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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
326,900 | circuit-synth/circuit-synth | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/circuit-synth_circuit-synth/src/circuit_synth/ai_integration/agents/debugging_agent.py | debugging_agent.CircuitDebuggingAgent | from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
import json
from datetime import datetime
class CircuitDebuggingAgent:
"""
Advanced debugging agent with comprehensive knowledge base integration
and KiCad-to-Python conversion capability
"""
def __init__(self):
"... |
class CircuitDebuggingAgent:
'''
Advanced debugging agent with comprehensive knowledge base integration
and KiCad-to-Python conversion capability
'''
def __init__(self):
'''Initialize the debugging agent with knowledge bases'''
pass
def _load_knowledge(self, filename: str) -> ... | 13 | 13 | 45 | 7 | 31 | 7 | 7 | 0.24 | 0 | 9 | 0 | 0 | 12 | 7 | 12 | 12 | 552 | 90 | 375 | 99 | 346 | 90 | 212 | 81 | 197 | 17 | 0 | 6 | 81 |
326,901 | circuit-synth/circuit-synth | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/circuit-synth_circuit-synth/src/circuit_synth/data/tools/update_examples_with_stock.py | update_examples_with_stock.ExampleUpdater | import re
from circuit_synth.manufacturing.jlcpcb.jlc_web_scraper import JlcWebScraper
from typing import Dict, List, Optional, Tuple
from pathlib import Path
class ExampleUpdater:
"""Updates circuit examples with current component availability."""
def __init__(self):
self.jlc_scraper = JlcWebScraper(... |
class ExampleUpdater:
'''Updates circuit examples with current component availability.'''
def __init__(self):
pass
def find_best_stm32_match(self, family: str='STM32G0', min_stock: int=100) -> Optional[Dict]:
'''
Find the best STM32 match based on our selection criteria.
A... | 10 | 9 | 37 | 6 | 23 | 9 | 5 | 0.39 | 0 | 9 | 1 | 0 | 9 | 2 | 9 | 9 | 346 | 65 | 210 | 66 | 196 | 82 | 151 | 60 | 141 | 12 | 0 | 4 | 46 |
326,902 | circuit-synth/circuit-synth | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/circuit-synth_circuit-synth/tools/maintenance/update_examples_with_stock.py | update_examples_with_stock.ExampleUpdater | from typing import Dict, List, Optional, Tuple
from circuit_synth.manufacturing.jlcpcb.jlc_web_scraper import JlcWebScraper
from pathlib import Path
import re
class ExampleUpdater:
"""Updates circuit examples with current component availability."""
def __init__(self):
self.jlc_scraper = JlcWebScraper(... |
class ExampleUpdater:
'''Updates circuit examples with current component availability.'''
def __init__(self):
pass
def find_best_stm32_match(self, family: str='STM32G0', min_stock: int=100) -> Optional[Dict]:
'''
Find the best STM32 match based on our selection criteria.
A... | 10 | 9 | 37 | 6 | 23 | 9 | 5 | 0.39 | 0 | 9 | 1 | 0 | 9 | 2 | 9 | 9 | 345 | 65 | 209 | 70 | 191 | 82 | 151 | 60 | 141 | 12 | 0 | 4 | 46 |
326,903 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/data/envdataset/data.py | src.annflux.data.envdataset.data.DataSource | import shutil
from os import PathLike
import os.path
import requests
from io import BytesIO
import zipfile
class DataSource:
url = None
name = None
hash = None
def __init__(self):
self.out_folder = os.path.expanduser(f'~/annflux/datasources/{self.name}')
print(self.out_folder)
... |
class DataSource:
def __init__(self):
pass
def download(self):
pass
@property
def folder(self):
pass
def copy_to(self, folder: str | PathLike):
pass | 6 | 0 | 5 | 0 | 5 | 0 | 2 | 0.04 | 0 | 3 | 0 | 1 | 4 | 1 | 4 | 4 | 28 | 5 | 23 | 11 | 17 | 1 | 22 | 10 | 17 | 2 | 0 | 1 | 6 |
326,904 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/data/envdataset/data.py | src.annflux.data.envdataset.data.EnvDataset | import os.path
class EnvDataset(DataSource):
url = None
name = None
out_folder = os.getenv('USER_DATASET_PATH')
true_labels_path = os.path.join(out_folder, 'true_labels.json')
def __init__(self):
pass |
class EnvDataset(DataSource):
def __init__(self):
pass | 2 | 0 | 2 | 0 | 2 | 1 | 1 | 0.14 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 8 | 1 | 7 | 6 | 5 | 1 | 7 | 6 | 5 | 1 | 1 | 0 | 1 |
326,905 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/dataset.py | src.annflux.repository.dataset.Dataset | import hashlib
from annflux.repository.repository import RepositoryObject, Repository
from typing import List, Dict
import pandas
import os
import shutil
class Dataset(RepositoryObject):
label = 'dataset'
def __init__(self, h5path_or_entry, taxon_mapping_path=None):
if isinstance(h5path_or_entry, str)... |
class Dataset(RepositoryObject):
def __init__(self, h5path_or_entry, taxon_mapping_path=None):
pass
@property
def uid(self):
pass
def get_uid(self):
pass
def store_contents(self, directory, mode):
pass
def as_dataframe(self) -> pandas.DataFrame:
'''
... | 18 | 2 | 7 | 0 | 6 | 1 | 2 | 0.08 | 1 | 8 | 1 | 0 | 11 | 5 | 11 | 15 | 95 | 14 | 75 | 32 | 57 | 6 | 48 | 25 | 36 | 4 | 2 | 2 | 18 |
326,906 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/model.py | src.annflux.repository.model.ClipModel | import os
from .repository import Repository, RepositoryEntry
from ..tools.io import file_hash
import shutil
class ClipModel(Model):
def __init__(self, path_or_entry: RepositoryEntry | str, class_to_label_path=None):
super().__init__(path_or_entry, class_to_label_path)
if isinstance(path_or_entry,... |
class ClipModel(Model):
def __init__(self, path_or_entry: RepositoryEntry | str, class_to_label_path=None):
pass
@property
def size(self) -> int:
pass
def get_uid(self):
pass
def store_contents(self, directory, mode):
pass
def export_model_package(self, out_f... | 7 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 4 | 1 | 0 | 5 | 2 | 5 | 11 | 27 | 5 | 22 | 9 | 15 | 0 | 18 | 8 | 12 | 2 | 2 | 1 | 6 |
326,907 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/model.py | src.annflux.repository.model.KerasModel | from ..tools.io import file_hash
import os
import json
from .repository import Repository, RepositoryEntry
import shutil
class KerasModel(Model):
def __init__(self, model_folder_path_or_entry: (str, RepositoryEntry), path_or_entry, classid_to_class_path=None, model_configuration_path=None):
"""
A ... |
class KerasModel(Model):
def __init__(self, model_folder_path_or_entry: (str, RepositoryEntry), path_or_entry, classid_to_class_path=None, model_configuration_path=None):
'''
A multiclass classification model which can be stored in a Repository
:param model_folder_path_or_entry: model fold... | 7 | 1 | 17 | 1 | 15 | 1 | 3 | 0.09 | 1 | 4 | 1 | 0 | 5 | 8 | 5 | 11 | 92 | 11 | 75 | 23 | 62 | 7 | 46 | 16 | 40 | 11 | 2 | 3 | 17 |
326,908 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/model.py | src.annflux.repository.model.Model | from abc import abstractmethod
import os
from .repository import Repository, RepositoryEntry
from .dataset import Dataset
class Model(object):
label = 'model'
def __init__(self, path_or_entry, class_to_label_path=None):
"""
:type path_or_entry: RepositoryEntry
:param path_or_entry:
... |
class Model(object):
def __init__(self, path_or_entry, class_to_label_path=None):
'''
:type path_or_entry: RepositoryEntry
:param path_or_entry:
:param class_to_label_path:
'''
pass
@property
def size(self) -> int:
pass
@property
def model(se... | 12 | 1 | 4 | 0 | 3 | 1 | 1 | 0.23 | 1 | 4 | 2 | 2 | 6 | 4 | 6 | 6 | 38 | 7 | 26 | 17 | 14 | 6 | 20 | 12 | 13 | 2 | 1 | 1 | 7 |
326,909 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/repository.py | src.annflux.repository.repository.CollectionWrapper | class CollectionWrapper(list):
"""
Adds first and last methods to standard lists
"""
def last(self, position=1):
return self[-position] if len(self) > 0 else None
def first(self):
return self[0] if len(self) > 0 else None | class CollectionWrapper(list):
'''
Adds first and last methods to standard lists
'''
def last(self, position=1):
pass
def first(self):
pass | 3 | 1 | 2 | 0 | 2 | 0 | 2 | 0.6 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 35 | 10 | 2 | 5 | 3 | 2 | 3 | 5 | 3 | 2 | 2 | 2 | 0 | 4 |
326,910 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/repository.py | src.annflux.repository.repository.Repository | import pandas
from annflux.tools.io import create_directory
import os
import datetime
from typing import Any
class Repository(object):
headers = ['uid', 'type', 'ancestors', 'date', 'tag', 'message']
def __init__(self, path, date_filter=0):
"""
Create a new Repository
:param path: open... |
class Repository(object):
def __init__(self, path, date_filter=0):
'''
Create a new Repository
:param path: open or create Repository at path
:param date_filter: experimental, obsolete
'''
pass
@staticmethod
def entry_to_path(entry: RepositoryEntry):
... | 18 | 3 | 19 | 1 | 15 | 3 | 4 | 0.2 | 1 | 12 | 3 | 0 | 8 | 3 | 10 | 10 | 205 | 20 | 156 | 49 | 130 | 31 | 87 | 34 | 76 | 13 | 1 | 4 | 35 |
326,911 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/repository.py | src.annflux.repository.repository.RepositoryEntry | import os
class RepositoryEntry(object):
def __init__(self, row, repository):
self.row = row
self.repository_ = repository
@property
def path(self):
return os.path.join(self.repository_.path, Repository.entry_to_path(self.row))
@property
def uid(self):
return self... |
class RepositoryEntry(object):
def __init__(self, row, repository):
pass
@property
def path(self):
pass
@property
def uid(self):
pass
@property
def label(self):
pass
@property
def tag(self):
pass
@property
def date(self):
pass... | 19 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 10 | 2 | 10 | 10 | 39 | 9 | 30 | 21 | 11 | 0 | 22 | 13 | 11 | 1 | 1 | 0 | 10 |
326,912 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/repository.py | src.annflux.repository.repository.RepositoryObject | import os
from json import JSONDecodeError
import json
class RepositoryObject(object):
def __init__(self, name_value_cache_path):
