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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def find_file(path, saltenv='base', **kwargs):
    '''
    Look through the buckets cache file for a match.
    If the field is found, it is retrieved from S3 only if its cached version
    is missing, or if the MD5 does not match.
    '''
    if 'env' in kwargs:
        # "env" is not supported; Use "saltenv".
        kwargs.pop('env')

    fnd = {'bucket': None,
           'path': None}

    metadata = _init()
    if not metadata or saltenv not in metadata:
        return fnd

    env_files = _find_files(metadata[saltenv])

    if not _is_env_per_bucket():
        path = os.path.join(saltenv, path)

    # look for the files and check if they're ignored globally
    for bucket in env_files:
        for bucket_name, files in six.iteritems(bucket):
            if path in files and not fs.is_file_ignored(__opts__, path):
                fnd['bucket'] = bucket_name
                fnd['path'] = path
                break
        else:
            continue  # only executes if we didn't break
        break

    if not fnd['path'] or not fnd['bucket']:
        return fnd

    cached_file_path = _get_cached_file_name(fnd['bucket'], saltenv, path)

    # jit load the file from S3 if it's not in the cache or it's old
    _get_file_from_s3(metadata, saltenv, fnd['bucket'], path, cached_file_path)

    return fnd