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                                            Thiel

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

One workaround is to multiply the target series by any factor other than 1. For example: ``` data = np.array([1872.0, 1452.0, 1476.0, 1404.0, 3048.0, 1788.0, 1080.0, 888.0, 2184.0, 2220.0, 1680.0,...

Assessment of Microsoft OmniParser 2.0

/attempt #732 Here's my implementation plan: - Create `OmniParserService` besides the existing `DomService`. OmniParserService takes a base64 screenshot, and output the bounding boxes (bboxes) of the detected elements: ``` class...