self.name_value_cache_path = name_value_cache_path
def update_name_value_cache(self, name, value):
"""
Writes name, value pairs to a basic_stats file
... |
class RepositoryObject(object):
def __init__(self, name_value_cache_path):
pass
def update_name_value_cache(self, name, value):
'''
Writes name, value pairs to a basic_stats file
:param name:
:param value:
:return:
'''
pass
def get_cached_v... | 5 | 1 | 9 | 1 | 7 | 2 | 2 | 0.22 | 1 | 1 | 0 | 2 | 4 | 1 | 4 | 4 | 39 | 6 | 27 | 10 | 22 | 6 | 23 | 9 | 18 | 4 | 1 | 2 | 9 |
326,913 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/repository/resultset.py | src.annflux.repository.resultset.Resultset | import shutil
from annflux.repository.dataset import Dataset
import hashlib
from annflux.repository.model import Model
import os
import pandas
from annflux.repository.repository import Repository, RepositoryObject
from annflux.tools.io import create_directory, split_template
class Resultset(RepositoryObject):
labe... |
class Resultset(RepositoryObject):
def __init__(self, path_or_entry):
'''
If path_or_entry is a path then path should point to a results directory
:param path_or_entry:
'''
pass
def get_uid(self):
'''
Gets an UID for the Resultset based on its contents
... | 16 | 5 | 13 | 1 | 9 | 2 | 2 | 0.23 | 1 | 6 | 3 | 0 | 11 | 10 | 11 | 15 | 159 | 24 | 110 | 47 | 92 | 25 | 77 | 40 | 65 | 4 | 2 | 1 | 20 |
326,914 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/shared.py | src.annflux.shared.AnnfluxSource | from annflux.repository.repository import Repository
from os import PathLike
import os
from annflux.repository.dataset import Dataset
from typing import Union
from pathlib import Path
class AnnfluxSource(object):
start_labels = []
exclusivity = []
id_column = 'image_id'
data_path_ = None
images_pat... |
class AnnfluxSource(object):
def __init__(self, folder: Union[PathLike, str]=None):
pass
@property
def data_path(self):
pass
@property
def images_path(self):
pass
@property
def working_folder(self):
pass
@property
def labels_path(self):
pass
... | 18 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 5 | 2 | 0 | 9 | 0 | 9 | 9 | 59 | 9 | 50 | 25 | 32 | 0 | 30 | 17 | 20 | 2 | 1 | 1 | 13 |
326,915 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/tools/core.py | src.annflux.tools.core.AnnFluxState | from pathlib import Path
import numpy as np
from numpy._typing import NDArray
import time
class AnnFluxState(object):
"""
Stores the core state of the AnnFlux state
"""
def __init__(self, working_folder):
super().__init__()
self.time_new_status_time = None
self.working_folder_ ... |
class AnnFluxState(object):
'''
Stores the core state of the AnnFlux state
'''
def __init__(self, working_folder):
pass
@property
def data_folder(self) -> str:
pass
@property
def working_folder(self) -> str:
pass
@property
def timings_path(self) -> str:
... | 14 | 1 | 4 | 0 | 4 | 0 | 2 | 0.05 | 1 | 3 | 0 | 0 | 6 | 2 | 7 | 7 | 70 | 7 | 60 | 40 | 46 | 3 | 46 | 33 | 38 | 5 | 1 | 1 | 11 |
326,916 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/clip.py | src.annflux.training.annflux.clip.ClipFeatureExtractor | from torch.utils.data import DataLoader
from annflux.training.annflux.clip_shared import test, Image_dataset
from sklearn.model_selection import train_test_split
from openvino.runtime import properties
from annflux.tools.mixed import get_basic_logger
from PIL import Image
from sklearn.metrics import accuracy_score
from... |
class ClipFeatureExtractor(BaseFeatureExtractor, PeftTrainableMixin, OpenVinoMixin):
def __init__(self):
pass
def convert_model(self):
pass
def load_model(self):
pass
def compute_features(self, dataset: Dataset, multi=False, batch_size=32) -> np.array:
pass
def ... | 9 | 1 | 35 | 4 | 29 | 3 | 3 | 0.09 | 3 | 13 | 3 | 0 | 6 | 5 | 6 | 30 | 269 | 39 | 217 | 67 | 199 | 20 | 123 | 59 | 113 | 6 | 5 | 5 | 20 |
326,917 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/clip_server.py | src.annflux.training.annflux.clip_server.ClipServer | import json
from clip_shared import test, Image_dataset
import numpy as np
import os
from torch.utils.data import DataLoader
import pandas
import torch
from transformers import CLIPModel, CLIPProcessor
class ClipServer(object):
def __init__(self, folder):
self.folder = folder
self.labels_path = os... |
class ClipServer(object):
def __init__(self, folder):
pass
def load_model(self):
pass
def predict(self, file_path):
pass
def test_batch_builder(samples):
pass | 5 | 0 | 16 | 2 | 14 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 3 | 6 | 3 | 3 | 56 | 9 | 47 | 20 | 42 | 0 | 26 | 20 | 21 | 1 | 1 | 0 | 4 |
326,918 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/clip_shared.py | src.annflux.training.annflux.clip_shared.Image_dataset | from PIL import Image
import os
import torch
class Image_dataset(object):
def __init__(self, root_dir, data_frame, processor):
self.root_dir = root_dir
self.data_frame = data_frame
self.processor = processor
self.data_list = []
for _, row in self.data_frame.iterrows():
... |
class Image_dataset(object):
def __init__(self, root_dir, data_frame, processor):
pass
def __len__(self):
pass
def __getitem__(self, idx):
pass | 4 | 0 | 10 | 2 | 7 | 1 | 2 | 0.13 | 1 | 1 | 0 | 0 | 3 | 4 | 3 | 3 | 33 | 8 | 23 | 15 | 19 | 3 | 23 | 14 | 19 | 3 | 1 | 1 | 6 |
326,919 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/feature_extractor.py | src.annflux.training.annflux.feature_extractor.BaseFeatureExtractor | from annflux.repository.dataset import Dataset
import numpy as np
import abc
class BaseFeatureExtractor(abc.ABC):
def load_model(self):
pass
def compute_features(self, dataset: Dataset, multi=False, batch_size=32) -> np.array:
pass |
class BaseFeatureExtractor(abc.ABC):
def load_model(self):
pass
def compute_features(self, dataset: Dataset, multi=False, batch_size=32) -> np.array:
pass | 3 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 2 | 22 | 8 | 1 | 7 | 5 | 2 | 0 | 5 | 3 | 2 | 1 | 4 | 0 | 2 |
326,920 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/feature_extractor.py | src.annflux.training.annflux.feature_extractor.OpenVinoMixin | import abc
class OpenVinoMixin(abc.ABC):
def convert_model(self):
pass |
class OpenVinoMixin(abc.ABC):
def convert_model(self):
pass | 2 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 21 | 3 | 0 | 3 | 2 | 1 | 0 | 3 | 2 | 1 | 1 | 4 | 0 | 1 |
326,921 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/feature_extractor.py | src.annflux.training.annflux.feature_extractor.PeftTrainableMixin | from os import PathLike
import pandas
import abc
class PeftTrainableMixin(abc.ABC):
def train_peft(self, data: pandas.DataFrame, out_folder: PathLike | str, train_parameters: TrainParameters):
pass |
class PeftTrainableMixin(abc.ABC):
def train_peft(self, data: pandas.DataFrame, out_folder: PathLike | str, train_parameters: TrainParameters):
pass | 2 | 0 | 7 | 0 | 7 | 0 | 1 | 0 | 1 | 3 | 1 | 1 | 1 | 0 | 1 | 21 | 8 | 0 | 8 | 7 | 1 | 0 | 3 | 2 | 1 | 1 | 4 | 0 | 1 |
326,922 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/annflux/feature_extractor.py | src.annflux.training.annflux.feature_extractor.TrainParameters | from dataclasses import dataclass
@dataclass
class TrainParameters:
num_epochs: int | @dataclass
class TrainParameters:
pass | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
326,923 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/training/tensorflow/tf_backend.py | src.annflux.training.tensorflow.tf_backend.BalanceSequence | from typing import Dict, List
import math
import numpy as np
from keras.src.trainers.data_adapters.py_dataset_adapter import PyDataset
from collections import defaultdict, Counter
class BalanceSequence(PyDataset):
def __init__(self, x_set, y_set, batch_size, balance: bool=False):
self.x, self.y = (np.arra... |
class BalanceSequence(PyDataset):
def __init__(self, x_set, y_set, batch_size, balance: bool=False):
pass
def __len__(self):
pass
def __getitem__(self, idx):
pass | 4 | 0 | 8 | 0 | 8 | 0 | 2 | 0.04 | 1 | 8 | 0 | 0 | 3 | 6 | 3 | 3 | 28 | 3 | 25 | 14 | 21 | 1 | 22 | 14 | 18 | 3 | 1 | 1 | 6 |
326,924 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/ui/basic/run_server.py | src.annflux.ui.basic.run_server.NoStatus | import logging
class NoStatus(logging.Filter):
def filter(self, record):
return 'POST /status' not in record.getMessage() |
class NoStatus(logging.Filter):
def filter(self, record):
pass | 2 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 3 | 0 | 3 | 2 | 1 | 0 | 3 | 2 | 1 | 1 | 2 | 0 | 1 |
326,925 | open-edge-platform/annflux | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/open-edge-platform_annflux/src/annflux/ui/basic/run_server.py | src.annflux.ui.basic.run_server.StatusUpdate | from tensorflow.python.keras.callbacks import Callback
from annflux.tools.core import AnnFluxState
class StatusUpdate(Callback):
def __init__(self, state: AnnFluxState):
super().__init__()
self.state = state
def on_epoch_end(self, epoch, logs=None):
self.state.linear_status_epoch = ep... |
class StatusUpdate(Callback):
def __init__(self, state: AnnFluxState):
pass
def on_epoch_end(self, epoch, logs=None):
pass | 3 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 2 | 1 | 2 | 2 | 7 | 1 | 6 | 4 | 3 | 0 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
326,926 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/_load_and_query/_load_and_query.py | lakebench.benchmarks._load_and_query._load_and_query._LoadAndQuery | import posixpath
from ...engines.polars import Polars
from ...engines.duckdb import DuckDB
import inspect
from ...engines.spark import Spark
from ...engines.daft import Daft
from ...engines.sail import Sail
from ...engines.base import BaseEngine
from ...utils.query_utils import transpile_and_qualify_query, get_table_na... |
class _LoadAndQuery(BaseBenchmark):
'''
Base class for benchmarks that only have a simple Load and Query phase (TPC-H, TPC-DS, ClickBench).
