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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/graph.py
core.steps.action_plan.srf.file_selection.graph.FileSelectionGraph
from pathlib import Path from deep_next.core.steps.action_plan.srf.list_dir import ls_dir from deep_next.core.steps.action_plan.srf.file_selection.analysis_model import Analysis, RelevantFile, analysis_parser, example_output_next_steps, example_output_select_files from langchain_core.runnables import RunnableConfig fro...
class FileSelectionGraph(BaseGraph): def __init__(self): pass def _build(self): pass def create_init_state(self, query: str, root_path: Path) -> State: pass def __call__(self, query: str, root_path: Path, print_conversations: bool=False) -> list[RelevantFile]: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/graph.py
core.steps.action_plan.srf.file_selection.graph.SelectFilesPrompt
import textwrap class SelectFilesPrompt: role_description = textwrap.dedent('\n You are an advanced codebase analysis agent designed to take action based on the current knowledge analysis provided to you. Your task is to decide whether to continue the investigation by using the provided tool...
class SelectFilesPrompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/graph.py
core.steps.action_plan.srf.file_selection.graph.State
from pathlib import Path import operator from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, SystemMessage from deep_next.core.steps.action_plan.srf.file_selection.analysis_model import Analysis, RelevantFile, analysis_parser, example_output_next_steps, example_output_select_files from typing impor...
class State(TypedDict): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/graph.py
core.steps.action_plan.srf.file_selection.graph._Node
import json from deep_next.core.steps.action_plan.srf.file_selection.utils import tools_to_json, validate_files from loguru import logger from langgraph.prebuilt import tools_condition from deep_next.common.llm import LLMConfigType, create_llm from deep_next.core.steps.action_plan.srf.file_selection.analysis_model impo...
class _Node: @staticmethod def analyze_knowledge(state: State) -> dict: ''' Analyze the knowledge and provide the next steps for the investigation. The analysis is based on the following pieces of information: - The issue statement, - The `_root_path_ls`, - The ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/tools/acr/search_tools.py
core.steps.action_plan.srf.file_selection.tools.acr.search_tools.SearchBackend
from deep_next.core.steps.action_plan.srf.file_selection.tools.acr.utils import catch_all_and_log, find_python_files, get_class_signature, get_code_region_containing_code, get_code_snippets, parse_python_file from functools import cache from collections import defaultdict, namedtuple class SearchBackend: def __in...
class SearchBackend: def __init__(self, project_path: str): pass def _build_index(self): ''' With all source code of the project, build two indexes: 1. From class name to (source file, start line, end line) 2. From function name to (source file, start line, end line) ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/file_selection/tools/acr/search_tools.py
core.steps.action_plan.srf.file_selection.tools.acr.search_tools.SearchResult
from dataclasses import dataclass from pathlib import Path @dataclass class SearchResult: """Dataclass to hold search results.""" file_path: str start: int | None end: int | None class_name: str | None func_name: str | None code: str @staticmethod def to_relative_path(file_path: st...
@dataclass class SearchResult: '''Dataclass to hold search results.''' @staticmethod def to_relative_path(file_path: str, project_root: str) -> str: '''Convert an absolute path to a path relative to the project root. Args: - file_path (str): The absolute path. - proje...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/graph.py
core.steps.action_plan.srf.graph.SRFError
class SRFError(Exception): """Raised when SRF fails to find any relevant files."""
class SRFError(Exception): '''Raised when SRF fails to find any relevant files.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/graph.py
core.steps.action_plan.srf.graph.SelectRelatedFilesGraph
from deep_next.core.config import SRFConfig from langgraph.graph import END from deep_next.core.base_graph import BaseGraph from pathlib import Path from langgraph.constants import START from deep_next.core.steps.action_plan.srf.file_selection.analysis_model import RelevantFile class SelectRelatedFilesGraph(BaseGraph)...
class SelectRelatedFilesGraph(BaseGraph): def __init__(self, n_cycles: int | None=None): pass def _add_independent_file_selection_nodes(self) -> None: pass def _add_independent_file_selection_nodes_edges(self, to_node) -> None: pass def _build(self): pass def cr...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/graph.py
core.steps.action_plan.srf.graph._Node
from deep_next.core.config import SRFConfig from deep_next.core.steps.action_plan.srf.file_selection.graph import file_selection_graph from langchain_core.runnables import RunnableConfig from loguru import logger class _Node: @staticmethod def single_file_selection_cycle(state: _State) -> dict: """ ...
class _Node: @staticmethod def single_file_selection_cycle(state: _State) -> dict: ''' Run a single cycle of file selection. This function is called multiple times in the SRF process and the unique results are combined at the end for lower variance. ''' ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srf/graph.py
core.steps.action_plan.srf.graph._State
import operator from deep_next.core.steps.action_plan.srf.file_selection.analysis_model import RelevantFile from pathlib import Path from typing import Annotated, TypedDict class _State(TypedDict): root_path: Path query: str _cycle_results: Annotated[list[RelevantFile], operator.add] _cycle_invalid_res...
class _State(TypedDict): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/_agentless.py
core.steps.action_plan.srs._agentless.CompressTransformer
import libcst as cst import libcst.matchers as m class CompressTransformer(cst.CSTTransformer): DESCRIPTION = str = 'Replaces function body with ...' replacement_string = '"__FUNC_BODY_REPLACEMENT_STRING__"' def __init__(self, keep_constant=True, keep_indent=False): self.keep_constant = keep_const...
