ddtrace 1.2.0rc1 on Python PyPI

Add tracing support for aiomysql>=0.1.0.
Add support for grpc.aio.
botocore: allow defining error status codes for specific API operations.
See our botocore document for more information on how to enable this feature.
ciapp: detect code owners of PyTest tests
The memory profile collector can now entirely disabled with the DD_PROFILING_MEMORY_ENABLED environment variable.
psycopg2: add option to enable tracing psycopg2.connect method.
See our psycopg2 documentation for more information.
Add asyncio support of redis ≥ 4.2.0

The profiler asyncio_loop_policy attribute has been renamed to asyncio_loop_policy_class to accept a user-defined class. This guarantees the same asyncio loop policy class can be used process children.

Fixes deprecation warning for asyncio.coroutine decorator.
internal: normalize header names in ASM
profiling: implement __aenter__ and __aexit__ methods on asyncio.Lock wrapper.
tracing: fix issue with ddtrace-run having the wrong priority order of tracer host/port/url env variable configuration.
django,redis: fix unicode decode error when using unicode cache key on Python 2.7
fastapi/starlette: when using sub-apps, formerly a call to /sub-app/hello/{name} would give a resource name of /sub-app. Now the full path /sub-app/hello/{name} is used for the resource name.
sanic: Don't send non-500s error traces.
pin protobuf to version >=3,<4 due to incompatibility with version 4.21.
Fixes a performance issue with the profiler when used in an asyncio application.
The profiler now copy all user-provided attributes on fork.
pytest: Add note for disabling ddtrace plugin as workaround for side-effects
Set required header to indicate top level span computation is done in the client to the Datadog agent. This fixes an issue where spans were erroneously being marked as top level when partial flushing or in certain asynchronous applications.
The impact of this bug is the unintended computation of stats for non-top level spans.

The default number of events kept by the profiler has been reduced to decreased CPU and memory overhead.