diff --git a/Pipfile b/Pipfile
index 3e8cad17..85a607db 100644
--- a/Pipfile
+++ b/Pipfile
@@ -7,7 +7,7 @@ name = "pypi"
 [packages]
 matplotlib = "*"
 urllib3 = "*"
-pint = "==0.8.1"
+pint = "*"
 pandas = "*"
 scipy = "*"
 
diff --git a/Pipfile.lock b/Pipfile.lock
index 59deb6a1..61ec20d5 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "54848616a8da08a318fa942c5ed74ed5d067ebb09f77bdb30f228b7568d01ec9"
+            "sha256": "021335e1e4c104ffbb8bdcec7948b81f893d4fc802451eff36c15cdf8694a8a1"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -23,183 +23,288 @@
             ],
             "version": "==0.10.0"
         },
+        "importlib-metadata": {
+            "hashes": [
+                "sha256:77a540690e24b0305878c37ffd421785a6f7e53c8b5720d211b211de8d0e95da",
+                "sha256:cefa1a2f919b866c5beb7c9f7b0ebb4061f30a8a9bf16d609b000e2dfaceb9c3"
+            ],
+            "markers": "python_version < '3.8'",
+            "version": "==2.0.0"
+        },
+        "importlib-resources": {
+            "hashes": [
+                "sha256:7b51f0106c8ec564b1bef3d9c588bc694ce2b92125bbb6278f4f2f5b54ec3592",
+                "sha256:a3d34a8464ce1d5d7c92b0ea4e921e696d86f2aa212e684451cb1482c8d84ed5"
+            ],
+            "markers": "python_version < '3.7'",
+            "version": "==3.3.0"
+        },
         "kiwisolver": {
             "hashes": [
-                "sha256:05b5b061e09f60f56244adc885c4a7867da25ca387376b02c1efc29cc16bcd0f",
-                "sha256:210d8c39d01758d76c2b9a693567e1657ec661229bc32eac30761fa79b2474b0",
-                "sha256:26f4fbd6f5e1dabff70a9ba0d2c4bd30761086454aa30dddc5b52764ee4852b7",
-                "sha256:3b15d56a9cd40c52d7ab763ff0bc700edbb4e1a298dc43715ecccd605002cf11",
-                "sha256:3b2378ad387f49cbb328205bda569b9f87288d6bc1bf4cd683c34523a2341efe",
-                "sha256:400599c0fe58d21522cae0e8b22318e09d9729451b17ee61ba8e1e7c0346565c",
-                "sha256:47b8cb81a7d18dbaf4fed6a61c3cecdb5adec7b4ac292bddb0d016d57e8507d5",
-                "sha256:53eaed412477c836e1b9522c19858a8557d6e595077830146182225613b11a75",
-                "sha256:58e626e1f7dfbb620d08d457325a4cdac65d1809680009f46bf41eaf74ad0187",
-                "sha256:5a52e1b006bfa5be04fe4debbcdd2688432a9af4b207a3f429c74ad625022641",
-                "sha256:5c7ca4e449ac9f99b3b9d4693debb1d6d237d1542dd6a56b3305fe8a9620f883",
-                "sha256:682e54f0ce8f45981878756d7203fd01e188cc6c8b2c5e2cf03675390b4534d5",
-                "sha256:76275ee077772c8dde04fb6c5bc24b91af1bb3e7f4816fd1852f1495a64dad93",
-                "sha256:79bfb2f0bd7cbf9ea256612c9523367e5ec51d7cd616ae20ca2c90f575d839a2",
-                "sha256:7f4dd50874177d2bb060d74769210f3bce1af87a8c7cf5b37d032ebf94f0aca3",
-                "sha256:8944a16020c07b682df861207b7e0efcd2f46c7488619cb55f65882279119389",
-                "sha256:8aa7009437640beb2768bfd06da049bad0df85f47ff18426261acecd1cf00897",
-                "sha256:9105ce82dcc32c73eb53a04c869b6a4bc756b43e4385f76ea7943e827f529e4d",
-                "sha256:933df612c453928f1c6faa9236161a1d999a26cd40abf1dc5d7ebbc6dbfb8fca",
-                "sha256:939f36f21a8c571686eb491acfffa9c7f1ac345087281b412d63ea39ca14ec4a",
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-                "sha256:a02f6c3e229d0b7220bd74600e9351e18bc0c361b05f29adae0d10599ae0e326",
-                "sha256:a0c0a9f06872330d0dd31b45607197caab3c22777600e88031bfe66799e70bb0",
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-                "sha256:acc4df99308111585121db217681f1ce0eecb48d3a828a2f9bbf9773f4937e9e",
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-                "sha256:d22702cadb86b6fcba0e6b907d9f84a312db9cd6934ee728144ce3018e715ee1",
-                "sha256:d3fcf0819dc3fea58be1fd1ca390851bdb719a549850e708ed858503ff25d995",
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-                "sha256:e3a21a720791712ed721c7b95d433e036134de6f18c77dbe96119eaf7aa08004",
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-                "sha256:f16814a4a96dc04bf1da7d53ee8d5b1d6decfc1a92a63349bb15d37b6a263dd9",
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-            ],
-            "version": "==1.1.0"
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+                "sha256:fd34fbbfbc40628200730bc1febe30631347103fc8d3d4fa012c21ab9c11eca9"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==1.3.1"
