Idmji coros

Felt good, but I could also tell I had been out there for a while. Looking down at my watch and seeing the same power, I knew I was in a good spot as regardless of how I felt, I was still putting out similar effort late into the race...Also, later in the race heart rate tends to become flat, so power was the best indicator I had to gauge how I was performing."Overall UTMB Stats:Time: 19:54:23Avg HR: 134 bpmMax HR: 174 bpmAvg Power: 207 wattsFinal Thoughts From Bouillard On Work-Life Balance“You don’t have to be a professional athlete to train like a professional athlete” - Mario Fraioli."The meaning behind this is that professional athletes have a full time job of their own, part of which is to focus on all the little things that constitute what is often called “invisible training” (daily sleep and nutrition/hydration, consistent strength/stretch, proper recovery, etc.) By adopting this “pro athlete” mindset and treating training as such, you are a lot more likely to set ambitious goals and thoughtful plans to achieve them, no matter what fitness level you are at and how much time you have on the calendar. It is all about balancing, planning and committing to the plan."COROS and Vincent BouillardVincent Bouillard is the 2024 UTMB Champion. Having leveraged the product from training to recovery, and planning to execution, it's safe to say technology played an impactful role in making his athletic life more efficient. Leveraging the power of the COROS APEX 2 Pro along with the COROS Heart Rate Monitor, COROS App, and COROS Training Hub, Vincent was able to maximize the time he had outside of other responsibilities. We congratulate Vincent on this incredible achievement and thank him for sharing this message with runners around the world.

# create many coroutines to update the global sate coros = [task() for _ in range(10000)] # execute all coroutines await asyncio.gather(*coros) # report the value of the counter print(value) Tying this together, the complete example is listed below. 12345678910111213141516171819202122232425262728293031323334 # SuperFastPython.com# example of an asyncio race condition with shared memoryimport asyncio# task that operates on a shared variableasync def task(): # declare global variable global value # retrieve the value tmp = value # suspend for a moment await asyncio.sleep(0) # update the tmp value tmp = tmp + 1 # suspend for a moment await asyncio.sleep(0) # store the updated value value = tmp# main coroutineasync def main(): # declare the global variable global value # define the global variable value = 0 # create many coroutines to update the global sate coros = [task() for _ in range(10000)] # execute all coroutines await asyncio.gather(*coros) # report the value of the counter print(value)# entry pointasyncio.run(main()) Running the example first creates the main() coroutine and executes it as the entry point of the program.The main() coroutine runs and initializes the global variable.The 10,000 coroutines are then created and awaited.Each coroutine runs, copying the value of the global variable, suspending, updating the temporary variable, sleeping, then storing the updated variable back into the global variable.All the coroutines finish and the main() coroutine reports the value of the global variable.The value is one, instead of the expected 10,000.What happened?We might have expected each coroutine to execute as an atomic block, but it didn’t.Each coroutine was suspended (like a context switch) two times, once after copying the global variable, and once after incrementing the temporary variable.The first coroutine runs and suspends at the first point, the second coroutine runs and suspends at the first point, and so on. This continues on for all 10,000 coroutines.They have all copied the current value of the global variable of zero into the temporary value.The first coroutine resumes and increments the temporary variable from zero to one then suspends. The second coroutine does the same, and so on for all 10,000 coroutines.They all have a value

The Norwegian's watch sponsor, Coros, shared his training approach for the Paris Olympics, as well as his watch data from the 5,000m finalLast Updated: Sep 19, 2024 12:25 pmWhat does it take to win an Olympic gold medal in the 5,000m? Of course, there’s the genetic lottery, which we mere mortals can only dream of winning, but beyond that, there are years of experience, intense training, and unmatched dedication behind that moment of glory.Jakob Ingebrigtsen’s victory in the 5,000m at the Paris 2024 Olympic Games was the culmination of years of collaboration with his brothers, Henrik and Filip. Together, they refined a training approach that pushed Jakob to the limits of his capabilities. But what exactly goes into such a high-stakes training regimen? How do they gauge its effectiveness, and what does it really mean to push the human body to its absolute limits? After his gold-medal run, Ingebrigtsen, in collaboration with COROS, shared insights into his training philosophy and how data from his 5,000m performance helped shape his preparation.2024 Training InsightsBuilding the FoundationIngebrigtsen started his 2024 training season on the backfoot following an injury he had been dealing with throughout the winter, which prevented him from being consistent in his workouts.“Middle of February is when I started being consistent and was able to run every day. However, once I was able to train, everything from then on went perfectly,” he shared with COROS. He began with an 8-week period focused on high volume, keeping intensity in check. His approach