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if you do a unformat of 19,999,999,999,999,999 unformat will return 20000000000000000. I believe this is cause of the parseFloat. Is there anything we can do about that?
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python3.8, python3.9
Test code:
```
from dictdiffer import diff
dict1 = dict({'test': {'serial_number': 22570409781991170591038650551}})
dict2 = dict({'test': {'serial_number': 2257040978199…
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Steps to reproduce:
1) deleteCompany 10000000000
Expected:
index provided is invalid
Actual:
Invalid command format
![Screenshot 2022-04-16 at 3.06.55 PM.png](https://raw.githubusercontent.com/nus…
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Hey,
Looking at the metrics being pushed to graphite it looks like they are all really long numbers.. ie cpu usage is like 150245784 which makes no sense to me.
Doing a little bit of research it app…
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```
In [18]: a = solve(S("1768292677839237920489538677417507171630859375*x^109-2734577732179183863586489182929671773182898498218854181690460140337930774573792597743853652058046464"))[0]
In [19]: prin…
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Part of the deParam() code tries to parse numeric values into Javascript numbers. However, since javascript stores all numbers as doubles, any number larger than around 2^53 will suffer a loss of prec…
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`(conspack:encode (1- (ash 1 128)))` works,
but
`(conspack:encode (ash 1 128))` fails.
Can cl-conspack support larger numbers?
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It would be great if large numbers were comma-separated anywhere they appear (ie MPS).
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**Describe the bug**
We noticed that a lot of time was spent in the `_parse_shape` method making when querying large amounts of records for dynamo db.
**Steps to reproduce**
With this patch we…