         },
         "matplotlib": {
             "hashes": [
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-            "version": "==3.1.3"
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         "numpy": {
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     "develop": {
@@ -216,38 +321,41 @@
         },
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+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==20.3.0"
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-            "version": "==1.5"
+            "version": "==1.5.4"
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         "babel": {
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-            "version": "==2.8.0"
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==2.9.0"
         },
         "certifi": {
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-            "version": "==2019.11.28"
+            "version": "==2020.11.8"
         },
         "chardet": {
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@@ -258,48 +366,52 @@
         },
         "codecov": {
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             "index": "pypi",
-            "version": "==2.0.15"
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-            "version": "==5.0.3"
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@@ -313,85 +425,101 @@
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@@ -417,6 +545,7 @@
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@@ -455,27 +584,39 @@
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@@ -484,131 +625,189 @@
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@@ -623,65 +822,69 @@
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@@ -692,116 +895,133 @@
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-                "sha256:00cf895504a7895ee433807c62094cf1e95f065843bf3acd17037c3e9a2becd4",
-                "sha256:728607e34d60456d736cc7991fd236afb828b21b82f956c5ea75f94c8414040a"
+                "sha256:22c795ba2832a169ca301cd0a083f7a434e09c538c70beb42782c073651b707d",
+                "sha256:373413d0f82425aaa28fb288009bf0d0964711d347763af2f1b65cafcb028c82"
             ],
             "index": "pypi",
-            "version": "==0.4.3"
+            "version": "==0.5.0"
         },
         "sphinxcontrib-applehelp": {
             "hashes": [
-                "sha256:edaa0ab2b2bc74403149cb0209d6775c96de797dfd5b5e2a71981309efab3897",
-                "sha256:fb8dee85af95e5c30c91f10e7eb3c8967308518e0f7488a2828ef7bc191d0d5d"
+                "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a",
+                "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"
             ],
-            "version": "==1.0.1"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.0.2"
         },
         "sphinxcontrib-devhelp": {
             "hashes": [
-                "sha256:6c64b077937330a9128a4da74586e8c2130262f014689b4b89e2d08ee7294a34",
-                "sha256:9512ecb00a2b0821a146736b39f7aeb90759834b07e81e8cc23a9c70bacb9981"
+                "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e",
+                "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"
             ],
-            "version": "==1.0.1"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.0.2"
         },
         "sphinxcontrib-htmlhelp": {
             "hashes": [
-                "sha256:4670f99f8951bd78cd4ad2ab962f798f5618b17675c35c5ac3b2132a14ea8422",
-                "sha256:d4fd39a65a625c9df86d7fa8a2d9f3cd8299a3a4b15db63b50aac9e161d8eff7"
+                "sha256:3c0bc24a2c41e340ac37c85ced6dafc879ab485c095b1d65d2461ac2f7cca86f",
+                "sha256:e8f5bb7e31b2dbb25b9cc435c8ab7a79787ebf7f906155729338f3156d93659b"
             ],
-            "version": "==1.0.2"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.0.3"
         },
         "sphinxcontrib-jsmath": {
             "hashes": [
                 "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178",
                 "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"
             ],
+            "markers": "python_version >= '3.5'",
             "version": "==1.0.1"
         },
         "sphinxcontrib-qthelp": {
             "hashes": [
-                "sha256:513049b93031beb1f57d4daea74068a4feb77aa5630f856fcff2e50de14e9a20",
-                "sha256:79465ce11ae5694ff165becda529a600c754f4bc459778778c7017374d4d406f"
