | 1 | 2 | 1 | 0 | 3 | 0 | 3 | 92 | 40 | 3 | 31 | 5 | 27 | 6 | 25 | 5 | 21 | 4 | 9 | 2 | 10 |
323,063 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_graph_containers.py | onnx_ir._graph_containers.GraphOutputs | from onnx_ir import _core, _protocols
import onnx_ir
class GraphOutputs(_GraphIO):
"""The outputs of a Graph."""
def _check_invariance(self) -> None:
"""Check the invariance of the graph."""
if not onnx_ir.DEBUG:
return
for value in self.data:
if value._graph is... |
class GraphOutputs(_GraphIO):
'''The outputs of a Graph.'''
def _check_invariance(self) -> None:
'''Check the invariance of the graph.'''
pass
def _set_graph(self, value: _core.Value) -> None:
'''Set the graph for the value.'''
pass
def _maybe_unset_graph(self, value:... | 4 | 4 | 10 | 0 | 9 | 2 | 3 | 0.22 | 1 | 2 | 1 | 0 | 3 | 0 | 3 | 92 | 36 | 3 | 27 | 5 | 23 | 6 | 23 | 5 | 19 | 4 | 9 | 2 | 9 |
323,064 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_graph_containers.py | onnx_ir._graph_containers._GraphIO | from onnx_ir import _core, _protocols
from typing import SupportsIndex, TypeVar
from collections.abc import Iterable, Sequence
import collections
class _GraphIO(collections.UserList['_core.Value']):
"""The inputs and outputs of a Graph."""
def __init__(self, graph: _core.Graph, initlist=None):
self._g... |
class _GraphIO(collections.UserList['_core.Value']):
'''The inputs and outputs of a Graph.'''
def __init__(self, graph: _core.Graph, initlist=None):
pass
def _check_invariance(self) -> None:
'''Check the invariance of the graph.'''
pass
def _set_graph(self, value: _core.Value... | 15 | 14 | 6 | 0 | 5 | 2 | 2 | 0.36 | 1 | 12 | 2 | 2 | 14 | 2 | 14 | 89 | 109 | 16 | 69 | 27 | 54 | 25 | 68 | 27 | 53 | 5 | 8 | 2 | 22 |
323,065 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_linked_list.py | onnx_ir._linked_list.DoublyLinkedSet | from collections.abc import Iterable, Iterator, Sequence
from typing import Generic, TypeVar, overload
class DoublyLinkedSet(Sequence[T], Generic[T]):
"""A doubly linked ordered set of nodes.
The container can be viewed as a set as it does not allow duplicate values. The order of the
elements is maintaine... |
class DoublyLinkedSet(Sequence[T], Generic[T]):
'''A doubly linked ordered set of nodes.
The container can be viewed as a set as it does not allow duplicate values. The order of the
elements is maintained. One can typically treat it as a doubly linked list with list-like
methods implemented.
Adding... | 18 | 10 | 12 | 1 | 8 | 3 | 2 | 0.59 | 2 | 14 | 1 | 0 | 15 | 3 | 15 | 52 | 217 | 32 | 117 | 60 | 82 | 69 | 93 | 35 | 77 | 6 | 6 | 2 | 35 |
323,066 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_linked_list.py | onnx_ir._linked_list._LinkBox | from typing import Generic, TypeVar, overload
class _LinkBox(Generic[T]):
"""A link in a doubly linked list that has a reference to the actual object in the link.
The :class:`_LinkBox` is a container for the actual object in the list. It is used to
maintain the links between the elements in the linked lis... |
class _LinkBox(Generic[T]):
'''A link in a doubly linked list that has a reference to the actual object in the link.
The :class:`_LinkBox` is a container for the actual object in the list. It is used to
maintain the links between the elements in the linked list. The actual object is stored in the
:attr... | 6 | 3 | 7 | 0 | 4 | 3 | 1 | 1.39 | 1 | 4 | 1 | 0 | 4 | 4 | 4 | 6 | 53 | 10 | 18 | 12 | 12 | 25 | 17 | 11 | 12 | 2 | 1 | 1 | 5 |
323,067 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_metadata.py | onnx_ir._metadata.MetadataStore | from collections.abc import Mapping
import collections
from typing import Any
class MetadataStore(collections.UserDict):
"""Class for storing metadata about the IR objects.
