| Aspect | Implication |
|--------|--------------|
| All non-English | Potentially large memory footprint if input is huge. Streaming recommended. |
| Language detection | High CPU cost. Use fast models (e.g., fasttext-langdetect, cld3). |
| Binary output | Reduces storage compared to text, but not human-readable. Use schema versioning. |
Use langdetect or fasttext to identify non‑English text.
from langdetect import detect, LangDetectException
def is_english(text): try: return detect(text) == 'en' except LangDetectException: return False # unidentifiable -> treat as non-english for safety
Create a binning function that separates English from non‑English and writes the latter to a binary file.
import struct import pickledef fg_selective_all_nonenglish_bin(input_texts, bin_file_path="nonenglish.bin"): """ Foreground, selective process: moves all non-English strings into a binary bin. """ non_english_items = [] for text in input_texts: if not is_english(text): non_english_items.append(text)
# Serialize to binary (e.g., using pickle or custom binary format) with open(bin_file_path, "wb") as bin_f: pickle.dump(non_english_items, bin_f) print(f"Binned len(non_english_items) non-English items to bin_file_path") return non_english_items
Given the ambiguous nature of fgselectiveallnonenglishbin, here are two other possible meanings:
| Component | Alternate Meaning |
|-----------|------------------|
| fg | “Fuzzy grep” – a selective pattern matcher |
| selective | Not all non‑English, but those matching a regex |
| all | Across all input streams |
| nonenglish | Characters outside ASCII (e.g., Unicode > U+007F) |
| bin | Destination directory or binary decision (0/1) | fgselectiveallnonenglishbin
In that alternate world, the flag would:
“For fuzzy grep, selectively (using a threshold) decide for all characters whether each is non‑ASCII; output binary flags.”
But the most practical and common interpretation remains the language‑based sorting into a binary container.