How to use the deid.dicom.replace_identifiers function in deid

sys.exit(1)
        ids = args.ids

    # GET identifiers
    if do_get is True:
        from deid.dicom import get_identifiers
        ids = get_identifiers(dicom_files)
        if args.do_print is True:
            print(ids)
        else:
            from deid.identifiers import save_identifiers
            save_identifiers(ids,output_folder)

    if do_put is True:           
       from deid.dicom import replace_identifiers
       cleaned_files = replace_identifiers(dicom_files=dicom_files,
                                           ids=ids,
                                           deid=args.deid,
                                           overwrite=args.overwrite,
                                           output_folder=output_folder)
       bot.info("%s %s files at %s" %(len(cleaned_files),
                                      args.format,
                                      output_folder))

test_file = read_file(cleaned_files[0])


# test_file
# (0008, 0018) SOP Instance UID                    UI: cookiemonster-image-1
# (0010, 0020) Patient ID                          LO: 'cookiemonster'
# (0012, 0062) Patient Identity Removed            CS: 'Yes'
# (0028, 0002) Samples per Pixel                   US: 3
# (0028, 0010) Rows                                US: 1536
# (0028, 0011) Columns                             US: 2048
# (7fe0, 0010) Pixel Data                          OB: Array of 738444 bytes


# Different output folder
cleaned_files = replace_identifiers(
    dicom_files=dicom_files, deid=recipe, ids=updated_ids, output_folder="/tmp/"
)

# Force overwrite (be careful!)
cleaned_files = replace_identifiers(
    dicom_files=dicom_files,
    deid=recipe,
    ids=updated_ids,
    output_folder="/tmp/",
    overwrite=True,
)

bigint_uid = str(uuid.uuid4().int)
    full_uid = ORG_ROOT + "." + bigint_uid
    sliced_uid = full_uid[0:64]  # A DICOM UID is limited to 64 characters
    return prefix + "-" + sliced_uid


# Remember, the action is:
# REPLACE StudyInstanceUID func:generate_uid
# so the key needs to be generate_uid

for item in items:
    items[item]["generate_uid"] = generate_uid

# Now let's generate the cleaned files! It will output to a temporary directory
# And then use the deid recipe and updated to create new files
cleaned_files = replace_identifiers(dicom_files=dicom_files, deid=recipe, ids=items)


# Print a cleaned file
print(cleaned_files[0])

def generate_date(item, value, field, dicom):
    """This function will generate a dicom uid! You can expect it to be passed
       the dictionary of items extracted from the dicom (and your function)
       and variables, the original value (func:generate_uid) and the field
       object you are applying it to.
    """
    return "20200608"


# Add the function to each item to be found
for item in items:
    items[item]["generate_date"] = generate_date

# Clean the files
cleaned_files = replace_identifiers(
    dicom_files=dicom_files, deid=recipe, strip_sequences=False, ids=items
)

# Print two instances (one in sequence)
print(cleaned_files[0].InstanceCreationDate)
print(cleaned_files[0].ReferencedPerformedProcedureStepSequence[0].InstanceCreationDate)

# (0008, 0018) SOP Instance UID                    UI: cookiemonster-image-1
# (0010, 0020) Patient ID                          LO: 'cookiemonster'
# (0012, 0062) Patient Identity Removed            CS: 'Yes'
# (0028, 0002) Samples per Pixel                   US: 3
# (0028, 0010) Rows                                US: 1536
# (0028, 0011) Columns                             US: 2048
# (7fe0, 0010) Pixel Data                          OB: Array of 738444 bytes


# Different output folder
cleaned_files = replace_identifiers(
    dicom_files=dicom_files, deid=recipe, ids=updated_ids, output_folder="/tmp/"
)

# Force overwrite (be careful!)
cleaned_files = replace_identifiers(
    dicom_files=dicom_files,
    deid=recipe,
    ids=updated_ids,
    output_folder="/tmp/",
    overwrite=True,
)

# Let's be lazy and just update the extracted ones
updated_ids = dict()
count = 0
for image, fields in ids.items():
    fields["id"] = "cookiemonster"
    fields["source_id"] = "cookiemonster-image-%s" % (count)
    updated_ids[image] = fields
    count += 1

# You can look at each of the updated_ids entries and see the added variables
#  'id': 'cookiemonster',
#  'source_id': 'cookiemonster-image-2'}}

# And then use the deid recipe and updated to create new files
cleaned_files = replace_identifiers(
    dicom_files=dicom_files, deid=recipe, ids=updated_ids
)


# We can load in a cleaned file to see what was done
from pydicom import read_file

test_file = read_file(cleaned_files[0])


# test_file
# (0008, 0018) SOP Instance UID                    UI: cookiemonster-image-1
# (0010, 0020) Patient ID                          LO: 'cookiemonster'
# (0012, 0062) Patient Identity Removed            CS: 'Yes'
# (0028, 0002) Samples per Pixel                   US: 3
# (0028, 0010) Rows                                US: 1536