Metadata is stored as key-value pairs. The keys are strings and the values
can be any Python object.
The metadata store also sup... |
class MetadataStore(collections.UserDict):
'''Class for storing metadata about the IR objects.
Metadata is stored as key-value pairs. The keys are strings and the values
can be any Python object.
The metadata store also supports marking keys as invalid. This is useful
when a pass wants to mark a ke... | 6 | 2 | 4 | 0 | 2 | 1 | 1 | 0.92 | 1 | 5 | 0 | 0 | 5 | 1 | 5 | 60 | 34 | 9 | 13 | 7 | 7 | 12 | 13 | 7 | 7 | 1 | 8 | 0 | 5 |
323,068 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_name_authority.py | onnx_ir._name_authority.NameAuthority | from onnx_ir import _core
class NameAuthority:
"""Class for giving names to values and nodes in the IR.
The names are generated in the format ``val_{value_counter}`` for values and
``node_{op_type}_{node_counter}`` for nodes. The counter is incremented each time
a new value or node is named.
This... |
class NameAuthority:
'''Class for giving names to values and nodes in the IR.
The names are generated in the format ``val_{value_counter}`` for values and
``node_{op_type}_{node_counter}`` for nodes. The counter is incremented each time
a new value or node is named.
This class keeps tracks of the n... | 6 | 3 | 7 | 0 | 5 | 2 | 2 | 1.04 | 0 | 4 | 2 | 0 | 5 | 4 | 5 | 5 | 63 | 10 | 26 | 12 | 20 | 27 | 26 | 12 | 20 | 3 | 0 | 2 | 11 |
323,069 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.ArrayCompatible | from typing import Any, Literal, Protocol
import typing
@typing.runtime_checkable
class ArrayCompatible(Protocol):
"""Protocol for array-like objects.
An example of an array-like object is a numpy ndarray or a PyTorch Tensor.
Read more at https://numpy.org/devdocs/user/basics.interoperability.html
"""... | @typing.runtime_checkable
class ArrayCompatible(Protocol):
'''Protocol for array-like objects.
An example of an array-like object is a numpy ndarray or a PyTorch Tensor.
Read more at https://numpy.org/devdocs/user/basics.interoperability.html
'''
def __array__(self, dtype: Any) -> np.ndarray:
... | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 2 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 25 | 8 | 2 | 2 | 2 | 1 | 4 | 3 | 2 | 1 | 1 | 5 | 0 | 1 |
323,070 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.AttributeProtocol | import typing
from onnx_ir import _enums
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class AttributeProtocol(Protocol):
"""Protocol for ONNX attributes.
Attributes:
name: The name of the attribute.
type: The type of the attribute.
value: The value of the attribu... | @typing.runtime_checkable
class AttributeProtocol(Protocol):
'''Protocol for ONNX attributes.
Attributes:
name: The name of the attribute.
type: The type of the attribute.
value: The value of the attribute.
doc_string: Documentation string.
'''
def is_ref(self) -> Litera... | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 1.17 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 25 | 16 | 3 | 6 | 2 | 5 | 7 | 7 | 2 | 5 | 1 | 5 | 0 | 1 |
323,071 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.DLPackCompatible | import typing
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class DLPackCompatible(Protocol):
"""Protocol for objects that can support dlpack.
Computation backends can call __dlpack__ to obtain the underlying data in a
tensor without copying the data. This allows use to use tensorflo... | @typing.runtime_checkable
class DLPackCompatible(Protocol):
'''Protocol for objects that can support dlpack.
Computation backends can call __dlpack__ to obtain the underlying data in a
tensor without copying the data. This allows use to use tensorflow tensors etc.
without copying the data.
'''
... | 4 | 3 | 3 | 0 | 2 | 1 | 1 | 1.4 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 26 | 15 | 3 | 5 | 3 | 2 | 7 | 5 | 3 | 2 | 1 | 5 | 0 | 2 |
323,072 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.FunctionProtocol | from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
import typing
from typing import Any, Literal, Protocol
from collections import OrderedDict
@typing.runtime_checkable
class FunctionProtocol(Protocol):
"""Protocol for ONNX functions.