PLEASE DO NOT INSTANTIATE THIS CLASS DIRECTLY. Use the subclasses instead.
'''
def __init__(self, engine: BaseEngine, scenario_name: str, scale_factor: ... | 8 | 7 | 41 | 3 | 27 | 11 | 5 | 0.35 | 1 | 12 | 5 | 6 | 7 | 8 | 7 | 31 | 327 | 30 | 220 | 66 | 201 | 78 | 125 | 49 | 117 | 13 | 5 | 4 | 37 |
326,927 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/base.py | lakebench.benchmarks.base.BaseBenchmark | from typing import Dict, Type, Optional
from ..engines.base import BaseEngine
from importlib.metadata import version, PackageNotFoundError
import uuid
from ..utils.timer import timer
from abc import ABC, abstractmethod
from datetime import datetime
class BaseBenchmark(ABC):
"""
Abstract base class for defining... |
class BaseBenchmark(ABC):
'''
Abstract base class for defining benchmarks. This class provides a structure for implementing benchmarks
with a specific engine and scenario, and includes functionality for timing and saving results.
Attributes
----------
BENCHMARK_IMPL_REGISTRY : Dict[Type, Type]
... | 7 | 3 | 23 | 2 | 14 | 7 | 2 | 0.75 | 1 | 6 | 1 | 2 | 3 | 8 | 4 | 24 | 158 | 13 | 84 | 20 | 77 | 63 | 29 | 17 | 24 | 5 | 4 | 3 | 9 |
326,928 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/clickbench/ClickBench.py | lakebench.benchmarks.clickbench.ClickBench.ClickBench | from .._load_and_query import _LoadAndQuery
from ...engines.base import BaseEngine
from .engine_impl.spark import SparkClickBench
from ...engines.spark import Spark
from ...engines.sail import Sail
from .engine_impl.duckdb import DuckDBClickBench
from typing import Optional, List
from ...engines.duckdb import DuckDB
c... |
class ClickBench(_LoadAndQuery):
'''
Class for running the ClickBench benchmark.
This class provides functionality for running the ClickBench benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constan... | 2 | 1 | 20 | 0 | 20 | 0 | 1 | 1.03 | 1 | 4 | 1 | 0 | 1 | 0 | 1 | 32 | 83 | 4 | 39 | 17 | 28 | 40 | 9 | 8 | 7 | 1 | 6 | 0 | 1 |
326,929 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/clickbench/clickbench.py | lakebench.benchmarks.clickbench.clickbench.ClickBench | from typing import Optional, List
from .._load_and_query import _LoadAndQuery
from .engine_impl.duckdb import DuckDBClickBench
from ...engines.sail import Sail
from ...engines.base import BaseEngine
from .engine_impl.spark import SparkClickBench
from ...engines.spark import Spark
from ...engines.duckdb import DuckDB
c... |
class ClickBench(_LoadAndQuery):
'''
Class for running the ClickBench benchmark.
This class provides functionality for running the ClickBench benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constan... | 2 | 1 | 20 | 0 | 20 | 0 | 1 | 1.03 | 1 | 4 | 1 | 0 | 1 | 0 | 1 | 32 | 83 | 4 | 39 | 17 | 28 | 40 | 9 | 8 | 7 | 1 | 6 | 0 | 1 |
326,930 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/clickbench/engine_impl/duckdb.py | lakebench.benchmarks.clickbench.engine_impl.duckdb.DuckDBClickBench | from ....engines.duckdb import DuckDB
from typing import Optional
import posixpath
class DuckDBClickBench:
def __init__(self, engine: DuckDB):
self.engine = engine
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
... |
class DuckDBClickBench:
def __init__(self, engine: DuckDB):
pass
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
'''
Loads the ClickBench parquet data into Delta format using Spark.
Paramete... | 4 | 1 | 8 | 1 | 5 | 2 | 1 | 0.47 | 0 | 3 | 1 | 0 | 3 | 1 | 3 | 3 | 27 | 5 | 15 | 6 | 11 | 7 | 8 | 6 | 4 | 1 | 0 | 0 | 3 |
326,931 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/clickbench/engine_impl/sail.py | lakebench.benchmarks.clickbench.engine_impl.sail.SailClickBench | import posixpath
from typing import Optional
from ....engines.sail import Sail
class SailClickBench:
def __init__(self, engine: Sail):
self.engine = engine
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
""... |
class SailClickBench:
def __init__(self, engine: Sail):
pass
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
'''
Loads the ClickBench parquet data into Delta format using Spark.
Parameters
... | 4 | 1 | 9 | 1 | 5 | 3 | 1 | 0.67 | 0 | 3 | 1 | 0 | 3 | 1 | 3 | 3 | 31 | 6 | 15 | 8 | 10 | 10 | 15 | 8 | 10 | 1 | 0 | 0 | 3 |
326,932 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/clickbench/engine_impl/spark.py | lakebench.benchmarks.clickbench.engine_impl.spark.SparkClickBench | from typing import Optional
from ....engines.spark import Spark
class SparkClickBench:
def __init__(self, engine: Spark):
self.engine = engine
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
"""
Loa... |
class SparkClickBench:
def __init__(self, engine: Spark):
pass
def load_parquet_to_delta(self, table_name: str, source_data_path: str, table_is_precreated: bool=False, context_decorator: str=None):
'''
Loads the ClickBench parquet data into Delta format using Spark.
Parameters... | 4 | 1 | 9 | 1 | 5 | 3 | 1 | 0.67 | 0 | 3 | 1 | 0 | 3 | 1 | 3 | 3 | 31 | 6 | 15 | 8 | 10 | 10 | 15 | 8 | 10 | 1 | 0 | 0 | 3 |
326,933 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/elt_bench.py | lakebench.benchmarks.elt_bench.elt_bench.ELTBench | from ...engines.polars import Polars
from ...engines.base import BaseEngine
from .engine_impl.sail import SailELTBench
from ..base import BaseBenchmark
from ...engines.spark import Spark
from .engine_impl.duckdb import DuckDBELTBench
from ...engines.sail import Sail
import posixpath
from typing import Optional
from .en... |
class ELTBench(BaseBenchmark):
'''
Class for running the ELTBench benchmark.
