xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

381aff7075f7d0c6469db5d793171d22d50b86cd

242

py

Python

src/rating/admin.py

krismwas/pata-app

2c7e29b7801f17047ccfa0c824a77b0415a8f029

[ "MIT" ]

null

src/rating/admin.py

krismwas/pata-app

2c7e29b7801f17047ccfa0c824a77b0415a8f029

[ "MIT" ]

null

src/rating/admin.py

krismwas/pata-app

2c7e29b7801f17047ccfa0c824a77b0415a8f029

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import Rating, DoctorReviewOpinionCount, ReportedAbuse admin.site.register(Rating) admin.site.register(DoctorReviewOpinionCount) admin.site.register(ReportedAbuse)

24.2

67

0.838843

27

242

7.518519

0.481481

0.133005

0.251232

0

0.086777

242

10

68

24.2

0.918552

0.107438

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3839f674333d5f6f3a94c13c1171991ba7da1212

14,492

py

Python

2019/2019_23b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

2019/2019_23b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

2019/2019_23b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

from typing import List, Tuple, Dict from collections import namedtuple input = """3,62,1001,62,11,10,109,2229,105,1,0,1392,1198,1169,736,2060,1136,767,1041,928,1072,1996,1662,1567,994,800,1363,571,2091,1928,1493,2192,705,1695,1800,1596,1464,868,965,1328,1631,1965,835,1262,2029,1101,1433,1829,639,899,1726,2161,1227,672,2122,1899,1526,1763,1295,604,1868,0,0,0,0,0,0,0,0,0,0,0,0,3,64,1008,64,-1,62,1006,62,88,1006,61,170,1106,0,73,3,65,20101,0,64,1,20102,1,66,2,21102,1,105,0,1106,0,436,1201,1,-1,64,1007,64,0,62,1005,62,73,7,64,67,62,1006,62,73,1002,64,2,133,1,133,68,133,102,1,0,62,1001,133,1,140,8,0,65,63,2,63,62,62,1005,62,73,1002,64,2,161,1,161,68,161,1101,1,0,0,1001,161,1,169,102,1,65,0,1102,1,1,61,1102,1,0,63,7,63,67,62,1006,62,203,1002,63,2,194,1,68,194,194,1006,0,73,1001,63,1,63,1105,1,178,21101,0,210,0,105,1,69,2101,0,1,70,1101,0,0,63,7,63,71,62,1006,62,250,1002,63,2,234,1,72,234,234,4,0,101,1,234,240,4,0,4,70,1001,63,1,63,1105,1,218,1105,1,73,109,4,21102,0,1,-3,21101,0,0,-2,20207,-2,67,-1,1206,-1,293,1202,-2,2,283,101,1,283,283,1,68,283,283,22001,0,-3,-3,21201,-2,1,-2,1106,0,263,21202,-3,1,-3,109,-4,2105,1,0,109,4,21102,1,1,-3,21102,0,1,-2,20207,-2,67,-1,1206,-1,342,1202,-2,2,332,101,1,332,332,1,68,332,332,22002,0,-3,-3,21201,-2,1,-2,1106,0,312,22102,1,-3,-3,109,-4,2106,0,0,109,1,101,1,68,358,21002,0,1,1,101,3,68,367,20101,0,0,2,21101,376,0,0,1105,1,436,21201,1,0,0,109,-1,2106,0,0,1,2,4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384,32768,65536,131072,262144,524288,1048576,2097152,4194304,8388608,16777216,33554432,67108864,134217728,268435456,536870912,1073741824,2147483648,4294967296,8589934592,17179869184,34359738368,68719476736,137438953472,274877906944,549755813888,1099511627776,2199023255552,4398046511104,8796093022208,17592186044416,35184372088832,70368744177664,140737488355328,281474976710656,562949953421312,1125899906842624,109,8,21202,-6,10,-5,22207,-7,-5,-5,1205,-5,521,21102,1,0,-4,21102,0,1,-3,21101,51,0,-2,21201,-2,-1,-2,1201,-2,385,470,21001,0,0,-1,21202,-3,2,-3,22207,-7,-1,-5,1205,-5,496,21201,-3,1,-3,22102,-1,-1,-5,22201,-7,-5,-7,22207,-3,-6,-5,1205,-5,515,22102,-1,-6,-5,22201,-3,-5,-3,22201,-1,-4,-4,1205,-2,461,1106,0,547,21102,-1,1,-4,21202,-6,-1,-6,21207,-7,0,-5,1205,-5,547,22201,-7,-6,-7,21201,-4,1,-4,1106,0,529,22102,1,-4,-7,109,-8,2106,0,0,109,1,101,1,68,563,21001,0,0,0,109,-1,2105,1,0,1101,100267,0,66,1101,0,2,67,1102,598,1,68,1101,0,302,69,1101,0,1,71,1102,602,1,72,1105,1,73,0,0,0,0,32,91138,1101,51977,0,66,1102,3,1,67,1101,0,631,68,1102,302,1,69,1101,0,1,71,1102,637,1,72,1105,1,73,0,0,0,0,0,0,39,141837,1102,1,20297,66,1101,2,0,67,1101,666,0,68,1102,302,1,69,1102,1,1,71,1102,1,670,72,1105,1,73,0,0,0,0,31,202718,1101,0,30181,66,1102,1,1,67,1102,1,699,68,1102,556,1,69,1101,2,0,71,1101,701,0,72,1105,1,73,1,10,46,194762,45,241828,1102,84659,1,66,1101,1,0,67,1102,1,732,68,1102,556,1,69,1101,0,1,71,1101,0,734,72,1106,0,73,1,-24,41,54983,1101,14563,0,66,1101,0,1,67,1102,763,1,68,1101,556,0,69,1101,0,1,71,1101,0,765,72,1106,0,73,1,43,18,305589,1102,1,27259,66,1101,1,0,67,1101,794,0,68,1102,1,556,69,1101,0,2,71,1101,0,796,72,1105,1,73,1,2053,24,189586,41,164949,1102,23279,1,66,1101,3,0,67,1101,827,0,68,1102,1,302,69,1101,1,0,71,1101,0,833,72,1106,0,73,0,0,0,0,0,0,8,35158,1101,0,101359,66,1102,2,1,67,1101,862,0,68,1101,302,0,69,1101,0,1,71,1102,866,1,72,1105,1,73,0,0,0,0,39,189116,1101,81869,0,66,1102,1,1,67,1102,1,895,68,1102,556,1,69,1101,0,1,71,1102,897,1,72,1106,0,73,1,4127,34,291513,1102,73681,1,66,1102,1,1,67,1101,926,0,68,1101,0,556,69,1102,0,1,71,1101,928,0,72,1105,1,73,1,1053,1101,17579,0,66,1101,4,0,67,1101,0,955,68,1102,253,1,69,1102,1,1,71,1101,0,963,72,1106,0,73,0,0,0,0,0,0,0,0,16,100267,1102,102677,1,66,1101,0,1,67,1102,1,992,68,1101,0,556,69,1101,0,0,71,1101,0,994,72,1105,1,73,1,1635,1102,21481,1,66,1102,1,1,67,1101,0,1021,68,1102,556,1,69,1101,9,0,71,1102,1,1023,72,1105,1,73,1,2,32,45569,24,94793,10,83786,19,92671,11,14891,5,8087,37,20297,45,60457,45,302285,1101,88853,0,66,1102,1,1,67,1102,1068,1,68,1102,556,1,69,1102,1,1,71,1102,1,1070,72,1106,0,73,1,59,20,143578,1101,57793,0,66,1102,1,1,67,1102,1,1099,68,1102,556,1,69,1101,0,0,71,1102,1101,1,72,1106,0,73,1,1975,1102,97171,1,66,1101,0,3,67,1101,0,1128,68,1101,0,302,69,1101,0,1,71,1101,0,1134,72,1106,0,73,0,0,0,0,0,0,8,70316,1102,8087,1,66,1101,0,2,67,1102,1163,1,68,1101,0,302,69,1101,1,0,71,1102,1,1167,72,1105,1,73,0,0,0,0,37,40594,1102,58271,1,66,1101,1,0,67,1102,1196,1,68,1101,0,556,69,1102,1,0,71,1102,1,1198,72,1105,1,73,1,1468,1102,1,87991,66,1102,1,1,67,1102,1225,1,68,1102,556,1,69,1102,0,1,71,1101,1227,0,72,1106,0,73,1,1066,1101,0,54983,66,1101,3,0,67,1102,1,1254,68,1102,302,1,69,1102,1,1,71,1102,1260,1,72,1106,0,73,0,0,0,0,0,0,48,51977,1101,0,45569,66,1102,1,2,67,1102,1289,1,68,1101,302,0,69,1102,1,1,71,1102,1,1293,72,1105,1,73,0,0,0,0,24,284379,1101,87359,0,66,1102,1,2,67,1102,1,1322,68,1101,351,0,69,1102,1,1,71,1102,1326,1,72,1106,0,73,0,0,0,0,255,17599,1102,1,20399,66,1102,1,3,67,1101,0,1355,68,1101,0,302,69,1102,1,1,71,1102,1361,1,72,1105,1,73,0,0,0,0,0,0,39,47279,1102,1,13177,66,1101,1,0,67,1101,1390,0,68,1101,556,0,69,1102,0,1,71,1101,1392,0,72,1105,1,73,1,1410,1102,17599,1,66,1101,0,1,67,1101,0,1419,68,1102,556,1,69,1102,1,6,71,1101,1421,0,72,1105,1,73,1,23694,31,101359,48,103954,48,155931,28,20399,28,40798,28,61197,1101,0,56369,66,1101,0,1,67,1102,1460,1,68,1102,1,556,69,1101,0,1,71,1102,1462,1,72,1106,0,73,1,47163854,10,41893,1101,0,36263,66,1101,0,1,67,1102,1,1491,68,1102,556,1,69,1102,0,1,71,1101,1493,0,72,1105,1,73,1,1357,1102,1,92671,66,1102,2,1,67,1101,1520,0,68,1102,1,302,69,1102,1,1,71,1102,1524,1,72,1106,0,73,0,0,0,0,11,29782,1102,60457,1,66,1101,0,6,67,1102,1,1553,68,1102,302,1,69,1102,1,1,71,1101,1565,0,72,1105,1,73,0,0,0,0,0,0,0,0,0,0,0,0,47,174718,1102,4957,1,66,1102,1,1,67,1101,0,1594,68,1102,556,1,69,1102,0,1,71,1101,0,1596,72,1105,1,73,1,1623,1101,94793,0,66,1101,0,3,67,1102,1,1623,68,1101,0,302,69,1102,1,1,71,1101,1629,0,72,1106,0,73,0,0,0,0,0,0,39,94558,1101,31387,0,66,1102,1,1,67,1102,1,1658,68,1101,0,556,69,1101,0,1,71,1101,0,1660,72,1105,1,73,1,192,14,46558,1101,0,14891,66,1101,0,2,67,1101,0,1689,68,1102,1,302,69,1102,1,1,71,1102,1,1693,72,1106,0,73,0,0,0,0,5,16174,1102,1,46457,66,1102,1,1,67,1101,1722,0,68,1102,556,1,69,1102,1,1,71,1102,1,1724,72,1105,1,73,1,2341,14,69837,1102,47279,1,66,1101,0,4,67,1101,1753,0,68,1101,253,0,69,1102,1,1,71,1102,1761,1,72,1105,1,73,0,0,0,0,0,0,0,0,47,87359,1101,0,97381,66,1101,4,0,67,1101,0,1790,68,1101,0,302,69,1102,1,1,71,1101,0,1798,72,1106,0,73,0,0,0,0,0,0,0,0,45,120914,1102,68597,1,66,1102,1,1,67,1102,1827,1,68,1101,556,0,69,1101,0,0,71,1102,1,1829,72,1105,1,73,1,1465,1101,0,48857,66,1102,1,1,67,1102,1,1856,68,1102,556,1,69,1101,0,5,71,1101,1858,0,72,1106,0,73,1,1,20,215367,18,203726,34,97171,14,23279,41,109966,1101,3463,0,66,1102,1,1,67,1102,1,1895,68,1101,0,556,69,1101,1,0,71,1102,1,1897,72,1106,0,73,1,160,45,362742,1102,1,52181,66,1102,1,1,67,1101,0,1926,68,1101,556,0,69,1102,1,0,71,1101,1928,0,72,1105,1,73,1,1521,1101,0,101863,66,1102,4,1,67,1102,1,1955,68,1102,302,1,69,1102,1,1,71,1101,0,1963,72,1106,0,73,0,0,0,0,0,0,0,0,8,17579,1101,14173,0,66,1101,0,1,67,1102,1992,1,68,1102,1,556,69,1102,1,1,71,1101,0,1994,72,1105,1,73,1,-3,34,194342,1101,0,41893,66,1102,1,2,67,1102,2023,1,68,1102,302,1,69,1101,0,1,71,1102,2027,1,72,1106,0,73,0,0,0,0,19,185342,1101,0,57787,66,1102,1,1,67,1101,2056,0,68,1101,0,556,69,1102,1,1,71,1102,1,2058,72,1106,0,73,1,-209,18,101863,1102,1,66359,66,1102,1,1,67,1101,2087,0,68,1101,556,0,69,1101,1,0,71,1101,2089,0,72,1106,0,73,1,273,20,71789,1101,0,44293,66,1102,1,1,67,1102,2118,1,68,1102,1,556,69,1101,0,1,71,1102,1,2120,72,1106,0,73,1,125,46,292143,1101,0,95561,66,1101,1,0,67,1102,1,2149,68,1102,1,556,69,1102,1,5,71,1101,0,2151,72,1105,1,73,1,5,20,287156,18,407452,46,97381,46,389524,45,181371,1102,32869,1,66,1101,0,1,67,1102,2188,1,68,1102,1,556,69,1102,1,1,71,1101,0,2190,72,1105,1,73,1,128,16,200534,1101,0,71789,66,1101,4,0,67,1101,0,2219,68,1101,302,0,69,1101,0,1,71,1101,2227,0,72,1105,1,73,0,0,0,0,0,0,0,0,8,52737""" int_codes = [int(x) for x in input.split(",")] Param = namedtuple("Param", ["mode", "value"]) opcodes = { 1: (3, "add"), 2: (3, "multiply"), 3: (1, "read-input"), 4: (1, "write-output"), 5: (2, "jump-if-true"), 6: (2, "jump-if-false"), 7: (3, "less-than"), 8: (3, "equals"), 9: (1, "adjust-rel-base"), 99: (0, "halt") } class Computer: def __init__(self, int_codes: List[int]): self.int_codes = { i: v for i, v in enumerate(int_codes) } self.current_instruction = 0 self.inputs_queue = [] self.outputs_queue = [] self.halted = False self.waiting_for_input = False self.relative_base = 0 def _parse_next_instruction(self) -> Tuple[str, List[Param]]: opcode = self.int_codes[self.current_instruction] % 100 if opcode not in opcodes: print("unknown opcode") exit(1) params = [] parameter_mode = self.int_codes[self.current_instruction] // 100 param_values = [ self.int_codes[x] for x in range( self.current_instruction + 1, self.current_instruction + 1 + opcodes[opcode][0] ) ] for param_value in param_values: param_mode = parameter_mode % 10 params.append(Param(param_mode, param_value)) parameter_mode = parameter_mode // 10 return opcodes[opcode][1], params def _read_param(self, param: Param): if param.mode == 0: key = param.value elif param.mode == 1: return param.value elif param.mode == 2: key = param.value + self.relative_base else: print("Unknown param mode for reading") exit(1) return # shut up the linter if key < 0: print("Cannot read from negative address") exit(1) if key not in self.int_codes: self.int_codes[key] = 0 return self.int_codes[key] def _write_param(self, param: Param, value: int): if param.mode == 0: key = param.value elif param.mode == 1: print("Cannot write when param mode is 1") exit(1) return # shut up the linter elif param.mode == 2: key = param.value + self.relative_base else: print("Unknwon param mode for writing") exit(1) return # shut up the linter if key < 0: print("Cannot write to negative address") exit(1) self.int_codes[key] = value def put_input(self, i): self.inputs_queue.append(i) self.waiting_for_input = False def has_output(self): return len(self.outputs_queue) > 0 def pop_next_output(self): if len(self.outputs_queue) > 0: return self.outputs_queue.pop(0) return None def run_step(self): if self.halted: return opcode, params = self._parse_next_instruction() jumped = False if opcode == "add": self._write_param(params[2], self._read_param(params[0]) + self._read_param(params[1])) elif opcode == "multiply": self._write_param(params[2], self._read_param(params[0]) * self._read_param(params[1])) elif opcode == "read-input": if len(self.inputs_queue) == 0: self._write_param(params[0], -1) self.waiting_for_input = True else: self._write_param(params[0], self.inputs_queue.pop(0)) self.waiting_for_input = False elif opcode == "write-output": self.outputs_queue.append(self._read_param(params[0])) elif opcode == "jump-if-true": if self._read_param(params[0]) != 0: self.current_instruction = self._read_param(params[1]) jumped = True elif opcode == "jump-if-false": if self._read_param(params[0]) == 0: self.current_instruction = self._read_param(params[1]) jumped = True elif opcode == "less-than": self._write_param(params[2], 1 if self._read_param(params[0]) < self._read_param(params[1]) else 0) elif opcode == "equals": self._write_param(params[2], 1 if self._read_param(params[0]) == self._read_param(params[1]) else 0) elif opcode == "halt": self.halted = True elif opcode == "adjust-rel-base": self.relative_base += self._read_param(params[0]) else: print("unknown opcode") exit(1) if not jumped: self.current_instruction += 1 + len(params) network: Dict[int, Computer] = {} output_buffers: [int, List[int]] = {} for i in range(50): network[i] = Computer(int_codes) network[i].put_input(i) # give computer its network address output_buffers[i] = [] nat_x = None nat_y = None sent_nat_y = [] time_since_last_activity = 0 while True: # run single step for all computers for i in range(50): network[i].run_step() if network[i].has_output(): output_buffers[i].append(network[i].pop_next_output()) # send messages if needed message_activity = False for i in range(50): if len(output_buffers[i]) == 3: message_activity = True address = output_buffers[i][0] if address == 255: nat_x = output_buffers[i][1] nat_y = output_buffers[i][2] else: network[address].put_input(output_buffers[i][1]) network[address].put_input(output_buffers[i][2]) output_buffers[i] = [] if not message_activity: # check if entire network is idle is_idle = True for i in range(50): is_idle = is_idle and network[i].waiting_for_input if is_idle: time_since_last_activity += 1 else: time_since_last_activity = 0 else: time_since_last_activity = 0 if time_since_last_activity > 100: if len(sent_nat_y) > 1 and sent_nat_y[-1] == nat_y: print(nat_y) exit(0) sent_nat_y.append(nat_y) network[0].put_input(nat_x) network[0].put_input(nat_y) time_since_last_activity = 0

73.191919

7,984

0.642423

3,071

14,492

2.975252

0.171931

0.028675

0.030535

0.030645

0.438218

0.371347

0.301302

0.208602

0.182773

0.15574

0

0.466176

0.146219

14,492

197

7,985

73.563452

0.272286

0.012421

0

0.28

0

0.005714

0.584266

0.557343

0

1

0.045714

false

0

0.011429

0.005714

0.12

0.045714

0

null

0

1

0

1

0

1

0

1

null

0

4

699eb888d3ab7a330ed11811a7c5919493e3467f

23

py

Python

BDMesh/_version.py

bond-anton/BDMesh

e72f1ec96828c41274b82ba67fd06b44fa8b511d

[ "Apache-2.0" ]

49

2021-12-12T04:13:24.000Z

2022-03-31T12:58:57.000Z

enex2notion/version.py

vzhd1701/enex2notion

d9e0811af6f2c779caf1328c6daa0d6f81290fb3

[ "MIT" ]

11

2021-12-03T10:49:54.000Z

2022-03-29T20:00:30.000Z

BDMesh/_version.py

bond-anton/BDMesh

e72f1ec96828c41274b82ba67fd06b44fa8b511d

[ "Apache-2.0" ]

3

2022-02-04T13:25:21.000Z

2022-03-07T17:54:36.000Z

__version__ = "0.2.16"

11.5

22

0.652174

4

23

2.75

1

0

0.2

0.130435

23

1

23

0.35

0

0.26087

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

69f64aaea0d268a893bf1170af178c227098845b

454

py

Python

algorithms_selection.py

chasingbob/Python_For_Kids

807509858bec8b5b28cf9680360487488bc033a8

[ "MIT" ]

1

2017-03-24T06:30:52.000Z

algorithms_selection.py

chasingbob/Python_For_Kids

807509858bec8b5b28cf9680360487488bc033a8

[ "MIT" ]

null

algorithms_selection.py

chasingbob/Python_For_Kids

807509858bec8b5b28cf9680360487488bc033a8

[ "MIT" ]

null

def print_appropriate_message(age, name): if (age < 10): print('{} is in primary school'.format(name)) elif (age >= 10 and age < 20): print('{} is most likely in high school'.format(name)) else: print('{} is too old for school'.format(name)) age = 17 name = "John" print_appropriate_message(age, name) print_appropriate_message(8, 'Angie') print_appropriate_message(88, 'Grandpa Jack')

21.619048

63

0.61674

60

454

4.533333

0.5

0.235294

0.338235

0.191176

0.220588

0

0.032448

0.253304

454

20

64

22.7

0.769912

0

0.231481

0

1

0.083333

false

0

0.083333

0.583333

0

null

1

0

null

0

1

0

4

0e1078575a686c18dc3eb28d77bba9b293a8c442

335

py

Python

PyStacks/test/test_iot.py

0xack13/PyStacks

13136c43089c241680beb216a233d1846119dd7c

[ "MIT" ]

11

2018-02-15T04:27:05.000Z

2020-10-02T11:20:08.000Z

PyStacks/test/test_iot.py

0xack13/PyStacks

13136c43089c241680beb216a233d1846119dd7c

[ "MIT" ]

3

2018-02-15T05:46:54.000Z

2018-03-05T04:46:51.000Z

PyStacks/test/test_iot.py

0xack13/PyStacks

13136c43089c241680beb216a233d1846119dd7c

[ "MIT" ]

8

2018-03-05T04:40:41.000Z

2021-02-22T08:07:58.000Z

import unittest from mock import MagicMock from PyStacks.PyStacks.iot import IoTAPI class TestIot(unittest.TestCase): def test_create_thing(self): pass def test_create_keys_and_certificate(self): pass def test_attach_thing_principal(self): pass def test_attach_policy(self): pass

16.75

47

0.710448

43

335

5.27907

0.534884

0.123348

0.145374

0.198238

0.185022

0

0.235821

335

19

48

17.631579

0.886719

0

0.333333

0

1

0.333333

false

0.333333

0.25

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

4

0e1432b0932c3c8dbd9df5da5cfda6edda0dbee6

337

py

Python

commish_paths_nersc.py

dstndstn/desi-commish

71d95c0e20a1a730dbd75bdd1731c9baace6a0ed

[ "MIT" ]

null

commish_paths_nersc.py

dstndstn/desi-commish

71d95c0e20a1a730dbd75bdd1731c9baace6a0ed

[ "MIT" ]

null

commish_paths_nersc.py

dstndstn/desi-commish

71d95c0e20a1a730dbd75bdd1731c9baace6a0ed

[ "MIT" ]

null

an_config_filename = '/global/project/projectdirs/cosmo/work/users/dstn/index-5000/cfg' an_path = '/global/homes/d/dstn/astrometry-installed' an_py_path = None #'/global/homes/d/dstn/astrometry-installed/lib/python' desi_dir = '/global/project/projectdirs/desi/spectro/data' gfa_good_pix_map_dir = '/global/cscratch1/sd/dstn/gfa-wcs'

37.444444

87

0.789318

52

337

4.923077

0.634615

0.101563

0.1875

0.125

0.273438

0

0.015723

0.05638

337

8

88

42.125

0.789308

0.160237

0

0.648936

0

1

0

false

0

null

0

1

0

1

0

1

null

0

4

385b89342b5c3c1eaad0c40664054aa0f689a4e1

356

py

Python

src/pygerber/parser/blender/apertures/custom.py

Argmaster/pygerber

4761a5aa60ff1d11512fb44aabd103246d9a3019

[ "MIT" ]

3

2021-08-30T07:07:59.000Z

2021-09-29T22:14:43.000Z

src/pygerber/parser/blender/apertures/custom.py

Argmaster/pygerber

4761a5aa60ff1d11512fb44aabd103246d9a3019

[ "MIT" ]

1

2021-09-26T13:28:49.000Z

src/pygerber/parser/blender/apertures/custom.py

Argmaster/pygerber

4761a5aa60ff1d11512fb44aabd103246d9a3019

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import annotations from pygerber.parser.blender.apertures.arc_mixin import ArcUtilMixinBlender from pygerber.parser.blender.apertures.util import BlenderUtilMethods from pygerber.renderer.aperture.custom import CustomAperture class BlenderCustom(ArcUtilMixinBlender, BlenderUtilMethods, CustomAperture): pass

32.363636

77

0.837079

37

356

7.918919

0.621622

0.122867

0.170648

0.232082

0

0.003096

0.092697

356

10

78

35.6

0.904025

0.058989

0

1

0

true

0.166667

0.666667

0

0.833333

0

null

0

1

0

null

0

1

0

4

3876c0d838a6bd316aa8ea81a71519f99bbabefd

119

py

Python

ibug/face_pose_augmentation/__init__.py

ibug-group/face_pose_augmentation

96df817c194854bba261893703d26502feec1c22

[ "MIT" ]

3

2021-03-22T11:58:18.000Z

2022-03-11T20:29:22.000Z

ibug/face_pose_augmentation/__init__.py

ibug-group/face_pose_augmentation

96df817c194854bba261893703d26502feec1c22

[ "MIT" ]

null

ibug/face_pose_augmentation/__init__.py

ibug-group/face_pose_augmentation

96df817c194854bba261893703d26502feec1c22

[ "MIT" ]

1

2022-03-11T20:28:45.000Z

from .tddfa_predictor import TDDFAPredictor from .face_pose_augmentor import FacePoseAugmentor __version__ = '0.1.0'

19.833333

50

0.831933

15

119

6.133333

0.8

0

0.028302

0.109244

119

5

51

23.8

0.839623

0

0.042017

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3882122c32447e7fa11be90ca09b8deed29cf0e5

2,640

py

Python

selenium_tests/Pages/RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

null

selenium_tests/Pages/RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

3

2020-12-31T08:03:30.000Z

2021-03-30T06:39:50.000Z

selenium_tests/Pages/RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

1

2021-06-20T09:13:03.000Z

from selenium.webdriver.common.by import By from selenium_tests.Config.config import TestData from selenium_tests.Data.Paths import Paths from selenium_tests.Pages.BasePage import BasePage class RegisterPage(BasePage): EMAIL = (By.ID, "email_field") PASSWORD = (By.ID, "password_field") PASSWORD_REPEAT = (By.ID, "password_repeat_field") FIRST_NAME = (By.ID, "first_name_field") LAST_NAME = (By.ID, "last_name_field") BIRTH_DATE = (By.ID, "birth_date_field") SUBMIT_BTN = (By.ID, "submit_btn") ERROR_MESSAGE = (By.XPATH, "//span[@data-variant='danger']") SUCCESS_MESSAGE = (By.XPATH, "//span[@data-variant='success']") PAGE_PATH = Paths.REGISTER def __init__(self, driver): super().__init__(driver) self.driver.get(TestData.BASE_URL + self.PAGE_PATH) def do_register(self, username, password, first_name, last_name, birth_date): self.do_send_keys(self.EMAIL, username) self.do_send_keys(self.PASSWORD, password) self.do_send_keys(self.PASSWORD_REPEAT, password) self.do_send_keys(self.FIRST_NAME, first_name) self.do_send_keys(self.LAST_NAME, last_name) self.do_send_keys(self.BIRTH_DATE, birth_date) self.do_click(self.SUBMIT_BTN) def reset_fields(self): self.do_clear(self.EMAIL) self.do_clear(self.PASSWORD) self.do_clear(self.PASSWORD_REPEAT) self.do_clear(self.FIRST_NAME) self.do_clear(self.LAST_NAME) self.do_clear(self.BIRTH_DATE) def is_register_btn_exists(self): return self.is_visible(self.SUBMIT_BTN) def is_email_field_exists(self): return self.is_visible(self.EMAIL) def is_password_field_exists(self): return self.is_visible(self.PASSWORD) def is_password_repeat_field_exists(self): return self.is_visible(self.PASSWORD_REPEAT) def is_birth_date_field_exists(self): return self.is_visible(self.BIRTH_DATE) def is_first_name_field_exists(self): return self.is_visible(self.FIRST_NAME) def is_last_name_field_exists(self): return self.is_visible(self.LAST_NAME) def is_danger_presented(self): return self.is_visible(self.ERROR_MESSAGE) def is_danger_not_presented(self): return self.is_invisible(self.ERROR_MESSAGE) def is_success_presented(self): return self.is_visible(self.SUCCESS_MESSAGE) def is_danger_message_equal(self, text): return self.get_element_text(self.ERROR_MESSAGE) == text def is_success_message_equal(self, text): return self.get_element_text(self.SUCCESS_MESSAGE) == text

34.285714

81

0.71553

378

2,640

4.653439

0.166667

0.044343

0.079591

0.090961

0.474133

0.364412

0.257533

0.19784

0.154633

0.054576

0

0.182197

2,640

76

82

34.736842

0.814729

0

0.062121

0.031061

0

1

0.263158

false

0.192982

0.070175

0.210526

0.736842

0

null

0

null

0

1

0

1

0

1

0

4

3898b905761b2eb901f47f7af0f4f160795f09dc

141

py

Python

reddit2telegram/channels/~inactive/r_childfree/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/~inactive/r_childfree/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/~inactive/r_childfree/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'childfree' t_channel = '@r_Childfree' def send_post(submission, r2t): return r2t.send_simple(submission)

15.666667

38

0.744681

19

141

5.315789

0.789474

0

0.02459

0.134752

141

8

39

17.625

0.803279

0.099291

0

0.166667

0

1

0.25

false

0

0.25

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c7fcc4062776a78be53c864a39cbb51e9625d5ca

1,621

py

Python

jpylib/jmath/_bits.py

JiniousChoi/encyclopedia-in-code

77bc551a03a2a3e3808e50016ece14adb5cfbd96

[ "MIT" ]

2

2018-07-20T10:15:49.000Z

2018-07-20T10:16:54.000Z

jpylib/jmath/_bits.py

JiniousChoi/encyclopedia-in-code

77bc551a03a2a3e3808e50016ece14adb5cfbd96

[ "MIT" ]

2

2018-06-26T09:12:44.000Z

2019-12-18T00:09:14.000Z

jpylib/jmath/_bits.py

JiniousChoi/encyclopedia-in-code

77bc551a03a2a3e3808e50016ece14adb5cfbd96

[ "MIT" ]

null

#!/usr/bin/python3 ## author: jinchoiseoul@gmail.com from math import inf def single_bit_ceil(n): ''' @return largest `1<<m` satisfying `2**m >= n` Note: 1<<m == 2**m ''' if n==0: return 0 p = 1 while p < n: p <<= 1 assert p >= n return p def single_bit_floor(n): ''' @return largest `1<<m` satisfying `2**m <= n` Note: 1<<m == 2**m ''' if n==0: return 0 assert n > 0 nxt, cur = n, inf while 0 < nxt: cur = nxt nxt &= nxt-1 assert 0 == nxt < cur <= n return cur import unittest class BitsTest(unittest.TestCase): def test_single_bit_ceil(self): self.assertEqual(single_bit_floor(0), 0) self.assertEqual(single_bit_ceil(1), 1) self.assertEqual(single_bit_ceil(2), 2) self.assertEqual(single_bit_ceil(3), 4) self.assertEqual(single_bit_ceil(4), 4) self.assertEqual(single_bit_ceil(5), 8) self.assertEqual(single_bit_ceil(6), 8) self.assertEqual(single_bit_ceil(7), 8) self.assertEqual(single_bit_ceil(8), 8) def test_single_bit_floor(self): self.assertEqual(single_bit_floor(0), 0) self.assertEqual(single_bit_floor(1), 1) self.assertEqual(single_bit_floor(2), 2) self.assertEqual(single_bit_floor(3), 2) self.assertEqual(single_bit_floor(4), 4) self.assertEqual(single_bit_floor(5), 4) self.assertEqual(single_bit_floor(6), 4) self.assertEqual(single_bit_floor(7), 4) self.assertEqual(single_bit_floor(8), 8) if __name__ == "__main__": unittest.main()

