A Python cell whose cached value is empty (a file's PY formula with no cached
value) was taken for an empty cell by six checks, which use the value and the
formula only:
- the Analysis ToolPak report and the PivotTable report replaced it without
asking for overwrite or replace (CodeRabbit, on the report);
- Insert Cells and Insert Table without headers pushed it off the end of the
sheet;
- the data region (Ctrl+A, AutoSum, sort) ended at it;
- pasting it into part of a legacy array was not refused.
They now use Cell::has_content, which counts Python code.
Test: python_code_with_an_empty_value_counts_as_content; reverting any one of
the six changes makes it fail.
* Data: Analysis ToolPak two-factor Anova (with and without replication) and z-Test
Builds on the ToolPak of #320. data.analysisToolPak gains three tools:
Anova: Two-Factor Without Replication (rows and columns as factors, the
residual as the error term), Anova: Two-Factor With Replication (samples of
rowsPerSample rows, with the interaction and within-cell terms) and z-Test:
Two Sample for Means (known variances, normal tails and critical values from
NORM.S.DIST and NORM.S.INV). Each has a form in the Data Analysis dialog.
Tests check the reports against Montgomery's hardness-testing and
battery-life examples.
* Data: Analysis ToolPak Fourier Analysis
data.analysisToolPak gains Fourier Analysis: the discrete Fourier transform
or its inverse of one row or column of 2^k values (at most 4096), by an
iterative radix-2 FFT. Input cells are read as IMREAL and IMAGINARY read
them, so complex text such as 3+4i works, and the results are written as
COMPLEX text. Tests check known transforms (1, 2, 3, 4; a sampled cosine),
the inverse round trip and the input limits.
* Data: Analysis ToolPak Random Number Generation and Sampling
data.analysisToolPak gains the last two of Excel's 19 tools. Random Number
Generation draws uniform, normal, Bernoulli, binomial, Poisson and discrete
numbers, or writes a patterned sequence, in one or more columns; binomial and
Poisson draws invert tables built from BINOM.DIST and POISSON.DIST. Sampling
takes every period-th value or a random sample with replacement. Both use a
seeded xoshiro256** generator: the same seed repeats the numbers, and a run
without one reports the seed it chose. Output is capped at 1,000,000 numbers.
* Data: Analysis ToolPak two-factor Anova without replication: Labels caption names the first column
With Labels ticked, Anova: Two-Factor Without Replication takes the column
names from the first row and the row names from the first cell of every data
row. The form's caption read "Labels in first row", so a user with column
headers but no row names who ticked it would lose the first data column. The
caption now reads "Labels in first row and first column", and the command's
params doc says the same. A dialog test checks the caption.
* Data: Analysis ToolPak docs: timestamp lines and revision history for the 19 tools
docs/gaps.md (§13) and docs/target-app-parity.md (what-if and analysis) gain
their Last updated line and a revision-history row for the Analysis ToolPak
reaching all 19 of Excel's tools.
* Data: Analysis ToolPak new tools refuse options that are not numbers
Random Number Generation (from, to, mean, standardDeviation, p, lambda, step,
and the whole-number options) and z-Test (hypothesizedDifference) read their
options with a default for anything that did not parse, so a form value typed
as "0,3" or a typo quietly ran with the default. A blank or absent option
still takes the default; any other value that is not a finite number is now
an error naming the option.
* Data: Analysis ToolPak refuses an Alpha that is not a number
alpha() took any value that did not parse as the default 0.05, so a typed
"0,01" ran z-Test, both two-factor Anovas (and the existing t-tests, F-Test
and single-factor Anova, which share it) at the wrong significance level
without a word. A blank or absent Alpha still means 0.05; any other value that
is not a finite number is now an error.
* Data: Analysis ToolPak Random Number Generation form hides the count for a patterned sequence
A patterned sequence takes its length from From, To, step and the two repeat
counts and ignores Number of Random Numbers, so a count typed there did
nothing. The form shows the count only for the random distributions, and the
patterned options carry a note that the repeats set how many values are
written.