The ELTBench benchmark is designed to evaluate end-to-end performance of engines in supporting typical Lakehouse architecture patterns. This includes bulk loading data, creation of star schema tables, incrementally merging data in... | 4 | 3 | 37 | 4 | 27 | 6 | 6 | 0.43 | 1 | 9 | 2 | 0 | 3 | 7 | 3 | 27 | 161 | 18 | 100 | 29 | 86 | 43 | 57 | 18 | 53 | 11 | 5 | 3 | 17 |
326,934 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/engine_impl/daft.py | lakebench.benchmarks.elt_bench.engine_impl.daft.DaftELTBench | from ....engines.daft import Daft
from ....engines.delta_rs import DeltaRs
import posixpath
class DaftELTBench:
def __init__(self, engine: Daft):
self.engine = engine
import numpy as np
self.np = np
self.delta_rs = DeltaRs()
self.write_deltalake = self.delta_rs.write_deltal... |
class DaftELTBench:
def __init__(self, engine: Daft):
pass
def create_total_sales_fact(self):
pass
def merge_percent_into_total_sales_fact(self, percent: float):
pass
def query_total_sales_fact(self):
pass | 5 | 0 | 37 | 2 | 35 | 0 | 1 | 0.01 | 0 | 4 | 2 | 0 | 4 | 5 | 4 | 4 | 151 | 11 | 139 | 17 | 133 | 1 | 19 | 17 | 13 | 1 | 0 | 0 | 4 |
326,935 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/engine_impl/duckdb.py | lakebench.benchmarks.elt_bench.engine_impl.duckdb.DuckDBELTBench | import posixpath
from ....engines.duckdb import DuckDB
from ....engines.delta_rs import DeltaRs
class DuckDBELTBench:
def __init__(self, engine: DuckDB):
self.engine = engine
import numpy as np
self.np = np
self.delta_rs = DeltaRs()
self.write_deltalake = self.delta_rs.writ... |
class DuckDBELTBench:
def __init__(self, engine: DuckDB):
pass
def create_total_sales_fact(self):
pass
def merge_percent_into_total_sales_fact(self, percent: float):
pass
def query_total_sales_fact(self):
pass | 5 | 0 | 31 | 3 | 28 | 0 | 2 | 0 | 0 | 4 | 2 | 0 | 4 | 5 | 4 | 4 | 127 | 14 | 113 | 19 | 107 | 0 | 25 | 19 | 19 | 2 | 0 | 1 | 6 |
326,936 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/engine_impl/polars.py | lakebench.benchmarks.elt_bench.engine_impl.polars.PolarsELTBench | import posixpath
from ....engines.polars import Polars
from ....engines.delta_rs import DeltaRs
class PolarsELTBench:
def __init__(self, engine: Polars):
import numpy as np
self.np = np
self.delta_rs = DeltaRs()
self.write_deltalake = self.delta_rs.write_deltalake
self.Delt... |
class PolarsELTBench:
def __init__(self, engine: Polars):
pass
def create_total_sales_fact(self):
pass
def merge_percent_into_total_sales_fact(self, percent: float):
pass
def query_total_sales_fact(self):
pass | 5 | 0 | 34 | 1 | 33 | 0 | 1 | 0.01 | 0 | 4 | 2 | 0 | 4 | 6 | 4 | 4 | 140 | 7 | 132 | 17 | 126 | 1 | 19 | 17 | 13 | 1 | 0 | 0 | 4 |
326,937 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/engine_impl/sail.py | lakebench.benchmarks.elt_bench.engine_impl.sail.SailELTBench | from ....engines.sail import Sail
import posixpath
class SailELTBench:
def __init__(self, engine: Sail):
import numpy as np
self.np = np
self.engine = engine
def create_total_sales_fact(self):
for table in ['store_sales', 'date_dim', 'store', 'item', 'customer']:
s... |
class SailELTBench:
def __init__(self, engine: Sail):
pass
def create_total_sales_fact(self):
pass
def merge_percent_into_total_sales_fact(self, percent: float):
pass
def query_total_sales_fact(self):
pass | 5 | 0 | 28 | 2 | 26 | 0 | 1 | 0 | 0 | 3 | 1 | 0 | 4 | 2 | 4 | 4 | 114 | 9 | 105 | 16 | 99 | 0 | 20 | 16 | 14 | 2 | 0 | 1 | 5 |
326,938 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/elt_bench/engine_impl/spark.py | lakebench.benchmarks.elt_bench.engine_impl.spark.SparkELTBench | from ....engines.spark import Spark
class SparkELTBench:
def __init__(self, engine: Spark):
import numpy as np
self.np = np
self.engine = engine
def create_total_sales_fact(self):
self.engine.spark.sql('\n CREATE OR REPLACE TABLE total_sales_fact USING DELTA AS\n ... |
class SparkELTBench:
def __init__(self, engine: Spark):
pass
def create_total_sales_fact(self):
pass
def merge_percent_into_total_sales_fact(self, percent: float):
pass
def query_total_sales_fact(self):
pass | 5 | 0 | 26 | 1 | 25 | 0 | 1 | 0.01 | 0 | 3 | 1 | 0 | 4 | 2 | 4 | 4 | 107 | 7 | 99 | 13 | 93 | 1 | 16 | 13 | 10 | 1 | 0 | 0 | 4 |
326,939 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/tpcds/TPCDS.py | lakebench.benchmarks.tpcds.TPCDS.TPCDS | from ...engines.polars import Polars
from .._load_and_query import _LoadAndQuery
from ...engines.duckdb import DuckDB
from ...engines.daft import Daft
from ...engines.sail import Sail
from ...engines.spark import Spark
class TPCDS(_LoadAndQuery):
"""
Class for running the TPC-DS benchmark.
This class prov... |
class TPCDS(_LoadAndQuery):
'''
Class for running the TPC-DS benchmark.
This class provides functionality for running the TPC-DS benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constant.
Parame... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 74 | 3 | 31 | 7 | 30 | 40 | 7 | 7 | 6 | 0 | 6 | 0 | 0 |
326,940 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/tpcds/tpcds.py | lakebench.benchmarks.tpcds.tpcds.TPCDS | from ...engines.polars import Polars
from .._load_and_query import _LoadAndQuery
from ...engines.sail import Sail
from ...engines.duckdb import DuckDB
from ...engines.spark import Spark
from ...engines.daft import Daft
class TPCDS(_LoadAndQuery):
"""
Class for running the TPC-DS benchmark.
This class prov... |
class TPCDS(_LoadAndQuery):
'''
Class for running the TPC-DS benchmark.
This class provides functionality for running the TPC-DS benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constant.
Parame... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 74 | 3 | 31 | 7 | 30 | 40 | 7 | 7 | 6 | 0 | 6 | 0 | 0 |
326,941 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/tpch/TPCH.py | lakebench.benchmarks.tpch.TPCH.TPCH | from ...engines.sail import Sail
from .._load_and_query import _LoadAndQuery
from ...engines.daft import Daft
from ...engines.duckdb import DuckDB
from ...engines.polars import Polars
from ...engines.spark import Spark
class TPCH(_LoadAndQuery):
"""
Class for running the TPC-H benchmark.
This class provid... |
class TPCH(_LoadAndQuery):
'''
Class for running the TPC-H benchmark.
This class provides functionality for running the TPC-H benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constant.
Parameter... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 59 | 3 | 20 | 7 | 19 | 36 | 7 | 7 | 6 | 0 | 6 | 0 | 0 |
326,942 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/benchmarks/tpch/tpch.py | lakebench.benchmarks.tpch.tpch.TPCH | from ...engines.polars import Polars
from ...engines.sail import Sail
from .._load_and_query import _LoadAndQuery
from ...engines.duckdb import DuckDB
from ...engines.spark import Spark
from ...engines.daft import Daft
class TPCH(_LoadAndQuery):
"""
Class for running the TPC-H benchmark.
This class provid... |
class TPCH(_LoadAndQuery):
'''
Class for running the TPC-H benchmark.
This class provides functionality for running the TPC-H benchmark, including loading data,
executing queries, and performing power tests. Supported engines are listed in the
`self.BENCHMARK_IMPL_REGISTRY` constant.
Parameter... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 59 | 3 | 20 | 7 | 19 | 36 | 7 | 7 | 6 | 0 | 6 | 0 | 0 |
326,943 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/datagen/_tpc.py | lakebench.datagen._tpc._TPCDataGenerator | import os
import posixpath
import importlib.util
class _TPCDataGenerator:
"""
Base class for TPC data generation. PLEASE DO NOT INSTANTIATE THIS CLASS DIRECTLY. Use the TPCHDataGenerator and TPCDSDataGenerator
subclasses instead.
"""
GEN_UTIL = ''
def __init__(self, scale_factor: int, target_m... |
class _TPCDataGenerator:
'''
Base class for TPC data generation. PLEASE DO NOT INSTANTIATE THIS CLASS DIRECTLY. Use the TPCHDataGenerator and TPCDSDataGenerator
subclasses instead.
'''
def __init__(self, scale_factor: int, target_mount_folder_path: str=None, target_row_group_size_mb: int=128):... | 3 | 3 | 36 | 5 | 19 | 12 | 2 | 0.7 | 0 | 4 | 0 | 2 | 2 | 3 | 2 | 2 | 79 | 11 | 40 | 19 | 35 | 28 | 31 | 19 | 26 | 2 | 0 | 1 | 4 |
326,944 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/datagen/clickbench.py | lakebench.datagen.clickbench.ClickBenchDataGenerator | import posixpath
from typing import Optional
class ClickBenchDataGenerator:
def __init__(self, target_mount_folder_path: str=None, partitioned_files: bool=True):
"""
Initialize the ClickBench data generator. Technically, this just downloads the ClickBench data from the ClickHouse datasets reposito... |
class ClickBenchDataGenerator:
def __init__(self, target_mount_folder_path: str=None, partitioned_files: bool=True):
'''
Initialize the ClickBench data generator. Technically, this just downloads the ClickBench data from the ClickHouse datasets repository.
:param partitioned_files: If True... | 4 | 2 | 16 | 2 | 8 | 5 | 2 | 0.64 | 0 | 6 | 0 | 0 | 3 | 2 | 3 | 3 | 52 | 11 | 25 | 17 | 19 | 16 | 24 | 14 | 18 | 4 | 0 | 2 | 7 |
326,945 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/datagen/tpcds.py | lakebench.datagen.tpcds.TPCDSDataGenerator | from ._tpc import _TPCDataGenerator
class TPCDSDataGenerator(_TPCDataGenerator):
"""
This class is a wrapper for the DuckDB TPC-DS data generation utility. It generates TPC-DS data in Parquet format
based on the specified scale factor and target row group size in MB.
Attributes
----------
scal... |
class TPCDSDataGenerator(_TPCDataGenerator):
'''
This class is a wrapper for the DuckDB TPC-DS data generation utility. It generates TPC-DS data in Parquet format
based on the specified scale factor and target row group size in MB.
Attributes
----------
scale_factor : int
The scale fact... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 20 | 2 | 2 | 2 | 1 | 16 | 2 | 2 | 1 | 0 | 1 | 0 | 0 |
326,946 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/datagen/tpch.py | lakebench.datagen.tpch.TPCHDataGenerator | from ._tpc import _TPCDataGenerator
class TPCHDataGenerator(_TPCDataGenerator):
"""
This class is a wrapper for the DuckDB TPC-H data generation utility. It generates TPC-H data in Parquet format
based on the specified scale factor and target row group size in MB.
Attributes
----------
scale_f... |
class TPCHDataGenerator(_TPCDataGenerator):
'''
This class is a wrapper for the DuckDB TPC-H data generation utility. It generates TPC-H data in Parquet format
based on the specified scale factor and target row group size in MB.
