# coding=utf8
# the above tag defines encoding for this document and is for Python 2.x compatibility
import re
regex = r"Size: (?:\d*X[SL]|L|M|S|\d+W)(?:-(?:\d*X[LS]|L|M|S|\d+W))*,"
test_str = ("Athletics, Fitted, Mesh, Feature_Moisture Wicking, Material_Polyester 100%, , Material_Polyester 100%, Material_Polyester Over 50%, School, Style_Short Sleeves, Size_2XL, Size_L, Size_M, Size_S, Size_XL, Size_XS, Size: XS-S-M-L-XL-2XL, Uniforms, Unisex, V-Neck, VisibleLogos, Youth\n\n"
"\"Weight_8-8.9oz, Adult, Age_Adult, Feature_Cotton-Combed, Embroidered, Fit_Mens, Apparel Type_Pants, Feature_Pockets, Material_Polyester 100%, , Material_Polyester Over 50%, Size: 32W, Size: 34W, Size: 36W, Size: 38W, Size: 40W, Size: 42W, Size: 44W, Size: 46W, Size: 48W, Size: 50W, Size: 50W-32W-34W-36W-38W-40W-42W-44W-46W-48W, Uniforms, Workwear\"\n\n"
"\"Weight_5-5.9oz, Adult, Age_Adult, Feature_Cotton-Combed, Embroidered, Fit_Mens, Feature_Pockets, Material_Polyester 100%, , Material_Polyester Over 50%, Style_Short Sleeves, Size_2XL, Size_3XL, Size_4XL, Size_L, Size_M, Size_S, Size_XL, Uniforms, Workwear\"\n\n"
"\"Weight_5-5.9oz, Adult, Age_Adult, Feature_Cotton-Combed, Syle_Long Sleeves, Fit_Mens, Feature_Pockets, Material_Polyester 100%, , Material_Polyester Over 50%, Size_2XLT, Size_LT, Size_LT-XLT-2XLT, Size_XLT, Talls, Uniforms, Workwear\"\n\n"
"\"Weight_5-5.9oz, Adult, Age_Adult, Feature_Cotton-Combed, Embroidered, Syle_Long Sleeves, Fit_Mens, Feature_Pockets, Material_Polyester 100%, , Material_Polyester Over 50%, Size_2XL, Size_3XL, Size_4XL, Size_L, Size_M, Size_S, Size_XL, Uniforms, Workwear\"\n\n"
"\"Weight_4-4.9oz, Adult, Age_Adult, Material_Cotton 100%, Feature_Cotton-Combed, Feature_Ringspun Cotton, Collar Style_Crewneck, Jersey, Fit_Juniors, Weight_Light(Under 5 oz), Material_Cotton 100%, Feature_No Visible Logos, Style_Short Sleeves, Feature_Side Seams, Feature_Side Seams, Size_2XL, Size_3XL, Size_L, Size_M, Size_S, Size_XL, Tag Style_Tear Away, Feature_USA Made, Womens\"\n\n"
"\"Product Type_Accessories, Size_Adjustable, Adult, Age_Adult, Feature_American Made, Material_Cotton 100%, Material_Cotton Over 50%, Embroidered, GarmentWashed, Product Type_Headwear, Hat Styles_Low Profiles, Material_Cotton 100%, Feature_No Visible Logos, Hat Style_Pre-Curved Visor, Hat Style_Six Panel, Size_Size_Adjustable, UnHat Style_Structured, Feature_USA Certified, USAMade\"\n\n"
"\"Product Type_Accessories, Size_Adjustable, Adult, Age_Adult, Feature_American Made, Material_Cotton 100%, Material_Cotton Over 50%, Embroidered, GarmentWashed, Product Type_Headwear, Hat Styles_Low Profiles, Material_Cotton 100%, Feature_No Visible Logos, Hat Style_Pre-Curved Visor, Style_Relaxed, Hat Style_Six Panel, Size_Size_Adjustable, UnHat Style_Structured, Feature_USA Certified, USAMade\"\n\n\n\n\n\n"
"Size: 30W-40W,")
matches = re.finditer(regex, test_str, re.MULTILINE)
for matchNum, match in enumerate(matches, start=1):
print ("Match {matchNum} was found at {start}-{end}: {match}".format(matchNum = matchNum, start = match.start(), end = match.end(), match = match.group()))
for groupNum in range(0, len(match.groups())):
groupNum = groupNum + 1
print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = match.start(groupNum), end = match.end(groupNum), group = match.group(groupNum)))
# Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.
Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Python, please visit: https://docs.python.org/3/library/re.html