+                "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72",
+                "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"
             ],
-            "version": "==1.0.2"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.0.3"
         },
         "sphinxcontrib-serializinghtml": {
             "hashes": [
-                "sha256:c0efb33f8052c04fd7a26c0a07f1678e8512e0faec19f4aa8f2473a8b81d5227",
-                "sha256:db6615af393650bf1151a6cd39120c29abaf93cc60db8c48eb2dddbfdc3a9768"
+                "sha256:eaa0eccc86e982a9b939b2b82d12cc5d013385ba5eadcc7e4fed23f4405f77bc",
+                "sha256:f242a81d423f59617a8e5cf16f5d4d74e28ee9a66f9e5b637a18082991db5a9a"
             ],
-            "version": "==1.1.3"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.1.4"
+        },
+        "toml": {
+            "hashes": [
+                "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b",
+                "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"
+            ],
+            "markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==0.10.2"
         },
         "typed-ast": {
             "hashes": [
                 "sha256:0666aa36131496aed8f7be0410ff974562ab7eeac11ef351def9ea6fa28f6355",
                 "sha256:0c2c07682d61a629b68433afb159376e24e5b2fd4641d35424e462169c0a7919",
+                "sha256:0d8110d78a5736e16e26213114a38ca35cb15b6515d535413b090bd50951556d",
                 "sha256:249862707802d40f7f29f6e1aad8d84b5aa9e44552d2cc17384b209f091276aa",
                 "sha256:24995c843eb0ad11a4527b026b4dde3da70e1f2d8806c99b7b4a7cf491612652",
                 "sha256:269151951236b0f9a6f04015a9004084a5ab0d5f19b57de779f908621e7d8b75",
+                "sha256:3742b32cf1c6ef124d57f95be609c473d7ec4c14d0090e5a5e05a15269fb4d0c",
                 "sha256:4083861b0aa07990b619bd7ddc365eb7fa4b817e99cf5f8d9cf21a42780f6e01",
                 "sha256:498b0f36cc7054c1fead3d7fc59d2150f4d5c6c56ba7fb150c013fbc683a8d2d",
                 "sha256:4e3e5da80ccbebfff202a67bf900d081906c358ccc3d5e3c8aea42fdfdfd51c1",
                 "sha256:6daac9731f172c2a22ade6ed0c00197ee7cc1221aa84cfdf9c31defeb059a907",
                 "sha256:715ff2f2df46121071622063fc7543d9b1fd19ebfc4f5c8895af64a77a8c852c",
                 "sha256:73d785a950fc82dd2a25897d525d003f6378d1cb23ab305578394694202a58c3",
+                "sha256:7e4c9d7658aaa1fc80018593abdf8598bf91325af6af5cce4ce7c73bc45ea53d",
                 "sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b",
                 "sha256:8ce678dbaf790dbdb3eba24056d5364fb45944f33553dd5869b7580cdbb83614",
+                "sha256:92c325624e304ebf0e025d1224b77dd4e6393f18aab8d829b5b7e04afe9b7a2c",
                 "sha256:aaee9905aee35ba5905cfb3c62f3e83b3bec7b39413f0a7f19be4e547ea01ebb",
+                "sha256:b52ccf7cfe4ce2a1064b18594381bccf4179c2ecf7f513134ec2f993dd4ab395",
                 "sha256:bcd3b13b56ea479b3650b82cabd6b5343a625b0ced5429e4ccad28a8973f301b",
                 "sha256:c9e348e02e4d2b4a8b2eedb48210430658df6951fa484e59de33ff773fbd4b41",
                 "sha256:d205b1b46085271b4e15f670058ce182bd1199e56b317bf2ec004b6a44f911f6",
                 "sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34",
                 "sha256:d5d33e9e7af3b34a40dc05f498939f0ebf187f07c385fd58d591c533ad8562fe",
+                "sha256:d648b8e3bf2fe648745c8ffcee3db3ff903d0817a01a12dd6a6ea7a8f4889072",
+                "sha256:f208eb7aff048f6bea9586e61af041ddf7f9ade7caed625742af423f6bae3298",
+                "sha256:fac11badff8313e23717f3dada86a15389d0708275bddf766cca67a84ead3e91",
                 "sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4",
+                "sha256:fcf135e17cc74dbfbc05894ebca928ffeb23d9790b3167a674921db19082401f",
                 "sha256:fe460b922ec15dd205595c9b5b99e2f056fd98ae8f9f56b888e7a17dc2b757e7"
             ],
-            "markers": "implementation_name == 'cpython' and python_version < '3.8'",
+            "markers": "python_version < '3.8' and implementation_name == 'cpython'",
             "version": "==1.4.1"
         },
         "urllib3": {
             "hashes": [
-                "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc",
-                "sha256:87716c2d2a7121198ebcb7ce7cccf6ce5e9ba539041cfbaeecfb641dc0bf6acc"
+                "sha256:19188f96923873c92ccb987120ec4acaa12f0461fa9ce5d3d0772bc965a39e08",
