Datasets:

s0duku
/

the-stack-go

"""End-to-end DeepSeek-style repository training sample construction."""

from __future__ import annotations

import hashlib
import math
from collections import OrderedDict, deque
from typing import Callable

from .content import normalized_path, training_content
from .graph import dependency_components
from .model import (
    BEGIN_FILE,
    BEGIN_FILE_NAME,
    BEGIN_REPO_NAME,
    END_FILE,
    END_FILE_NAME,
    END_REPO_NAME,
    BuildConfig,
    Sample,
    SampleFile,
)
from .repo import Repo, RepoFile, RepoInfo, scan
from .tokenizer import load_tokenizer


TokenCounter = Callable[[str], int]


class _Counter:
    def __init__(self, tokenizer=None, utf8_bytes_per_token: float = 3.0):
        self.tokenizer = tokenizer
        self.utf8_bytes_per_token = utf8_bytes_per_token
        self.mode = (f"utf8_estimate_{utf8_bytes_per_token:g}bytes_per_token"
                     if tokenizer is None else "tokens")
        self._cache: OrderedDict[str, int] = OrderedDict()

    def __call__(self, text: str) -> int:
        if text in self._cache:
            self._cache.move_to_end(text)
            return self._cache[text]
        if self.tokenizer is None:
            byte_count = len(text.encode("utf-8"))
            value = math.ceil(byte_count / self.utf8_bytes_per_token)
        else:
            encode = getattr(self.tokenizer, "encode", None)
            if encode is not None:
                try:
                    value = len(encode(text, add_special_tokens=False))
                except TypeError:
                    try:
                        value = len(encode(text, disallowed_special=()))
                    except TypeError:
                        value = len(encode(text))
            elif callable(self.tokenizer):
                result = self.tokenizer(text)
                value = result if isinstance(result, int) else len(result)
            else:
                raise TypeError("tokenizer must be callable or provide encode()")
        self._cache[text] = value
        if len(self._cache) > 128:
            self._cache.popitem(last=False)
        return value


def build_samples(repo: Repo, *, config: BuildConfig | None = None, tokenizer=None,
                  info: RepoInfo | None = None,
                  use_treesitter: bool = True) -> tuple[Sample, ...]:
    """Analyze ``repo`` and return deterministic, budgeted training samples."""
    config = config or BuildConfig()
    tokenizer = tokenizer or load_tokenizer()
    counter = _Counter(tokenizer, config.utf8_bytes_per_token)
    repo_files = tuple(repo.iter_files())
    snapshot = Repo(repo.repo_id, repo.revision_id, repo_files)
    info = info or scan(
        snapshot, include_weak=config.include_weak_edges,
        use_treesitter=use_treesitter,
    )
    files = {normalized_path(file.path): file for file in repo_files}
    if len(files) != len(repo_files):
        raise ValueError("Repo contains duplicate normalized file paths")
    if set(files) != {file.path for file in info.files}:
        raise ValueError("RepoInfo does not describe the supplied Repo snapshot")

    rendered = {
        path: training_content(file, config)
        for path, file in files.items()
    }
    samples = _dependency_samples(snapshot, info, rendered, config, counter)
    if config.target_context:
        samples.extend(_target_context_samples(snapshot, info, rendered, config, counter, samples))
    return tuple(samples)


def _repository_header(repo: Repo) -> str:
    return f"{BEGIN_REPO_NAME}{repo.repo_id}{END_REPO_NAME}\n"


def _file_block(path: str, content: str, policy: str, role: str, *, part: int = 1,
                parts: int = 1) -> str:
    suffix = f" (part {part}/{parts})" if parts > 1 else ""
    lines = [f"{BEGIN_FILE_NAME}{path}{suffix}{END_FILE_NAME}", BEGIN_FILE]
    if content:
        lines.append(content.rstrip())
    lines.append(END_FILE)
    return "\n".join(lines) + "\n"