Like a graph, a... | @typing.runtime_checkable
class FunctionProtocol(Protocol):
'''Protocol for ONNX functions.
Like a graph, a function can have nodes that are not topologically sorted. It is
the responsibility of the user to maintain a topological order of the nodes.
Note that there is not a ``node`` attribute in the Fun... | 13 | 8 | 3 | 0 | 2 | 1 | 1 | 0.82 | 1 | 4 | 1 | 1 | 11 | 0 | 11 | 35 | 71 | 11 | 33 | 16 | 21 | 27 | 33 | 12 | 21 | 1 | 5 | 0 | 11 |
323,073 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.GraphProtocol | import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class GraphProtocol(Protocol):
"""Protocol for graphs.
Graph represents a computation graph. In addition to the ONNX ... | @typing.runtime_checkable
class GraphProtocol(Protocol):
'''Protocol for graphs.
Graph represents a computation graph. In addition to the ONNX specification
specified fields, it also contains a mapping of :attr:`opset_imports`. This
allows different subgraphs to import different opsets. It is the respon... | 12 | 7 | 3 | 0 | 2 | 1 | 1 | 1.1 | 1 | 4 | 1 | 1 | 10 | 0 | 10 | 34 | 74 | 13 | 29 | 15 | 18 | 32 | 29 | 11 | 18 | 1 | 5 | 0 | 10 |
323,074 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.GraphViewProtocol | from typing import Any, Literal, Protocol
import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
@typing.runtime_checkable
class GraphViewProtocol(Protocol):
"""Protocol for a read-only view on a graph.
The GraphView is useful for analysis ... | @typing.runtime_checkable
class GraphViewProtocol(Protocol):
'''Protocol for a read-only view on a graph.
The GraphView is useful for analysis of a subgraph. It can be initialized
with a subset of nodes from a :class:`Graph`. Creating GraphView does not
change the ownership of the nodes, and so it is po... | 6 | 1 | 1 | 0 | 1 | 0 | 1 | 1.15 | 1 | 3 | 1 | 0 | 4 | 0 | 4 | 28 | 32 | 4 | 13 | 5 | 12 | 15 | 17 | 5 | 12 | 1 | 5 | 0 | 4 |
323,075 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.MapTypeProtocol | import typing
from typing import Any, Literal, Protocol
from onnx_ir import _enums
@typing.runtime_checkable
class MapTypeProtocol(Protocol):
"""Protocol for ONNX map types.
TODO: This protocol is not yet implemented in the ONNX IR.
"""
key_type: typing.Literal[_enums.DataType.STRING, _enums.DataType.... | @typing.runtime_checkable
class MapTypeProtocol(Protocol):
'''Protocol for ONNX map types.
TODO: This protocol is not yet implemented in the ONNX IR.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0.23 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 18 | 2 | 13 | 1 | 12 | 3 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
323,076 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.ModelProtocol | import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class ModelProtocol(Protocol):
"""Protocol for models.
A model is a container for a graph and metadata. It is the top... | @typing.runtime_checkable
class ModelProtocol(Protocol):
'''Protocol for models.
A model is a container for a graph and metadata. It is the top-level object
that represents an ONNX model.
Attributes:
graph: The graph of the model.
ir_version: The version of the IR.
producer_name:... | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.33 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 31 | 3 | 12 | 1 | 11 | 16 | 12 | 1 | 11 | 0 | 5 | 0 | 0 |
323,077 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.NodeProtocol | from typing import Any, Literal, Protocol
import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
from collections import OrderedDict
@typing.runtime_checkable
class NodeProtocol(Protocol):
"""Protocol for nodes.
A node represents an invocat... | @typing.runtime_checkable
class NodeProtocol(Protocol):
'''Protocol for nodes.
A node represents an invocation of an operation on the :class:`Value` s in
the computational graph.
A node can be optionally named. A name should typically be assigned when the
node is added to a graph.
:attr:`domain`... | 3 | 2 | 3 | 0 | 2 | 1 | 1 | 2.29 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 25 | 55 | 9 | 14 | 2 | 12 | 32 | 14 | 2 | 12 | 1 | 5 | 0 | 1 |
323,078 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.ReferenceAttributeProtocol | from onnx_ir import _enums
import typing
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class ReferenceAttributeProtocol(Protocol):
"""Protocol for a reference attribute.