Attributes
----------
scale_factor : int
The scale factor ... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 20 | 2 | 2 | 2 | 1 | 16 | 2 | 2 | 1 | 0 | 1 | 0 | 0 |
326,947 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/base.py | lakebench.engines.base.BaseEngine | from decimal import Decimal
from importlib.metadata import version
from typing import Optional
from abc import ABC
import shutil
class BaseEngine(ABC):
"""
Abstract base class for implementing different engine types.
Attributes
----------
SQLGLOT_DIALECT : str, optional
Specifies the SQL d... |
class BaseEngine(ABC):
'''
Abstract base class for implementing different engine types.
Attributes
----------
SQLGLOT_DIALECT : str, optional
Specifies the SQL dialect to be used by the engine when SQL transpiling
is required. Default is None.
REQUIRED_READ_ENDPOINT : str, optio... | 9 | 6 | 20 | 2 | 14 | 5 | 3 | 0.49 | 1 | 10 | 1 | 6 | 8 | 12 | 8 | 28 | 198 | 24 | 119 | 52 | 103 | 58 | 87 | 50 | 71 | 5 | 4 | 3 | 20 |
326,948 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/daft.py | lakebench.engines.daft.Daft | import posixpath
from typing import Optional
from importlib.metadata import version
import os
from .base import BaseEngine
from .delta_rs import DeltaRs
class Daft(BaseEngine):
"""
Daft Engine for ELT Benchmarks.
"""
SQLGLOT_DIALECT = 'mysql'
REQUIRED_READ_ENDPOINT = 'abfss'
REQUIRED_WRITE_ENDP... |
class Daft(BaseEngine):
'''
Daft Engine for ELT Benchmarks.
'''
def __init__(self, delta_abfss_schema_path: str, cost_per_vcore_hour: Optional[float]=None):
'''
Initialize the Daft Engine Configs
'''
pass
def load_parquet_to_delta(self, parquet_folder_path: str, ta... | 7 | 4 | 11 | 1 | 9 | 2 | 2 | 0.2 | 1 | 7 | 1 | 0 | 6 | 7 | 6 | 34 | 83 | 10 | 61 | 30 | 48 | 12 | 40 | 26 | 31 | 6 | 5 | 2 | 11 |
326,949 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/delta_rs.py | lakebench.engines.delta_rs.DeltaRs | from .base import BaseEngine
class DeltaRs(BaseEngine):
"""
Delta-Rs Engine for ELT Benchmarks.
"""
def __init__(self):
"""
Initialize the Delta-rs Engine Configs
"""
from deltalake.writer import write_deltalake
from deltalake import DeltaTable
self.writ... |
class DeltaRs(BaseEngine):
'''
Delta-Rs Engine for ELT Benchmarks.
'''
def __init__(self):
'''
Initialize the Delta-rs Engine Configs
'''
pass | 2 | 2 | 8 | 0 | 5 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 29 | 13 | 1 | 6 | 6 | 2 | 6 | 6 | 6 | 2 | 1 | 5 | 0 | 1 |
326,950 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/duckdb.py | lakebench.engines.duckdb.DuckDB | import posixpath
from importlib.metadata import version
import os
from .delta_rs import DeltaRs
from .base import BaseEngine
from typing import Optional
class DuckDB(BaseEngine):
"""
DuckDB Engine for ELT Benchmarks.
"""
SQLGLOT_DIALECT = 'duckdb'
REQUIRED_READ_ENDPOINT = None
REQUIRED_WRITE_EN... |
class DuckDB(BaseEngine):
'''
DuckDB Engine for ELT Benchmarks.
'''
def __init__(self, delta_abfss_schema_path: str, cost_per_vcore_hour: Optional[float]=None):
'''
Initialize the DuckDB Engine Configs
'''
pass
def _create_empty_table(self, table_name: str, ddl: st... | 8 | 4 | 11 | 1 | 8 | 2 | 2 | 0.23 | 1 | 7 | 1 | 0 | 7 | 7 | 7 | 35 | 91 | 11 | 65 | 30 | 52 | 15 | 42 | 26 | 33 | 4 | 5 | 2 | 11 |
326,951 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/fabric_spark.py | lakebench.engines.fabric_spark.FabricSpark | import re
from urllib.parse import urlparse, parse_qs
from .spark import Spark
from typing import Optional
from decimal import Decimal
class FabricSpark(Spark):
"""
Spark Engine for ELT Benchmarks.
"""
def __init__(self, lakehouse_name: str, lakehouse_schema_name: str, spark_measure_telemetry: bool=Fa... |
class FabricSpark(Spark):
'''
Spark Engine for ELT Benchmarks.
'''
def __init__(self, lakehouse_name: str, lakehouse_schema_name: str, spark_measure_telemetry: bool=False, cost_per_vcore_hour: Optional[float]=None, compute_stats_all_cols: bool=False):
'''
Initialize the SparkEngine wit... | 2 | 2 | 60 | 6 | 50 | 5 | 2 | 0.16 | 1 | 5 | 0 | 0 | 1 | 7 | 1 | 42 | 65 | 7 | 51 | 17 | 42 | 8 | 17 | 10 | 15 | 2 | 6 | 1 | 2 |
326,952 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/polars.py | lakebench.engines.polars.Polars | from .base import BaseEngine
import posixpath
from importlib.metadata import version
from typing import Optional
import os
from .delta_rs import DeltaRs
class Polars(BaseEngine):
"""
Polars Engine for ELT Benchmarks.
"""
SQLGLOT_DIALECT = 'duckdb'
REQUIRED_READ_ENDPOINT = None
REQUIRED_WRITE_EN... |
class Polars(BaseEngine):
'''
Polars Engine for ELT Benchmarks.
'''
def __init__(self, delta_abfss_schema_path: str, cost_per_vcore_hour: Optional[float]=None):
'''
Initialize the Polars Engine Configs
'''
pass
def load_parquet_to_delta(self, parquet_folder_path: s... | 7 | 4 | 11 | 0 | 9 | 2 | 2 | 0.2 | 1 | 7 | 1 | 0 | 6 | 9 | 6 | 34 | 81 | 8 | 61 | 31 | 49 | 12 | 37 | 27 | 29 | 4 | 5 | 2 | 9 |
326,953 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/sail.py | lakebench.engines.sail.Sail | from typing import Optional
from .delta_rs import DeltaRs
from importlib.metadata import version
import posixpath
from .base import BaseEngine
import os
class Sail(BaseEngine):
"""
Sail Engine for ELT Benchmarks.
File system support: https://docs.lakesail.com/sail/main/guide/storage/
"""
_SAIL_SER... |
class Sail(BaseEngine):
'''
Sail Engine for ELT Benchmarks.
File system support: https://docs.lakesail.com/sail/main/guide/storage/
'''
def __init__(self, delta_abfss_schema_path: str, cost_per_vcore_hour: Optional[float]=None):
'''
Initialize the Sail Engine Configs
'''
... | 8 | 5 | 15 | 1 | 11 | 3 | 2 | 0.27 | 1 | 9 | 1 | 0 | 7 | 8 | 7 | 35 | 122 | 13 | 86 | 44 | 64 | 23 | 51 | 31 | 41 | 7 | 5 | 2 | 13 |
326,954 | mwc360/LakeBench | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/mwc360_LakeBench/src/lakebench/engines/spark.py | lakebench.engines.spark.Spark | from .base import BaseEngine
import os
from typing import Optional
import posixpath
class Spark(BaseEngine):
"""
Spark Engine for ELT Benchmarks.
"""
SQLGLOT_DIALECT = 'spark'
REQUIRED_READ_ENDPOINT = None
REQUIRED_WRITE_ENDPOINT = None
SUPPORTS_ONELAKE = True
SUPPORTS_SCHEMA_PREP = Tru... |
class Spark(BaseEngine):
'''
Spark Engine for ELT Benchmarks.
'''
def __init__(self, catalog_name: Optional[str], schema_name: str, schema_abfss_path: Optional[str]=None, spark_measure_telemetry: bool=False, cost_per_vcore_hour: Optional[float]=None, compute_stats_all_cols: bool=False):
'''
... | 14 | 8 | 14 | 1 | 11 | 3 | 3 | 0.25 | 1 | 8 | 0 | 1 | 13 | 13 | 13 | 41 | 210 | 28 | 146 | 76 | 119 | 37 | 102 | 68 | 83 | 11 | 5 | 2 | 33 |
326,955 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/extensions/attribution/3pp/windsurf.py | 3pp.windsurf.Windsurf | import shutil
from pathlib import Path
import os
import requests
import platform
import logging
import json
class Windsurf:
def __init__(self, log_level=logging.INFO):
"""Initialize the Windsurf class for Codeium integration."""
logging.basicConfig(level=log_level)
self.logger = logging.ge... |
class Windsurf:
def __init__(self, log_level=logging.INFO):
'''Initialize the Windsurf class for Codeium integration.'''
pass
def log(self, message, is_error=False):
'''Log messages with appropriate level.'''
pass
def _get_user_data_path(self):
'''Get the path to ... | 11 | 10 | 15 | 2 | 10 | 3 | 3 | 0.26 | 0 | 2 | 0 | 0 | 10 | 3 | 10 | 10 | 155 | 28 | 104 | 31 | 93 | 27 | 97 | 27 | 86 | 11 | 0 | 4 | 33 |
326,956 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/_proxy.py | _proxy.ProxyProperty | from lazy_object_proxy import Proxy
from collections.abc import Callable
from typing import Generic, ParamSpec, TypeVar
from lazy_object_proxy.simple import make_proxy_method
class ProxyProperty(Proxy, Generic[P, T]):
"""Lazy proxy that can behave like a method or a property depending on how its used. The class it... |
class ProxyProperty(Proxy, Generic[P, T]):
'''Lazy proxy that can behave like a method or a property depending on how its used. The class it's proxying should not implement __call__'''
def __call__(self, *args: P.args, **kwargs: P.kwargs) -> T:
pass | 2 | 1 | 2 | 0 | 2 | 0 | 1 | 0.2 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 9 | 3 | 5 | 3 | 3 | 1 | 5 | 3 | 3 | 1 | 1 | 0 | 1 |
326,957 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/codebase/flagging/groupers/all_grouper.py | all_grouper.AllGrouper | from graph_sitter.codebase.flagging.groupers.enums import GroupBy
from graph_sitter.codebase.flagging.group import Group
from graph_sitter.codebase.flagging.groupers.base_grouper import BaseGrouper
from graph_sitter.codebase.flagging.code_flag import CodeFlag
from graph_sitter.git.repo_operator.repo_operator import Rep... |
class AllGrouper(BaseGrouper):
'''Group all flags into one group.'''