23.157143

53

0.611968

240

1,621

3.908333

0.191667

0.211087

0.402985

0.460554

0.684435

0.660981

0.228145

0

0.045417

0.25293

1,621

69

54

23.492754

0.729149

0.111043

0

0.097561

0

0.005674

0

0.512195

1

0.097561

false

0

0.04878

0

0.219512

0

null

1

0

null

0

1

0

4

2a4984d704a1a5fb8b24f5f06d43dfb39f03cfd3

207

py

Python

pygdpr/policies/translate_file_policy.py

GDPRxiv/crawler

178ef9ff6c3641ba8b761a49e42c2579e453c1ca

[ "MIT" ]

null

pygdpr/policies/translate_file_policy.py

GDPRxiv/crawler

178ef9ff6c3641ba8b761a49e42c2579e453c1ca

[ "MIT" ]

2

2022-02-19T06:56:03.000Z

2022-02-19T07:00:00.000Z

pygdpr/policies/translate_file_policy.py

GDPRxiv/crawler

178ef9ff6c3641ba8b761a49e42c2579e453c1ca

[ "MIT" ]

null

class TranslateFilePolicy(): allowed_formats = ['txt'] def is_allowed(self, filename): split = filename.split('.') format_ = split[1] return (format_ in self.allowed_formats)

29.571429

48

0.637681

22

207

5.772727

0.636364

0.220472

0

0.006369

0.241546

207

6

49

34.5

0.802548

0

0.019324

0

1

0.166667

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

4

2a589c16a6797b585f5993e3415df4b65fc2f68b

714

py

Python

main.py

dun933/FudanOCR

fd79b679044ea23fd9eb30691453ed0805d2e98b

[ "MIT" ]

1

2020-03-19T02:29:02.000Z

main.py

dun933/FudanOCR

fd79b679044ea23fd9eb30691453ed0805d2e98b

[ "MIT" ]

null

main.py

dun933/FudanOCR

fd79b679044ea23fd9eb30691453ed0805d2e98b

[ "MIT" ]

null

# -*- coding:utf-8 -*- from engine.trainer import Trainer from engine.env import Env from data.build import build_dataloader from engine.trainer_collection.MORAN import MORAN_Trainer from engine.trainer_collection.GRCNN import GRCNN_Trainer from engine.trainer_collection.RARE import RARE_Trainer from engine.trainer_collection.CRNN import CRNN_Trainer from engine.trainer_collection.PixelLink import PixelLink_Trainer from engine.trainer_collection.LSN import LSN_Trainer env = Env() train_loader, test_loader = build_dataloader(env.opt) newTrainer = GRCNN_Trainer(modelObject=env.model, opt=env.opt, train_loader=train_loader, val_loader=test_loader).train()

34

90

0.785714

95

714

5.684211

0.273684

0.148148

0.22037

0.3

0.314815

0

0.001645

0.148459

714

20

91

35.7

0.886513

0.028011

0

1

0

false

0

0.692308

0

0.692308

0

null

0

1

0

null

0

1

0

1

0

4

2a791e28efed57765e637fb2d20894ed487edaf0

20

py

Python

test/login.py

zhujinyu828/cy

3cdf51125fafed4986ba7243b6b43fcc30df9370

[ "MIT" ]

null

test/login.py

zhujinyu828/cy

3cdf51125fafed4986ba7243b6b43fcc30df9370

[ "MIT" ]

null

test/login.py

zhujinyu828/cy

3cdf51125fafed4986ba7243b6b43fcc30df9370

[ "MIT" ]

null

1.woshint 2.niyeshi

6.666667

9

0.8

4

20

4

1

0

0.111111

0.1

20

2

10

0.777778

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

2a91c0e2d77d62db226fe8a9c3b6fce9d02908d6

275

py

Python

controllers/machines.py

kbj2060/plantpointNutrients-backend

20c2e1e277368a186ed46844818f1e650d25fa03

[ "MIT" ]

null

controllers/machines.py

kbj2060/plantpointNutrients-backend

20c2e1e277368a186ed46844818f1e650d25fa03

[ "MIT" ]

null

controllers/machines.py

kbj2060/plantpointNutrients-backend

20c2e1e277368a186ed46844818f1e650d25fa03

[ "MIT" ]

null

from controllers.app import app from repository.machine_repo import machineRepository @app.get("/machines") def read_machines(): return machineRepository.read_machines() @app.post("/machines/create") def create_machines(): return machineRepository.create_machine()

25

53

0.792727

32

275

6.65625

0.46875

0.112676

0.29108

0

0.101818

275

11

54

25

0.862348

0

0.09058

0

1

0.25

true

0

0.25

0.75

0

null

0

1

0

null

0

1

0

1

0

4

aa491fe6cff45225c11b3413a4de43d5604b9b2c

418

py

Python

pingparsing/error.py

chuongntv/pingparsing

45f0c510bd992128e29096527791cd66c0250f78

[ "MIT" ]

null

pingparsing/error.py

chuongntv/pingparsing

45f0c510bd992128e29096527791cd66c0250f78

[ "MIT" ]

null

pingparsing/error.py

chuongntv/pingparsing

45f0c510bd992128e29096527791cd66c0250f78

[ "MIT" ]

null

# encoding: utf-8 """ .. codeauthor:: Tsuyoshi Hombashi <tsuyoshi.hombashi@gmail.com> """ from __future__ import absolute_import class PingStatisticsHeaderNotFoundError(Exception): """ Exception raised when a ping statistics header not found in a parsing text. """ class EmptyPingStatisticsError(Exception): """ Exception raised when a ping statistics is empty in a parsing text. """

19.904762

71

0.715311

46

418

6.391304

0.630435

0.108844

0.163265

0.190476

0.292517

0

0.002967

0.19378

418

20

72

20.9

0.869436

0.535885

0

1

0

true

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

aa5d31eeb3767f9550433ac72e62b859f805a5d4

128

py

Python

molecule/podman/tests/test_podman.py

iquzart/ansible-role-mariadb

7a852ccf88177d9c075d8577319a903d5edcfe1b

[ "MIT" ]

null

molecule/podman/tests/test_podman.py

iquzart/ansible-role-mariadb

7a852ccf88177d9c075d8577319a903d5edcfe1b

[ "MIT" ]

null

molecule/podman/tests/test_podman.py

iquzart/ansible-role-mariadb

7a852ccf88177d9c075d8577319a903d5edcfe1b

[ "MIT" ]

1

2021-06-13T07:40:40.000Z

"""Role testing files using testinfra.""" def test_mariadb_service_active(host): assert host.service('mariadb').is_running

25.6

45

0.765625

17

128

5.529412

0.823529

0

0.109375

128

5

45

25.6

0.824561

0.273438

0

0.079545

0

0.5

1

0.5

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

aa6245c0d00aafac3688c843b5c6ed960ffb518d

241

py

Python

main.py

jeremy886/crossword2019

e7fd5b8a79a3834b2d3c7fd51da336b23f9cfc8f

[ "MIT" ]

null

main.py

jeremy886/crossword2019

e7fd5b8a79a3834b2d3c7fd51da336b23f9cfc8f

[ "MIT" ]

null

main.py

jeremy886/crossword2019

e7fd5b8a79a3834b2d3c7fd51da336b23f9cfc8f

[ "MIT" ]

null

import tex_printable """ Step 1: - Create a new word list in words.txt - Run crosswords.py to generate crosswords_out.txt Step 2: - Run this program to call text_printable.py to generate crossword_puzzle.text """ tex_printable.print_tex()

20.083333

78

0.775934

40

241

4.525

0.675

0.132597

0

0.009709

0.145228

241

12

79

20.083333

0.868932

0

1

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

aa7c8b76035ace6b3e85e3ca1f6aa78318a12480

535

py

Python

Edabit/NoDuplicateLetters-Hard.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

Edabit/NoDuplicateLetters-Hard.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

Edabit/NoDuplicateLetters-Hard.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

#!/usr/bin/env python3 ''' Given a common phrase, return False if any individual word in the phrase contains duplicate letters. Return True otherwise. ''' def no_duplicate_letters(phrase): val = [phrase] nlst = ' '.join(val).split() st = [len(i) for i in nlst] ev = [len(set(i)) for i in nlst] return st == ev #Alternative solutions def no_duplicate_letters(phrase): return all(i.count(j)==1 for i in phrase.split() for j in i) def no_duplicate_letters(phrase): return all([len(set(i))==len(i) for i in phrase.split(' ')])

26.75

101

0.697196

91

535

4.032967

0.428571

0.174387

0.065395

0.171662

0.441417

0.196185

0

0.004444

0.158879

535

19

102

28.157895

0.811111

0.31215

0

0.3

0

0.005571

0

1

0.3

false

0

0.2

0.6

0

null

0

1

0

null

0

1

0

1

0

4

aa838313d513935184b5edad399628aa9a7191f4

459

py

Python

gem_controllers/current_controller.py

upb-lea/gem_control

242393dce0bbcb3a982594318daa1757687b1d3a

[ "MIT" ]

15

2021-05-03T18:31:22.000Z

2022-03-15T01:56:33.000Z

gem_controllers/current_controller.py

upb-lea/gem_control

242393dce0bbcb3a982594318daa1757687b1d3a

[ "MIT" ]

5

2021-05-09T19:16:35.000Z

2021-06-08T20:44:22.000Z

gem_controllers/current_controller.py

upb-lea/gem_control

242393dce0bbcb3a982594318daa1757687b1d3a

[ "MIT" ]

null

import numpy as np import gym_electric_motor as gem import gem_controllers as gc class CurrentController(gc.GemController): def control(self, state, reference): raise NotImplementedError def tune(self, env, env_id, **kwargs): raise NotImplementedError @property def voltage_reference(self) -> np.ndarray: raise NotImplementedError @property def t_n(self) -> np.ndarray: raise NotImplementedError

20.863636

46

0.705882

53

459

6

0.54717

0.301887

0.201258

0.220126

0.232704

0

0.22658

459

21

47

21.857143

0.895775

0

0.428571

0

1

0.285714

false

0

0.214286

0

0.571429

0

null

1

0

null

0

1

0

4

aab343076828abe4a972220f2691735f2cb73eea

86

py

Python

plugins/greet_spanish.py

kyclark/python_plugins

da2f433b2f0323389ca2c24ac47e5fb097ef805d

[ "MIT" ]

null

plugins/greet_spanish.py

kyclark/python_plugins

da2f433b2f0323389ca2c24ac47e5fb097ef805d

[ "MIT" ]

null

plugins/greet_spanish.py

kyclark/python_plugins

da2f433b2f0323389ca2c24ac47e5fb097ef805d

[ "MIT" ]

null

def greet(name: str) -> str: """Greet in Spanish""" return f"¡Hola, {name}!"

17.2

28

0.546512

13

86

3.692308

0.769231

0

0.232558

86

4

29

21.5

0.712121

0.186047

0

0.21875

0

1

0.5

false

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

aace60065c8ca87d2ea84fce28749351770617c0

73

py

Python

backend/routes/__init__.py

ffont/FreesoundExplorer2

635f2c70741a4218ff2118c49b747b6d33266999

[ "MIT" ]

14

2016-11-22T14:56:19.000Z

2021-01-04T11:43:27.000Z

backend/routes/__init__.py

noVaSon/freesound-explorer

92181855d59e181da0f5b140369d7e0067761ab3

[ "MIT" ]

63

2016-09-04T08:43:34.000Z

2021-05-24T09:52:28.000Z

backend/routes/__init__.py

noVaSon/freesound-explorer

92181855d59e181da0f5b140369d7e0067761ab3

[ "MIT" ]

5

2017-01-16T16:56:05.000Z

2019-02-25T16:03:10.000Z

from backend.routes import main from social.apps.flask_app import routes

24.333333

40

0.849315

12

73

5.083333

0.75

0

0.109589

73

2

41

36.5

0.938462

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

aad771b2b741a1418146c73959718eb7b27b52e0

763

py

Python

src/checklisting/provider/__init__.py

michalbachowski/python-checklisting

31cbe1fb87683ffbb21104585e318d844fc7c52b

[ "MIT" ]

null

src/checklisting/provider/__init__.py

michalbachowski/python-checklisting

31cbe1fb87683ffbb21104585e318d844fc7c52b

[ "MIT" ]

null

src/checklisting/provider/__init__.py

michalbachowski/python-checklisting

31cbe1fb87683ffbb21104585e318d844fc7c52b

[ "MIT" ]

null

from abc import ABC, abstractmethod from typing import Callable, Iterable, Iterator from checklisting.task import Checklist class BaseChecklistsProvider(ABC): @abstractmethod def get_all(self) -> Iterator[Checklist]: pass @abstractmethod def get_filtered(self, predicate: Callable[[Checklist], bool]) -> Iterator[Checklist]: pass class StaticChecklistsProvider(BaseChecklistsProvider): def __init__(self, checklists: Iterable[Checklist]) -> None: self._checklists = list(checklists) def get_all(self) -> Iterator[Checklist]: return iter(self._checklists) def get_filtered(self, predicate: Callable[[Checklist], bool]) -> Iterator[Checklist]: return filter(predicate, self._checklists)

27.25

90

0.72346

78

763

6.935897

0.371795

0.044362

0.073937

0.048059

0.351201

0.240296

0

0.179554

763

27

91

28.259259

0.864217

0

0.470588

0

1

0.294118

false

0.117647

0.176471

0.117647

0.705882

0

null

0

null

0

1

0

1

0

1

0

4

2aa09506073f1ca7be0491d71c745533c0e0cbb6

104

py

Python

py_tdlib/constructors/chat_action_uploading_document.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/chat_action_uploading_document.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/chat_action_uploading_document.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Type class chatActionUploadingDocument(Type): progress = None # type: "int32"

17.333333

40

0.75

11

104

7.090909

0.818182

0

0.022727

0.153846

104

5

41

20.8

0.863636

0.125

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2ad2f753b5e41049e9fa33803137672b1fa7ad67

37

py

Python

foiamachine/local/lib/python2.7/encodings/cp437.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

3

2021-08-07T04:01:55.000Z

2021-08-07T05:12:11.000Z

foiamachine/local/lib/python2.7/encodings/cp437.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

null

foiamachine/local/lib/python2.7/encodings/cp437.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

1

2021-08-05T22:51:14.000Z

/usr/lib/python2.7/encodings/cp437.py

37

0.810811

7

37

4.285714

1

0

0.135135

0

37

1

37

0.675676

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

630d07fcb74213c8cad6b3fc82978bac583b6ecc

2,078

py

Python

tests/test_zad2.py

TestowanieAutomatyczneUG/laboratorium-9-wiktormorawski

f4067f7dd8d3c88d95cadddd58a10269f981603f

[ "MIT" ]

null

tests/test_zad2.py

TestowanieAutomatyczneUG/laboratorium-9-wiktormorawski

f4067f7dd8d3c88d95cadddd58a10269f981603f

[ "MIT" ]

null

tests/test_zad2.py

TestowanieAutomatyczneUG/laboratorium-9-wiktormorawski

f4067f7dd8d3c88d95cadddd58a10269f981603f

[ "MIT" ]

null

import unittest from unittest.mock import * from zad2 import Car class TestCarMock(unittest.TestCase): def setUp(self): self.test_object = Car() """needsFuel TESTS""" @patch.object(Car, 'needsFuel') def test_needsFuel_dont(self, mock_method): mock_method.return_value = False result = self.test_object.needsFuel() self.assertEqual(mock_method.return_value, result, "return value of needFuel not equal with False") @patch.object(Car, 'needsFuel') def test_needsFuel_do(self, mock_method): mock_method.return_value = True result = self.test_object.needsFuel() self.assertEqual(mock_method.return_value, result, "return value of needFuel not equal with True") """DriveTo TESTS""" @patch.object(Car, 'driveTo') def test_driveTo(self, mock_method): destination = 'Olsztyn' mock_method.return_value = 'On my way to ' + destination result = self.test_object.driveTo(destination) self.assertEqual(mock_method.return_value, result) """GetEngineTemperature TESTS""" @patch.object(Car, 'getEngineTemperature') def test_getEngineTemperature_temp_under_normal(self, mock_method): mock_method.return_value = 'Temperature under normal' result = self.test_object.getEngineTemperature() self.assertEqual(mock_method.return_value, result, 'Temp not below OK') @patch.object(Car, 'getEngineTemperature') def test_getEngineTemperature_temp_ok(self, mock_method): mock_method.return_value = 'Temperature normal' result = self.test_object.getEngineTemperature() self.assertEqual(mock_method.return_value, result, 'Temp not OK') @patch.object(Car, 'getEngineTemperature') def test_getEngineTemperature_temp_above_ok(self, mock_method): mock_method.return_value = 'Temperature abovenormal' result = self.test_object.getEngineTemperature() self.assertEqual(mock_method.return_value, result, 'Temp not above OK') def tearDown(self): self.test_object = None

38.481481

107

0.714148

244

2,078

5.860656

0.20082

0.125874

0.134266

0.176224

0.711888

0.579021

0.501399

0.340559

0

0.000593

0.189124

2,078

54

108

38.481481

0.848071

0

0.25641

0

0.15147

0

0.153846

1

0.205128

false

0

0.076923

0

0.307692

0

null

0

1

0

1

0

null

0

1

0

4

631eb81af083eb6035d58f09389173814fc6c567

351

py

Python

classes/expense.py

GuillaumeDmns/cost-balancing

b9515af360336bb2dceb596b9a93b23642fe4bea

[ "MIT" ]

null

classes/expense.py

GuillaumeDmns/cost-balancing

b9515af360336bb2dceb596b9a93b23642fe4bea

[ "MIT" ]

null

classes/expense.py

GuillaumeDmns/cost-balancing

b9515af360336bb2dceb596b9a93b23642fe4bea

[ "MIT" ]

null

class Expense: def __init__(self, name, amount): self._name = name self._amount = amount def get_name(self): return self._name def set_name(self, new_name): self._name = new_name def get_amount(self): return self._amount def set_amount(self, new_amount): self._name = new_amount

20.647059

37

0.618234

47

351

4.234043

0.234043

0.201005

0.140704

0

0.296296

351

16

38

21.9375

0.805668

0

1

0.416667

false

0

0.166667

0.666667

0

null

1

0

null

0

1

0

1

0

4

63253f1b9f1e96715e620c791b9425ed58245e91

3,305

py

Python

src/rocommand/test/TestAll.py

A-Mazurek/ro-manager

e49b6025b89594e036fdb2b56c8b871717b3b620

[ "MIT-0", "MIT" ]

11

2015-01-19T04:21:58.000Z

2019-02-21T11:54:45.000Z

src/rocommand/test/TestAll.py

A-Mazurek/ro-manager

e49b6025b89594e036fdb2b56c8b871717b3b620

[ "MIT-0", "MIT" ]

1

2016-10-18T14:35:36.000Z

2016-10-25T19:12:05.000Z

src/rocommand/test/TestAll.py

A-Mazurek/ro-manager

e49b6025b89594e036fdb2b56c8b871717b3b620

[ "MIT-0", "MIT" ]

7

2015-03-04T17:22:00.000Z

2022-03-14T15:55:23.000Z

#!/usr/bin/env python __author__ = "Graham Klyne (GK@ACM.ORG)" __copyright__ = "Copyright 2011-2013, University of Oxford" __license__ = "MIT (http://opensource.org/licenses/MIT)" import sys, unittest, os if __name__ == "__main__": # Add main project directory and ro manager directories at start of python path sys.path.insert(0, "..") sys.path.insert(0, "../..") sys.path.insert(0, "../../iaeval/test") sys.path.insert(0, "../../checklist/test") sys.path.insert(0, "../../sync/test") sys.path.insert(0, "../../roweb") sys.path.insert(0, "../../roweb/test") import TestConfig import TestSparqlQueries import TestBasicCommands import TestAnnotationUtils import TestManifest import TestROMetadata import TestAnnotations import TestLinks import TestROSRS_Session import TestROSRSMetadata import TestSyncCommands import TestRemoteROMetadata import TestRosrsSync import TestEvoCommands import TestMinimAccess import TestMinimAccess2 import TestEvalChecklist import TestEvalQueryMatch import TestRdfReport import TestGridMatch import TestMkMinim # Code to run unit tests from all library test modules def getTestSuite(select="unit"): suite = unittest.TestSuite() suite.addTest(TestSparqlQueries.getTestSuite(select=select)) suite.addTest(TestBasicCommands.getTestSuite(select=select)) suite.addTest(TestAnnotationUtils.getTestSuite(select=select)) suite.addTest(TestManifest.getTestSuite(select=select)) suite.addTest(TestROMetadata.getTestSuite(select=select)) suite.addTest(TestAnnotations.getTestSuite(select=select)) suite.addTest(TestLinks.getTestSuite(select=select)) suite.addTest(TestMinimAccess.getTestSuite(select=select)) suite.addTest(TestMinimAccess2.getTestSuite(select=select)) suite.addTest(TestEvalChecklist.getTestSuite(select=select)) suite.addTest(TestEvalQueryMatch.getTestSuite(select=select)) suite.addTest(TestRdfReport.getTestSuite(select=select)) suite.addTest(TestGridMatch.getTestSuite(select=select)) suite.addTest(TestMkMinim.getTestSuite(select=select)) if select != "unit": suite.addTest(TestROSRS_Session.getTestSuite(select=select)) suite.addTest(TestRemoteROMetadata.getTestSuite(select=select)) suite.addTest(TestROSRSMetadata.getTestSuite(select=select)) suite.addTest(TestRosrsSync.getTestSuite(select=select)) suite.addTest(TestSyncCommands.getTestSuite(select=select)) suite.addTest(TestEvoCommands.getTestSuite(select)); return suite from MiscUtils import TestUtils def runTestSuite(): """ Transfer function for setup.py script ro-manager-test """ base = os.path.dirname(__file__) #print "Run test suite assuming base path "+base sys.path.insert(0, os.path.normpath(base+"/..") ) sys.path.insert(0, os.path.normpath(base+"/../..") ) sys.path.insert(0, os.path.normpath(base+"/../../iaeval/test") ) sys.path.insert(0, os.path.normpath(base+"/../../sync/test") ) #print "Path: "+repr(sys.path) TestUtils.runTests("TestAll", getTestSuite, sys.argv) return 0 if __name__ == "__main__": print "By default, runs quick tests only." print "Use \"python TestAll.py all\" to run all tests" TestUtils.runTests("TestAll", getTestSuite, sys.argv) # End.

37.134831

83

0.741604

370

3,305

6.532432

0.294595

0.156392

0.188664

0.21597

0.414564

0.121638

0.07199

0.041374

0

0.007668

0.131921

3,305

88

84

37.556818

0.834786

0.070197

0

0.057143

0

0.10974

0

null

0

0.328571

null

0.028571

0

null

0

1

0

null

0

1

0

1

0

4

2d83efe7c3959ede118ef8c59c19582ad3c63c61

1,099

py

Python

greenbot/modules/__init__.py

EMorf/greenbot

5528fcb9246109d6742a867b9668a408d43701d6

[ "MIT" ]

null

greenbot/modules/__init__.py

EMorf/greenbot

5528fcb9246109d6742a867b9668a408d43701d6

[ "MIT" ]

null

greenbot/modules/__init__.py

EMorf/greenbot

5528fcb9246109d6742a867b9668a408d43701d6

[ "MIT" ]

null

from greenbot.modules.base import BaseModule from greenbot.modules.base import ModuleSetting from greenbot.modules.base import ModuleType from greenbot.modules.basic import BasicCommandsModule from greenbot.modules.basic.admincommands import AdminCommandsModule from greenbot.modules.advancedadminlog import AdvancedAdminLog from greenbot.modules.activitytracker import ActivityTracker from greenbot.modules.chatchart import ChatChart from greenbot.modules.giveaway import GiveawayModule from greenbot.modules.memes import Memes from greenbot.modules.movienight import MovieNight from greenbot.modules.remindme import RemindMe from greenbot.modules.role_to_level import RoleToLevel from greenbot.modules.twitch_tracker import TwitchTracker from greenbot.modules.timeout import TimeoutModule from greenbot.modules.twitter import Twitter available_modules = [ AdminCommandsModule, AdvancedAdminLog, ActivityTracker, BasicCommandsModule, ChatChart, GiveawayModule, Memes, MovieNight, RemindMe, RoleToLevel, TimeoutModule, TwitchTracker, Twitter, ]

32.323529

68

0.832575

115

1,099

7.921739

0.269565

0.210757

0.333699

0.075741

0.095499

0

0.122839

1,099

33

69

33.30303

0.945021

0

1

0

false

0

0.516129

0

0.516129

0

null

1

0

null

0

1

0

1

0

4

2d889c1134ab2ca2e9cb60521ee955183bedb7f1

41

py

Python

Chapter01/pipenv_run.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

13

2018-06-21T01:44:49.000Z

2021-12-01T10:49:53.000Z

Chapter01/pipenv_run.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

null

Chapter01/pipenv_run.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

6

2018-10-05T08:29:24.000Z

2022-01-11T14:49:50.000Z

>>>pipenv run python3 <program_name>.py

13.666667

39

0.731707

6

41

4.833333

1

0

0.027778

0.121951

41

2

40

20.5

0.777778

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

2d9b03adf213cc98a0493a31a6352ac186f53f38

1,045

py

Python

pirates/leveleditor/worldData/interior_spanish_store_destroyed.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

3

2021-02-25T06:38:13.000Z

2022-03-22T07:00:15.000Z

pirates/leveleditor/worldData/interior_spanish_store_destroyed.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

null

pirates/leveleditor/worldData/interior_spanish_store_destroyed.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

1

2021-02-25T06:38:17.000Z

# uncompyle6 version 3.2.0 # Python bytecode 2.4 (62061) # Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)] # Embedded file name: pirates.leveleditor.worldData.interior_spanish_store_destroyed from pandac.PandaModules import Point3, VBase3, Vec4, Vec3 objectStruct = {'Objects': {'1276101352.0caoconno': {'Type': 'Building Interior', 'Name': '', 'Objects': {'1276101582.69caoconno': {'Type': 'Barrel', 'DisableCollision': False, 'Holiday': '', 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(4.95, 10.08, -0.0), 'Scale': Point3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Model': 'models/props/pir_m_prp_cnt_barrelB_destroyed'}}}}}, 'Node Links': [], 'Layers': {}, 'ObjectIds': {'1276101352.0caoconno': '["Objects"]["1276101352.0caoconno"]', '1276101582.69caoconno': '["Objects"]["1276101352.0caoconno"]["Objects"]["1276101582.69caoconno"]'}} extraInfo = {'camPos': Point3(18.6895, -47.9089, 13.2969), 'camHpr': VBase3(16.9022, -4.71118, 0), 'focalLength': 1.39999997616, 'skyState': 2, 'fog': 0}

149.285714

585

0.684211

141

1,045

5.014184

0.652482

0.016973

0.008487

0

0.210526

0.090909

1,045

7

586

149.285714

0.533684

0.227751

0

0.488169

0.239103

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

1

0

null

0

1

0

4

2da65dc27933a0883c1d285874f6d78c7387a021

78

py

Python

tests/basics/0prelim.py

learnforpractice/micropython-cpp

004bc8382f74899e7b876cc29bfa6a9cc976ba10

[ "MIT" ]

13,648

2015-01-01T01:34:51.000Z

2022-03-31T16:19:53.000Z

tests/basics/0prelim.py

learnforpractice/micropython-cpp

004bc8382f74899e7b876cc29bfa6a9cc976ba10

[ "MIT" ]

7,092

2015-01-01T07:59:11.000Z

2022-03-31T23:52:18.000Z

tests/basics/0prelim.py

learnforpractice/micropython-cpp

004bc8382f74899e7b876cc29bfa6a9cc976ba10

[ "MIT" ]

4,942

2015-01-02T11:48:50.000Z

2022-03-31T19:57:10.000Z

# all tests need print to work! make sure it does work print(1) print('abc')

15.6

54

0.705128

15

78

3.666667

0.8

0

0.015873

0.192308

78

4

55

19.5

0.857143

0.666667

0

0.125

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2dcc64b6dd2e49fac8a09323556e24b559ae3f9b

5,389

py

Python

pyroms_toolbox/pyroms_toolbox/sandbox/roms_movie.py

ChuningWang/pyroms

4f3773d39683ce78e76b30d0e41955f47d56edc2

[ "BSD-3-Clause" ]

null

pyroms_toolbox/pyroms_toolbox/sandbox/roms_movie.py

ChuningWang/pyroms

4f3773d39683ce78e76b30d0e41955f47d56edc2

[ "BSD-3-Clause" ]

null

pyroms_toolbox/pyroms_toolbox/sandbox/roms_movie.py

ChuningWang/pyroms

4f3773d39683ce78e76b30d0e41955f47d56edc2

[ "BSD-3-Clause" ]

null

# encoding: utf-8 import os import subprocess import netCDF4 import matplotlib.pyplot as plt import octant def make_movie(filelst, varname, cmin, cmax, view, lev=0, istart=None, iend=None, grd=None, proj='merc', imode='on', title='', clean=False): """ make a movie using a 2D horizontal slice of variable varname from nc files in filelst """ # get variable data = netCDF4.MFDataset(filelst) var = data.variables[varname] # get grid if grd is None: grd = octant.roms.roms_grid.get_roms_grd(filelst[0]) else: grd = grd # determine where on the C-grid these variable lies if var.dimensions[2].find('_rho') != -1: Cpos = 'rho' if var.dimensions[2].find('_u') != -1: Cpos = 'u' if var.dimensions[2].find('_v') != -1: Cpos = 'v' # get time time = data.variables['ocean_time'][:] if istart is not None: istart = istart else: istart = 0 if iend is not None: iend = iend else: iend = time.shape[0] if cmin is None: cmin = var.min() else: cmin = float(cmin) if cmax is None: cmax = var.max() else: cmax = float(cmax) if imode == 'off': print('Turn interactive mode off') plt.ioff() for tindex in range(istart, iend, 1): if view == 'sview': octant.roms.roms_plot.varsview( var, grd, tindex, lev, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') elif view == 'zview': octant.roms.roms_plot.varzview( var, grd, tindex, lev, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') elif view == 'view2D': octant.roms.roms_plot.varview2D( var, grd, tindex, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') else: print('Option not available. ' + 'View must be set to sview, zview or view2D') outfile = str('%05d' % tindex) + '.png' os.rename('plot.png', outfile) command = ('mencoder', 'mf://0*.png', '-mf', 'type=png:w=800:h=600:fps=25', '-ovc', 'lavc', '-lavcopts', 'vcodec=mpeg4', '-oac', 'copy', '-o', 'output.avi') print("\n\nabout to execute:\n%s\n\n" % ' '.join(command)) subprocess.check_call(command) print("\n\n The movie was written to 'output.avi'") if imode == 'off': print('Turn interactive mode on again') plt.ion() if clean is True: for tindex in range(istart, iend, 1): os.remove(str('%04d' % tindex) + '.png') return def make_big_movie(filelst, varname, cmin, cmax, Cpos, view, lev=0, grd=None, proj='merc', imode='on', title='', clean=False): """ make a movie using a 2D horizontal slice of variable varname from nc files in filelst """ # get grid if grd is None: grd = octant.roms.roms_grid.get_roms_grd(filelst[0]) else: grd = grd nfile = len(filelst) if imode == 'off': print('Turn interactive mode off') plt.ioff() counter = 0 for ifile in range(nfile): # get variable data = netCDF4.Dataset(filelst[ifile], 'r') var = data.variables[varname] # get time time = data.variables['ocean_time'][:] for tindex in range(time.shape[0]): if view == 'sview': octant.roms.roms_plot.varsview( var, grd, tindex, lev, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') elif view == 'zview': octant.roms.roms_plot.varzview( var, grd, tindex, lev, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') elif view == 'view2D': octant.roms.roms_plot.varview2D( var, grd, tindex, Cpos, cmin=cmin, cmax=cmax, proj=proj, title=title, outfile='plot.png') else: print('Option not available. ' + 'View must be set to sview, zview or view2D') Tindex = counter + tindex outfile = str('%05d' % Tindex) + '.png' os.rename('plot.png', outfile) counter = counter + time.shape[0] command = ('mencoder', 'mf://0*.png', '-mf', 'type=png:w=800:h=600:fps=25', '-ovc', 'lavc', '-lavcopts', 'vcodec=mpeg4', '-oac', 'copy', '-o', 'output.avi') if imode == 'off': print('Turn interactive mode on again') plt.ion() print("\n\nabout to execute:\n%s\n\n" % ' '.join(command)) subprocess.check_call(command) print("\n\n The movie was written to 'output.avi'") if clean is True: for tindex in range(counter): os.remove(str('%05d' % tindex) + '.png') return

