Odd (literally) issue with nested dictionaries from weather.gov API

I'm trying to fetch and parse https://api.weather.gov/gridpoints/BOX/71,90/forecast/hourly with a MatrixPortal, which does not have a lot of spare RAM. Things are basically working, but when I tried to add probability of precipitation to the data I'm fetching, I got a surprise — it's skipping every other list item.

The json in question is a dictionary with the data I want under the key `properties`. That key's value is another dictionary, which contains the key `periods`, which is a _list_ of more dictionaries. Parsing all this works fine as long as I'm simply reading key/value pairs in the right order:

```python
hourly_file = io.open("hourly.json",'rb')
json_data = adafruit_json_stream.load(hourly_file)
periods = json_data['properties']['periods']

for period in periods:
print(f"Number: {period['number']:03}")
print(f"Start: {period['startTime']}")
print(f"End: {period['endTime']}")
print(f"Temp: {period['temperature']} {period['temperatureUnit']}")
print(f"Forecast: {period['shortForecast']}")
```

For testing, I'm using the system python on Fedora Linux, with [hourly.json](https://github.com/adafruit/Adafruit_CircuitPython_JSON_Stream/files/15503026/hourly.json) pre-downloaded. But this is exactly the same problem I'm seeing on the MatrixPortal with CircuitPython 9.1. What problem? Well, each period looks something like this:

```json
{
"number": 1,
"name": "",
"startTime": "2024-05-30T12:00:00-04:00",
"endTime": "2024-05-30T13:00:00-04:00",
"isDaytime": true,
"temperature": 57,
"temperatureUnit": "F",
"temperatureTrend": null,
"probabilityOfPrecipitation": {
"unitCode": "wmoUnit:percent",
"value": 80
},
"dewpoint": {
"unitCode": "wmoUnit:degC",
"value": 10
},
"relativeHumidity": {
"unitCode": "wmoUnit:percent",
"value": 77
},
"windSpeed": "9 mph",
"windDirection": "N",
"icon": "https://api.weather.gov/icons/land/day/rain_showers,80?size=small",
"shortForecast": "Rain Showers",
"detailedForecast": ""
}
```
and if try to get at one of the further-nested values, that's when stuff gets weird. For example:

```python
for period in periods:
print(f"Number: {period['number']:03}")
print(f"Start: {period['startTime']}")
print(f"End: {period['endTime']}")
print(f"Temp: {period['temperature']} {period['temperatureUnit']}")
print(f"Rain%: {period['probabilityOfPrecipitation']['value']}")
print(f"Forecast: {period['shortForecast']}")
```

... _skips every other period_, printing (in this example) just the odd-numbered ones.

Or, if I remove any lookups for keys _after_ the nested item, like:

```python
for period in periods:
print(f"Number: {period['number']:03}")
print(f"Start: {period['startTime']}")
print(f"End: {period['endTime']}")
print(f"Temp: {period['temperature']} {period['temperatureUnit']}")
print(f"Rain%: {period['probabilityOfPrecipitation']['value']}")
#print(f"Forecast: {period['shortForecast']}")
```

... it stops after the _first_ period.

Is there a better way to do this?

Is there a way to turn the `Transient` "period" into a real dictionary on each step of the loop? That'll use more memory, but only temporarily. Or, for that matter, just `period['probabilityOfPrecipitation']`?

Or should I be doing something else altogether?

Beginne damit, das Verhalten beim verschachtelten Zugriff mit der verlinkten hourly.json-Datei, dem System-Python und adafruit_json_stream.load zu reproduzieren, und untersuche anschließend, wie Perioden und verschachtelte Dictionaries durchlaufen werden. Als erledigt gilt die Aufgabe, wenn der Zugriff auf probabilityOfPrecipitation.value keine Perioden mehr überspringt oder die Verarbeitung stoppt und dabei das Streaming-Verhalten mit geringem Speicherverbrauch erhalten bleibt.

Vom Indexierungsmodell aus dem Issue-Text verfasst.