flowpoint

package main

// dirty example to use go-orbitdb eventlog

import (
    "time"
    "context"
	"fmt"
	"io"
	"os"

flowpoint

diff --git a/cpp/src/arrow/compute/kernels/row_encoder.cc b/cpp/src/arrow/compute/kernels/row_encoder.cc
index f553708cc..6a0862c0b 100644
--- a/cpp/src/arrow/compute/kernels/row_encoder.cc
+++ b/cpp/src/arrow/compute/kernels/row_encoder.cc
@@ -63,13 +63,13 @@ Status KeyEncoder::DecodeNulls(MemoryPool* pool, int32_t length, uint8_t** encod
 }
 
 void BooleanKeyEncoder::AddLength(const ExecValue&, int64_t batch_length,
-                                  int32_t* lengths) {
+                                  int64_t* lengths) {

flowpoint

class wrapper_class:
    def __init__(self, val, *args, **kwargs):
        if callable(val):
            self.val = val(*args,**kwargs)
        else:
            self.val = val
    
    def __getattr__(self,*args, **kwargs):
        return self.val.__getattribute__(*args, **kwargs)
    

flowpoint

#!/usr/bin/env python3
# mmverify.py -- Proof verifier for the Metamath language
# Copyright (C) 2002 Raph Levien raph (at) acm (dot) org
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License

# To run the program, type
#   $ python3 mmverify.py < set.mm 2> set.log
# and set.log will have the verification results.

flowpoint

ft232h ftdi_usb_get_string doesnt work with libftdi if the manufacturer serial or product code in eeprom is not ascii
therefore the python swig binding ftdi1 usbget_strings doesnt work either
and the adafruit_gpio.FT232H

todo:
fix in libftdi
or reprogra ft232h eeprom

flowpoint

def linear_list_remove(target, elems_to_remove):
    ''' careful, this is not always correct because hash collisions
    removes list elements from list in O(1) '''
    
    mp = {}
    for i in elems_to_remove:
        mp[i] = 1 #remove linebreak

    ret_list = []
    for i in target:

flowpoint

import tensorflow as tf
#import keras # works, but wants tf.contrib.eager.Variable for eager execution somewhere
from tensorflow import keras # <- errors on padding='causal'

import numpy as np
#tf.enable_eager_execution() #

data = np.random.random([1,1,256])

leaky_relu = tf.nn.leaky_relu

flowpoint

def atrous_conv1d(value, filters, rate, padding, name=None):
    '''wrapper for tf.nn.convolution to atrous_conv1d
    lets you choose the filters
    usage: 
        b = tf.placeholder(shape=(None, 1, 4096,1), dtype=tf.float32)
        atrous_conv1d(b, filters=tf.ones((1, 4096, 1)),rate=2, padding='VALID')
        
        b = tf.placeholder(shape=(None, 4096), dtype=tf.float32)
        atrous_conv1d(b, filters=tf.ones((1, 4096, 1)),rate=2, padding='VALID')
        

flowpoint

import Html exposing(..)

main =
  Html.program
    { init = init,
      view = view,
      update = update,
      subscriptions = subscriptions
    }

flowpoint

#!/bin/bash

#delete all ipfs pins script
#dont forget chmod

a=`ipfs pin ls --type=recursive | awk '{print $1;}' `

for pins in $a
do