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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 dump(self, dest_pattern="{id}.jpg", override=True, mask=False, alpha=False, bits=8, zoom=None, max_size=None, increase_area=None, contrast=None, gamma=None, colormap=None, inverse=None):
 """ Download the annotation crop, with optional image modifications. Parameters dest_pattern : str, optional Destination path for the downloaded image. "{X}" patterns are replaced by the value of X attribute if it exists. override : bool, optional True if a file with same name can be overrided by the new file. mask : bool, optional True if a binary mask based on given annotations must be returned, False otherwise. alpha : bool, optional True if image background (outside annotations) must be transparent, False otherwise. zoom : int, optional Optional image zoom number bits : int (8,16,32) or str ("max"), optional Bit depth (bit per channel) of returned image. "max" returns the original image bit depth max_size : int, tuple, optional Maximum size (width or height) of returned image. None to get original size. increase_area : float, optional Increase the crop size. For example, an annotation whose bounding box size is (w,h) will have a crop dimension of (w*increase_area, h*increase_area). contrast : float, optional Optional contrast applied on returned image. gamma : float, optional Optional gamma applied on returned image. colormap : int, optional Cytomine identifier of a colormap to apply on returned image. inverse : bool, optional True to inverse color mapping, False otherwise. Returns ------- downloaded : bool True if everything happens correctly, False otherwise. As a side effect, object attribute "filename" is filled with downloaded file path. """

        if self.id is None:
            raise ValueError("Cannot dump an annotation with no ID.")

        pattern = re.compile("{(.*?)}")
        dest_pattern = re.sub(pattern, lambda m: str(getattr(self, str(m.group(0))[1:-1], "_")), dest_pattern)

        destination = os.path.dirname(dest_pattern)
        filename, extension = os.path.splitext(os.path.basename(dest_pattern))
        extension = extension[1:]

        if extension not in ("jpg", "png", "tif", "tiff"):
            extension = "jpg"

        if not os.path.exists(destination):
            os.makedirs(destination)

        parameters = {
            "zoom": zoom,
            "maxSize": max_size,
            "increaseArea": increase_area,
            "contrast": contrast,
            "gamma": gamma,
            "colormap": colormap,
            "inverse": inverse,
            "bits": bits
        }

        if mask and alpha:
            image = "alphamask"
            if extension == "jpg":
                extension = "png"
        elif mask:
            image = "mask"
        else:
            image = "crop"

        file_path = os.path.join(destination, "{}.{}".format(filename, extension))

        url = self.cropURL.replace("crop.jpg", "{}.{}".format(image, extension))
        result = Cytomine.get_instance().download_file(url, file_path, override, parameters)
        if result:
            self.filename = file_path
        return result