def _chunks(path: str, content: str, policy: str, role: str, language: str | None,
            budget: int, counter: TokenCounter) -> tuple[str, ...]:
    if not content:
        return ("",)
    # Avoid sending multi-megabyte source files through the tokenizer several
    # times. Besides being quadratic in the old binary search, concurrent huge
    # encodes can exhaust system memory. Normal files still take the fast path.
    max_candidate_chars = 262_144
    if (len(content) <= max_candidate_chars
            and counter(_file_block(path, content, policy, role)) <= budget):
        return (content,)
    # Splitting adds a part=i/n descriptor. Reserve its worst practical width
    # while finding boundaries so the final rendered blocks remain in budget.
    def split_block(value: str) -> str:
        return _file_block(path, value, policy, role, part=999_999, parts=999_999)

    units: list[str] = []
    unit_chars = 16_384
    for line in content.splitlines(keepends=True):
        units.extend(line[start:start + unit_chars] for start in range(0, len(line), unit_chars))
    if not units and content:
        units = [content]
    def exact_split(parts: list[str]) -> list[str]:
        chunks: list[str] = []
        current = ""
        for unit in parts:
            candidate = current + unit
            if (len(candidate) <= max_candidate_chars
                    and counter(split_block(candidate)) <= budget):
                current = candidate
                continue
            if current:
                chunks.append(current)
                current = ""
            while unit:
                if counter(split_block(unit)) <= budget:
                    current = unit
                    break
                lo, hi, chars = 1, len(unit), 0
                while lo <= hi:
                    middle = (lo + hi) // 2
                    if counter(split_block(unit[:middle])) <= budget:
                        chars = middle
                        lo = middle + 1
                    else:
                        hi = middle - 1
                if not chars:
                    raise ValueError(f"max_tokens is too small for file metadata: {path}")
                chunks.append(unit[:chars])
                unit = unit[chars:]
        if current:
            chunks.append(current)
        return chunks

    chunks: list[str] = []
    start = 0
    while start < len(units):
        # Find the largest exact unit prefix that fits. This preserves the old
        # greedy boundaries while replacing O(units) repeated encodes with
        # O(log units) encodes per output chunk.
        low, high, best = 1, len(units) - start, 0
        while low <= high:
            middle = (low + high) // 2
            candidate = "".join(units[start:start + middle])
            if (len(candidate) <= max_candidate_chars
                    and counter(split_block(candidate)) <= budget):
                best = middle
                low = middle + 1
            else:
                high = middle - 1
        if best:
            chunks.append("".join(units[start:start + best]))
            start += best
            continue
        chunks.extend(exact_split([units[start]]))
        start += 1
    return tuple(chunks)


def _dependency_samples(repo, info, rendered, config, counter) -> list[Sample]:
    samples: list[Sample] = []
    language_by_path = {file.path: file.language for file in info.files}
    components = dependency_components(info)
    linked = [component for component in components if len(component) > 1]
    isolated_set = {component[0] for component in components if len(component) == 1}
    isolated = tuple(path for path in info.topological_order if path in isolated_set)
    groups = linked + ([isolated] if isolated else [])
    header = _repository_header(repo)
    header_tokens = counter(header)
    file_budget = config.max_tokens - header_tokens
    if file_budget < 1:
        raise ValueError("max_tokens is too small for repository metadata")
    if config.max_file_tokens is not None:
        file_budget = min(file_budget, config.max_file_tokens)
    for component_index, component in enumerate(groups):
        entries: list[tuple[str, str, str, str, str | None, int, int]] = []
        for path in component:
            content, policy, role = rendered[path]
            language = language_by_path[path]
            parts = _chunks(path, content, policy, role, language, file_budget, counter)
            entries.extend((path, part, policy, role, language, index, len(parts))
                           for index, part in enumerate(parts, 1))

        pack: list[tuple[str, str, str, str, str | None, int, int]] = []
        pack_text = ""
        used = 0

        def flush() -> None:
            nonlocal pack, pack_text, used
            text = header + pack_text
            token_count = counter(text)
            if token_count > config.max_tokens:
                raise ValueError(
                    f"dependency sample exceeds max_tokens for {repo.repo_id}: {token_count}"
                )
            sample = _make_dependency(
                repo, info, samples, pack, component_index, counter,
                text=text, token_count=token_count,
            )
            if sample.token_count >= config.min_tokens:
                samples.append(sample)
            pack, pack_text, used = [], "", 0