26.416667

77

0.501948

642

5,389

4.179128

0.227414

0.023854

0.041744

0.040253

0.76817

0.708535

0.669773

0.6489

0

0.016686

0.366116

5,389

203

78

26.546798

0.768735

0.055669

0

0.707143

0

0.151497

0.010708

0

1

0.014286

false

0

0.035714

0

0.064286

0.071429

0

null

0

1

0

1

0

1

0

null

0

4

2dd16cbcf3ca134afb7c3007dee96d5dac66a107

122

py

Python

yc130/339.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc130/339.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc130/339.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

from math import gcd from functools import reduce N, *A = map(int, open(0).read().split()) print(100 // reduce(gcd, A))

17.428571

40

0.672131

21

122

3.904762

0.761905

0

0.038835

0.155738

122

6

41

20.333333

0.757282

0

1

0

true

0

0.5

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

2ddedde02b412274d553c995f97d3c6c24669f46

658

bzl

Python

source/bazel/deps/fast_io/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

1

2019-01-06T08:45:46.000Z

source/bazel/deps/fast_io/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

264

2015-11-30T08:34:00.000Z

2018-06-26T02:28:41.000Z

source/bazel/deps/fast_io/get.bzl

UniLang/compiler

c338ee92994600af801033a37dfb2f1a0c9ca897

[ "MIT" ]

null

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file") def fastIo(): http_archive( name = "fast_io", build_file = "//bazel/deps/fast_io:build.BUILD", sha256 = "784191db22789ad7d78dbfea42803595712f32d0d61a0fed6a09b2c18b13f12b", strip_prefix = "fast_io-a9c59fde3a378cda9c7cb021559880a843ecc880", urls = [ "https://github.com/Unilang/fast_io/archive/a9c59fde3a378cda9c7cb021559880a843ecc880.tar.gz", ], )

38.705882

105

0.712766

71

658

6.408451

0.605634

0.052747

0.061538

0.083516

0.189011

0

0.167273

0.164134

658

16

106

41.125

0.66

0.153495

0

1

0

0.631769

0.418773

0

1

0.083333

true

0

0.083333

0

null

0

1

0

1

null

0

1

0

4

934a7e8ea291f600c20f748cee60d2318f44094c

95

py

Python

example/test_keepers/gym_interface/bookkeeper.py

RubenvanHeusden/HFO-Robotkeeper

03bbe1170d703b7f264ef245b99a0ced2759ed39

[ "MIT" ]

null

example/test_keepers/gym_interface/bookkeeper.py

RubenvanHeusden/HFO-Robotkeeper

03bbe1170d703b7f264ef245b99a0ced2759ed39

[ "MIT" ]

null

example/test_keepers/gym_interface/bookkeeper.py

RubenvanHeusden/HFO-Robotkeeper

03bbe1170d703b7f264ef245b99a0ced2759ed39

[ "MIT" ]

null

import numpy as np import pandas as pd class BookKeeper: def __init__(self): pass

13.571429

23

0.684211

14

95

4.357143

0.857143

0

0.273684

95

6

24

15.833333

0.884058

0

1

0.2

false

0.2

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

4

935d0ea75b4ea577f851e5b997d0c1c3cb2cb7c5

1,556

py

Python

voter_location/districts/migrations/0001_initial.py

johnshiver/vote_location

95330bec5060f83fe2f2fe582f8ec63f740b035b

[ "MIT" ]

null

voter_location/districts/migrations/0001_initial.py

johnshiver/vote_location

95330bec5060f83fe2f2fe582f8ec63f740b035b

[ "MIT" ]

null

voter_location/districts/migrations/0001_initial.py

johnshiver/vote_location

95330bec5060f83fe2f2fe582f8ec63f740b035b

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-03-05 00:43 from __future__ import unicode_literals import django.contrib.gis.db.models.fields from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='District', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('statename', models.CharField(max_length=50)), ('d_id', models.CharField(max_length=12)), ('district', models.CharField(max_length=2)), ('startcong', models.CharField(max_length=10)), ('endcong', models.CharField(max_length=10)), ('districtsi', models.CharField(max_length=32)), ('county', models.CharField(max_length=32)), ('page', models.CharField(max_length=32)), ('law', models.CharField(max_length=32)), ('note', models.CharField(max_length=32)), ('bestdec', models.CharField(max_length=32)), ('finalnote', models.CharField(max_length=26)), ('rnote', models.CharField(max_length=32)), ('lastchange', models.CharField(max_length=29)), ('fromcounty', models.CharField(max_length=2)), ('geom', django.contrib.gis.db.models.fields.MultiPolygonField(srid=4269)), ], ), ]

38.9

114

0.577763

161

1,556

5.434783

0.440994

0.257143

0.308571

0.411429

0.393143

0.068571

0

0.043478

0.275707

1,556

39

115

39.897436

0.732919

0.043702

0

1

0

0.081481

0

1

0

false

0

0.096774

0

0.225806

0

null

1

0

1

0

null

0

4

fa7fb888db581e0528b96c38c402b129977e14f9

171

py

Python

tests/web_platform/css_grid_1/grid_items/test_grid_items_sizing_alignment.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

71

2015-04-13T09:44:14.000Z

2019-03-24T01:03:02.000Z

tests/web_platform/css_grid_1/grid_items/test_grid_items_sizing_alignment.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

35

2019-05-06T15:26:09.000Z

2022-03-28T06:30:33.000Z

tests/web_platform/css_grid_1/grid_items/test_grid_items_sizing_alignment.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

139

2015-05-30T18:37:43.000Z

2019-03-27T17:14:05.000Z

from tests.utils import W3CTestCase class TestGridItemsSizingAlignment(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'grid-items-sizing-alignment-'))

28.5

83

0.807018

18

171

7.388889

0.833333

0

0.019108

0.081871

171

5

84

34.2

0.828025

0

0.163743

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fa8d53f9fa884b4599a8e318ab444d0d4fe2a6c2

121

py

Python

src/plugins/radeky_bot/utils/bilibiliuploader/__init__.py

Radekyspec/Radeky_bot

24ee088026c7443723a5e9c72abfb512ca3b3327

[ "MIT" ]

4

2021-12-25T10:17:13.000Z

2022-03-03T03:29:07.000Z

src/plugins/radeky_bot/utils/bilibiliuploader/__init__.py

Radekyspec/Radeky_bot

24ee088026c7443723a5e9c72abfb512ca3b3327

[ "MIT" ]

null

src/plugins/radeky_bot/utils/bilibiliuploader/__init__.py

Radekyspec/Radeky_bot

24ee088026c7443723a5e9c72abfb512ca3b3327

[ "MIT" ]

1

2021-12-25T10:17:16.000Z

from .bilibiliuploader import BilibiliUploader from .core import VideoPart from . import BiliAuth __version__ = '0.0.6'

20.166667

46

0.801653

15

121

6.2

0.6

0

0.028571

0.132231

121

5

47

24.2

0.857143

0

0.041322

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fa8e533d9b6e1e1eb0f723662c70c4175b53f1b6

68

py

Python

create_database.py

project-nichijou/nichijou-db-tools

e75322415117d11d1453955fced6e5d6141ec1c6

[ "MIT" ]

null

create_database.py

project-nichijou/nichijou-db-tools

e75322415117d11d1453955fced6e5d6141ec1c6

[ "MIT" ]

null

create_database.py

project-nichijou/nichijou-db-tools

e75322415117d11d1453955fced6e5d6141ec1c6

[ "MIT" ]

null

from database.database import NichijouDatabase NichijouDatabase()

13.6

46

0.852941

6

68

9.666667

0.666667

0

0.102941

68

4

47

17

0.95082

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fa90edff9589239dd8331c40615642864b778c96

140

py

Python

app/message/views.py

KimKiHyuk/django-boilerplate

198a02e09366787549c3d7a76a98a0ea916af932

[ "MIT" ]

null

app/message/views.py

KimKiHyuk/django-boilerplate

198a02e09366787549c3d7a76a98a0ea916af932

[ "MIT" ]

1

2020-12-17T09:54:15.000Z

app/message/views.py

KimKiHyuk/django-boilerplate

198a02e09366787549c3d7a76a98a0ea916af932

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. def myfunc_with_events(event, context): print('here!!!') print(event)

23.333333

39

0.728571

19

140

5.263158

0.842105

0

0.157143

140

6

40

23.333333

0.847458

0.164286

0

0.060345

0

1

0.25

false

0

0.25

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

faa3c4b97a57f8779239df0a39edceaf0b6a7c49

267

py

Python

MainApp/admin.py

MadhavPruthi/Email-Scraping-from-publication

7dd289e7ec9f5c19a57ac70ab4bae7bf1c8f9325

[ "Apache-2.0" ]

3

2021-03-23T03:48:03.000Z

2021-11-24T04:08:38.000Z

MainApp/admin.py

MadhavPruthi/Email-Scraping-from-publication

7dd289e7ec9f5c19a57ac70ab4bae7bf1c8f9325

[ "Apache-2.0" ]

3

2020-06-06T00:17:14.000Z

2021-06-10T22:23:50.000Z

MainApp/admin.py

MadhavPruthi/Email-Scraping-from-publication

7dd289e7ec9f5c19a57ac70ab4bae7bf1c8f9325

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import EmailInfo, DOIQuery, EmailInfoJournal, JournalQuery # Register your models here. admin.site.register(EmailInfo) admin.site.register(DOIQuery) admin.site.register(JournalQuery) admin.site.register(EmailInfoJournal)

33.375

71

0.838951

32

267

7

0.4375

0.160714

0.303571

0

0.074906

267

8

72

33.375

0.906883

0.097378

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

4

faade2e9a3d4624415700e5f831ecdbf559da630

118

py

Python

tests/worker/tests_worker.py

vtalks/twitter_worker

2a049817b8db5e8357075d101efcd2adea2cc2d2

[ "Apache-2.0" ]

1

2018-01-29T16:46:32.000Z

tests/worker/tests_worker.py

vtalks/twitter_worker

2a049817b8db5e8357075d101efcd2adea2cc2d2

[ "Apache-2.0" ]

1

2018-02-06T08:07:19.000Z

2018-02-06T13:41:38.000Z

tests/tests_worker.py

vtalks/updater_worker

568ee2cecaf2a524dab4bf930c5e3f444c96744a

[ "Apache-2.0" ]

null

import unittest class WorkerTest(unittest.TestCase): def test_dummy(self): self.assertEqual(True, True)

16.857143

36

0.720339

14

118

6

0.785714

0

0.186441

118

7

37

16.857143

0.875

0

0.25

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fadc80cc24c92b0d42c901d381ac789348ca518e

69

py

Python

contests/atcoder/abc063/a.py

conao3/coder

2cdb610fec013da88a3470d460108e8a9b462445

[ "CC0-1.0" ]

null

contests/atcoder/abc063/a.py

conao3/coder

2cdb610fec013da88a3470d460108e8a9b462445

[ "CC0-1.0" ]

null

contests/atcoder/abc063/a.py

conao3/coder

2cdb610fec013da88a3470d460108e8a9b462445

[ "CC0-1.0" ]

null

a, b = map(int, input().split()) print(a+b if a+b <= 9 else 'error')

23

35

0.565217

15

69

2.6

0.733333

0.153846

0

0.017544

0.173913

69

2

36

34.5

0.666667

0

0.072464

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

faeb32e215de2ea849498abb814dd23789f0c1fb

93

py

Python

test_frame/test_broker_kafka/kafka_publisher_test.py

DJMIN/funboost

7570ca2909bb0b44a1080f5f98aa96c86d3da9d4

[ "Apache-2.0" ]

333

2019-08-08T10:25:27.000Z

2022-03-30T07:32:04.000Z

test_frame/test_broker_kafka/kafka_publisher_test.py

mooti-barry/funboost

2cd9530e2c4e5a52fc921070d243d402adbc3a0e

[ "Apache-2.0" ]

38

2020-04-24T01:47:51.000Z

2021-12-20T07:22:15.000Z

test_frame/test_broker_kafka/kafka_publisher_test.py

mooti-barry/funboost

2cd9530e2c4e5a52fc921070d243d402adbc3a0e

[ "Apache-2.0" ]

84

2019-08-09T11:51:14.000Z

2022-03-02T06:29:09.000Z

from kafka_cosumer_test import f # i = 203 # f.push(i) for i in range(200): f.push(i)

10.333333

32

0.634409

19

93

3

0.684211

0.175439

0.210526

0

0.084507

0.236559

93

8

33

11.625

0.71831

0.182796

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

4f0593669854c9f3091d4f7782d98374183bc61a

102

py

Python

rotkehlchen/chain/ethereum/modules/kyber/__init__.py

rotkehlchenio/rotkehlchen

98f49cd3ed26c641fec03b78eff9fe1872385fbf

[ "BSD-3-Clause" ]

137

2018-03-05T11:53:29.000Z

2019-11-03T16:38:42.000Z

rotkehlchen/chain/ethereum/modules/kyber/__init__.py

rotkehlchenio/rotkehlchen

98f49cd3ed26c641fec03b78eff9fe1872385fbf

[ "BSD-3-Clause" ]

385

2018-03-08T12:43:41.000Z

2019-11-10T09:15:36.000Z

rotkehlchen/chain/ethereum/modules/kyber/__init__.py

rotkehlchenio/rotkehlchen

98f49cd3ed26c641fec03b78eff9fe1872385fbf

[ "BSD-3-Clause" ]

59

2018-03-08T10:08:27.000Z

2019-10-26T11:30:44.000Z

from .accountant import KyberAccountant # noqa: F401 from .decoder import KyberDecoder # noqa: F401

34

53

0.784314

12

102

6.666667

0.666667

0.2

0

0.069767

0.156863

102

2

54

51

0.860465

0.205882

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8799945f1b26293a1ea599946a4588564d26b901

199

py

Python

SimGeneral/MixingModule/python/stripDigitizer_APVModeDec_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

SimGeneral/MixingModule/python/stripDigitizer_APVModeDec_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

SimGeneral/MixingModule/python/stripDigitizer_APVModeDec_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms # Silicon Strip Digitizer running with APV Mode Deconvolution from SimGeneral.MixingModule.stripDigitizer_cfi import * stripDigitizer.APVpeakmode = False

22.111111

61

0.839196

23

199

7.217391

0.913043

0

0.120603

199

8

62

24.875

0.948571

0.296482

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

87a6655695a8875249cc76f99605f67be5fdbbe3

69

py

Python

compemu/__init__.py

trslater/compemu

a89730b1f82909772951d0c9111c07a136c6805d

[ "MIT" ]

null

compemu/__init__.py

trslater/compemu

a89730b1f82909772951d0c9111c07a136c6805d

[ "MIT" ]

null

compemu/__init__.py

trslater/compemu

a89730b1f82909772951d0c9111c07a136c6805d

[ "MIT" ]

null

""".. include:: ../README.md .. include:: ../docs/design-notes.md"""

23

39

0.565217

8

69

4.875

0.75

0

0.086957

69

2

40

34.5

0.619048

0.898551

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

87b0e459515b0b46ac41824d96e5f7f57f3ce85a

245

py

Python

p2/storage/local/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

p2/storage/local/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

p2/storage/local/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

"""p2 LocalStorage App Config""" from django.apps import AppConfig class P2LocalStorageConfig(AppConfig): """p2 LocalStorage App Config""" name = 'p2.storage.local' label = 'p2_storage_local' verbose_name = 'p2 Local Storage'

22.272727

38

0.710204

29

245

5.896552

0.551724

0.163743

0.19883

0.269006

0

0.029851

0.179592

245

10

39

24.5

0.820896

0.216327

0

0.265193

0

1

0

false

0

0.2

0

1

0

1

0

null

0

1

0

null

0

1

0

4

87c7b1f2ca0c8b602b17b25ffcd5c91632c79f38

167

py

Python

networkx-neo4j/nxneo4j/graph.py

KMS-TEAM/MyKMS

6baacc476ad21945858f77c573fe910b40cf6d12

[ "MIT" ]

97

2018-04-24T07:29:08.000Z

2022-03-13T21:29:40.000Z

networkx-neo4j/nxneo4j/graph.py

KMS-TEAM/MyKMS

6baacc476ad21945858f77c573fe910b40cf6d12

[ "MIT" ]

3

2019-02-12T13:00:54.000Z

2020-04-06T23:34:29.000Z

networkx-neo4j/nxneo4j/graph.py

KMS-TEAM/MyKMS

6baacc476ad21945858f77c573fe910b40cf6d12

[ "MIT" ]

18

2018-10-16T07:28:27.000Z

2021-12-06T11:33:23.000Z

from nxneo4j.base_graph import BaseGraph class Graph(BaseGraph): def __init__(self, driver, config=None): super().__init__(driver, "UNDIRECTED", config)

23.857143

54

0.724551

20

167

5.6

0.75

0

0.007143

0.161677

167

6

55

27.833333

0.792857

0

0.05988

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

87d0f0eb829f4abb6334d275b82336e20da62e06

22,663

py

Python

src/preprocessing/filteringbordersimages.py

AntonioGUJ/AirwaySegmentation_Keras

7da4c88dfde6f0dd2f8f181b2d3fd07dc2d28638

[ "MIT" ]

15

2021-04-09T12:42:35.000Z

2022-03-22T09:01:57.000Z

src/preprocessing/filteringbordersimages.py

id-b3/bronchinet

5acf5243da2a0e38041bbbf2ffd033291eff13a4

[ "MIT" ]

13

2021-03-31T11:16:12.000Z

2022-02-10T06:11:16.000Z

src/preprocessing/filteringbordersimages.py

id-b3/bronchinet

5acf5243da2a0e38041bbbf2ffd033291eff13a4

[ "MIT" ]

9

2021-04-13T13:27:51.000Z

2022-02-25T07:03:25.000Z

from typing import Tuple, List, Union import numpy as np from common.exceptionmanager import catch_error_exception from common.functionutil import ImagesUtil from imageoperators.boundingboxes import BoundingBoxes, BoundBox3DType, BoundBox2DType from preprocessing.imagegenerator import ImageGenerator TYPES_FILTERING_AVAIL = ['linear', 'quadratic', 'cubic', 'exponential', 'fullzero'] class FilteringBordersImages(ImageGenerator): _type_filtering_default = 'quadratic' def __init__(self, size_image: Union[Tuple[int, int, int], Tuple[int, int]], size_output_image: Union[Tuple[int, int, int], Tuple[int, int], List[Tuple[int, int, int]], List[Tuple[int, int]]], type_filtering: str = _type_filtering_default, is_filter_multiple_windows: bool = False ) -> None: self._size_image = size_image self._ndims = len(size_image) self._size_output_image = size_output_image self._type_filtering = type_filtering self._is_filter_multiple_windows = is_filter_multiple_windows if self._ndims == 2: self._func_multiply_matrices_channels = self._multiply_matrices_with_channels_2d elif self._ndims == 3: self._func_multiply_matrices_channels = self._multiply_matrices_with_channels_3d else: message = 'FilteringBorderEffectsImages:__init__: wrong \'ndims\': %s' % (self._ndims) catch_error_exception(message) if self._type_filtering not in TYPES_FILTERING_AVAIL: message = 'wrong input \'type_filtering\': \'%s\'. Options available: %s' \ % (self._type_filtering, TYPES_FILTERING_AVAIL) catch_error_exception(message) if self._is_filter_multiple_windows and type(self._size_output_image) != list: message = 'with \'is_filter_multiple_windows\', input \'size_output_image\' must be a list. Received: %s' \ % (str(self._size_output_image)) catch_error_exception(message) self._compute_factor_filtering() super(FilteringBordersImages, self).__init__(size_image, 1) def update_image_data(self, in_shape_image: Tuple[int, ...]) -> None: self._num_images = in_shape_image[0] def _get_image(self, in_image: np.ndarray) -> np.ndarray: return self._get_filtered_image(in_image) def _get_filtered_image(self, in_image: np.ndarray) -> np.ndarray: if ImagesUtil.is_without_channels(self._size_image, in_image.shape): return np.multiply(in_image, self._factor_filtering) else: return self._func_multiply_matrices_channels(in_image, self._factor_filtering) def _fill_flat_interior_boundbox(self, inner_boundbox: Union[BoundBox3DType, BoundBox2DType], value_fill: float) -> None: raise NotImplementedError def _fill_flat_exterior_boundbox(self, outer_boundbox: Union[BoundBox3DType, BoundBox2DType], value_fill: float) -> None: raise NotImplementedError def _fill_progression_between_two_boundboxes(self, inner_boundbox: Union[BoundBox3DType, BoundBox2DType], outer_boundbox: Union[BoundBox3DType, BoundBox2DType], value_inner: float, value_outer: float) -> None: raise NotImplementedError @classmethod def _compute_progression_increasing(cls, coord_beg: int, coord_end: int, value_beg: float, value_end: float, type_progression: str) -> np.ndarray: if type_progression == 'linear': progression_ref0_1 = cls._calc_linear_progression(coord_beg, coord_end) elif type_progression == 'quadratic': progression_ref0_1 = cls._calc_quadratic_progression(coord_beg, coord_end) elif type_progression == 'cubic': progression_ref0_1 = cls._calc_cubic_progression(coord_beg, coord_end) elif type_progression == 'exponential': progression_ref0_1 = cls._calc_exponential_progression(coord_beg, coord_end) else: # type_progression == 'fullzeros': progression_ref0_1 = np.zeros(coord_end - coord_beg, dtype=np.float32) return progression_ref0_1 * (value_end - value_beg) + value_beg @classmethod def _compute_progression_decreasing(cls, coord_beg: int, coord_end: int, value_beg: float, value_end: float, type_progression: str) -> np.ndarray: return cls._compute_progression_increasing(coord_beg, coord_end, value_end, value_beg, type_progression)[::-1] @staticmethod def _compute_fill_progression(coord_beg: int, coord_end: int, value_fill: float, type_filling: str) -> np.ndarray: if type_filling == 'full': return np.full(coord_end - coord_beg, value_fill, dtype=np.float32) elif type_filling == 'zeros': return np.zeros(coord_end - coord_beg, dtype=np.float32) @staticmethod def _multiply_matrices_with_channels_2d(matrix_1_channels: np.ndarray, matrix_2: np.ndarray) -> np.ndarray: return np.einsum('ijk,ij->ijk', matrix_1_channels, matrix_2) @staticmethod def _multiply_matrices_with_channels_3d(matrix_1_channels: np.ndarray, matrix_2: np.ndarray) -> np.ndarray: return np.einsum('ijkl,ijk->ijkl', matrix_1_channels, matrix_2) @staticmethod def _calc_tensor_product_2d(vector_1: np.ndarray, vector_2: np.ndarray) -> np.ndarray: return np.einsum('i,j->ij', vector_1, vector_2) @staticmethod def _calc_tensor_product_3d(vector_1: np.ndarray, vector_2: np.ndarray, vector_3: np.ndarray) -> np.ndarray: return np.einsum('i,j,k->ijk', vector_1, vector_2, vector_3) @staticmethod def _calc_linear_progression(coord_0: int, coord_1: int) -> np.ndarray: return np.linspace(0, 1, coord_1 - coord_0) @staticmethod def _calc_quadratic_progression(coord_0: int, coord_1: int) -> np.ndarray: return np.power(np.linspace(0, 1, coord_1 - coord_0), 2) @staticmethod def _calc_cubic_progression(coord_0: int, coord_1: int) -> np.ndarray: return np.power(np.linspace(0, 1, coord_1 - coord_0), 3) @staticmethod def _calc_exponential_progression(coord_0: int, coord_1: int) -> np.ndarray: return (np.exp(np.linspace(0, 1, coord_1 - coord_0)) - 1.0) / (np.exp(1) - 1.0) def _compute_factor_filtering(self) -> None: self._factor_filtering = np.zeros(self._size_image, dtype=np.float32) if self._is_filter_multiple_windows: # 'factor_filtering' defined: # - consider several concentrical windows, of increasing sizes, and until the input image border # - i_window == 0: # - inside the window -> '1' # - outside the window, and until next window -> decreasing function (linear, quadratic, ...) # - for i_window == 1, ...: # - inside the window -> factor previous window # - outside the window, and until next window (or input image borders) -> decreasing function num_windows = len(self._size_output_image) sizes_windows = self._size_output_image + [self._size_image] boundbox_output_image = BoundingBoxes.calc_boundbox_centered_image_fitimg(self._size_image, sizes_windows[0]) self._fill_flat_interior_boundbox(boundbox_output_image, 1.0) for iwin in range(num_windows): iwindow_value_inner = 1.0 - iwin / float(num_windows) iwindow_value_outer = 1.0 - (iwin + 1) / float(num_windows) iwindow_boundbox_inner = BoundingBoxes.calc_boundbox_centered_image_fitimg(sizes_windows[iwin], self._size_image) iwindow_boundbox_outer = BoundingBoxes.calc_boundbox_centered_image_fitimg(sizes_windows[iwin + 1], self._size_image) self._fill_progression_between_two_boundboxes(iwindow_boundbox_inner, iwindow_boundbox_outer, iwindow_value_inner, iwindow_value_outer) else: # 'factor_filtering' defined: # - inside the output window -> '1' # - outside the output window and until input image borders -> decreasing function (linear, quadratic, ...) boundbox_output_image = BoundingBoxes.calc_boundbox_centered_image_fitimg(self._size_output_image, self._size_image) boundbox_input_image = BoundingBoxes.get_default_boundbox_image(self._size_image) self._fill_flat_interior_boundbox(boundbox_output_image, 1.0) self._fill_progression_between_two_boundboxes(boundbox_output_image, boundbox_input_image, 1.0, 0.0) class FilteringBordersImages2D(FilteringBordersImages): def __init__(self, size_image: Tuple[int, int], size_output_image: Tuple[int, int], type_filtering: str = FilteringBordersImages._type_filtering_default, is_filter_multiple_windows: bool = False ) -> None: super(FilteringBordersImages2D, self).__init__(size_image, size_output_image, type_filtering=type_filtering, is_filter_multiple_windows=is_filter_multiple_windows) def _fill_flat_interior_boundbox(self, inner_boundbox: BoundBox2DType, value_fill: float) -> None: # set 'value_fill' inside bounding-box ((x_left, x_right), (y_down, y_up)) = inner_boundbox self._factor_filtering[x_left:x_right, y_down:y_up] = value_fill def _fill_flat_exterior_boundbox(self, outer_boundbox: BoundBox2DType, value_fill: float) -> None: # set 'value_fill' outside bounding-box ((x_left, x_right), (y_down, y_up)) = outer_boundbox self._factor_filtering[0:x_left, :] = value_fill self._factor_filtering[x_right:, :] = value_fill self._factor_filtering[:, 0:y_down] = value_fill self._factor_filtering[:, y_up:] = value_fill def _fill_progression_between_two_boundboxes(self, inner_boundbox: BoundBox2DType, outer_boundbox: BoundBox2DType, value_inner: float, value_outer: float) -> None: # set progression between 'value_inner' and 'value_outer', between 'inner' and 'outer' bounding-boxes ((x_left_in, x_right_in), (y_down_in, y_up_in)) = inner_boundbox ((x_left_out, x_right_out), (y_down_out, y_up_out)) = outer_boundbox progression_x_left = self._compute_progression_increasing(x_left_out, x_left_in, value_outer, value_inner, self._type_filtering) progression_x_right = self._compute_progression_decreasing(x_right_in, x_right_out, value_inner, value_outer, self._type_filtering) progression_y_down = self._compute_progression_increasing(y_down_out, y_down_in, value_outer, value_inner, self._type_filtering) progression_y_up = self._compute_progression_decreasing(y_up_in, y_up_out, value_inner, value_outer, self._type_filtering) progression_x_middle = self._compute_fill_progression(x_left_in, x_right_in, value_inner, 'full') progression_y_middle = self._compute_fill_progression(y_down_in, y_up_in, value_inner, 'full') # laterals self._factor_filtering[x_left_out:x_left_in, y_down_in:y_up_in] = \ self._calc_tensor_product_2d(progression_x_left, progression_y_middle) self._factor_filtering[x_right_in:x_right_out, y_down_in:y_up_in] = \ self._calc_tensor_product_2d(progression_x_right, progression_y_middle) self._factor_filtering[x_left_in:x_right_in, y_down_out:y_down_in] = \ self._calc_tensor_product_2d(progression_x_middle, progression_y_down) self._factor_filtering[x_left_in:x_right_in, y_up_in:y_up_out] = \ self._calc_tensor_product_2d(progression_x_middle, progression_y_up) # corners self._factor_filtering[x_left_out:x_left_in, y_down_out:y_down_in] = \ self._calc_tensor_product_2d(progression_x_left, progression_y_down) self._factor_filtering[x_right_in:x_right_out, y_down_out:y_down_in] = \ self._calc_tensor_product_2d(progression_x_right, progression_y_down) self._factor_filtering[x_left_out:x_left_in, y_up_in:y_up_out] = \ self._calc_tensor_product_2d(progression_x_left, progression_y_up) self._factor_filtering[x_right_in:x_right_out, y_up_in:y_up_out] = \ self._calc_tensor_product_2d(progression_x_right, progression_y_up) class FilteringBordersImages3D(FilteringBordersImages): def __init__(self, size_image: Tuple[int, int, int], size_output_image: Tuple[int, int, int], type_filtering: str = FilteringBordersImages._type_filtering_default, is_filter_multiple_windows: bool = False ) -> None: super(FilteringBordersImages3D, self).__init__(size_image, size_output_image, type_filtering=type_filtering, is_filter_multiple_windows=is_filter_multiple_windows) def _fill_flat_interior_boundbox(self, inner_boundbox: BoundBox3DType, value_fill: float) -> None: # set 'value_fill' inside bounding-box ((z_back, z_front), (x_left, x_right), (y_down, y_up)) = inner_boundbox self._factor_filtering[z_back:z_front, x_left:x_right, y_down:y_up] = value_fill def _fill_flat_exterior_boundbox(self, outer_boundbox: BoundBox3DType, value_fill: float) -> None: # set 'value_fill' outside bounding-box ((z_back, z_front), (x_left, x_right), (y_down, y_up)) = outer_boundbox self._factor_filtering[0:z_back, :, :] = value_fill self._factor_filtering[z_front:, :, :] = value_fill self._factor_filtering[:, 0:x_left, :] = value_fill self._factor_filtering[:, x_right:, :] = value_fill self._factor_filtering[:, :, 0:y_down] = value_fill self._factor_filtering[:, :, y_up:] = value_fill def _fill_progression_between_two_boundboxes(self, inner_boundbox: BoundBox3DType, outer_boundbox: BoundBox3DType, value_inner: float, value_outer: float) -> None: # set progression between 'value_inner' and 'value_outer', between 'inner' and 'outer' bounding-boxes ((z_back_in, z_front_in), (x_left_in, x_right_in), (y_down_in, y_up_in)) = inner_boundbox ((z_back_out, z_front_out), (x_left_out, x_right_out), (y_down_out, y_up_out)) = outer_boundbox progression_z_back = self._compute_progression_increasing(z_back_out, z_back_in, value_outer, value_inner, self._type_filtering) progression_z_front = self._compute_progression_decreasing(z_front_in, z_front_out, value_inner, value_outer, self._type_filtering) progression_x_left = self._compute_progression_increasing(x_left_out, x_left_in, value_outer, value_inner, self._type_filtering) progression_x_right = self._compute_progression_decreasing(x_right_in, x_right_out, value_inner, value_outer, self._type_filtering) progression_y_down = self._compute_progression_increasing(y_down_out, y_down_in, value_outer, value_inner, self._type_filtering) progression_y_up = self._compute_progression_decreasing(y_up_in, y_up_out, value_inner, value_outer, self._type_filtering) progression_z_middle = self._compute_fill_progression(z_back_in, z_front_in, value_inner, 'full') progression_x_middle = self._compute_fill_progression(x_left_in, x_right_in, value_inner, 'full') progression_y_middle = self._compute_fill_progression(y_down_in, y_up_in, value_inner, 'full') # laterals self._factor_filtering[z_back_in:z_front_in, x_left_out:x_left_in, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_left, progression_y_middle) self._factor_filtering[z_back_in:z_front_in, x_right_in:x_right_out, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_right, progression_y_middle) self._factor_filtering[z_back_in:z_front_in, x_left_in:x_right_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_middle, progression_y_down) self._factor_filtering[z_back_in:z_front_in, x_left_in:x_right_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_middle, progression_y_up) self._factor_filtering[z_back_out:z_back_in, x_left_in:x_right_in, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_middle, progression_y_middle) self._factor_filtering[z_front_in:z_front_out, x_left_in:x_right_in, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_middle, progression_y_middle) # edges corners self._factor_filtering[z_back_out:z_back_in, x_left_out:x_left_in, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_left, progression_y_middle) self._factor_filtering[z_back_out:z_back_in, x_right_in:x_right_out, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_right, progression_y_middle) self._factor_filtering[z_back_out:z_back_in, x_left_in:x_right_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_middle, progression_y_down) self._factor_filtering[z_back_out:z_back_in, x_left_in:x_right_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_middle, progression_y_up) self._factor_filtering[z_front_in:z_front_out, x_left_out:x_left_in, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_left, progression_y_middle) self._factor_filtering[z_front_in:z_front_out, x_right_in:x_right_out, y_down_in:y_up_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_right, progression_y_middle) self._factor_filtering[z_front_in:z_front_out, x_left_in:x_right_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_middle, progression_y_down) self._factor_filtering[z_front_in:z_front_out, x_left_in:x_right_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_middle, progression_y_up) self._factor_filtering[z_back_in:z_front_in, x_left_out:x_left_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_left, progression_y_down) self._factor_filtering[z_back_in:z_front_in, x_right_in:x_right_out, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_right, progression_y_down) self._factor_filtering[z_back_in:z_front_in, x_left_out:x_left_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_left, progression_y_up) self._factor_filtering[z_back_in:z_front_in, x_right_in:x_right_out, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_middle, progression_x_right, progression_y_up) # corners self._factor_filtering[z_back_out:z_back_in, x_left_out:x_left_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_left, progression_y_down) self._factor_filtering[z_back_out:z_back_in, x_right_in:x_right_out, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_right, progression_y_down) self._factor_filtering[z_back_out:z_back_in, x_left_out:x_left_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_left, progression_y_up) self._factor_filtering[z_back_out:z_back_in, x_right_in:x_right_out, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_back, progression_x_right, progression_y_up) self._factor_filtering[z_front_in:z_front_out, x_left_out:x_left_in, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_left, progression_y_down) self._factor_filtering[z_front_in:z_front_out, x_right_in:x_right_out, y_down_out:y_down_in] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_right, progression_y_down) self._factor_filtering[z_front_in:z_front_out, x_left_out:x_left_in, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_left, progression_y_up) self._factor_filtering[z_front_in:z_front_out, x_right_in:x_right_out, y_up_in:y_up_out] = \ self._calc_tensor_product_3d(progression_z_front, progression_x_right, progression_y_up)

