ish: Trim down the release branchstabilize-wristpin-14469.59.B-ishstabilize-voshyr-14637.B-ishstabilize-quickfix-14695.187.B-ishstabilize-quickfix-14695.124.B-ishstabilize-quickfix-14526.91.B-ishstabilize-14695.85.B-ishstabilize-14695.107.B-ishstabilize-14682.B-ishstabilize-14633.B-ishstabilize-14616.B-ishstabilize-14589.B-ishstabilize-14588.98.B-ishstabilize-14588.14.B-ishstabilize-14588.123.B-ishstabilize-14536.B-ishstabilize-14532.B-ishstabilize-14528.B-ishstabilize-14526.89.B-ishstabilize-14526.84.B-ishstabilize-14526.73.B-ishstabilize-14526.67.B-ishstabilize-14526.57.B-ishstabilize-14498.B-ishstabilize-14496.B-ishstabilize-14477.B-ishstabilize-14469.9.B-ishstabilize-14469.8.B-ishstabilize-14469.58.B-ishstabilize-14469.41.B-ishstabilize-14442.B-ishstabilize-14438.B-ishstabilize-14411.B-ishstabilize-14396.B-ishstabilize-14395.B-ishstabilize-14388.62.B-ishstabilize-14388.61.B-ishstabilize-14388.52.B-ishstabilize-14385.B-ishstabilize-14345.B-ishstabilize-14336.B-ishstabilize-14333.B-ishrelease-R99-14469.B-ishrelease-R98-14388.B-ishrelease-R102-14695.B-ishrelease-R101-14588.B-ishrelease-R100-14526.B-ishfirmware-cherry-14454.B-ishfirmware-brya-14505.B-ishfirmware-brya-14505.71.B-ishfactory-kukui-14374.B-ishfactory-guybrush-14600.B-ishfactory-cherry-14455.B-ishfactory-brya-14517.B-ish

In the interest of making long-term branch maintenance incur as little
technical debt on us as possible, we should not maintain any files on
the branch we are not actually using.

This has the added effect of making it extremely clear when merging CLs
from the main branch when changes have the possibility to affect us.

The follow-on CL adds a convenience script to actually pull updates from
the main branch and generate a CL for the update.

BUG=b:204206272
BRANCH=ish
TEST=make BOARD=arcada_ish && make BOARD=drallion_ish

Signed-off-by: Jack Rosenthal <jrosenth@chromium.org>
Change-Id: I17e4694c38219b5a0823e0a3e55a28d1348f4b18
Reviewed-on: https://chromium-review.googlesource.com/c/chromiumos/platform/ec/+/3262038
Reviewed-by: Jett Rink <jettrink@chromium.org>
Reviewed-by: Tom Hughes <tomhughes@chromium.org>