class CompressTransformer(cst.CSTTransformer): def __init__(self, keep_constant=True, keep_indent=False): pass def leave_Module(self, original_node: cst.Module, updated_node: cst.Module) -> cst.Module: pass def leave_ClassDef(self, original_node: cst.ClassDef, updated_node: cst.ClassDef)...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/_agentless.py
core.steps.action_plan.srs._agentless.GlobalVariableVisitor
import libcst as cst import libcst.matchers as m class GlobalVariableVisitor(cst.CSTVisitor): METADATA_DEPENDENCIES = (cst.metadata.PositionProvider,) def __init__(self): self.global_assigns = [] def leave_Module(self, original_node: cst.Module): assigns = [] for stmt in original_...
class GlobalVariableVisitor(cst.CSTVisitor): def __init__(self): pass def leave_Module(self, original_node: cst.Module): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/_agentless.py
core.steps.action_plan.srs._agentless.GlobalVariableVisitorParsing
import libcst as cst class GlobalVariableVisitorParsing(cst.CSTVisitor): METADATA_DEPENDENCIES = (cst.metadata.PositionProvider,) def __init__(self): self.assigns = [] def leave_Assign(self, original_node: cst.Module): stmt = original_node start_pos = self.get_metadata(cst.metadat...
class GlobalVariableVisitorParsing(cst.CSTVisitor): def __init__(self): pass def leave_Assign(self, original_node: cst.Module): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/common.py
core.steps.action_plan.srs.common.ExistingCodeContext
from pydantic import BaseModel, Field class ExistingCodeContext(BaseModel): overview_description: str = Field(description='Overview of the code context') code_context: list[FileCodeContext] = Field(default_factory=list, description='Code context for localization') def dump(self) -> str: return '\n...
class ExistingCodeContext(BaseModel): def dump(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/common.py
core.steps.action_plan.srs.common.FileCodeContext
from pathlib import Path from pydantic import BaseModel, Field class FileCodeContext(BaseModel): path: Path = Field(description='Path to the file') reasoning: str = Field(description='Reasoning for the code context') localization_code_snippet: str = Field(description='Class, function, or line of code that ...
class FileCodeContext(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/graph.py
core.steps.action_plan.srs.graph.SelectRelatedSnippetsGraph
from deep_next.core.config import SRSConfig from langgraph.constants import START from pathlib import Path from langgraph.graph import END from deep_next.core.steps.action_plan.srs._agentless import create_structure, transfer_arb_locs_to_locs from deep_next.core.base_graph import BaseGraph class SelectRelatedSnippetsG...
class SelectRelatedSnippetsGraph(BaseGraph): def __init__(self): pass def _add_independent_snippets_selection_nodes(self) -> None: pass def _add_independent_snippets_selection_nodes_edges(self, to_node) -> None: pass def _build(self): pass def create_init_state(...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/graph.py
core.steps.action_plan.srs.graph._Node
from deep_next.core.steps.action_plan.srs.localize_lines import localize_line_from_coarse_function_locs from deep_next.core.steps.action_plan.srs.localize_function import localize_function_from_compressed_files from deep_next.core.config import SRSConfig from deep_next.core.steps.action_plan.srs._agentless import creat...
class _Node: @staticmethod def localize_function(state: _State) -> dict: '''Localize the function in the given file.''' pass @staticmethod def localize_lines(state: _State) -> dict: pass @staticmethod def combine_results(state: _State) -> dict: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/graph.py
core.steps.action_plan.srs.graph._State
from pathlib import Path from typing import Annotated, TypedDict class _State(TypedDict): problem_statement: str files: list[Path] structure: dict _localized_functions: Annotated[dict[str, str], _operator_merge_values_of_dict] 'A dict mapping file names to names of localized classes, methods, funct...
class _State(TypedDict): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/localize_function.py
core.steps.action_plan.srs.localize_function.Prompt
import textwrap class Prompt: file_content_in_block_template = textwrap.dedent('\n ### File: {file_name} ###\n ```python\n {file_content}\n ```\n ') get_relevant_classes_and_func_from_compressed_files_prompt = textwrap.dedent('\n Please look through the following Issue...
class Prompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/action_plan/srs/localize_lines.py
core.steps.action_plan.srs.localize_lines.Prompt
import textwrap class Prompt: obtain_relevant_code_combine_top_n_prompt = textwrap.dedent('\n Please review the following Issue Description and relevant files,\n and provide a set of locations that need to be edited to fix the issue.\n The locations can be specified as class names, function or...
class Prompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/graph.py
core.steps.code_review.graph.CodeReviewGraph
from deep_next.core.base_graph import BaseGraph from langgraph.graph import END, START from pathlib import Path class CodeReviewGraph(BaseGraph): """Implementation of "Develop Edits" step in LangGraph.""" def __init__(self): super().__init__(_State) def _build(self) -> None: self.add_quic...
class CodeReviewGraph(BaseGraph): '''Implementation of "Develop Edits" step in LangGraph.''' def __init__(self): pass def _build(self) -> None: pass def create_init_state(self, root_path: Path, issue_statement: str, project_knowledge: str, git_diff: str, include_code_fragments: bool=...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/graph.py
core.steps.code_review.graph.CodeReviewResult
from pydantic import BaseModel, Field class CodeReviewResult(BaseModel): issues: list[tuple[str, str]] = Field(default_factory=list, description='Code review issues found during the code review process.') completed: dict[str, bool] = Field(default_factory=dict, description='Code review completed status for eac...
