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Is your enhancement proposal related to a problem? Please describe.
Refer to: zephyrproject-rtos/zephyr#28932
Describe the solution you'd like
Refer to: zephyrproject-rtos/zephyr#28932 (comment)
Describe alternatives you've considered
NA
Additional context
NA
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When passing Wasm function to the host as a callback, it's passed as an index in the table.
Wasm3 needs to provide an API to call such functions.
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Blynk library version: master branch at 144a90f3bdb66c3b6c03cce0335c1f1e304d91d6
IDE: VS Code + PlatformIO
IDE version: 1.52.1
Board type: ESP8266
Additional modules: Arduino ESP8266
Scenario, steps to reproduce
Blynk.run()
blocks if there is no internet connection on the network and connecting to a local server via SSL.
According to my investigation, `BlynkArduinoClientSecure::conn
With Tock running on this board with virtual_uart sitting on top of USB, the Nano 33 BLE is a reasonably promising board to be a standard, well supported Tock board. Additionally, if the board turns out to not be great, the infrastructure which would make the Nano 33 BLE work well would apply to any other board that has the nRF52840 + USB combination.
- Make the bootloader and tockloader ex
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Hi,
This is a really esoteric issue, but I was looking through the code and found this line: https://github.com/adafruit/circuitpython/blob/e6dc3e4686c74ad1828d07475194fc45e8f65ab0/ports/atmel-samd/common-hal/analogio/AnalogOut.c#L87
However, in the datasheet here: https://ww1.microchip.com/downloads/en/DeviceDoc/SAM_D21_DA1_Family_DataSheet_DS40001882F.pdf
Section 47.6.3 does not exist (
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On Linux, packets that stay local to the machine (moving from the host to a container for example) don't always have their checksum computed, see for example https://patchwork.ozlabs.org/patch/261822/.
The proper fix would be to check for TP_STATUS_CSUMNOTREADY, but an easy workaround is to have a way to change the ChecksumCapabilities or DeviceCapabilities.
As a rust noob here my solution for
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paddle-mobile将开发一个新的版本,为了:
因此,paddle-mobile将会进行一次完全的重构,从框架设计到代码开发。在新版本开发完成后,将会删除原有mobile-deep-learning的代码。新版本开发期间,代码将放置在paddle-mobile repo的一个子目录下。对于子目录的命名,目前有3个候选,希望大家投票:
有更好的建议,请回复issue。相关issue:#121
另外,待新版本代码开发完成,移除老版本mobile-deep-learning代码后,新版本代码将移出子目录,直接放置在paddle-mobile repo下面。