        for entry in entries:
            block = _file_block(entry[0], entry[1], entry[2], entry[3],
                                part=entry[5], parts=entry[6])
            cost = counter(block)
            if pack and header_tokens + used + cost > config.max_tokens:
                flush()
            pack.append(entry)
            pack_text += block
            used += cost
            if header_tokens + cost > config.max_tokens:
                raise ValueError(f"file block exceeds max_tokens: {entry[0]}")
        if pack:
            flush()
    return samples


def _make_dependency(repo, info, existing, entries, component_index, counter, *,
                     text: str | None = None, token_count: int | None = None) -> Sample:
    text = text if text is not None else _repository_header(repo) + "".join(
        _file_block(path, content, policy, role, part=part, parts=parts)
        for path, content, policy, role, language, part, parts in entries
    )
    language_by_path = {file.path: file.language for file in info.files}
    provenance = tuple(SampleFile(
        path=path, relation="component", content_policy=policy,
        role=role, language=language_by_path[path], bytes=len(content.encode("utf-8")),
        part=part, parts=parts,
    ) for path, content, policy, role, language, part, parts in entries)
    return Sample(
        sample_id=_sample_id(repo, "dependency", len(existing), tuple(x[0] for x in entries)),
        repo_id=repo.repo_id, revision_id=repo.revision_id, kind="dependency", text=text,
        files=provenance, token_count=token_count if token_count is not None else counter(text),
        metadata={"component": component_index, "counter": counter.mode},
    )


def _target_candidates(repo, info, rendered, config) -> tuple[str, ...]:
    """Choose stable, broadly distributed source targets without graph ranking."""
    roles = {path: value[2] for path, value in rendered.items()}
    language = {file.path: file.language for file in info.files}
    candidates = [
        path for path in info.topological_order
        if roles.get(path) == "source"
        and language.get(path)
        and rendered[path][0]
        and rendered[path][1] != "metadata_only"
    ]
    if len(candidates) <= config.max_targets_per_repo:
        return tuple(candidates)
    ranked = sorted(
        candidates,
        key=lambda path: hashlib.sha1(
            f"{repo.repo_id}\0{repo.revision_id}\0target\0{path}".encode()
        ).digest(),
    )
    selected = set(ranked[:config.max_targets_per_repo])
    return tuple(path for path in info.topological_order if path in selected)


def _target_dependencies(info, target: str, max_depth: int) -> tuple[str, ...]:
    """Return transitive dependencies, preserving dependency-first presentation."""
    dependencies: dict[str, set[str]] = {}
    for edge in info.edges:
        if edge.status == "resolved" and edge.source != edge.target:
            dependencies.setdefault(edge.source, set()).add(edge.target)
    distance = {target: 0}
    queue = deque([target])
    while queue:
        source = queue.popleft()
        depth = distance[source]
        if depth >= max_depth:
            continue
        for dependency in sorted(dependencies.get(source, ())):
            if dependency not in distance:
                distance[dependency] = depth + 1
                queue.append(dependency)
    position = {path: index for index, path in enumerate(info.topological_order)}
    return tuple(sorted(
        (path for path in distance if path != target),
        key=lambda path: (distance[path], position[path]),
    ))


def _direct_dependencies(info, target: str) -> tuple[str, ...]:
    position = {path: index for index, path in enumerate(info.topological_order)}
    return tuple(sorted(
        {
            edge.target for edge in info.edges
            if edge.status == "resolved" and edge.source == target and edge.target != target
        },
        key=position.__getitem__,
    ))


def _target_context_samples(repo, info, rendered, config, counter, existing_samples=()) -> list[Sample]:
    samples: list[Sample] = []
    existing_texts = {sample.text for sample in existing_samples}
    language = {file.path: file.language for file in info.files}
    roles = {path: value[2] for path, value in rendered.items()}
    position = {path: index for index, path in enumerate(info.topological_order)}
    by_directory: dict[str, list[str]] = {}
    for path in info.topological_order:
        parent = path.rsplit("/", 1)[0] if "/" in path else ""
        by_directory.setdefault(parent, []).append(path)

