Code runing but giving a phython version error

=3.6

@@ -0,0 +1,5 @@
+Collecting package metadata (current_repodata.json): ...working... done
+Solving environment: ...working... done
+
+# All requested packages already installed.
+

=3.8

@@ -0,0 +1,5 @@
+Collecting package metadata (current_repodata.json): ...working... done
+Solving environment: ...working... done
+
+# All requested packages already installed.
+

albatross/atmos_ocean_data.py

@@ -53,7 +53,7 @@ def openDAPsst(version = '3b', debug = False, anomalies = True, **kwargs):
         'endyr'        : str(kwargs['endyr']),
         'nbox'         : str(kwargs['n_mon'])
             }
-    fp = os.getcwd() + '/DATA/nipa/SST/' + DLargs['startmon'] + DLargs['startyr'] + \
+    fp = os.getcwd() + '/tests/DATA/nipa/SST/' + DLargs['startmon'] + DLargs['startyr'] + \
         '_' + DLargs['endmon'] + DLargs['endyr'] + '_nbox_' + DLargs['nbox'] + '_version' + version
 
     fp = fp + '_anoms' if anomalies else fp + '_ssts'
@@ -249,7 +249,7 @@ def load_climdata(**kwargs):
 
     data = load_clim_file(kwargs['fp'])
     from numpy import where, arange, zeros, inf
-    from utils import slp_tf
+    from albatross.utils import slp_tf
     tran = slp_tf()
     startmon = int(tran[kwargs['months'][0]])
     startyr = kwargs['startyr']
@@ -271,7 +271,7 @@ def create_phase_index(debug = False, **kwargs):
     from numpy import sort
     index = load_clim_file(kwargs['fp'])
     from numpy import where, arange, zeros, inf
-    from utils import slp_tf
+    from albatross.utils import slp_tf
     tran = slp_tf()
     startmon = int(tran[kwargs['months'][0]])
     startyr = kwargs['startyr']
@@ -322,7 +322,7 @@ def create_phase_index2(**kwargs):
     from numpy import sort
     index = load_clim_file(kwargs['fp'])
     from numpy import where, arange, zeros, inf
-    from utils import slp_tf
+    from albatross.utils import slp_tf
     tran = slp_tf()
     startmon = int(tran[kwargs['months'][0]])
     startyr = kwargs['startyr']

albatross/processes/wps_drought.py

@@ -140,8 +140,8 @@ def _handler(request, response):
         import os 
         os.getcwd()
 
-        index_file = os.getcwd() + '/DATA/nao.txt'
-        clim_file = os.getcwd() + '/DATA/APGD_prcpComo.txt'
+        index_file = os.getcwd() + '/tests/DATA/nao.txt'
+        clim_file = os.getcwd() + '/tests/DATA/APGD_prcpComo.txt'
         filename = 'testComoNAO'
 
         # #### USER INPUT ####

albatross/simpleNIPA.py

@@ -74,7 +74,7 @@ def categorize(self, ncat = 3, hindcast = False):
     def bootcorr(    self, ntim = 1000, corrconf = 0.95, bootconf = 0.80,
                     debug = False, quick = True    ):
         from numpy import meshgrid, zeros, ma, isnan, linspace
-        from utils import vcorr, sig_test
+        from albatross.utils import vcorr, sig_test
 
         corrlevel = 1 - corrconf
 
@@ -176,7 +176,7 @@ def crossvalpcr(self, xval = True, debug = False):
         from scipy.stats import pearsonr as corr
         from scipy.stats import linregress
         from matplotlib import pyplot as plt
-        from utils import weightsst
+        from albatross.utils import weightsst
         predictand = self.clim_data
 
         if self.corr_grid.mask.sum() >= len(self.sst.lat) * len(self.sst.lon) - 4:

environment.yml

@@ -4,7 +4,7 @@ channels:
 - defaults
 dependencies:
 - pip
-- python>=3.10
+- python<=3.9
 - pywps>=4.5.2,<4.7
 - jinja2
 - click