64.566952

119

0.672594

2,945

22,663

4.633277

0.061121

0.024185

0.06823

0.052327

0.791059

0.758959

0.722316

0.708465

0.665225

0.619934

0

0.009396

0.248599

22,663

350

120

64.751429

0.791884

0.045404

0

0.275362

0

0.013096

0.001759

0

1

0.097826

false

0

0.021739

0.036232

0.188406

0

null

0

1

0

1

0

null

0

4

87d36b47e8214b18770c87bac3b8bfb16cebbf45

103

py

Python

server/main.py

kleanlins/wireless-paint

d45e7a50dbe9a093610ae74c236321f6cfad2f24

[ "MIT" ]

null

server/main.py

kleanlins/wireless-paint

d45e7a50dbe9a093610ae74c236321f6cfad2f24

[ "MIT" ]

null

server/main.py

kleanlins/wireless-paint

d45e7a50dbe9a093610ae74c236321f6cfad2f24

[ "MIT" ]

null

from image import image_to_binary from sender import modulate img = image_to_binary("app") print(img)

17.166667

33

0.805825

17

103

4.647059

0.588235

0.177215

0.329114

0

0.126214

103

5

34

20.6

0.877778

0

0.029126

0

1

0

false

0

0.5

0

0.5

0.25

1

0

null

0

1

0

1

0

null

0

1

0

4

87d9c772ccba0633952be2ddce77880a6a4a1ef6

78

py

Python

src/class_resolver/contrib/__init__.py

rusty1s/class-resolver

b97ca43aff802141f390b6ca140f36016d287250

[ "MIT" ]

3

2022-02-10T17:45:24.000Z

2022-02-12T12:24:55.000Z

src/class_resolver/contrib/__init__.py

rusty1s/class-resolver

b97ca43aff802141f390b6ca140f36016d287250

[ "MIT" ]

null

src/class_resolver/contrib/__init__.py

rusty1s/class-resolver

b97ca43aff802141f390b6ca140f36016d287250

[ "MIT" ]

1

2022-02-15T08:14:04.000Z

# -*- coding: utf-8 -*- """Class resolvers that require external imports."""

19.5

52

0.641026

9

78

5.555556

1

0

0.015152

0.153846

78

3

53

26

0.742424

0.884615

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

87dbcfff422a7f0079a6d7b58fa07fc6b60151f0

3,650

py

Python

tests/test_old_input.py

alex-oleshkevich/kupala

2cbf566fb601631afc4fc1ec90384502ef546ce8

[ "MIT" ]

8

2021-05-26T00:17:21.000Z

2022-03-28T13:15:22.000Z

tests/test_old_input.py

alex-oleshkevich/kupala

1c45b537846cec23480396ce7afac05baf83300d

[ "MIT" ]

10

2021-11-06T16:56:43.000Z

2022-03-28T13:15:02.000Z

tests/test_old_input.py

alex-oleshkevich/kupala

2cbf566fb601631afc4fc1ec90384502ef546ce8

[ "MIT" ]

null

from starsessions import SessionMiddleware from kupala.application import Kupala from kupala.requests import Request from kupala.responses import JSONResponse, RedirectResponse from kupala.routing import Route from kupala.testclient import TestClient async def set_view(request: Request) -> RedirectResponse: await request.remember_form_data() return RedirectResponse('/get') def get_view(request: Request) -> JSONResponse: return JSONResponse(request.old_input) def test_old_input() -> None: app = Kupala(routes=[Route('/', set_view, methods=['POST']), Route('/get', get_view)]) app.middleware.use(SessionMiddleware, secret_key='key', autoload=True) client = TestClient(app) with open('/tmp/test1.txt', 'wb') as f: f.write(b'content') with open('/tmp/test1.txt', 'rb') as f: response = client.post( '/', allow_redirects=True, data=[('first_name', 'root'), ('last_name', 'user')], files=[('avatar', f)], ) assert response.status_code == 200 assert response.json() == { 'first_name': 'root', 'last_name': 'user', } # when accessing page for the second time, the session data has to be absent response = client.get('/get') assert response.json() == {} def test_old_input_without_session() -> None: app = Kupala(routes=[Route('/', set_view, methods=['POST']), Route('/get', get_view)]) client = TestClient(app) response = client.post( '/', allow_redirects=True, data=[('first_name', 'root'), ('last_name', 'user')], ) assert response.status_code == 200 assert response.json() == {} # when accessing page for the second time, the session data has to be absent assert response.json() == {} async def set_form_errors_view(request: Request) -> RedirectResponse: request.set_form_errors( { 'first_name': ['This field is required.'], 'last_name': ['This field is required.'], }, ) return RedirectResponse('/get') def get_form_errors_view(request: Request) -> JSONResponse: return JSONResponse(request.form_errors) def test_form_errors() -> None: app = Kupala(routes=[Route('/', set_form_errors_view, methods=['POST']), Route('/get', get_form_errors_view)]) app.middleware.use(SessionMiddleware, secret_key='key', autoload=True) client = TestClient(app) response = client.post( '/', allow_redirects=True, data={ 'first_name': 'root', 'last_name': 'user', }, ) assert response.status_code == 200 assert response.json() == { 'field_errors': { 'first_name': ['This field is required.'], 'last_name': ['This field is required.'], }, } # when accessing page for the second time, the session data has to be absent response = client.get('/get') assert response.json() == {'field_errors': {}} def test_form_errors_without_session() -> None: app = Kupala(routes=[Route('/', set_form_errors_view, methods=['POST']), Route('/get', get_form_errors_view)]) client = TestClient(app) response = client.post( '/', allow_redirects=True, data={ 'first_name': 'root', 'last_name': 'user', }, ) assert response.status_code == 200 assert response.json() == { 'field_errors': {}, } # when accessing page for the second time, the session data has to be absent response = client.get('/get') assert response.json() == {'field_errors': {}}

30.165289

114

0.61726

420

3,650

5.197619

0.2

0.076958

0.065964

0.038937

0.803023

0.721484

0.710032

0.659643

0.626202

0

0.005049

0.240274

3,650

120

115

30.416667

0.782185

0.081918

0

0.588889

0

0.126718

0

0.133333

1

0.066667

false

0

0.066667

0.022222

0.177778

0

null

0

1

0

1

0

null

0

4

87e0fade4b4e28d11518990dc480d70e4a501644

127

py

Python

django-simple-captcha/testproject/forms.py

teeworldsCNFun/upTee

1c04b7421f4834f83bbb9f59f43dfebac08e56b0

[ "BSD-3-Clause" ]

null

django-simple-captcha/testproject/forms.py

teeworldsCNFun/upTee

1c04b7421f4834f83bbb9f59f43dfebac08e56b0

[ "BSD-3-Clause" ]

null

django-simple-captcha/testproject/forms.py

teeworldsCNFun/upTee

1c04b7421f4834f83bbb9f59f43dfebac08e56b0

[ "BSD-3-Clause" ]

null

from django import forms from captcha.fields import CaptchaField class CaptchaForm(forms.Form): captcha = CaptchaField()

21.166667

40

0.787402

15

127

6.666667

0.666667

0

0.149606

127

5

41

25.4

0.925926

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3562d53aabcaadecdf60d125f0df4a15c454cbb7

205

py

Python

graphql/language/tests/test_location.py

ThanksBoomerang/graphql-core-legacy

6e2fbccdec655ce9122b84d3808c14242c4e6b96

[ "MIT" ]

8

2020-03-23T21:34:02.000Z

2021-11-12T11:27:45.000Z

graphql/language/tests/test_location.py

ThanksBoomerang/graphql-core-legacy

6e2fbccdec655ce9122b84d3808c14242c4e6b96

[ "MIT" ]

17

2020-03-14T22:22:29.000Z

2022-03-16T19:26:37.000Z

graphql/language/tests/test_location.py

ThanksBoomerang/graphql-core-legacy

6e2fbccdec655ce9122b84d3808c14242c4e6b96

[ "MIT" ]

17

2020-03-23T12:06:23.000Z

2022-02-13T05:33:32.000Z

from graphql.language.location import SourceLocation def test_repr_source_location(): # type: () -> None loc = SourceLocation(10, 25) assert repr(loc) == "SourceLocation(line=10, column=25)"

25.625

60

0.707317

25

205

5.68

0.72

0.239437

0

0.046784

0.165854

205

7

61

29.285714

0.783626

0.078049

0

0.181818

0.122995

0

0.25

1

0.25

false

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

357205db8038bcfae6a4d48fc64b7045e7826c48

145,964

py

Python

lib/kb_SetUtilities/kb_SetUtilitiesImpl.py

kbaseapps/kb_SetUtilities

1d093bc1c3b896a541b850cd57b606bdea70d066

[ "MIT" ]

null

lib/kb_SetUtilities/kb_SetUtilitiesImpl.py

kbaseapps/kb_SetUtilities

1d093bc1c3b896a541b850cd57b606bdea70d066

[ "MIT" ]

22

2017-09-06T18:51:48.000Z

2021-09-14T18:58:34.000Z

lib/kb_SetUtilities/kb_SetUtilitiesImpl.py

kbaseapps/kb_SetUtilities

1d093bc1c3b896a541b850cd57b606bdea70d066

[ "MIT" ]

