0.1.1

• cx.tl.batch_process now streams gene-major in a single pass via
  the same iter_matrix_chunks(axis=1, ...) access pattern
  wilcoxon_test already uses, instead of re-reading the full cell axis
  once per gene chunk. This is a strict speed improvement with no memory
  regression, and native/cheap for a CSC-stored source. A new
  format_mismatch_policy parameter ("warn" / "convert" /
  "off", matching normalize_total_log1p) controls what happens when
  the source is CSR instead.
• cx.tl.batch_process gains resume/checkpoint_interval,
  extending the same atomic-checkpoint, corruption-safe-read infrastructure
  t_test/wilcoxon_test/nb_glm_test already use to the generic
  streaming-statistics API. The unit of resumable progress is a gene chunk;
  results are written directly into the (pre-sized) output file as each
  chunk finishes, and a missing/corrupted checkpoint falls back to scanning
  that output file for the last completed chunk.
• BatchReducer supports multiple named channels from one pass.
  Setting channels=(...) lets finalize/compare return a dict of
  related statistics computed from the same streaming state -- for example
  a mean difference and its standard error, so a caller can form
  t = mean_diff / se without a second pass over the data. Each channel
  is combined across batches independently and written to its own
  layers[name]; the first channel is also copied into X. Existing
  reducers returning a single BatchStatistic/array are unaffected.