1 files changed, 0 insertions, 401 deletions

diff --git a/extra/usb_power/stats_manager.py b/extra/usb_power/stats_manager.py
deleted file mode 100644
index 0f8c3fcb15..0000000000
--- a/extra/usb_power/stats_manager.py
+++ /dev/null
@@ -1,401 +0,0 @@
-# Copyright 2017 The Chromium OS Authors. All rights reserved.
-# Use of this source code is governed by a BSD-style license that can be
-# found in the LICENSE file.
-#
-# Ignore indention messages, since legacy scripts use 2 spaces instead of 4.
-# pylint: disable=bad-indentation,docstring-section-indent
-# pylint: disable=docstring-trailing-quotes
-
-"""Calculates statistics for lists of data and pretty print them."""
-
-# Note: This is a py2/3 compatible file.
-
-from __future__ import print_function
-
-import collections
-import json
-import logging
-import math
-import os
-
-import numpy
-
-STATS_PREFIX = '@@'
-NAN_TAG = '*'
-NAN_DESCRIPTION = '%s domains contain NaN samples' % NAN_TAG
-
-LONG_UNIT = {
-    '': 'N/A',
-    'mW': 'milliwatt',
-    'uW': 'microwatt',
-    'mV': 'millivolt',
-    'uA': 'microamp',
-    'uV': 'microvolt'
-}
-
-
-class StatsManagerError(Exception):
-  """Errors in StatsManager class."""
-  pass
-
-
-class StatsManager(object):
-  """Calculates statistics for several lists of data(float).
-
-  Example usage:
-
-    >>> stats = StatsManager(title='Title Banner')
-    >>> stats.AddSample(TIME_KEY, 50.0)
-    >>> stats.AddSample(TIME_KEY, 25.0)
-    >>> stats.AddSample(TIME_KEY, 40.0)
-    >>> stats.AddSample(TIME_KEY, 10.0)
-    >>> stats.AddSample(TIME_KEY, 10.0)
-    >>> stats.AddSample('frobnicate', 11.5)
-    >>> stats.AddSample('frobnicate', 9.0)
-    >>> stats.AddSample('foobar', 11111.0)
-    >>> stats.AddSample('foobar', 22222.0)
-    >>> stats.CalculateStats()
-    >>> print(stats.SummaryToString())
-  ` @@--------------------------------------------------------------
-  ` @@                        Title Banner
-    @@--------------------------------------------------------------
-    @@            NAME  COUNT      MEAN   STDDEV       MAX       MIN
-    @@   sample_msecs      4     31.25    15.16     50.00     10.00
-    @@         foobar      2  16666.50  5555.50  22222.00  11111.00
-    @@     frobnicate      2     10.25     1.25     11.50      9.00
-  ` @@--------------------------------------------------------------
-
-  Attributes:
-    _data: dict of list of readings for each domain(key)
-    _unit: dict of unit for each domain(key)
-    _smid: id supplied to differentiate data output to other StatsManager
-           instances that potentially save to the same directory
-           if smid all output files will be named |smid|_|fname|
-    _title: title to add as banner to formatted summary. If no title,
-            no banner gets added
-    _order: list of formatting order for domains. Domains not listed are
-            displayed in sorted order
-    _hide_domains: collection of domains to hide when formatting summary string
-    _accept_nan: flag to indicate if NaN samples are acceptable
-    _nan_domains: set to keep track of which domains contain NaN samples
-    _summary: dict of stats per domain (key): min, max, count, mean, stddev
-    _logger = StatsManager logger
-
-  Note:
-    _summary is empty until CalculateStats() is called, and is updated when
-    CalculateStats() is called.
-  """
-
-  # pylint: disable=W0102
-  def __init__(self, smid='', title='', order=[], hide_domains=[],
-               accept_nan=True):
-    """Initialize infrastructure for data and their statistics."""
-    self._title = title
-    self._data = collections.defaultdict(list)
-    self._unit = collections.defaultdict(str)
-    self._smid = smid
-    self._order = order
-    self._hide_domains = hide_domains
-    self._accept_nan = accept_nan
-    self._nan_domains = set()
-    self._summary = {}
-    self._logger = logging.getLogger(type(self).__name__)
-
-  def AddSample(self, domain, sample):
-    """Add one sample for a domain.
-
-    Args:
-      domain: the domain name for the sample.
-      sample: one time sample for domain, expect type float.
-
-    Raises:
-      StatsManagerError: if trying to add NaN and |_accept_nan| is false
-    """
-    try:
-      sample = float(sample)
-    except ValueError:
-      # if we don't accept nan this will be caught below
-      self._logger.debug('sample %s for domain %s is not a number. Making NaN',
-                         sample, domain)
-      sample = float('NaN')
-    if not self._accept_nan and math.isnan(sample):
-      raise StatsManagerError('accept_nan is false. Cannot add NaN sample.')
-    self._data[domain].append(sample)
-    if math.isnan(sample):
-      self._nan_domains.add(domain)
-
-  def SetUnit(self, domain, unit):
-    """Set the unit for a domain.
-