3

2017-08-28T18:35:34.000Z

2019-02-19T16:44:17.000Z

# -*- coding: utf-8 -*- #BEGIN_HEADER import os import re import sys from datetime import datetime from pprint import pformat # ,pprint from installed_clients.KBaseReportClient import KBaseReport from installed_clients.SetAPIServiceClient import SetAPI from installed_clients.WorkspaceClient import Workspace as workspaceService #END_HEADER class kb_SetUtilities: ''' Module Name: kb_SetUtilities Module Description: ** A KBase module: kb_SetUtilities ** ** This module contains basic utilities for set manipulation, originally extracted ** from kb_util_dylan ** ''' ######## WARNING FOR GEVENT USERS ####### noqa # Since asynchronous IO can lead to methods - even the same method - # interrupting each other, you must be *very* careful when using global # state. A method could easily clobber the state set by another while # the latter method is running. ######################################### noqa VERSION = "1.7.6" GIT_URL = "https://github.com/kbaseapps/kb_SetUtilities" GIT_COMMIT_HASH = "5d75bb3340d9a3b78f4b81d44f9ec0dc3b2195a9" #BEGIN_CLASS_HEADER workspaceURL = None shockURL = None handleURL = None serviceWizardsURL = None callbackURL = None scratch = None def now_ISO(self): now_timestamp = datetime.now() now_secs_from_epoch = (now_timestamp - datetime(1970,1,1)).total_seconds() now_timestamp_in_iso = datetime.fromtimestamp(int(now_secs_from_epoch)).strftime('%Y-%m-%d_%T') return now_timestamp_in_iso def log(self, target, message): # target is a list for collecting log messages message = '['+self.now_ISO()+'] '+message if target is not None: target.append(message) print(message) sys.stdout.flush() def check_params (self, params, required_params): missing_params = [] for param in required_params: if not params.get(param): missing_params.append(param) if len(missing_params): raise ValueError("Missing required param(s):\n" + "\n".join(missing_params)) def ws_fetch_error(self, obj_desc, obj_ref, error=None): msg = 'Unable to fetch '+obj_desc+' ref:'+ obj_ref + ' from workspace.' if error is not None: msg += ' Error: ' + str(error) raise ValueError(msg) def set_provenance (self, ctx, input_ws_obj_refs=[], service_name=None, method_name=None): if ctx.get('provenance '): provenance = ctx['provenance'] else: provenance = [{}] # add additional info to provenance here, especially the input data object reference(s) if 'input_ws_objects' not in provenance[0]: provenance[0]['input_ws_objects'] = [] if len(input_ws_obj_refs) > 0: provenance[0]['input_ws_objects'].extend(input_ws_obj_refs) if service_name is not None: provenance[0]['service'] = service_name if method_name is not None: provenance[0]['method'] = method_name return provenance def get_obj_name_and_type_from_obj_info (self, obj_info, full_type=False): [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple obj_name = obj_info[NAME_I] obj_type = obj_info[TYPE_I].split('-')[0] if not full_type: obj_type = obj_type.split('.')[1] return (obj_name, obj_type) def get_obj_ref_from_obj_info (self, obj_info): [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple return '/'.join([str(obj_info[WSID_I]), str(obj_info[OBJID_I]), str(obj_info[VERSION_I])]) def get_obj_ref_from_obj_info_noVer (self, obj_info): [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple return '/'.join([str(obj_info[WSID_I]), str(obj_info[OBJID_I])]) def get_obj_data (self, obj_ref, obj_type_desc, full_type=False): obj_data = None obj_info = None obj_name = None obj_type = None try: objects = self.wsClient.get_objects2({'objects': [{'ref': obj_ref}]})['data'][0] except Exception as e: self.ws_fetch_error(obj_type_desc+' object', obj_ref, error=e) obj_data = objects['data'] obj_info = objects['info'] (obj_name, obj_type) = self.get_obj_name_and_type_from_obj_info (obj_info, full_type) return (obj_data, obj_info, obj_name, obj_type) def get_obj_info (self, obj_ref, obj_type_desc, full_type=False): obj_info = None obj_name = None obj_type = None try: obj_info = self.wsClient.get_object_info_new ({'objects':[{'ref':obj_ref}]})[0] except Exception as e: self.ws_fetch_error(obj_type_desc+' object info', obj_ref, error=e) (obj_name, obj_type) = self.get_obj_name_and_type_from_obj_info (obj_info, full_type) return (obj_info, obj_name, obj_type) def get_obj_info_list_from_ws_id (self, ws_id, obj_type, obj_type_desc): obj_info_list = [] try: obj_info_list = self.wsClient.list_objects({'ids':[ws_id],'type':obj_type}) except Exception as e: raise ValueError ("Unable to list "+obj_type_desc+" objects from workspace: "+str(ws_id)+" "+str(e)) return obj_info_list def get_obj_info_list_from_ws_name (self, ws_name, obj_type, obj_type_desc): obj_info_list = [] try: obj_info_list = self.wsClient.list_objects({'workspaces':[ws_name],'type':obj_type}) except Exception as e: raise ValueError ("Unable to list "+obj_type_desc+" objects from workspace: "+str(ws_id)+" "+str(e)) return obj_info_list #END_CLASS_HEADER # config contains contents of config file in a hash or None if it couldn't # be found def __init__(self, config): #BEGIN_CONSTRUCTOR self.token = os.environ['KB_AUTH_TOKEN'] self.workspaceURL = config['workspace-url'] self.shockURL = config['shock-url'] self.serviceWizardURL = config['service-wizard-url'] self.callbackURL = os.environ.get('SDK_CALLBACK_URL') # if self.callbackURL == None: # self.callbackURL = os.environ['SDK_CALLBACK_URL'] if self.callbackURL is None: raise ValueError("SDK_CALLBACK_URL not set in environment") self.scratch = os.path.abspath(config['scratch']) if not os.path.exists(self.scratch): os.makedirs(self.scratch) # set test status for called modules self.SERVICE_VER = 'release' # instantiate clients try: self.wsClient = workspaceService(self.workspaceURL, token=self.token) except Exception as e: raise ValueError('Unable to connect to workspace at ' + self.workspaceURL + str(e)) try: self.reportClient = KBaseReport(self.callbackURL, token=self.token, service_ver=self.SERVICE_VER) except Exception as e: raise ValueError('Unable to instantiate reportClient ' + str(e)) try: self.setAPI_Client = SetAPI(url=self.serviceWizardURL, token=self.token, service_ver=self.SERVICE_VER) except Exception as e: raise ValueError('Unable to instantiate SetAPI' + str(e)) #END_CONSTRUCTOR pass def KButil_Localize_GenomeSet(self, ctx, params): """ :param params: instance of type "KButil_Localize_GenomeSet_Params" (KButil_Localize_GenomeSet() ** ** Method for creating Genome Set with all local Genomes) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_ref" of type "data_obj_ref", parameter "output_name" of type "data_obj_name" :returns: instance of type "KButil_Localize_GenomeSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Localize_GenomeSet raise NotImplementedError #END KButil_Localize_GenomeSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Localize_GenomeSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Localize_FeatureSet(self, ctx, params): """ :param params: instance of type "KButil_Localize_FeatureSet_Params" (KButil_Localize_FeatureSet() ** ** Method for creating Feature Set with all local Genomes) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_ref" of type "data_obj_ref", parameter "output_name" of type "data_obj_name" :returns: instance of type "KButil_Localize_FeatureSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Localize_FeatureSet [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console, 'Running KButil_Localize_FeatureSet with params=') self.log(console, "\n" + pformat(params)) report = '' # param checks required_params = ['workspace_name', 'input_ref' ] self.check_params (params, required_params) # read FeatureSet to get local workspace ID, source object name, and list of original genome refs # self.log (console, "READING LOCAL WORKSPACE ID") src_featureSet_ref = params['input_ref'] (src_featureSet, info, src_featureSet_name, type_name) = self.get_obj_data(src_featureSet_ref, 'featureSet') if type_name != 'FeatureSet': raise ValueError("Bad Type: Should be FeatureSet instead of '" + type_name + "'") # Set local WSID from FeatureSet local_WSID = str(info[WSID_I]) # read workspace to determine which genome objects are already present # genome_obj_type = "KBaseGenomes.Genome" local_genome_refs_by_name = dict() genome_obj_info_list = self.get_obj_info_list_from_ws_id(local_WSID, genome_obj_type, genome_obj_type) for info in genome_obj_info_list: genome_obj_ref = self.get_obj_ref_from_obj_info(info) (genome_obj_name, type_name) = self.get_obj_name_and_type_from_obj_info (info) local_genome_refs_by_name[genome_obj_name] = genome_obj_ref # set order for features list # self.log (console, "GETTING FEATURES ORDERING") src_featureSet = data src_element_ordering = [] if 'element_ordering' in list(src_featureSet.keys()): src_element_ordering = src_featureSet['element_ordering'] else: src_element_ordering = sorted(src_featureSet['elements'].keys()) logMsg = 'features in input set {}: {}'.format(src_featureSet_ref, len(src_element_ordering)) self.log(console, logMsg) report += logMsg # Standardize genome refs to numerical IDs # self.log (console, "STANDARDIZING GENOME REFS") genome_ref_to_standardized = dict() standardized_genome_refs = [] for fId in src_element_ordering: for src_genome_ref in src_featureSet['elements'][fId]: if src_genome_ref in genome_ref_to_standardized: pass else: (src_genome_obj_info, src_genome_obj_name, src_genome_obj_type) = self.get_obj_info(src_genome_ref, 'genome', full_type=True) #acceptable_types = ["KBaseGenomes.Genome", "KBaseGenomeAnnotations.GenomeAnnotation"] acceptable_types = ["KBaseGenomes.Genome"] if src_genome_obj_type not in acceptable_types: raise ValueError("Input Genome of type: '" + src_genome_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) standardized_src_genome_ref = self.get_obj_ref_from_obj_info(src_genome_obj_info) genome_ref_to_standardized[src_genome_ref] = standardized_src_genome_ref standardized_genome_refs.append(standardized_src_genome_ref) # Copy all non-local genomes to local workspace # self.log (console, "COPYING NON-LOCAL GENOMES TO LOCAL WORKSPACE") src2dst_genome_refs = dict() objects_created = [] local_genome_cnt = 0 non_local_genome_cnt = 0 for src_genome_ref in standardized_genome_refs: this_WSID = str(src_genome_ref.split('/')[0]) if this_WSID == local_WSID: src2dst_genome_refs[src_genome_ref] = src_genome_ref else: (src_genome_obj_data, src_genome_obj_info, src_genome_obj_name, type_name) = self.get_obj_data(src_genome_ref, 'genome') if src_genome_obj_name in local_genome_refs_by_name: src2dst_genome_refs[src_genome_ref] = local_genome_refs_by_name[src_genome_obj_name] local_genome_cnt += 1 continue non_local_genome_cnt += 1 # set provenance input_ws_obj_refs = [src_featureSet_ref, src_genome_ref] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Localize_FeatureSet') # Save object src_genome_obj_ref = self.get_obj_ref_from_obj_info(src_genome_obj_info) self.log(console, "SAVING GENOME "+src_genome_obj_ref+" to workspace "+str(params['workspace_name'])+" (ws."+str(local_WSID)+")") dst_genome_obj_data = src_genome_obj_data (dst_genome_obj_name, type_name) = self.get_obj_name_and_type_from_obj_info (src_genome_obj_info) dst_genome_obj_info = self.wsClient.save_objects({ 'workspace': params['workspace_name'], 'objects': [ { 'type': 'KBaseGenomes.Genome', 'data': dst_genome_obj_data, 'name': dst_genome_obj_name, 'meta': {}, 'provenance': provenance } ]})[0] dst_standardized_genome_ref = self.get_obj_ref_from_obj_info(dst_genome_obj_info) src2dst_genome_refs[src_genome_ref] = dst_standardized_genome_ref objects_created.append({'ref': dst_standardized_genome_ref, 'description': 'localized '+dst_genome_obj_name}) # Build Localized FeatureSet with local genome_refs # if non_local_genome_cnt == 0 and local_genome_cnt == 0: self.log (console, "NO NON-LOCAL GENOME REFS FOUND") else: self.log (console, "BUILDING LOCAL FEATURESET") dst_featureSet_data = dict() dst_featureSet_data['desc'] = src_featureSet['desc']+' - localized' dst_featureSet_data['element_ordering'] = src_element_ordering dst_featureSet_data['elements'] = dict() for fId in src_element_ordering: dst_genome_refs = [] for orig_src_genome_ref in src_featureSet[fId]: standardized_src_genome_ref = genome_ref_to_standardized[orig_src_genome_ref] dst_genome_refs.append(src2dst_genome_refs[standardized_src_genome_ref]) dst_featureSet_data['elements'][fId] = dst_genome_refs # Overwrite input FeatureSet object with local genome refs dst_featureSet_name = src_featureSet_name # set provenance input_ws_obj_refs = [src_featureSet_ref] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Localize_FeatureSet') # save output obj dst_featureSet_info = self.wsClient.save_objects({ 'workspace': params['workspace_name'], 'objects': [ { 'type': 'KBaseCollections.FeatureSet', 'data': output_FeatureSet, 'name': dst_featureSet_name, 'meta': {}, 'provenance': provenance } ]})[0] objects_created.append({'ref': params['workspace_name']+'/'+dst_featureSet_name, 'description': 'localized FeatureSet'}) # build output report object self.log(console, "BUILDING REPORT") total_genomes_cnt = len(standardized_genome_refs) if non_local_genome_cnt > 0 or local_genome_cnt > 0: final_msg = [] final_msg.append("Total genomes in FeatureSet: " + str(total_genome_cnt)) final_msg.append("Non-local genomes copied over: " + str(non_local_genome_cnt)) final_msg.append("Local genomes with remote references: " + str(local_genome_cnt)) logMsg = "\n".join(final_msg) self.log(console, logMsg) report += logMsg reportObj = { 'objects_created': objects_created, 'text_message': report } else: report += "NO NON-LOCAL GENOMES FOUND. NO NEW FEATURESET CREATED." reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Localize_FeatureSet DONE") #END KButil_Localize_FeatureSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Localize_FeatureSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Merge_FeatureSet_Collection(self, ctx, params): """ :param params: instance of type "KButil_Merge_FeatureSet_Collection_Params" (KButil_Merge_FeatureSet_Collection() ** ** Method for merging FeatureSets) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Merge_FeatureSet_Collection_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Merge_FeatureSet_Collection console = [] invalid_msgs = [] self.log(console, 'Running KButil_Merge_FeatureSet_Collection with params=') self.log(console, "\n" + pformat(params)) report = '' # param checks required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Merged FeatureSet' # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 2: self.log(console, "Must provide at least two FeatureSets") self.log(invalid_msgs, "Must provide at least two FeatureSets") # Build FeatureSet element_ordering = [] elements = {} featureSet_seen = dict() feature_seen = dict() input_feature_cnt = dict() merged_feature_cnt = 0 for featureSet_ref in params['input_refs']: if featureSet_ref not in list(featureSet_seen.keys()): featureSet_seen[featureSet_ref] = True input_feature_cnt[featureSet_ref] = 0 else: self.log(console, "repeat featureSet_ref: '" + featureSet_ref + "'") self.log(invalid_msgs, "repeat featureSet_ref: '" + featureSet_ref + "'") continue (this_featureSet, info, obj_name, type_name) = self.get_obj_data(featureSet_ref, 'featureSet') if type_name != 'FeatureSet': raise ValueError("Bad Type: Should be FeatureSet instead of '" + type_name + "'") this_element_ordering = [] if 'element_ordering' in list(this_featureSet.keys()): this_element_ordering = this_featureSet['element_ordering'] else: this_element_ordering = sorted(this_featureSet['elements'].keys()) logMsg = 'features in input set {}: {}'.format(featureSet_ref, len(this_element_ordering)) self.log(console, logMsg) for fId in this_element_ordering: if not elements.get(fId): elements[fId] = [] element_ordering.append(fId) for genome_ref in this_featureSet['elements'][fId]: input_feature_cnt[featureSet_ref] += 1 unique_fId = genome_ref+'-'+fId if not feature_seen.get(unique_fId): elements[fId].append(genome_ref) merged_feature_cnt += 1 feature_seen[unique_fId] = True report += 'features in input set ' + featureSet_ref + ': ' + str( input_feature_cnt[featureSet_ref]) + "\n" # set provenance input_ws_obj_refs = params['input_refs'] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Merge_FeatureSet_Collection') # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING FEATURESET") output_FeatureSet = {'description': params['desc'], 'element_ordering': element_ordering, 'elements': elements} new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseCollections.FeatureSet', 'data': output_FeatureSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance}]})[0] # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "features in output set " + params['output_name'] + ": " + str(merged_feature_cnt)) report += 'features in output set ' + params['output_name'] + ': ' report += str(merged_feature_cnt) + "\n" reportObj = { 'objects_created': [{'ref': params['workspace_name'] + '/' + params['output_name'], 'description':'KButil_Merge_FeatureSet_Collection'}], 'text_message': report } else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Merge_FeatureSet_Collection DONE") #END KButil_Merge_FeatureSet_Collection # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Merge_FeatureSet_Collection return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Slice_FeatureSets_by_Genomes(self, ctx, params): """ :param params: instance of type "KButil_Slice_FeatureSets_by_Genomes_Params" (KButil_Slice_FeatureSets_by_Genomes() ** ** Method for Slicing a FeatureSet or FeatureSets by a Genome, Genomes, or GenomeSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_featureSet_refs" of type "data_obj_ref", parameter "input_genome_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Slice_FeatureSets_by_Genomes_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Slice_FeatureSets_by_Genomes console = [] invalid_msgs = [] self.log(console, 'Running Slice_FeatureSets_by_Genomes with params=') self.log(console, "\n" + pformat(params)) [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple logMsg = '' report = '' # check params required_params = ['workspace_name', 'input_featureSet_refs', 'input_genome_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Sliced FeatureSet' # clean input_feature_refs clean_input_refs = [] for ref in params['input_featureSet_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_featureSet_refs'] = clean_input_refs # clean input_genome_refs clean_input_refs = [] for ref in params['input_genome_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_genome_refs'] = clean_input_refs # Standardize genome refs so string comparisons are valid (only do requested genomes) # genome_ref_to_standardized = dict() genome_ref_from_standardized_in_input_flag = dict() for this_genome_ref in params['input_genome_refs']: (genome_obj_info, genome_obj_name, genome_obj_type) = self.get_obj_info(this_genome_ref, 'genome', full_type=True) acceptable_types = ["KBaseGenomes.Genome", "KBaseMetagenomes.AnnotatedMetagenomeAssembly"] if genome_obj_type not in acceptable_types: raise ValueError("Input Genome of type: '" + genome_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) this_standardized_genome_ref = self.get_obj_ref_from_obj_info(genome_obj_info) genome_ref_to_standardized[this_genome_ref] = this_standardized_genome_ref genome_ref_from_standardized_in_input_flag[this_standardized_genome_ref] = True # Build FeatureSets # featureSet_seen = dict() featureSet_genome_ref_to_standardized = dict() # have to map genome refs in featureSets also because might be mixed WS_ID-WS_NAME/OBJID-OBJNAME and not exactly correspond with input genome refs feature_list_lens = [] objects_created = [] for featureSet_ref in params['input_featureSet_refs']: if featureSet_ref not in list(featureSet_seen.keys()): featureSet_seen[featureSet_ref] = 1 else: self.log(console, "repeat featureSet_ref: '" + featureSet_ref + "'") self.log(invalid_msgs, "repeat featureSet_ref: '" + featureSet_ref + "'") continue (this_featureSet, info, this_featureSet_obj_name, type_name) = self.get_obj_data(featureSet_ref, 'featureSet') if type_name != 'FeatureSet': raise ValueError("Bad Type: Should be FeatureSet instead of '" + type_name + "'") this_element_ordering = [] if 'element_ordering' in list(this_featureSet.keys()): this_element_ordering = this_featureSet['element_ordering'] else: this_element_ordering = sorted(this_featureSet['elements'].keys()) logMsg = 'features in input set {}: {}'.format(featureSet_ref, len(this_element_ordering)) self.log(console, logMsg) # Build sliced FeatureSet # self.log (console, "BUILDING SLICED FEATURESET\n") self.log (console, "Slicing out genomes "+("\n".join(params['input_genome_refs']))) element_ordering = [] elements = {} for fId in this_element_ordering: feature_hit = False genomes_retained = [] for this_genome_ref in this_featureSet['elements'][fId]: genome_hit = False if this_genome_ref in genome_ref_to_standardized: # The KEY line genome_hit = True standardized_genome_ref = genome_ref_to_standardized[this_genome_ref] elif this_genome_ref in featureSet_genome_ref_to_standardized: standardized_genome_ref = featureSet_genome_ref_to_standardized[this_genome_ref] if standardized_genome_ref in genome_ref_from_standardized_in_input_flag: genome_hit = True else: # get standardized genome_ref (genome_obj_info, genome_obj_name, genome_obj_type) = self.get_obj_info(this_genome_ref, 'genome', full_type=True) acceptable_types = ["KBaseGenomes.Genome", "KBaseMetagenomes.AnnotatedMetagenomeAssembly"] if genome_obj_type not in acceptable_types: raise ValueError("Input Genome of type: '" + genome_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) standardized_genome_ref = self.get_obj_ref_from_obj_info(genome_obj_info) featureSet_genome_ref_to_standardized[this_genome_ref] = standardized_genome_ref if standardized_genome_ref in genome_ref_from_standardized_in_input_flag: genome_hit = True if genome_hit: feature_hit = True genomes_retained.append(standardized_genome_ref) if feature_hit: element_ordering.append(fId) elements[fId] = genomes_retained logMsg = 'features in sliced output set: {}'.format(len(element_ordering)) self.log(console, logMsg) # Save output FeatureSet # if len(element_ordering) == 0: report += 'no features for requested genomes in FeatureSet '+str(featureSet_ref) feature_list_lens.append(0) else: # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = [featureSet_ref] input_ws_obj_refs.extend(params['input_genome_refs']) provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Slice_FeatureSets_by_Genome') # Store output object if len(invalid_msgs) == 0: self.log(console, "SAVING FEATURESET") output_FeatureSet = {'description': params['desc'], 'element_ordering': element_ordering, 'elements': elements} output_name = params['output_name'] if len(params['input_featureSet_refs']) > 1: output_name += '-' + this_featureSet_obj_name new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseCollections.FeatureSet', 'data': output_FeatureSet, 'name': output_name, 'meta': {}, 'provenance': provenance}]})[0] feature_list_lens.append(len(element_ordering)) objects_created.append({'ref': params['workspace_name'] + '/' + output_name, 'description': params['desc']}) # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: obj_i = -1 for output_i,list_len in enumerate(feature_list_lens): if feature_list_lens[output_i] == 0: report += 'No features for requested genomes in featureSet '+str(params['input_featureSet_refs'][output_i])+"\n" else: obj_i += 1 report += 'features in output set ' + objects_created[obj_i]['ref'] + ': ' report += str(feature_list_lens[output_i]) + "\n" reportObj = { 'objects_created': objects_created, 'text_message': report } else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Slice_FeatureSets_by_Genomes DONE") #END KButil_Slice_FeatureSets_by_Genomes # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Slice_FeatureSets_by_Genomes return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Logical_Slice_Two_FeatureSets(self, ctx, params): """ :param params: instance of type "KButil_Logical_Slice_Two_FeatureSets_Params" (KButil_Logical_Slice_Two_FeatureSets() ** ** Method for Slicing Two FeatureSets by Venn overlap) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_featureSet_ref_A" of type "data_obj_ref", parameter "input_featureSet_ref_B" of type "data_obj_ref", parameter "operator" of String, parameter "desc" of String, parameter "output_name" of type "data_obj_name" :returns: instance of type "KButil_Logical_Slice_Two_FeatureSets_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Logical_Slice_Two_FeatureSets console = [] invalid_msgs = [] self.log(console, 'Running Logical_Slice_Two_FeatureSets with params=') self.log(console, "\n" + pformat(params)) [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple logMsg = '' report = '' genome_id_feature_id_delim = ".f:" # check params required_params = ['workspace_name', 'operator', 'input_featureSet_ref_A', 'input_featureSet_ref_B', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Sliced FeatureSet' # Get FeatureSets # FeatureSet = dict() FeatureSet['A'] = dict() FeatureSet['B'] = dict() input_featureSet_refs = dict() input_featureSet_refs['A'] = params['input_featureSet_ref_A'] input_featureSet_refs['B'] = params['input_featureSet_ref_B'] input_featureSet_names = dict() for set_id in ['A','B']: (this_featureSet, info, this_featureSet_obj_name, type_name) = self.get_obj_data(input_featureSet_refs[set_id], 'featureSet') if type_name != 'FeatureSet': raise ValueError("Bad Type: Should be FeatureSet instead of '" + type_name + "'") input_featureSet_names[set_id] = this_featureSet_obj_name FeatureSet[set_id] = this_featureSet if 'element_ordering' not in list(this_featureSet.keys()): FeatureSet[set_id]['element_ordering'] = sorted(this_featureSet['elements'].keys()) logMsg = 'features in input set {} - {}: {}'.format(set_id, this_featureSet_obj_name, len(FeatureSet[set_id]['element_ordering'])) self.log(console, logMsg) report += logMsg+"\n" # Store A and B genome + fid hits # genome_feature_present = dict() genome_feature_present['A'] = dict() genome_feature_present['B'] = dict() featureSet_genome_ref_to_standardized = dict() # must use standardized genome_refs for set_id in ['A','B']: for fId in FeatureSet[set_id]['element_ordering']: feature_standardized_genome_refs = [] for this_genome_ref in FeatureSet[set_id]['elements'][fId]: if this_genome_ref in featureSet_genome_ref_to_standardized: standardized_genome_ref_noVer = featureSet_genome_ref_to_standardized[this_genome_ref] else: # get standardized genome_ref (genome_obj_info, genome_obj_name, genome_obj_type) = self.get_obj_info(this_genome_ref, 'genome', full_type=True) acceptable_types = ["KBaseGenomes.Genome", "KBaseGenomeAnnotations.GenomeAnnotation","KBaseMetagenomes.AnnotatedMetagenomeAssembly"] if genome_obj_type not in acceptable_types: raise ValueError("Input Genome of type: '" + genome_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) standardized_genome_ref_noVer = '{}/{}'.format(genome_obj_info[WSID_I], genome_obj_info[OBJID_I]) featureSet_genome_ref_to_standardized[this_genome_ref] = standardized_genome_ref_noVer feature_standardized_genome_refs.append(standardized_genome_ref_noVer) # standardize list combo_id = standardized_genome_ref_noVer + genome_id_feature_id_delim + fId genome_feature_present[set_id][combo_id] = True self.log(console,"Set {} contains {}".format(set_id,combo_id)) FeatureSet[set_id]['elements'][fId] = feature_standardized_genome_refs # Build sliced FeatureSet # self.log (console, "BUILDING SLICED FEATURESET\n") output_element_ordering = [] output_elements = dict() if params['operator'] == 'yesA_yesB' or params['operator'] == 'yesA_noB': input_element_ordering = FeatureSet['A']['element_ordering'] fwd_set_id = 'A' rev_set_id = 'B' else: input_element_ordering = FeatureSet['B']['element_ordering'] fwd_set_id = 'B' rev_set_id = 'A' for fId in input_element_ordering: feature_hit = False genomes_retained = [] for this_genome_ref_noVer in FeatureSet[fwd_set_id]['elements'][fId]: combo_id = this_genome_ref_noVer + genome_id_feature_id_delim + fId self.log (console, "\t"+'checking set {} genome+fid: {}'.format(fwd_set_id,combo_id)) if params['operator'] == 'yesA_yesB': if genome_feature_present[rev_set_id].get(combo_id): feature_hit = True genomes_retained.append(this_genome_ref_noVer) self.log(console, "keeping feature {}".format(combo_id)) else: if not genome_feature_present[rev_set_id].get(combo_id): feature_hit = True genomes_retained.append(this_genome_ref_noVer) self.log(console, "keeping feature {}".format(combo_id)) if feature_hit: output_element_ordering.append(fId) output_elements[fId] = genomes_retained logMsg = 'features in sliced output set: {}'.format(len(output_element_ordering)) self.log(console, logMsg) # Save output FeatureSet # objects_created = [] # set provenance input_ws_obj_refs = [input_featureSet_refs['A'], input_featureSet_refs['B']] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Logical_Slice_Two_FeatureSets') if len(output_element_ordering) == 0: report += 'no features to output under operator '+params['operator']+"\n" else: # Store output object if len(invalid_msgs) == 0: self.log(console, "SAVING FEATURESET") output_FeatureSet = {'description': params['desc'], 'element_ordering': output_element_ordering, 'elements': output_elements} output_name = params['output_name'] new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseCollections.FeatureSet', 'data': output_FeatureSet, 'name': output_name, 'meta': {}, 'provenance': provenance}]})[0] objects_created.append({'ref': params['workspace_name'] + '/' + output_name, 'description': params['desc']}) # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "features in output set " + params['output_name'] + ": " + str(len(output_element_ordering))) report += 'features in output set ' + params['output_name'] + ': ' report += str(len(output_element_ordering)) + "\n" reportObj = { 'objects_created': objects_created, 'text_message': report } else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Logical_Slice_Two_FeatureSets DONE") #END KButil_Logical_Slice_Two_FeatureSets # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Logical_Slice_Two_FeatureSets return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Logical_Slice_Two_AssemblySets(self, ctx, params): """ :param params: instance of type "KButil_Logical_Slice_Two_AssemblySets_Params" (KButil_Logical_Slice_Two_AssemblySets() ** ** Method for Slicing Two AssemblySets by Venn overlap) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_assemblySet_ref_A" of type "data_obj_ref", parameter "input_assemblySet_ref_B" of type "data_obj_ref", parameter "operator" of String, parameter "desc" of String, parameter "output_name" of type "data_obj_name" :returns: instance of type "KButil_Logical_Slice_Two_AssemblySets_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Logical_Slice_Two_AssemblySets console = [] invalid_msgs = [] self.log(console, 'Running Logical_Slice_Two_AssemblySets with params=') self.log(console, "\n" + pformat(params)) [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple logMsg = '' report = '' # check params required_params = ['workspace_name', 'operator', 'input_assemblySet_ref_A', 'input_assemblySet_ref_B', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Sliced AssemblySet' # Get AssemblySets # AssemblySet = dict() AssemblySet['A'] = dict() AssemblySet['B'] = dict() input_assemblySet_refs = dict() input_assemblySet_refs['A'] = params['input_assemblySet_ref_A'] input_assemblySet_refs['B'] = params['input_assemblySet_ref_B'] input_assemblySet_names = dict() for set_id in ['A','B']: (this_assemblySet, info, this_assemblySet_obj_name, type_name) = self.get_obj_data(input_assemblySet_refs[set_id], 'assemblySet') if type_name != 'AssemblySet': raise ValueError("Bad Type: Should be AssemblySet instead of '" + type_name + "'") input_assemblySet_names[set_id] = this_assemblySet_obj_name AssemblySet[set_id] = this_assemblySet logMsg = 'assemblies in input set {} - {}: {}'.format(set_id, this_assemblySet_obj_name, len(AssemblySet[set_id]['items'])) self.log(console, logMsg) report += logMsg+"\n" # Store A and B assemblies # assembly_obj_present = dict() assembly_obj_present['A'] = dict() assembly_obj_present['B'] = dict() assembly_ref_to_standardized = dict() # must use standardized assembly_refs for set_id in ['A','B']: new_items = [] for item in AssemblySet[set_id]['items']: standardized_assembly_refs = [] this_assembly_ref = item['ref'] if this_assembly_ref in assembly_ref_to_standardized: standardized_assembly_ref_noVer = assembly_ref_to_standardized[this_assembly_ref] else: # get standardized assembly_ref (assembly_obj_info, assembly_obj_name, assembly_obj_type) = self.get_obj_info(this_assembly_ref, 'assembly', full_type=True) acceptable_types = ["KBaseGenomeAnnotations.Assembly"] if assembly_obj_type not in acceptable_types: raise ValueError("Input Assembly of type: '" + assembly_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) standardized_assembly_ref_noVer = '{}/{}'.format(assembly_obj_info[WSID_I], assembly_obj_info[OBJID_I]) assembly_ref_to_standardized[this_assembly_ref] = standardized_assembly_ref_noVer standardized_assembly_refs.append(standardized_assembly_ref_noVer) # standardize list assembly_obj_present[set_id][standardized_assembly_ref_noVer] = True new_items.append({'ref':standardized_assembly_ref_noVer,'label':item['label']}) self.log(console,"Set {} contains {}".format(set_id,standardized_assembly_ref_noVer)) AssemblySet[set_id]['items'] = new_items # Build sliced AssemblySet # self.log (console, "BUILDING SLICED ASSEMBLYSET") output_items = [] if params['operator'] == 'yesA_yesB' or params['operator'] == 'yesA_noB': input_items = AssemblySet['A']['items'] fwd_set_id = 'A' rev_set_id = 'B' else: input_items = AssemblySet['B']['items'] fwd_set_id = 'B' rev_set_id = 'A' for item in input_items: self.log (console, 'checking assembly {} from set {}'.format(item['ref'],fwd_set_id)) this_standardized_assembly_ref_noVer = item['ref'] if params['operator'] == 'yesA_yesB': if assembly_obj_present[rev_set_id].get(this_standardized_assembly_ref_noVer): self.log(console, "keeping assembly {}".format(item['ref'])) output_items.append(item) else: if not assembly_obj_present[rev_set_id].get(this_standardized_assembly_ref_noVer): self.log(console, "keeping assembly {}".format(item['ref'])) output_items.append(item) logMsg = 'assemblies in sliced output set: {}'.format(len(output_items)) self.log(console, logMsg) # Save output AssemblySet # objects_created = [] if len(output_items) == 0: report += 'no assemblies to output under operator '+params['operator']+"\n" else: if params.get('desc'): output_desc = params['desc'] else: output_desc = 'Venn slice '+params['operator']+' of AssemblySets '+input_assemblySet_names['A']+' and '+input_assemblySet_names['B'] output_assemblySet_obj = { 'description': output_desc, 'items': output_items } output_assemblySet_name = params['output_name'] try: output_assemblySet_ref = self.setAPI_Client.save_assembly_set_v1 ({'workspace_name': params['workspace_name'], 'output_object_name': output_assemblySet_name, 'data': output_assemblySet_obj })['set_ref'] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save assembly set object to workspace: (' + params['workspace_name']+")\n" + str(e)) # build output report object self.log(console, "BUILDING REPORT") if len(output_items) > 0: self.log(console, "assemblies in output set " + params['output_name'] + ": " + str(len(output_items))) report += 'assemblies in output set ' + params['output_name'] + ': ' report += str(len(output_items)) + "\n" reportObj = { 'objects_created': objects_created, 'text_message': report } else: reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Logical_Slice_Two_AssemblySets DONE") #END KButil_Logical_Slice_Two_AssemblySets # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Logical_Slice_Two_AssemblySets return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Logical_Slice_Two_GenomeSets(self, ctx, params): """ :param params: instance of type "KButil_Logical_Slice_Two_GenomeSets_Params" (KButil_Logical_Slice_Two_GenomeSets() ** ** Method for Slicing Two AssemblySets by Venn overlap) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_genomeSet_ref_A" of type "data_obj_ref", parameter "input_genomeSet_ref_B" of type "data_obj_ref", parameter "operator" of String, parameter "desc" of String, parameter "output_name" of type "data_obj_name" :returns: instance of type "KButil_Logical_Slice_Two_GenomeSets_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Logical_Slice_Two_GenomeSets console = [] invalid_msgs = [] self.log(console, 'Running Logical_Slice_Two_GenomeSets with params=') self.log(console, "\n" + pformat(params)) [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple logMsg = '' report = '' # check params required_params = ['workspace_name', 'operator', 'input_genomeSet_ref_A', 'input_genomeSet_ref_B', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Sliced GenomeSet' # Get GenomeSets # GenomeSet_element_refs = dict() input_genomeSet_refs = dict() input_genomeSet_refs['A'] = params['input_genomeSet_ref_A'] input_genomeSet_refs['B'] = params['input_genomeSet_ref_B'] input_genomeSet_names = dict() for set_id in ['A','B']: (this_genomeSet, info, this_genomeSet_obj_name, type_name) = self.get_obj_data(input_genomeSet_refs[set_id], 'genomeSet') input_genomeSet_names[set_id] = this_genomeSet_obj_name; if type_name != 'GenomeSet': raise ValueError("Bad Type: Should be GenomeSet instead of '" + type_name + "'") GenomeSet_element_refs[set_id] = [] for genome_id in sorted(this_genomeSet['elements'].keys()): GenomeSet_element_refs[set_id].append(this_genomeSet['elements'][genome_id]['ref']) logMsg = 'genomes in input set {} - {}: {}'.format(set_id, this_genomeSet_obj_name, len(GenomeSet_element_refs[set_id])) self.log(console, logMsg) report += logMsg+"\n" # Store A and B genome + fid hits # genome_obj_present = dict() genome_obj_present['A'] = dict() genome_obj_present['B'] = dict() genome_ref_to_standardized = dict() # must use standardized genome_refs for set_id in ['A','B']: new_element_refs = [] for this_genome_ref in GenomeSet_element_refs[set_id]: standardized_genome_refs = [] if this_genome_ref in genome_ref_to_standardized: standardized_genome_ref_noVer = genome_ref_to_standardized[this_genome_ref] else: # get standardized genome_ref (genome_obj_info, genome_obj_name, genome_obj_type) = self.get_obj_info(this_genome_ref, 'genome', full_type=True) acceptable_types = ["KBaseGenomes.Genome","KBaseGenomeAnnotations.GenomeAnnotation"] if genome_obj_type not in acceptable_types: raise ValueError("Input Genome of type: '" + genome_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) standardized_genome_ref_noVer = '{}/{}'.format(genome_obj_info[WSID_I], genome_obj_info[OBJID_I]) genome_ref_to_standardized[this_genome_ref] = standardized_genome_ref_noVer standardized_genome_refs.append(standardized_genome_ref_noVer) # standardize list genome_obj_present[set_id][standardized_genome_ref_noVer] = True new_element_refs.append(standardized_genome_ref_noVer) self.log(console,"Set {} contains {}".format(set_id,standardized_genome_ref_noVer)) GenomeSet_element_refs[set_id] = new_element_refs # Build sliced GenomeSet # self.log (console, "BUILDING SLICED GENOMESET") output_items = [] if params['operator'] == 'yesA_yesB' or params['operator'] == 'yesA_noB': input_element_refs = GenomeSet_element_refs['A'] fwd_set_id = 'A' rev_set_id = 'B' else: input_element_refs = GenomeSet_element_refs['B'] fwd_set_id = 'B' rev_set_id = 'A' for this_standardized_genome_ref_noVer in input_element_refs: self.log (console, 'checking set {} genome {}'.format(set_id,this_standardized_genome_ref_noVer)) if params['operator'] == 'yesA_yesB': if genome_obj_present[rev_set_id].get(this_standardized_genome_ref_noVer): output_items.append(this_standardized_genome_ref_noVer) self.log(console, "keeping genome {}".format(this_standardized_genome_ref_noVer)) else: if not genome_obj_present[rev_set_id].get(this_standardized_genome_ref_noVer): output_items.append(this_standardized_genome_ref_noVer) self.log(console, "keeping genome {}".format(this_standardized_genome_ref_noVer)) logMsg = 'genomes in sliced output set: {}'.format(len(output_items)) self.log(console, logMsg) # Save output GenomeSet # objects_created = [] # set provenance input_ws_obj_refs = [input_genomeSet_refs['A'], input_genomeSet_refs['B']] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Logical_Slice_Two_GenomeSets') if len(output_items) == 0: report += 'no genomes to output under operator '+params['operator']+"\n" else: # KBaseSearch.GenomeSet form is a dict of elements, not a list of items output_elements = dict(); for genome_ref in sorted(output_items): output_elements[genome_ref] = {'ref':genome_ref} if params.get('desc'): output_desc = params['desc'] else: output_desc = 'Venn slice '+params['operator']+' of GenomeSets '+input_genomeSet_names['A']+' and '+input_genomeSet_names['B'] output_genomeSet_obj = { 'description': output_desc, 'elements': output_elements } output_genomeSet_name = params['output_name'] new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseSearch.GenomeSet', 'data': output_genomeSet_obj, 'name': output_genomeSet_name, 'meta': {}, 'provenance': provenance}]})[0] objects_created.append({'ref': params['workspace_name'] + '/' + output_genomeSet_name, 'description': output_desc}) # build output report object self.log(console, "BUILDING REPORT") if len(output_items) > 0: self.log(console, "assemblies in output set " + params['output_name'] + ": " + str(len(output_items))) report += 'genomes in output set ' + params['output_name'] + ': ' report += str(len(output_items)) + "\n" reportObj = { 'objects_created': objects_created, 'text_message': report } else: reportObj = { 'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Logical_Slice_Two_GenomeSets DONE") #END KButil_Logical_Slice_Two_GenomeSets # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Logical_Slice_Two_GenomeSets return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Merge_GenomeSets(self, ctx, params): """ :param params: instance of type "KButil_Merge_GenomeSets_Params" (KButil_Merge_GenomeSets() ** ** Method for merging GenomeSets) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Merge_GenomeSets_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Merge_GenomeSets [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console, 'Running KButil_Merge_GenomeSets with params=') self.log(console, "\n" + pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Merged GenomeSet' # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 2: self.log(console, "Must provide at least two GenomeSets") self.log(invalid_msgs, "Must provide at least two GenomeSets") # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = params['input_refs'] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Merge_GenomeSets') # Build GenomeSet # elements = dict() # Add Genomes from GenomeSets for input_genomeset_ref in params['input_refs']: (genomeSet, info, this_genomeSet_obj_name, type_name) = self.get_obj_data(input_genomeset_ref, 'genomeSet') if type_name != 'GenomeSet': raise ValueError("Bad Type: Should be GenomeSet instead of '" + type_name + "'") for gId in list(genomeSet['elements'].keys()): old_genomeRef = genomeSet['elements'][gId]['ref'] (this_obj_info, this_obj_name, this_obj_type) = self.get_obj_info(old_genomeRef, 'genome') standardized_genomeRef = self.get_obj_ref_from_obj_info_noVer(this_obj_info) new_gId = standardized_genomeRef if not elements.get(new_gId): elements[new_gId] = dict() elements[new_gId]['ref'] = standardized_genomeRef # the key line self.log(console, "adding element " + new_gId + " : " + standardized_genomeRef) # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING GENOMESET") output_GenomeSet = {'description': params['desc'], 'elements': elements } new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{'type': 'KBaseSearch.GenomeSet', 'data': output_GenomeSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance }] })[0] # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "genomes in output set " + params['output_name'] + ": " + str(len(list(elements.keys())))) report += 'genomes in output set ' + params['output_name'] + ': ' report += str(len(list(elements.keys()))) + "\n" ref = params['workspace_name'] + '/' + params['output_name'] reportObj = {'objects_created': [{'ref': ref, 'description': 'KButil_Merge_GenomeSets'}], 'text_message': report } else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = {'objects_created': [], 'text_message': report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Merge_GenomeSets DONE") #END KButil_Merge_GenomeSets # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Merge_GenomeSets return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Build_GenomeSet(self, ctx, params): """ :param params: instance of type "KButil_Build_GenomeSet_Params" (KButil_Build_GenomeSet() ** ** Method for creating a GenomeSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Build_GenomeSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Build_GenomeSet console = [] invalid_msgs = [] self.log(console, 'Running KButil_Build_GenomeSet with params=') self.log(console, "\n" + pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Built GenomeSet' # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 1: self.log(console, "Must provide at least one Genome") self.log(invalid_msgs, "Must provide at least one Genome") # Build GenomeSet # elements = {} genome_seen = dict() for genomeRef in params['input_refs']: if not genome_seen.get(genomeRef): genome_seen[genomeRef] = True (genomeObj, info, obj_name, type_name) = self.get_obj_data(genomeRef, 'genome') if type_name != 'Genome' and type_name != 'GenomeAnnotation': errMsg = "Bad Type: Should be Genome or GenomeAnnotation not '{}' for ref: '{}'" raise ValueError(errMsg.format(type_name, genomeRef)) if type_name == 'Genome': genome_id = genomeObj['id'] else: genome_id = genomeObj['genome_annotation_id'] genome_sci_name = genomeObj['scientific_name'] if genomeRef not in list(elements.keys()): elements[genomeRef] = dict() elements[genomeRef]['ref'] = genomeRef # the key line self.log(console, "adding element {} ({}) aka ({}): {}".format(obj_name, genome_sci_name, genome_id, genomeRef)) # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = params['input_refs'] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Build_GenomeSet') # Store output object if len(invalid_msgs) == 0: self.log(console, "SAVING GENOMESET") output_GenomeSet = {'description': params['desc'], 'elements': elements} new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{'type': 'KBaseSearch.GenomeSet', 'data': output_GenomeSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance}]})[0] # build output report object # self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "genomes in output set " + params['output_name'] + ": " + str(len(list(elements.keys())))) report += 'genomes in output set ' + params['output_name'] + ': ' report += str(len(list(elements.keys()))) + "\n" reportObj = { 'objects_created': [{'ref': params['workspace_name'] + '/' + params['output_name'], 'description':'KButil_Build_GenomeSet'}], 'text_message': report } else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = {'objects_created': [], 'text_message': report} # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Build_GenomeSet DONE") #END KButil_Build_GenomeSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Build_GenomeSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Build_GenomeSet_from_FeatureSet(self, ctx, params): """ :param params: instance of type "KButil_Build_GenomeSet_from_FeatureSet_Params" (KButil_Build_GenomeSet_from_FeatureSet() ** ** Method for obtaining a GenomeSet from a FeatureSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_ref" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Build_GenomeSet_from_FeatureSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Build_GenomeSet_from_FeatureSet console = [] invalid_msgs = [] self.log(console, 'Running KButil_Build_GenomeSet_from_FeatureSet with params=') self.log(console, "\n" + pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_ref', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Built GenomeSet' # Obtain FeatureSet (featureSet, info, obj_name, type_name) = self.get_obj_data(params['input_ref'], 'featureSet') if type_name != 'FeatureSet': raise ValueError("Bad Type: Should be FeatureSet instead of '" + type_name + "'") # Build GenomeSet elements = {} genome_seen = dict() for fId in list(featureSet['elements'].keys()): for genomeRef in featureSet['elements'][fId]: if not genome_seen.get(genomeRef): genome_seen[genomeRef] = True (genomeObj, info, obj_name, type_name) = self.get_obj_data(genomeRef, 'genome') if type_name == 'AnnotatedMetagenomeAssembly': self.log(console, "SKIPPING AnnotatedMetagenomeAssembly Object "+obj_name) continue elif type_name != 'Genome' and type_name != 'GenomeAnnotaton': errMsg = "Bad Type: Should be Genome or GenomeAnnotation instead" errMsg += " of '{}' for ref: '{}'" raise ValueError(errMsg.format(type_name, genomeRef)) if type_name == 'Genome': genome_id = genomeObj['id'] else: genome_id = genomeObj['genome_annotation_id'] genome_sci_name = genomeObj['scientific_name'] #if not genome_id in elements.keys(): # elements[genome_id] = dict() #elements[genome_id]['ref'] = genomeRef # the key line if genomeRef not in list(elements.keys()): elements[genomeRef] = dict() elements[genomeRef]['ref'] = genomeRef # the key line self.log(console, "adding element {} ({}/{}) : {}".format(obj_name, genome_sci_name, genome_id, genomeRef)) # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = [params['input_ref']] provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Build_GenomeSet_from_FeatureSet') # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING GENOMESET") output_GenomeSet = {'description': params['desc'], 'elements': elements} new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{'type': 'KBaseSearch.GenomeSet', 'data': output_GenomeSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance}]})[0] # build output report object # self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "genomes in output set " + params['output_name'] + ": " + str(len(list(elements.keys())))) report += 'genomes in output set {}:{}\n'.format(params['output_name'], len(list(elements.keys()))) ref = "{}/{}".format(params['workspace_name'], params['output_name']) reportObj = {'objects_created': [{'ref': ref, 'description': 'KButil_Build_GenomeSet_from_FeatureSet'}], 'text_message': report} else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = {'objects_created': [], 'text_message': report} # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Build_GenomeSet_from_FeatureSet DONE") #END KButil_Build_GenomeSet_from_FeatureSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Build_GenomeSet_from_FeatureSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Add_Genomes_to_GenomeSet(self, ctx, params): """ :param params: instance of type "KButil_Add_Genomes_to_GenomeSet_Params" (KButil_Add_Genomes_to_GenomeSet() ** ** Method for adding a Genome to a GenomeSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_genome_refs" of list of type "data_obj_ref", parameter "input_genomeset_ref" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Add_Genomes_to_GenomeSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Add_Genomes_to_GenomeSet # init [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console, 'Running KButil_Add_Genomes_to_GenomeSet with params=') self.log(console, "\n" + pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_genome_refs', 'input_genomeset_ref', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Increased GenomeSet' # Build GenomeSet elements = dict() query_genome_ref_order = [] # add old GenomeSet # if 'input_genomeset_ref' in params and params['input_genomeset_ref'] is not None: (genomeSet, info, obj_name, type_name) = self.get_obj_data(params['input_genomeset_ref'], 'genomeSet') if type_name != 'GenomeSet': raise ValueError("Bad Type: Should be GenomeSet instead of '" + type_name + "'") for gId in list(genomeSet['elements'].keys()): genomeRef = genomeSet['elements'][gId]['ref'] if not elements.get(genomeRef): elements[genomeRef] = dict() elements[genomeRef]['ref'] = genomeRef # the key line self.log(console, "adding element " + gId + " : " + genomeRef) query_genome_ref_order.append(genomeRef) # add new genomes # genomeSet_obj_types = ["KBaseSearch.GenomeSet", "KBaseSets.GenomeSet"] genome_obj_types = ["KBaseGenomes.Genome", "KBaseGenomeAnnotations.Genome"] tree_obj_types = ["KBaseTrees.Tree"] for input_ref in params['input_genome_refs']: (query_genome_obj_data, query_genome_obj_info, query_genome_obj_name, query_genome_obj_type) = self.get_obj_data(input_ref, 'genome or genomeSet', full_type=True) # just a genome if query_genome_obj_type in genome_obj_types: if input_ref not in elements: elements[input_ref] = dict() elements[input_ref]['ref'] = input_ref # the key line self.log(console, "adding element " + input_ref) query_genome_ref_order.append(input_ref) # handle genomeSet elif query_genome_obj_type in genomeSet_obj_types: for genome_id in sorted(query_genome_obj_data['elements'].keys()): genome_ref = query_genome_obj_data['elements'][genome_id]['ref'] if genome_ref not in elements: elements[genome_ref] = dict() elements[genome_ref]['ref'] = genome_ref # the key line self.log(console, "adding element " + genome_ref) query_genome_ref_order.append(genome_ref) # handle tree type elif query_genome_obj_type in tree_obj_types: for genome_id in sorted(query_genome_obj_data['ws_refs'].keys()): genome_ref = query_genome_obj_data['ws_refs'][genome_id]['g'][0] if genome_ref not in elements: elements[genome_ref] = dict() elements[genome_ref]['ref'] = genome_ref # the key line self.log(console, "adding element " + genome_ref) query_genome_ref_order.append(genome_ref) else: raise ValueError ("bad type for input_genome_refs") # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = [params['input_genomeset_ref']] input_ws_obj_refs.extend(params['input_genome_refs']) provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Add_Genomes_to_GenomeSet') # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING GENOMESET") output_GenomeSet = {'description': params['desc'], 'elements': elements} new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseSearch.GenomeSet', 'data': output_GenomeSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance}]})[0] # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "genomes in output set " + params['output_name'] + ": " + str(len(list(elements.keys())))) report += 'genomes in output set ' + params['output_name'] + ': ' report += str(len(list(elements.keys()))) + "\n" reportObj = { 'objects_created': [{'ref': params['workspace_name'] + '/' + params['output_name'], 'description':'KButil_Add_Genomes_to_GenomeSet'}], 'text_message': report} else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = {'objects_created': [], 'text_message': report} # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Add_Genomes_to_GenomeSet DONE") #END KButil_Add_Genomes_to_GenomeSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Add_Genomes_to_GenomeSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Remove_Genomes_from_GenomeSet(self, ctx, params): """ :param params: instance of type "KButil_Remove_Genomes_from_GenomeSet_Params" (KButil_Remove_Genomes_from_GenomeSet() ** ** Method for removing Genomes from a GenomeSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_genome_refs" of list of type "data_obj_ref", parameter "nonlocal_genome_names" of list of type "data_obj_name", parameter "input_genomeset_ref" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Remove_Genomes_from_GenomeSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Remove_Genomes_from_GenomeSet # init console = [] invalid_msgs = [] self.log(console, 'Running KButil_Remove_Genomes_from_GenomeSet with params=') self.log(console, "\n" + pformat(params)) report = '' [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple # check params required_params = ['workspace_name', 'input_genomeset_ref', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Reduced GenomeSet' if not params.get('input_genome_refs') and \ not params.get('nonlocal_genome_names'): raise ValueError('must define either Local genomes or Non-local genomes to remove') # read orig GenomeSet # genomeSet_workspace = None if 'input_genomeset_ref' in params and params['input_genomeset_ref'] is not None: (genomeSet, info, obj_name, type_name) = self.get_obj_data(params['input_genomeset_ref'], 'genomeSet') if type_name != 'GenomeSet': raise ValueError("Bad Type: Should be GenomeSet instead of '" + type_name + "'") genomeSet_workspace = info[WORKSPACE_I] # Build list of genome refs (without version) to skip. # Note: standardize to workspace_name and obj_id skip_genomes_by_ref = dict() nonlocal_skip_genome_refs = [] if params.get('input_genome_refs'): for genomeRef in params['input_genome_refs']: (this_obj_info, this_obj_name, this_obj_type) = self.get_obj_info(genomeRef, 'genome') standardized_genomeRef = self.get_obj_ref_from_obj_info_noVer(this_obj_info) skip_genomes_by_ref[standardized_genomeRef] = True if params.get('nonlocal_genome_names'): for gId in list(genomeSet['elements'].keys()): genomeRef = genomeSet['elements'][gId]['ref'] (genome_obj_info, this_genome_objname, type_name) = self.get_obj_info(genomeRef, 'genome') this_genome_workspace = genome_obj_info[WORKSPACE_I] standardized_genomeRef = self.get_obj_ref_from_obj_info_noVer(genome_obj_info) if this_genome_workspace != genomeSet_workspace \ and this_genome_objname in params['nonlocal_genome_names']: skip_genomes_by_ref[standardized_genomeRef] = True nonlocal_skip_genome_refs.append(standardized_genomeRef) # build new genome set without skip genomes elements = dict() for gId in list(genomeSet['elements'].keys()): genomeRef = genomeSet['elements'][gId]['ref'] (this_obj_info, this_genome_obj_name, this_genome_obj_type) = self.get_obj_info(genomeRef, 'genome') standardized_genomeRef = self.get_obj_ref_from_obj_info_noVer(this_obj_info) # this is where they are removed if not skip_genomes_by_ref.get(standardized_genomeRef): elements[gId] = dict() elements[gId]['ref'] = genomeRef # the key line self.log(console, "keeping element " + gId + " : " + genomeRef) else: self.log(console, "removing element " + gId + " : " + genomeRef) # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = [params['input_genomeset_ref']] input_ws_obj_refs.extend(params['input_genome_refs']) provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Remove_Genomes_from_GenomeSet') # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING GENOMESET") output_GenomeSet = {'description': params['desc'], 'elements': elements} new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{ 'type': 'KBaseSearch.GenomeSet', 'data': output_GenomeSet, 'name': params['output_name'], 'meta': {}, 'provenance': provenance}]})[0] # build output report object self.log(console, "BUILDING REPORT") if len(invalid_msgs) == 0: self.log(console, "genomes in output set " + params['output_name'] + ": " + str(len(list(elements.keys())))) report += 'genomes in output set ' + params['output_name'] + ': ' report += str(len(list(elements.keys()))) + "\n" reportObj = { 'objects_created': [{'ref': params['workspace_name'] + '/' + params['output_name'], 'description':'KButil_Remove_Genomes_from_GenomeSet'}], 'text_message': report} else: report += "FAILURE:\n\n" + "\n".join(invalid_msgs) + "\n" reportObj = {'objects_created': [], 'text_message': report} # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Remove_Genomes_from_GenomeSet DONE") #END KButil_Remove_Genomes_from_GenomeSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Remove_Genomes_from_GenomeSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Build_ReadsSet(self, ctx, params): """ :param params: instance of type "KButil_Build_ReadsSet_Params" (KButil_Build_ReadsSet() ** ** Method for creating a ReadsSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Build_ReadsSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Build_ReadsSet console = [] invalid_msgs = [] self.log(console,'Running KButil_Build_ReadsSet with params=') self.log(console, "\n" + pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Built ReadsSet' # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 1: self.log(console,"Must provide at least one Reads Lib") self.log(invalid_msgs,"Must provide at least one Reads Lib") # Build ReadsSet # items = [] lib_seen = dict() set_type = None for libRef in params['input_refs']: if not lib_seen.get(libRef): lib_seen[libRef] = True (libObj, info, lib_name, lib_type) = self.get_obj_data(libRef, 'reads library') if set_type is None: set_type = lib_type elif lib_type != set_type: raise ValueError("Don't currently support heterogeneous ReadsSets"+ " (e.g. PairedEndLibrary and SingleEndLibrary)." + " You have more than one type in your input") if lib_type != 'SingleEndLibrary' and lib_type != 'PairedEndLibrary': errMsg = "Bad Type: Should be SingleEndLibrary or PairedEndLibrary instead of " errMsg += "'{}' for ref: '{}'" raise ValueError(errMsg.format(lib_type, libRef)) # add lib self.log(console, "adding lib " + lib_name + " : " + libRef) items.append({'ref': libRef, 'label': lib_name}) # Store output object # if len(invalid_msgs) == 0: self.log(console, "SAVING READS_SET") output_readsSet_obj = {'description': params['desc'], 'items': items} output_readsSet_name = params['output_name'] try: rSet_ref = self.setAPI_Client.save_reads_set_v1( {'workspace_name': params['workspace_name'], 'output_object_name': output_readsSet_name, 'data': output_readsSet_obj})['set_ref'] except Exception as e: errMsg = 'SetAPI Error: Unable to save read library set obj to workspace: ({})\n{}' raise ValueError(errMsg.format(params['workspace_name'], str(e))) # build output report object # self.log(console, "SAVING REPORT") if len(invalid_msgs) == 0: self.log(console, "reads libs in output set " + params['output_name'] + ": " + str(len(params['input_refs']))) report += 'reads libs in output set ' + params['output_name'] + ': ' + str( len(params['input_refs'])) reportObj = { 'objects_created': [{'ref': params['workspace_name'] + '/' + params['output_name'], 'description': 'KButil_Build_ReadsSet'}], 'text_message': report} else: report += "FAILURE:\n\n"+"\n".join(invalid_msgs)+"\n" reportObj = {'objects_created': [], 'text_message': report} # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console, "KButil_Build_ReadsSet DONE") #END KButil_Build_ReadsSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Build_ReadsSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Merge_MultipleReadsSets_to_OneReadsSet(self, ctx, params): """ :param params: instance of type "KButil_Merge_MultipleReadsSets_to_OneReadsSet_Params" (KButil_Merge_MultipleReadsSets_to_OneReadsSet() ** ** Method for merging multiple ReadsSets into one ReadsSet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Merge_MultipleReadsSets_to_OneReadsSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Merge_MultipleReadsSets_to_OneReadsSet console = [] report = '' self.log(console, 'Running KButil_Merge_MultipleReadsSets_to_OneReadsSet with parameters: ') self.log(console, "\n"+pformat(params)) # check params required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 2: self.log(console,"Must provide at least two ReadsSets") self.log(invalid_msgs,"Must provide at least two ReadsSets") # init output object fields and SetAPI combined_readsSet_ref_list = [] combined_readsSet_name_list = [] combined_readsSet_label_list = [] # Iterate through list of ReadsSets # reads_lib_type = None reads_lib_ref_seen = dict() accepted_libs = [] repeat_libs = [] for set_i,this_readsSet_ref in enumerate(params['input_refs']): accepted_libs.append([]) repeat_libs.append([]) (input_reads_obj_info, input_reads_obj_name, input_reads_obj_type) = self.get_obj_info(this_readsSet_ref, 'reads set', full_type=True) acceptable_types = ["KBaseSets.ReadsSet"] if input_reads_obj_type not in acceptable_types: raise ValueError("Input reads of type: '" + input_reads_obj_type + "'. Must be one of " + ", ".join(acceptable_types)) # iterate through read libraries in read set and add new ones to combined ReadsSet try: input_readsSet_obj = self.setAPI_Client.get_reads_set_v1({ 'ref': this_readsSet_ref, 'include_item_info': 1}) except Exception as e: raise ValueError('SetAPI Error: Unable to get read library set from workspace: (' + this_readsSet_ref + ")\n" + str(e)) for readsLibrary_obj in input_readsSet_obj['data']['items']: this_readsLib_ref = readsLibrary_obj['ref'] this_readsLib_label = readsLibrary_obj['label'] (this_readsLib_name, this_readsLib_type) = self.get_obj_name_and_type_from_obj_info (readsLibrary_obj['info']) if reads_lib_type is None: reads_lib_type = this_readsLib_type elif this_readsLib_type != reads_lib_type: raise ValueError ("inconsistent reads library types in ReadsSets. " + "Must all be PairedEndLibrary or SingleEndLibrary to merge") if this_readsLib_ref not in reads_lib_ref_seen: reads_lib_ref_seen[this_readsLib_ref] = True combined_readsSet_ref_list.append(this_readsLib_ref) combined_readsSet_label_list.append(this_readsLib_label) combined_readsSet_name_list.append(this_readsLib_name) accepted_libs[set_i].append(this_readsLib_ref) else: repeat_libs[set_i].append(this_readsLib_ref) # Save Merged ReadsSet # items = [] for lib_i,lib_ref in enumerate(combined_readsSet_ref_list): items.append({'ref': lib_ref, 'label': combined_readsSet_label_list[lib_i] #'data_attachment': , #'info': }) output_readsSet_obj = { 'description': params['desc'], 'items': items } output_readsSet_name = params['output_name'] try: output_readsSet_ref = self.setAPI_Client.save_reads_set_v1 ({'workspace_name': params['workspace_name'], 'output_object_name': output_readsSet_name, 'data': output_readsSet_obj })['set_ref'] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save read library set object to workspace: (' + params['workspace_name']+")\n" + str(e)) # build report # self.log (console, "SAVING REPORT") report += "TOTAL READS LIBRARIES COMBINED INTO ONE READS SET: "+ str(len(combined_readsSet_ref_list))+"\n" for set_i,this_readsLib_ref in enumerate(params['input_refs']): report += "READS LIBRARIES ACCEPTED FROM ReadsSet "+str(set_i)+": "+str(len(accepted_libs[set_i]))+"\n" report += "READS LIBRARIES REPEAT FROM ReadsSet "+str(set_i)+": "+str(len(repeat_libs[set_i]))+"\n" report += "\n" reportObj = {'objects_created':[], 'text_message': report} reportObj['objects_created'].append({'ref':output_readsSet_ref, 'description':params['desc']}) # save report object # report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console,"KButil_Merge_MultipleReadsSets_to_OneReadsSet DONE") #END KButil_Merge_MultipleReadsSets_to_OneReadsSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Merge_MultipleReadsSets_to_OneReadsSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Build_AssemblySet(self, ctx, params): """ :param params: instance of type "KButil_Build_AssemblySet_Params" (KButil_Build_AssemblySet() ** ** Method for creating an AssemblySet) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "input_refs" of type "data_obj_ref", parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Build_AssemblySet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Build_AssemblySet console = [] invalid_msgs = [] self.log(console,'Running KButil_Build_AssemblySet with params=') self.log(console, "\n"+pformat(params)) report = '' # check params required_params = ['workspace_name', 'input_refs', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Built AssemblySet' # clean input_refs clean_input_refs = [] for ref in params['input_refs']: if ref is not None and ref != '' and ref not in clean_input_refs: clean_input_refs.append(ref) params['input_refs'] = clean_input_refs if len(params['input_refs']) < 1: self.log(console,"Must provide at least one Assembly") self.log(invalid_msgs,"Must provide at least one Assembly") # Build AssemblySet # items = [] ass_seen = dict() set_type = None for assRef in params['input_refs']: if not ass_seen.get(assRef): ass_seen[assRef] = True (assObj, info, ass_name, ass_type) = self.get_obj_data(assRef, 'assembly') if set_type != None: if ass_type != set_type: raise ValueError ("Don't currently support heterogeneous AssemblySets. You have more than one type in your input") set_type = ass_type # add assembly self.log(console,"adding assembly "+ass_name+" : "+assRef) items.append ({'ref': assRef, 'label': ass_name #'data_attachment': , #'info' }) # Store output object # if len(invalid_msgs) == 0: self.log(console,"SAVING ASSEMBLY_SET") output_assemblySet_obj = { 'description': params['desc'], 'items': items } output_assemblySet_name = params['output_name'] try: output_assemblySet_ref = self.setAPI_Client.save_assembly_set_v1 ({'workspace_name': params['workspace_name'], 'output_object_name': output_assemblySet_name, 'data': output_assemblySet_obj })['set_ref'] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save assembly set object to workspace: (' + params['workspace_name']+")\n" + str(e)) # build output report object # self.log(console,"SAVING REPORT") if len(invalid_msgs) == 0: self.log(console,"assembly objs in output set "+params['output_name']+": "+str(len(params['input_refs']))) report += 'assembly objs in output set '+params['output_name']+': '+str(len(params['input_refs'])) reportObj = { 'objects_created':[{'ref':params['workspace_name']+'/'+params['output_name'], 'description':'KButil_Build_AssemblySet'}], 'text_message':report } else: report += "FAILURE:\n\n"+"\n".join(invalid_msgs)+"\n" reportObj = { 'objects_created':[], 'text_message':report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console,"KButil_Build_AssemblySet DONE") #END KButil_Build_AssemblySet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Build_AssemblySet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Batch_Create_ReadsSet(self, ctx, params): """ :param params: instance of type "KButil_Batch_Create_ReadsSet_Params" (KButil_Batch_Create_ReadsSet() ** ** Method for creating a ReadsSet without specifying individual objects) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "name_pattern" of String, parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Batch_Create_ReadsSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Batch_Create_ReadsSet #### STEP 0: standard method init ## [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console,'Running KButil_Batch_Create_ReadsSet with params=') self.log(console, "\n"+pformat(params)) report = '' # check params required_params = ['workspace_name', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Batch Created ReadsSet' #### STEP 3: refine name_pattern ## name_pattern = params.get('name_pattern') if name_pattern: name_pattern = name_pattern.strip() name_pattern = name_pattern.strip('*') name_pattern = name_pattern.replace('.','\.') name_pattern = name_pattern.replace('*','.*') regexp_name_pattern = re.compile ('^.*'+name_pattern+'.*$') #### STEP 4: read ws for readslib objects ## pe_reads_obj_ref_by_name = dict() se_reads_obj_ref_by_name = dict() reads_obj_ref_by_name = None # Paired End pe_reads_obj_info_list = self.get_obj_info_list_from_ws_name(params['workspace_name'], 'KBaseFile.PairedEndLibrary', 'Paired-End Reads Library') for info in pe_reads_obj_info_list: reads_ref = self.get_obj_ref_from_obj_info(info) (reads_name, type_name) = self.get_obj_name_and_type_from_obj_info (info) if name_pattern: self.log(console, "NAME_PATTERN: '"+name_pattern+"' READS_NAME: '"+reads_name+"'") if not name_pattern or regexp_name_pattern.match(reads_name): self.log(console, "ADDING "+reads_name+" ("+reads_ref+")") pe_reads_obj_ref_by_name[reads_name] = reads_ref # Single End se_reads_obj_info_list = self.get_obj_info_list_from_ws_name(params['workspace_name'], 'KBaseFile.SingleEndLibrary', 'Single-End Reads Library') for info in se_reads_obj_info_list: reads_ref = self.get_obj_ref_from_obj_info(info) (reads_name, type_name) = self.get_obj_name_and_type_from_obj_info (info) if name_pattern: self.log(console, "NAME_PATTERN: '"+name_pattern+"' READS_NAME: '"+reads_name+"'") if not name_pattern or regexp_name_pattern.match(reads_name): self.log(console, "ADDING "+reads_name+" ("+reads_ref+")") se_reads_obj_ref_by_name[reads_name] = reads_ref # check for no hits if len(list(pe_reads_obj_ref_by_name.keys())) == 0 \ and len(list(se_reads_obj_ref_by_name.keys())) == 0: if not name_pattern: self.log(invalid_msgs, "No Reads Library objects found") else: self.log(invalid_msgs, "No Reads Library objects passing name_pattern filter: '"+name_pattern+"'") #### STEP 5: Build ReadsSet ## if len(invalid_msgs) == 0: items = [] reads_ref_list = [] # pick whether to use single end or paired end hits (favor paired end) if len(list(pe_reads_obj_ref_by_name.keys())) == 0 \ and len(list(se_reads_obj_ref_by_name.keys())) != 0: reads_obj_ref_by_name = se_reads_obj_ref_by_name else: reads_obj_ref_by_name = pe_reads_obj_ref_by_name # add readslibs for reads_name in sorted (reads_obj_ref_by_name.keys()): reads_ref = reads_obj_ref_by_name[reads_name] reads_ref_list.append (reads_ref) self.log(console,"adding reads library "+reads_name+" : "+reads_ref) items.append ({'ref': reads_ref, 'label': reads_name #'data_attachment': , #'info' }) #### STEP 6: Store output object ## if len(invalid_msgs) == 0: self.log(console,"SAVING READS_SET") # object def output_readsSet_obj = { 'description': params['desc'], 'items': items } output_readsSet_name = params['output_name'] # object save try: output_readsSet_ref = self.setAPI_Client.save_reads_set_v1 ({'workspace_name': params['workspace_name'], 'output_object_name': output_readsSet_name, 'data': output_readsSet_obj })['set_ref'] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save reads library set object to workspace: (' + params['workspace_name']+")\n" + str(e)) #### STEP 7: build output report object ## self.log(console,"SAVING REPORT") if len(invalid_msgs) != 0: report += "\n".join(invalid_msgs) reportObj = { 'objects_created':[], 'text_message':report } else: self.log(console,"reads library objs in output set "+params['output_name']+": "+str(len(items))) report += 'reads library objs in output set '+params['output_name']+': '+str(len(items)) desc = 'KButil_Batch_Create_ReadsSet' if name_pattern: desc += ' with name_pattern: '+name_pattern reportObj = { 'objects_created':[{'ref':params['workspace_name']+'/'+params['output_name'], 'description':desc}], 'text_message':report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console,"KButil_Batch_Create_ReadsSet DONE") #END KButil_Batch_Create_ReadsSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Batch_Create_ReadsSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Batch_Create_AssemblySet(self, ctx, params): """ :param params: instance of type "KButil_Batch_Create_AssemblySet_Params" (KButil_Batch_Create_AssemblySet() ** ** Method for creating an AssemblySet without specifying individual objects) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "name_pattern" of String, parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Batch_Create_AssemblySet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Batch_Create_AssemblySet #### STEP 0: standard method init ## [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console,'Running KButil_Batch_Create_AssemblySet with params=') self.log(console, "\n"+pformat(params)) report = '' # check params required_params = ['workspace_name', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Batch Created AssemblySet' #### STEP 3: refine name_pattern ## name_pattern = params.get('name_pattern') if name_pattern: name_pattern = name_pattern.strip() name_pattern = name_pattern.strip('*') name_pattern = name_pattern.replace('.','\.') name_pattern = name_pattern.replace('*','.*') regexp_name_pattern = re.compile ('^.*'+name_pattern+'.*$') #### STEP 4: read ws for assembly objects ## assembly_obj_ref_by_name = dict() assembly_obj_info_list = self.get_obj_info_list_from_ws_name(params['workspace_name'], 'KBaseGenomeAnnotations.Assembly', 'Assembly') for info in assembly_obj_info_list: assembly_ref = self.get_obj_ref_from_obj_info(info) (assembly_name, type_name) = self.get_obj_name_and_type_from_obj_info (info) if name_pattern: self.log(console, "NAME_PATTERN: '"+name_pattern+"' ASSEMBLY_NAME: '"+assembly_name+"'") if not name_pattern or regexp_name_pattern.match(assembly_name): self.log(console, "ADDING "+assembly_name+" ("+assembly_ref+")") assembly_obj_ref_by_name[assembly_name] = assembly_ref if len(list(assembly_obj_ref_by_name.keys())) == 0: if not name_pattern: self.log(invalid_msgs, "No Assembly objects found") else: self.log(invalid_msgs, "No Assembly objects passing name_pattern filter: '"+name_pattern+"'") #### STEP 5: Build AssemblySet ## if len(invalid_msgs) == 0: items = [] assembly_ref_list = [] for ass_name in sorted (assembly_obj_ref_by_name.keys()): # add assembly ass_ref = assembly_obj_ref_by_name[ass_name] assembly_ref_list.append (ass_ref) self.log(console,"adding assembly "+ass_name+" : "+ass_ref) items.append ({'ref': ass_ref, 'label': ass_name #'data_attachment': , #'info' }) #### STEP 6: Store output object ## if len(invalid_msgs) == 0: self.log(console,"SAVING ASSEMBLY_SET") # object def output_assemblySet_obj = { 'description': params['desc'], 'items': items } output_assemblySet_name = params['output_name'] # object save try: output_assemblySet_ref = self.setAPI_Client.save_assembly_set_v1 ({'workspace_name': params['workspace_name'], 'output_object_name': output_assemblySet_name, 'data': output_assemblySet_obj })['set_ref'] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save assembly set object to workspace: (' + params['workspace_name']+")\n" + str(e)) #### STEP 7: build output report object ## self.log(console,"SAVING REPORT") if len(invalid_msgs) != 0: report += "\n".join(invalid_msgs) reportObj = { 'objects_created':[], 'text_message':report } else: self.log(console,"assembly objs in output set "+params['output_name']+": "+str(len(items))) report += 'assembly objs in output set '+params['output_name']+': '+str(len(items)) desc = 'KButil_Batch_Create_AssemblySet' if name_pattern: desc += ' with name_pattern: '+name_pattern reportObj = { 'objects_created':[{'ref':params['workspace_name']+'/'+params['output_name'], 'description':desc}], 'text_message':report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console,"KButil_Batch_Create_AssemblySet DONE") #END KButil_Batch_Create_AssemblySet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Batch_Create_AssemblySet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def KButil_Batch_Create_GenomeSet(self, ctx, params): """ :param params: instance of type "KButil_Batch_Create_GenomeSet_Params" (KButil_Batch_Create_GenomeSet() ** ** Method for creating a GenomeSet without specifying individual objects) -> structure: parameter "workspace_name" of type "workspace_name" (** The workspace object refs are of form: ** ** objects = ws.get_objects([{'ref': params['workspace_id']+'/'+params['obj_name']}]) ** ** "ref" means the entire name combining the workspace id and the object name ** "id" is a numerical identifier of the workspace or object, and should just be used for workspace ** "name" is a string identifier of a workspace or object. This is received from Narrative.), parameter "name_pattern" of String, parameter "output_name" of type "data_obj_name", parameter "desc" of String :returns: instance of type "KButil_Batch_Create_GenomeSet_Output" -> structure: parameter "report_name" of type "data_obj_name", parameter "report_ref" of type "data_obj_ref" """ # ctx is the context object # return variables are: returnVal #BEGIN KButil_Batch_Create_GenomeSet #### STEP 0: standard method init ## [OBJID_I, NAME_I, TYPE_I, SAVE_DATE_I, VERSION_I, SAVED_BY_I, WSID_I, WORKSPACE_I, CHSUM_I, SIZE_I, META_I] = list(range(11)) # object_info tuple console = [] invalid_msgs = [] self.log(console,'Running KButil_Batch_Create_GenomeSet with params=') self.log(console, "\n"+pformat(params)) report = '' # check params required_params = ['workspace_name', 'output_name' ] self.check_params (params, required_params) if 'desc' not in params: params['desc'] = params['output_name']+' Batch Created GenomeSet' #### STEP 3: refine name_pattern ## name_pattern = params.get('name_pattern') if name_pattern: name_pattern = name_pattern.strip() name_pattern = name_pattern.strip('*') name_pattern = name_pattern.replace('.','\.') name_pattern = name_pattern.replace('*','.*') regexp_name_pattern = re.compile ('^.*'+name_pattern+'.*$') #### STEP 4: read ws for genome objects ## genome_obj_ref_by_name = dict() genome_obj_info_list = self.get_obj_info_list_from_ws_name(params['workspace_name'], 'KBaseGenomes.Genome', 'Genome') for info in genome_obj_info_list: genome_ref = self.get_obj_ref_from_obj_info(info) (genome_name, type_name) = self.get_obj_name_and_type_from_obj_info (info) if name_pattern: self.log(console, "NAME_PATTERN: '"+name_pattern+"' GENOME_NAME: '"+genome_name+"'") if not name_pattern or regexp_name_pattern.match(genome_name): self.log(console, "ADDING "+genome_name+" ("+genome_ref+")") genome_obj_ref_by_name[genome_name] = genome_ref if len(list(genome_obj_ref_by_name.keys())) == 0: if not name_pattern: self.log(invalid_msgs, "No Genome objects found") else: self.log(invalid_msgs, "No Genome objects passing name_pattern filter: '"+name_pattern+"'") #### STEP 5: Build GenomeSet ## if len(invalid_msgs) == 0: #items = [] elements = dict() genome_ref_list = [] for gen_name in sorted (genome_obj_ref_by_name.keys()): # add genome gen_ref = genome_obj_ref_by_name[gen_name] genome_ref_list.append (gen_ref) self.log(console,"adding genome "+gen_name+" : "+gen_ref) #items.append ({'ref': gen_ref, # 'label': gen_name # #'data_attachment': , # #'info' # }) elements[gen_name] = dict() elements[gen_name]['ref'] = gen_ref #### STEP 6: Store output object ## if len(invalid_msgs) == 0: self.log(console,"SAVING GENOME_SET") # set provenance self.log(console, "SETTING PROVENANCE") input_ws_obj_refs = genome_ref_list provenance = self.set_provenance(ctx, input_ws_obj_refs, 'kb_SetUtilities', 'KButil_Batch_Create_GenomeSet') # object def output_genomeSet_obj = { 'description': params['desc'], #'items': items 'elements': elements } output_genomeSet_name = params['output_name'] # object save try: new_obj_info = self.wsClient.save_objects({'workspace': params['workspace_name'], 'objects': [{'type': 'KBaseSearch.GenomeSet', 'data': output_genomeSet_obj, 'name': output_genomeSet_name, 'meta': {}, 'provenance': provenance }] })[0] except Exception as e: raise ValueError('SetAPI FAILURE: Unable to save genome set object to workspace: (' + params['workspace_name']+")\n" + str(e)) #### STEP 7: build output report object ## self.log(console,"SAVING REPORT") if len(invalid_msgs) != 0: report += "\n".join(invalid_msgs) reportObj = { 'objects_created':[], 'text_message':report } else: self.log(console,"genome objs in output set "+params['output_name']+": "+str(len(list(elements.keys())))) report += 'genome objs in output set '+params['output_name']+': '+str(len(list(elements.keys()))) desc = 'KButil_Batch_Create_GenomeSet' if name_pattern: desc += ' with name_pattern: '+name_pattern reportObj = { 'objects_created':[{'ref':params['workspace_name']+'/'+params['output_name'], 'description':desc}], 'text_message':report } # Save report report_info = self.reportClient.create({'report':reportObj, 'workspace_name':params['workspace_name']}) returnVal = { 'report_name': report_info['name'], 'report_ref': report_info['ref'] } self.log(console,"KButil_Batch_Create_GenomeSet DONE") #END KButil_Batch_Create_GenomeSet # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method KButil_Batch_Create_GenomeSet return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def status(self, ctx): #BEGIN_STATUS returnVal = {'state': "OK", 'message': "", 'version': self.VERSION, 'git_url': self.GIT_URL, 'git_commit_hash': self.GIT_COMMIT_HASH} #END_STATUS return [returnVal]

