Shukri hsm207

## subreddit_latest.py
import sys
from datetime import datetime, timedelta
import praw

user_agent = "hot test 1.0 by /u/dangayle"
r = praw.Reddit(user_agent=user_agent)

class SubredditLatest(object):
    """Get all available submissions within a subreddit newer than x."""

## endtoend_estimator_keras_repro.py
from __future__ import division

import urlparse
import os

import numpy
import boto3
import tensorflow
from tensorflow.python.keras._impl import keras
from tensorflow.python.estimator.export.export_output import PredictOutput

## conv2d_as_matmul.ipynb

      
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              January 17, 2024 17:12
            
              
                Code to accompany my blog post at https://bit.ly/2KfmQ76
              
          
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## einsum_with_pytorch.ipynb

      
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                / einsum_with_pytorch.ipynb
            
            
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              May 11, 2022 13:57
            
              
                Code to accompany my blog post at https://bit.ly/2PmRjiC
              
          
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## rpr_with_einsum_gpu.ipynb

      
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                hsm207
                / rpr_with_einsum_gpu.ipynb
            
            
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              April 21, 2019 11:08
            
              
                Code to accompany my blog post at https://bit.ly/2PmRjiC
              
          
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## getAnalytics.scala
def getAnalytics(bucketName: String, brand: String, bucketYear: String, bucketMonth: String, bucketDay: String, candidate_field: String=candidateField, groups: String=Groups): DataFrame = {
  var rankingOrderedIds = Window.partitionBy("c12").orderBy("id")
  val s3PathAnalytics = getS3Path(bucketName, brand, bucketFolder, year=bucketYear, month=bucketMonth, day=bucketDay)
  readJSON(s3PathAnalytics)
    .distinct
    .withColumn("x", explode($"payload"))
    // a few more calls to withColumn to create columns
    .withColumn("c10", explode(when(size(col("x1")) > 0, col("x1")).otherwise(array(lit(null).cast("string")))))
    // a few more calls to withColumn to create columns
    .withColumn("id", monotonically_increasing_id)

## bert_pretraining_share.ipynb

      
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                hsm207
                / bert_pretraining_share.ipynb
            
            
              Created
              October 1, 2019 23:50
            
              
                BERT_pretraining_share.ipynb
              
          
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## keras_estimator_feature_column_bug.ipynb

      
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                hsm207
                / keras_estimator_feature_column_bug.ipynb
            
            
              Created
              October 22, 2019 15:56
            
              
                keras_estimator_feature_column_bug.ipynb
              
          
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## working_with_random_samples.html
<!DOCTYPE html>
<html>
<head>
  <meta name="databricks-html-version" content="1">
<title>working_with_random_samples - Databricks</title>

<meta charset="utf-8">
<meta name="google" content="notranslate">
<meta name="robots" content="nofollow">
<meta http-equiv="Content-Language" content="en">

## copy_redis.sh
# source: https://stackoverflow.com/questions/37166947/copying-all-keys-in-redis-database-using-migrate

# make sure the redis in SOURCE_HOST and DESTINATION_HOST are identical!

SOURCE_HOST=127.0.0.1
SOURCE_PORT=6381

DESTINATION_HOST=foo.bar
DESTINATION_PORT=6379
	import sys
	from datetime import datetime, timedelta
	import praw

	user_agent = "hot test 1.0 by /u/dangayle"
	r = praw.Reddit(user_agent=user_agent)

	class SubredditLatest(object):
	"""Get all available submissions within a subreddit newer than x."""
	from __future__ import division

	import urlparse
	import os

	import numpy
	import boto3
	import tensorflow
	from tensorflow.python.keras._impl import keras
	from tensorflow.python.estimator.export.export_output import PredictOutput
	def getAnalytics(bucketName: String, brand: String, bucketYear: String, bucketMonth: String, bucketDay: String, candidate_field: String=candidateField, groups: String=Groups): DataFrame = {
	var rankingOrderedIds = Window.partitionBy("c12").orderBy("id")
	val s3PathAnalytics = getS3Path(bucketName, brand, bucketFolder, year=bucketYear, month=bucketMonth, day=bucketDay)
	readJSON(s3PathAnalytics)
	.distinct
	.withColumn("x", explode($"payload"))
	// a few more calls to withColumn to create columns
	.withColumn("c10", explode(when(size(col("x1")) > 0, col("x1")).otherwise(array(lit(null).cast("string")))))
	// a few more calls to withColumn to create columns
	.withColumn("id", monotonically_increasing_id)
	<!DOCTYPE html>
	<html>
	<head>
	<meta name="databricks-html-version" content="1">
	<title>working_with_random_samples - Databricks</title>

	<meta charset="utf-8">
	<meta name="google" content="notranslate">
	<meta name="robots" content="nofollow">
	<meta http-equiv="Content-Language" content="en">
	# source: https://stackoverflow.com/questions/37166947/copying-all-keys-in-redis-database-using-migrate

	# make sure the redis in SOURCE_HOST and DESTINATION_HOST are identical!

	SOURCE_HOST=127.0.0.1
	SOURCE_PORT=6381

	DESTINATION_HOST=foo.bar
	DESTINATION_PORT=6379