These are vtg USA made GAP loose fit tapered denim jeans tagged size 10 LONG. They are red and from the 80s/90s. These jeans are used/pre-owned and show some light fading, wear, and some spots/discoloration here and there from age/wash/use.

Closure: Button
Size: 10 LONG
Waist Size: 29 in
Color: Red
Suspender Buttons/Belt Loops: Belt Loops
Material: Cotton
Fabric Type: Denim
Rise: High (Greater than 10.5 in)
Brand: Gap
Size Type: Tall
Department: Women
Type: Jeans
Leg Style: Tapered
Inseam: 32 in
Style: Tapered
Theme: 90s
Country of Origin: United States
Waist: 14.5 inches
Hips: 21 inches
Rise: 11.5 inches
Leg Opening: 6.5 inches

#women #sleeves #style #women #casual #dress #wearable

---

Input:
#men #shoes #sneakers #leather #black #size #9 #wmn #sport #women #style #running

Output:
#men #sneakers #leather #size #9 #style #women

Comment:
Did not fit: #shoes #sport

---

Input:
#women #dress #longsleeve #floral #floralprint #summer #beach #fashion #easy #style #floral #women #casual

Output:
#women #dress #floralprint #long sleeve #summer #beach #fashion #easy

Comment:
Did not fit: #floral #style
```

```python
def process_tags(tags):
"""
Processes a list of mechanically generated tags applying the specified rules.

Args:
tags: A list of strings where each string is a tag.

Returns:
A string containing the processed tags separated by commas.
"""
processed_tags = []
for tag in tags:
if tag == "#" or tag == " " :
continue

if "brand" in tag or "size" in tag or "color" in tag:
continue

if "n/a" in tag or "none" in tag or "undefined" in tag:
continue

if any(char.isdigit() for char in tag):
continue

if any(char in ["-" "n/a" "none" "undefined" "no" "yes" "unknown"] for char in tag):
continue

if tag == "#adjustablestrap" or tag == "#allseasons" or tag == "#slimfit" or tag == "#dressshirt" or tag == "#buttonup" or tag == "#longsleeve":
continue

processed_tags.append(tag)

if not processed_tags:
return ""

result = " ".join(processed_tags)
return result
```