47.406301

202

0.56107

15,408

145,964

5.023884

0.033035

0.016458

0.030384

0.012764

0.802591

0.758836

0.721838

0.699798

0.683573

0.65855

0

0.00191

0.34366

145,964

3,078

203

47.421702

0.80609

0.189773

0

0.572699

0

0.177276

0.030023

0.00523

0

1

0.016736

false

0.002615

0.004184

0

0.040795

0.001046

0

null

0

1

0

1

0

null

0

4

35cb2c89087bbacddf3ebd726b509119055415cb

169

py

Python

deui/html/view/strong_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

1

2021-10-17T01:54:18.000Z

deui/html/view/strong_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

null

deui/html/view/strong_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

null

from .element import Element class Strong(Element): """ Represents content that has strong importance. """ def __str__(self): return "strong"

15.363636

50

0.639053

18

169

5.777778

0.777778

0

0.266272

169

10

51

16.9

0.83871

0.272189

0

0.056075

0

1

0.25

false

0

0.25

1

0

1

0

null

0

null

0

1

0

1

0

4

35d6adc68889ed358b010a0cd2ed31f599f10743

154

py

Python

World/Chat/Constants/ChatTag.py

sergio-ivanuzzo/idewave-core

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

10

2019-06-29T19:24:52.000Z

2021-02-21T22:45:57.000Z

World/Chat/Constants/ChatTag.py

sergio-ivanuzzo/wowcore

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

4

2019-08-15T07:03:36.000Z

2021-06-02T13:01:25.000Z

World/Chat/Constants/ChatTag.py

sergio-ivanuzzo/idewave-core

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

8

2019-06-30T22:47:48.000Z

2021-02-20T19:21:30.000Z

from enum import Enum class ChatTag(Enum): NONE = 0x00 AFK = 0x01 DND = 0x02 GM = 0x04

15.4

26

0.402597

15

154

4.133333

0.866667

0

0.173913

0.551948

154

9

27

17.111111

0.724638

0

0.103896

0

1

0

false

0

0.166667

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

4

35e82d4ef4d49785aa34c3af635ba146f1224411

188

py

Python

lib/python3.4/site-packages/flask/testsuite/test_apps/moduleapp/__init__.py

LChristakis/chalice-hunter

6bffea4620e23ce9ff12ac30526ebafcb9c10058

[ "MIT" ]

21,684

2015-01-01T03:42:20.000Z

2022-03-30T13:32:44.000Z

lib/python3.4/site-packages/flask/testsuite/test_apps/moduleapp/__init__.py

LChristakis/chalice-hunter

6bffea4620e23ce9ff12ac30526ebafcb9c10058

[ "MIT" ]

4,067

2015-01-01T00:04:51.000Z

2022-03-30T13:42:56.000Z

lib/python3.4/site-packages/flask/testsuite/test_apps/moduleapp/__init__.py

LChristakis/chalice-hunter

6bffea4620e23ce9ff12ac30526ebafcb9c10058

[ "MIT" ]

1,901

2015-01-01T21:05:59.000Z

2022-03-21T08:14:25.000Z

from flask import Flask app = Flask(__name__) from moduleapp.apps.admin import admin from moduleapp.apps.frontend import frontend app.register_module(admin) app.register_module(frontend)

23.5

44

0.835106

27

188

5.592593

0.407407

0.172185

0.225166

0

0.095745

188

7

45

26.857143

0.888235

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

ea05a0b0b7b3805abfea825f39a9266acff20b20

301

py

Python

torchvision/models/segmentation/segmentation.py

willfrey/vision

56fb0bf5796ac374d4e353032e418236cd73c554

[ "BSD-3-Clause" ]

1

2022-03-08T14:11:12.000Z

torchvision/models/segmentation/segmentation.py

willfrey/vision

56fb0bf5796ac374d4e353032e418236cd73c554

[ "BSD-3-Clause" ]

null

torchvision/models/segmentation/segmentation.py

willfrey/vision

56fb0bf5796ac374d4e353032e418236cd73c554

[ "BSD-3-Clause" ]

null

import warnings # Import all methods/classes for BC: from . import * # noqa: F401, F403 warnings.warn( "The 'torchvision.models.segmentation.segmentation' module is deprecated since 0.12 and will be removed in " "0.14. Please use the 'torchvision.models.segmentation' directly instead." )