A reference attribute can only appear inside the definition body of a function.
Attributes:
name: The nam... | @typing.runtime_checkable
class ReferenceAttributeProtocol(Protocol):
'''Protocol for a reference attribute.
A reference attribute can only appear inside the definition body of a function.
Attributes:
name: The name of the attribute.
ref_attr_name: The name of the attribute definition this a... | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 1.33 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 25 | 18 | 4 | 6 | 2 | 5 | 8 | 7 | 2 | 5 | 1 | 5 | 0 | 1 |
323,079 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.ShapeProtocol | from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
import typing
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class ShapeProtocol(Protocol):
"""Protocol for ONNX shapes.
A shape is a sequence of dimensions.
Attributes:
... | @typing.runtime_checkable
class ShapeProtocol(Protocol):
'''Protocol for ONNX shapes.
A shape is a sequence of dimensions.
Attributes:
dims: The dimensions of the shape.
'''
def __len__(self) -> int:
pass
def __iter__(self) -> Iterator[int | SymbolicDimProtocol]:
pass
... | 15 | 1 | 1 | 0 | 1 | 0 | 1 | 0.29 | 1 | 8 | 1 | 1 | 11 | 0 | 11 | 35 | 26 | 4 | 17 | 16 | 12 | 5 | 24 | 12 | 12 | 1 | 5 | 0 | 11 |
323,080 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.SparseTensorProtocol | from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
import typing
from typing import Any, Literal, Protocol
@typing.runtime_checkable
class SparseTensorProtocol(Protocol):
values: TensorProtocol
indices: TensorProtocol
dims: Sequence[int] | @typing.runtime_checkable
class SparseTensorProtocol(Protocol):
pass | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
323,081 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.SymbolicDimProtocol | from typing import Any, Literal, Protocol
import typing
@typing.runtime_checkable
class SymbolicDimProtocol(Protocol):
"""Value of a single symbolic/dynamic dimension in a shape.
Attributes:
value: The value of the dimension.
"""
value: str | None | @typing.runtime_checkable
class SymbolicDimProtocol(Protocol):
'''Value of a single symbolic/dynamic dimension in a shape.
Attributes:
value: The value of the dimension.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2.5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 8 | 2 | 2 | 1 | 1 | 5 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
323,082 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.TensorProtocol | from typing import Any, Literal, Protocol
from onnx_ir import _enums
import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
@typing.runtime_checkable
class TensorProtocol(ArrayCompatible, DLPackCompatible, Protocol):
"""Concrete tensor backed by... | @typing.runtime_checkable
class TensorProtocol(ArrayCompatible, DLPackCompatible, Protocol):
'''Concrete tensor backed by data.
The protocol does not specify how the data is stored. That data is exposed
through the :attr:`raw` attribute for examination, but accessing :attr:`raw`
is typically not needed.... | 11 | 6 | 2 | 0 | 2 | 1 | 1 | 1.14 | 3 | 3 | 0 | 7 | 7 | 0 | 7 | 34 | 59 | 12 | 22 | 10 | 14 | 25 | 22 | 8 | 14 | 1 | 6 | 0 | 7 |
323,083 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.TypeProtocol | from onnx_ir import _enums
from typing import Any, Literal, Protocol
import typing
@typing.runtime_checkable
class TypeProtocol(Protocol):
"""Protocol for ONNX tensors, Sequence tensors, Optional tensors and Sparse tensors.
These three types of tensors share the same attribute "elem_type" so they are
merg... | @typing.runtime_checkable
class TypeProtocol(Protocol):
'''Protocol for ONNX tensors, Sequence tensors, Optional tensors and Sparse tensors.
These three types of tensors share the same attribute "elem_type" so they are
merged in the same interface. Unlike the ONNX TensorProto, shapes are not included
in... | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 2.8 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 25 | 23 | 4 | 5 | 2 | 4 | 14 | 6 | 2 | 4 | 1 | 5 | 0 | 1 |
323,084 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_protocols.py | onnx_ir._protocols.ValueProtocol | from typing import Any, Literal, Protocol
import typing
from collections.abc import Collection, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, Sequence
@typing.runtime_checkable
class ValueProtocol(Protocol):
"""Protocol for values.
