# else
-#  define strncat(dest, src, n) \
-  (__extension__ (__builtin_constant_p (src) && __builtin_constant_p (n)      \
-		  ? (strlen (src) < ((size_t) (n))			      \
-		     ? strcat (dest, src)				      \
-		     : strncat (dest, src, n))				      \
-		  : strncat (dest, src, n)))
-# endif
-#endif
-
-
-/* Compare characters of S1 and S2.  */
-#ifndef _HAVE_STRING_ARCH_strcmp

from __future__ import print_function
import paho.mqtt.client as mqtt

# This is the Subscriber

def on_connect(client, userdata, flags, rc):
  print("Connected with result code "+str(rc))
  # qos level is set to 1
  client.subscribe("minio", 1)

def on_message(client, userdata, msg):
    print(msg.payload)

# client_id is a randomly generated unique ID for the mqtt broker to identify the connection.

#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/util/equal_graph_def.h"

le:before{content:"\f3f7"}.fa-sticky-note:before{content:"\f249"}.fa-stop:before{content:"\f04d"}.fa-stop-circle:before{content:"\f28d"}.fa-stopwatch:before{content:"\f2f2"}.fa-store:before{content:"\f54e"}.fa-store-alt:before{content:"\f54f"}.fa-strava:before{content:"\f428"}.fa-stream:before{content:"\f550"}.fa-street-view:before{content:"\f21d"}.fa-strikethrough:before{content:"\f0cc"}.fa-stripe:before{content:"\f429"}.fa-stripe-s:before{content:"\f42a"}.fa-stroopwafel:before{content:"\f551"}...

le:before{content:"\f3f7"}.fa-sticky-note:before{content:"\f249"}.fa-stop:before{content:"\f04d"}.fa-stop-circle:before{content:"\f28d"}.fa-stopwatch:before{content:"\f2f2"}.fa-store:before{content:"\f54e"}.fa-store-alt:before{content:"\f54f"}.fa-strava:before{content:"\f428"}.fa-stream:before{content:"\f550"}.fa-street-view:before{content:"\f21d"}.fa-strikethrough:before{content:"\f0cc"}.fa-stripe:before{content:"\f429"}.fa-stripe-s:before{content:"\f42a"}.fa-stroopwafel:before{content:"\f551"}...

"přes", "ty", "pak", "vám", "ani", "když", "však", "neg", "jsem", "tento", "článku", "články", "aby", "jsme", "před", "pta", "jejich", "byl", "ještě", "až", "bez", "také", "pouze", "první", "vaše", "která", "nás", "nový", "tipy", "pokud", "může", "strana", "jeho", "své", "jiné", "zprávy", "nové", "není", "vás", "jen", "podle", "zde", "už", "být", "více", "bude", "již", "než", "který", "by", "které", "co", "nebo", "ten", "tak", "má", "při", "od", "po", "jsou", "jak", "další", "ale", "si", "se", "ve",...

        saves computation resources when concurrent training jobs train from the
        same dataset. See
        (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers)
        for more details.
    *   Added `dataset_id` to `tf.data.experimental.service.register_dataset`.
        If provided, `tf.data` service will use the provided ID for the dataset.

"přes", "ty", "pak", "vám", "ani", "když", "však", "neg", "jsem", "tento", "článku", "články", "aby", "jsme", "před", "pta", "jejich", "byl", "ještě", "až", "bez", "také", "pouze", "první", "vaše", "která", "nás", "nový", "tipy", "pokud", "může", "strana", "jeho", "své", "jiné", "zprávy", "nové", "není", "vás", "jen", "podle", "zde", "už", "být", "více", "bude", "již", "než", "který", "by", "které", "co", "nebo", "ten", "tak", "má", "při", "od", "po", "jsou", "jak", "další", "ale", "si", "se", "ve",...