This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
2020-07-02 11:27:12.313442: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 | |
2020-07-02 11:27:12.346151: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: | |
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582 | |
pciBusID: 0000:05:00.0 | |
2020-07-02 11:27:12.347723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties: | |
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582 | |
pciBusID: 0000:06:00.0 | |
2020-07-02 11:27:12.349257: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 2 with properties: | |
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582 | |
pciBusID: 0000:09:00.0 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import tensorflow as tf | |
physical_devices = tf.config.experimental.list_physical_devices('GPU') | |
for physical_device in physical_devices: | |
tf.config.experimental.set_memory_growth(physical_device, True) | |
gpus = tf.config.experimental.list_physical_devices('GPU') | |
if gpus: | |
# Restrict TensorFlow to only allocate 1GB * 2 of memory on the first GPU | |
try: | |
tf.config.experimental.set_virtual_device_configuration( | |
gpus[0], |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
echo '>> Start of Script' | |
nodes=($( cat $PBS_NODEFILE | sort | uniq )) | |
nnodes=${#nodes[@]} | |
last=$(( $nnodes - 1 )) | |
export SPARK_HOME=/work/{user}/sparktest/spark/ | |
ssh ${nodes[0]} "cd ${SPARK_HOME}; ./sbin/start-master.sh" | |
sparkmaster="spark://${nodes[0]}:7077" | |
echo 'master created' |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
gnipclient.py | |
class PowertrackClient(object): | |
""" | |
Auth attributes common to all gnip clients | |
""" | |
def __init__(self, username, password, account): | |
self.username = username | |
self.password = password | |
self.account = account |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import tornado | |
from tornado import autoreload, ioloop, web, options, escape, websocket | |
import re | |
import json | |
profane_dict = dict() | |
re_dict = dict() | |
def re_compile(word_list): | |
exp = r'\b%s\b' %'|'.join(word_list) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import nltk | |
docs = ['hi this is a test', 'testing done for now', 'today is a test'] | |
docs_l = [] | |
for sentence in docs: | |
tokens = nltk.word_tokenize(sentence) | |
docs_l.append(tokens) | |
finder = BigramCollocationFinder.from_documents(docs_l) | |
bigram_measures = nltk.collocations.BigramAssocMeasures() | |
print(finder.score_ngrams(bigram_measures.raw_freq)) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
================================================================================ | |
Document Title: The rate of adaptation in a changing environment | |
Document Abstract: Global warming is a major threat to biodiversity that goes beyond precedent. Historically, many species survived by shifting their range, but now human-induced habitat loss and fragmentation commonly restricts range shifts, forcing species to adapt in situ or face extinction. Simulations, using a model integrating population dynamics, mutation, environmental variance, and genetic change, examine the relationship between maximum phenotypic and genetic rates of change. Not surprisingly, small populations of range-bound species (103 or less) will be severely limited in their long-term response to very rapid climate change; however, linked populations can adapt effectively if gene flow between neighboring reserves is adequate. | |
Processed Document: ['global/JJ', 'warming/NN', 'be/VB', 'major/JJ', 'threat/NN', 'biodiversity/NN', 'go/VB', 'precedent/NN |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from datetime import date | |
from dateutil.rrule import rrule, DAILY, HOURLY | |
a = date(2009, 5, 30) | |
b = date(2009, 6, 9) | |
for dt in rrule(DAILY, dtstart=a, until=b): | |
print dt.strftime("%Y-%m-%d") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from gensim import corpora, models, similarities | |
documents = ["Human machine interface for lab abc computer applications", | |
"A survey of user opinion of computer system response time", | |
"The EPS user interface management system", | |
"System and human system engineering testing of EPS", | |
"Relation of user perceived response time to error measurement", | |
"The generation of random binary unordered trees", | |
"The intersection graph of paths in trees", | |
"Graph minors IV Widths of trees and well quasi ordering", |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class FB_activity(models.Model): | |
investigation = models.ForeignKey("investigation.Investigation") | |
author = models.ForeignKey(FB_user) | |
fbid = models.TextField() | |
activity_type = models.TextField() | |
body = models.TextField() | |
created_time = models.DateTimeField(blank=True,null=True) | |
updated_time = models.DateTimeField(blank=True,null=True) | |
our_updated_time = models.DateTimeField(auto_now=True) | |
place = models.TextField(blank=True) |
NewerOlder