    for target in _target_candidates(repo, info, rendered, config):
        dependency_paths = list(_target_dependencies(info, target, config.max_dependency_depth))
        target_content, target_policy, target_role = rendered[target]
        budget = config.max_tokens - counter(_repository_header(repo))
        if budget < 1:
            continue
        if config.max_file_tokens is not None:
            budget = min(budget, config.max_file_tokens)
        target_parts = _chunks(target, target_content, target_policy, target_role,
                               language.get(target), budget, counter)
        target_blocks = [
            _file_block(target, part, target_policy, target_role, part=index, parts=len(target_parts))
            for index, part in enumerate(target_parts, 1)
        ]
        for target_index, target_block in enumerate(target_blocks, 1):
            entries: list[tuple[str, str, str, str, str | None, int, int]] = []
            used = counter(target_block)
            selected: list[str] = []
            # Direct dependencies and then nearer transitive dependencies are considered first.
            for path in dependency_paths:
                content, policy, role = rendered[path]
                if policy == "metadata_only":
                    continue
                parts = _chunks(path, content, policy, role, language.get(path), budget, counter)
                if len(parts) != 1:
                    continue
                block = _file_block(path, parts[0], policy, role)
                if used + counter(block) <= budget:
                    selected.append(path)
                    used += counter(block)
            dependency_selected = set(selected)
            # Small local documentation/build context gets the remaining space.
            target_dir = target.rsplit("/", 1)[0] if "/" in target else ""
            context_candidates = [
                path for path in by_directory.get(target_dir, ())
                if path != target and roles.get(path) in {"documentation", "manifest", "build"}
            ]
            context_candidates += [
                path for path in ("README.md", "README.rst", "pyproject.toml", "package.json", "Cargo.toml")
                if path in rendered and path != target and path not in context_candidates
            ]
            for path in context_candidates:
                if path in selected:
                    continue
                content, policy, role = rendered[path]
                block = _file_block(path, content, policy, role)
                if counter(block) <= 1024 and used + counter(block) <= budget:
                    selected.append(path)
                    used += counter(block)
            selected.sort(key=position.__getitem__)
            for path in selected:
                content, policy, role = rendered[path]
                entries.append((path, content, policy, role, language.get(path), 1, 1))
            target_part = target_parts[target_index - 1]
            # A target-only document duplicates the ordinary dependency sample
            # and adds no repository context, so do not emit it.
            if not selected:
                continue
            entries.append((target, target_part, target_policy, target_role,
                            language.get(target), target_index, len(target_parts)))
            text = _repository_header(repo) + "".join(
                _file_block(path, content, policy, role, part=part, parts=parts)
                for path, content, policy, role, _, part, parts in entries
            )
            if counter(text) > config.max_tokens:
                continue
            if text in existing_texts:
                continue
            provenance = tuple(SampleFile(
                path=path,
                relation=("target" if path == target else
                          "dependency" if path in dependency_selected else "repository_context"),
                content_policy=policy, role=role, language=language.get(path),
                bytes=len(content.encode("utf-8")), part=part, parts=parts,
            ) for path, content, policy, role, _, part, parts in entries)
            samples.append(Sample(
                sample_id=_sample_id(repo, "target_context", len(samples),
                                     tuple(path for path, *_ in entries)),
                repo_id=repo.repo_id, revision_id=repo.revision_id,
                kind="target_context", text=text, files=provenance,
                token_count=counter(text), metadata={
                    "target_path": target,
                    "direct_dependency_paths": _direct_dependencies(info, target),
                    "dependency_depth": config.max_dependency_depth,
                    "dependency_paths": tuple(path for path in selected if path in dependency_selected),
                    "repository_context_paths": tuple(path for path in selected if path not in dependency_selected),
                    "counter": counter.mode,
                },
            ))
            existing_texts.add(text)
    return samples


def _sample_id(repo: Repo, kind: str, index: int, paths: tuple[str, ...]) -> str:
    value = "\0".join((repo.repo_id, repo.revision_id, kind, str(index), *paths))
    return hashlib.sha1(value.encode()).hexdigest()