* Data: Analysis ToolPak Random Seed caption says a blank seed draws a new sequence
Random Number Generation and random Sampling labelled the seed "blank for
none", but a blank seed makes the engine choose a new one, so each run draws
different numbers. The caption now reads "blank for a new sequence".
* Data: Analysis ToolPak form scrolls its options in a short window
The Data Analysis window cannot be resized, and the patterned Random Number
Generation form (seven distribution choices and five pattern fields, each
label above its box) is taller than a 600-point window, so OK ended below the
window's edge. The tool's options now sit in a vertical scroll area capped to
the window's height less the title, output options and buttons, which always
stay in view.
* Data: Analysis ToolPak docs: Forecast Sheet is no longer listed as missing
docs/target-app-parity.md's what-if and analysis row still listed Forecast
Sheet as missing, while data.forecastSheet is in the catalog and docs/gaps.md
§13 lists it as present. The row now lists it with the other analysis tools,
and today's revision-history row says so.
* Data: Analysis ToolPak seed applies only where numbers are drawn
A patterned sequence and periodic sampling draw nothing, but the form showed
the Random Seed field for both, and Random Number Generation read the seed for
every distribution: a seed left in the form that was not a whole number
refused a patterned run, and a valid one was reported as the seed used. The
seed field now shows only for the random distributions and random sampling,
and a patterned run neither reads nor reports a seed.
* Data: Analysis ToolPak Fourier Analysis keeps small parts beside large ones
The cleanup after the transform zeroed every part at or below 1e-13 of the
largest output, so a one-value input such as 1e14 + 1i lost its imaginary
part although a transform of one value performs no arithmetic, and a small
harmonic beside a large DC term was lost the same way. The cutoff is now the
rounding bound of the transform itself, 8 · ε · log2(N) · Σ(|re_n| + |im_n|),
divided by N for the inverse (whose outputs are divided by N): it depends on
the input and the number of butterfly stages, never on the largest output,
and is zero for N = 1. An input sum that overflows disables the cleanup
instead of zeroing everything. Two regression tests cover the one-value case
and an eight-point round trip of 1e6 + 1e-7 cos(2πn/8).
* Data: Analysis ToolPak binomial and Poisson tables grow with the distribution, not the trials
Random Number Generation tabulated a binomial or Poisson distribution by
evaluating BINOM.DIST or POISSON.DIST through worksheet-function dispatch
for every outcome from 0 upward, so a million trials with p = 1 meant
1,000,001 calls and a table of as many entries. The table is now built from
one value at the mode and the recurrence pmf(k + 1) = pmf(k) · (n − k)/(k + 1)
· p/(1 − p) (λ/(k + 1) for Poisson), outward in both directions: the left
tail ends where its terms vanish, the right tail once the cumulative
probability reaches 1 within f64 resolution, so the table is as wide as the
outcomes that matter (about 23,000 entries for Binomial(1,000,000, 0.5)).
p = 0 and p = 1 are exact cases with one outcome. The trials limit and the
draws are unchanged. Tests check the recurrence against BINOM.DIST and
POISSON.DIST to 1e-12 relative, the table width at a million trials, and
that the largest inputs complete in milliseconds with the right means.
---------
Co-authored-by: FredApps <FredApps@users.noreply.github.com>
Cell gains `py: Option<Arc<PyCode>>`, read with a serde default and not
written for ordinary cells, so older native files load and ordinary
cells serialize as before. PyCode holds the code, the return type (an
Excel value or a Python object), the last result (value, type name,
preview, whether it converted to cells) and a stale flag for manual
calculation. The cell's `value` stays the cached result, so formulas,
display and saving read a Python cell like any other. is_blank,
CellStore::has and input_text (which returns the code) take the code
into account; Cell::has_content and clear_content cover value, formula
and code together.