class CodeReviewResult(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/graph.py
core.steps.code_review.graph._Node
from deep_next.core.io import read_txt from unidiff import PatchSet from deep_next.core.steps.code_review.review_code import review_code as _review_code from pathlib import Path class _Node: @staticmethod def select_code(state: _State) -> dict: modified_files_paths = [] for patch in PatchSet(s...
class _Node: @staticmethod def select_code(state: _State) -> dict: pass @staticmethod def review_code(state: _State) -> dict: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/graph.py
core.steps.code_review.graph._State
from pathlib import Path from pydantic import BaseModel, Field class _State(BaseModel): root_path: Path = Field(description='Path to the root project directory.') issue_statement: str = Field(description='The issue title and body.') project_knowledge: str = Field(description='Knowledge about the project, s...
class _State(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/model/base.py
core.steps.code_review.model.base.CodeReviewModel
from pydantic import BaseModel class CodeReviewModel(BaseModel): issues: list[str] 'Issues found in the code while performing code review.'
class CodeReviewModel(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/model/base.py
core.steps.code_review.model.base.CodeReviewer
from typing import NamedTuple from langchain.output_parsers import PydanticOutputParser class CodeReviewer(NamedTuple): name: str parser: PydanticOutputParser example_output: CodeReviewModel
class CodeReviewer(NamedTuple): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/model/code_style.py
core.steps.code_review.model.code_style.CodeStyleCodeReview
from deep_next.core.steps.code_review.model.base import CodeReviewer, CodeReviewModel from pydantic import Field class CodeStyleCodeReview(CodeReviewModel): issues: list[str] = Field(default_factory=list, description=_issues_desc)
class CodeStyleCodeReview(CodeReviewModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/model/diff_consistency.py
core.steps.code_review.model.diff_consistency.DiffConsistencyCodeReview
from deep_next.core.steps.code_review.model.base import CodeReviewer, CodeReviewModel from pydantic import Field class DiffConsistencyCodeReview(CodeReviewModel): issues: list[str] = Field(default_factory=list, description=_issues_desc)
class DiffConsistencyCodeReview(CodeReviewModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/code_review/review_code.py
core.steps.code_review.review_code.Prompt
import textwrap class Prompt: role_description = textwrap.dedent("\n You are one of many code reviewers. Your task is to review a merge request\n containing code changes. Focus only on fragments of code that are being impacted\n by the merge request. Don't bother looking at the rest of the cod...
class Prompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/graph.py
core.steps.gather_project_knowledge.graph.GatherProjectKnowledgeGraph
from langgraph.graph import END from deep_next.core.base_graph import BaseGraph from langgraph.constants import START from pathlib import Path class GatherProjectKnowledgeGraph(BaseGraph): """Graph to gather project knowledge.""" def __init__(self): super().__init__(_State) def _build(self) -> No...
class GatherProjectKnowledgeGraph(BaseGraph): '''Graph to gather project knowledge.''' def __init__(self): pass def _build(self) -> None: pass def create_init_state(self, root_path: Path) -> _State: pass def __call__(self, root_path: Path) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/graph.py
core.steps.gather_project_knowledge.graph._Node
import textwrap from deep_next.core.steps.gather_project_knowledge.project_description import gather_project_description_graph from deep_next.core.steps.gather_project_knowledge.project_map import tree class _Node: @staticmethod def create_project_map(state: _State) -> dict: project_map = tree(path=st...
class _Node: @staticmethod def create_project_map(state: _State) -> dict: pass @staticmethod def create_project_description(state: _State) -> dict: pass @staticmethod def parse_final_state(state: _State) -> dict: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/graph.py
core.steps.gather_project_knowledge.graph._State
from pydantic import BaseModel, Field from pathlib import Path class _State(BaseModel): root_path: Path = Field(description='Path to the root project directory.') project_description: str | None = Field(default=None, description='Natural language summary of the project structure and purpose.') project_map:...
class _State(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/data_model.py
core.steps.gather_project_knowledge.project_description.data_model.ExistingProjectDescriptionContext
from pydantic import BaseModel, Field class ExistingProjectDescriptionContext(BaseModel): overview_description: str = Field(default='', description='Overview of the project') project_description_context: list[ProjectDescriptionContext] = Field(default_factory=list, description='List of project description cont...
class ExistingProjectDescriptionContext(BaseModel): def to_str(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/data_model.py
core.steps.gather_project_knowledge.project_description.data_model.ExistingQuestionContext
from pydantic import BaseModel, Field class ExistingQuestionContext(BaseModel): overview_description: str = Field(default='', description='Overview description of the project') question_context: list[QuestionContext] = Field(default_factory=list, description='List of questions to the git repository') def ...
class ExistingQuestionContext(BaseModel): def dump(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/data_model.py
core.steps.gather_project_knowledge.project_description.data_model.ProjectDescriptionContext
from pydantic import BaseModel, Field class ProjectDescriptionContext(BaseModel): reasoning: str = Field(default='', description='Reasoning for the observation') key_observation: str = Field(default='', description='Key observation')
class ProjectDescriptionContext(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/data_model.py
core.steps.gather_project_knowledge.project_description.data_model.QuestionContext
from pydantic import BaseModel, Field class QuestionContext(BaseModel): reasoning: str = Field(default='', description='Reasoning for the question') question: str = Field(default='', description='Question to the git repository')
class QuestionContext(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/generate_project_description.py
core.steps.gather_project_knowledge.project_description.generate_project_description.Prompt
import textwrap class Prompt: task_description = textwrap.dedent('\n As a senior python developer that prepares documentation for newcomers to support onboarding process...\n\n Please analyze the key technical capabilities and characteristics of the "{project_name}" project based on given context.\n ...
class Prompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/generate_questions.py
core.steps.gather_project_knowledge.project_description.generate_questions.Prompt
import textwrap class Prompt: task_description = textwrap.dedent('\n As a senior python developer that prepares documentation for newcomers to support onboarding process...\n\n Please look through the following GitHub Problem Description for project "{project_name}".\n Provide questions to the...
class Prompt: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/graph.py
core.steps.gather_project_knowledge.project_description.graph.GatherProjectDescriptionGraph
from pathlib import Path from deep_next.core.base_graph import BaseGraph from langgraph.graph import END from deep_next.core.project_info import ProjectInfo, get_project_info from langgraph.constants import START class GatherProjectDescriptionGraph(BaseGraph): """Implementation of "Gather Project Description" step...
class GatherProjectDescriptionGraph(BaseGraph): '''Implementation of "Gather Project Description" step in LangGraph''' def __init__(self): pass def _build(self) -> None: pass def create_init_state(self, root_path: Path) -> _State: pass def __call__(self, root_path: Path)...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/graph.py
core.steps.gather_project_knowledge.project_description.graph._Node
from deep_next.core.steps.gather_project_knowledge.project_description.generate_project_description import generate_project_description from langchain_core.runnables import RunnableConfig from deep_next.core.steps.gather_project_knowledge.project_map import tree from pathlib import Path from deep_next.core.steps.gather...
class _Node: @staticmethod def generate_questions(state: _State) -> dict: pass @staticmethod def get_srf_context(state: _State) -> dict: pass @staticmethod def project_description(state: _State) -> dict: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/gather_project_knowledge/project_description/graph.py
core.steps.gather_project_knowledge.project_description.graph._State
from pathlib import Path from pydantic import BaseModel, Field from deep_next.core.project_info import ProjectInfo, get_project_info class _State(BaseModel): root_path: Path questions: str = Field(default='<MISSING>') related_files: list[Path] = Field(default_factory=list) project_info: ProjectInfo ...
class _State(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/acr.py
core.steps.implement.acr.Edit
from pprint import pformat from dataclasses import dataclass @dataclass class Edit: filename: str before: str after: str def __str__(self): return f'{self.filename}\nBefore:\n{pformat(self.before)}\nAfter:\n{pformat(self.after)}\n' def __repr__(self): return str(self)
@dataclass class Edit: def __str__(self): pass def __repr__(self): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/acr.py
core.steps.implement.acr.Writable
from typing import TextIO class Writable(TextIO): """dummy output stream for pylint""" def __init__(self) -> None: self.content: list[str] = [] def write(self, s: str) -> int: self.content.append(s) return len(s) def read(self, n: int=0) -> str: return '\n'.join(self....
class Writable(TextIO): '''dummy output stream for pylint''' def __init__(self) -> None: pass def write(self, s: str) -> int: pass def read(self, n: int=0) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/apply_patch/common.py
core.steps.implement.apply_patch.common.ApplyPatchError
class ApplyPatchError(Exception): pass
class ApplyPatchError(Exception): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/apply_patch/common.py
core.steps.implement.apply_patch.common.CodeMatch
from dataclasses import dataclass from rapidfuzz.distance import Levenshtein as levenshtein_distance @dataclass(frozen=True) class CodeMatch: start: int 'The index of the starting line of the best match.' end: int 'The index od the ending line of the best match.' distance: int 'The Levenshtein ...
@dataclass(frozen=True) class CodeMatch: @classmethod def from_text(cls, orig_text: str, start: int, end: int, ref_to_match: str) -> CodeMatch: '''Create a CodeFragment from the original text.''' pass def __lt__(self, other): pass def __le__(self, other): pass def...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/apply_patch/common.py
core.steps.implement.apply_patch.common.Frame
import numpy as np from scipy.stats import pearsonr class Frame: """ A frame represents a place in a code file and its similarity to a given code patch. A frame is defined by: - a start and end line of a code file, - lines between the start and end line that are similar to lines the code patch, ...
class Frame: ''' A frame represents a place in a code file and its similarity to a given code patch. A frame is defined by: - a start and end line of a code file, - lines between the start and end line that are similar to lines the code patch, - the coverage of lines in the code patch by the li...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/apply_patch/common.py
core.steps.implement.apply_patch.common.LineMatch
from dataclasses import dataclass @dataclass(frozen=True) class LineMatch: idx: int 'The index of the line in some file.' distance: int 'The Levenshtein distance between the line in some file and a reference line.' def __lt__(self, other): return self.distance < other.distance def __l...
