Zapcopy QA Run 2026-04-20T16-21-49Z__iter_01

2026-04-20T16-21-49Z__iter_01

4/20/2026, 4:21:49 PM · 1 flow · 13,060ms total

clean All settings match production defaults (app_defaults.yaml asOf 2026-04-19).
Build provenance
App
1.4·3
com.flashcopy.app.dev
Git
36652cef76
feature/processing-animation-variants · dirty
Sim
AAC26DF1…
com.flashcopy.app.dev
Built at
4/19/2026, 1:55:28 AM
collection
Input media
Input id
CCCC0001
Total
13.06s
Output
379 words
2777 chars
Cost est
$0.00016
gemini-2.5-flash · basis: chars
in 1,298 · out 204 tok
Stage timings
fan-out
13.06s
Stage details
fan-out
children 3
totalWords 379
Extracted text
379 words · 2,777 chars
```python
def is_prime(n):
    """
    Checks if an integer 'n' is a prime number.

    A prime number is a natural number greater than 1
    that has no positive divisors other than 1 and itself.
    """
    if n <= 1:
        return False
    # Check for factors from 2 up to the square root of n
    for i in range(2, int(math.sqrt(n)) + 1):
        if n % i == 0:
            return False
    return True

def find_first_n_primes(count):
    """
    Finds a specified count of the first prime numbers.
    """
    primes = []
    num = 2 # Start checking from the first prime candidate
    while …
Prompts used
all prompts →
photo_ocr gemini-2.5-flash 48496a3017… · 699 chars
Can you please OCR this image? Please OCR and do not modify the content and try and generate the OCR result with the same exact formatting as the input image. Please focus in ensuring the OCR process flawlessly retains the source's formatting. I aim to go line-by-line, capturing every detail, including special characters, comments, and those crucial line breaks, indentations, and case differences, thus guaranteeing the output mirrors the original. However, please remove any items from an editor or parts of the IDE/word processor that are shown in any potential screenshot to as just show only the content instead. (For instance removing the list of windows open/ line numbers, file name etc.)
qr_reader_v1/EXTENDED_LAMBDA_OCR.py:108
Output diff
no baseline

No prior run for this input and no ground-truth file at data/ground_truth/<sha>.md. After another ingest the diff will render here.

Run settings
Show all 20 values
{
  "videoFramesPerSecond": 1,
  "videoStitchingMethod": "gemini_only",
  "videoPipelineMode": "s3_parallel",
  "useBackgroundVideoProcessing": true,
  "rekognitionThreshold": 80,
  "geminiModel": "gemini-2.5-flash",
  "photoOcrPromptSha": "48496a3017a2708a92d142281c5ab19f64f8132555514a00cbc35ca9d39daeba",
  "frameOcrPromptSha": "66326cc5be6bdd434dbbdd330b519e26bd8bbcab4a6037a64c2148b66cd2aceb",
  "imageRetentionHours": 24,
  "bypassImageSaveConfirmation": true,
  "bypassProcessingResultWindow": true,
  "enableAnalytics": true,
  "confirmCollectionReset": true,
  "enableNotifications": false,
  "autoProcessImages": true,
  "includeBrandingInSharedText": true,
  "autoSavePhotos": true,
  "multiPhotoSeparator": "double_line",
  "showDebugInfo": false,
  "headerFooterStyle": "equals"
}