tests/DATA/APGD_prcpComo.txt

@@ -0,0 +1,40 @@
+Euro4M-APGD precipitation
+1971 2008
+95.226	35.930	127.790	127.468	162.423	203.309	93.822	137.332	33.382	16.612	169.569	41.435
+48.927	115.246	122.129	129.420	142.797	226.182	151.137	77.518	142.531	63.702	42.835	67.318
+46.153	12.481	5.053	89.069	137.632	152.608	264.997	95.073	176.194	90.736	30.858	106.747
+48.317	108.903	73.587	89.787	89.436	175.453	88.954	128.426	133.620	68.831	124.109	8.603
+110.437	40.038	153.997	149.857	224.981	127.867	78.755	161.700	179.772	87.291	145.456	28.480
+14.924	17.108	10.057	93.623	70.053	48.737	158.221	160.130	387.019	411.765	185.090	53.118
+181.755	140.828	167.106	176.028	265.531	127.602	210.410	336.748	40.545	188.380	35.538	52.173
+153.205	132.935	77.381	136.874	180.313	178.748	171.688	101.978	28.620	109.979	10.377	93.102
+126.973	72.678	249.710	115.172	92.476	134.275	147.844	176.083	137.011	364.594	96.122	125.549
+70.573	2.569	92.457	7.658	146.324	194.656	169.753	64.745	24.826	317.907	46.779	8.318
+10.583	3.451	185.870	49.768	263.732	105.528	255.433	68.140	314.488	124.761	5.563	150.496
+13.694	16.873	67.324	10.968	161.610	169.832	138.749	241.060	145.522	178.166	193.200	103.386
+21.527	23.155	86.193	231.386	424.557	54.890	51.018	126.147	130.674	50.134	23.099	137.795
+23.109	62.927	114.459	79.984	342.036	117.017	26.257	100.641	282.852	136.035	89.421	74.597
+134.815	12.382	166.406	85.622	230.129	152.949	128.712	167.139	48.331	17.886	101.948	78.622
+127.681	33.298	39.447	413.692	148.237	63.273	89.703	212.505	65.168	13.424	44.432	14.442
+28.503	113.399	37.996	101.447	131.892	248.936	311.376	161.247	113.567	208.306	77.213	28.846
+118.577	71.571	50.157	67.942	216.741	147.943	123.725	161.294	108.990	234.706	11.320	40.418
+0.963	109.058	39.188	349.873	84.592	130.920	112.931	79.177	58.283	14.858	73.232	117.054
+37.187	60.259	11.844	149.471	84.301	232.845	64.359	75.406	63.811	181.481	141.049	61.699
+34.697	29.673	121.769	46.029	63.921	162.944	115.461	22.581	232.024	105.823	89.618	55.331
+33.330	21.608	97.108	138.643	99.120	214.265	149.265	149.947	161.033	201.727	46.041	96.966
+3.894	16.924	27.550	65.369	103.630	166.621	143.970	103.902	346.567	390.665	47.577	40.940
+156.998	74.934	24.801	69.552	170.012	78.765	170.359	223.494	370.706	122.088	227.792	29.811
+53.434	65.159	42.045	130.997	142.458	106.844	92.465	94.425	202.861	17.036	48.672	59.960
+101.421	26.059	20.688	47.768	150.465	140.773	160.135	261.506	30.117	145.984	299.818	70.883
+71.991	5.257	9.001	48.094	107.098	370.002	112.779	116.422	34.916	27.749	200.826	92.618
+47.861	24.635	5.744	230.682	84.201	156.262	161.709	80.572	211.325	185.692	18.640	12.388
+57.667	23.248	108.762	136.004	110.369	200.951	107.189	212.766	267.259	203.472	62.040	70.092
+10.702	17.325	81.841	212.112	169.970	76.792	239.096	162.169	131.692	340.436	418.749	99.158
+169.254	59.322	199.529	89.010	104.567	208.801	151.310	195.848	98.401	117.742	17.843	1.470
+16.099	70.170	81.018	50.838	316.097	146.066	133.307	163.538	80.940	103.960	565.230	42.782
+40.047	8.090	3.967	56.447	117.435	67.383	165.456	110.176	27.959	184.918	128.721	76.064
+23.306	63.757	49.177	86.121	111.065	46.958	124.200	121.355	46.806	237.756	100.597	43.004
+8.903	4.997	46.897	100.343	94.258	76.060	105.170	115.442	116.903	79.891	41.676	53.162
+30.556	54.985	69.430	75.176	80.300	48.278	141.497	161.672	113.196	116.924	46.570	121.010
+60.169	25.259	53.821	18.769	142.786	164.199	117.016	198.208	102.117	18.303	111.580	11.944
+101.642	30.685	51.710	213.930	187.928	163.890	258.642	122.367	172.753	165.087	195.846	108.097