+                "sha256:d8ff90d979214d7b4f8ce956e80f4028fc6860e4431f731ea4a8c08f23f99473"
             ],
             "index": "pypi",
-            "version": "==1.25.8"
-        },
-        "wcwidth": {
-            "hashes": [
-                "sha256:8fd29383f539be45b20bd4df0dc29c20ba48654a41e661925e612311e9f3c603",
-                "sha256:f28b3e8a6483e5d49e7f8949ac1a78314e740333ae305b4ba5defd3e74fb37a8"
-            ],
-            "version": "==0.1.8"
+            "version": "==1.26.2"
         },
         "wrapt": {
             "hashes": [
-                "sha256:565a021fd19419476b9362b05eeaa094178de64f8361e44468f9e9d7843901e1"
+                "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"
             ],
-            "version": "==1.11.2"
+            "version": "==1.12.1"
         },
         "zipp": {
             "hashes": [
-                "sha256:5c56e330306215cd3553342cfafc73dda2c60792384117893f3a83f8a1209f50",
-                "sha256:d65287feb793213ffe11c0f31b81602be31448f38aeb8ffc2eb286c4f6f6657e"
+                "sha256:102c24ef8f171fd729d46599845e95c7ab894a4cf45f5de11a44cc7444fb1108",
+                "sha256:ed5eee1974372595f9e416cc7bbeeb12335201d8081ca8a0743c954d4446e5cb"
             ],
-            "version": "==2.2.0"
+            "markers": "python_version < '3.8'",
+            "version": "==3.4.0"
         }
     }
 }
diff --git a/aguaclara/design/ent_floc.py b/aguaclara/design/ent_floc.py
index 272cb847..4274bd9d 100644
--- a/aguaclara/design/ent_floc.py
+++ b/aguaclara/design/ent_floc.py
@@ -7,8 +7,8 @@
 Example:
     >>> from aguaclara.design.ent_floc import *
     >>> etf = EntTankFloc(q=20 * u.L / u.s, floc=Flocculator(hl=35 * u.cm))
-    >>> etf.ent.l
-    <Quantity(40.56720950298926, 'inch')>
+    >>> round(etf.ent.l, 5)
+    <Quantity(40.56721, 'inch')>
 """
 from aguaclara.design.ent import *
 from aguaclara.design.lfom import *
diff --git a/aguaclara/design/floc.py b/aguaclara/design/floc.py
index c42e6462..38072250 100644
--- a/aguaclara/design/floc.py
+++ b/aguaclara/design/floc.py
@@ -4,8 +4,8 @@
 Example:
     >>> from aguaclara.design.floc import *
     >>> floc = Flocculator(q = 20 * u.L / u.s, hl = 40 * u.cm)
-    >>> floc.chan_w
-    <Quantity(34.0, 'centimeter')>
+    >>> round(floc.chan_w)
+    <Quantity(34, 'centimeter')>
 """
 import aguaclara.core.head_loss as hl
 import aguaclara.design.human_access as ha
diff --git a/aguaclara/design/sed_chan.py b/aguaclara/design/sed_chan.py
index c4f17ab7..38b616a2 100644
--- a/aguaclara/design/sed_chan.py
+++ b/aguaclara/design/sed_chan.py
@@ -5,8 +5,8 @@
 Example:
     >>> from aguaclara.design.sed_chan import *
     >>> sed_chan = SedimentationChannel(q = 20 * u.L / u.s, temp = 20 * u.degC)
-    >>> sed_chan.inlet_w
-    <Quantity(59.52755905511811, 'inch')>
+    >>> round(sed_chan.inlet_w, 5)
+    <Quantity(59.52756, 'inch')>
 """
 from aguaclara.core.units import u
 import aguaclara.core.constants as con
diff --git a/aguaclara/design/sed_tank.py b/aguaclara/design/sed_tank.py
index 84a91517..1cf0862c 100644
--- a/aguaclara/design/sed_tank.py
+++ b/aguaclara/design/sed_tank.py
@@ -3,8 +3,8 @@
 Example:
     >>> from aguaclara.design.sed_tank import *
     >>> sed_tank = SedimentationTank(q = 60 * u.L / u.s)
-    >>> sed_tank.diffuser_hl
-    <Quantity(0.009259259259259259, 'centimeter')>
+    >>> round(sed_tank.diffuser_hl, 5)
+    <Quantity(0.00926, 'centimeter')>
 """
 from aguaclara.core.units import u
 import aguaclara.core.constants as con
diff --git a/aguaclara/research/stock_qc.py b/aguaclara/research/stock_qc.py
index 1ce4bd18..8cea2490 100644
--- a/aguaclara/research/stock_qc.py
+++ b/aguaclara/research/stock_qc.py
@@ -162,10 +162,11 @@ class Variable_Q_Stock(Stock):
     >>> from aguaclara.research.stock_qc import Variable_Q_Stock
     >>> from aguaclara.core.units import u
     >>> reactor = Variable_Q_Stock(Q_sys = 1*u.mL/u.s, C_sys = 1.4*u.mg/u.L, C_stock = 7.6*u.mg/u.L)
-    >>> reactor.Q_stock()
-    <Quantity(0.18421052631578946, 'milliliter / second')>
-    >>> reactor.rpm(vol_per_rev = .5*u.mL/u.rev).to(u.rev/u.min)
-    <Quantity(22.105263157894736, 'rev / minute')>
+    >>> round(reactor.Q_stock(), 6)
+    <Quantity(0.184211, 'milliliter / second')>
+    >>> pump_speed = reactor.rpm(vol_per_rev = .5*u.mL/u.rev).to(u.rev/u.min)
+    >>> round(pump_speed, 6)
+    <Quantity(22.105263, 'rev / minute')>
     """
 