@staticmethod
def create_all_groups(flags: list[CodeFlag], repo_operator: RepoOperator | None=None) -> list[Group]:
pass
@staticmethod
def create_single_group(flags: list[CodeFlag], segment: str, repo_operator: RepoOperato... | 5 | 1 | 4 | 0 | 4 | 0 | 2 | 0.09 | 1 | 7 | 4 | 0 | 0 | 0 | 2 | 5 | 15 | 3 | 11 | 7 | 6 | 1 | 9 | 5 | 6 | 2 | 1 | 1 | 4 |
326,958 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/shared/exceptions/api.py | api.APINotApplicableForLanguageError | class APINotApplicableForLanguageError(Exception):
pass | class APINotApplicableForLanguageError(Exception):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 3 | 0 | 0 |
326,959 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/examples/examples/modal_repo_rag/api.py | api.QARequest | from pydantic import BaseModel
class QARequest(BaseModel):
"""Request model for code Q&A."""
repo_name: str
query: str |
class QARequest(BaseModel):
'''Request model for code Q&A.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
326,960 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/examples/examples/modal_repo_rag/api.py | api.QAResponse | from pydantic import BaseModel
class QAResponse(BaseModel):
"""Response model for code Q&A."""
answer: str = ''
context: list[dict[str, str]] = []
status: str = 'success'
error: str = '' |
class QAResponse(BaseModel):
'''Response model for code Q&A.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 1 | 5 | 5 | 4 | 2 | 5 | 5 | 4 | 0 | 5 | 0 | 0 |
326,961 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/examples/examples/modal_repo_analytics/api.py | api.RepoMetrics | from pydantic import BaseModel
class RepoMetrics(BaseModel):
"""Response model for repository metrics."""
num_files: int = 0
num_functions: int = 0
num_classes: int = 0
status: str = 'success'
error: str = '' |
class RepoMetrics(BaseModel):
'''Response model for repository metrics.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 8 | 1 | 6 | 6 | 5 | 1 | 6 | 6 | 5 | 0 | 5 | 0 | 0 |
326,962 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.CreateBranchRequest | from graph_sitter.runner.models.codemod import BranchConfig, Codemod, CodemodRunResult, CreatedBranch, GroupingConfig
from pydantic import BaseModel
class CreateBranchRequest(BaseModel):
codemod: Codemod
commit_msg: str
grouping_config: GroupingConfig
branch_config: BranchConfig |
class CreateBranchRequest(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
326,963 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.CreateBranchResponse | from graph_sitter.runner.models.codemod import BranchConfig, Codemod, CodemodRunResult, CreatedBranch, GroupingConfig
from pydantic import BaseModel
class CreateBranchResponse(BaseModel):
results: list[CodemodRunResult] | None = None
branches: list[CreatedBranch] | None = None
num_flags: int | None = None
... |
class CreateBranchResponse(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 5 | 4 | 0 | 5 | 5 | 4 | 0 | 5 | 0 | 0 |
326,964 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.GetDiffRequest | from graph_sitter.runner.models.codemod import BranchConfig, Codemod, CodemodRunResult, CreatedBranch, GroupingConfig
from pydantic import BaseModel
class GetDiffRequest(BaseModel):
codemod: Codemod
max_transactions: int | None = None
max_seconds: int | None = None |
class GetDiffRequest(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 3 | 3 | 0 | 4 | 3 | 3 | 0 | 5 | 0 | 0 |
326,965 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.GetDiffResponse | from graph_sitter.runner.models.codemod import BranchConfig, Codemod, CodemodRunResult, CreatedBranch, GroupingConfig
from pydantic import BaseModel
class GetDiffResponse(BaseModel):
result: CodemodRunResult |
class GetDiffResponse(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
326,966 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.GetRunOnStringRequest | from pydantic import BaseModel
class GetRunOnStringRequest(BaseModel):
codemod_source: str
language: str
files: dict[str, str] |
class GetRunOnStringRequest(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
326,967 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.GetRunOnStringResult | from pydantic import BaseModel
from graph_sitter.runner.models.codemod import BranchConfig, Codemod, CodemodRunResult, CreatedBranch, GroupingConfig
class GetRunOnStringResult(BaseModel):
result: CodemodRunResult |
class GetRunOnStringResult(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
326,968 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.RunFunctionRequest | from pydantic import BaseModel
class RunFunctionRequest(BaseModel):
codemod_source: str
function_name: str
commit: bool = False |
class RunFunctionRequest(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 2 | 3 | 0 | 4 | 2 | 3 | 0 | 5 | 0 | 0 |
326,969 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/runner/models/apis.py | apis.ServerInfo | from graph_sitter.runner.enums.warmup_state import WarmupState
from pydantic import BaseModel
class ServerInfo(BaseModel):
repo_name: str | None = None
synced_commit: str | None = None
warmup_state: WarmupState = WarmupState.PENDING |
class ServerInfo(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 4 | 3 | 0 | 4 | 4 | 3 | 0 | 5 | 0 | 0 |
326,970 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/codebase/flagging/groupers/app_grouper.py | app_grouper.AppGrouper | from graph_sitter.codebase.flagging.groupers.enums import GroupBy
from graph_sitter.codebase.flagging.code_flag import CodeFlag
from graph_sitter.git.repo_operator.repo_operator import RepoOperator
from graph_sitter.codebase.flagging.groupers.base_grouper import BaseGrouper
from graph_sitter.codebase.flagging.group imp... |
class AppGrouper(BaseGrouper):
'''Group flags by segment=app.
Ex: apps/profile.
'''
@staticmethod
def create_all_groups(flags: list[CodeFlag], repo_operator: RepoOperator | None=None) -> list[Group]:
pass
@staticmethod
def create_single_group(flags: list[CodeFlag], segment: str, rep... | 5 | 1 | 7 | 0 | 7 | 0 | 3 | 0.18 | 1 | 7 | 4 | 0 | 0 | 0 | 2 | 5 | 23 | 3 | 17 | 11 | 12 | 3 | 15 | 9 | 12 | 3 | 1 | 2 | 5 |
326,971 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/typescript/expressions/array_type.py | array_type.TSArrayType | from graph_sitter.shared.decorators.docs import ts_apidoc
from tree_sitter import Node as TSNode
from graph_sitter.typescript.expressions.named_type import TSNamedType
@ts_apidoc
class TSArrayType(TSNamedType[Parent]):
"""Array type
Examples:
string[]
"""
def _get_name_node(self) -> TSNode | N... | @ts_apidoc
class TSArrayType(TSNamedType[Parent]):
'''Array type
Examples:
string[]
'''
def _get_name_node(self) -> TSNode | None:
pass | 3 | 1 | 2 | 0 | 2 | 0 | 1 | 1.33 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 42 | 8 | 1 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 1 | 7 | 0 | 1 |
326,972 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/output/ast.py | ast.AST | from graph_sitter.codebase.span import Span
from typing import Self
from openai import BaseModel
from pydantic.config import ConfigDict
class AST(BaseModel):
model_config = ConfigDict(frozen=True)
graph_sitter_type: str
span: Span
tree_sitter_type: str
children: list[tuple[str | None, Self]] |
class AST(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 0 | 6 | 2 | 5 | 0 | 6 | 2 | 5 | 0 | 2 | 0 | 0 |
326,973 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/configs/models/base_config.py | base_config.BaseConfig | from graph_sitter.shared.path import get_git_root_path
from abc import ABC
from pathlib import Path
from pydantic_settings import BaseSettings, SettingsConfigDict
from graph_sitter.configs.constants import ENV_FILENAME, GLOBAL_ENV_FILE
from dotenv import load_dotenv, set_key
class BaseConfig(BaseSettings, ABC):
""... |
class BaseConfig(BaseSettings, ABC):
'''Base class for all config classes.
Handles loading and saving of configuration values from environment files.
Supports both global and local config files.
'''
def __init__(self, prefix: str, env_filepath: Path | None=None, *args, **kwargs) -> None:
p... | 6 | 3 | 9 | 1 | 7 | 1 | 3 | 0.28 | 2 | 3 | 0 | 3 | 4 | 0 | 4 | 24 | 47 | 10 | 29 | 10 | 23 | 8 | 28 | 8 | 23 | 6 | 4 | 2 | 13 |
326,974 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/codebase/flagging/groupers/base_grouper.py | base_grouper.BaseGrouper | from graph_sitter.codebase.flagging.code_flag import CodeFlag
from graph_sitter.codebase.flagging.group import Group
from graph_sitter.git.repo_operator.repo_operator import RepoOperator
from graph_sitter.codebase.flagging.groupers.enums import GroupBy
class BaseGrouper:
"""Base class of all groupers.
