merlin.chips¶
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merlin.chips.chip_to_numpy(chip, chip_spec)[source]¶ Removes base64 encoding of chip data and converts it to a numpy array
Parameters: - chip – A chip
- chip_spec – Corresponding chip_spec
Returns: a decoded chip with data as a shaped numpy array
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merlin.chips.dates(chips)[source]¶ Dates for a sequence of chips
Parameters: chips – sequence of chips Returns: datestrings Return type: tuple
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merlin.chips.deduplicate(chips)[source]¶ Accepts a sequence of chips and returns a sequence of chips minus any duplicates. A chip is considered a duplicate if it shares an x, y, UBID and acquired date with another chip.
Parameters: chips (sequence) – Sequence of chips Returns: A nonduplicated tuple of chips Return type: tuple
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merlin.chips.identity(chip)[source]¶ Determine the identity of a chip.
Parameters: chip (dict) – A chip Returns: Tuple of the chip identity field Return type: tuple
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merlin.chips.locations(x, y, cw, ch, rx, ry, sx, sy)[source]¶ Computes locations for array elements that fall within the shape specified by chip_spec[‘data_shape’] using the x & y as the origin. locations() does not snap() x & y… this should be done prior to calling locations() if needed.
Parameters: - x – x coordinate
- y – y coordinate
- cw – chip width in pixels (e.g. 100 pixels)
- ch – chip height in pixels (e.g. 100 pixels)
- rx – x reflection (e.g. 1)
- ry – y reflection (e.g. -1)
- sx – x scale (e.g. 3000 meters)
- sy – y scale (e.g. 3000 meters)
Returns: a two (three) dimensional numpy array of [x, y] coordinates
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merlin.chips.mapped(x, y, acquired, specmap, chips_fn)[source]¶ Maps chips_fn results to keys from specmap.
Parameters: - x (int) – x coordinate
- y (int) – y coordinate
- acquired (str) – iso8601 date range
- specmap (dict) – map of specs
- chips_fn (fn) – function to return chips
Returns: {k: chips_fn()}
Return type: dict
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merlin.chips.rsort(chips, key=<function <lambda>>)[source]¶ Reverse sorts a sequence of chips by date.
Parameters: chips – sequence of chips Returns: sorted sequence of chips