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| upstream my_app { | |
| server unix:///var/run/puma/my_app.sock; | |
| } | |
| log_format healthd '$msec"$uri"' | |
| '$status"$request_time"$upstream_response_time"' | |
| '$http_x_forwarded_for'; | |
| server { | |
| listen 80; |
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| STORAGE = 'thumbor.storages.redis_storage' | |
| # ALLOW_UNSAFE_URL = True | |
| AUTO_WEBP = True | |
| DETECTORS = [ 'thumbor.detectors.face_detector', 'thumbor.detectors.feature_detector' ] | |
| OPTIMIZERS = ['thumbor.optimizers.jpegtran', 'thumbor.optimizers.gifv'] | |
| MAX_AGE = 30 * 24 * 60 * 60 | |
| FFMPEG_PATH = '/usr/bin/avconv' | |
| ## Insert private stuff next: |
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| [ec2-user@ip-10-0-255-91 ~]$ curl http://debug.netdna-cdn.com | |
| You are hitting the MaxCDN New York Datacenter<br> | |
| <img src=netdna.gif?city=3 > |
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| #!/usr/bin/env python2 | |
| import random | |
| for i in range(0, 100): | |
| if not i % 15: | |
| random.seed(1178741599) | |
| print([i+1, "Fizz", "Buzz", "FizzBuzz"][random.randint(0,3)]) |
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| { | |
| "messages": " \u001b[1m\u001b[35mExternalPlatform Load (1.5ms)\u001b[0m SELECT <REST OF QUERY>\u001b[0m\n{\"method\":\"GET\",\"path\":\"/api/v1/settings/header_info\",\"format\":\"*/*\",\"controller\":\"api/v1/settings\",\"action\":\"header_info\",\"status\":200,\"duration\":20.04,\"view\":0.21,\"db\":9.41}", | |
| "level": "INFO" | |
| } |
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| for /d %%i in ("%systemroot%\Microsoft.Net\Framework\v*") do for /d %%f in ("%%i\Temporary ASP.NET Files\*") do RD /q/s "%%f" |
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| import string | |
| from random import sample | |
| rand_strings = set() | |
| string_count = 100 | |
| string_len = 8 | |
| string_prefix = "" | |
| char_choices = string.uppercase + string.digits |
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