I hereby claim:
- I am ragnarok22 on github.
- I am ragnarok22 (https://keybase.io/ragnarok22) on keybase.
- I have a public key whose fingerprint is ED67 71E0 58A1 FEEB E6A7 125F 2734 2BCD EEC2 FC48
To claim this, I am signing this object:
def is_anagram(word1: str, word2: str) -> bool: | |
"""Determine if two words are anagram | |
:param word1: word to check if is an anagram | |
:param word2: word to check if is an anagram | |
:return: True whether the words are anagram or False otherwise | |
""" | |
if word1 == word2: | |
return True | |
elif len(word1) != len(word2): |
#!/bin/bash | |
# CONSTANTS | |
# In case your proxy is without user and password just replace this line with | |
# HTTP:_PROXY="http://host:port" | |
# host is the proxy host. Ex: proxy.example.com or 192.168.1.50 | |
# port is the proxy port. Ex: 3128 or 8080 | |
HTTP_PROXY="http://user:password@host:port" | |
HTTPS_PROXY=$HTTP_PROXY |
I hereby claim:
To claim this, I am signing this object:
/*! debug.css | MIT License | https://gist.github.com/zaydek/6b2e55258734deabbd2b4a284321d6f6 */ | |
[debug], [debug] *:not(g):not(path) { | |
color: hsla(210, 100%, 100%, 0.9) !important; | |
background: hsla(210, 100%, 50%, 0.5) !important; | |
outline: solid 0.25rem hsla(210, 100%, 100%, 0.5) !important; | |
box-shadow: none !important; | |
filter: none !important; | |
} |
395 INFO: PyInstaller: 3.3.1 | |
395 INFO: Python: 3.6.3 | |
396 INFO: Platform: Windows-10-10.0.16299-SP0 | |
401 INFO: wrote D:\Ragnarok\projects\Web\paraDaniel\main.spec | |
405 INFO: UPX is not available. | |
424 INFO: Extending PYTHONPATH with paths | |
['D:\\Ragnarok\\projects\\Web\\paraDaniel', | |
'D:\\Ragnarok\\projects\\Web\\paraDaniel'] | |
425 INFO: checking Analysis | |
425 INFO: Building Analysis because out00-Analysis.toc is non existent |
[INFO] Scanning for projects... | |
[INFO] | |
[INFO] ------------------------------------------------------------------------ | |
[INFO] Building Deep Learning integration for JCLAL Framework 1.1 | |
[INFO] ------------------------------------------------------------------------ | |
Downloading from libs: file://D:\Ragnarok\projects\Java\JCLAL\jclal-deeplearning/libs/nz/ac/waikato/cms/weka/weka-dev/maven-metadata.xml | |
Downloading from central: https://repo.maven.apache.org/maven2/nz/ac/waikato/cms/weka/weka-dev/maven-metadata.xml | |
Downloading from sonatype-nexus-snapshots: https://oss.sonatype.org/content/repositories/snapshots/nz/ac/waikato/cms/weka/weka-dev/maven-metadata.xml | |
Downloaded from central: https://repo.maven.apache.org/maven2/nz/ac/waikato/cms/weka/weka-dev/maven-metadata.xml (682 B at 187 B/s) | |
Downloading from central: https://repo.maven.apache.org/maven2/nz/ac/waikato/cms/weka/multiInstanceFilters/maven-metadata.xml |
[INFO] Scanning for projects... | |
[INFO] ------------------------------------------------------------------------ | |
[INFO] Reactor Build Order: | |
[INFO] | |
[INFO] JCLAL framework | |
[INFO] jclal-core | |
[INFO] jclal-spark | |
[INFO] | |
[INFO] ------------------------------------------------------------------------ | |
[INFO] Building JCLAL framework 2.0 |
String dataset_home = System.getProperty("user.home") + File.separator + "datasets" + File.separator; | |
String mnist_home = dataset_home + "mnist_png" + File.separator; | |
String trainPath = mnist_home + "training"; | |
String testPath = mnist_home + "testing"; | |
int numRows = 28; // height | |
int numColumns = 28; // width | |
int channels = 1; // depth | |
int outputNum = 10; | |
int batchSize = 128; |
Exception in thread "main" java.lang.NoClassDefFoundError: com/github/os72/protobuf351/MessageOrBuilder | |
at java.lang.ClassLoader.defineClass1(Native Method) | |
at java.lang.ClassLoader.defineClass(ClassLoader.java:760) | |
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142) | |
at java.net.URLClassLoader.defineClass(URLClassLoader.java:467) | |
at java.net.URLClassLoader.access$100(URLClassLoader.java:73) | |
at java.net.URLClassLoader$1.run(URLClassLoader.java:368) | |
at java.net.URLClassLoader$1.run(URLClassLoader.java:362) | |
at java.security.AccessController.doPrivileged(Native Method) | |
at java.net.URLClassLoader.findClass(URLClassLoader.java:361) |
org.nd4j.linalg.exception.ND4JIllegalStateException: Failed to allocate [5913600000] bytes | |
at org.nd4j.linalg.cpu.nativecpu.CpuMemoryManager.allocate(CpuMemoryManager.java:35) | |
at org.nd4j.linalg.memory.abstracts.Nd4jWorkspace.alloc(Nd4jWorkspace.java:399) | |
at org.nd4j.linalg.memory.abstracts.Nd4jWorkspace.alloc(Nd4jWorkspace.java:299) | |
at org.nd4j.linalg.api.buffer.BaseDataBuffer.<init>(BaseDataBuffer.java:635) | |
at org.nd4j.linalg.api.buffer.FloatBuffer.<init>(FloatBuffer.java:65) | |
at org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory.createFloat(DefaultDataBufferFactory.java:257) | |
at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1481) | |
at org.nd4j.linalg.api.ndarray.BaseNDArray.<init>(BaseNDArray.java:261) | |
at org.nd4j.linalg.cpu.nativecpu.NDArray.<init>(NDArray.java:126) |