	"""End-to-end DeepSeek-style repository training sample construction."""

	from __future__ import annotations

	import hashlib
	import math
	from collections import OrderedDict, deque
	from typing import Callable

	from .content import normalized_path, training_content
	from .graph import dependency_components
	from .model import (
	BEGIN_FILE,
	BEGIN_FILE_NAME,
	BEGIN_REPO_NAME,
	END_FILE,
	END_FILE_NAME,
	END_REPO_NAME,
	BuildConfig,
	Sample,
	SampleFile,
	)
	from .repo import Repo, RepoFile, RepoInfo, scan
	from .tokenizer import load_tokenizer


	TokenCounter = Callable[[str], int]


	class _Counter:
	def __init__(self, tokenizer=None, utf8_bytes_per_token: float = 3.0):
	self.tokenizer = tokenizer
	self.utf8_bytes_per_token = utf8_bytes_per_token
	self.mode = (f"utf8_estimate_{utf8_bytes_per_token:g}bytes_per_token"
	if tokenizer is None else "tokens")
	self._cache: OrderedDict[str, int] = OrderedDict()

	def __call__(self, text: str) -> int:
	if text in self._cache:
	self._cache.move_to_end(text)
	return self._cache[text]
	if self.tokenizer is None:
	byte_count = len(text.encode("utf-8"))
	value = math.ceil(byte_count / self.utf8_bytes_per_token)
	else:
	encode = getattr(self.tokenizer, "encode", None)
	if encode is not None:
	try:
	value = len(encode(text, add_special_tokens=False))
	except TypeError:
	try:
	value = len(encode(text, disallowed_special=()))
	except TypeError:
	value = len(encode(text))
	elif callable(self.tokenizer):
	result = self.tokenizer(text)
	value = result if isinstance(result, int) else len(result)
	else:
	raise TypeError("tokenizer must be callable or provide encode()")
	self._cache[text] = value
	if len(self._cache) > 128:
	self._cache.popitem(last=False)
	return value


	def build_samples(repo: Repo, *, config: BuildConfig \| None = None, tokenizer=None,
	info: RepoInfo \| None = None,
	use_treesitter: bool = True) -> tuple[Sample, ...]:
	"""Analyze ``repo`` and return deterministic, budgeted training samples."""
	config = config or BuildConfig()
	tokenizer = tokenizer or load_tokenizer()
	counter = _Counter(tokenizer, config.utf8_bytes_per_token)
	repo_files = tuple(repo.iter_files())
	snapshot = Repo(repo.repo_id, repo.revision_id, repo_files)
	info = info or scan(
	snapshot, include_weak=config.include_weak_edges,
	use_treesitter=use_treesitter,
	)
	files = {normalized_path(file.path): file for file in repo_files}
	if len(files) != len(repo_files):
	raise ValueError("Repo contains duplicate normalized file paths")
	if set(files) != {file.path for file in info.files}:
	raise ValueError("RepoInfo does not describe the supplied Repo snapshot")

	rendered = {
	path: training_content(file, config)
	for path, file in files.items()
	}
	samples = _dependency_samples(snapshot, info, rendered, config, counter)
	if config.target_context:
	samples.extend(_target_context_samples(snapshot, info, rendered, config, counter, samples))
	return tuple(samples)


	def _repository_header(repo: Repo) -> str:
	return f"{BEGIN_REPO_NAME}{repo.repo_id}{END_REPO_NAME}\n"


	def _file_block(path: str, content: str, policy: str, role: str, *, part: int = 1,
	parts: int = 1) -> str:
	suffix = f" (part {part}/{parts})" if parts > 1 else ""
	lines = [f"{BEGIN_FILE_NAME}{path}{suffix}{END_FILE_NAME}", BEGIN_FILE]
	if content:
	lines.append(content.rstrip())
	lines.append(END_FILE)
	return "\n".join(lines) + "\n"


