How to use _save_to_file method in avocado

Best Python code snippet using avocado_python

camera_bitdepth_tests.py

Source:camera_bitdepth_tests.py

...26    ax = plt.gca()27    ax.set_yscale('log')28    plt.show()29@timeit30def _save_to_file(data: np.ndarray, fname) -> None:31    """Saves a 3D RGB numpy array to a png"""32    shifted_data = np.left_shift(data, 4)33    #write_png(fname, shifted_data, bitdepth=16)34    cv2.imwrite(fname, data,)35##@timeit36##def _save_to_file(data: np.ndarray, fname) -> None:37##    data = np.reshape(data, (-1, data.shape[2]))38##    png.from_array(data, 'RGB;16').save(fname)39##@timeit40##def _save_to_file(data: np.ndarray, fname) -> None:41##    z=data42##    print(data)43##    # Use pypng to write z as a color PNG.44##    with open(fname, 'wb') as f:45##        writer = png.Writer(width=z.shape[0], height=z.shape[1], bitdepth=16)46##        # Convert z to the Python list of lists expected by47##        # the png writer.48##        z2list = np.transpose(z, axes=((0, 2, 1)))49##        #z2list = z2list.reshape(-1, z.shape[0]).tolist()50##        z2list = z.tolist()51##        print(z2list)52##        writer.write(f, z2list)53        54@timeit55def _open_file(f) -> np.ndarray:56    #Tried Pillow/PIL, cv2, scipy, imageio57    """Loads an image file and returns the data as a 3d array"""58    #reader = png.Reader(f)59    #ny, nx, image_gen, *_ = reader.read()60    #data = np.array(list(map(np.uint16, image_gen)))61    #data = data.reshape(nx, ny, 3)62    63    data = cv2.imread(f, -1)64    65    shifted_data = np.right_shift(data, 4)66    67    return shifted_data68def _describe_array(arr: np.ndarray) -> None:69    """prints array properties"""70    print("Array shape: {}".format(np.shape(arr)))71    print("Array dtype: {}".format(arr.dtype))72    print("All bits or'd: {}".format(bin(_determine_bit_depth(arr))))73    print("Max: {}".format(np.max(arr)))74    print("Min: {}".format(np.min(arr)))75    print()76def _determine_bit_depth(numbers: np.ndarray) -> np.uint16:77    """Performs a bitwise or operator between all elements in the array and returns the result"""78    numbers_flat = np.ndarray.flatten(numbers)79    return np.bitwise_or.reduce(numbers_flat)80def _generate_toy_image() -> np.ndarray:81    """Generates a random color image"""82    shape = (1216, 1936, 3)83    #shape = (4, 5, 3)84    data = np.random.randint(low=0, high=2**16, size=np.prod(shape), dtype=np.uint16).reshape(shape)85    #make data 12 bit86    data = np.right_shift(data, 4)87    return data88def _test_save_and_load():89    #generate data to save90    toy_data = _generate_toy_image()91    _describe_array(toy_data)92    #setup file to save the data as93    f1 = os.path.join("./", "test1.png")94    f2 = os.path.join("./", "test2.png")95    #save the data96    _save_to_file(data=toy_data, fname=f1)97    #load the data98    toy_data_load = _open_file(f1)99    _describe_array(toy_data_load)100    print("Loaded and save arrays are:")101    if np.array_equal(toy_data, toy_data_load):102        print("Identical")103    else:104        print("Different")105    #save the data106    _save_to_file(data=toy_data_load, fname=f2)107    108def _np_load_save_benchmark():109    f = os.path.join("./", "test.npy")110    data = _aquire_image()111    @timeit112    def save():113        np.save(f, data, allow_pickle=False)114    @timeit115    def load():116        return(np.load(f))117    save()118    out = load()119    assert np.array_equal(data, out), "arrays are not the same"120    ...

FileHandler.py

Source:FileHandler.py

...4from typing import List5class FileHandler:6    @staticmethod7    def write_append_to_file(path: str, text: str) -> bool:8        return FileHandler._save_to_file(path, "a", text)9    10    @staticmethod11    def write_to_file(path: str, text: str) -> bool:12        return FileHandler._save_to_file(path, "w", text)13    @staticmethod14    def read_from_file(path: str) -> List[str]:15        return FileHandler._load_from_file_get_list(path, "r")16    @staticmethod17    def _save_to_file(path, mode, text) -> bool:18        try:19            with io.open(path, mode, encoding='utf8') as f:20                f.write(text)21                f.close()22        except:23            return False24        return True25            26    27    @staticmethod28    def _load_from_file_get_list(path, mode) -> List[str]:29        cont = []30        try:31            with io.open(path, mode, encoding='utf8') as f:...

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