     def __init__(self, Q_sys, C_sys, C_stock):
diff --git a/tests/core/test_physchem.py b/tests/core/test_physchem.py
index 6b2e6c28..6875c4b5 100644
--- a/tests/core/test_physchem.py
+++ b/tests/core/test_physchem.py
@@ -18,13 +18,13 @@ def test_density_air(self):
 
     def test_density_gas(self):
         """Test the gas density function"""
-        answer = 1.29320776*u.kg/u.m**3
+        answer = 1.29320768*u.kg/u.m**3
         self.assertAlmostEqualQuantity(pc.density_gas(1*u.atm, 28.97*u.g/u.mol, 273*u.K), answer)
-        answer = 2.06552493*u.kg/u.m**3
+        answer = 2.06552481*u.kg/u.m**3
         self.assertAlmostEqualQuantity(pc.density_gas(5*u.atm, 10*u.g/u.mol, 295*u.K), answer)
-        answer = 1.62487961*u.kg/u.m**3
+        answer = 1.62487951*u.kg/u.m**3
         self.assertAlmostEqualQuantity(pc.density_gas(101325*u.Pa, 40*u.g/u.mol, 300*u.K), answer)
-        answer = 0.20786109*u.kg/u.m**3
+        answer = 0.20786108*u.kg/u.m**3
         self.assertAlmostEqualQuantity(pc.density_gas(700*u.mmHg, 5*u.g/u.mol, 270*u.K), answer)
         answer = 0*u.kg/u.m**3
         self.assertAlmostEqualQuantity(pc.density_gas(0*u.atm, 28.97*u.g/u.mol, 273*u.K), answer)
@@ -271,7 +271,7 @@ def test_fric_pipe(self):
                 self.assertAlmostEqualQuantity(pc.fric_pipe(*i[0]), i[1] * u.dimensionless)
 