	def _chunks(path: str, content: str, policy: str, role: str, language: str \| None,
	budget: int, counter: TokenCounter) -> tuple[str, ...]:
	if not content:
	return ("",)
	# Avoid sending multi-megabyte source files through the tokenizer several
	# times. Besides being quadratic in the old binary search, concurrent huge
	# encodes can exhaust system memory. Normal files still take the fast path.
	max_candidate_chars = 262_144
	if (len(content) <= max_candidate_chars
	and counter(_file_block(path, content, policy, role)) <= budget):
	return (content,)
	# Splitting adds a part=i/n descriptor. Reserve its worst practical width
	# while finding boundaries so the final rendered blocks remain in budget.
	def split_block(value: str) -> str:
	return _file_block(path, value, policy, role, part=999_999, parts=999_999)

	units: list[str] = []
	unit_chars = 16_384
	for line in content.splitlines(keepends=True):
	units.extend(line[start:start + unit_chars] for start in range(0, len(line), unit_chars))
	if not units and content:
	units = [content]
	def exact_split(parts: list[str]) -> list[str]:
	chunks: list[str] = []
	current = ""
	for unit in parts:
	candidate = current + unit
	if (len(candidate) <= max_candidate_chars
	and counter(split_block(candidate)) <= budget):
	current = candidate
	continue
	if current:
	chunks.append(current)
	current = ""
	while unit:
	if counter(split_block(unit)) <= budget:
	current = unit
	break
	lo, hi, chars = 1, len(unit), 0
	while lo <= hi:
	middle = (lo + hi) // 2
	if counter(split_block(unit[:middle])) <= budget:
	chars = middle
	lo = middle + 1
	else:
	hi = middle - 1
	if not chars:
	raise ValueError(f"max_tokens is too small for file metadata: {path}")
	chunks.append(unit[:chars])
	unit = unit[chars:]
	if current:
	chunks.append(current)
	return chunks

	chunks: list[str] = []
	start = 0
	while start < len(units):
	# Find the largest exact unit prefix that fits. This preserves the old
	# greedy boundaries while replacing O(units) repeated encodes with
	# O(log units) encodes per output chunk.
	low, high, best = 1, len(units) - start, 0
	while low <= high:
	middle = (low + high) // 2
	candidate = "".join(units[start:start + middle])
	if (len(candidate) <= max_candidate_chars
	and counter(split_block(candidate)) <= budget):
	best = middle
	low = middle + 1
	else:
	high = middle - 1
	if best:
	chunks.append("".join(units[start:start + best]))
	start += best
	continue
	chunks.extend(exact_split([units[start]]))
	start += 1
	return tuple(chunks)


	def _dependency_samples(repo, info, rendered, config, counter) -> list[Sample]:
	samples: list[Sample] = []
	language_by_path = {file.path: file.language for file in info.files}
	components = dependency_components(info)
	linked = [component for component in components if len(component) > 1]
	isolated_set = {component[0] for component in components if len(component) == 1}
	isolated = tuple(path for path in info.topological_order if path in isolated_set)
	groups = linked + ([isolated] if isolated else [])
	header = _repository_header(repo)
	header_tokens = counter(header)
	file_budget = config.max_tokens - header_tokens
	if file_budget < 1:
	raise ValueError("max_tokens is too small for repository metadata")
	if config.max_file_tokens is not None:
	file_budget = min(file_budget, config.max_file_tokens)
	for component_index, component in enumerate(groups):
	entries: list[tuple[str, str, str, str, str \| None, int, int]] = []
	for path in component:
	content, policy, role = rendered[path]
	language = language_by_path[path]
	parts = _chunks(path, content, policy, role, language, file_budget, counter)
	entries.extend((path, part, policy, role, language, index, len(parts))
	for index, part in enumerate(parts, 1))

	pack: list[tuple[str, str, str, str, str \| None, int, int]] = []
	pack_text = ""
	used = 0

	def flush() -> None:
	nonlocal pack, pack_text, used
	text = header + pack_text
	token_count = counter(text)
	if token_count > config.max_tokens:
	raise ValueError(
	f"dependency sample exceeds max_tokens for {repo.repo_id}: {token_count}"
	)
	sample = _make_dependency(
	repo, info, samples, pack, component_index, counter,
	text=text, token_count=token_count,
	)
	if sample.token_count >= config.min_tokens:
	samples.append(sample)
	pack, pack_text, used = [], "", 0

