Add option to remove time codes in text

[rosanna-smith]

Similar to this step in the original CA notebook:

Remove any time codes
This step will search for any timecodes in formats like (~0:33) and (~10:00).

before = df["text"].copy()

df["text"] = df["text"].str.replace(r'^\([\~0-9][\~0-9:\.]*\) ', '', regex=True)
df["text"] = df["text"].str.replace(r' \([\~0-9][\~0-9:\.]*\) ', ' ', regex=True)
df["text"] = df["text"].str.replace(r' \([\~0-9][\~0-9:\.]*\)$', ' ', regex=True)
df["text"] = df["text"].str.replace(r'^\([\~0-9][\~0-9:\.]*\)', '', regex=True)
df["text"] = df["text"].str.replace(r'\([\~0-9][\~0-9:\.]*\)', ' ', regex=True)
df["text"] = df["text"].str.replace(r'\([\~0-9][\~0-9:\.]*\)$', ' ', regex=True)

with open("timecodes_log.txt", "w", encoding="utf-8") as log:
    for i, (b, a) in enumerate(zip(before, df["text"])):
        if b != a:
            log.write("CHANGED:\n")
            log.write(str(b) + "\n")
            log.write("→\n")
            log.write(str(a) + "\n")
            log.write("-" * 40 + "\n")

Another format of time stamps to optionally remove are on a separate line, e.g.

06:11-06:13

If we want to keep the time codes, we could also add an option to put this in a separate column in the csv output.