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import re

from pyspark.sql import DataFrame

def get_pyspark_dataframe_schema(df: DataFrame) -> str:
    """Output the DataFrame schema to easily be included when constructing a new PySpark DataFrame."""

    # characters to include for tab, since python, using four spaces
    tab = '    '

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def copy_to_clipboard(string: str) -> None:
    """
    Copy a string to the system clipboard.
    
    .. note::
        This leans on Pandas, so it will not work unless Pandas is installed.
    """
    # ensure Pandas is installed and available
    if not importlib.util.find_spec('pandas'):
        raise EnvironmentError('copy_to_clipboard requires Pandas. Please ensure Pandas is installed in the environment to use.')

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from functools import lru_cache
from typing import Union, List, Optional

from arcgis.geoenrichment import Country
from arcgis.geometry import Polygon
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin

__all__ = ['EnrichBase', 'EnrichPolygon', 'EnrichStandardGeography', 'KeepOnlyEnrichColumns', 'ArrayToDataFrame']

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from hashlib import md5
import pandas as pd
from typing import Optional, Iterable

def get_md5_from_series(input_iterable: Iterable) -> str:
    """
    Create a MD5 hash from an Iterable, typically a row from a Pandas ``DataFrame``, but can be any
    Iterable object instance such as a list, tuple or Pandas ``Series``.
    
    Args:

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import logging
from pathlib import Path
from typing import Union


def get_logger(log_path: Union[str, Path] = 'logfile.log', log_name: str = 'logger', log_level: int = logging.ERROR):
    """
    Standardized way to create a console and file logger in one.
    
    Args:

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import psutil
import platform
from datetime import datetime

def get_size(bytes, suffix="B"):
    """
    Scale bytes to its proper format
    e.g:
        1253656 => '1.20MB'
        1253656678 => '1.17GB'

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import math

from arcgis.geometry import Polygon


def get_simplified_polygon(geometry: Polygon, simplification_factor: float = 0.1) -> Polygon:
    
    # ensure working with a polygon
    assert isinstance(geometry, Polygon)

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name: arcgis

channels:
  - esri
  - conda-forge

dependencies:
  - arcgis
  - arcpy
  - jupyterlab

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def pro_at_least_version(version: str) -> bool:
    """
    Test the current ArcGIS Pro version to be equal or greater than.
    Args:
        version: Version number eg ('2', '2.1', '2.8.1')
    Returns:
        Boolean indicating if version is at least or greater than specified version.
    """
    
    # late import since may or may not already be loaded

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