	for entry in entries:
	block = _file_block(entry[0], entry[1], entry[2], entry[3],
	part=entry[5], parts=entry[6])
	cost = counter(block)
	if pack and header_tokens + used + cost > config.max_tokens:
	flush()
	pack.append(entry)
	pack_text += block
	used += cost
	if header_tokens + cost > config.max_tokens:
	raise ValueError(f"file block exceeds max_tokens: {entry[0]}")
	if pack:
	flush()
	return samples


	def _make_dependency(repo, info, existing, entries, component_index, counter, *,
	text: str \| None = None, token_count: int \| None = None) -> Sample:
	text = text if text is not None else _repository_header(repo) + "".join(
	_file_block(path, content, policy, role, part=part, parts=parts)
	for path, content, policy, role, language, part, parts in entries
	)
	language_by_path = {file.path: file.language for file in info.files}
	provenance = tuple(SampleFile(
	path=path, relation="component", content_policy=policy,
	role=role, language=language_by_path[path], bytes=len(content.encode("utf-8")),
	part=part, parts=parts,
	) for path, content, policy, role, language, part, parts in entries)
	return Sample(
	sample_id=_sample_id(repo, "dependency", len(existing), tuple(x[0] for x in entries)),
	repo_id=repo.repo_id, revision_id=repo.revision_id, kind="dependency", text=text,
	files=provenance, token_count=token_count if token_count is not None else counter(text),
	metadata={"component": component_index, "counter": counter.mode},
	)


	def _target_candidates(repo, info, rendered, config) -> tuple[str, ...]:
	"""Choose stable, broadly distributed source targets without graph ranking."""
	roles = {path: value[2] for path, value in rendered.items()}
	language = {file.path: file.language for file in info.files}
	candidates = [
	path for path in info.topological_order
	if roles.get(path) == "source"
	and language.get(path)
	and rendered[path][0]
	and rendered[path][1] != "metadata_only"
	]
	if len(candidates) <= config.max_targets_per_repo:
	return tuple(candidates)
	ranked = sorted(
	candidates,
	key=lambda path: hashlib.sha1(
	f"{repo.repo_id}\0{repo.revision_id}\0target\0{path}".encode()
	).digest(),
	)
	selected = set(ranked[:config.max_targets_per_repo])
	return tuple(path for path in info.topological_order if path in selected)


	def _target_dependencies(info, target: str, max_depth: int) -> tuple[str, ...]:
	"""Return transitive dependencies, preserving dependency-first presentation."""
	dependencies: dict[str, set[str]] = {}
	for edge in info.edges:
	if edge.status == "resolved" and edge.source != edge.target:
	dependencies.setdefault(edge.source, set()).add(edge.target)
	distance = {target: 0}
	queue = deque([target])
	while queue:
	source = queue.popleft()
	depth = distance[source]
	if depth >= max_depth:
	continue
	for dependency in sorted(dependencies.get(source, ())):
	if dependency not in distance:
	distance[dependency] = depth + 1
	queue.append(dependency)
	position = {path: index for index, path in enumerate(info.topological_order)}
	return tuple(sorted(
	(path for path in distance if path != target),
	key=lambda path: (distance[path], position[path]),
	))


	def _direct_dependencies(info, target: str) -> tuple[str, ...]:
	position = {path: index for index, path in enumerate(info.topological_order)}
	return tuple(sorted(
	{
	edge.target for edge in info.edges
	if edge.status == "resolved" and edge.source == target and edge.target != target
	},
	key=position.__getitem__,
	))


	def _target_context_samples(repo, info, rendered, config, counter, existing_samples=()) -> list[Sample]:
	samples: list[Sample] = []
	existing_texts = {sample.text for sample in existing_samples}
	language = {file.path: file.language for file in info.files}
	roles = {path: value[2] for path, value in rendered.items()}
	position = {path: index for index, path in enumerate(info.topological_order)}
	by_directory: dict[str, list[str]] = {}
	for path in info.topological_order:
	parent = path.rsplit("/", 1)[0] if "/" in path else ""
	by_directory.setdefault(parent, []).append(path)