@dataclass(frozen=True) class LineMatch: def __lt__(self, other): pass def __le__(self, other): pass def __gt__(self, other): pass def __ge__(self, other): pass def __eq__(self, other): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/apply_patch/common.py
core.steps.implement.apply_patch.common.RankingList
from sortedcontainers import SortedList class RankingList(SortedList): """ A sorted list that only keeps a given number of best values. The list is sorted in ascending order by default. The list can be configured to keep the best values in the list, either by keeping the smallest values or the largest...
class RankingList(SortedList): ''' A sorted list that only keeps a given number of best values. The list is sorted in ascending order by default. The list can be configured to keep the best values in the list, either by keeping the smallest values or the largest. The list can also be configured to ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/develop_patch.py
core.steps.implement.develop_patch.ParsePatchesError
class ParsePatchesError(Exception): """Raised for issues encountered during parse patches process."""
class ParsePatchesError(Exception): '''Raised for issues encountered during parse patches process.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/graph.py
core.steps.implement.graph.ImplementGraph
from deep_next.core.base_graph import BaseGraph from deep_next.core.steps.action_plan.data_model import ActionPlan, Step from langgraph.graph import END, START from pathlib import Path class ImplementGraph(BaseGraph): """Implementation of "Implement" step in LangGraph.""" def __init__(self): super()._...
class ImplementGraph(BaseGraph): '''Implementation of "Implement" step in LangGraph.''' def __init__(self): pass def _build(self) -> None: pass def create_init_state(self, root_path: Path, issue_statement: str, action_plan: ActionPlan) -> _State: pass def __call__(self, ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/graph.py
core.steps.implement.graph._Node
from deep_next.core.steps.implement.git_diff import generate_diff import tenacity from deep_next.core.steps.implement.develop_patch import ParsePatchesError, develop_all_patches, develop_single_file_patches, parse_and_apply_patches from deep_next.core.steps.implement.apply_patch.common import ApplyPatchError from deep_...
class _Node: @staticmethod def select_next_step(state: _State) -> dict: pass @staticmethod @tenacity.retry(stop=tenacity.stop_after_attempt(5), retry=tenacity.retry_if_exception_type((ApplyPatchError, ParsePatchesError, ValueError)), reraise=True) def code_development(state: _State) -> _St...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/graph.py
core.steps.implement.graph._State
from deep_next.core.steps.action_plan.data_model import ActionPlan, Step from pydantic import BaseModel, Field, model_validator from pathlib import Path from copy import deepcopy class _State(BaseModel): root_path: Path = Field(description='Path to the root project directory.') issue_statement: str = Field(des...
class _State(BaseModel): @model_validator(mode='after') def initialize_steps_remaining(self) -> '_State': pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/prompt_all_at_once_implemetation.py
core.steps.implement.prompt_all_at_once_implemetation.PromptAllAtOnceImplementation
import textwrap class PromptAllAtOnceImplementation: task_description = textwrap.dedent('\n You are a Senior Python Developer hired to contribute into an existing Python codebase.\n Your only responsibility is to write source code.\n\n Ensure that each piece of the code you modify integrates s...
class PromptAllAtOnceImplementation: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/prompt_single_file_implementation.py
core.steps.implement.prompt_single_file_implementation.PromptSingleFileImplementation
import textwrap class PromptSingleFileImplementation: task_description = textwrap.dedent("\n You are a Senior Python Developer hired to contribute into an existing Python codebase.\n Your only responsibility is to write source code.\n\n Ensure that each piece of the code you modify integrates ...
class PromptSingleFileImplementation: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/core/deep_next/core/steps/implement/utils.py
core.steps.implement.utils.CodePatch
from pathlib import Path from dataclasses import dataclass @dataclass class CodePatch: file_path: Path before: str after: str error_type: str | None = None diff: str = ''
@dataclass class CodePatch: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/git.py
git.BranchCheckoutError
class BranchCheckoutError(GitRepositoryError): """Branch checkout error."""
class BranchCheckoutError(GitRepositoryError): '''Branch checkout error.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/git.py
git.BranchExistsError
class BranchExistsError(GitRepositoryError): """Branch already exists error."""
class BranchExistsError(GitRepositoryError): '''Branch already exists error.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/git.py
git.FeatureBranch
from loguru import logger from contextlib import contextmanager class FeatureBranch: def __init__(self, name: str, git_repo: 'GitRepository'): self.name = name self._git_repo = git_repo self.repo_dir = git_repo.repo_dir def commit_all(self, commit_msg: str) -> None: logger.inf...
class FeatureBranch: def __init__(self, name: str, git_repo: 'GitRepository'): pass def commit_all(self, commit_msg: str) -> None: pass def push_to_remote(self) -> None: pass @contextmanager def create_changes(self, commit_msg: str): '''Context manager to create c...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/git.py
git.GitRepository
from loguru import logger from deep_next.common.cmd import RunCmdError, run_command import subprocess from pathlib import Path class GitRepository: def __init__(self, repo_dir: Path): self.repo_dir = repo_dir if not (repo_dir / '.git').exists(): raise ValueError(f"Provided invalid git ...
class GitRepository: def __init__(self, repo_dir: Path): pass def get_feature_branch(self, feature_branch: str) -> FeatureBranch: '''Get feature branch.''' pass def new_feature_branch(self, ref_branch: str, feature_branch: str) -> FeatureBranch: pass def _reset_and_c...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/git.py
git.GitRepositoryError
class GitRepositoryError(Exception): """Git repository error."""
class GitRepositoryError(Exception): '''Git repository error.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/handle_mr/hitl.py
handle_mr.hitl.ActionPlanParserError
class ActionPlanParserError(Exception): """Action plan parser error."""
