mirror of https://gitlab.com/bashrc2/epicyon
Static analysis on all source files
parent
a8a0465c01
commit
51db9230ae
64
blurhash.py
64
blurhash.py
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@ -8,8 +8,8 @@ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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* The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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* The above copyright notice and this permission notice shall be included
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in all copies or substantial portions of the Software.
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* You and any organization you work for may not promote white supremacy, hate
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speech and homo- or transphobia - this license is void if you do.
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@ -33,7 +33,9 @@ import math
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# Alphabet for base 83
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alphabet = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz#$%*+,-.:;=?@[]^_{|}~"
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alphabet = \
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"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" + \
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"abcdefghijklmnopqrstuvwxyz#$%*+,-.:;=?@[]^_{|}~"
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alphabet_values = dict(zip(alphabet, range(len(alphabet))))
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@ -55,7 +57,8 @@ def base83_encode(value, length):
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if the specified length is too short.
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"""
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if int(value) // (83 ** (length)) != 0:
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raise ValueError("Specified length is too short to encode given value.")
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raise ValueError("Specified length is too short to " +
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"encode given value.")
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result = ""
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for i in range(1, length + 1):
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@ -148,9 +151,12 @@ def blurhash_decode(blurhash, width, height, punch=1.0, linear=False):
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for component in range(1, size_x * size_y):
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ac_value = base83_decode(blurhash[4+component*2:4+(component+1)*2])
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colours.append((
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sign_pow((float(int(ac_value / (19 * 19))) - 9.0) / 9.0, 2.0) * real_max_value,
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sign_pow((float(int(ac_value / 19) % 19) - 9.0) / 9.0, 2.0) * real_max_value,
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sign_pow((float(ac_value % 19) - 9.0) / 9.0, 2.0) * real_max_value
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sign_pow((float(int(ac_value / (19 * 19))) - 9.0)
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/ 9.0, 2.0) * real_max_value,
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sign_pow((float(int(ac_value / 19) % 19) - 9.0)
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/ 9.0, 2.0) * real_max_value,
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sign_pow((float(ac_value % 19) - 9.0)
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/ 9.0, 2.0) * real_max_value
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))
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# Return image RGB values, as a list of lists of lists,
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@ -163,13 +169,15 @@ def blurhash_decode(blurhash, width, height, punch=1.0, linear=False):
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for j in range(size_y):
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for i in range(size_x):
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basis = math.cos(math.pi * float(x) * float(i) / float(width)) * \
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basis = \
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math.cos(math.pi * float(x) * float(i) /
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float(width)) * \
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math.cos(math.pi * float(y) * float(j) / float(height))
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colour = colours[i + j * size_x]
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pixel[0] += colour[0] * basis
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pixel[1] += colour[1] * basis
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pixel[2] += colour[2] * basis
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if linear == False:
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if linear is False:
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pixel_row.append([
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linear_to_srgb(pixel[0]),
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linear_to_srgb(pixel[1]),
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@ -183,15 +191,18 @@ def blurhash_decode(blurhash, width, height, punch=1.0, linear=False):
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def blurhash_encode(image, components_x=4, components_y=4, linear=False):
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"""
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Calculates the blurhash for an image using the given x and y component counts.
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Calculates the blurhash for an image using the given x and y
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component counts.
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Image should be a 3-dimensional array, with the first dimension being y, the second
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being x, and the third being the three rgb components that are assumed to be 0-255
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srgb integers (incidentally, this is the format you will get from a PIL RGB image).
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Image should be a 3-dimensional array, with the first dimension
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being y, the second being x, and the third being the three rgb
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components that are assumed to be 0-255 srgb integers
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(incidentally, this is the format you will get from a PIL RGB image).
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You can also pass in already linear data - to do this, set linear to True. This is
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useful if you want to encode a version of your image resized to a smaller size (which
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you should ideally do in linear colour).
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You can also pass in already linear data - to do this, set linear
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to True. This is useful if you want to encode a version of your
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image resized to a smaller size (which you should ideally do in
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linear colour).
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"""
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if components_x < 1 or components_x > 9 or \
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components_y < 1 or components_y > 9:
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@ -202,7 +213,7 @@ def blurhash_encode(image, components_x=4, components_y=4, linear=False):
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# Convert to linear if neeeded
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image_linear = []
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if linear == False:
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if linear is False:
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for y in range(int(height)):
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image_linear_line = []
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for x in range(int(width)):
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@ -224,7 +235,9 @@ def blurhash_encode(image, components_x=4, components_y=4, linear=False):
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component = [0.0, 0.0, 0.0]
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for y in range(int(height)):
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for x in range(int(width)):
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basis = norm_factor * math.cos(math.pi * float(i) * float(x) / width) * \
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basis = \
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norm_factor * \
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math.cos(math.pi * float(i) * float(x) / width) * \
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math.cos(math.pi * float(j) * float(y) / height)
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component[0] += basis * image_linear[y][x][0]
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component[1] += basis * image_linear[y][x][1]
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@ -236,7 +249,8 @@ def blurhash_encode(image, components_x=4, components_y=4, linear=False):
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components.append(component)
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if not (i == 0 and j == 0):
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max_ac_component = max(max_ac_component,abs(component[0]),
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max_ac_component = \
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max(max_ac_component, abs(component[0]),
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abs(component[1]), abs(component[2]))
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# Encode components
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@ -251,10 +265,16 @@ def blurhash_encode(image, components_x=4, components_y=4, linear=False):
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ac_values = []
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for r, g, b in components[1:]:
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r2 = r / ac_component_norm_factor
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g2 = g / ac_component_norm_factor
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b2 = b / ac_component_norm_factor
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r3 = math.floor(sign_pow(r2, 0.5) * 9.0 + 9.5)
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g3 = math.floor(sign_pow(g2, 0.5) * 9.0 + 9.5)
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b3 = math.floor(sign_pow(b2, 0.5) * 9.0 + 9.5)
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ac_values.append(
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int(max(0.0,min(18.0,math.floor(sign_pow(r / ac_component_norm_factor, 0.5) * 9.0 + 9.5)))) * 19 * 19 + \
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int(max(0.0,min(18.0, math.floor(sign_pow(g / ac_component_norm_factor, 0.5) * 9.0 + 9.5)))) * 19 + \
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int(max(0.0,min(18.0, math.floor(sign_pow(b / ac_component_norm_factor, 0.5) * 9.0 + 9.5))))
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int(max(0.0, min(18.0, r3))) * 19 * 19 +
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int(max(0.0, min(18.0, g3))) * 19 +
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int(max(0.0, min(18.0, b3)))
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)
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# Build final blurhash
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@ -10,9 +10,6 @@ echo "Starting static analysis"
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for sourceFile in *.py
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do
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if [[ "$sourceFile" == 'blurhash.py' ]]; then
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continue
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fi
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result=$($cmd "$sourceFile")
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if [ "$result" ]; then
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echo ''
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