     def test_fric_range(self):
-        """fric_pipe should raise an error if 0 <= Roughness <= 1 is not true."""
+        """fric_pipe should raise an error if 0 <= Roughness is not true."""
         checks = ([1 * u.m**3/u.s, 2 * u.m, 0.1 * u.m**2/u.s, -0.1 * u.m],)
         for i in checks:
             with self.subTest(i=i):
@@ -290,7 +290,7 @@ def test_fric_rect(self):
                 self.assertAlmostEqualQuantity(pc.fric_rect(*i[0]), i[1] * u.dimensionless)
 
     def test_fric_rect_range(self):
-        """fric_rect should raise an error if 0 <= PipeRough <= 1 is not true."""
+        """fric_rect should raise an error if 0 <= Roughness not true."""
         checks = ([1 * u.m**3/u.s, 1 * u.m, 1 * u.m, 1 * u.m**2/u.s, -1.1 * u.m, True],)
         for i in checks:
             with self.subTest(i=i):
@@ -324,9 +324,8 @@ def test_fric_channel(self):
                 self.assertAlmostEqualQuantity(pc.fric_channel(*i[0]), i[1] * u.dimensionless)
 
     def test_fric_channel_range(self):
-        """fric_channel should raise an error if 0 <= Roughness <= 1 is not true."""
-        checks = ((1 * u.m**2, 1 * u.m, 1 * u.m**2/u.s, 1 * u.m**2/u.s, -0.0001 * u.m),
-                  (1 * u.m**2, 1 * u.m, 1 * u.m**2/u.s, 1 * u.m**2/u.s, 1.1 * u.m))
+        """fric_channel should raise an error if 0 <= Roughness is not true."""
+        checks = ((1 * u.m**2, 1 * u.m, 1 * u.m/u.s, 1 * u.m**2/u.s, -0.0001 * u.m),)
         for i in checks:
             with self.subTest(i=i):
                 self.assertRaises(ValueError, pc.fric_channel, *i)
diff --git a/tests/core/test_utility.py b/tests/core/test_utility.py
index 9c66628e..8f1554f4 100644
--- a/tests/core/test_utility.py
+++ b/tests/core/test_utility.py
@@ -56,22 +56,22 @@ def density_air(Pressure, MolarMass, Temperature):
             """
             return (Pressure * MolarMass / (u.R * Temperature)).to(u.kg/u.m**3)
 
-        answer = 1.29320776*u.kg/u.m**3
+        answer = 1.29320768*u.kg/u.m**3
         self.assertAlmostEqualQuantity(density_air(1*u.atm, 28.97*u.g/u.mol, 273*u.K), answer)
 
-        answer = 1.29320776*u.kg/u.m**3
+        answer = 1.29320768*u.kg/u.m**3
         self.assertAlmostEqualQuantity(density_air(MolarMass=28.97*u.g/u.mol, Temperature=273*u.K, Pressure=1*u.atm), answer)
 
-        answer = np.array([1.29320776, 2.58641552, 3.87962328, 12.93207761])*u.kg/u.m**3
+        answer = np.array([1.29320768, 2.58641536, 3.87962304, 12.93207681])*u.kg/u.m**3
         self.assertAlmostEqualArrayQuantity(density_air([1, 2, 3, 10]*u.atm, 28.97*u.g/u.mol, 273*u.K), answer)
 
-        answer = np.array([1.29320776, 2.58641552, 3.87962328, 12.93207761])*u.kg/u.m**3
+        answer = np.array([1.29320768, 2.58641536, 3.87962304, 12.93207681])*u.kg/u.m**3
         self.assertAlmostEqualArrayQuantity(density_air(MolarMass=28.97*u.g/u.mol, Temperature=273*u.K, Pressure=[1, 2, 3, 10]*u.atm), answer)
 
-        answer = np.array([[1.29320776, 1.20526784, 1.07134919, 0.89279099],
-                           [2.58641552, 2.41053569, 2.14269839, 1.78558199],
-                           [3.87962328, 3.61580354, 3.21404759, 2.67837299],
-                           [12.93207761, 12.05267848, 10.71349198, 8.92790998]])*u.kg/u.m**3
+        answer = np.array([[1.29320768, 1.20526777, 1.07134913, 0.89279094],
+                           [2.58641536, 2.41053555, 2.14269826, 1.78558189],
+                           [3.87962304, 3.61580333, 3.21404740, 2.67837283],
+                           [12.93207681, 12.05267773, 10.71349131, 8.92790943]])*u.kg/u.m**3
         output = density_air([1, 2, 3, 10]*u.atm, [28.97, 27, 24, 20]*u.g/u.mol, 273*u.K)
         self.assertEqual(output.units, answer.units)
         for i in range(len(output.magnitude)):
diff --git a/tests/design/test_floc.py b/tests/design/test_floc.py
index bd356348..8470ddd8 100644
--- a/tests/design/test_floc.py
+++ b/tests/design/test_floc.py
@@ -71,4 +71,8 @@
 ])
 
 def test_floc(actual, expected):   
-    assert actual == expected
+    if (type(actual) == u.Quantity and type(expected) == u.Quantity):
+        expected = expected.to(actual.units)
+        assert actual.magnitude == pytest.approx(expected.magnitude)
+    else:
+        assert actual == pytest.approx(expected)