class ActionPlanParserError(Exception): '''Action plan parser error.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/handle_mr/hitl.py
handle_mr.hitl._State
from enum import Enum, auto class _State(Enum): ACTION_PLAN_PROPOSITION_REQUEST = auto() AWAITING_HUMAN_FEEDBACK = auto() ACTION_PLAN_INVALID_FORMAT = auto() ACTION_PLAN_FIX_REQUEST = auto() ACTION_PLAN_IMPLEMENTATION_REQUEST = auto()
class _State(Enum): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/common/deep_next/common/llm.py
llm.LLMConfig
from pydantic import BaseModel import yaml from deep_next.common.config import MONOREPO_ROOT_PATH class LLMConfig(BaseModel): model: Model seed: int | None temperature: float | None config: dict | None = None @classmethod def load(cls, config_type: LLMConfigType=LLMConfigType.DEFAULT) -> LLMCo...
class LLMConfig(BaseModel): @classmethod def load(cls, config_type: LLMConfigType=LLMConfigType.DEFAULT) -> LLMConfig: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/common/deep_next/common/llm.py
llm.LLMConfigType
from enum import Enum class LLMConfigType(str, Enum): PROJECT_KNOWLEDGE = 'project-knowledge' ACTION_PLAN = 'action-plan' SRF_ANALYZE = 'srf-analyze' SRF_TOOLS = 'srf-tools' SRS_ANALYZE = 'srs-analyze' IMPLEMENT = 'implement' CODE_REVIEW = 'code-review' DEFAULT = 'default'
class LLMConfigType(str, Enum): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/common/deep_next/common/llm.py
llm.Model
from enum import Enum class Model(str, Enum): AWS_CLAUDE_3_5_SONNET_20240620_V1_0 = 'anthropic.claude-3-5-sonnet-20240620-v1:0' AWS_CLAUDE_3_7_SONNET_20240620_V1_0 = 'anthropic.claude-3-7-sonnet-20250219-v1:0' AWS_DEEPSEEK_R1_v1_0 = 'us.deepseek.r1-v1:0' AWS_MISTRAL_7B_INSTRUCT_V0_2 = 'mistral.mistral-...
class Model(str, Enum): @property def provider(self) -> Provider: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/common/deep_next/common/llm.py
llm.Provider
from enum import Enum class Provider(str, Enum): BEDROCK = 'aws-bedrock' OPENAI = 'openai' OLLAMA = 'ollama'
class Provider(str, Enum): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/common/deep_next/common/llm.py
llm._ChatBedrock
from langchain_core.language_models import BaseChatModel, LanguageModelInput from langchain_aws import ChatBedrock from typing import Any, Callable, Iterable, Optional from langchain_core.runnables import RunnableConfig from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage, ToolMessage...
class _ChatBedrock(ChatBedrock): @staticmethod def _align_input_system_to_human(messages: Iterable) -> list: pass @staticmethod def _align_input_tool_to_human(messages: Iterable) -> list: pass @staticmethod def _remove_tool_calls_from_ai(messages: Iterable, trim_empty: bool=Tru...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/slack.py
slack.SlackConnector
from slack_sdk.errors import SlackApiError from slack_sdk import WebClient import os from loguru import logger class SlackConnector: def __init__(self, token: str | None=None, channel: str | None=None) -> None: """Initializes Slack connector. Parameters: token: Slack bot token. ...
class SlackConnector: def __init__(self, token: str | None=None, channel: str | None=None) -> None: '''Initializes Slack connector. Parameters: token: Slack bot token. channel: Slack channel ID or name. ''' pass def post(self, message: str) -> None: ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/slack.py
slack.SlackConnectorError
class SlackConnectorError(Exception): """Custom exception for SlackConnector"""
class SlackConnectorError(Exception): '''Custom exception for SlackConnector''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/vcs_config.py
vcs_config.EnvVars
class EnvVars: VCS = 'VCS_PROVIDER' ACCESS_TOKEN = 'VCS_ACCESS_TOKEN' REPO_PATH = 'VCS_REPO_PATH' BASE_URL = 'VCS_BASE_URL'
class EnvVars: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/vcs_config.py
vcs_config.GitHubConfig
from typing import Literal class GitHubConfig(VCSConfig): vcs: Literal['github'] = 'github' @property def clone_url(self) -> str: return f'https://{self.access_token}@github.com/{self.repo_path}.git'
class GitHubConfig(VCSConfig): @property def clone_url(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/vcs_config.py
vcs_config.GitLabConfig
from typing import Literal from pydantic import BaseModel, Field class GitLabConfig(VCSConfig): vcs: Literal['gitlab'] = 'gitlab' base_url: str = Field(default='gitlab.com', description='GitLab instance base URL') @property def clone_url(self) -> str: return f'https://gitlab-ci-token:{self.acc...
class GitLabConfig(VCSConfig): @property def clone_url(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/apps/app/deep_next/app/vcs_config.py
vcs_config.VCSConfig
from abc import ABC, abstractmethod from pydantic import BaseModel, Field from typing import Literal class VCSConfig(BaseModel, ABC): vcs: Literal['github', 'gitlab'] = Field(description='Version control system') access_token: str = Field(description='Access token for the VCS') repo_path: str = Field(descr...
class VCSConfig(BaseModel, ABC): @property @abstractmethod def clone_url(self) -> str: '''Abstract property for clone URL.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/base.py
version_control_provider.base.BaseComment
from abc import ABC, abstractmethod class BaseComment(ABC): @property @abstractmethod def body(self) -> str: """Returns the body of the comment.""" @abstractmethod def edit(self, body: str) -> None: """Edit the comment.""" @abstractmethod def author(self) -> str: ...