The model reads and writes the PY function's syntax as Microsoft
documents it, PY("chunk"&"chunk",0|1), with string literals of at most
255 characters and the return type 0 for an Excel value, 1 for a Python
object. The reader takes the `_xlfn._xlws.` prefix (and `_xlfn.` or
`_xlws.` alone, in any letter case); to_file_formula writes it. (An xlsx
file keeps the code in its Python part instead; the xlsx commit adds
it.) The size limit is Excel's 8,192 characters for that formula, not a
count of code characters: doubled quotes and the "&" between literals
count, so code with many quotes fits in fewer characters (8,079
characters of plain code fit exactly). The model also finds the
xl("...") literals in code, skipping comments and other strings; a plain
literal may escape a quote or a backslash. A rewritten reference that
holds the literal's quote (a sheet name that needs quotes, 'Q4
2026'!B2) takes the other quote as the literal's delimiter, or an
escaped quote when it holds both, so it never ends the string early.
Edits: cell.set over a Python cell, Clear Contents, Clear All and the
cells a merge empties remove the code; Clear Formats keeps it. Copy and
paste (All, Formulas), Fill, sort, cut-move, sheet copy and undo carry
it; a cut to another sheet first qualifies its xl() references with the
source sheet, as a moved formula's references are, so they keep
reading the same cells. Paste Values and Paste Link do not carry it,
and paste operations do not combine numbers with a Python cell. Fill
copies Python cells instead of extending them as a series. cell.set
with =PY(...) is refused with a message that points to python.set, and
Text to Columns keeps a piece that reads as =PY(...) as text instead of
clearing it. Goal Seek refuses a Python cell as its changing cell, and
Solver as a variable cell, as both refuse formulas: the number written
there would replace the code. The sheet-protection check compares the
code, so a locked Python cell cannot be changed. cell.get reports
{python: code, output, typeName, preview, stale}.
The xl() literals follow reference-moving edits: rewrite_all_formulas
(row and column insert and delete, cell insert and delete, cut-move),
sheet rename and sheet delete adjust each literal like a formula
reference, and replace it only when it changed.
Errors: CellError gains Python, Busy, Timeout and Blocked, and ALL has
14 entries, so the lexer reads them as literals. ERROR.TYPE gives 11 for
#BLOCKED!, the number Excel returns. Microsoft documents no ERROR.TYPE
number for #PYTHON!, #BUSY! or #TIMEOUT!; they take 19, 20 and 21, after
the numbers Excel is known to use. The xlsx writer caches the four as
#VALUE!, as it already does #SPILL! and #CALC!, because they are not
error codes of the file format.
Tests cover the =PY refusal, removal by entry and clearing, undo, copy,
paste values, fill and sort, xl() rewrites through row insert, sheet
rename (also to names that need quotes, with one quote and with both),
cut-move (also to another sheet) and column delete, Goal Seek and
Solver refusing Python cells, Text to Columns keeping a =PY piece,
native JSON round trips, the new errors, the prefixes, escaped quotes in
literals, and the encoded size limit at 8,192 characters exactly and
with doubled quotes.
- The workbook's active sheet is an atomic set in place (Workbook::active_sheet /
set_active_sheet), so a window swap or sheet switch never clones the
Arc<Workbook> or marks it dirty. Selections already live in DocState and the
window views. Save records the sheet of the most recently active window.
- A dialog taken out of its window while it runs goes back to that window when
a command run from it switched windows (dialogs::show, ui.dialog.confirm).
- view.arrangeAll {arrange?: tiled|horizontal|vertical|cascade, activeWorkbook?}
returns the visible windows, active first; the desktop moves and sizes the
native windows over the main window's monitor. New Window and Arrange All
buttons on the View ribbon; Arrange Windows dialog.
- Docs: ui-parity, hardware-parity, gaps #20, target-app-parity, ROADMAP.
forecast_grid re-added every squared residual in each window, O(n×window).
Keep a running sum instead: add the entering term, subtract the leaving one,
and restart at a point without a forecast so windows touching it stay #N/A.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
data.analysisToolPak runs Descriptive Statistics, Histogram, Correlation,
Covariance, Regression, Moving Average, Exponential Smoothing, Rank and
Percentile, the three t-Tests, F-Test and Anova: Single Factor, writing a
static report to an output range or a new sheet. Non-empty output cells are
refused unless overwrite is set; the dialog asks instead.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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