Java 8 Streams – how to compare elements?

I want to find anagrams in .txt file using Java Stream. Here what I have: InputStream is = new URL(“http://wiki.puzzlers.org/pub/wordlists/unixdict.txt”).openConnection().getInputStream(); BufferedReader reader = new BufferedReader(new InputStreamReader(is)); Stream<String> stream = reader.lines()) { And method for anagrams: public boolean isAnagram(String firstWord, String secondWord) { char[] word1 = firstWord.replaceAll(“[\\s]”, “”).toCharArray(); char[] word2 = secondWord.replaceAll(“[\\s]”, “”).toCharArray(); Arrays.sort(word1); Arrays.sort(word2); return…

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unable to load asset [flutter]

I tried yesterday to put an image and it was working just fine but when I tried to run it again it gave me this error: Restarted application in ٢٬٧٦٥ms. [38;5;248m════════ Exception caught by image resource service ════════════════════════════[39;49m [38;5;244mThe following assertion was thrown resolving an image codec:[39;49m Unable to load asset: cat.jpg [38;5;244mWhen the exception…

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Keras No data provided for “

I’m getting the following error (the one in the title) and I couldn’t find any questions on stackoverflow that resolve my issue, I’m including the code below: def build_model(embed_df,ohe_df): models= [] inputs = [] for col in embed_df: vocab_size = embed_df[col].nunique() input1 = tf.keras.layers.Input(shape=(1,),name=’embed’+’_’+col) inputs.append(input1) embed1 = tf.keras.layers.Embedding(vocab_size,200,\ trainable=True,embeddings_initializer=’uniform’)(input1) embed_rehsaped =tf.keras.layers.Reshape(target_shape=(200,))(embed1) models.append(embed_rehsaped) #input2 = tf.keras.layers.Input(shape=(len(ohe_df)),\…

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