lambdabaa

lambdabaa

#!/usr/bin/env python3

import collections
import json
import os
import random
import re
import sys

IDENT = re.compile(r'^[_a-zA-Z][_a-zA-Z0-9]*$')

lambdabaa

C:/msys64/home/Ari/tensorflow/tensorflow/lite/tools/make/gen/windows_x86_64/lib/libtensorflow-lite.a(interpreter.o):interpreter.cc:(.text+0x105d): undefined reference to `tflite::ResourceVariable::~ResourceVariable()'

lambdabaa

loss: 1.7888 - acc: 0.6229 - top_k_categorical_accuracy: 0.8030 - val_loss: 2.3576 - val_acc: 0.5946 - val_top_k_categorical_accuracy: 0.7691

lambdabaa

CompletionSuggestion fields used by intellij

• completion
• element
• relevance
• kind
• elementUri
• parameterNames
• defaultArgumentListString

lambdabaa

CompletionSuggestion fields used by intellij

• completion
• location
• relevance
• displayText
• kind
• elementUri
• parameterNames

lambdabaa

ariaye-macbookpro2:~ ariaye$ diff sdk/pkg/analysis_server/tool/spec/generated/java/AnalysisServer.java intellij-plugins/Dart/thirdPartySrc/analysisServer/com/google/dart/server/generated/AnalysisServer.java | grep public
<   public void analysis_getSignature(String file, int offset, GetSignatureConsumer consumer);
<   public void edit_dartfix(List<String> included, DartfixConsumer consumer);
<   public void execution_getSuggestions(String code, int offset, String contextFile, int contextOffset, List<RuntimeCompletionVariable> variables, List<RuntimeCompletionExpression> expressions, GetSuggestionsConsumer consumer);
>   public void execution_getSuggestions(String code, int offset, String contextFile, int contextOffset, List<RuntimeCompletionVariable> variables, List<RuntimeCompletionExpression> expressions, GetRuntimeCompletionConsumer consumer);
<   public void flutter_getChangeAddForDesignTimeConstructor(String file, int offset, GetChangeAddForDesignTimeConstructorConsumer consumer);
<   public void flutter

lambdabaa

#!/usr/bin/env python

from PIL import Image
import csv
import cairocffi as cairo
import json
import numpy as np
import os

# See https://github.com/googlecreativelab/quickdraw-dataset/issues/19

lambdabaa

st-ari1:lib ari$ ./train.py -h
usage: train.py [-h] [--debug DEBUG] [--doubleSampleSpam DOUBLESAMPLESPAM]
                [--rank RANK] [--rare2unknown RARE2UNKNOWN]
                [--stemmer STEMMER] [--tfidf TFIDF]

Train a svm based spam classifier.

optional arguments:
  -h, --help            show this help message and exit
  --debug DEBUG         whether or not to print debug messages

lambdabaa

waitForFullyLoaded: function() {
  return this.client.findElement('body').then(function(body) {
    // XXX: Need to hack client.waitFor to handle promises
    return this.client.waitFor(function() {
      return body.getAttribute('ready-state').then(function(readyState) {
        return readyState === 'fullyLoaded';
      });
    });
  }.bind(this));
},