A value is a named entity that can be used to represent an inp... | @typing.runtime_checkable
class ValueProtocol(Protocol):
'''Protocol for values.
A value is a named entity that can be used to represent an input or output of a graph,
a function, or a node. The information it stores generalizes over ``ValueInfoProto``
in the ONNX specification.
A :class:`Value` is ... | 6 | 5 | 3 | 0 | 2 | 1 | 1 | 1.63 | 1 | 5 | 1 | 1 | 4 | 0 | 4 | 28 | 53 | 11 | 16 | 5 | 11 | 26 | 16 | 5 | 11 | 1 | 5 | 0 | 4 |
323,085 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_tape.py | onnx_ir._tape.Builder | from typing import Any, Optional
import onnx_ir as ir
from collections.abc import Mapping, Sequence
class Builder(Tape):
"""An extension of the tape that provides a more convenient API for constructing the IR."""
def __getattr__(self, op_type: str) -> Any:
return lambda *args, **kwargs: self._make_nod... |
class Builder(Tape):
'''An extension of the tape that provides a more convenient API for constructing the IR.'''
def __getattr__(self, op_type: str) -> Any:
pass
def _make_node(self, op_type: str, inputs: Sequence[ir.Value], kwargs: dict[str, Any]):
pass | 3 | 1 | 16 | 1 | 15 | 0 | 4 | 0.03 | 1 | 8 | 1 | 0 | 2 | 0 | 2 | 10 | 35 | 3 | 31 | 10 | 28 | 1 | 21 | 10 | 18 | 6 | 1 | 2 | 7 |
323,086 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/_tape.py | onnx_ir._tape.Tape | from typing import Any, Optional
from onnx_ir import _convenience
from collections.abc import Mapping, Sequence
import onnx_ir as ir
class Tape:
"""Tape class.
A tape is a recorder that collects nodes and initializers that are created so
that they can be used for creating a graph.
Example::
... |
class Tape:
'''Tape class.
A tape is a recorder that collects nodes and initializers that are created so
that they can be used for creating a graph.
Example::
import onnx_ir as ir
tape = ir.tape.Tape()
a = tape.initializer(ir.tensor([1, 2, 3], name="a"))
b: ir.Value = ..... | 12 | 1 | 14 | 0 | 14 | 0 | 2 | 0.23 | 0 | 18 | 8 | 1 | 8 | 4 | 8 | 8 | 155 | 15 | 114 | 51 | 73 | 26 | 52 | 19 | 43 | 5 | 0 | 1 | 17 |
323,087 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/external_data.py | onnx_ir.external_data.CallbackInfo | import dataclasses
@dataclasses.dataclass
class CallbackInfo:
"""A class that shares information about a tensor that is to be saved as external data for callback functions.
Attributes:
total: The total number of tensors to save.
index: The index of the tensor being saved.
offset: The o... | null | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 2 | 4 | 1 | 3 | 6 | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
323,088 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/external_data.py | onnx_ir.external_data._ExternalDataInfo | import dataclasses
@dataclasses.dataclass
class _ExternalDataInfo:
"""A class that stores information about a tensor that is to be stored as external data.
Attributes:
name: The name of the tensor that is to be stored as external data.
offset: The offset is used to determine where exactly in t... | null | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 2 | 4 | 1 | 3 | 6 | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
323,089 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.FunctionalPass | from typing import Literal, final
class FunctionalPass(PassBase):
"""A pass that returns a new model but does not modify the input model."""
@property
@final
def in_place(self) -> Literal[False]:
"""A functional pass is not in place."""
return False
@property
@final
def ch... | null | 7 | 3 | 3 | 0 | 2 | 1 | 1 | 0.33 | 1 | 0 | 0 | 1 | 2 | 0 | 2 | 29 | 14 | 2 | 9 | 5 | 2 | 3 | 5 | 3 | 2 | 1 | 5 | 0 | 2 |
323,090 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.InPlacePass | from typing import Literal, final
class InPlacePass(PassBase):
"""A pass that modifies the input model in place and returns it."""