27.363636

112

0.740864

41

301

5.439024

0.780488

0.125561

0.179372

0.286996

0

0.047809

0.166113

301

10

113

30.1

0.840637

0.169435

0

0.166667

0.720648

0.319838

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

4

ea06975e629b07547da6955b29533a5ebf27238d

231

py

Python

models/taster_exceptions.py

awesome-archive/MusicTaster

5833fc1802c0182598053a35e04a5c192895638b

[ "MIT" ]

45

2017-02-26T12:24:47.000Z

2021-12-13T07:41:32.000Z

models/taster_exceptions.py

awesome-archive/MusicTaster

5833fc1802c0182598053a35e04a5c192895638b

[ "MIT" ]

null

models/taster_exceptions.py

awesome-archive/MusicTaster

5833fc1802c0182598053a35e04a5c192895638b

[ "MIT" ]

17

2017-05-12T10:17:12.000Z

2021-04-17T14:27:41.000Z

# coding=utf-8 """ Created by jayvee on 16/12/22. """ class NonDataException(IOError): """ 无法获取到数据时的异常 """ def __init__(self, msg): self.message = msg def __str__(self): return self.message

12.833333

32

0.584416

27

231

4.703704

0.777778

0.173228

0

0.042169

0.281385

231

17

33

13.588235

0.722892

0.242424

0

1

0.4

false

0

0.2

0.8

0

1

0

null

0

null

0

1

0

1

0

4

ea099d5689ea4563e3d4442ca0df54d1f3e695d7

743

py

Python

numba/tests/builtins/test_builtin_pow.py

liuzhenhai/numba

855a2b262ae3d82bd6ac1c3e1c0acb36ee2e2acf

[ "BSD-2-Clause" ]

null

numba/tests/builtins/test_builtin_pow.py

liuzhenhai/numba

855a2b262ae3d82bd6ac1c3e1c0acb36ee2e2acf

[ "BSD-2-Clause" ]

null

numba/tests/builtins/test_builtin_pow.py

liuzhenhai/numba

855a2b262ae3d82bd6ac1c3e1c0acb36ee2e2acf

[ "BSD-2-Clause" ]

null

""" >>> pow3(2,3,5) == 3 True >>> pow3(3,3,5) == 2 True >>> pow3_const() == 3 True >>> pow2(2,3) == 8 True >>> pow2(3,3) == 27 True >>> pow2_const() == 8 True >>> c1, c2 = 1.2 + 4.1j, 0.6 + 0.5j >>> allclose(pow2(c1, c2), pow(c1, c2)) True >>> d1, d2 = 4.2, 5.1 >>> allclose(pow2(d1, d2), pow(d1, d2)) True """ from numpy import allclose from numba import * @autojit(backend='ast') def pow3(a,b,c): return pow(a,b,c) @autojit(backend='ast') def pow3_const(): return pow(2,3,5) @autojit(backend='ast') def pow2(a,b): return pow(a,b) @autojit(backend='ast') def pow2_const(): return pow(2,3) if __name__ == '__main__': # import logging; logging.getLogger().setLevel(0) import numba numba.testing.testmod()

14.568627

52

0.58681

128

743

3.3125

0.320313

0.018868

0.160377

0.188679

0.301887

0

0.097521

0.185734

743

50

53

14.86

0.603306

0.483176

0

0.235294

0

0.053333

0

1

0.235294

false

0

0.176471

0.235294

0.647059

0

null

0

1

0

null

0

1

0

1

0

4

ea10c33b2ae5ce0dfe51d6bc0f5038dc514b1cf8

334

py

Python

json_parser.py

ROpdebee/CAA-Auditor

2fb33f792dcc9ee711ebaf6532e67b85ff79cd40

[ "MIT" ]

null

json_parser.py

ROpdebee/CAA-Auditor

2fb33f792dcc9ee711ebaf6532e67b85ff79cd40

[ "MIT" ]

null

json_parser.py

ROpdebee/CAA-Auditor

2fb33f792dcc9ee711ebaf6532e67b85ff79cd40

[ "MIT" ]

null

from typing import Any try: from json_parser_cysimdjson import JSONArray, JSONObject, parse, parse_str, safe_get, to_native except ImportError: print('Using slow built-in json parsing, install cysimdjson') from json_parser_builtin import JSONArray, JSONObject, parse, parse_str, safe_get, to_native # type: ignore[misc]

41.75

118

0.787425

47

334

5.382979

0.617021

0.063241

0.110672

0.237154

0.418972

0

0.146707

334

7

119

47.714286

0.887719

0.053892

0

0.165605

0

1

0

true

0

0.666667

0

0.666667

0.166667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

ea1d5a72a33ed813ed8f86e0ab2a8e0690d3321c

180

py

Python

post/admin.py

rezaul99/Sample-Django-Project

d087d3fd419139ec7f3c934ae89eaca4e75b3f8e

[ "Apache-2.0" ]

1

2019-02-17T18:31:07.000Z

post/admin.py

rezaul99/Sample-Django-Project

d087d3fd419139ec7f3c934ae89eaca4e75b3f8e

[ "Apache-2.0" ]

null

post/admin.py

rezaul99/Sample-Django-Project

d087d3fd419139ec7f3c934ae89eaca4e75b3f8e

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import * @admin.register(BlogPost) class BlogPostAdmin(admin.ModelAdmin): list_display = [f.name for f in BlogPost._meta.fields]

25.714286

58

0.777778

25

180

5.52

0.76

0.15942

0

0.127778

180

6

59

30

0.878981

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ea4291465aee10dab088c323e29dfc5454f0286b

182

py

Python

pylas/lasdatas/las12.py

weyerhaeuser/pylas

8b0e266bf65e40906128979546de97093aaeadeb

[ "BSD-3-Clause" ]

2

2021-03-11T20:19:39.000Z

2021-08-18T08:31:49.000Z

pylas/lasdatas/las12.py

weyerhaeuser/pylas

8b0e266bf65e40906128979546de97093aaeadeb

[ "BSD-3-Clause" ]

null

pylas/lasdatas/las12.py

weyerhaeuser/pylas

8b0e266bf65e40906128979546de97093aaeadeb

[ "BSD-3-Clause" ]

null

from .base import LasBase class LasData(LasBase): def __init__(self, *, header=None, vlrs=None, points=None): super().__init__(header=header, vlrs=vlrs, points=points)

26

65

0.703297

24

182

5

0.583333

0

0.159341

182

6

66

30.333333

0.784314

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

579eb50459cde106f96279f3256b79641cfa9927

201

py

Python

testcgi2.py

tyrell81/webuipi

c0bb320cd27cebfcf36019faaac443d777fd1717

[ "MIT" ]

null

testcgi2.py

tyrell81/webuipi

c0bb320cd27cebfcf36019faaac443d777fd1717

[ "MIT" ]

null

testcgi2.py

tyrell81/webuipi

c0bb320cd27cebfcf36019faaac443d777fd1717

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import sys, os, re, shutil, json, urllib, urllib2, cgi # Fix issues with decoding HTTP responses #reload(sys) #sys.setdefaultencoding('utf8') cgi.test()

20.1

54

0.691542

29

201

4.793103

0.896552

0

0.017341

0.139303

201

9

55

22.333333

0.786127

0.61194

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

57af9df4dbfe6db94716caa772ab5f4f6c761876

34

py

Python

homeassistant/components/crimereports/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

homeassistant/components/crimereports/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

57

2020-10-15T06:47:00.000Z

2022-03-31T06:11:18.000Z

homeassistant/components/crimereports/__init__.py

klauern/home-assistant-core

c18ba6aec0627e6afb6442c678edb5ff2bb17db6

[ "Apache-2.0" ]

14

2018-08-19T16:28:26.000Z

2021-09-02T18:26:53.000Z

"""The crimereports component."""

17

33

0.705882

3

34

8

1

0

0.088235

34

1

34

0.774194

0.794118

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

57c6c9bbe3c9715d0b69e477e1ef3a84b0ad6574

58

py

Python

unittest/loader_simple/tests/__init__.py

kumarstack55/python-playground

f152ce42cf663804ef217261402058cead0b726c

[ "MIT" ]

null

unittest/loader_simple/tests/__init__.py

kumarstack55/python-playground

f152ce42cf663804ef217261402058cead0b726c

[ "MIT" ]

null

unittest/loader_simple/tests/__init__.py

kumarstack55/python-playground

f152ce42cf663804ef217261402058cead0b726c

[ "MIT" ]

null

#import unittest #from tests.test_add import MyTestCase

11.6

38

0.810345

8

58

5.75

0.875

0

0.137931

58

4

39

14.5

0.92

0.896552

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

17bf75caa629fffdb87a54d97d216827f269ada4

930

py

Python

src/pycropml/transpiler/antlr_py/grammars/CommentsVisitor.py

AgriculturalModelExchangeInitiative/PyCropML

2eb330297d0765771c3b240e1936eb1110d47972

[ "MIT" ]

3

2018-01-22T15:33:44.000Z

2018-08-02T20:40:40.000Z

src/pycropml/transpiler/antlr_py/grammars/CommentsVisitor.py

AgriculturalModelExchangeInitiative/PyCropML

2eb330297d0765771c3b240e1936eb1110d47972

[ "MIT" ]

24

2018-01-22T12:18:15.000Z

2018-11-19T12:55:18.000Z

src/pycropml/transpiler/antlr_py/grammars/CommentsVisitor.py

AgriculturalModelExchangeInitiative/PyCropML

2eb330297d0765771c3b240e1936eb1110d47972

[ "MIT" ]

1

2018-01-25T07:07:09.000Z

# Generated from Comments.g4 by ANTLR 4.8 from antlr4 import * if __name__ is not None and "." in __name__: from .CommentsParser import CommentsParser else: from CommentsParser import CommentsParser # This class defines a complete generic visitor for a parse tree produced by CommentsParser. class CommentsVisitor(ParseTreeVisitor): # Visit a parse tree produced by CommentsParser#documentation. def visitDocumentation(self, ctx:CommentsParser.DocumentationContext): return self.visitChildren(ctx) # Visit a parse tree produced by CommentsParser#documentationContent. def visitDocumentationContent(self, ctx:CommentsParser.DocumentationContentContext): return self.visitChildren(ctx) # Visit a parse tree produced by CommentsParser#comment_line. def visitComment_line(self, ctx:CommentsParser.Comment_lineContext): return self.visitChildren(ctx) del CommentsParser

33.214286

92

0.78172

104

930

6.884615

0.471154

0.03352

0.055866

0.100559

0.28352

0.236034

0.181564

0

0.005141

0.163441

930

28

93

33.214286

0.915167

0.339785

0

0.230769

1

0

0.00165

0

1

0.230769

false

0

0.230769

0.769231

0

null

0

1

0

null

0

1

0

1

0

4

17d620c5be9a8568267b2476a1ee8b1771cf7ab6

237

py

Python

utils/__init__.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

6

2021-02-18T05:18:17.000Z

2022-02-19T02:49:32.000Z

utils/__init__.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

null

utils/__init__.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

2

2021-02-18T11:31:50.000Z

2022-02-19T02:49:07.000Z

from .checkpoint import save_best_model, save_model from .config import load_config from .jsonutil import save_json from .logger import get_logger from .meter import AverageMeter from .parser import get_parser from .seed import set_seed

29.625

51

0.843882

37

237

5.189189

0.459459

0.104167

0

0.122363

237

7

52

33.857143

0.923077

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

aa06c3fb1be100d7a8deac3d0902a412c4a754ad

166

py

Python

templateaddons/settings.py

austinbrown34/django-templateaddons3

c18dd25914a74f129ea5ebf8dd2a09336458fd02

[ "BSD-3-Clause" ]

null

templateaddons/settings.py

austinbrown34/django-templateaddons3

c18dd25914a74f129ea5ebf8dd2a09336458fd02

[ "BSD-3-Clause" ]

null

templateaddons/settings.py

austinbrown34/django-templateaddons3

c18dd25914a74f129ea5ebf8dd2a09336458fd02

[ "BSD-3-Clause" ]

3

2018-07-16T09:18:47.000Z

2022-03-16T02:46:33.000Z

from django.conf import settings TEMPLATEADDONS_COUNTERS_VARIABLE = getattr(settings, 'TEMPLATEADDONS_COUNTER_GLOBAL_VARIABLE', '_templateaddons_counters') # NOQA

33.2

130

0.849398

17

166

7.882353

0.705882

0.328358

0

0.084337

166

4

131

41.5

0.881579

0.024096

0

0.3875

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

aa29ef91d7e92a5eacba8d19a696681100ac5fca

254

py

Python

Py93/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py93/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py93/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

def words_numbers_counter(): entered_value = input("Enter string:") print("Words:", len(list(filter(lambda x: x.isalpha(), entered_value)))) print("Numbers:", len(list(filter(lambda x: x.isdigit(), entered_value)))) words_numbers_counter()

31.75

78

0.700787

34

254

5.029412

0.5

0.210526

0.222222

0.245614

0

0.122047

254

7

79

36.285714

0.766816

0

0.106299

0

1

0.2

false

0

0.2

0.4

0

null

1

0

1

0

null

0

4

aa2ada62f40a26280d5b86bbdb07fb2896c662fc

43

pyde

Python

processing/Mod. 9/sketch_9_1_l61/sketch_9_1_l61.pyde

nanam0rgana/2019-fall-polytech-cs

1a31acb3cf22edc930318dec17324b05dd7788d5

[ "MIT" ]

null

processing/Mod. 9/sketch_9_1_l61/sketch_9_1_l61.pyde

nanam0rgana/2019-fall-polytech-cs

1a31acb3cf22edc930318dec17324b05dd7788d5

[ "MIT" ]

null

processing/Mod. 9/sketch_9_1_l61/sketch_9_1_l61.pyde

nanam0rgana/2019-fall-polytech-cs

1a31acb3cf22edc930318dec17324b05dd7788d5

[ "MIT" ]

null

k = random(5,15) xCoordinate = [k] print k

10.75

17

0.651163

8

43

3.5

0.75

0

0.085714

0.186047

43

3

18

14.333333

0.714286

0

null

0

null

0.333333

1

0

null

0

1

0

null

0

1

0

4

a4a9c690a7b67fe1f7939870e81c759c5ddfaa1d

2,978

py

Python

mparticle/__init__.py

juviasuisei/mparticle-python-sdk

2f412da6fb765736c252888b1f3f57c99c4de3b9

[ "Apache-2.0" ]

3

2020-09-24T19:37:19.000Z

2021-04-21T15:58:55.000Z

mparticle/__init__.py

juviasuisei/mparticle-python-sdk

2f412da6fb765736c252888b1f3f57c99c4de3b9

[ "Apache-2.0" ]

5

2016-12-10T19:24:35.000Z

2022-03-10T14:45:55.000Z

mparticle/__init__.py

juviasuisei/mparticle-python-sdk

2f412da6fb765736c252888b1f3f57c99c4de3b9

[ "Apache-2.0" ]

6

2016-12-20T23:28:36.000Z

2020-10-14T03:11:41.000Z

# coding: utf-8 """ mParticle mParticle Event API OpenAPI spec version: 1.0.1 Contact: support@mparticle.com Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import # import models into sdk package from .models.api_response import ApiResponse from .models.api_response_errors import ApiResponseErrors from .models.app_event import AppEvent from .models.application_information import ApplicationInformation from .models.application_state_transition_event import ApplicationStateTransitionEvent from .models.attribution_info import AttributionInfo from .models.batch import Batch from .models.breadcrumb_event import BreadcrumbEvent from .models.ccpa_consent_state import CCPAConsentState from .models.commerce_event import CommerceEvent from .models.consent_state import ConsentState from .models.crash_report_event import CrashReportEvent from .models.device_current_state import DeviceCurrentState from .models.device_information import DeviceInformation from .models.event_base import EventBase from .models.event_data import EventData from .models.first_run_event import FirstRunEvent from .models.gdpr_consent_state import GDPRConsentState from .models.geo_location import GeoLocation from .models.media_info import MediaInfo from .models.network_performance_event import NetworkPerformanceEvent from .models.opt_out_event import OptOutEvent from .models.product import Product from .models.product_action import ProductAction from .models.product_impression import ProductImpression from .models.profile_event import ProfileEvent from .models.promotion import Promotion from .models.promotion_action import PromotionAction from .models.push_message_event import PushMessageEvent from .models.push_registration_event import PushRegistrationEvent from .models.screen_view_event import ScreenViewEvent from .models.session_end_event import SessionEndEvent from .models.session_start_event import SessionStartEvent from .models.shopping_cart import ShoppingCart from .models.source_information import SourceInformation from .models.user_identities import UserIdentities from .models.batch_context import BatchContext from .models.data_plan_context import DataPlanContext # import apis into sdk package from .apis.events_api import EventsApi # import ApiClient from .api_client import ApiClient from .configuration import Configuration

40.243243

86

0.838146

386

2,978

6.316062

0.455959

0.155865

0.022149

0.013126

0

0.003044

0.117529

2,978

73

87

40.794521

0.924658

0.259234

0

1

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

a4b8c4d8021c72da47828a33f48a0b9cf00abb4e

43

py

Python

tempCodeRunnerFile.py

tobby-lie/Russion-Disinformation-Project

387c283942380c4cf86c24a9278577897f29b2bf

[ "CC-BY-4.0" ]

null

tempCodeRunnerFile.py

tobby-lie/Russion-Disinformation-Project

387c283942380c4cf86c24a9278577897f29b2bf

[ "CC-BY-4.0" ]

null

tempCodeRunnerFile.py

tobby-lie/Russion-Disinformation-Project

387c283942380c4cf86c24a9278577897f29b2bf

[ "CC-BY-4.0" ]

null

_file: data_svm = json.load(json_file)

14.333333

35

0.697674

7

43

3.857143

0.714286

0

0.186047

43

2

36

21.5

0.771429

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

a4bad98b106da41c2e3d7d213245bad114ad447a

294

py

Python

src/metrics.py

szymonmaszke/AiCorExample

e453e6922bddb612fb5a3feefa62ecf40a2ea719

[ "MIT" ]

4

2021-02-12T16:30:53.000Z

2021-08-30T02:48:19.000Z

src/metrics.py

AI-Core/AiCorExample

e453e6922bddb612fb5a3feefa62ecf40a2ea719

[ "MIT" ]

null

src/metrics.py

AI-Core/AiCorExample

e453e6922bddb612fb5a3feefa62ecf40a2ea719

[ "MIT" ]

2

2021-01-17T16:13:03.000Z

2021-01-18T11:09:10.000Z

import torch def accuracy(logits, y): return torch.mean((torch.argmax(logits, dim=-1) == y).float()) def loss(logits, y): return torch.nn.functional.cross_entropy(logits, y) def print_metrics(metrics): for metric, value in metrics.items(): print(f"{metric}: {value}")

19.6

66

0.666667

42

294

4.619048

0.595238

0.108247

0.134021

0.185567

0

0.004115

0.173469

294

14

67

21

0.794239

0

0.057823

0

1

0.375

false

0

0.125

0.25

0.75

0.25

0

null

0

1

0

null

0

1

0

1

0

4

a4e03ee734e5025ac24d7874bb3702ff16083b79

273

py

Python

pavo_cristatus/interaction_sequence_generators/utilities.py

MATTHEWFRAZER/pavo_cristatus

a4b96c0eb6c454fbe38d2092e29f63457a4ee955

[ "MIT" ]

null

pavo_cristatus/interaction_sequence_generators/utilities.py

MATTHEWFRAZER/pavo_cristatus

a4b96c0eb6c454fbe38d2092e29f63457a4ee955

[ "MIT" ]

null

pavo_cristatus/interaction_sequence_generators/utilities.py

MATTHEWFRAZER/pavo_cristatus

a4b96c0eb6c454fbe38d2092e29f63457a4ee955

[ "MIT" ]

null

def get_type_check(expected_type): """ Any -> (Any -> bool) :param expected_type: type that will be used in the generated boolean check :return: a function that will do a boolean check against new types """ return lambda x: type(x) is expected_type

34.125

79

0.688645

42

273

4.357143

0.619048

0.196721

0

0.230769

273

7

80

39

0.871429

0.59707

0

1

0

1

0.5

false

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

a4eaa048ec52ee4ca7626e5af261917e261102f5

169

py

Python

run_tests.py

roedoejet/wordweaver-legacy

caadb2edf0c848337f14dc56513c0b7cf14ffb67

[ "MIT" ]

4

2019-10-03T16:22:41.000Z

2020-09-14T07:01:52.000Z

run_tests.py

nrc-cnrc/wordweaver

24789191e5a92d0b77fe46f0c2e0a251baa7e06c

[ "MIT" ]

null

run_tests.py

nrc-cnrc/wordweaver

24789191e5a92d0b77fe46f0c2e0a251baa7e06c

[ "MIT" ]

null

from wordweaver.tests import run import sys try: run.run_tests(sys.argv[1]) except IndexError: print("Please specify a test suite to run: i.e. 'dev' or 'prod'")

24.142857

69

0.710059

29

169

4.103448

0.793103

0

0.007143

0.171598

169

7

69

24.142857

0.842857

0

0.329412

0

1

0

true

0

0.333333

0

0.333333

0.166667

1

0

null

0

1

0

null

0

1

0

1

0

4

a4f7276a042ec88a0127e8c158b97f83292c6751

1,303

py

Python

py_typescript_generator/typescript_model_compiler/ts_type.py

Latios96/py-typescript-generator

803f1fee30ceab31228db59e0408576b503b42ef

[ "MIT" ]

1

2022-03-11T14:19:12.000Z

py_typescript_generator/typescript_model_compiler/ts_type.py

Latios96/py-typescript-generator

803f1fee30ceab31228db59e0408576b503b42ef

[ "MIT" ]

null

py_typescript_generator/typescript_model_compiler/ts_type.py

Latios96/py-typescript-generator

803f1fee30ceab31228db59e0408576b503b42ef

[ "MIT" ]

null

class TsType: def __init__(self, name: str, is_optional: bool = False): self._name = name self._is_optional = is_optional @property def name(self) -> str: return self._name @property def is_optional(self) -> bool: return self._is_optional def as_optional_type(self): # type: ()->TsType return TsType(name=self.name, is_optional=True) def as_non_optional_type(self): # type: ()->TsType return TsType(name=self.name, is_optional=False) def with_is_optional(self, is_optional): # type: (bool)->TsType return TsType(name=self.name, is_optional=is_optional) def __repr__(self): return self.__str__() def __str__(self): return f"TsType(name='{self.name}', is_optional='{self.is_optional}')" def __hash__(self): return hash((self.name, self.is_optional)) def __eq__(self, other): return ( other and self.name == other.name and self.is_optional == other.is_optional ) def format_as_type_reference(self) -> str: return self._format_as_optional(self.name) def _format_as_optional(self, the_str: str) -> str: if self.is_optional: return f"({the_str} | undefined)" return the_str

27.723404

87

0.626247

170

1,303

4.429412

0.170588

0.225764

0.130146

0.095618

0.300133

0.249668

0.212483

0.159363

0

0.260169

1,303

46

88

28.326087

0.78112

0.041443

0

0.0625

0

0.066667

0.04739

0

1

0.375

false

0

0.3125

0.78125

0

null

1

0

null

0

1

0

1

0

4

351733708c6fc24fe4f882aca0b245d91867a702

17,952

py

Python

test/orm/test_update_delete.py

ContextLogic/sqlalchemy

b7adfe5e4d9baa61169ba79aa5ba8f64f0ff7645

[ "MIT" ]

8

2017-07-18T18:35:10.000Z

2022-02-01T19:52:57.000Z

test/orm/test_update_delete.py

RetailArchitects/sqlalchemy

399a5c96b2fd0e0f2f0cdda7766b31e37454eb2e

[ "MIT" ]

null

test/orm/test_update_delete.py

RetailArchitects/sqlalchemy

399a5c96b2fd0e0f2f0cdda7766b31e37454eb2e

[ "MIT" ]

6

2017-07-26T08:51:10.000Z

2021-03-04T10:16:37.000Z

from test.lib.testing import eq_, assert_raises, assert_raises_message from test.lib import fixtures, testing from sqlalchemy import Integer, String, ForeignKey, or_, and_, exc, select, func from sqlalchemy.orm import mapper, relationship, backref, Session, joinedload from test.lib.schema import Table, Column class UpdateDeleteTest(fixtures.MappedTest): @classmethod def define_tables(cls, metadata): Table('users', metadata, Column('id', Integer, primary_key=True, test_needs_autoincrement=True), Column('name', String(32)), Column('age', Integer)) @classmethod def setup_classes(cls): class User(cls.Comparable): pass @classmethod def insert_data(cls): users = cls.tables.users users.insert().execute([ dict(id=1, name='john', age=25), dict(id=2, name='jack', age=47), dict(id=3, name='jill', age=29), dict(id=4, name='jane', age=37), ]) @classmethod def setup_mappers(cls): User = cls.classes.User users = cls.tables.users mapper(User, users) def test_illegal_operations(self): User = self.classes.User s = Session() for q, mname in ( (s.query(User).limit(2), "limit"), (s.query(User).offset(2), "offset"), (s.query(User).limit(2).offset(2), "limit"), (s.query(User).order_by(User.id), "order_by"), (s.query(User).group_by(User.id), "group_by"), (s.query(User).distinct(), "distinct") ): assert_raises_message( exc.InvalidRequestError, r"Can't call Query.update when %s has been called" % mname, q.update, {'name':'ed'}) assert_raises_message( exc.InvalidRequestError, r"Can't call Query.delete when %s has been called" % mname, q.delete) def test_delete(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(or_(User.name == 'john', User.name == 'jill')).delete() assert john not in sess and jill not in sess eq_(sess.query(User).order_by(User.id).all(), [jack,jane]) def test_delete_with_bindparams(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter('name = :name').params(name='john').delete('fetch') assert john not in sess eq_(sess.query(User).order_by(User.id).all(), [jack,jill,jane]) def test_delete_rollback(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(or_(User.name == 'john', User.name == 'jill')).\ delete(synchronize_session='evaluate') assert john not in sess and jill not in sess sess.rollback() assert john in sess and jill in sess def test_delete_rollback_with_fetch(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(or_(User.name == 'john', User.name == 'jill')).\ delete(synchronize_session='fetch') assert john not in sess and jill not in sess sess.rollback() assert john in sess and jill in sess def test_delete_without_session_sync(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(or_(User.name == 'john', User.name == 'jill')).\ delete(synchronize_session=False) assert john in sess and jill in sess eq_(sess.query(User).order_by(User.id).all(), [jack,jane]) def test_delete_with_fetch_strategy(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(or_(User.name == 'john', User.name == 'jill')).\ delete(synchronize_session='fetch') assert john not in sess and jill not in sess eq_(sess.query(User).order_by(User.id).all(), [jack,jane]) @testing.fails_on('mysql', 'FIXME: unknown') def test_delete_invalid_evaluation(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() assert_raises(exc.InvalidRequestError, sess.query(User). filter(User.name == select([func.max(User.name)])).delete, synchronize_session='evaluate' ) sess.query(User).filter(User.name == select([func.max(User.name)])).\ delete(synchronize_session='fetch') assert john not in sess eq_(sess.query(User).order_by(User.id).all(), [jack,jill,jane]) def test_update(self): User, users = self.classes.User, self.tables.users sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(User.age > 29).\ update({'age': User.age - 10}, synchronize_session='evaluate') eq_([john.age, jack.age, jill.age, jane.age], [25,37,29,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,37,29,27])) sess.query(User).filter(User.age > 29).\ update({User.age: User.age - 10}, synchronize_session='evaluate') eq_([john.age, jack.age, jill.age, jane.age], [25,27,29,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,27,29,27])) sess.query(User).filter(User.age > 27).\ update({users.c.age: User.age - 10}, synchronize_session='evaluate') eq_([john.age, jack.age, jill.age, jane.age], [25,27,19,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,27,19,27])) sess.query(User).filter(User.age == 25).\ update({User.age: User.age - 10}, synchronize_session='fetch') eq_([john.age, jack.age, jill.age, jane.age], [15,27,19,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([15,27,19,27])) def test_update_with_bindparams(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter('age > :x').params(x=29).\ update({'age': User.age - 10}, synchronize_session='fetch') eq_([john.age, jack.age, jill.age, jane.age], [25,37,29,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,37,29,27])) def test_update_changes_resets_dirty(self): User = self.classes.User sess = Session(autoflush=False) john,jack,jill,jane = sess.query(User).order_by(User.id).all() john.age = 50 jack.age = 37 # autoflush is false. therefore our '50' and '37' are getting # blown away by this operation. sess.query(User).filter(User.age > 29).\ update({'age': User.age - 10}, synchronize_session='evaluate') for x in (john, jack, jill, jane): assert not sess.is_modified(x) eq_([john.age, jack.age, jill.age, jane.age], [25,37,29,27]) john.age = 25 assert john in sess.dirty assert jack in sess.dirty assert jill not in sess.dirty assert not sess.is_modified(john) assert not sess.is_modified(jack) def test_update_changes_with_autoflush(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() john.age = 50 jack.age = 37 sess.query(User).filter(User.age > 29).\ update({'age': User.age - 10}, synchronize_session='evaluate') for x in (john, jack, jill, jane): assert not sess.is_modified(x) eq_([john.age, jack.age, jill.age, jane.age], [40, 27, 29, 27]) john.age = 25 assert john in sess.dirty assert jack not in sess.dirty assert jill not in sess.dirty assert sess.is_modified(john) assert not sess.is_modified(jack) def test_update_with_expire_strategy(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).filter(User.age > 29).\ update({'age': User.age - 10}, synchronize_session='fetch') eq_([john.age, jack.age, jill.age, jane.age], [25,37,29,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,37,29,27])) @testing.fails_if(lambda: not testing.db.dialect.supports_sane_rowcount) def test_update_returns_rowcount(self): User = self.classes.User sess = Session() rowcount = sess.query(User).filter(User.age > 29).update({'age': User.age + 0}) eq_(rowcount, 2) rowcount = sess.query(User).filter(User.age > 29).update({'age': User.age - 10}) eq_(rowcount, 2) @testing.fails_if(lambda: not testing.db.dialect.supports_sane_rowcount) def test_delete_returns_rowcount(self): User = self.classes.User sess = Session() rowcount = sess.query(User).filter(User.age > 26).\ delete(synchronize_session=False) eq_(rowcount, 3) def test_update_all(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).update({'age': 42}, synchronize_session='evaluate') eq_([john.age, jack.age, jill.age, jane.age], [42,42,42,42]) eq_(sess.query(User.age).order_by(User.id).all(), zip([42,42,42,42])) def test_delete_all(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).delete(synchronize_session='evaluate') assert not (john in sess or jack in sess or jill in sess or jane in sess) eq_(sess.query(User).count(), 0) def test_autoflush_before_evaluate_update(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() john.name = 'j2' sess.query(User).filter_by(name='j2').\ update({'age':42}, synchronize_session='evaluate') eq_(john.age, 42) def test_autoflush_before_fetch_update(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() john.name = 'j2' sess.query(User).filter_by(name='j2').\ update({'age':42}, synchronize_session='fetch') eq_(john.age, 42) def test_autoflush_before_evaluate_delete(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() john.name = 'j2' sess.query(User).filter_by(name='j2').\ delete( synchronize_session='evaluate') assert john not in sess def test_autoflush_before_fetch_delete(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() john.name = 'j2' sess.query(User).filter_by(name='j2').\ delete( synchronize_session='fetch') assert john not in sess def test_evaluate_before_update(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() sess.expire(john, ['age']) # eval must be before the update. otherwise # we eval john, age has been expired and doesn't # match the new value coming in sess.query(User).filter_by(name='john').filter_by(age=25).\ update({'name':'j2', 'age':40}, synchronize_session='evaluate') eq_(john.name, 'j2') eq_(john.age, 40) def test_fetch_before_update(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() sess.expire(john, ['age']) sess.query(User).filter_by(name='john').filter_by(age=25).\ update({'name':'j2', 'age':40}, synchronize_session='fetch') eq_(john.name, 'j2') eq_(john.age, 40) def test_evaluate_before_delete(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() sess.expire(john, ['age']) sess.query(User).filter_by(name='john').\ filter_by(age=25).\ delete( synchronize_session='evaluate') assert john not in sess def test_fetch_before_delete(self): User = self.classes.User sess = Session() john = sess.query(User).filter_by(name='john').one() sess.expire(john, ['age']) sess.query(User).filter_by(name='john').\ filter_by(age=25).\ delete( synchronize_session='fetch') assert john not in sess class UpdateDeleteRelatedTest(fixtures.MappedTest): @classmethod def define_tables(cls, metadata): Table('users', metadata, Column('id', Integer, primary_key=True, test_needs_autoincrement=True), Column('name', String(32)), Column('age', Integer)) Table('documents', metadata, Column('id', Integer, primary_key=True, test_needs_autoincrement=True), Column('user_id', None, ForeignKey('users.id')), Column('title', String(32))) @classmethod def setup_classes(cls): class User(cls.Comparable): pass class Document(cls.Comparable): pass @classmethod def insert_data(cls): users = cls.tables.users users.insert().execute([ dict(id=1, name='john', age=25), dict(id=2, name='jack', age=47), dict(id=3, name='jill', age=29), dict(id=4, name='jane', age=37), ]) documents = cls.tables.documents documents.insert().execute([ dict(id=1, user_id=1, title='foo'), dict(id=2, user_id=1, title='bar'), dict(id=3, user_id=2, title='baz'), ]) @classmethod def setup_mappers(cls): documents, Document, User, users = (cls.tables.documents, cls.classes.Document, cls.classes.User, cls.tables.users) mapper(User, users) mapper(Document, documents, properties={ 'user': relationship(User, lazy='joined', backref=backref('documents', lazy='select')) }) def test_update_with_eager_relationships(self): Document = self.classes.Document sess = Session() foo,bar,baz = sess.query(Document).order_by(Document.id).all() sess.query(Document).filter(Document.user_id == 1).\ update({'title': Document.title+Document.title}, synchronize_session='fetch') eq_([foo.title, bar.title, baz.title], ['foofoo','barbar', 'baz']) eq_(sess.query(Document.title).order_by(Document.id).all(), zip(['foofoo','barbar', 'baz'])) def test_update_with_explicit_joinedload(self): User = self.classes.User sess = Session() john,jack,jill,jane = sess.query(User).order_by(User.id).all() sess.query(User).options(joinedload(User.documents)).filter(User.age > 29).\ update({'age': User.age - 10}, synchronize_session='fetch') eq_([john.age, jack.age, jill.age, jane.age], [25,37,29,27]) eq_(sess.query(User.age).order_by(User.id).all(), zip([25,37,29,27])) def test_delete_with_eager_relationships(self): Document = self.classes.Document sess = Session() sess.query(Document).filter(Document.user_id == 1).\ delete(synchronize_session=False) eq_(sess.query(Document.title).all(), zip(['baz'])) class ExpressionUpdateTest(fixtures.MappedTest): @classmethod def define_tables(cls, metadata): data = Table('data', metadata, Column('id', Integer, primary_key=True, test_needs_autoincrement=True), Column('counter', Integer, nullable=False, default=0) ) @classmethod def setup_classes(cls): class Data(cls.Comparable): pass @classmethod def setup_mappers(cls): data = cls.tables.data mapper(cls.classes.Data, data, properties={'cnt':data.c.counter}) @testing.provide_metadata def test_update_attr_names(self): Data = self.classes.Data d1 = Data() sess = Session() sess.add(d1) sess.commit() eq_(d1.cnt, 0) sess.query(Data).update({Data.cnt:Data.cnt + 1}) sess.flush() eq_(d1.cnt, 1) sess.query(Data).update({Data.cnt:Data.cnt + 1}, 'fetch') sess.flush() eq_(d1.cnt, 2) sess.close()

