# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

      return any();
    }
  }

  /** Implementation of {@link #whitespace()}. */
  @VisibleForTesting
  static final class Whitespace extends NamedFastMatcher {

    // TABLE is a precomputed hashset of whitespace characters. MULTIPLIER serves as a hash function
    // whose key property is that it maps 25 characters into the 32-slot table without collision.

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

          // Skip stale entry.
          return false;
        }
      } finally {
        currentSegment.postReadCleanup();
      }
    }

    @Override
    public boolean hasNext() {
      return nextExternal != null;
    }

    WriteThroughEntry nextEntry() {
      if (nextExternal == null) {
        throw new NoSuchElementException();
      }

                try (CloseableIterator<SmbResource> it =
                        SmbEnumerationUtil.doEnum(this, "*", ATTR_DIRECTORY | ATTR_HIDDEN | ATTR_SYSTEM, null, null)) {
                    while (it.hasNext()) {
                        try (SmbResource r = it.next()) {
                            try {
                                r.delete();
                            } catch (final CIFSException e) {

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

                throw new SmbException(url.toString(), last);
            }
            throw (SmbException) last;
        }

        final Iterator iter = map.keySet().iterator();
        while (iter.hasNext()) {
            e = (FileEntry) iter.next();
            final String name = e.getName();
            if (fnf != null && !fnf.accept(this, name)) {
                continue;
            }

            reportSetMap = new java.util.LinkedHashMap<String, ReportSet>();
            if (getReportSets() != null) {
                for (java.util.Iterator<ReportSet> i = getReportSets().iterator(); i.hasNext(); ) {
                    ReportSet reportSet = (ReportSet) i.next();
                    reportSetMap.put(reportSet.getId(), reportSet);
                }
            }
        }

get from R to 2^(_W * n) R mod m (aka from one to R in // the Montgomery domain, meaning we can use Montgomery multiplication now). // We could do that by doubling _W * n times, or with a square-and-double // chain log2(_W * n) long. Turns out the fastest thing is to start out with // doublings, and switch to square-and-double once the exponent is large // enough to justify the cost of the multiplications. // The threshold is selected experimentally as a linear function of n. threshold := n / 4 //...