Drop docstrings that summarise the code they sit on

Five of the six in this module restated what the function below already
said, or argued for the option taken over one that was not. The remaining
one records that the server sends samples newest-first, which is a fact
from outside this file and draws every chart backwards if missed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

Author: Andrey Cheptsov

src/dstack/_internal/cli/utils/metrics.py

@@ -73,12 +73,6 @@ def get_metrics_table(
 
 
 def job_labels(jobs: Sequence[Job]) -> List[str]:
-    """`replica=`/`group=` only where they distinguish something, as `dstack ps` does --
-    one replica across four nodes is `job=0..3`, not `replica=0 job=0..3`.
-
-    Unlike `ps`, `job=` is always printed. This table is keyed by job, so every row names
-    one; `replica=` joins it only where there is more than one replica to tell apart.
-    """
     groups = {job.job_spec.replica_group for job in jobs}
     show_group = len(groups) > 1
     show_replica = len({job.job_spec.replica_num for job in jobs}) > 1
@@ -125,13 +119,6 @@ def _add_job(
 
 
 def _span(metrics: Sequence[JobMetrics]) -> Optional[tuple[datetime, datetime]]:
-    """The window every job is drawn against: always the full retention hour.
-
-    Fixed rather than fitted to the data, so a row means the same thing in every
-    invocation and across every job. A job younger than the hour fills only its share of
-    the row and the rest is blank -- which is the fact worth seeing about a replica that
-    started two minutes ago.
-    """
     windows = [w for w in (_window(m) for m in metrics) if w is not None]
     if not windows:
         return None
@@ -140,7 +127,6 @@ def _span(metrics: Sequence[JobMetrics]) -> Optional[tuple[datetime, datetime]]:
 
 
 def _lead(metrics: JobMetrics, span: Optional[tuple[datetime, datetime]], width: int) -> int:
-    """Cells before this job's first sample -- time it was not running for."""
     window = _window(metrics)
     if window is None or span is None:
         return 0
@@ -214,18 +200,6 @@ def _cell(spark: Text, label: str) -> Text:
 
 
 def _axis(width: int, first: datetime, last: datetime) -> Text:
-    """`<oldest> ┄┄┄ <newest>`, never wider than the sparkline above it.
-
-    The rule is what pairs the two stamps. UTILIZATION and MEMORY each print one, so the
-    row ends up holding four times, and with the rule left blank the only cue is spacing --
-    which points the wrong way above 88 columns: at 200 there are 66 blanks between a
-    column's own two stamps but only 13 between the columns, so each column's newest time
-    reads as belonging to the next column's oldest.
-
-    A run draws one cell per sample, so for its first few minutes there are fewer cells
-    than two dates need. Dropping the date keeps the axis inside its cell; overflowing
-    instead widens the column and pulls MEMORY out of line with the charts.
-    """
     left, right = _stamp(first), _stamp(last)
     if len(left) + len(right) + 3 > width:
         left, right = _stamp(first, clock_only=True), _stamp(last, clock_only=True)
@@ -250,8 +224,6 @@ def _window(job_metrics: JobMetrics) -> Optional[tuple[datetime, datetime]]:
 
 
 def _samples_num(job_metrics: JobMetrics) -> int:
-    """`slices` never draws more cells than it has samples, so the axis must stop there
-    too -- else it claims a span nothing was measured over, and Rich widens the column."""
     return max((len(metric.timestamps) for metric in job_metrics.metrics), default=0)