code: def generate_range_count(
      start=None, end=None, periods=None, offset=None
  ):  # pragma: no cover
      offset = to_offset(offset)
  
      start = Timestamp(start)
      start = start if start is not NaT else None
      end = Timestamp(end)
      end = end if end is not NaT else None
  
      if start and not offset.is_on_offset(start):
          start = offset.rollforward(start)
  
      elif end and not offset.is_on_offset(end):
          end = offset.rollback(end)
  
      if periods is None and end < start and offset.n >= 0:
          end = None
          periods = 0
  
      if end is None:
          end = start + (periods - 1) * offset
  
      if start is None:
          start = end - (periods - 1) * offset
  
      cur = start
      count = 0
      if offset.n >= 0:
          while cur <= end:
              count += 1
  
              if cur == end:
                  # GH#24252 avoid overflows by not performing the addition
                  # in offset.apply unless we have to
                  break
  
              # faster than cur + offset
              try:
                  next_date = offset._apply(cur)
              except AttributeError:
                  next_date = cur + offset
              if next_date <= cur:
                  raise ValueError(
                      f"Offset {offset} did not increment date"
                  )
              cur = next_date
      else:
          while cur >= end:
              count += 1
  
              if cur == end:
                  # GH#24252 avoid overflows by not performing the addition
                  # in offset.apply unless we have to
                  break
  
              # faster than cur + offset
              try:
                  next_date = offset._apply(cur)
              except AttributeError:
                  next_date = cur + offset
              if next_date >= cur:
                  raise ValueError(
                      f"Offset {offset} did not decrement date"
                  )
              cur = next_date
      return count
  
imports: import warnings
  from datetime import datetime, date, time
  import numpy
  import pandas
  from pandas import Timestamp, NaT
  from pandas.tseries.frequencies import to_offset
  from pandas.tseries.offsets import Tick
  from pandas._libs.tslibs import timezones
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...serialization.serializables import AnyField, Int64Field, BoolField, StringField
  from ...tensor.utils import decide_chunk_sizes
  from ...utils import pd_release_version, no_default
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 1 for calling a global function with example usage: generate_range_count(start, end, periods, offset) and returns: count