-    There can be only one unit for each domain. Setting unit twice will
-    overwrite the original unit.
-
-    Args:
-      domain: the domain name.
-      unit: unit of the domain.
-    """
-    if domain in self._unit:
-      self._logger.warning('overwriting the unit of %s, old unit is %s, new '
-                           'unit is %s.', domain, self._unit[domain], unit)
-    self._unit[domain] = unit
-
-  def CalculateStats(self):
-    """Calculate stats for all domain-data pairs.
-
-    First erases all previous stats, then calculate stats for all data.
-    """
-    self._summary = {}
-    for domain, data in self._data.items():
-      data_np = numpy.array(data)
-      self._summary[domain] = {
-          'mean': numpy.nanmean(data_np),
-          'min': numpy.nanmin(data_np),
-          'max': numpy.nanmax(data_np),
-          'stddev': numpy.nanstd(data_np),
-          'count': data_np.size,
-      }
-
-  @property
-  def DomainsToDisplay(self):
-    """List of domains that the manager will output in summaries."""
-    return set(self._summary.keys()) - set(self._hide_domains)
-
-  @property
-  def NanInOutput(self):
-    """Return whether any of the domains to display have NaN values."""
-    return bool(len(set(self._nan_domains) & self.DomainsToDisplay))
-
-  def _SummaryTable(self):
-    """Generate the matrix to output as a summary.
-
-    Returns:
-      A 2d matrix of headers and their data for each domain
-      e.g.
-      [[NAME, COUNT, MEAN, STDDEV, MAX, MIN],
-       [pp5000_mw, 10, 50, 0, 50, 50]]
-    """
-    headers = ('NAME', 'COUNT', 'MEAN', 'STDDEV', 'MAX', 'MIN')
-    table = [headers]
-    # determine what domains to display & and the order
-    domains_to_display = self.DomainsToDisplay
-    display_order = [key for key in self._order if key in domains_to_display]
-    domains_to_display -= set(display_order)
-    display_order.extend(sorted(domains_to_display))
-    for domain in display_order:
-      stats = self._summary[domain]
-      if not domain.endswith(self._unit[domain]):
-        domain = '%s_%s' % (domain, self._unit[domain])
-      if domain in self._nan_domains:
-        domain = '%s%s' % (domain, NAN_TAG)
-      row = [domain]
-      row.append(str(stats['count']))
-      for entry in headers[2:]:
-        row.append('%.2f' % stats[entry.lower()])
-      table.append(row)
-    return table
-
-  def SummaryToMarkdownString(self):
-    """Format the summary into a b/ compatible markdown table string.
-
-    This requires this sort of output format
-
-    | header1   | header2   | header3   | ...
-    | --------- | --------- | --------- | ...
-    | sample1h1 | sample1h2 | sample1h3 | ...
-    .
-    .
-    .
-
-    Returns:
-      formatted summary string.
-    """
-    # All we need to do before processing is insert a row of '-' between
-    # the headers, and the data
-    table = self._SummaryTable()
-    columns = len(table[0])
-    # Using '-:' to allow the numbers to be right aligned
-    sep_row = ['-'] + ['-:'] * (columns - 1)
-    table.insert(1, sep_row)
-    text_rows = ['|'.join(r) for r in table]
-    body = '\n'.join(['|%s|' % r for r in text_rows])
-    if self._title:
-      title_section = '**%s**  \n\n' % self._title
-      body = title_section + body
-    # Make sure that the body is terminated with a newline.
-    return body + '\n'
-
-  def SummaryToString(self, prefix=STATS_PREFIX):
-    """Format summary into a string, ready for pretty print.
-
-    See class description for format example.
-
-    Args:
-      prefix: start every row in summary string with prefix, for easier reading.
-
-    Returns:
-      formatted summary string.
-    """
-    table = self._SummaryTable()
-    max_col_width = []
-    for col_idx in range(len(table[0])):
-      col_item_widths = [len(row[col_idx]) for row in table]
-      max_col_width.append(max(col_item_widths))
-
-    formatted_lines = []
-    for row in table:
-      formatted_row = prefix + ' '
-      for i in range(len(row)):
-        formatted_row += row[i].rjust(max_col_width[i] + 2)
-      formatted_lines.append(formatted_row)
-    if self.NanInOutput:
-      formatted_lines.append('%s %s' % (prefix, NAN_DESCRIPTION))
-
-    if self._title:
-      line_length = len(formatted_lines[0])
-      dec_length = len(prefix)
-      # trim title to be at most as long as the longest line without the prefix
-      title = self._title[:(line_length - dec_length)]
-      # line is a seperator line consisting of -----
-      line = '%s%s' % (prefix, '-' * (line_length - dec_length))
-      # prepend the prefix to the centered title
-      padded_title = '%s%s' % (prefix, title.center(line_length)[dec_length:])
-      formatted_lines = [line, padded_title, line] + formatted_lines + [line]
-    formatted_output = '\n'.join(formatted_lines)
-    return formatted_output
-