	for target in _target_candidates(repo, info, rendered, config):
	dependency_paths = list(_target_dependencies(info, target, config.max_dependency_depth))
	target_content, target_policy, target_role = rendered[target]
	budget = config.max_tokens - counter(_repository_header(repo))
	if budget < 1:
	continue
	if config.max_file_tokens is not None:
	budget = min(budget, config.max_file_tokens)
	target_parts = _chunks(target, target_content, target_policy, target_role,
	language.get(target), budget, counter)
	target_blocks = [
	_file_block(target, part, target_policy, target_role, part=index, parts=len(target_parts))
	for index, part in enumerate(target_parts, 1)
	]
	for target_index, target_block in enumerate(target_blocks, 1):
	entries: list[tuple[str, str, str, str, str \| None, int, int]] = []
	used = counter(target_block)
	selected: list[str] = []
	# Direct dependencies and then nearer transitive dependencies are considered first.
	for path in dependency_paths:
	content, policy, role = rendered[path]
	if policy == "metadata_only":
	continue
	parts = _chunks(path, content, policy, role, language.get(path), budget, counter)
	if len(parts) != 1:
	continue
	block = _file_block(path, parts[0], policy, role)
	if used + counter(block) <= budget:
	selected.append(path)
	used += counter(block)
	dependency_selected = set(selected)
	# Small local documentation/build context gets the remaining space.
	target_dir = target.rsplit("/", 1)[0] if "/" in target else ""
	context_candidates = [
	path for path in by_directory.get(target_dir, ())
	if path != target and roles.get(path) in {"documentation", "manifest", "build"}
	]
	context_candidates += [
	path for path in ("README.md", "README.rst", "pyproject.toml", "package.json", "Cargo.toml")
	if path in rendered and path != target and path not in context_candidates
	]
	for path in context_candidates:
	if path in selected:
	continue
	content, policy, role = rendered[path]
	block = _file_block(path, content, policy, role)
	if counter(block) <= 1024 and used + counter(block) <= budget:
	selected.append(path)
	used += counter(block)
	selected.sort(key=position.__getitem__)
	for path in selected:
	content, policy, role = rendered[path]
	entries.append((path, content, policy, role, language.get(path), 1, 1))
	target_part = target_parts[target_index - 1]
	# A target-only document duplicates the ordinary dependency sample
	# and adds no repository context, so do not emit it.
	if not selected:
	continue
	entries.append((target, target_part, target_policy, target_role,
	language.get(target), target_index, len(target_parts)))
	text = _repository_header(repo) + "".join(
	_file_block(path, content, policy, role, part=part, parts=parts)
	for path, content, policy, role, _, part, parts in entries
	)
	if counter(text) > config.max_tokens:
	continue
	if text in existing_texts:
	continue
	provenance = tuple(SampleFile(
	path=path,
	relation=("target" if path == target else
	"dependency" if path in dependency_selected else "repository_context"),
	content_policy=policy, role=role, language=language.get(path),
	bytes=len(content.encode("utf-8")), part=part, parts=parts,
	) for path, content, policy, role, _, part, parts in entries)
	samples.append(Sample(
	sample_id=_sample_id(repo, "target_context", len(samples),
	tuple(path for path, *_ in entries)),
	repo_id=repo.repo_id, revision_id=repo.revision_id,
	kind="target_context", text=text, files=provenance,
	token_count=counter(text), metadata={
	"target_path": target,
	"direct_dependency_paths": _direct_dependencies(info, target),
	"dependency_depth": config.max_dependency_depth,
	"dependency_paths": tuple(path for path in selected if path in dependency_selected),
	"repository_context_paths": tuple(path for path in selected if path not in dependency_selected),
	"counter": counter.mode,
	},
	))
	existing_texts.add(text)
	return samples


	def _sample_id(repo: Repo, kind: str, index: int, paths: tuple[str, ...]) -> str:
	value = "\0".join((repo.repo_id, repo.revision_id, kind, str(index), *paths))
	return hashlib.sha1(value.encode()).hexdigest()