class BaseComment(ABC): @property @abstractmethod def body(self) -> str: '''Returns the body of the comment.''' pass @abstractmethod def edit(self, body: str) -> None: '''Edit the comment.''' pass @abstractmethod def author(self) -> str: '''Returns t...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/base.py
version_control_provider.base.BaseConnector
from abc import ABC, abstractmethod from enum import Enum from deep_next.app.config import Label class BaseConnector(ABC): @abstractmethod def list_issues(self, label: str | Enum | None=None) -> list[BaseIssue]: """Fetches all issues""" @abstractmethod def get_issue(self, issue_no: int) -> Ba...
class BaseConnector(ABC): @abstractmethod def list_issues(self, label: str | Enum | None=None) -> list[BaseIssue]: '''Fetches all issues''' pass @abstractmethod def get_issue(self, issue_no: int) -> BaseIssue: '''Fetches a single issue.''' pass @abstractmethod d...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/base.py
version_control_provider.base.BaseIssue
from datetime import datetime from deep_next.connectors.version_control_provider.utils import label_to_str from enum import Enum from abc import ABC, abstractmethod class BaseIssue(ABC): @property @abstractmethod def url(self) -> str: """""" @property @abstractmethod def labels(self) ...
class BaseIssue(ABC): @property @abstractmethod def url(self) -> str: '''''' pass @property @abstractmethod def labels(self) -> list[str]: '''''' pass @property @abstractmethod def no(self) -> int: '''''' pass @property @abstr...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/base.py
version_control_provider.base.BaseMR
from abc import ABC, abstractmethod from deep_next.app.config import Label class BaseMR(ABC): @property @abstractmethod def related_issue(self) -> BaseIssue | None: """Returns the issue related to the MR, if any.""" @property @abstractmethod def source_branch_name(self) -> str: ...
class BaseMR(ABC): @property @abstractmethod def related_issue(self) -> BaseIssue | None: '''Returns the issue related to the MR, if any.''' pass @property @abstractmethod def source_branch_name(self) -> str: '''Returns the source branch of the MR.''' pass @...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/base.py
version_control_provider.base.CodeReviewCommentThread
from pydantic import BaseModel class CodeReviewCommentThread(BaseModel): thread_id: int file_path: str code_lines: str comments: list[str]
class CodeReviewCommentThread(BaseModel): pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/github_vcs.py
version_control_provider.github_vcs.GitHubComment
from github.IssueComment import IssueComment from deep_next.connectors.version_control_provider.base import BaseComment, BaseConnector, BaseIssue, BaseMR, CodeReviewCommentThread class GitHubComment(BaseComment): def __init__(self, comment: IssueComment): self._comment = comment @property def bod...
class GitHubComment(BaseComment): def __init__(self, comment: IssueComment): pass @property def body(self) -> str: pass def edit(self, body: str) -> None: pass @property def author(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/github_vcs.py
version_control_provider.github_vcs.GitHubConnector
from github.GithubException import UnknownObjectException from typing import List import re from deep_next.app.config import Label from deep_next.connectors.version_control_provider.utils import label_to_str from github.Repository import Repository from github import Github from loguru import logger from github.PullReq...
class GitHubConnector(BaseConnector): def __init__(self, *_, token: str, repo_name: str): pass def list_issues(self, label: str | Enum | None=None) -> List[GitHubIssue]: pass def get_issue(self, issue_no: int) -> GitHubIssue: pass def _has_label(self, raw_mr: PullRequest, la...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/github_vcs.py
version_control_provider.github_vcs.GitHubIssue
from deep_next.connectors.version_control_provider.base import BaseComment, BaseConnector, BaseIssue, BaseMR, CodeReviewCommentThread from deep_next.connectors.version_control_provider.utils import label_to_str from github.IssueComment import IssueComment from loguru import logger from deep_next.app.common import forma...
class GitHubIssue(BaseIssue): def __init__(self, issue: Issue): pass @property def url(self) -> str: pass @property def labels(self) -> list[str]: pass @property def no(self) -> int: pass @property def title(self) -> str: pass @property ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/github_vcs.py
version_control_provider.github_vcs.GitHubMR
from collections import defaultdict from deep_next.connectors.version_control_provider.utils import label_to_str from deep_next.app.common import format_comment_with_header from deep_next.connectors.version_control_provider.base import BaseComment, BaseConnector, BaseIssue, BaseMR, CodeReviewCommentThread from deep_nex...
class GitHubMR(BaseMR): def __init__(self, pr: PullRequest, related_issue: GitHubIssue): pass @property def related_issue(self) -> GitHubIssue: '''Returns the related issue if exists.''' pass @property def source_branch_name(self) -> str: pass @property def ...
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.GitLabComment
from deep_next.connectors.version_control_provider.base import BaseComment, BaseConnector, BaseIssue, BaseMR from gitlab.v4.objects.discussions import ProjectIssueDiscussion class GitLabComment(BaseComment): def __init__(self, comment: ProjectIssueDiscussion): self._comment = comment @property de...
class GitLabComment(BaseComment): def __init__(self, comment: ProjectIssueDiscussion): pass @property def body(self) -> str: pass def edit(self, body: str) -> None: pass @property def author(self) -> str: pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.GitLabConnector
from loguru import logger from enum import Enum from gitlab.v4.objects.issues import ProjectIssue from deep_next.connectors.version_control_provider.utils import label_to_str from gitlab.v4.objects.merge_requests import ProjectMergeRequest import gitlab from deep_next.connectors.version_control_provider.base import Bas...
class GitLabConnector(BaseConnector): def __init__(self, *_, access_token: str, repo_name: str, base_url: str): '''Create connection with GitLab project.''' pass def list_issues(self, label: str | Enum | None=None) -> list[GitLabIssue]: '''Fetches all issues''' pass def g...