32.93945

93

0.572527

2,282

17,952

4.38475

0.087642

0.06656

0.087048

0.06646

0.798121

0.748051

0.73406

0.722367

0.693484

0.677693

0

0.02331

0.283088

17,952

544

94

33

0.754157

0.011754

0

0.658915

0

0.040771

0

0.077519

1

0.103359

false

0.010336

0.01292

0

0.134367

0

null

0

1

0

1

0

null

0

4

35349b8577f3085c779179bf350678a96b5840bf

64

py

Python

pitstop/backends/__init__.py

darvid/pitstop

517fd3631b437bc5591cea10aacbecde7d21e9ac

[ "MIT" ]

4

2018-12-13T12:15:58.000Z

2021-01-17T09:26:09.000Z

pitstop/backends/__init__.py

darvid/pitstop

517fd3631b437bc5591cea10aacbecde7d21e9ac

[ "MIT" ]

null

pitstop/backends/__init__.py

darvid/pitstop

517fd3631b437bc5591cea10aacbecde7d21e9ac

[ "MIT" ]

1

2019-05-03T09:29:02.000Z

"""Provides read-only interfaces to configuration backends."""

32

63

0.765625

7

64

7

1

0

0.109375

64

1

64

0.859649

0.875

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

353671a03b7f92abe65b3c7cefe7954accd870de

99

py

Python

actionlab/experiment/balance.py

danjgale/action-lab

ab4016b46dcd10d4c75712f7a5eef6e88ca69b04

[ "MIT" ]

null

actionlab/experiment/balance.py

danjgale/action-lab

ab4016b46dcd10d4c75712f7a5eef6e88ca69b04

[ "MIT" ]

null

actionlab/experiment/balance.py

danjgale/action-lab

ab4016b46dcd10d4c75712f7a5eef6e88ca69b04

[ "MIT" ]

null

"""Module for counterbalancing and shuffling trial types, conditions, experimental blocks, etc. """

33

69

0.787879

11

99

7.090909

1

0

0.111111

99

3

70

33

0.886364

0.929293

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

104c839c97d6583b09dc59183a4e031f70802da2

120

py

Python

enthought/contexts/adapter/unit_converter_functions.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/contexts/adapter/unit_converter_functions.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/contexts/adapter/unit_converter_functions.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from codetools.contexts.adapter.unit_converter_functions import *

30

65

0.866667

15

120

6.466667

0.8

0

0.091667

120

3

66

40

0.889908

0.1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

106f7adf84e4436de3b852034b2d2bf770a9ece7

159

py

Python

flask_stormpath/errors.py

lavyaKoli/stormpath-flask

ca79162302e34085bef774751288d2ac95479c0d

[ "Apache-2.0" ]

99

2015-01-04T06:27:10.000Z

2021-07-27T11:06:15.000Z

flask_stormpath/errors.py

lavyaKoli/stormpath-flask

ca79162302e34085bef774751288d2ac95479c0d

[ "Apache-2.0" ]

65

2015-01-05T17:34:27.000Z

2019-01-21T09:59:01.000Z

flask_stormpath/errors.py

lavyaKoli/stormpath-flask

ca79162302e34085bef774751288d2ac95479c0d

[ "Apache-2.0" ]

37

2015-03-20T16:24:44.000Z

2020-10-01T16:12:30.000Z

"""Custom errors.""" class ConfigurationError(Exception): """ This exception is raised if a user has misconfigured Flask-Stormpath. """ pass

17.666667

73

0.666667

17

159

6.235294

0.941176

0

0.220126

159

8

74

19.875

0.854839

0.528302

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

107164b332bac9308752bb0a131dd912a81a7081

35

py

Python

ticdat/testing/__init__.py

adampkehoe/ticdat

bc9c9f6f407de0312f87e0e8aa8b247caa92ef3e

[ "BSD-2-Clause" ]

15

2019-05-16T13:22:50.000Z

2022-02-18T08:07:10.000Z

ticdat/testing/__init__.py

adampkehoe/ticdat

bc9c9f6f407de0312f87e0e8aa8b247caa92ef3e

[ "BSD-2-Clause" ]

86

2019-03-13T16:18:07.000Z

2022-02-07T22:13:15.000Z

ticdat/testing/__init__.py

adampkehoe/ticdat

bc9c9f6f407de0312f87e0e8aa8b247caa92ef3e

[ "BSD-2-Clause" ]

9

2020-05-06T15:13:32.000Z

2022-01-26T15:30:44.000Z

""" holds testing code utilites """

11.666667

27

0.685714

4

35

6

1

0

0.142857

35

3

28

11.666667

0.8

0.771429

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

109beed58b8f90a0572aa828e13489fc3e178bc9

80

py

Python

Animal.py

juliaviolet/Google_IT_Python_Crash_Course

e48f37f41000bb7fa6cfca197a964b792125067f

[ "MIT" ]

null

Animal.py

juliaviolet/Google_IT_Python_Crash_Course

e48f37f41000bb7fa6cfca197a964b792125067f

[ "MIT" ]

null

Animal.py

juliaviolet/Google_IT_Python_Crash_Course

e48f37f41000bb7fa6cfca197a964b792125067f

[ "MIT" ]

null

animal = "Hippopotamus" print(animal[3:6]) print(animal[-5]) print(animal[10:])

16

23

0.7

12

80

4.666667

0.583333

0.589286

0

0.067568

0.075

80

4

24

20

0.689189

0

0.15

0

1

0

false

0

0.75

1

0

null

1

0

1

0

null

0

1

0

4

109c7fd3c15716c3ecee3cbdb28786d31cebd401

179

py

Python

encrypt_decrypt_fields/__init__.py

barseghyanartur/encrypt-decrypt-fields

4737883d7eea8baf3e96e982f8d7a17f0d4e4a6b

[ "MIT" ]

9

2021-06-26T01:26:27.000Z

2022-01-01T13:56:56.000Z

encrypt_decrypt_fields/__init__.py

barseghyanartur/encrypt-decrypt-fields

4737883d7eea8baf3e96e982f8d7a17f0d4e4a6b

[ "MIT" ]

null

encrypt_decrypt_fields/__init__.py

barseghyanartur/encrypt-decrypt-fields

4737883d7eea8baf3e96e982f8d7a17f0d4e4a6b

[ "MIT" ]

3

2021-06-26T01:26:28.000Z

2021-12-14T23:11:03.000Z

from .crypto import Crypto # noqa from .alchemy_fields import EncryptedAlchemyBinaryField # noqa from .django_fields import EncryptedBinaryField # noqa __version__ = '1.1.3'

29.833333

63

0.793296

21

179

6.47619

0.571429

0.117647

0

0.019608

0.145251

179

5

64

35.8

0.869281

0.078212

0

0.031056

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

52c578d89fbb94731b16407075d37caf257a20ea

288

py

Python

rpcparse.py

eternal-flame-AD/zjzk_rpcrelay

dd3a16b330efd858f0d95049966ecd151230ef99

[ "Apache-2.0" ]

null

rpcparse.py

eternal-flame-AD/zjzk_rpcrelay

dd3a16b330efd858f0d95049966ecd151230ef99

[ "Apache-2.0" ]

null

rpcparse.py

eternal-flame-AD/zjzk_rpcrelay

dd3a16b330efd858f0d95049966ecd151230ef99

[ "Apache-2.0" ]

null

def parsenum(s,num): result=0 #num*=2 for i in range(0,num): result=result*16+s[i] return result def getint(s): return parsenum(s,4) def getshort(s): return parsenum(s,2) def getstring(s): return str(s) def getbool(s): return (s==1) or (s==b"\x01")

20.571429

33

0.597222

51

288

3.372549

0.45098

0.162791

0.174419

0.186047

0

0.045455

0.236111

288

14

33

20.571429

0.736364

0.020833

0

0.014184

0

1

0.384615

false

0

0.307692

0.769231

0

null

0

1

0

null

0

1

0

1

0

4

52ef0285866c3140b641cb100abab29cfded65cc

945

py

Python

horizon/test/django_pyscss_fix/__init__.py

hemantsonawane95/horizon-apelby

01a5e72219aeca8c1451701ee85e232ed0618751

[ "Apache-2.0" ]

930

2015-01-04T08:06:03.000Z

2022-03-13T18:47:13.000Z

horizon/test/django_pyscss_fix/__init__.py

hemantsonawane95/horizon-apelby

01a5e72219aeca8c1451701ee85e232ed0618751

[ "Apache-2.0" ]

26

2015-02-23T16:37:31.000Z

2020-07-02T08:37:41.000Z

horizon/test/django_pyscss_fix/__init__.py

hemantsonawane95/horizon-apelby

01a5e72219aeca8c1451701ee85e232ed0618751

[ "Apache-2.0" ]

1,040

2015-01-01T18:48:28.000Z

2022-03-19T08:35:18.000Z

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import sys import django import six import six.moves # Temporary workaround for a situation that django-pyscss depends on # a vendored version of six, django.utils.six which was dropped in Django 3.0. # TODO(amotoki): Drop the workaround once django-pyscss supports Django 3.0+. if django.VERSION[0] >= 3: sys.modules['django.utils.six'] = six sys.modules['django.utils.six.moves'] = six.moves

37.8

78

0.759788

151

945

4.754967

0.549669

0.083565

0.058496

0.044568

0.066852

0

0.012594

0.159788

945

24

79

39.375

0.891688

0.779894

0

0.196891

0.11399

0

0.041667

0

1

0

true

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

1

0

1

0

4

5e04c6696eb0ec53959d177633f07e3b6893b1be

542

py

Python

dateutil.py

chenjianlong/my-gist

7c6444c7d118fb6a1fec1c2fa1fe80451e94e509

[ "Unlicense" ]

null

dateutil.py

chenjianlong/my-gist

7c6444c7d118fb6a1fec1c2fa1fe80451e94e509

[ "Unlicense" ]

null

dateutil.py

chenjianlong/my-gist

7c6444c7d118fb6a1fec1c2fa1fe80451e94e509

[ "Unlicense" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8:et """Date and Time util """ __author__ = ["Jianlong Chen <jianlong99@gmail.com>"] __date__ = "2013-07-17" import datetime def year(): return datetime.datetime.strftime(datetime.datetime.now(), '%Y') def date_time(): return datetime.datetime.strftime(datetime.datetime.now(), '%Y-%m-%d %H:%M:%S') def date(): return datetime.datetime.strftime(datetime.datetime.now(), '%Y-%m-%d') def hour(): return datetime.datetime.strftime(datetime.datetime.now(), '%H')

24.636364

83

0.669742

76

542

4.657895

0.473684

0.361582

0.248588

0.338983

0.573446

0.435028

0.293785

0

0.025263

0.123616

542

21

84

25.809524

0.72

0.110701

0

0.165198

0.048458

0

null

0

0.090909

null

0

null

1

0

null

0

1

0

4

5e1023e9abaef5d844dacf010c876f58b9057518

255

py

Python

src/custom/test.py

CheshireCaat/BAS.Python

a15f67c847733cbe88ae4b4850e6939b8686ae88

[ "MIT" ]

4

2019-08-27T12:24:27.000Z

2021-06-01T05:24:06.000Z

src/custom/test.py

CheshireCaat/BAS.Python

a15f67c847733cbe88ae4b4850e6939b8686ae88

[ "MIT" ]

null

src/custom/test.py

CheshireCaat/BAS.Python

a15f67c847733cbe88ae4b4850e6939b8686ae88

[ "MIT" ]

null

def invoke(_bas_vars, _bas_api, _bas_print): bas_print = _bas_print bas_vars = _bas_vars bas_api = _bas_api from src.testa import testa as test_a from src.testb import testb as test_b bas_print(test_a()) bas_print(test_b())

21.25

44

0.701961

44

255

3.590909

0.340909

0.253165

0.189873

0.164557

0.35443

0

0.227451

255

11

45

23.181818

0.80203

0

1

0.125

false

0

0.25

0

0.375

0.5

0

null

1

0

null

0

1

0

4

eab3a1d3d3b0d1d798ccf43a0f589d5650ba29f4

165

py

Python

untitled5.py

rahulneal/InterctiveMap

c81bc15dbe2b4aaedf46c0698f9772e38a60e843

[ "MIT" ]

null

untitled5.py

rahulneal/InterctiveMap

c81bc15dbe2b4aaedf46c0698f9772e38a60e843

[ "MIT" ]

null

untitled5.py

rahulneal/InterctiveMap

c81bc15dbe2b4aaedf46c0698f9772e38a60e843

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Jan 28 01:14:13 2020 @author: ghanta """ import webbrowser webbrowser.open('http://localhost:1000/CrimeReport/addtodb')

18.333333

61

0.690909

23

165

4.956522

0.956522

0

0.118056

0.127273

165

9

61

18.333333

0.673611

0.454545

0

0.493976

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

eab4b11429cd8affbb33aef88fe8199668b7107a

67

py

Python

rime/plugins/judge_system/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

31

2017-02-20T05:04:06.000Z

2022-01-21T09:05:17.000Z

rime/plugins/judge_system/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

62

2017-02-14T10:10:06.000Z

2021-05-17T00:00:01.000Z

rime/plugins/judge_system/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

21

2017-02-13T16:41:42.000Z

2021-08-19T00:34:49.000Z

#!/usr/bin/python """Submodules for supporting judge systems. """

13.4

43

0.701493

8

67

5.875

1

0

0.119403

67

4

44

16.75

0.79661

0.850746

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

ead6b50c31b97afb22d854e061d42a9aa6c2fa49

120

py

Python

practice0/pattern_match.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

practice0/pattern_match.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

practice0/pattern_match.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

#!/usr/bin/env python import re match = re.match('Hello[ \t].(.*)world', 'Hello Python world') print match.group(1)

20

65

0.65

19

120

4.105263

0.684211

0.179487

0

0.009709

0.141667

120

5

66

24

0.747573

0.166667

0

0.414141

0

null

0

0.333333

null

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

d808d35b692a866728c232df07f9479109a6e1c0

5,043

py

Python

tests/defxmlschema/test_chapter10.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/defxmlschema/test_chapter10.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/defxmlschema/test_chapter10.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

import os from pathlib import Path from click.testing import CliRunner from tests.conftest import load_class from tests.conftest import validate_bindings from xsdata import cli os.chdir(Path(__file__).parent.parent.parent) def test_integration(): schema = Path("tests/fixtures/defxmlschema/chapter10/chapter10.xsd") package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [str(schema), "--package", package]) if result.exception: raise result.exception clazz = load_class(result.output, "Sizes") validate_bindings(schema, clazz) def test_example1001(): schema = "tests/fixtures/defxmlschema/chapter10/example1001.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1002(): schema = "tests/fixtures/defxmlschema/chapter10/example1002.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1003(): schema = "tests/fixtures/defxmlschema/chapter10/example1003.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1004(): schema = "tests/fixtures/defxmlschema/chapter10/example1004.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1005(): schema = "tests/fixtures/defxmlschema/chapter10/example1005.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1007(): schema = "tests/fixtures/defxmlschema/chapter10/example1007.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1009(): schema = "tests/fixtures/defxmlschema/chapter10/example1009.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1010(): schema = "tests/fixtures/defxmlschema/chapter10/example1010.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1012(): schema = "tests/fixtures/defxmlschema/chapter10/example1012.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1013(): schema = "tests/fixtures/defxmlschema/chapter10/example1013.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1014(): schema = "tests/fixtures/defxmlschema/chapter10/example1014.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1015(): schema = "tests/fixtures/defxmlschema/chapter10/example1015.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1016(): schema = "tests/fixtures/defxmlschema/chapter10/example1016.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example1018(): schema = "tests/fixtures/defxmlschema/chapter10/example1018.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception def test_example10211(): schema = "tests/fixtures/defxmlschema/chapter10/example10211.xsd" package = "tests.fixtures.defxmlschema.chapter10" runner = CliRunner() result = runner.invoke(cli, [schema, "--package", package]) if result.exception: raise result.exception

28.817143

72

0.707515

526

5,043

6.737643

0.10076

0.117381

0.225734

0.306998

0.815463

0.646163

0.630079

0

0.045095

0.17331

5,043

174

73

28.982759

0.804989

0

0.652893

0

0.314892

0.285346

0

1

0.132231

false

0

0.049587

0

0.181818

0

null

0

1

0

1

0

null

0

4

d82a8e0b5b960274f285fc74a6fb713f8dff3127

241

py

Python

tests/test.py

palewire/nws-wwa

0c9f65443a3b98febbb2d3ec212d5b83beb7cfe5

[ "MIT" ]

null

tests/test.py

palewire/nws-wwa

0c9f65443a3b98febbb2d3ec212d5b83beb7cfe5

[ "MIT" ]

4

2021-10-04T23:30:31.000Z

2021-10-04T23:32:07.000Z

tests/test.py

palewire/nws-wwa

0c9f65443a3b98febbb2d3ec212d5b83beb7cfe5

[ "MIT" ]

null

import pytest from nws_wwa import get_all, get_hazards, get_warnings @pytest.mark.vcr() def test_all(): get_all() @pytest.mark.vcr() def test_hazards(): get_hazards() @pytest.mark.vcr() def test_warnings(): get_warnings()

12.684211

54

0.705394

36

241

4.444444

0.361111

0.1875

0.24375

0.3

0.375

0

0.161826

241

18

55

13.388889

0.792079

0

0.272727

0

1

0.272727

true

0

0.181818

0

0.454545

0

null

0

1

0

null

0

1

0

4

dc1e08ac28e02d91118ddf166da29b27f9487b68

13,031

py

Python

custom/icds_reports/tests/agg_tests/reports/test_bihar_api_mother_details.py

tobiasmcnulty/commcare-hq

234aa1fba98a96de1b625bbd70b2066fc877eed1

[ "BSD-3-Clause" ]

1

2020-07-14T13:00:23.000Z

custom/icds_reports/tests/agg_tests/reports/test_bihar_api_mother_details.py

tobiasmcnulty/commcare-hq

234aa1fba98a96de1b625bbd70b2066fc877eed1

[ "BSD-3-Clause" ]

null

custom/icds_reports/tests/agg_tests/reports/test_bihar_api_mother_details.py

tobiasmcnulty/commcare-hq

234aa1fba98a96de1b625bbd70b2066fc877eed1

[ "BSD-3-Clause" ]

null

import datetime from datetime import date from django.test import TestCase from mock import patch from custom.icds_reports.reports.bihar_api import get_mother_details from custom.icds_reports.tasks import update_bihar_api_table @patch( 'custom.icds_reports.utils.aggregation_helpers.distributed.bihar_api_demographics.BiharApiDemographicsHelper.bihar_state_id', 'st1') class BiharAPIMotherTest(TestCase): def test_pregnant_mother_current_month_positive_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == 'c7c368d4-e554-4e12-a62f-87403453a515': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 6, 1), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': 'c7c368d4-e554-4e12-a62f-87403453a515', 'edd': datetime.date(2017, 8, 31), 'hb': None, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 4, 'is_pregnant': 1, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 11, 24), 'married': None, 'maternal_complications': None, 'person_id': '3c9658d5-e522-4f2c-b636-3ed194d89cb1', 'preg_reg_date': datetime.date(2017, 4, 12), 'total_ifa_tablets_received': 10, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_pregnant_mother_current_month_negative_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == 'f3d9aeb7-d3f5-49d1-aa78-4f33aa5cee77': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 6, 1), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': 'f3d9aeb7-d3f5-49d1-aa78-4f33aa5cee77', 'edd': datetime.date(2017, 7, 9), 'hb': None, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 4, 'is_pregnant': 1, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 10, 2), 'married': None, 'maternal_complications': None, 'person_id': 'e94393fd-5007-48f3-95fb-fc1c7f6d3bce', 'preg_reg_date': datetime.date(2017, 4, 12), 'total_ifa_tablets_received': -10, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_non_pregnant_mother_current_month_negative_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == '10a53900-f65e-46b7-ae0c-f32a208c0677': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 3, 20), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': '10a53900-f65e-46b7-ae0c-f32a208c0677', 'edd': datetime.date(2017, 8, 8), 'hb': None, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 2, 'is_pregnant': None, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 11, 1), 'married': None, 'maternal_complications': None, 'person_id': '177bdbb3-d4db-4077-9720-86a99b12ba25', 'preg_reg_date': None, 'total_ifa_tablets_received': -90, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_pregnant_mother_past_month_negative_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == '9bd35459-6a3c-43ad-a144-0c0013b4272e': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 6, 1), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': '9bd35459-6a3c-43ad-a144-0c0013b4272e', 'edd': datetime.date(2017, 8, 31), 'hb': 2, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 4, 'is_pregnant': 1, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 11, 24), 'married': None, 'maternal_complications': None, 'person_id': '8c5f8d3f-c6cd-4737-a994-2e494aeda05a', 'preg_reg_date': datetime.date(2017, 4, 12), 'total_ifa_tablets_received': -98, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_non_pregnant_mother_past_month_negative_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == 'a87c92ec-d5a6-4dae-a8a1-14e7abf31441': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 5, 2), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': 'a87c92ec-d5a6-4dae-a8a1-14e7abf31441', 'edd': datetime.date(2017, 7, 12), 'hb': None, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 2, 'is_pregnant': None, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 10, 5), 'married': None, 'maternal_complications': None, 'person_id': 'c013cab2-e924-43f6-9a2d-cff137774229', 'preg_reg_date': None, 'total_ifa_tablets_received': -99, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_pregnant_mother_past_month_positive_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == '08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5': ccs_case_details = case break self.assertEqual( { "household_id": 'b6a55583-e07d-4367-ae5c-f3ff22f85271', "person_id": "cc75916b-a71e-4c4d-a537-5c7bef95b12f", "ccs_case_id": "08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5", "married": 1, "husband_name": "test_husband_name", "husband_id": "b1e7f7d8-149e-4ffc-a876-2a70a469edbc", "last_preg_year": 12, "is_pregnant": 1, "preg_reg_date": datetime.date(2017, 4, 12), "tt_1": datetime.date(2017, 5, 1), 'tt_2': datetime.date(2017, 5, 2), "tt_booster": datetime.date(2017, 5, 3), "hb": 2, "add": datetime.date(2017, 6, 1), "last_preg_tt": None, "lmp": datetime.date(2016, 10, 2), "anc_1": datetime.date(2016, 10, 8), "anc_2": datetime.date(2016, 11, 7), "anc_3": datetime.date(2016, 12, 7), "anc_4": datetime.date(2017, 1, 6), "edd": datetime.date(2017, 7, 9), "total_ifa_tablets_received": 10, "ifa_consumed_7_days": 4, "causes_for_ifa": "side_effects", "maternal_complications": 'Discharge' }, ccs_case_details ) def test_non_pregnant_mother_past_month_positive_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == 'f77d2181-5850-4675-9abe-2276acca4198': ccs_case_details = case break self.assertEqual( { 'add': datetime.date(2017, 6, 1), 'anc_1': None, 'anc_2': None, 'anc_3': None, 'anc_4': None, 'causes_for_ifa': None, 'ccs_case_id': 'f77d2181-5850-4675-9abe-2276acca4198', 'edd': datetime.date(2017, 7, 9), 'hb': None, 'household_id': None, 'husband_id': None, 'husband_name': None, 'ifa_consumed_7_days': 4, 'is_pregnant': 1, 'last_preg_tt': None, 'last_preg_year': None, 'lmp': datetime.date(2016, 10, 2), 'married': None, 'maternal_complications': None, 'person_id': 'ef12d6ce-a9af-4cf5-8459-0286432c5465', 'preg_reg_date': datetime.date(2017, 4, 12), 'total_ifa_tablets_received': None, 'tt_1': None, 'tt_2': None, 'tt_booster': None }, ccs_case_details ) def test_non_pregnant_mother_current_month_positive_ifa(self): data, count = get_mother_details( month=date(2017, 5, 1).strftime("%Y-%m-%d"), state_id='st1', last_ccs_case_id='' ) for case in data: if case['ccs_case_id'] == 'f491263a-4846-4ffd-a64d-a6653c03dd03': ccs_case_details = case break self.assertEqual( { "household_id": None, "person_id": "1d3e45d5-bd58-487c-9f93-7da2cf67c8d7", "ccs_case_id": "f491263a-4846-4ffd-a64d-a6653c03dd03", "married": None, "husband_name": None, "husband_id": None, "last_preg_year": 14, "is_pregnant": None, "preg_reg_date": None, "tt_1": datetime.date(2017, 5, 31), 'tt_2': datetime.date(2017, 6, 1), "tt_booster": datetime.date(2017, 6, 2), "hb": None, "add": datetime.date(2017, 3, 20), "last_preg_tt": None, "lmp": datetime.date(2016, 11, 1), "anc_1": datetime.date(2016, 11, 7), "anc_2": datetime.date(2016, 12, 7), "anc_3": datetime.date(2017, 1, 6), "anc_4": datetime.date(2017, 2, 5), "edd": datetime.date(2017, 8, 8), "total_ifa_tablets_received": 100, "ifa_consumed_7_days": 2, "causes_for_ifa": "dont_remember", "maternal_complications": "Discharge" }, ccs_case_details )

36.29805

129

0.476479

1,371

13,031

4.238512

0.143691

0.088797

0.082602

0.015488

0.838582

0.793667

0.738943

0.714679

0.593874

0.577009

0

0.122909

0.40373

13,031

358

130

36.399441

0.624968

0

0.60303

0

0.247487

0.110659

0

0.024242

1

0.024242

false

0

0.018182

0

0.045455

0

null

0

1

0

null

0

4

dc1ec478a120a2478735ace34d0d4d1cf70d39ea

998

py

Python

bronze/libs/slack/__init__.py

HumanCellAtlas/bronze-chime

4915813035b79f3d4f3add087d122880cd71b6ad

[ "BSD-3-Clause" ]

null

bronze/libs/slack/__init__.py

HumanCellAtlas/bronze-chime

4915813035b79f3d4f3add087d122880cd71b6ad

[ "BSD-3-Clause" ]

null

bronze/libs/slack/__init__.py

HumanCellAtlas/bronze-chime

4915813035b79f3d4f3add087d122880cd71b6ad

[ "BSD-3-Clause" ]

null

class User: """TODO: potentially switch to slack official api client: https://github.com/slackapi/python-slackclient""" def __init__(self, slack_id: str, slack_name: str = None, **kwargs): self.slack_id, self.slack_name = slack_id, slack_name for k, v in kwargs.items(): setattr(self, k, v) def valid_name(self) -> bool: return self.slack_name != '' def valid_id(self) -> bool: return len(self.slack_id) == 9 and self.slack_id.startswith('U') @property def tag(self) -> str: return f"<@{self.slack_id}>" def __str__(self): return f"{self.slack_id}" def __repr__(self): return self.__str__() def __hash__(self): return hash((self.slack_id, self.slack_name)) def __eq__(self, other) -> bool: return self.slack_id == other.slack_id if isinstance(other, User) else False def __json__(self): return {'slack_name': self.slack_name, 'slack_id': self.slack_id}

30.242424

111

0.630261

140

998

4.142857

0.357143

0.201724

0.17069

0.082759

0.201724

0.155172

0

0.001314

0.237475

998

32

112

31.1875

0.760841

0.101202

0

0.058361

0

0.03125

0

1

0.409091

false

0

0.363636

0.818182

0

null

1

0

null

0

1

0

1

0

1

0

4

dc20c843551381a8f6b8f6ecdf0f5e3bb26254b5

452

py

Python

two_point_clustering/_nbdev.py

saitosmst/hetdex_cosmology

e0dc86f48e048f1ce2b046b6513a24a8809e55e3

[ "Apache-2.0" ]

null

two_point_clustering/_nbdev.py

saitosmst/hetdex_cosmology

e0dc86f48e048f1ce2b046b6513a24a8809e55e3

[ "Apache-2.0" ]

null

two_point_clustering/_nbdev.py

saitosmst/hetdex_cosmology

e0dc86f48e048f1ce2b046b6513a24a8809e55e3

[ "Apache-2.0" ]

null

# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"Field_on_grid": "field_on_grid.ipynb", "NTHREAD": "field_on_grid.ipynb", "EPS": "field_on_grid.ipynb"} modules = ["field_on_grid.py"] doc_url = "https://{saitosmst}.github.io/two_point_clustering/" git_url = "https://github.com/{saitosmst}/two_point_clustering/tree/{branch}/" def custom_doc_links(name): return None

28.25

78

0.701327

64

452

4.5625

0.546875

0.119863

0.188356

0.164384

0

0.128319

452

15

79

30.133333

0.741117

0.079646

0

1

0

0.599034

0

1

0.125

false

0

0.125

0

null

0

1

0

1

0

null

0

1

0

4