Python: improved content inits, added ndarray support for binary content and small fixes to defaults

[eavanvalkenburg]

Motivation and Context

This PR adds support for ndarray's as the content carrier for all binary content types (binary, image, audio) as that is more optimized for larger content.

It also does some fixes to the initialization of those content types and the underlying data uri type.

Also some fixes for unspecified default param in pydantic Field, language servers do not recognize Field("default value") as having a default, so changed those occurances to Field(default="default value")

Description

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the SK Contribution Guidelines and the pre-submission formatting script raises no violations
• All unit tests pass, and I have added new tests where possible
• I didn't break anyone 😄

[markwallace-microsoft]

Python Test Coverage Report •

File	Stmts	Miss	Cover	Missing
semantic_kernel/connectors/ai/open_ai/prompt_execution_settings
open_ai_text_to_image_execution_settings.py	36	1	97%	60
semantic_kernel/connectors/search/bing
bing_search_response.py	17	17	0%	3–29
semantic_kernel/connectors/search/google
google_search_result.py	21	21	0%	3–29
semantic_kernel/contents
audio_content.py	21	1	95%	88
binary_content.py	111	11	90%	99, 120, 127, 140, 145–146, 187–191
semantic_kernel/contents/utils
data_uri.py	109	5	95%	91, 98, 101, 120, 176
semantic_kernel/processes/dapr_runtime
dapr_process_info.py	32	4	88%	26, 31, 41, 48
dapr_step_info.py	31	2	94%	30, 39
semantic_kernel/services
ai_service_client_base.py	22	1	95%	64
TOTAL	18599	2198	88%

Python Unit Test Overview

Tests	Skipped	Failures	Errors	Time
3181	5 💤	0 ❌	0 🔥	1m 44s ⏱️

[moonbox3]

It would be helpful to update the PR title to be more descriptive, instead of simply "bunch of updates for content..." :)