-  def GetSummary(self):
-    """Getter for summary."""
-    return self._summary
-
-  def _MakeUniqueFName(self, fname):
-    """prepend |_smid| to fname & rotate fname to ensure uniqueness.
-
-    Before saving a file through the StatsManager, make sure that the filename
-    is unique, first by prepending the smid if any and otherwise by appending
-    increasing integer suffixes until the filename is unique.
-
-    If |smid| is defined /path/to/example/file.txt becomes
-    /path/to/example/{smid}_file.txt.
-
-    The rotation works by changing /path/to/example/somename.txt to
-    /path/to/example/somename1.txt if the first one already exists on the
-    system.
-
-    Note: this is not thread-safe. While it makes sense to use StatsManager
-    in a threaded data-collection, the data retrieval should happen in a
-    single threaded environment to ensure files don't get potentially clobbered.
-
-    Args:
-      fname: filename to ensure uniqueness.
-
-    Returns:
-      {smid_}fname{tag}.[b].ext
-      the smid portion gets prepended if |smid| is defined
-      the tag portion gets appended if necessary to ensure unique fname
-    """
-    fdir = os.path.dirname(fname)
-    base, ext = os.path.splitext(os.path.basename(fname))
-    if self._smid:
-      base = '%s_%s' % (self._smid, base)
-    unique_fname = os.path.join(fdir, '%s%s' % (base, ext))
-    tag = 0
-    while os.path.exists(unique_fname):
-      old_fname = unique_fname
-      unique_fname = os.path.join(fdir, '%s%d%s' % (base, tag, ext))
-      self._logger.warning('Attempted to store stats information at %s, but '
-                           'file already exists. Attempting to store at %s '
-                           'now.', old_fname, unique_fname)
-      tag += 1
-    return unique_fname
-
-  def SaveSummary(self, directory, fname='summary.txt', prefix=STATS_PREFIX):
-    """Save summary to file.
-
-    Args:
-      directory: directory to save the summary in.
-      fname: filename to save summary under.
-      prefix: start every row in summary string with prefix, for easier reading.
-
-    Returns:
-      full path of summary save location
-    """
-    summary_str = self.SummaryToString(prefix=prefix) + '\n'
-    return self._SaveSummary(summary_str, directory, fname)
-
-  def SaveSummaryJSON(self, directory, fname='summary.json'):
-    """Save summary (only MEAN) into a JSON file.
-
-    Args:
-      directory: directory to save the JSON summary in.
-      fname: filename to save summary under.
-
-    Returns:
-      full path of summary save location
-    """
-    data = {}
-    for domain in self._summary:
-      unit = LONG_UNIT.get(self._unit[domain], self._unit[domain])
-      data_entry = {'mean': self._summary[domain]['mean'], 'unit': unit}
-      data[domain] = data_entry
-    summary_str = json.dumps(data, indent=2)
-    return self._SaveSummary(summary_str, directory, fname)
-
-  def SaveSummaryMD(self, directory, fname='summary.md'):
-    """Save summary into a MD file to paste into b/.
-
-    Args:
-      directory: directory to save the MD summary in.
-      fname: filename to save summary under.
-
-    Returns:
-      full path of summary save location
-    """
-    summary_str = self.SummaryToMarkdownString()
-    return self._SaveSummary(summary_str, directory, fname)
-
-  def _SaveSummary(self, output_str, directory, fname):
-    """Wrote |output_str| to |fname|.
-
-    Args:
-      output_str: formatted output string
-      directory: directory to save the summary in.
-      fname: filename to save summary under.
-
-    Returns:
-      full path of summary save location
-    """
-    if not os.path.exists(directory):
-      os.makedirs(directory)
-    fname = self._MakeUniqueFName(os.path.join(directory, fname))
-    with open(fname, 'w') as f:
-      f.write(output_str)
-    return fname
-
-  def GetRawData(self):
-    """Getter for all raw_data."""
-    return self._data
-
-  def SaveRawData(self, directory, dirname='raw_data'):
-    """Save raw data to file.
-
-    Args:
-      directory: directory to create the raw data folder in.
-      dirname: folder in which raw data live.
-
-    Returns:
-      list of full path of each domain's raw data save location
-    """
-    if not os.path.exists(directory):
-      os.makedirs(directory)
-    dirname = os.path.join(directory, dirname)
-    if not os.path.exists(dirname):
-      os.makedirs(dirname)
-    fnames = []
-    for domain, data in self._data.items():
-      if not domain.endswith(self._unit[domain]):
-        domain = '%s_%s' % (domain, self._unit[domain])
-      fname = self._MakeUniqueFName(os.path.join(dirname, '%s.txt' % domain))
-      with open(fname, 'w') as f:
-        f.write('\n'.join('%.2f' % sample for sample in data) + '\n')
-      fnames.append(fname)
-    return fnames