@property
@final
def in_place(self) -> Literal[True]:
"""An in-place pass is in place."""
return True
@property
@final
def changes_input(self)... | null | 7 | 3 | 3 | 0 | 2 | 1 | 1 | 0.33 | 1 | 0 | 0 | 17 | 2 | 0 | 2 | 29 | 14 | 2 | 9 | 5 | 2 | 3 | 5 | 3 | 2 | 1 | 5 | 0 | 2 |
323,091 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.InvariantError | class InvariantError(Exception):
"""Raised when an invariant is violated.""" | class InvariantError(Exception):
'''Raised when an invariant is violated.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 0 |
323,092 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PassBase | import abc
import onnx_ir as ir
class PassBase(abc.ABC):
"""Base class for all passes.
``in_place`` and ``changes_input`` properties and what they mean:
+------------+------------------+----------------------------+
| | changes_inputs | not changes_inputs |
+------------+----... | null | 14 | 7 | 11 | 1 | 7 | 3 | 2 | 0.53 | 1 | 9 | 5 | 8 | 7 | 0 | 7 | 27 | 105 | 17 | 59 | 15 | 45 | 31 | 37 | 10 | 29 | 9 | 4 | 1 | 15 |
323,093 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PassError | class PassError(RuntimeError):
"""Raised when an error occurs during a pass.""" | class PassError(RuntimeError):
'''Raised when an error occurs during a pass.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 0 | 0 |
323,094 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PassManager | import onnx_ir as ir
from collections.abc import Sequence
class PassManager(Sequential):
"""Pass manager for the IR.
The PassManager is a Pass that runs a sequence of passes on a model.
Attributes:
passes: The passes to run.
steps: The number of times to run the passes.
early_stop... | null | 3 | 2 | 14 | 0 | 12 | 2 | 3 | 0.46 | 1 | 9 | 3 | 0 | 2 | 2 | 2 | 33 | 39 | 4 | 24 | 15 | 16 | 11 | 19 | 9 | 16 | 4 | 6 | 2 | 5 |
323,095 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PassResult | import dataclasses
import onnx_ir as ir
@dataclasses.dataclass
class PassResult:
"""Result of a pass.
Attributes:
model: The transformed model.
modified: Whether the resulting model is different from the input model.
"""
model: ir.Model
modified: bool | @dataclasses.dataclass
class PassResult:
'''Result of a pass.
Attributes:
model: The transformed model.
modified: Whether the resulting model is different from the input model.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.67 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 10 | 2 | 3 | 1 | 2 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 |
323,096 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PostconditionError | class PostconditionError(InvariantError):
"""Raised when a postcondition is violated.""" | class PostconditionError(InvariantError):
'''Raised when a postcondition is violated.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 0 | 0 |
323,097 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.PreconditionError | class PreconditionError(InvariantError):
"""Raised when a precondition is violated.""" | class PreconditionError(InvariantError):
'''Raised when a precondition is violated.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 0 | 0 |
323,098 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/_pass_infra.py | onnx_ir.passes._pass_infra.Sequential | import onnx_ir as ir
class Sequential(PassBase):
"""Run a sequence of passes in order."""
def __init__(self, *passes: PassBase):
if not passes:
raise ValueError('Sequential must take at least one pass')
self.passes = passes
self._in_place = all((pass_.in_place for pass_ in ... | null | 7 | 1 | 8 | 1 | 6 | 1 | 2 | 0.14 | 1 | 8 | 3 | 1 | 4 | 3 | 4 | 31 | 38 | 6 | 28 | 15 | 21 | 4 | 23 | 12 | 18 | 3 | 5 | 2 | 7 |
323,099 | onnx/ir-py | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/onnx_ir-py/src/onnx_ir/passes/common/clear_metadata_and_docstring.py | onnx_ir.passes.common.clear_metadata_and_docstring.ClearMetadataAndDocStringPass | import onnx_ir as ir
class ClearMetadataAndDocStringPass(ir.passes.InPlacePass):
"""Clear all metadata and docstring from the model, graphs, nodes, and functions."""
def call(self, model: ir.Model) -> ir.passes.PassResult:
modified = self._clear_graph_or_function_metadata_and_docstring(model.graph)
... | null | 3 | 2 | 20 | 2 | 15 | 4 | 3 | 0.27 | 1 | 7 | 5 | 0 | 2 | 0 | 2 | 31 | 43 | 5 | 30 | 11 | 24 | 8 | 23 | 8 | 20 | 4 | 6 | 2 | 6 |
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