Children... | null | 6 | 2 | 4 | 0 | 3 | 0 | 1 | 0.36 | 0 | 8 | 3 | 6 | 1 | 0 | 3 | 3 | 23 | 4 | 14 | 9 | 8 | 5 | 12 | 7 | 8 | 2 | 0 | 1 | 4 |
326,975 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/gsbuild/build.py | build.SpecialBuildHook | from hatchling.builders.hooks.plugin.interface import BuildHookInterface
from pathlib import Path
from typing import Any
class SpecialBuildHook(BuildHookInterface):
PLUGIN_NAME = 'codegen_build'
def initialize(self, version: str, build_data: dict[str, Any]) -> None:
file = Path(self.root) / 'src' / 'g... |
class SpecialBuildHook(BuildHookInterface):
def initialize(self, version: str, build_data: dict[str, Any]) -> None:
pass | 2 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 1 | 0 | 1 | 1 | 7 | 1 | 6 | 4 | 4 | 0 | 6 | 4 | 4 | 1 | 1 | 0 | 1 |
326,976 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/built_in_type_annotation/built_in_type_annotation.py | built_in_type_annotation.BuiltInTypeAnnotation | from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.skill import Skill
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from codemods.codemod import Codemo... | @skill(canonical=True, prompt='Generate a Python codemod that replaces type annotations from the typing module with their corresponding built-in types. The codemod should iterate\nthrough all files in a codebase, check for imports from the typing module, remove those imports, and replace any usages of typing.List, typi... | 5 | 1 | 15 | 0 | 9 | 6 | 6 | 1.08 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 28 | 3 | 12 | 8 | 9 | 13 | 11 | 7 | 9 | 6 | 5 | 5 | 6 |
326,977 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/core/utils/cache_utils.py | cache_utils.LazyGeneratorCache | from typing import Generic, ParamSpec, TypeVar
from collections.abc import Callable, Iterator
class LazyGeneratorCache(Generic[ItemType]):
"""A cache for a generator that is lazily evaluated."""
_cache: list[ItemType]
gen: Iterator[ItemType]
def __init__(self, gen: Iterator[ItemType]):
self._c... |
class LazyGeneratorCache(Generic[ItemType]):
'''A cache for a generator that is lazily evaluated.'''
def __init__(self, gen: Iterator[ItemType]):
pass
def __iter__(self) -> Iterator[ItemType]:
pass | 3 | 1 | 5 | 1 | 5 | 0 | 2 | 0.08 | 1 | 1 | 0 | 0 | 2 | 0 | 2 | 4 | 17 | 4 | 12 | 4 | 9 | 1 | 12 | 4 | 9 | 3 | 1 | 1 | 4 |
326,978 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/add_function_parameter_type_annotations/add_function_parameter_type_annotations.py | canonical.add_function_parameter_type_annotations.add_function_parameter_type_annotations.AddFunctionParameterTypeAnnotations | from graph_sitter.core.codebase import Codebase
from codemods.codemod import Codemod
from tests.shared.skills.skill import Skill
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.writer_decorators import canonica... | @skill(canonical=True, prompt="Generate a Python codemod that adds type annotations for function parameters named 'db' to be of type 'SessionLocal' from 'app.db'. The codemod should\nalso ensure that the necessary import statement is added if it is not already present. Include examples of the code before and after the\... | 5 | 1 | 13 | 0 | 8 | 5 | 5 | 1.73 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 35 | 5 | 11 | 7 | 8 | 19 | 10 | 6 | 8 | 5 | 5 | 4 | 5 |
326,979 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/add_internal_to_non_exported_components/add_internal_to_non_exported_components.py | canonical.add_internal_to_non_exported_components.add_internal_to_non_exported_components.AddInternalToNonExportedComponents | from tests.shared.skills.decorators import skill, skill_impl
from codemods.codemod import Codemod
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.skill import Skill
from graph_sitter.core.codebase import Codebas... | @skill(canonical=True, prompt="Generate a codemod that iterates through a codebase and renames all non-exported React function components by appending 'Internal' to their names. The\ncodemod should check each function to determine if it is a JSX component and not exported, then rename it accordingly.", uid='302d8f7c-c8... | 5 | 1 | 8 | 0 | 5 | 3 | 4 | 2.25 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 29 | 3 | 8 | 6 | 5 | 18 | 7 | 5 | 5 | 4 | 5 | 3 | 4 |
326,980 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/bang_bang_to_boolean/bang_bang_to_boolean.py | canonical.bang_bang_to_boolean.bang_bang_to_boolean.BangBangToBoolean | from graph_sitter.writer_decorators import canonical
from tests.shared.skills.skill import Skill
from graph_sitter.core.codebase import Codebase
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.decorators import skill, skill_impl
from codemods.codemod import Codemo... | @skill(canonical=True, prompt="Generate a TypeScript codemod that transforms instances of '!!(expression)' into 'Boolean(expression)'. The codemod should search through all\nTypeScript files in a codebase, using a regular expression to identify the pattern. Upon finding a match, it should replace '!!' with 'Boolean(' a... | 5 | 1 | 15 | 1 | 8 | 6 | 4 | 0.64 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 21 | 3 | 11 | 8 | 8 | 7 | 10 | 7 | 8 | 4 | 5 | 3 | 4 |
326,981 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/change_component_tag_names/change_component_tag_names.py | canonical.change_component_tag_names.change_component_tag_names.ChangeJSXElementName | from tests.shared.skills.skill import Skill
from graph_sitter.writer_decorators import canonical
from codemods.codemod import Codemod
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.codebase import Codebase
from graph_sitter.shared.enums.programming_language import ProgrammingLanguag... | @skill(canonical=True, prompt='Generate a codemod that updates all instances of the JSX element <PrivateRoute> to <PrivateRoutesContainer> within React components in a TypeScript\ncodebase. Ensure that the new component is imported if it is not already present. The codemod should check for the existence of the\n<Privat... | 5 | 1 | 22 | 1 | 13 | 8 | 8 | 1.31 | 2 | 2 | 1 | 0 | 1 | 0 | 1 | 32 | 43 | 6 | 16 | 9 | 13 | 21 | 15 | 8 | 13 | 8 | 5 | 6 | 8 |
326,982 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/classnames_to_backtick.py | canonical.classnames_to_backtick.ClassNamesToBackTick | from codemods.codemod import Codemod
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.skill import Skill
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.decorators import skill, skill_imp... | @skill(canonical=True, prompt="Generate a TypeScript codemod that converts all `className='...'` props in JSX elements to use backticks. The codemod should iterate through all files\nin a codebase, identify JSX components, and for each JSX element, check its props. If a prop is named `className` and its value is not al... | 5 | 1 | 19 | 0 | 10 | 9 | 8 | 1.23 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 34 | 5 | 13 | 9 | 10 | 16 | 12 | 8 | 10 | 8 | 5 | 7 | 8 |
326,983 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/convert_array_type_to_square_bracket/convert_array_type_to_square_bracket.py | canonical.convert_array_type_to_square_bracket.convert_array_type_to_square_bracket.ConvertArrayTypeToSquareBracket | from tests.shared.skills.skill import Skill
from graph_sitter.writer_decorators import canonical
from codemods.codemod import Codemod
from graph_sitter.core.expressions.generic_type import GenericType
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.codebase import Codebase
from graph... | @skill(canonical=True, prompt="Generate a TypeScript codemod that converts types from `Array<T>` to `T[]`. The codemod should iterate through all files in a codebase, checking each\nfunction's return type and parameters. If a return type or parameter type is of the form `Array<T>`, it should be transformed to `T[]`. En... | 5 | 1 | 15 | 1 | 8 | 6 | 6 | 0.64 | 2 | 2 | 2 | 0 | 1 | 0 | 1 | 32 | 21 | 3 | 11 | 9 | 8 | 7 | 10 | 6 | 8 | 6 | 5 | 4 | 6 |
326,984 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/convert_attribute_to_decorator/convert_attribute_to_decorator.py | canonical.convert_attribute_to_decorator.convert_attribute_to_decorator.ConvertAttributeToDecorator | from codemods.codemod import Codemod
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.skill import Skill
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.decorators import skill, skill_imp... | @skill(canonical=True, prompt="Generate a Python codemod that transforms class attributes initializing specific Session objects into decorators. The codemod should iterate through\nall classes in a codebase, check for attributes with values 'NullSession' or 'SecureCookieSession', import the corresponding decorators, ad... | 5 | 1 | 22 | 2 | 15 | 5 | 5 | 0.94 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 43 | 8 | 18 | 9 | 15 | 17 | 14 | 8 | 12 | 5 | 5 | 3 | 5 |
326,985 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/convert_comments_to_JSDoc_style/convert_comments_to_JSDoc_style.py | canonical.convert_comments_to_JSDoc_style.convert_comments_to_JSDoc_style.ConvertCommentsToJSDocStyle | from tests.shared.skills.skill import Skill
from tests.shared.skills.decorators import skill, skill_impl
from codemods.codemod import Codemod
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonica... | @skill(canonical=True, prompt="Generate a codemod that converts comments on exported functions and classes in a TypeScript codebase to JSDoc style. The codemod should iterate\nthrough all functions and classes, check if they are exported, and if they lack docstrings. If comments are present and do not contain 'eslint',... | 5 | 1 | 17 | 0 | 9 | 8 | 6 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 28 | 4 | 12 | 6 | 9 | 12 | 11 | 5 | 9 | 6 | 5 | 5 | 6 |
326,986 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/convert_docstring_to_google_style/convert_docstring_to_google_style.py | canonical.convert_docstring_to_google_style.convert_docstring_to_google_style.ConvertDocstringToGoogleStyle | from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from codemods.codemod import Codemod
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.skill import Skil... | @skill(canonical=True, prompt="Generate a Python codemod class named `ConvertDocstringToGoogleStyle` that inherits from `Codemod` and `Skill`. The class should have a docstring\nexplaining its purpose: converting docstrings of functions and classes to Google style if they aren't already. The `execute` method should ite... | 5 | 1 | 4 | 0 | 4 | 0 | 3 | 0.43 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 13 | 3 | 7 | 6 | 4 | 3 | 6 | 4 | 4 | 3 | 5 | 2 | 3 |