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325,584
stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.GitLabConnectorError
class GitLabConnectorError(Exception): """Generic GitLab connector error."""
class GitLabConnectorError(Exception): '''Generic GitLab connector error.''' pass
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stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.GitLabIssue
from deep_next.app.common import format_comment_with_header from gitlab.v4.objects.discussions import ProjectIssueDiscussion from enum import Enum from deep_next.connectors.version_control_provider.utils import label_to_str from loguru import logger from deep_next.connectors.version_control_provider.base import BaseCom...
class GitLabIssue(BaseIssue): def __init__(self, issue: ProjectIssue): pass @property def url(self) -> str: pass @property def labels(self) -> list[str]: pass @property def no(self) -> int: pass @property def title(self) -> str: pass @pro...
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325,586
stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.GitLabMR
from deep_next.app.config import Label from gitlab.v4.objects.merge_requests import ProjectMergeRequest from deep_next.connectors.version_control_provider.base import BaseComment, BaseConnector, BaseIssue, BaseMR from deep_next.connectors.version_control_provider.utils import label_to_str from deep_next.app.common impo...
class GitLabMR(BaseMR): def __init__(self, mr: ProjectMergeRequest): pass @property def source_branch_name(self) -> str: pass @property def target_branch_name(self) -> str: pass @property def url(self) -> str: pass @property def no(self) -> int: ...
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325,587
stxnext/deep-next
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/stxnext_deep-next/libs/connectors/deep_next/connectors/version_control_provider/gitlab_vcs.py
version_control_provider.gitlab_vcs.ResourceNotFoundError
class ResourceNotFoundError(GitLabConnectorError): """Resource not found error."""
class ResourceNotFoundError(GitLabConnectorError): '''Resource not found error.''' pass
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325,588
HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/commands/download.py
hcli.commands.download.BackNavigationResult
class BackNavigationResult: """Special result class to indicate backspace navigation.""" pass
class BackNavigationResult: '''Special result class to indicate backspace navigation.''' pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/env.py
hcli.env.ENV
import os from . import __version__ class ENV: """Environment configuration mirroring the Deno version.""" HCLI_API_KEY: str | None = os.getenv('HCLI_API_KEY') HCLI_DEBUG: bool = os.getenv('HCLI_DEBUG', '').lower() in ('true', 'yes', 'on', '1') HCLI_API_URL: str = os.getenv('HCLI_API_URL', 'https://api...
class ENV: '''Environment configuration mirroring the Deno version.''' pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.Asset
from pydantic import BaseModel class Asset(BaseModel): email: str | None = None filename: str size: int = 0 key: str code: str | None = None created_at: str | None = None expires_at: str | None = None url: str | None = None version: int = 0 metadata: dict | None = None
class Asset(BaseModel): pass
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325,591
HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.AssetAPI
import hashlib from .common import get_api_client import httpx from pathlib import Path from hcli.env import ENV class AssetAPI: """File sharing API client.""" async def get_bucket(self, bucket: str): client = await get_api_client() data = await client.get_json(f'/api/assets/buckets/{bucket}')...
class AssetAPI: '''File sharing API client.''' async def get_bucket(self, bucket: str): pass async def upload_asset(self, bucket: str, file_path: str, allowed_segments: list[str] | None=None, allowed_emails: list[str] | None=None, metadata: dict | None=None, force: bool=False, code: str | None=None) ...
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325,592
HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.Bucket
from pydantic import BaseModel class Bucket(BaseModel): filename: str metadata: Metadata requiredMetadata: dict[str, RequiredField]
class Bucket(BaseModel): pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.Metadata
from pydantic import BaseModel class Metadata(BaseModel): name: str
class Metadata(BaseModel): pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.PagedAsset
from pydantic import BaseModel class PagedAsset(BaseModel): """Paged response wrapper.""" offset: int limit: int total: int items: list[Asset]
class PagedAsset(BaseModel): '''Paged response wrapper.''' pass
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325,595
HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.PagingFilter
from pydantic import BaseModel class PagingFilter(BaseModel): """Paging filter parameters.""" limit: int | None = 1000 offset: int | None = 0
class PagingFilter(BaseModel): '''Paging filter parameters.''' pass
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325,596
HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.RequiredField
from pydantic import BaseModel class RequiredField(BaseModel): description: str example: str
class RequiredField(BaseModel): pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.TreeNode
from pydantic import BaseModel class TreeNode(BaseModel): name: str type: str = 'file' children: 'list[TreeNode] | None' = None asset: Asset
class TreeNode(BaseModel): pass
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/asset.py
hcli.lib.api.asset.UploadResponse
from pydantic import BaseModel class UploadResponse(BaseModel): """Upload response.""" bucket: str key: str version: int code: str url: str download_url: str
class UploadResponse(BaseModel): '''Upload response.''' pass
1
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HexRaysSA/ida-hcli
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/HexRaysSA_ida-hcli/src/hcli/lib/api/auth.py
hcli.lib.api.auth.AuthAPI
from .common import get_api_client class AuthAPI: """Authentication API client.""" async def whoami(self) -> AuthUser: """Get current user information.""" client = await get_api_client() data = await client.get_json('/api/whoami') return AuthUser(**data)
class AuthAPI: '''Authentication API client.''' async def whoami(self) -> AuthUser: '''Get current user information.''' pass
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