326,987 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/insert_arguments_to_decorator/insert_arguments_to_decorator.py | canonical.insert_arguments_to_decorator.insert_arguments_to_decorator.InsertArgumentsToDecorator | from tests.shared.skills.skill import Skill
from codemods.codemod import Codemod
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.codebase import Codebase
from graph_sitter.shared.enums.programming_language import ProgrammingLanguag... | @skill(canonical=True, prompt="Generate a Python codemod that iterates through a codebase, identifying all instances of the `@app.function` decorator. For each decorator, check if\nthe `cloud` and `region` arguments are present. If they are missing, append `cloud='aws'` and `region='us-east-1'` to the decorator's argum... | 5 | 1 | 15 | 0 | 9 | 6 | 7 | 1.08 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 29 | 4 | 12 | 7 | 9 | 13 | 11 | 6 | 9 | 7 | 5 | 5 | 7 |
326,988 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/invite_factory_create_params/invite_factory_create_params.py | canonical.invite_factory_create_params.invite_factory_create_params.InviteFactoryCreateParams | from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.writer_decorators import canonical
from graph_sitter.core.codebase import Codebase
from tests.shared.skills.decorators import skill, skill_impl
from tests.shared.skills.skill import Skill
from graph_sitter.core.detached_sym... | @skill(canonical=True, prompt="Generate a Python codemod that updates calls to `InviteFactory.create`, `InviteFactory.build`, and `InviteFactory(...)` to use the `invitee` parameter\ninstead of `invitee_id`, `invitee['email']`, or `invitee.id`. The codemod should iterate through all files in a codebase, find the releva... | 5 | 1 | 34 | 4 | 19 | 12 | 7 | 0.86 | 2 | 2 | 2 | 0 | 1 | 0 | 1 | 32 | 51 | 11 | 22 | 10 | 19 | 19 | 19 | 9 | 17 | 7 | 5 | 4 | 7 |
326,989 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/mark_is_boolean/mark_is_boolean.py | canonical.mark_is_boolean.mark_is_boolean.MarkIsBoolean | from tests.shared.skills.decorators import skill, skill_impl
from codemods.codemod import Codemod
from tests.shared.skills.skill import Skill
from graph_sitter.writer_decorators import canonical
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.core.codebase import Codebas... | @skill(canonical=True, prompt="Generate a TypeScript codemod that renames function parameters of boolean type that do not start with 'is'. The codemod should iterate through all\nfiles in a codebase, check each function's parameters, and if a parameter is boolean and does not start with 'is', it should be renamed to st... | 5 | 1 | 20 | 0 | 12 | 8 | 8 | 0.73 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 29 | 3 | 15 | 10 | 12 | 11 | 14 | 9 | 12 | 8 | 5 | 7 | 8 |
326,990 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/pascal_case_symbols/pascal_case_symbols.py | canonical.pascal_case_symbols.pascal_case_symbols.PascalCaseSymbols | from tests.shared.skills.skill import Skill
from graph_sitter.core.class_definition import Class
from codemods.codemod import Codemod
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.core.interface import Interface
from graph_sitter.writer_decorators import canonical
from graph_sitter.core... | @skill(canonical=True, prompt="Generate a TypeScript codemod that converts all Classes, Interfaces, and Types in a codebase to PascalCase. The codemod should iterate through all\nsymbols in the codebase, check if each symbol is a Class, Interface, or Type using the `isinstance` function, and if the symbol's name is not... | 5 | 1 | 11 | 0 | 6 | 5 | 4 | 1 | 2 | 4 | 4 | 0 | 1 | 0 | 1 | 32 | 21 | 3 | 9 | 6 | 6 | 9 | 8 | 5 | 6 | 4 | 5 | 3 | 4 |
326,991 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/pivot_return_types/pivot_return_types.py | canonical.pivot_return_types.pivot_return_types.PivotReturnTypes | from graph_sitter.writer_decorators import canonical
from codemods.codemod import Codemod
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.skill import Skill
from graph_sitter.core.codebase import Codebase
from tests.shared.skills.decorators import skill, skill_imp... | @skill(canonical=True, prompt="Generate a Python codemod that transforms all functions returning a string type to return a custom FastStr type instead. The codemod should iterate\nthrough the codebase, check for functions with a return type of 'str', update the return type to 'FastStr', add the necessary import stateme... | 5 | 1 | 15 | 2 | 7 | 6 | 4 | 1.6 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 33 | 7 | 10 | 7 | 7 | 16 | 9 | 5 | 7 | 4 | 5 | 3 | 4 |
326,992 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/split_decorators/split_decorators.py | canonical.split_decorators.split_decorators.SplitDecorators | from codemods.codemod import Codemod
from graph_sitter.core.codebase import Codebase
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.decorators import skill, skill_impl
from tests.shared.skills.skill import Skil... | null | 5 | 1 | 13 | 1 | 9 | 3 | 4 | 1.42 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 36 | 7 | 12 | 9 | 9 | 17 | 11 | 8 | 9 | 4 | 5 | 3 | 4 |
326,993 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/swap_call_site_imports/swap_call_site_imports.py | canonical.swap_call_site_imports.swap_call_site_imports.SwapCallSiteImports | from graph_sitter.writer_decorators import canonical
from codemods.codemod import Codemod
from tests.shared.skills.decorators import skill, skill_impl
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from tests.shared.skills.skill import Skill
from graph_sitter.core.codebase import Codebas... | @skill(canonical=True, prompt="Generate a Python codemod that replaces all imports of a legacy function with its new replacement. The codemod should find all call sites of the\nlegacy function, update the import module to the new module, and handle the edge case where the legacy function is called within the same file ... | 5 | 1 | 20 | 4 | 10 | 6 | 4 | 1.62 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 45 | 11 | 13 | 8 | 10 | 21 | 12 | 7 | 10 | 4 | 5 | 2 | 4 |
326,994 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/update_optional_type_annotations/update_optional_type_annotations.py | canonical.update_optional_type_annotations.update_optional_type_annotations.UpdateOptionalTypeAnnotations | from tests.shared.skills.decorators import skill, skill_impl
from codemods.codemod import Codemod
from graph_sitter.core.expressions.generic_type import GenericType
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from graph_sitter.core.expressions import Type
from te... | @skill(canonical=True, prompt="Generate a Python codemod that updates type annotations in a codebase. The codemod should replace instances of 'Optional[X]' with 'X | None' and\nhandle other generic types and unions appropriately. Ensure that the codemod iterates through all files, processes functions and methods, check... | 6 | 1 | 18 | 1 | 15 | 3 | 6 | 0.43 | 2 | 4 | 3 | 0 | 1 | 0 | 1 | 32 | 36 | 3 | 23 | 9 | 19 | 10 | 21 | 8 | 18 | 7 | 5 | 6 | 12 |
326,995 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/codemods/canonical/update_union_types/update_union_types.py | canonical.update_union_types.update_union_types.UpdateUnionTypes | from codemods.codemod import Codemod
from graph_sitter.shared.enums.programming_language import ProgrammingLanguage
from graph_sitter.core.codebase import Codebase
from graph_sitter.writer_decorators import canonical
from tests.shared.skills.decorators import skill, skill_impl
from tests.shared.skills.skill import Skil... | @skill(canonical=True, prompt='Generate a Python codemod that updates type annotations from the old Union[x, y] syntax to the new x | y syntax for migration from Python 3.9 to\nPython 3.10. The codemod should iterate through all files in a codebase, check for imports of Union from typing, and replace occurrences of Uni... | 5 | 1 | 18 | 0 | 14 | 4 | 7 | 0.29 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 32 | 24 | 2 | 17 | 8 | 14 | 5 | 15 | 7 | 13 | 7 | 5 | 5 | 7 |
326,996 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/python/expressions/chained_attribute.py | chained_attribute.PyChainedAttribute | from typing import TYPE_CHECKING, Generic, TypeVar
from graph_sitter.core.expressions import Expression, Name
from graph_sitter.core.expressions.chained_attribute import ChainedAttribute
from graph_sitter.shared.decorators.docs import py_apidoc
@py_apidoc
class PyChainedAttribute(ChainedAttribute[Expression, Name, Par... | @py_apidoc
class PyChainedAttribute(ChainedAttribute[Expression, Name, Parent], Generic[Parent]):
'''Abstract representation of a python chained attribute.
This includes methods of python classes and module functions.
'''
def __init__(self, ts_node, file_node_id, ctx, parent: Parent):
pass | 3 | 1 | 2 | 0 | 2 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 19 | 7 | 1 | 3 | 2 | 1 | 3 | 3 | 2 | 1 | 1 | 4 | 0 | 1 |
326,997 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/typescript/expressions/chained_attribute.py | chained_attribute.TSChainedAttribute | from graph_sitter.core.detached_symbols.function_call import FunctionCall
from graph_sitter.shared.decorators.docs import ts_apidoc
from graph_sitter.core.expressions import Expression, Name
from graph_sitter.core.expressions.chained_attribute import ChainedAttribute
from typing import TYPE_CHECKING, Generic, TypeVar
f... | @ts_apidoc
class TSChainedAttribute(ChainedAttribute[Expression, Name, Parent], Generic[Parent]):
'''A TypeScript chained attribute class representing member access expressions.
This class handles the representation and analysis of chained attribute access expressions in TypeScript,
such as 'object.property... | 6 | 2 | 7 | 1 | 2 | 4 | 1 | 1.71 | 2 | 3 | 1 | 0 | 2 | 0 | 2 | 20 | 24 | 5 | 7 | 4 | 2 | 12 | 5 | 3 | 2 | 1 | 4 | 0 | 2 |
326,998 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/cli/errors.py | cli.errors.AuthError | class AuthError(Exception):
"""Error raised if authed user cannot be established."""
pass | class AuthError(Exception):
'''Error raised if authed user cannot be established.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 4 | 1 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 3 | 0 | 0 |
326,999 | codegen-sh/graph-sitter | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/codegen-sh_graph-sitter/src/graph_sitter/cli/errors.py | cli.errors.CodegenError | class CodegenError(Exception):
"""Base class for Codegen-specific errors."""
pass | class CodegenError(Exception):
'''Base class for Codegen-specific errors.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 4 | 1 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 3 | 0 | 0 |
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